JPH11213081A - Odds sheet, odds data processor and odds data analyzing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To indicate the structure of a race so as to easily understand it. SOLUTION: A frame number successive victories type odds sheet is formed by arranging plural odds columns for the number of starting frames correspondingly to respective frame numbers of a noticed race. A relative odds scale corresponding to practical odds values are written on the odds sheet. A cell of a prescribed shape is arranged on a prescribed position of the odds sheet which is specified by a frame number and an odds value included in odds data. A betting pattern is judged based on plural adjacent odds data on the odds sheet and displayed on the odds sheet.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an odds sheet, an odds data processing apparatus, and an odds data analysis method for analyzing odds in a horse race, a bicycle race, a boat race, an auto race, and similar game machines.

[0002]

2. Description of the Related Art In general, odds (Od) used in horse racing and the like are used.
ds) is an approximate payout rate, that is, a payout obtained by converting the number of voting tickets released for a race (race) (for example, the number of winning horse votes in the case of horse racing) into a payout rate. The odds will be announced and posted at racetracks, off-track betting booths, television and radio, telephone voting, bicycle racetracks, boat racetracks, auto racetracks, and the like. Odds predictions are also published in horse racing and sports newspapers along with horse racing predictions. Also, when a bet is made in a game simulating a horse race, a dock race, or the like, a bet rate corresponding to the odds is generated.

[0003] With regard to horse racing, according to the provisions of Article 10 of the Horse Racing Law Enforcement Order, the odds classified according to each winning horse voting method released for each race are changed at every fixed time interval according to the release voting that fluctuates every moment. Will be announced. In general, the winning betting ticket (betting ticket) in the central horse race is a winning voting method (winning type), a winning voting method (winning type), a winning voting method (winning type), a double winning voting method (winning type), horse There are four types corresponding to each of the number consecutive winning double horse voting method (horse number consecutive winning voting method). The winning prize-winning betting ticket is for winning only one horse. The winning voting ticket is a winning race in which up to three (or two if the number of runners is seven or less) arrival horses. The frame number winning victory voting ticket is a winning horse in which the first and second horses are paired with one frame number regardless of the order of arrival. The Maban consecutive winning voting ticket is
The horse that arrives in the first and second place is a winning horse with a set of horse numbers regardless of the order of arrival. Purchasing a winning betting ticket and performing a winning vote is referred to as "purchasing a betting ticket".

[0004] The winning horse betting ticket is 10 yen per vote in the horse racing method. The minimum face value of voting tickets currently on sale is 100 yen, and the minimum number of votes is in units of ten. Refund 1
Odds will be announced as an approximate reimbursement multiple, announced in 00 yen vouchers. If there are too many winning voting tickets (applied votes) and the rebate calculated by the predetermined calculation is less than 100 yen, which is the amount of the denomination, the amount of the denomination will be the amount by the rules.

FIG. 62 is a diagram conceptually showing a flow until the above-mentioned odds are posted. When each of the fans (votes) purchases a winning voting ticket and wins the voting (step s1), odds are calculated based on a predetermined payout formula (step s2), and the number of the payout ratio is displayed. (Step s3). FIG. 63 is a diagram showing an example of posting odds for a win and a win. FIG. 64
It is a figure which shows the posting example of the odds of a frame number streak ceremony. Fig. 65
It is a figure which shows the example of a display of the odds of a horse number winning streak.

[0006] In the case of bicycle races, boat races, and auto races, a refund is similarly calculated in accordance with the respective laws. In a game device or a game board simulating or similar to a horse race or a bicycle race, the odds are calculated according to the respective rules.

[0007]

In general, the odds of a horse that is popular and has many votes won are lower, while the odds of a horse that is less popular and are less voted are higher. In the case of the winning ceremony, we vote for the horse that seems to be the first place, so if you look at the odds, any horse will gain popularity,
You can see which horses are not popular. However, in the case of the win type, the frame number streak type, and the horse number streak type, the combination with the lowest odds is known, but the meaning of the odds of many other combinations is unknown. Fans only look at the odds of the pair number (buy eye) of the combination for which they win or vote to see what the odds are.

[0008] The frame number streak or horse number streak is a combination of two horses to be first and second, and the maximum number of combinations is 36 in the frame number streak and 153 in the horse number streak. Just looking at the numbers does not tell how each horse is evaluated and voted.

[0009] To vote for a winning horse means that a winning horse is predicted before that. The characteristics of the race concerned, the evaluation of each running horse and an inter-comparison are made, and as a result a winning vote is made. In order to win, you must choose a voting method, decide what to buy, and decide the amount to vote. In the case of the frame number streak and the horse number streak, it is rare to purchase only one purchase item for voting. Normally,
Buy 3 or 5 and multiple copies. Also choose the top three heads that are likely to come in first, second and third place, and buy three points in combination of the three heads, two points for holding in case of emergency, a total of five points This is the standard purchase method. Another method of purchasing is to select one of the favorite horses that is considered to have the highest probability of winning, and then shed some points from this horse to a suitable horse, or buy several horses that are likely to arrive at the top And buy a box to vote for all the horse combinations.

[0010] There are only as many fans as there are fans to select.
The choice of the buyer's eyes represents the content and structure of the race. If any of the horses running in the race is one of the favorite horses of the ability that has surpassed one horse, the purchase eye will naturally be a buy eye centered on that horse, and it will be a solid horse race centered on the favorite horse. Expected to be a low refund. If the running horses have almost the same ability and it is difficult for them, the buyers will be separated by the fans, the winning voting tickets will be distributed to each horse, it will be a rough horse race, Expected to be a high refund.

[0011] Unlike the election, the winning horse voting ticket allows not only one vote per person but any number of votes, and there is no purchase limit. This further complicates the content of the odds. For each vote, the odds show the will of each fan. However, fans usually buy multiple types of winning voting tickets. People who have purchased many winning ballots are not always right. For example, a person who has purchased a winning betting ticket for 1,000,000 yen is not always guaranteed, and a person who has purchased a winning betting ticket for 100 yen may be awarded. A popular horse with low odds is not always the only one.

For example, in the case of central horse races, winning voting tickets are sold not only at horse racetracks (inside the venue) where horse racing is held, but also at off-site betting ticket voting ticket offices (outside the venue). Each share in the total sales is 9% off-site versus 10% on-site.
0%. Most fans go to the racecourse and vote for the horses off-site rather than voting for them at the racetrack. Outside the venue, there are telephone voting as well as off-site betting ballot ticket sales offices. For telephone voting, the CRT method (Cathode Ray Tu
be System), ARS method (Audio Response System) in which application is made directly to the computer by touch-tone telephone
), PAT system (Personal Access), which applies directly to a computer via a communication line using a personal computer
Terminal System).

[0013] Rather than going to a racetrack and watching the horses running directly and voting for horses, many fans expect information on horse racing newspapers, sports newspapers, radios, televisions, etc. outside the field, You decide what to buy, decide the voting amount while checking the odds, and vote for the winning horse in each method. Fans do not always know the degree of popularity of each horse in the race they are participating in, the mutual evaluation of each horse, the combination of each horse, etc., and it is impossible to understand the overall structure of odds. is there. Of course, the anticipated behavior of winning a horse is personal and not influenced by others, but the betting of horse racing is not always correct because your decision is not absolute and correct. There are many. It is important to show the content and structure of the participating races to the horse racing fans so that they can understand and enjoy horse racing and participate in horse racing. More specifically, odds are a collection of the ideas, beliefs, and ratings of each horse who participated in the race and voted for the horse. Of course, as described above, since it is not one vote per person, it does not strictly represent each person's will, but the odds almost exactly represent the character and structure of the race.

If voting is concentrated on one leading horse and it is considered that there is no other horse besides the leading horse as a whole fan, such a structure is shown, and the refund amount is 100. It will be a favorite horse race that everyone on the yen stand will understand. Also, 1
Voting is concentrated on the head horse, but if there is a fan who thinks that this horse is a little dangerous, the odds will show such a structure, a betting ticket with a rebate amount of 10,000 yen or more, It will be a turbulent horse race that will disappoint the expectations of many fans who voted for their favorite horse.

At present, the overall structure of the odds, particularly the odds structure of the frame number streak and the horse number streak, is complicated, so that all fans only need to look at the odds of each horse or the like to determine what kind of voting method. It was difficult to judge whether or not they were doing it, and it could not be said that a system was provided that allowed fans to enjoy horse racing even if they lost or profited. In other words, the dynamic change in odds from the launch of the winning voting ticket until the release closes is displayed in a visually easy-to-understand manner, and just by looking at the odds you can see the horse race and enjoy horse racing The method was not provided. Rather than simply displaying the odds of a fan's winning vote as a row of numbers,
It would be useful if there was a way to analyze the structure and evaluation and present it in an easy-to-understand manner. In addition, bicycle racing other than horse racing, boat racing,
The same can be said for an auto race or the like.

The present invention has been made in view of the above points, and an object thereof is to provide an odds sheet, an odds data processing device, and an odds data analyzing method capable of presenting the structure of a race in an easily understandable manner. Is to do.

[0017]

In order to solve the above-mentioned problems, according to the present invention, an odds sheet or odds in which odds columns having a predetermined scale corresponding to odds values are arranged in correspondence with each of the starting numbers. A predetermined identification index is arranged at a predetermined position corresponding to each race number based on the odds data of the race of interest using the development area. Therefore, just by looking at the odds sheet or the odds development area, it is possible to understand how the odds corresponding to each race number are distributed, and to easily understand the structure of the race of interest.

The odds column described above includes a main odds area corresponding to odds with a high appearance frequency and a sub odds area corresponding to odds with a low appearance frequency. It is preferable to make it larger. In general, in races such as horse races, voting is performed by selecting a run number having a high appearance frequency, and a run number in an order of highest rank appears in many of the run numbers having a high appearance frequency. Therefore, by increasing the relative proportion of the main odds area corresponding to the odds with a high appearance frequency, it is possible to emphasize and represent a part desired by the voter in the structure of the race of interest.

In particular, it is preferable that the main odds region described above is set so as to include odds whose appearance frequency is approximately 75%. For example, if an area in which a result of a race appears at a frequency of about 50% is set as a main odds area, only about 50% of hits will be achieved even if a vote is made for a run number corresponding to the odds included in the main odds area. , Frequency of occurrence is too low to be valid. On the other hand, if the region where the result of the race appears at a frequency close to 100% is set as the main odds region, high odds that hardly hit the target are included, and the region where odds with a high probability of hitting are distributed is narrowed. It is hard to see. Therefore, it is preferable to set the main odds region so that the appearance frequency is approximately 75%. Actually, the main odds area was set so that the appearance frequency would be 75%, and the above-mentioned odds sheet was created and confirmed for past actual horse racing races. It has been confirmed that it is included in the main odds region.

The above-mentioned odds sheet or odds development area is, for each of the voting methods of the race of interest, a typical one, a win-win type, a win-win type, a streak-type (for example, in the case of a horse race, a frame number streak) It is preferable to prepare for each of the following formulas. The odds tend to be different for each voting method, and the range of the main odds area suitable for each voting method is different. Therefore, by setting the odds pillar suitable for each voting method, an accurate race for each voting method of the race of interest is set. Analysis of the structure becomes possible.

When the voting method is a winning streak, two run numbers correspond to one odds data. In the odds sheet or odds development area, respectively, these two run numbers are separately identified. It is preferable to arrange an index. By examining the distribution of odds corresponding to each run number, you can know the structure of the race, but in order for voters to be able to understand just by looking, the correspondence between run numbers and odds should be simple. Is good. Even if the voting method is a streak ceremony, by showing the relationship between each run number and the odds, the relationship can be simply represented, and the structure of the race can be easily understood.

When the voting method is a streak method, a plurality of odds correspond to one run number, unlike the case of a win method, but the odds values of the plurality of odds are mutually adjacent. Is included in the predetermined group, it is preferable to determine that they belong to the same group and perform grouping. By grouping a plurality of odds scattered along each odds pillar in this manner, it is easy to grasp the degree of popularity for each race number, and to easily understand the structure of the race.

If the voting method is a winning streak, data having odd values adjacent to each other is extracted from each odds data.
It is preferable to determine the voting pattern based on a combination of the run numbers corresponding to the plurality of odds data. By determining the voting pattern of the race of interest based on the odds data in this manner, it is possible to know the approximate nature of the race.

In particular, in the above-described grouping of each odds column and determination of a voting pattern, when checking whether or not each odds is adjacent to each other, instead of using the relative odds scale corresponding to the actual odds value, It is preferable to use normalized odds scales evenly distributed along the odds column. By using this normalized scale, it is possible to easily check whether or not adjacent odds exist within a predetermined value along the scale, and the above-described grouping or voting pattern determination is facilitated.

After the above-mentioned voting pattern is determined, it is preferable to determine an odds pattern indicating the tendency of the entire voting based on the determined voting pattern.
Analyzes the odds pattern that indicates whether the race to be analyzed is, for example, whether the race is centered on the favorite only, is centered on the favorite and the opponent, or is a three-way triangulation of the favorite, the opposition, and the attention This allows the best understanding of the structure of the race. Therefore, by determining the odds pattern based on the combination of the obtained voting patterns, the characteristics of the race can be most clearly understood.

[0026]

BEST MODE FOR CARRYING OUT THE INVENTION An odds data processing apparatus according to an embodiment of the present invention sets an odds column for developing odds of a race of interest according to a winning voting method, and arranges actual odds on the odds column. In addition, it is characterized in that various analyzes are performed based on the arranged odds and the results are output. Hereinafter, an odds data processing device according to an embodiment will be described in detail with reference to the drawings.

FIG. 1 is a diagram showing an overall configuration of an odds data processing apparatus according to one embodiment. The odds data processing device 1 shown in FIG. 1 includes a performance data input unit 10, an odds column setting processing unit 12, an odds data input unit 14, an odds sheet setting processing unit 16, an odds development processing unit 18, a cluster determination unit 2, and the like.
0, a voting pattern determination unit 22, a voting pattern registration priority order storage unit 24, an odds pattern determination unit 26, and an analysis result output unit 28.

The result data input section 10 is for obtaining result data relating to races for a predetermined number of years in the past. There are several ways to obtain actual data. For example, a host device (not shown) connected to a database system for managing performance data is connected to the odds data processing device 1 via a communication line, and desired performance data is connected via the communication line. May be received and obtained, or distribution data received by data teletext may be received and obtained. Alternatively, a user operates a keyboard or the like to manually input data while viewing a data book or the like, or a storage device (for example, a hard disk device or the like) storing data for a predetermined number of years in the past is built in the odds data processing device. A necessary data may be read out from the data by the performance data input unit 10.

The odds column setting processing section 12 sets the odds columns for each of the winning voting methods of the win type, the multiple win type, the frame number streak type, and the horse number streak type based on the result data input by the result data input portion 10. Set. The odds pillar determines how the odds data of the race to be analyzed is developed, and is used as a scale when plotting the odds corresponding to each horse number or each frame number for each winning voting method. The odds scale is set.

An important point of the present invention is that a wide range (for example, 1
How to condense the odds existing in the double to 9999 times and place them on the odds sheet (the odds columns are arranged in correspondence with each horse number and each frame number, details of which will be described later). To analyze. The key to converting the actual odds to the normalized odds needed for the analysis is the odds column with the relative odds scale. If the odds having such a wide range are arranged on odds columns having equally spaced scales, it is not possible to emphasize and display a part necessary for analysis. Therefore, in the odds column, an odds area mainly serving as the center of the analysis (this odds area is referred to as a “main odds area”) and an odds area that is reduced from the center of the analysis and displayed or omitted ( This odds area is referred to as a “secondary odds area”, and an odds scale suitable for each area is associated.

When examining what odds scale should be used in horse racing or the like, the main odds area in which the race result appears with an appearance frequency of about 50% is set. The frequency of occurrence is too low to be valid. A race included in the main odds region will appear only once in two times. So, three of the four races are included in the main odds area,
It is considered appropriate to set the main odds region such that the appearance frequency is approximately 75%. 75% like this
Set the main odds based on the standard, win, win,
Set the odds scale of the frame number streak and horse number streak,
Analysis of the odds data processing device 1 of the present embodiment for actual horse racing races in the past thousands of cases shows that the odds structure of each race is based on the odds data included in the main odds area described above. It has been confirmed that necessary information such as the cross correlation of odds and odds is included. Hereinafter, a specific example in which the odds pillar is set for each winning voting method will be described.

[Setting of Odds Pillar in Winning Type] FIG. 2 is a diagram showing the frequency of payout amounts by winning type. FIG. 3 is a diagram showing a specific value of the winning-type payout amount-based frequency and the cumulative ratio of the frequency. As shown in FIG. 3, the reimbursement amount when the cumulative ratio is about 75% is 800 yen.

On the other hand, FIG. 4 is a diagram showing the frequency in popularity order and the cumulative frequency indicating the number of the horse which has won first place in the win popularity. FIG. 5 is a scatter diagram of the rebate amount according to winning popularity.
As shown in FIG. 4, the probability of entering the first place in the race reaches about 75% if the player wins the fourth place in a win. The payout amount up to the fourth win popularity is approximately 3,000 yen as shown in FIG.

As described above, even if the main odds area is simply set on the basis of 75%, the cumulative ratio of the reimbursement amount is set to 75%.
The method of setting the relative odds scale differs depending on whether or not the cumulative percentage of the win popularity rank is up to 75%. In the example described above, up to 800 yen may be considered for the rebate amount, but up to 3000 yen must be taken into account in the win popularity ranking. For example, in this embodiment,
The range of the relative odds scale corresponding to the main odds area is set wide, and 3000 yen obtained from the win popularity ranking is adopted.

Therefore, the relative odds scale of the odds pillar of the win type is a main odds area in which 1 to 30 times (corresponding to 100 yen to 3000 yen) are substantially equally spaced, and
A secondary odds area is set in which one section is from 30 times to 9999 times, which is the maximum display number.

FIG. 6 is a diagram showing a specific example of a winning odds pillar. The odds pillar of the winning ceremony shown in the figure is from 1 to 3
A main odds area 100, which is a 75% area obtained by dividing the area up to 0 times at substantially equal intervals, and a slave odds area 10 in which the remaining 25% areas, 30 times to 9999 times, correspond to one section.
1 and a horse number area 102 in which the horse number corresponding to the odds column is inserted. The main odds area 100 and the sub odds area 101 are provided with relative odds scales indicating the corresponding actual odds. . In the main odds area 100 shown in FIG. 6, the relative odds scales are not always exactly equal, but may be made to correspond to exactly equal intervals (for example, the relative odds scale is 0, 5, 1
0, 15, 20, 25, 30).

[Setting of odds column in win type] FIG. 7 is a diagram showing frequencies according to payout amount in win type. FIG. 8 is a diagram showing a specific value of the frequency by payout amount and the cumulative ratio of the frequency in the winning type. As shown in FIG. 8, the reimbursement amount when the cumulative ratio is about 75% is 300 yen.

On the other hand, FIG. 9 is a diagram showing the frequency in popularity order and the cumulative frequency indicating the number of horses in third or second place in compound popularity. FIG. 3A shows the case where the first three places are entered, and FIG. 2B shows the case where the second place is entered. FIG. 10 is a scatter diagram of payout amount according to winning popularity. As shown in FIGS. 9 (a) and 9 (b), the probability of entering the third or second place in the race reaches about 75% if the fifth place in the win is fifth. The rebate amount up to the fifth in this compound popularity is about 600 yen at the upper limit as shown in FIG.

As described above, the cumulative ratio of the refund amount is 75%
In this case, it is sufficient to consider up to 300 yen, but it is necessary to consider up to 600 yen in the win popularity ranking. For example, in the present embodiment, similarly to the case of the win type, the scale range of the relative odds area corresponding to the main odds area is set to be wide, and 600 yen obtained from the win popularity rank is adopted.

Therefore, the relative odds scale of the odds pillar of the win type is a main odds area of 1 to 6 times (equivalent to 100 yen to 600 yen) and a main odds area of 6 times to 9999 times. A sub odds area is set as one section.

FIG. 11 is a diagram showing a specific example of the odds column of the win type. The odds pillar of the winning formula shown in the figure is a main odds area 110 which is a 75% area obtained by equally dividing 1 to 6 times, and a remaining 25% area which is 6 to 999.
A slave odds area 111 corresponding to one section up to 9 times;
Horse number area 1 where the horse number corresponding to this odds pillar is inserted
12, the main odds area 110 and the sub odds area 111 are provided with relative odds scales indicating the corresponding actual odds.

[Setting of odds column of frame number streak ceremony] In the above-mentioned win or win ceremony, the horse itself may be evaluated.
Although the main odds area could be determined by setting a range of 75% based on the order of popularity corresponding to each horse number, it is not always appropriate to use such a method in the case of the frame number streak type. I can't say. In other words, in the case of the frame number streak,
Since a plurality of horses are included in one slot, the payout amount is based on popular horses with low winning odds.
There is no particular problem when popular horses are included in the same frame number, but when an unpopular horse with the same frame is included and this unpopular horse is in first or second place , But the odds are low despite its low popularity,
It is not appropriate to adopt the range of odds calculated from the popularity ranking.

FIG. 12 is a diagram showing the frequency of payout amounts according to the number of consecutive wins in the frame number winning streak. FIG. 13 is a diagram showing a specific value of the frequency by payout amount and the cumulative ratio of the frequency in the frame number streak formula. FIG.
As shown in the figure, the reimbursement amount at which the cumulative ratio becomes about 75% is 2100 yen. Since a slight error is considered to be acceptable, the relative odds scale of the main odds area is set at substantially equal intervals from 1 to 25 times so as to facilitate display and the like. In addition, the sub odds area is collectively set to one section in the above-mentioned win type and streak type. However, in the case of the frame number streak type, the degree of odds dispersion is intense. Up to 9999 times, FIG.
, The relative odds scale is set in which the intervals are sequentially narrowed according to the appearance frequency distribution of the refund amount.

FIG. 14 is a diagram showing a specific example of the odds column of the frame number winning streak. The odds pillar of the frame number streak ceremony shown in the figure is
A main odds area 120, which is a 75% area obtained by dividing the area from 1 to 25 times at substantially equal intervals, and a slave odds area in which the remaining 25% area, 25 to 9999 times, is set so that the interval is gradually reduced. 121, a frame number area 122 into which a frame number corresponding to the odds column is inserted, and a horse number area 123 into which a horse number included in the frame number is inserted, and a main odds area 120 and a sub odds area. Reference numeral 121 denotes a relative odds scale indicating the corresponding actual odds. In addition, as shown in FIG. 14, the odds column may be given a vote rate as needed, as is common to the odds columns of each winning voting method. Also, the horse number area 123
May be omitted.

[Setting of odds column for horse number streak ceremony] In the case of horse number streak ceremony, 7 based on the order of popularity corresponding to each horse number
Although the main odds area can be determined by setting a range of 5%, a 75% range based on the payout amount is set in accordance with the odds pillar of the frame number streak type which is considered to have a basically similar odds structure. It is preferable to set the main odds region.

FIG. 15 is a diagram showing the frequency of payout amounts in the horse-number streak formula. FIG. 16 is a diagram illustrating the specific value of the frequency by payout amount and the cumulative ratio of the frequency in the horse number consecutive winning formula. FIG.
As shown in the figure, the reimbursement amount at which the cumulative ratio becomes about 75% is 4200 yen. For example, the relative odds scale of the main odds area is set at substantially equal intervals from 1 to 40 times so as to facilitate display and the like. Also, the slave odds area is
From 40 times to 9999 times, the relative odds scales whose intervals are sequentially narrowed are set in accordance with the appearance frequency distribution of the payout amount in FIG.

FIG. 17 is a view showing a specific example of the odds column of the horse number streak style. The odds pillar of the horse number streak ceremony shown in the figure is
A main odds area 130, which is a 75% area obtained by dividing the area from 1 to 40 times at substantially equal intervals, and a slave odds area in which the remaining 25% area, 40 times to 9999 times, is set so that the interval is gradually reduced. The main odds area 130 and the sub odds area 131 are provided with relative odds scales indicating the corresponding actual odds. In addition,
In the odds column shown in FIG. 17, the vote percentage is given on the side opposite to the side on which the relative odds scale is given.

The odds data input section 14 is for obtaining the corresponding race data and odds data for the race to be analyzed. The race data includes the number of horses running in the corresponding race, the configuration of frame numbers (how many running horses correspond to each frame number), and the like. Similarly to the above-described performance data input unit 10, a host device for counting odds data is connected to the odds data processing device 1 of the present embodiment via a communication line, and a race for a desired race is performed via the communication line. A method of obtaining data and odds data, a method of receiving and obtaining distribution data by data teletext, or a method of directly inputting posted race data and odds data itself by operating a keyboard or the like by a user And so on. For example, in a horse race or the like, odds data and the like are updated and posted at predetermined intervals before running, and the odds data input unit 14 captures the odds data and the like.

The odds sheet setting processing section 16 prepares the odds pillars set by the odds pillar setting processing section 12 for the number of runners or the number of frames according to each winning voting method, thereby obtaining each of the odds pillars obtained by the odds data input section 14. An odds sheet is set as an odds development area for developing odds data for each horse number or each frame number. The odds sheet is set for each winning voting method.

FIG. 18 is a diagram showing a specific example of a winning odds sheet. The winning odds sheet shown in the figure is
The odds pillars of the winning ceremony shown in FIG. 6 are arranged by the number of running horses. Each odds column included in this odds sheet has 1) status, 2)
Each data of winning odds, 3) horse number, 4) vote rate, 5) ranking, and 6) cell size is held in association with each other. The “status” indicates the status of the running horse such as cancellation of the running horse and whether or not this running horse is added to the analysis target. The "vote rate" is a vote rate for the corresponding running horse, and can be obtained by calculation from the winning odds in addition to the case where it is obtained by the odds data input unit 14.
“Ranking” is the ranking of the running horses at that time, and is set in the order of the lowest winning odds or the highest percentage of votes. "Cell size" specifies the height of the odds column. In each of these attribute data, 3) horse number and 6) cell size are set before the odds related to the race to be analyzed are announced, but other attribute data etc. Are appropriately changed according to the conditions.

FIG. 19 is a diagram showing a specific example of a winning odds sheet. The odds sheet of the winning formula shown in the figure is
FIG. 11 shows odd-numbered odds pillars shown in FIG. 11 arranged by the number of running horses. Each odds pillar included in this odds sheet has, as its attributes, 1) status, 2) lower odds and upper odds of win, 3) horse number, 4) lower vote rate and upper vote rate, 5) rank, 6) Each data of the cell size is held in association with each other.

FIG. 20 is a diagram showing a specific example of the odds sheet of the frame number winning streak. The odds sheet of the frame number streak type shown in FIG. 14 is obtained by arranging the odds columns of the frame number streak type shown in FIG. 14 by the number of frames. Each odds column included in this odds sheet has, as its attributes, 1) status, 2) frame number, 3) horse number, 4) cluster, 5) cumulative vote rate, 6) ranking, 7) average value,
Data of 8) variance or standard deviation, 9) cell size, 10) cluster distance, and 11) odds correlation distance are stored in association with each other. The “cluster” is for identifying each group when the odds data included in each odds column is divided into groups. "Cluster distance" is a distance between odds that determines whether or not adjacent odds are included in the same group. A plurality of odds located at positions closer than a preset cluster distance belong to the same cluster. Is determined by the cluster determination unit 20. The “odds correlation distance” is used to determine which odds distributed on the odds sheet are to be grouped when the voting pattern determination unit 22 determines a voting pattern (buy eye pattern). A specific method of using the above-described cluster distance and odds correlation distance will be described later. The voting pattern type and the voting pattern priority are held as data corresponding to the odds sheet.

FIG. 21 is a view showing a specific example of the odds sheet of the horse number streak type. The odds sheet of the horse number streak shown in FIG. 17 is obtained by arranging the odds pillars of the horse number streak shown in FIG. 17 by the number of running horses. Each odds column included in this odds sheet has the same attributes as 1) status, 2) horse number, 3) cluster, and 4) cumulative Vote rate, 5) ranking,
6) Mean, 7) Variance or standard deviation, 8) Cell size, 9)
Each data of the cluster distance and the 10) odds correlation distance is held in association with each other. The voting pattern type and the voting pattern priority are held as data corresponding to the odds sheet.

The odds development processing section 18 develops the odds data for each winning voting method obtained by the odds data input section 14 on the odds sheet set by the odds sheet setting processing section 16. For example, each odds data of the winning ceremony is constituted by the horse number and the value of the odds corresponding to the horse number, and the odds developing section 18 uses the horse number and the relative odds scale in the winning odds sheet shown in FIG. A cell is set at the specified position as a predetermined identification index corresponding to the odds data. Here, the "cell" is for associating odds data with a corresponding position on the odds sheet, and is used for visually recognizing a voter or the like when outputting an odds sheet as an analysis result. Is used to define a predetermined mark. Details of the cell will be described later.

Further, each odds data of the winning formula is composed of a horse number and respective values of an odds upper limit and an odds lower limit corresponding to the horse number.
A predetermined cell corresponding to the odds data is set at a position (range) specified by the horse number and the relative odds scale in the winning odds sheet shown in FIG.

Each odds data of the frame number streak formula includes its own frame number, a frame number to be paired with the frame number, and an odds value corresponding to this combination.
Reference numeral 8 sets a predetermined cell corresponding to the odds data at a position specified by the frame number and the relative odds scale in the frame number winning streak type odds sheet shown in FIG. Similarly, each odds data of the horse number streak formula includes its own horse number, a horse number to be paired with the horse number, and an odds value corresponding to this combination.
8 sets a predetermined cell corresponding to the odds data at a position specified by the horse number and the relative odds scale in the horse number streak type odds sheet shown in FIG.

FIG. 22 is a diagram showing a specific example of cells set when developing odds data on an odds sheet. As shown in the figure, a cell 140 having a predetermined size is set at a predetermined position of an odds column corresponding to odds data. Just as each odds column in the odds sheet has an attribute, each cell set corresponding to the odds data also has an attribute: 1) status, 2) horse number (this cell is the odds data If it corresponds to
(Frame number and horse number), 3) cluster attribute, 4) odds, 5) winning stride group number, 6) related frame numbers 1 to n, 7) related horse numbers 1 to m,
8) Voting pattern number, 9) Voting pattern priority, 10) Division flag, 11) Color, and 12) Shape attribute data are set.

The "winning stride type number" indicates a paired frame number or horse number when this cell corresponds to the odds of the frame number winning streak or horse number winning streak. "Related frame number" indicates the frame number to which other related cells included in the same group as this cell belong when grouping is performed on the odds of the frame number streak formula based on the odds correlation distance. Yes, a maximum of (number of frames-1) related frame numbers are set. "Related Horse Number" indicates the horse number to which other related cells included in the same group as this cell belong when grouping the odds of the horse number streak formula based on the odds correlation distance. , A maximum of (number of running horses-1) related horse numbers are set. The “voting pattern number” is a number for specifying a plurality of types of voting patterns registered in advance, and a number corresponding to the voting pattern to which this cell belongs is set. The “voting pattern priority” is the priority of the voting pattern set corresponding to this cell, and the priority determined among the voting patterns prepared in advance is set. "Split flag"
Indicates whether or not to split a cell having a normal size when odds having substantially the same value exist on the same odds column and the cell display positions overlap. When the division flag is set, small cells are used for display and printing. "Color" and "shape" indicate the color or shape when the corresponding cell is displayed or output on the odds sheet.

The cluster determination unit 20 classifies odds for each horse number or frame number by examining the odds data developed on the odds sheet for each horse number or frame number.

Normally, in a frame number streak or a horse number streak, even if one horse number or a frame number, a horse number paired with the same,
There are multiple odds depending on the frame number. If the plurality of odds have values close to each other, it can be considered that these odds reflect the character or the like of the running horse. However, when a plurality of odds of each horse number or each frame number have a separated value, it can be considered that these odds are influenced by the popularity of the running horse paired with this running horse and the like. . In this way, by grouping odds data for each horse number or each frame number, it is possible to know the popularity of each running horse and each frame number itself.

The cluster determining unit 20 sets a cluster correlation distance (to be described later), and checks whether or not odds adjacent to each horse number or each frame number are included in the cluster correlation distance, thereby determining an adjacent number. A process is performed to determine whether each odds to be assigned belongs to a group.

FIG. 23 is a diagram for explaining a cluster. The partial odds sheet shown in the figure shows a state in which the processing by the odds development processing unit 18 has been completed, and the odds corresponding to the horse number “5” have been developed on the odds sheet. Indicates a cell corresponding to the odds of horse number "5". When determining the cluster, instead of using the relative odds scale attached to the odds column, FIG.
The normalized odds scale shown in FIG. The normalized odds scale is obtained by dividing the entire odds column at “100” and dividing the odds column at equal intervals. The cluster determination unit 20 compares a predetermined cluster distance set using the normalized odds scale with the interval between adjacent cells, and when the interval between adjacent cells is smaller than or equal to the cluster distance, those two. It is determined that two cells are included in the same cluster.

For example, a case where the cluster distance is set to “10” and the cluster with the horse number “5” shown in FIG. 23 is examined will be described. As shown in FIG. 23, in order of the odds,
When the cells 150 to 156 are arranged, the distances a, b, c, d, e, and f between the adjacent cells are calculated in order from the bottom using the normalized odds scale, and the respective distances a and the like are the cluster distances. It is determined whether it is shorter than “10”. FIG.
In the example shown in FIG. 3, the distances a to d are the cluster distance “10”.
And the distances e and f are equal to or greater than the cluster distance “10”. Therefore, cells 150 to 154 adjacent to each other with a cluster distance less than “10” are determined as belonging to the same cluster.

The voting pattern determining section 22 determines the buying pattern (voting pattern) according to a predetermined priority by examining the odds data developed on the odds sheet for each combination of horse numbers or frame numbers. As this voting pattern, a predetermined number of patterns are registered in advance together with their priorities, and a match is selected by applying the patterns in descending order of priority. The frame or horse is classified as favorite, counter, attention, ambush, hole, unmarked, etc. (The classification method will be described later.) The voting pattern is determined by examining which voting pattern matches the combined pattern. Is determined.

The voting pattern includes a “favorite”, which is a favorite horse mainly combined with other influential horses, a “floor” where a favorite horse is selected and several points are flown from this horse, and a plurality of heads which are considered to arrive at a higher rank are selected. Voting for all the combinations of horses. If the voting pattern at that time is known, it is possible to know the nature of the race itself, so that the voter himself can easily determine whether or not the race is of the nature he is going to vote.

Specifically, first, the voting pattern determination unit 22
Sets the odds correlation distance in the same manner as the above-described cluster determination, and examines the horse number or the frame number associated with each odds data having a close value as the odds correlation for each odds sheet corresponding to the frame number streak or the horse number streak. Thus, a process of determining the voting pattern at that time is performed.

FIG. 24 is a diagram for explaining odds correlation. The partial odds sheet shown in FIG. 7 shows a state in which odds data of the horse number streak formula is expanded on the odds sheet by the odds expansion processing unit 18. When examining the odds correlation, a normalized odds scale is used instead of using a relative odds scale, as in the above-described cluster determination.

For example, a case where the odds correlation distance is set to “5” and the partial odds sheet shown in FIG. 24 is examined will be described. Horse number 3 is the favorite horse (◎), horse number 7 is the counter horse (○), horse number 5 is the caution horse (▲), and the odds are approaching. As shown in FIG. 24, the odds of the horse winning streak were 5.5 times for 3-7, 7.1 times for 3-5, and 5-7.
When the distances g and h on the normalized odds scale of 5.5 times and 7.1 times and 7.1 times and 9 times adjacent to each other are calculated when the distance is 9 times, g = 1. 6, h =
It is about 1.8. Therefore, the odds 5.5 and 7.1
Is equal to or less than the above-described odds correlation distance “5”, and the cells 160, 161, 162, and 163 corresponding to these odds are determined to belong to the same group, and the odds correlation is determined. You. Similarly, the distance h on the normalized odds scale between the odds 7.1 and 9 is also equal to or less than the odds correlation distance “5”, and the cells 162, 163, 164, and 165 corresponding to these odds belong to the same group. The odds correlation is determined. In this way, the above-described six cells 160 to 165 are determined as belonging to the same group.

Next, the voting-pattern determining unit 22 applies the voting pattern to the groups determined to be in the same group in the order of lower odds in accordance with a preset priority, and The voting pattern is determined based on the arrangement of the cells constituting the voting pattern.

FIG. 25 is a diagram showing a specific example of a voting pattern. In the figure, ◎ indicates the favorite horse, ○ indicates the opposing horse,
▲ indicates a caution horse, X indicates an ambush horse, and △ indicates a hole horse. As mentioned above, the voting pattern is "favorite",
It is roughly divided into "box" and "sink". Among these, the "favorite" can be further subdivided into a favorite-competition shown in FIG. 25 (a), a favorite-3rd shown in FIG.
The favorite-4 shown in (c), the favorite shown in FIG.
5th, favorite side shown in FIG. 25 (e), FIG. 25 (f)
And a favorite hole retainer shown in FIG. 25 (g). In addition, the "box" can be further subdivided into
There are three tomes shown in FIG. 25 (h), four tomes shown in FIG. 25 (i), and five tomes shown in FIG. 25 (j). Further, “sinks” can be further classified into a favorite sink shown in FIG. 25 (k) and a sink sink shown in FIG. 25 (m).

The various voting patterns shown in FIG. 25 indicate the popularity that is the center of the combination, and do not indicate the absolute popularity combination. For example, the favorite-competition shown in FIG.
And the rank 2 are combined, and the difference between the ranks is 1. In addition, favorite-3rd shown in FIG. 25 (b) is a combination of rank 1, rank 2 and rank 3, and the difference between those ranks is 1 and 2. Other combinations will also maintain the difference in ranking. When the center rank is changed, a combination that maintains the rank difference may be considered. Also, the actual voting patterns may not completely match the various voting patterns shown in FIG. 25, but in this case, the closest voting pattern may be applied.

FIG. 26 is a diagram for explaining priorities of predetermined voting patterns. As shown in FIG. 26, priorities are set for each voting pattern in a predetermined order. As shown in FIG. 25, there are many types of voting patterns. For example, three tomes, favorite holding, favorite side, favorite-counter, favorite third, favorite fourth, and favorite-
Priority is set in the order of 5th, favorite hole presser, favorite sink, sinkhole, four tom, five tom. As shown in FIG.
Each voting pattern is associated with a registration number, and the priority corresponding to each registration number is stored in the voting pattern registration priority storage unit 24.

The voting-pattern determining unit 22 applies voting patterns having higher priorities to the groups determined based on the odds correlation distances shown in FIG. 24 in ascending order of odds, and determines whether there is a corresponding voting pattern. Find out what. If there is a matching voting pattern,
The registration number corresponding to this voting pattern and its priority shown in FIG. 26 are set to “voting pattern number” and “voting pattern priority” as attributes of the corresponding cell.
Such processing is performed for all the groups determined based on the odds correlation distance.

The odds pattern judging section 26 judges an odds pattern indicating the tendency of the whole race on the basis of the determined combination of voting patterns. For example, the odds pattern indicating the tendency of the entire race is roughly divided into a favorite group and a three-piece group, and the favorite group is further classified into (a) a favorite, (b) a favorite / counter, and (c) a favorite / counter / attention. The three-way group is further classified into (d) three-way, (e) favorite-three-way, and (f) favorite-counter-three-way. By knowing which of the odds patterns (a) to (f) the race to be voted corresponds to, the voter can clearly know the characteristics of the race, so that the voter can easily make a voting plan. Become.

The analysis result output unit 28 outputs the odds sheet set by the odds sheet setting processing unit 16, and also corresponds to the odds data to a predetermined position on the odds sheet developed by the odds development processing unit 18. Let it. In addition, the analysis result output unit 28 displays each determination result by the cluster determination unit 20 or the voting pattern determination unit 22 on the odds sheet in an identifiable manner. Examples of the output method of the analysis result output unit 28 include a case where an odds sheet and an analysis result are displayed on a screen, a case where the odds sheet and the analysis result are printed on a predetermined sheet by a printer, and the like. The output contents may include a case where all the cells, clusters, and voting patterns are included in the odds sheet for each winning voting method, or a case where some of these are selectively included. A specific example of the output example will be described later.

The horse number and the frame number described above are used as the starting numbers, the odds column setting processing section 12 and the odds sheet setting processing section 16 are used as the odds development area setting means, the odds data input section 14 is used as the odds data input means, and the odds development is performed. The processing unit 18 corresponds to the odds expansion processing unit, the cluster determination unit 20 corresponds to the odds group determination unit, the voting pattern determination unit 22 corresponds to the voting pattern determination unit, and the odds pattern determination unit 26 corresponds to the odds pattern determination unit.

The odds data processing apparatus 1 of the present embodiment has such a configuration, and an example of the operation will be described below.

FIG. 27 is a flowchart showing an operation procedure for analyzing odds data for each winning voting method using the odds data processing apparatus 1 of the present embodiment. Before analyzing each victory voting method based on the actual odds data, the voting patterns and their priorities are stored in the voting pattern registration priority storage unit 24, and the odds column setting processing unit 12 and the odds sheet setting are performed. It is assumed that the processing section 16 sets odds columns and odds sheets for each winning voting method.

First, the odds data input section 14 obtains the odds data of the race to be analyzed for each winning voting method (step a1). As described above, the obtaining method may be, for example, obtaining the information via a communication line or obtaining the information manually by a user.

FIG. 28 is a diagram showing a specific example of each odds data of the winning type and the winning type actually obtained. Also,
FIG. 29 is a diagram showing a specific example of odds data of the frame number streak formula. FIG. 30 is a diagram illustrating a specific example of odds data of the horse number streak formula.

Next, the odds developing section 18 calculates a vote rate for each horse number or each frame number based on the obtained odds data (step a2). The calculation of the vote percentage is performed for each winning voting method. Note that the odds of the frame number streak and horse number streak correspond to a combination of two frame numbers or horse numbers, and it is inconvenient to expand the odds data for each frame number or each horse number. The unit 18 creates odds data which is duplicated for each frame number or each horse number from the obtained original data of the frame number streak and the horse number streak, and calculates the above-mentioned vote rate using the duplicated odds data. .

FIG. 31 is a diagram showing the winning percentage of the winning prize. FIG. 32 is a diagram showing the odds data of the frame number winning streak. For example, “1-2” and “2”
Since "-1" is the same, odds data having the same value is redundantly included in portions corresponding to these. FIG.
FIG. 3 is a diagram showing a vote rate calculated based on each odds data of the frame number streak formula shown in FIG. 32. Since the same data is duplicated, the total vote rate is about 200%.
However, when the vote percentage is calculated based on the odds data, the value does not become exactly 200% due to a truncation error or the like, but becomes a value less than 200%. FIGS. 34 and 35 are diagrams showing the odds data of the horse winning streak formula. Also,
FIG. 36 and FIG. 37 are diagrams showing the vote percentage calculated based on each odds data of the horse number streak formula shown in FIG. 34 and FIG. As in the case of the frame number streak ceremony, the total voting rate is about 200%.
It becomes less than 00%.

Next, the odds developing section 18 develops the odds of the frame number streak formula into the frame number streak type odds sheet shown in FIG. 20 (step a3). Since the horse numbers and the like corresponding to each frame number vary depending on the number of horses running in each race, it is actually necessary to adjust the horse numbers corresponding to each frame number included in the odds sheet shown in FIG. FIG.
7 is a diagram showing a specific example of an odds sheet on which odds data of the frame number streak formula shown in FIG. In the race corresponding to the odds data shown in FIG.
Assuming that there is a running horse, two horse numbers correspond to each frame number. Therefore, as shown in FIG. 38, after slightly changing the correspondence between each frame number and the horse number from the odds sheet shown in FIG. 20, cells based on each odds data are arranged on this odds sheet. However, in the odds data of the frame number winning streak, only the odds corresponding to the combination of the frame numbers exist, and the horse number corresponding to each frame number does not matter. May be deleted from the horse number column.

The odds sheet shown in FIG. 38 includes:
In addition to the relative odds scale, the vote percentage and the normalized odds scale are attached. The following cluster determination and voting pattern determination use odds normalized using this normalized odds scale (odds data normalized using this normalized odds scale is referred to as “normalized odds data”). Done.

Next, the cluster determination section 20 divides the odds corresponding to each cell developed on the odds sheet into clusters using the normalized odds scale (step a4).
FIG. 39 is a diagram showing a group of odds divided into clusters. For example, a result is shown in which the cluster distance is set to “10” and the cluster determination of each odds is performed in the odds column corresponding to each frame number.

In this cluster judgment, the cluster judgment unit 20 calculates the average and standard deviation of a plurality of odds belonging to the main cluster, and the average and standard deviation of the vote rate (step a5). These calculation results serve as criteria for determining which cluster has priority in the determination of the voting pattern later.

Next, the voting pattern determination unit 22 calculates the total vote rate for each frame number, obtains the frame rank of each frame according to the total vote rate of the odds pillar of each frame number, Are sequentially associated with a mark such as "favorite" (step a6). In order from the top, “Favorite”, “Counter”, “Caution”, “Ambush”,
"Hole" is unmarked. On the lower side of the odds sheet in FIG. 39, the total of the vote percentages calculated for each frame, their ranks, and marks set based on the ranks are shown. FIG.
In the example shown in the above, the frame of frame number 4 is “favorite”, the frame of frame number 6 is “counter”, the frame of frame number 1 is “caution”, the frame of frame number 5 is “absent”, and the frame number 7 is The frame is a “hole” and the other frames are unmarked.

Next, the voting pattern determination unit 22 associates the odds developed on the odds sheet in order from the first frame odds column (step a7). FIG.
FIG. 7 is a diagram showing association of odds on an odds sheet. For example, the result of setting the odds correlation distance to “5” and associating the odds from the one where the normalized odds scale is closer to 0 is shown. First, "4-6",
“4-1” and “4-5” are associated with each other.

The voting pattern determination unit 22 determines a voting pattern for each group of the associated odds (step a8). This voting pattern is determined by examining, in descending order of priority, whether or not there is a match among the registered voting patterns shown in FIG. 26 based on frame numbers constituting each odds group. Will be For example, "4-6", "1-4", "4-
The group of 5 is composed of 4 frames of “favorite”, 6 frames of “counter”, 1 frame of “caution”, and 5 frames of “absentiment”. Figure 2
It is determined that the voting pattern is “favorite-4th” shown in FIG. 5 (c). The voting pattern is similarly determined for other odds groups. FIG. 41 is a diagram showing the result of determining the voting pattern for the main odds groups in this manner. In addition, corresponding to each of the determined voting patterns, attribute data of 1) the total vote rate of the odds included in the voting pattern, 2) the lowest odds in the voting pattern, and 3) the highest odds in the voting pattern. Is set.

In this manner, the development of the odds sheet based on the odds data of the frame number streak formula, clustering for each frame number, and determination of the voting pattern by associating the odds are performed. FIG. 42 is a diagram showing an output result displayed on a screen or printed on paper by the analysis result output unit 28. Each of the voting patterns determined in step a8 described above is emphasized, so that the type of voting performed by the entire fan can be understood at a glance.

Next, a process is performed based on odds data of the horse number streak formula. The odds development processing unit 18 develops the odds of the horse number streak formula into the horse number streak odds sheet shown in FIG. 21 (step a9). Since the number of running horses varies depending on the race, it is actually necessary to adjust the number of running horses included in the odds sheet shown in FIG. FIG. 43 is a diagram illustrating a specific example of the odds sheet in which the odds data of the horse number streak formula illustrated in FIGS. 34 and 35 is developed. FIG.
In the race corresponding to the odds data shown in FIGS. 4 and 35, for example, assuming that there are 16 running horses shown in FIG. 28, 16 odds columns corresponding to horse numbers "1" to "16" are provided. The odds sheet having the following is required.
Therefore, as shown in FIG. 43, after an odds sheet slightly modified from the odds sheet shown in FIG. 21 is created, each odds data is plotted on this odds sheet.

Further, the odds sheet shown in FIG.
In addition to the relative odds scale, the vote percentage and the normalized odds scale are attached. The following cluster determination and voting pattern determination are performed using odds data normalized using the normalized odds scale.

Next, the cluster judging unit 20 divides each odds developed on the odds sheet into clusters using a normalized odds scale (step a10). FIG. 44 is a diagram showing a group of odds divided into clusters. For example, the result of setting the cluster distance to “9” and performing the cluster determination of each odds in the odds column corresponding to each horse number is shown.

In this cluster judgment, the cluster judgment unit 20 calculates the average and standard deviation of the odds of the main cluster and the average and standard deviation of the vote rate (step a1).
1). These calculation results serve as criteria for determining which cluster has priority in the determination of the voting pattern later.

Next, the voting pattern determination unit 22 calculates the total vote rate for each horse number, obtains the rank of each horse according to the total vote rate of the odds column of each horse number, And marks such as “favorite” in order (step a12). As in the case of the frame number streak ceremony, “Favorite”,
"Counter", "Caution", "Ambush", "Hole", and no mark. On the lower side of the odds sheet in FIG. 44, the total of the vote percentage calculated for each horse, the rank thereof, and marks set based on the rank are shown. In the example shown in FIG. 44, the horse with the horse number 7 is “favorite”, the horse with the horse number 12 is “counter”, the horse with the horse number 1 is “attention”, the horse with the horse number 11 is “abbed soldier”, and the horse number Nine horses are "holes" and the other horses are unmarked.

Next, the voting pattern determination unit 22 associates the odds developed on the odds sheet in order from the odds column with the horse number having the first rank (step a13).
FIG. 45 is a diagram showing the association of odds on the odds sheet. For example, a result is shown in which the odds correlation distance is set to “10” and the odds are associated from the side where the normalized odds scale is closer to 0. First, "7-
12 "," 7-1 "," 7-11, "" 7-9, "" 7
-10 "and" 7-2 "are associated with each other.

The voting pattern determination unit 22 determines a voting pattern for each group of the associated odds (step a14). This voting pattern is determined based on the horse numbers that make up each odds group.
This is performed by checking whether there is a match among the registered voting patterns shown in FIG. 26 in descending order of priority. For example, "7-12", "7-1", "7
For the group of “-11”, “7-9”, “7-10”, and “7-2”, the horse number 7 which is “favorite”
A group is formed by combining the horse number 12 of "Competition", the horse number 1 of "Caution", the horse number 4 of "Abbot", the horse number 9 of "Hole", and the horse number 10 and the horse number 2 of unmarked.
It is determined that the voting pattern is “favorite flow” shown in (k). The voting pattern is similarly determined for other odds groups. FIG. 46 is a diagram showing a result of determining the voting pattern for the main odds groups in this manner. In addition, corresponding to each of the determined voting patterns, attribute data of 1) the total vote rate of the odds included in the voting pattern, 2) the lowest odds in the voting pattern, and 3) the highest odds in the voting pattern. Is set.

In this manner, the development of the odds sheet based on the odds data of the horse winning streak formula, clustering for each horse number, and determination of the voting pattern by associating the odds are performed. FIG. 47 is a diagram showing an output result displayed on a screen by the analysis result output unit 28 or printed on paper. Each of the voting patterns determined in step a14 described above is emphasized, so that it is possible to see at a glance how the entire fan has voted.

After the determination of the horse number streak voting pattern is completed, the odds pattern determination unit 26 determines the odds pattern based on the distribution state of the frame number streak type voting pattern or each of the horse number streak voting patterns. (Step a
15).

FIGS. 48, 50, 52, 54, 5
6 and FIG. 58 are diagrams showing specific examples of odds pattern classification, and are mainly classified into favorite groups shown in FIGS. 48, 50 and 52, and three-way groups shown in FIGS. 54, 56 and 58. You. The favorite groups of the odds pattern include three typical ones: “favorite” shown in FIG. 48, “favorite / counter” shown in FIG. 50, and “favorite / counter / attention” shown in FIG. In addition, the three groups of the odds pattern include three representative groups, namely, “Threesomes” shown in FIG. 54, “Favorite threesomes” shown in FIG. 56, and “Favorite threesome” shown in FIG.

The setting of the range of the voting pattern when determining the odds pattern uses 4200 yen, which is a 75% reference to the horse number streak formula, in both the horse number streak type and the frame number streak type. The 75% criterion of the frame number streak ceremony is 2100 yen, but when the odds pattern is classified based on the 2100 yen criterion for the frame number streak, the number of voting patterns appearing within 2100 yen decreases, and the odds pattern Therefore, it is preferable to adopt the 75% criterion of the horse number streak formula also for the frame number streak type because it may be difficult to perform the classification. However, regarding the frame number streak formula, the odds pattern may be classified using 2100 yen, which is the 75% reference of the player.

The odds pattern judging section 26 sorts the odds pattern in descending order of the vote rate. If the total vote rate is the same, the voting pattern with the lowest lowest odds of the voting pattern is given priority. These determinations are made based on attribute data set for each voting pattern. For example, a description will be given using the determination result of the voting pattern of the horse number winning streak shown in FIG. (K) favorite flow;
(G) favorite hole holder; (K) deformation countercurrent;
(G) favorite hole holder; (G) Deformation caution, ranking is performed.

Next, the odds pattern judging section 26 performs a screening process to remove the voting patterns centered on the same popularity as the voting patterns in the higher rank. In the example described above, since the first place is “(k) favorite flow”, the favorite voting pattern is excluded. In particular,
Both “2. (g) favorite hole hold” and “4. (g) favorite hole hold” are removed because they are voting patterns centered on the favorite, and the order of the new voting pattern is 1. (K)
1 (K) Deformation countercurrent; (G) Deformation caution, ... Similarly, duplicate voting patterns of the same type are excluded.

The order of the plurality of voting patterns to be adopted is determined by whether or not the highest odds of the voting pattern are within 4200 yen of the above-mentioned 75% standard. That is, voting patterns in which the highest odds fall within 4200 yen, which is the criterion for determining the odds pattern, are employed in order from the one with the highest vote rate of the voting patterns.
The voting pattern of “1. (k) favorite flow” described above is adopted because the highest odds is 20 times or less, and “2 (k)
The maximum odds of the deformation counter flow are over 50 times,
It is not adopted because it is more than 4200 yen. In this way, a large number of voting patterns are narrowed down to “1. (k) favorite flow”. Therefore, “favorite” shown in FIG. 48 is determined as the odds pattern.

Once the odds pattern has been determined, the characteristics of the race of interest can be determined based on past data. FIG. 49, FIG.
1, FIG. 53, FIG. 55, FIG. 57, and FIG. 59 show the appearance probabilities of the frame number streak formula and the horse number streak formula corresponding to each odds pattern. Specifically, FIG.
The probability of appearance for the frame number streak and horse number streak corresponding to the odds pattern "favorite" of the favorite group shown in FIG. 51 corresponds to the odds pattern "favorite / counter" of the favorite group shown in FIG. 50 in FIG. FIG. 53 shows the odds pattern of the favorite group “Favorite / Counter / Attention” shown in FIG. 52 for the frame number streak and horse number streak.
The appearance probabilities of the frame number streak ceremony and the horse number streak ceremony corresponding to. FIG. 55 shows FIG.
Odds pattern "Three-way" of three-way group shown in 4
FIG. 57 shows the appearance probabilities for the frame number streak formula and the horse number streak formula corresponding to the odds pattern “favorite / three toe” of the three-part group shown in FIG. 56. The probability is shown in FIG.
The appearance probabilities for the frame number streak ceremony and the horse number streak ceremony corresponding to the odds pattern “favorite / competition / three-pronged” of the three-pronged group shown in FIG. 8 are shown.

The above-mentioned appearance probabilities corresponding to the odds patterns represent the combination numbers of the first or second place in the past races by the popular combinations at that time. The number at the intersection of the row and column represents the statistical probability of its popularity. Although the number contains 0, it does not mean that there is no possibility of appearance, but that it does not appear in this combination, and there is a good possibility of coming out. Also, the item names "1, 2" are
This is the probability of entering the second place when viewed by popularity. The winning voting ticket of the winning streak is a combination of the frame number or the horse number of the first place and the second place regardless of the order, so the probability of the first place or the second place is important. This is referred to as the determination of the axis in the selection of the winning betting ticket, or the determination of the linked axis. How to determine the axis horse that is the center of selection of a winning betting ticket determines 90% of hits of winning betting tickets. Once you have decided on the central axis to enter the second place or less, you will be hit if you buy a winning voting ticket for all other horses and frames (if you pass a betting ticket). The selection of the axis in the examination of a winning betting ticket is so important.

For example, according to FIG. 49 (b), in the odds pattern “favorite”, the horse number streak ceremony ◎ (favorite) 1, 2
Since the probability of entering the clothes is 66.7%, the axis is ◎ (favorite)
It can be seen that the winning betting ticket should be selected around this axis. The opponent of the winning voting ticket is 2 (opposed)
3.8%, ▲ (warning) 14.3%, No mark 23.8%
Thus, the total probability of winning these three winning betting tickets is 61.
9%. If it is desired to further increase the probability of a winning betting ticket, another winning betting ticket with a higher probability may be added. Of course, it is not necessary to buy a winning betting ticket according to the probability, but it is only necessary to buy a winning betting ticket according to an individual hobby. If you want to hit the betting ticket, which is a voter's dream, you can buy a winning voting ticket with a high dividend between "No Mark", but the probability is low, 9.5%, and it rarely appears . Even if you buy a winning horse voting ticket with that in mind and win or lose, you will be satisfied. This is the personal pleasure of buying a dream. In addition, if it is desired to hit a winning voting ticket with a high payout, it is only necessary to wait for a race in which the odds pattern of the three-way group shown in FIGS. 54, 56 and 58 appears. It can be seen that the probability of the first and second place of ◎ (favorite) of the three-part group is low, and the probability tends to be scattered after ○ (counter) and the race tends to be rough.

FIG. 60 is a diagram showing an example of the output of the judgment result of the odds pattern displayed on the screen or printed on the paper by the analysis result output unit 28. The odds pattern and the frame number streak or horse number streak are shown together with the odds pattern. The case where the appearance probability of is output is shown. The odds pattern X shown in FIG. 60 corresponds to the odds pattern X shown in FIGS.
6, the odds pattern shown in FIG. 58,
Each odds pattern shown in these figures is represented in a simplified manner. For example, when displaying the odds pattern “Favorite / Competitive / Attention” of the favorite group shown in FIG. 52 as the odds pattern X shown in FIG. 60, the lower part is associated with each of the three rectangular frames shown in FIG. The simplified contents are shown in the order of “◎ favorite voting pattern”, “○ counter voting pattern”, and “▲ attention voting pattern”. Since the odds pattern X shown in FIG. 60 only needs to be able to recognize which odds pattern when viewing the display, it is preferable that the display format and the like be appropriately simplified to make it easier to see.

In addition to the odds pattern X described above, when the odds pattern X corresponds to the frame number streak formula, the appearance probability of the frame number streak expression corresponds to the odds pattern X, and the odds pattern X corresponds to the horse number streak expression. In this case, the appearance probabilities of the horse number streak formula are output as incidental.

With the output results of the odds pattern and the appearance probability output in this manner, the characteristics and contents of the race of interest can be expressed at a glance, and the determination of the axis and the selection of the winning betting ticket can be easily performed. Become.

Next, a process based on odds data of the win and win is performed. The odds development processing unit 18 develops the winning odds into the winning odds sheet shown in FIG. 18 (step a16), and displays the odds of the winning in FIG.
To the odds sheet shown in FIG. 9 (step a
17). As described above for the odds sheet of the horse winning streak, since the number of running horses varies depending on the race, it is necessary to actually adjust the number of running horses included in the odds seats shown in FIGS. 18 and 19. . FIG.
FIG. 29 is a diagram showing a specific example of an odds sheet in which odds data of a win type and a win type shown in FIG. 28 are developed. FIG.
The odds sheet shown in FIG. 1 is obtained by combining a winning odds sheet and a winning odds sheet into one. The winning odds sheet shown in FIG. 18 and the odds shown in FIG. The odds sheet of the formula may be separately prepared, and the odds data of the winning formula and the odds data of the bidding formula may be developed respectively.

In this way, the development of the odds data on the odds sheet for each winning voting method and the determination of the voting pattern based on the clustering and the association of the odds for the frame number streak and horse number streak are performed. In the above-described example, the processing is performed in the order of the frame number streak type, the horse number streak type, the win type, and the win type, but since the respective processes are not related to each other, the order may be changed or performed in parallel. It may be.

As described above, according to the odds data processing apparatus 1 of the present embodiment, the cells corresponding to each odds are developed on the odds sheet based on the odds data, and clustering and voting pattern determination are performed as necessary. The user (vote) can easily grasp the structure of the entire race simply by looking at the odds sheet.

Note that the present invention is not limited to the above embodiment, and various modifications can be made within the scope of the present invention. For example, in the above-described embodiment, the main odds area set based on the popularity ranking is used when setting the odds pillars of the win type and the win type. However, for these, the frame number streak type and the horse number streak type are also used. Similarly to the above, the main odds area set based on the cumulative ratio of the payout amount may be used.

Further, in the above-described embodiment, the odds data processing device 1 performs processing from setting of odds pillars and odds sheets and acquisition of odds data to development of odds on the odds sheet, clustering, and voting pattern determination. However, each of these various processes may be manually performed by each user. For example, various types of odds sheets shown in FIGS. 18 to 21 are prepared, and cells are written in corresponding portions of these odds sheets based on odds data obtained for each voting method. In these odds sheets, the area surrounded by the frame is the odds data entry area, and the user can enter the odds data entry area specified by the horse number (or frame number) corresponding to each odds data and the value of the odds. An operation of writing a cell of a predetermined shape at a predetermined position is performed. Also, in the case of the frame number streak ceremony and the horse number streak ceremony, using the normalized odds scale evenly distributed along each odds pillar constituting the odds sheet, the odds included in each odds pillar are divided into groups. A certain cluster determination and a voting pattern determination based on adjacent odds data are performed.

Further, in the above-described embodiment, the horse race has been described as an example of a race to be analyzed. However, for a bicycle device, a boat race, an auto race, and a game device or a game board simulating these or similar to these, each of the respective devices is described. The present invention can be similarly applied to analyzing the structure of a race.

In the above-described embodiment, the cluster determination and the voting pattern determination based on the odds correlation are performed after the cells are arranged on the odds sheet. However, the cells are not arranged on the odds sheet. Cluster determination or voting pattern determination may be performed directly. In this case, the actual odds data obtained by the odds data input unit 14 is converted into normalized odds data along the normalized odds scale, and data having a similar value of the normalized odds data is extracted to perform cluster determination or the like. Voting pattern determination may be performed.

[0118]

As described above, according to the present invention, an odds sheet or odds development area in which odds columns having predetermined scales corresponding to odds values are arranged in correspondence with each of the starting numbers is used. A predetermined identification index is arranged at a predetermined position corresponding to each race number based on the odds data of the race of interest. Therefore, just by looking at this odds sheet or odds development area, you can see how the odds corresponding to each race number are distributed,
The structure of the race of interest can be easily grasped.

The odds column described above includes a main odds area corresponding to odds with a high appearance frequency and a sub odds area corresponding to odds with a low appearance frequency. By increasing the size, it is possible to emphasize and represent a part desired by the voter in the structure of the race of interest.

When the voting method is a streak ceremony, a plurality of odds correspond to one race number, unlike the case of a win ceremony. However, the odds values of the plurality of odds are adjacent to each other. Is included in the same group when is included in the predetermined range, and grouping is performed, it becomes easy to grasp the degree of popularity for each race number, and it is easy to understand the structure of the race Become.

If the voting method is a winning streak, data having odd values adjacent to each other is extracted from each odds data.
By determining the voting pattern based on the combination of the starting numbers corresponding to the plurality of odds data, it is possible to know the approximate nature of the race.

[Brief description of the drawings]

FIG. 1 is a diagram illustrating an overall configuration of an odds data processing device according to an embodiment.

FIG. 2 is a diagram showing a frequency of payout amount by winning type.

FIG. 3 is a diagram showing a specific value of a winning-type payout amount-based frequency and a cumulative ratio of the frequency.

FIG. 4 is a diagram showing the order of popularity and the cumulative frequency indicating the number of horses ranked first in win popularity.

FIG. 5 is a scatter diagram of payout amount according to win popularity.

FIG. 6 is a diagram showing a specific example of a winning odds pillar.

FIG. 7 is a diagram showing the frequency of payout amounts according to a winning type.

FIG. 8 is a diagram showing a specific value of the frequency for each payout amount and the cumulative ratio of the frequency in the winning type.

FIG. 9 is a diagram showing the frequency of popularity order and the cumulative frequency indicating the number of horses in third or second place in win-winning popularity.

FIG. 10 is a scatter diagram of payout amounts according to the popularity of wins.

FIG. 11 is a diagram showing a specific example of odds columns of a winning type.

FIG. 12 is a diagram showing the frequency of payout amounts in the frame number winning streak.

FIG. 13 is a diagram showing a specific value of the frequency by payout amount and the cumulative ratio of the frequency in the frame number streak formula.

FIG. 14 is a diagram showing a specific example of odds columns of the frame number streak type.

FIG. 15 is a diagram illustrating the frequency of payout amounts in the horse number winning streak formula.

FIG. 16 is a diagram showing a specific value of the frequency by payout amount and the cumulative ratio of the frequency in the horse-number consecutive winning formula.

FIG. 17 is a view showing a specific example of odds pillars of the horse number streak type.

FIG. 18 is a view showing a specific example of a winning odds sheet.

FIG. 19 is a diagram showing a specific example of a winning odds sheet.

FIG. 20 is a diagram showing a specific example of odds sheets of the frame number streak type.

FIG. 21 is a view showing a specific example of an odds sheet of a horse number streak style.

FIG. 22 is a diagram showing a specific example of cells set when developing odds data on an odds sheet.

FIG. 23 is a diagram illustrating a cluster.

FIG. 24 is a diagram for explaining odds correlation.

FIG. 25 is a diagram showing a specific example of a voting pattern.

FIG. 26 is a diagram for explaining priorities of predetermined voting patterns.

FIG. 27 is a flowchart showing an operation procedure for analyzing odds data for each winning voting method using the odds data processing device of the present embodiment.

FIG. 28 is a diagram showing a specific example of odds data of a win type and a win type actually obtained.

FIG. 29 is a diagram showing a specific example of odds data of the frame number streak formula.

FIG. 30 is a diagram showing a specific example of odds data of a horse number streak formula.

FIG. 31 is a diagram showing a winning percentage in a winning system.

FIG. 32 is a diagram showing overlapping odds data of the frame number streak formula.

FIG. 33 is a diagram showing a vote rate calculated based on each odds data of the frame number streak formula shown in FIG. 32.

FIG. 34 is a view showing duplicate odds data of the horse number streak formula.

FIG. 35 is a view showing duplicate odds data of the horse number streak formula.

FIG. 36 is a view showing a vote rate calculated based on each odds data of the horse number streak formula shown in FIG. 34.

FIG. 37 is a diagram showing a vote ratio calculated based on each odds data of the horse number streak formula shown in FIG. 35.

38 is a diagram showing a specific example of an odds sheet in which odds data of the frame number streak type shown in FIG. 32 is developed.

FIG. 39 is a diagram showing each odds group divided into clusters.

FIG. 40 is a diagram showing association of odds on an odds sheet.

FIG. 41 is a diagram illustrating a result of determining a voting pattern for main odds groups.

FIG. 42 is a diagram showing an output result displayed on a screen or printed on paper by an analysis result output unit.

FIG. 43 is a view showing a specific example of an odds sheet in which odds data of the horse number streak type shown in FIGS. 34 and 35 is developed.

FIG. 44 is a diagram showing each odds group divided into clusters.

FIG. 45 is a diagram showing association of odds on an odds sheet.

FIG. 46 is a diagram illustrating a result of determining a voting pattern for an odds group.

FIG. 47 is a diagram showing an output result displayed on a screen or printed on paper by an analysis result output unit.

FIG. 48 is a diagram showing a specific example of odds pattern classification.

FIG. 49 is a diagram showing appearance probabilities of the frame number streak formula and the horse number streak formula corresponding to the odds pattern shown in FIG. 48.

FIG. 50 is a diagram showing a specific example of odds pattern classification.

FIG. 51 is a diagram showing appearance probabilities of a frame number streak formula and a horse number streak formula corresponding to the odds pattern shown in FIG. 50.

FIG. 52 is a diagram showing a specific example of odds pattern classification.

FIG. 53 is a diagram showing the appearance probabilities of the frame number streak formula and the horse number streak formula corresponding to the odds pattern shown in FIG. 52.

FIG. 54 is a diagram showing a specific example of odds pattern classification.

FIG. 55 is a diagram showing appearance probabilities of the frame number streak formula and the horse number streak formula corresponding to the odds pattern shown in FIG. 54.

FIG. 56 is a diagram showing a specific example of odds pattern classification.

FIG. 57 is a diagram showing appearance probabilities for the frame number streak formula and the horse number streak formula corresponding to the odds pattern shown in FIG. 56.

FIG. 58 is a diagram showing a specific example of odds pattern classification.

FIG. 59 is a diagram showing appearance probabilities for the frame number streak formula and the horse number streak formula corresponding to the odds pattern shown in FIG. 58;

FIG. 60 is a diagram showing an output result displayed on a screen or printed on paper by an analysis result output unit.

FIG. 61 is a diagram showing a specific example of an odds sheet in which odds data of a win type and a win type shown in FIG. 28 are developed.

FIG. 62 is a diagram showing a conventional flow until odds are posted.

FIG. 63 is a diagram showing an example of posting odds for a win and a win.

FIG. 64 is a diagram illustrating an example of posting odds in a frame number streak style.

FIG. 65 is a diagram illustrating an example of posting odds in the horse-number streak style.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Odds data processing device 10 Actual data input unit 12 Odds column setting processing unit 14 Odds data input unit 16 Odds sheet setting processing unit 18 Odds expansion processing unit 20 Cluster judgment unit 22 Voting pattern judgment unit 24 Voting pattern registration priority order storage unit 26 Odds pattern judgment unit 28 Analysis result output unit

Claims (31)

[Claims] An odds pillar having a predetermined scale corresponding to a value of an odds is arranged in correspondence with each of the race numbers, and predetermined at a predetermined position corresponding to each race number based on odds data of a race of interest. Odds sheet, wherein the identification indices are arranged. 2. The odds column according to claim 1, wherein the odds column includes a main odds region corresponding to odds with a high appearance frequency and a sub odds region corresponding to odds with a low appearance frequency. An odds sheet characterized by setting a relative ratio of an odds region large. 3. The method according to claim 1, wherein the odds pillar having the scale different for each voting method is set, and a predetermined identification index based on the odds data is arranged for each voting method. Odds sheet. 4. The method according to claim 1, wherein the odds data corresponds to a winning voting method.
The odds sheet, wherein the predetermined identification index is arranged on each of the odds columns of a plurality of race numbers corresponding to the odds data. 5. The method according to claim 1, wherein the odds data corresponds to a winning voting method.
For a plurality of odds corresponding to each run number, when odds values are included in a predetermined range, adjacent ones are determined as belonging to the same group,
An odds sheet wherein each group is displayed so as to be distinguishable from each other. 6. The method according to claim 1, wherein the odds data corresponds to a winning voting method.
An odds sheet wherein voting patterns determined based on a combination of a plurality of race numbers corresponding to the odds data having adjacent odds values are displayed so as to be distinguishable from each other. 7. When the odds data of the race of interest corresponds to a winning voting method, based on the odds data,
An odds sheet characterized by visually displaying an odds pattern indicating a tendency of the entire voting. 8. When the odds data of the race of interest corresponds to a winning voting method, a voting pattern is determined based on a combination of a plurality of race numbers corresponding to the odds data. An odds sheet characterized by visually displaying an odds pattern obtained based on the odds pattern. 9. Odds pillars having a predetermined scale corresponding to the value of the odds are arranged corresponding to each of the race numbers, and are set at predetermined positions corresponding to the race numbers based on the odds data of the race of interest. An odds sheet having an odds data entry area in which an identification index is entered. 10. The odds pillar according to claim 9, wherein the odds column includes a main odds area corresponding to odds with a high appearance frequency and a sub odds area corresponding to odds with a low appearance frequency. An odds sheet characterized by setting a relative ratio of an odds region large. 11. The odds sheet according to claim 9, wherein the odds pillar and the odds data entry area are formed for each voting method. 12. An odds development area setting means for setting an odds development area in which odds columns having a predetermined scale corresponding to a value of an odds correspond to each of the starting numbers of a race of interest, and inputting odds data of the race of interest. Odds data input means, and odds developing processing for arranging a predetermined identification index at a predetermined position of the odds developed area set by the odds developed area setting means based on odds data inputted by the odds data input means. Means, and an odds data processing device comprising: 13. The odds expansion area setting means according to claim 12, wherein the odds expansion area setting means includes an odds column including a main odds area corresponding to odds with a high frequency of appearance and a sub odds area corresponding to odds with a low frequency of appearance. Forming
An odds data processing device, wherein a relative ratio of the main odds area is set to be large. 14. The odds development area setting means according to claim 13, wherein the appearance frequency is approximately 75%.
The odds data processing device, wherein the main odds area is set so as to correspond to odds. 15. The odds development device according to claim 12, wherein the odds development area setting means arranges a predetermined identification index based on the odds data for each voting method of the race of interest. Data processing device. 16. The odds development area setting means according to claim 12, wherein, when the odds data corresponds to a streak-type voting method, each of the plurality of race numbers corresponding to the odds data. An odds data processing device, wherein the predetermined identification index is arranged on the odds column. 17. The method according to claim 12, wherein the odds data corresponds to a winning voting method.
For a plurality of odds corresponding to each run number, when odds values are adjacent to each other and included in a predetermined range, these odds are classified as belonging to the same group. An odds data processing device further comprising means. 18. The odds group according to claim 17, wherein the odds column is assigned a uniform normalized scale along the odds column separately from a relative scale corresponding to an actual odds value. The determining means, when the difference between adjacent odds is equal to or less than a predetermined value indicated by the normalized scale,
An odds data processing device for determining that these odds belong to the same group. 19. The method according to any one of claims 12 to 16, wherein the odds data corresponds to a winning voting method.
An odds data processing device further comprising: a voting pattern determination unit that determines a voting pattern based on a combination of a plurality of race numbers corresponding to the odds data having adjacent odds values. 20. The voting pattern according to claim 19, wherein the odds column is assigned a uniform normalized scale along the odds column separately from a relative scale corresponding to an actual odds value. When the difference between adjacent odds is equal to or less than a predetermined value indicated by the normalized scale, the judging means judges the voting pattern based on a combination of the starting numbers of the odds data corresponding to these odds. Odds data processing device. 21. The odds according to claim 19, further comprising: odds pattern determining means for determining an odds pattern indicating a tendency of the entire voting based on said voting pattern determined by said voting pattern determining means. Data processing device. 22. An odds development area in which odds columns having a predetermined scale corresponding to the value of the odds are made to correspond to each of the starting numbers of the race of interest, and the odds development area is set based on the odds data of the race of interest. An odds data analysis method, wherein a predetermined identification index is arranged at a predetermined position of the odds data. 23. The main odds region according to claim 22, wherein the odds column includes a main odds region corresponding to odds with a high appearance frequency and a sub odds region corresponding to odds with a low appearance frequency. A method for analyzing odds data, wherein the relative ratio of the odds data is set large. 24. The odds data analysis method according to claim 23, wherein the main odds area corresponds to odds whose appearance frequency is approximately 75%. 25. The method according to claim 22, wherein the odds pillar having the scale different for each voting method is set, and a predetermined identification index based on the odds data is arranged for each voting method. Odds data analysis method. 26. The method according to claim 22, wherein the odds data corresponds to a winning streak voting method.
An odds data analysis method, wherein the predetermined identification index is arranged on each odds column of a plurality of race numbers corresponding to the odds data. 27. The method according to claim 22, wherein the odds data corresponds to a winning voting method.
Odds data for a plurality of odds corresponding to each race number, wherein odds values are grouped as belonging to the same group when adjacent ones are included in a predetermined range. Analysis method. 28. The odds column according to claim 27, wherein the odds column is assigned a uniform normalized scale along the odds column separately from a relative scale corresponding to an actual odds value. The odds data analysis method characterized by determining that these odds belong to the same group when the difference between the odds is equal to or less than a predetermined value indicated by the normalized scale. 29. The method according to claim 22, wherein the odds data corresponds to a winning voting method.
A method for analyzing odds data, comprising: determining a voting pattern based on a combination of a plurality of race numbers corresponding to the odds data having adjacent odds values. 30. The odds column according to claim 29, wherein the odds column is assigned a uniform normalized scale along the odds column separately from a relative scale corresponding to an actual odds value. A voting pattern is determined based on a combination of run numbers of odds data corresponding to these odds values, when a difference between the odds data is equal to or less than a predetermined value indicated by the normalized scale. 31. The odds data analysis method according to claim 29, wherein an odds pattern indicating a tendency of the entire voting is determined based on the determined voting pattern.