JP2014092800A - Computer program and betting-forecast information provision system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a computer program and a betting-forecast information provision system, which enable provision of user-desired betting-forecast information in a ballot system promoting ballot-casting of a combination of result candidates of plural games.SOLUTION: In order to provide information related to a betting-forecast in using a service for casting the betting-forecast produced by combining winner candidates of individual races, with each combination covering two or more given races as targets, and the combinations covering all races, a betting-forecast information provision system 100 includes: winner candidate setup means 21 for setting one or more winner candidates for each race; the-number-of-betting-forecast calculation means 22 for calculating the number of betting-forecasts that can be produced by combining winner candidates; the-number-of-betting-forecast narrow-down means 23 for narrowing down the number of betting-forecasts by using a given condition; and the-number-of-betting-forecasts output means 24 for outputting the narrowed-down number-of-betting-forecasts.

Description

  The present invention relates to a computer program and a purchase information providing system for providing purchase information that is a combination of a plurality of game result candidates in a public game or a sports promotion lottery.

  For example, regarding each race of a public competition, various influential factors need to be taken into account in order to increase the probability of buying a target that predicts in advance the winners and top order of arrival. However, since there is a limit for an individual user to grasp this influencing factor, it is difficult not only to improve the hit probability, but also to make it difficult to acquire a new user. Therefore, systems described in Patent Documents 1 and 2 have been proposed as systems that support the user's decision on purchases.

JP-A-2005-149150 JP 2004-199479 A

  The systems described in these Patent Documents 1 and 2 provide information that supports the decision of a purchase for each race. Therefore, the user can use the system when voting after deciding on a purchase for a single race. On the other hand, in recent years, in public competitions, a system has been provided in which a plurality of predetermined races are targeted, and a user predicts a combination of winners of each of these races and votes for this combination (for example, central Japan). "WIN5" provided by the horse racing association). When this voting system is used, the user needs to predict a combination of winners for a plurality of races. However, the systems of Patent Documents 1 and 2 that only support the purchase of a single race are useful for this prediction. Absent. Moreover, compared to the purchase of a single race, the purchase of a combination of winners of multiple races has a vast variation, and in particular, what type of purchase is a set of purchases that satisfy a user's desired condition. It is extremely difficult for me to grasp.

  For example, if you choose 5 horses that will win in each race and vote in a single win, you need to vote a minimum of 5 for each race. Because there is no, there are only 25 votes in total. On the other hand, in WIN5, votes are given for combinations of winning horse candidates in all five races. Therefore, the required number of votes is the number of winning horse candidates (five) raised to the power of the number of races (five races), for a total of 3,125. Thus, in the above example, it can be seen that there are 125 times as many variations in WIN5 as in the case of voting with a single win.

  Therefore, the present invention provides a computer program and a purchase information providing system that can provide the user with purchase information desired by a user in a voting system for voting a combination of a plurality of game result candidates. For the purpose.

  A computer program according to the present invention is a computer program that provides information on a purchase target when using a system that targets two or more predetermined matches and votes for purchases that combine candidate results for all matches. A result candidate setting means for setting one or more result candidates for each game, a buy number calculating means for calculating the number of buyable eyes that can be configured by combining the result candidates, and the buy eye The number of buying eyes is narrowed down according to a predetermined condition, and the number of buying eyes is output as the number of buying eyes that has been narrowed down.

  Thereby, in the voting system which makes a voting target the combination of the result candidate of a some game, the purchase information which a user desires can be provided to this user. For example, the user or computer sets the result candidates for each match, calculates the total number of purchases combining the result candidates, narrows down the number of purchases according to, for example, the conditions desired by the user, and narrows down the number of purchases Can be output. Such a computer program can be installed in a server device, and the number of purchases can be viewed on a user-owned terminal that can communicate with the server device. If it does in that way, the user can narrow down the thing which satisfies a desired condition out of a huge purchase variation, and it becomes possible to vote for a desired purchase efficiently. The above “game” is not particularly limited as long as winning or losing is determined, and includes, for example, “match” of soccer, “race” in horse racing, bicycle race, boat race, or auto racing. It is good as well.

  Further, the purchase eye number narrowing means may perform narrowing down on the condition of the range of the expected payout amount and narrowing down on the condition of the upper limit value of the number of purchases. Accordingly, the number of purchases can be efficiently narrowed down based on a payout amount (that is, a refund amount) or a purchase amount (that is, a purchase amount) that is generally highly important to the user.

  A purchase information providing system according to the present invention includes a program storage unit that stores any one of the computer programs described above and a computer that executes the program stored in the program storage unit.

  ADVANTAGE OF THE INVENTION According to this invention, in the voting system which makes a voting object the combination of the result candidate of a some game, the computer program which can provide the purchase information which a user desires, and the purchase information provision system can be provided. .

It is a block diagram which shows the typical structural example of the purchase information provision system. It is a flowchart which shows the operation | movement which concerns on provision of the purchase information by a purchase information provision system. 6 is a diagram illustrating a part of a screen image displayed on a display of a user terminal when the system provides purchase information. It is a chart for demonstrating ranking. It is a graph which shows the relationship between the estimated dividend amount classified into the some zone, and the parameter which specifies the purchase which belongs to each estimated dividend amount.

  Hereinafter, a computer program and a purchase information providing system according to an embodiment of the present invention will be described with reference to the drawings. In this embodiment, a horse race will be described as an example of a “game”. However, the present invention is not limited to horse racing, and the present invention is not limited to horse racing. Can be applied. Further, the present invention can be applied to the case where the purchase information is provided in a sports promotion lottery called “soccer lottery”. Furthermore, the present invention can also be applied to the case where a buy-out is created by predicting a game result including a score as well as winning or losing a game as in this sports promotion lottery.

  First, an example of a voting system to which the purchase information providing system according to the present invention can be suitably applied will be described. This voting system targets a plurality of predetermined races (for example, five). The goal is to select the horse (result candidate, winner candidate, winning horse candidate) that will be the first in each of these five races and to hit the actual winning horses in all five races. . Therefore, for the user, a combination of winning horse candidates over all five races is a voting target.

  For example, if there are 18 horses in each race, the total number of combinations (types of betting tickets) will be 180 million or more (18 to the 5th power). In addition, the total number of combinations when 5 are selected for each race is 3,125 (5 to the 5th power). The buying eye information providing system according to the present embodiment narrows such a huge number of combinations into combinations (buying eyes) that match each user's preference, and provides them to the user.

  An example of the voting system actually provided at the time of the present application is “WIN5” provided by the Japan Central Horse Racing Association already mentioned. The computer program and the purchase information providing system according to the present invention can be suitably used when a user determines a purchase when purchasing (voting) a betting ticket with “WIN5”.

(System configuration)
FIG. 1 is a block diagram illustrating a schematic configuration example of a purchase information providing system. As shown in FIG. 1, the purchase information providing system 100 includes at least a purchase information providing server 10, a database server 30, and a communication terminal (user terminal) 50 owned by a user.

  Of these, the purchase information providing server 10 is configured as a Web server, for example, and includes a processor 11, a storage unit 12, a communication interface 13, and the like. Further, as described in detail later, the purchase information providing server 10 transmits the purchase information to the user terminal 50 while appropriately using the information stored in the database server 30. The database server 30 includes a processor 31, a large-capacity storage unit 32, a communication interface 33, and the like, and stores various data that can be considered when predicting the winning horse of each race. As the user terminal 50, for example, a communication terminal having a predetermined browsing function such as a personal computer, a tablet computer, or a mobile phone can be adopted. The user terminal 50 includes a communication interface 53 for communicating with at least the processor 51, the storage unit 52, and the purchase information providing server 10 via a communication line NW such as the Internet, and a display such as a liquid crystal panel for displaying information. (Display unit) 54 and an operation input unit 55 such as a touch pad for receiving a user's input operation.

  In addition, the storage unit 12 of the purchase information providing server 10 stores a computer program 20 according to the present invention, and the program 20 includes a processor 11 including a winner candidate setting means (result candidate setting means) 21, a purchase A program that functions as the eye number calculating means 22, the buying eye number narrowing means 23, and the buying eye number output means 24 is included. In summary, the winner candidate setting means 21 causes the processor 11 to function as means for setting one or more winner candidates (winning horse candidates) for each race. The purchase number calculation means 22 causes the processor 11 to function as means for calculating the number of purchases that can be configured by combining the set winner candidates. The purchase number reduction means 23 causes the processor 11 to function as means for narrowing down the number of purchases according to a predetermined condition. Then, the purchase number output means 24 causes the processor 11 to function as means for outputting the narrowed purchase number.

  Note that the number-of-purchase narrowing means 23 according to the present embodiment is capable of executing at least narrowing down on the condition of the expected dividend amount range and narrowing down on the condition of the upper limit value of the number of purchases. . Also, the information regarding the number of purchases output by the purchase number output means 24 can be received by the user terminal 50 via the communication line NW and displayed on the display 54 thereof.

(Buying information provision procedure)
FIG. 2 is a flowchart showing an operation related to provision of purchase information by the purchase information providing system 100. As shown in FIG. 2, the system 100 sets one or more winning horse candidates (winner candidates) for each race for a plurality of races designated in advance when providing the purchase information (step S1). Next, the number of buyable eyes that can be configured by combining the winning horse candidates set in step S1 is calculated (step S2), and the number of purchased eyes is further narrowed down based on a predetermined condition (step S3). Then, the narrowed-down number of purchases is output to the user terminal 50, for example (step S4).

  Hereinafter, the operation of the system 100 when providing such purchase information will be described in more detail. FIG. 3 is a diagram illustrating a part of a screen image displayed on the display 54 of the user terminal 50 when the system 100 provides the purchase information.

  In the purchase information providing system 100, the user operates the user terminal 50 to log in to the purchase information providing server 30 (see “screen image 1” in FIG. 3), and the top menu (see “screen image 2” in FIG. 3). ) To access the use page of the purchase information providing service to start providing the service to the user. On the display 54 of the logged-in user terminal 50, a plurality of selectable tabs are displayed based on the data received from the purchase information providing server 10. As shown in “screen image 3” in FIG. 3, the “buy eye” tab includes icons such as “edit”, “erase”, and “easy NAVI” that can be selected by the user. Displayed.

  Of these, the “edit” function is a function that allows the user to determine in detail the purchases he / she likes using the narrow-down conditions provided by the purchase information provision system 100 without limitation. The “erase” function is a function that allows the user to selectively erase the already-decided purchase information before voting. The “easy NAVI” function is a function for determining a purchase using only predetermined narrowing conditions. Using this function, even a beginner can easily decide on a purchase with relatively few procedures.

  Here, a case where the “easy NAVI” function is selected will be described. When this function is selected, the purchase information providing system 100 executes a process for setting a winning horse candidate in step S1 described above. Specifically, based on data from the purchase information providing server 10, an image as shown in “screen image 4” in FIG. 3 is displayed on the display 54 of the user terminal 50. In this image, as a method for narrowing down the purchases of all patterns to a certain extent and creating a base of purchases, a method for setting winning horse candidates for each race can be selected. For example, the purchase information providing server 10 automatically determines a winning horse candidate for all the races by the “one-touch entrusting” function, and the user himself / herself determines the winning horse candidate for all the races. In addition, the “One-Touch Entrust” function includes a “Popular Horse Set” function and a “Recommended Set” function.

  Here, the “popular horse set” function is to automatically set the race horses that meet the specified conditions in order from the most popular race horses (horses with low odds of odds) as winning horses. It is. For this reason, the storage unit 32 of the database server 30 stores information necessary for acquiring the winning odds of the race horse of each race, and the buying information providing server 10 has a “popular horse set” function. Refer to this information as appropriate when executing.

  The operation procedure of this “popular horse set” function will be specifically described. First, select the most popular racehorse from each of the five target races and set it as the winning horse. Furthermore, from all the remaining race horses of all five races, the most popular race horses are selected in order from the most popular race horses without distinction of races, set as winning horses, and the process ends when a predetermined condition is satisfied. The conditions are as follows: (1) When the number of purchases exceeds a predetermined number (for example, 7,000), (2) For any race, a predetermined number (for example, six) or more of the running horses are winning horses. When selected, (3) When a predetermined number (for example, 10) or more running horses are selected as winning horses in any one race, etc., any of (1) to (3) can be adopted. When one condition is satisfied, the winning horse setting process is terminated.

  The “recommended set” function means that if there is a system that predicts the winning popularity for each race, for example, different from the buying information providing system 100, the winning horse candidate is automatically selected based on the information provided by the system. Is set to

  The “select by yourself” function is a function that allows the user himself to set an arbitrary number of running horses as winning horses for all five target races.

  As mentioned above, if you use the “One-touch Random” functions such as “Popular Horse Set” and “Recommended Set”, the winning horse information providing server 10 will automatically set winning horse candidates for all five races, If the “choose by yourself” function is used, the winning horse can be freely set for each race based on the user's own preference (prediction). Even if you use the “One-touch Auto-Random” function, you can add other starting horses for each race to the automatically set winning horse candidates or select the set winning horse candidates from the candidates. The user can make fine adjustments such as removal. Even when the “choose by yourself” function is used, the winning horse selected by the buying information providing server 10 by the same procedure as the above “popular horse set” function or “recommended set” function for each race. Candidates can be displayed on the display 54 of the user terminal 50. Therefore, the user can refer to the winning horse candidate selected by the buying eye information providing server 10 when setting the winning horse candidate himself.

  When the winning horse candidate setting process (step S1) is performed in this manner, the buying eye information providing server 10 calculates the number of buying eyes (number of mothers of the buying eye) that can be configured by combining the set winning horse candidates. This is displayed on the display 54 of the user terminal 50 (see “screen image 5” in FIG. 3). At this time, in addition to the number of bases of the purchase, information indicating the winning horse candidates set for each race (for example, the bib number of each winning horse candidate) is also displayed on the display 54. In addition, the user can correct the setting content (selection content) of the winning horse candidate as appropriate while referring to the number of bases of the purchase displayed here.

  Next, the purchase information providing system 100 narrows down the number of purchase bases calculated in step S2 (step S3). In the “easy NAVI” function, a “payout zone selection” process and a “purchase number setting” process can be used as a narrowing process.

  Among these, the “zone selection” process is a process for narrowing down purchases on the condition of the range of the expected payout amount. For example, as shown in “screen image 6” in FIG. 3, a zone selection table showing the distribution of the number of purchases corresponding to the expected payout amount is displayed on the display 54 of the user terminal 50. Then, the user refers to this zone selection table and designates the range of the expected payout amount. As a result, the number of purchase bases calculated in step S2 is narrowed down to only those included in the range of the specified expected payout amount. For this narrowing-down process, the buying information providing server 10 calculates the winning odds of the winning horse candidate set in step S1 while referring to the data stored in the database server 30, and from this, Calculate the expected dividend amount. The above zone selection table is created using the expected dividend amount calculated in this way.

  Further, the “purchasing number setting” process is a process of narrowing down the number of purchases on condition of the upper limit value of the number of purchases desired by the user. For example, as shown in “screen image 7” in FIG. 3, an input form for inputting the upper limit value of the number of purchases desired by the user is displayed on the display 54 of the user terminal 50. This input form also includes an icon that can specify under what conditions the number of purchases input by the user is selected. In other words, it is possible to specify from where in the set of purchases (matrix) narrowed down by the “zone selection” process, the user selects the purchase for which the upper limit value is specified in the “set purchase number” process. . Specifically, (1) priority is given to purchases with low expected dividends, (2) priority to purchases with high expected dividends, (3) priority to purchases with many popular horses, (4) selection at random, Any one of the conditions can be specified. Therefore, the number of purchases can be narrowed within this upper limit value by inputting the upper limit value of the number of purchases numerically and specifying any of the conditions (1) to (4).

  When the “easy NAVI” function is used, the user's desired purchase can be extracted from the enormous number of purchases relatively easily as described above, and the information can be provided to the user (step). S4). Note that the information provided to the user in step S4 may include the range of payout amounts when any of the purchases is successful, in addition to the final number of purchases. The contents may also be displayed (see “screen image 8” in FIG. 3). In addition, an icon for confirming purchase eyes narrowed down as described above may be provided, and by operating this icon, a site where purchases can be purchased can be accessed via the Internet.

(Other refinement conditions)
By the way, if the “edit” function shown in “screen image 3” in FIG. 3 is used, the user can narrow down the purchase according to various conditions (including fine adjustment such as addition). Examples of conditions such as such narrowing will be outlined below.

[1 Condition name: Number of wins per rank]
This function specifies the number of races that the ranked racehorse will win among the five races. FIG. 4 is a chart for explaining ranking. The buying eye information providing server 10 arranges the winning horse candidates set for each race in descending order of popularity and ranks them according to the table shown in FIG. For example, if there are three winning horse candidates for a race, the most popular racehorse among them is ranked A rank, 2 popularity is B rank, and 3 popularity is C rank. In addition, if there are two or less winning horse candidates in a race, all will be ranked in the * rank. Also, if there are 7 winning horse candidates in a race, 2 of the most popular 1-2 are A rank, 3 of 3-5 popular are B rank, 6-7 popular 2 Each head is ranked in C rank.

In this condition 1, the user can specify the rank and the number of races. For example, “A rank: 2 to 5 races” can be designated. In this case, the winning horse candidates classified into the A rank can be narrowed down to only purchases that win in two or more races. For example, "A rank: 2-5 races, B rank: 0-3 races, C rank: 0-2 races"
Can also be specified. In this case, it is possible to narrow down to buying items including only the combinations shown below.
-Horse A won 5 races-Horse A won 4 races and Horse B won 1 race-Horse A won 4 races and Horse C won 1 race-Horse A won 3 races and Horse B won 2 races- Horse A wins 3 races and Horse B wins 1 race and Horse C wins 1 race-Horse A wins 3 races and Horse C wins 2 races-Horse A wins 2 races and Horse B wins 3 races-A Horse wins 2 races and Horse B wins 2 races and Horse C wins 1 race-Horse A wins 2 races, Horse B wins 1 race and Horse C wins 2 races

  It should be noted that the winning horse candidate with the * rank shown in the ranking table of FIG. 4 can be replaced with a winning horse candidate of any rank of A, B, and C.

[2 Condition name: Expected refund amount]
This function designates a range of money desired by the user for the expected refund amount calculated by the buying eye information providing server 10 from the winning odds of each winning horse candidate. Although the user can refer to the expected value of the refund amount, by using this function, it is possible to exclude purchases that greatly deviate from the refund amount desired by the user.

[3 Condition name: Popularity (one win)]
This function specifies the number of races that a popular horse wins or an unpopular horse wins using information on the popularity of wins. For example, if it is specified that “the number of wins of the 1st to 3rd most popular winning horse candidates is 2 to 4 races”, it is possible to narrow down to only those that satisfy this condition among the current purchases. The same applies to a race in which an unpopular horse wins.

[4 Condition name: Odds (win)]
This function specifies the number of races that a popular horse wins or an unpopular horse wins by using information on winning odds. For example, if you specify that the number of winning horse candidates with odds of 1 to 7.5 times is 2 to 4 races, you can narrow down to only those that satisfy this condition among the current purchases. it can. The same applies to a race in which an unpopular horse wins.

[5 Condition name: Jockey]
This function specifies the number of winning races for the specified jockey. As a result, it is possible to narrow down by betting on the victory of the jockey that has been strong recently or excluding the buying eye that has been won by the jockey who has recently been sluggish.

[6 Condition name: Trainer]
This function is to specify the number of winning races of the management horse of the designated trainer among the trainers of the running horses of the five target races.

[7 Condition name: Winning horse designation]
In this function, a winning horse candidate is designated for each race, and the number of winning races of the designated horse is designated, whereby a part or all of the buying eye pattern is specifically designated in detail. For example, as described below, the winning horse candidate is designated by horse number for each race, and the number of races that the designated winning horse candidate wins is designated.
“Chukyo 10R: 3, 5
Fukushima 10R: 11, 12
Hakodate 11R: (Not specified)
Chukyo 11R: 15
Fukushima 11R: 7
The number of winning races for designated horses is 1-3 ”

  By the designation as described above, it is possible to narrow down to only “buy eyes in which the horse number designated above is in the range of 1 to 3” among the buy eyes at that time. In other words, a total of 6 leading horses will be designated in 4 races other than Hakodate 11R, and the prediction that this powerful horse will win will not be missed in all 4 races, but all 4 races will be in focus. It will be narrowed down only to the purchase that there is no. In addition, by applying this function, a specification method that limits the way of roughing is realized, such as specifying “other than powerful horses” and “no more than one winning horse from this specified horse”. It is also possible to do.

[8 Condition name: Popularity 3]
This function specifies three trends that are determined by the popularity of wins. Specifically, for the winning horse candidates included in the purchase at that time, the most popular winning horse in each race is extracted, and three races in which the top three run in order of popularity are selected. To do. Then, the user designates the total value in the order of popularity of the winning horses in these three races. As a result, among the purchases at that time, the purchases are narrowed down to the purchases that are not more than the total value in the order of popularity specified by the user.

For example, if the type of race, the horse number of the winning horse, and the popularity order of the winning horse is a purchase of the following combinations, the three races to be determined are the Chukyo 10R, Chukyo 11R, and Fukushima 10R marked with *. Yes, the total value in order of popularity of winning horses is “4”. In this case, if the total value in the popularity order designated by the user is 4 or more, the following purchases remain without being excluded. On the other hand, if the total value in the order of popularity specified by the user is 3, the following purchases are excluded.
Chukyo 10R: 4th (most popular) *
Fukushima 10R: 14th (2nd most popular) *
Hakodate 11R: 3rd (4th most popular)
Chukyo 11R: 4th (most popular) *
Fukushima 11R: 7th (9th most popular)

[9 Condition name: Popularity 4]
This function specifies four trends that are determined by the popularity of wins. The difference is that the number of races is increased by one compared to “Popularity 3”, but the other rules are the same as “Popularity 3”. Therefore, in the case of the purchase in the above example, the total value of the popularity order of the winning horse is “8” (= 1 + 1 + 2 + 4) by further adding the popularity order “4” of Hakodate 11R.

[10 Condition name: Popularity order]
This function specifies the trend of all races according to the popularity of wins. Although the number of races is increased by 2 compared to “Popularity 3” (all races are targeted), other rules are the same as “Popularity 3”. Therefore, in the case of the purchase of the above example, the total value of the popularity order of the winning horse is “17” (= 1 + 1 + 2 + 4 + 9) by further adding the popularity order “9” of Fukushima 11R.

[11 Condition name: Odds 3]
This function specifies three trends that are determined by winning odds. Specifically, three races are selected in the same manner as in the above “popular order 3”. Then, the user designates the total value of winning odds of the winning horse in these three races. As a result, the purchases at that time are narrowed down to the purchases that are equal to or less than the total value of the winning odds specified by the user.

For example, if the type of race, the horse number of the winning horse, and the winning odds of the winning horse are buys of the following combinations, there are three races that are firmly determined: Chukyo 10R, Chukyo 11R, and Fukushima 10R marked with *. The total value of winning odds for the winning horse is “7.9”. In this case, if the total value of the winning odds specified by the user is 7.9 or more, the following buying eyes remain without being excluded. On the other hand, if the total value of the winning odds specified by the user is less than 7.9, the following purchases are excluded.
Chukyo 10R: No. 4 (2.2 times) *
Fukushima 10R: 14th (4.2 times) *
Hakodate 11R: No. 3 (7.2 times)
Chukyo 11R: 4th (1.5 times) *
Fukushima 11R: 7th (29.2 times)

[12 Condition name: Odds 4]
This function specifies four trends that are determined by winning odds. The difference is that the number of races is increased by one compared to “Odds 3”, but the other rules are the same as “Odds 3”. Therefore, in the case of the purchase of the above example, the total value of the winning odds of the winning horse is “15.1” by further adding the popularity order “7.2” of Hakodate 11R.

[13 Condition name: Odds meter]
This function is to specify the tendency of all races by winning odds. Compared to “Odds 3”, the number of races is increased by 2 (all races are targeted), but the other rules are the same as “Odds 3”. Therefore, in the case of the purchase of the above example, the total value of the popularity order of the winning horse is “44.3” by further adding the popularity order “29.2” of Fukushima 11R.

[14 Condition name: Z index 3]
This function specifies three trends in a race that are determined by a predetermined Z index. Specifically, for the winning horse candidate included in the purchase at that time, the winning horse with the highest Z index in each race is extracted, and from these three races in which the top three run in the Z index select. Then, the user designates the total value of the Z indices of the winning horses in these three races. As a result, among the purchases at that time, only purchases that are equal to or greater than the total value of the Z index specified by the user are narrowed down. In the present embodiment, the Z index is a parameter to which a larger value is given to a horse that is evaluated as having a high possibility of winning, and any server that can be used by the purchase information providing server 10 Information managed by.

[15 Condition name: Z index 4]
This function specifies four trends in the race that are determined by a predetermined Z index. Although the number of heads is increased by one compared to the “Z index 3”, other rules are the same as those of the “Z index 3”.

[16 Condition name: Z index meter]
This function designates the tendency of all races according to a predetermined Z index. Compared to the “Z index 3”, the number of heads is increased by 2 (all races are targeted), but the other rules are the same as the “Z index 3”.

[17 Condition name: Add purchase]
This function is to add an optional purchase, and the user can add a purchase by specifying one winning horse for each race.

[18 Condition name: W3 index]
This function designates three trends that are determined firmly by using a predetermined index indicating the turbulence for each race. Specifically, from each winning odds of the winning horse candidate and the most popular horse, the turbulence degree of the race is calculated for each set winning horse candidate. Then, the lowest turbulence level for each race is set as the turbulence level of the race, and the top three races having the lowest turbulence level are selected from the five races. The user specifies the total value of the turbulence levels of these three races. As a result, of the purchases at that time, the purchases are narrowed down to the purchases that are less than or equal to the total value of the degree of disturbance specified by the user.

  Here, supplementing the “wave disturbance”, the wave disturbance is calculated by the ratio of the winning odds of the winning horse candidate included in the purchase to the winning odds of the most popular horse running in the same race as the winning horse candidate. expressed. For example, if the winning odds of a winning horse candidate set for a certain race is 10.0 times and the winning odds of the most popular horse in the race is 5.0 times, the turbulence is 2.0 (= 10 0.0 ÷ 5.0). The minimum value of the turbulence is 1.0 when the winning horse candidate is the most popular horse.

[19 Condition name: W4 index]
This function designates four tendencies of the race that are determined firmly by using a predetermined index indicating the degree of turbulence for each race. The difference is that the number of races is increased by one compared to the “W3 index”, but the other rules are the same as the “W3 index”.

[20 Condition name: W5 index]
This function is to designate a tendency for all races using a predetermined index indicating the turbulence for each race. The difference is that the number of races is increased by two compared to the “W3 index”, but the other rules are the same as the “W3 index”.

(How to set the zone)
By the way, the “zone selection” process was mentioned in the explanation of the purchase information providing procedure by the “easy NAVI” function. Here, in order to supplement this processing content, an example of a zone setting method executed by the purchase information providing server 10 will be described.

  FIG. 5 is a chart showing the relationship between the predicted payout amounts classified into a plurality of zones and the parameters for specifying the purchases belonging to each expected payout amount. This chart data is stored and managed in the database server 30. The As shown in FIG. 5, the expected dividend amount is divided into 20 items between 100,000 yen or less and 750 million yen or more, and further, 4 items in order from the item with the smallest expected dividend amount. There are five groups (zones). Each group is named “stiff”, “choi rough”, “turbulent”, “big wave”, “impossible!”, Etc., in order from the smallest expected dividend amount. (See “screen image 6” in FIG. 3).

The purchases that will belong to each section are six narrowing down: “Number of wins by rank”, “Popularity 3”, “Popularity 4”, “W3 index”, “W4 index”, and “W5 index” It is specified by the condition (see the above conditions 1, 8, 9, 18, 19, 20). For example, NO. Purchases belonging to item 5 are narrowed down to purchases that satisfy all of the following conditions.
“Number of wins per rank” condition A rank: 2 to 4 races B rank: 0 to 2 races C rank: 0 to 2 races “Popularity 3” condition Total value of the popularity order of the winning horses of the three races that are firmly determined: 3-7
"Popularity 4" condition Total value of the popularity order of the winning horses of the four races to be determined: 5-10
"W3 index" condition Total value of the turbulence of three determined races: 3.2-5.0
"W4 index" condition Total value of the turbulence of the four determined races: 4.2-8.0
"W5 index" condition Total value of turbulence in all 5 races: 7.0 to 19.0

  Further, as can be seen from the contents of the “Popularity 3” condition, the higher the expected payout amount, the less popular (higher odds) starters are included. In the table of FIG. 5, a blank cell means the same value as the cell immediately above. In addition, the display of specific numerical values is omitted for other cells excluding the cell corresponding to “Rough Choi” and the cell in the “popular order 3” condition.

  In addition, the narrowing-down example by the conditions 1-20 mentioned above is not limited to this, You may make it modify and update suitably the content. Other conditions may be added or some conditions may be deleted.

  In the above-described embodiment, the means 21 to 24 included in the computer program 20 are described as being executed by the purchase information providing server 10, but the present invention is not limited to this. For example, the user terminal 50 may execute some or all of the functions. In this case, the purchase eye information providing server 10 performs relay processing between the database server 30 and the user terminal 50, stores the program 20 for creating a purchase eye, provides it to the user terminal 50, and the created purchase. It is conceivable that the user terminal 50 is in charge of relay processing when the user purchases the eye, and the user terminal 50 is in charge of acquiring and executing the program 20 for creating the purchase eye.

  The present invention can be applied to a computer program and a system for providing purchase information desired by a user in a voting system for voting a combination of a plurality of game result candidates.

10 purchase information providing server 30 database server 50 user terminal 100 buying information providing system

Claims (4)

When using a service for voting on a buy that combines two or more predetermined matches and the candidate results of each match for all matches, a computer program that provides information on the purchase
Computer
Result candidate setting means for setting one or more result candidates for each game;
Buy number calculation means for calculating the number of buys that can be configured by combining the result candidates,
The number-of-purchase means for narrowing down the number of purchases according to predetermined conditions, and
Buy number output means for outputting the narrowed number of purchases,
As a computer program.   The computer program according to claim 1, wherein the game includes a race performed in at least one of horse racing, bicycle racing, boat racing, and auto racing.   The computer program according to claim 1, wherein the purchase number reduction means executes narrowing down with a range of an expected payout amount as a condition and narrowing down with an upper limit value of the number of purchases as a condition. A purchase information providing system comprising: a program storage unit that stores the computer program according to claim 1; and a computer that executes the program stored in the program storage unit.