KR20010044677A - Method and system for pro basketball effectiveness analysis - Google Patents

Abstract

PURPOSE: A system and a method for analyzing efficiency of basketball are provided to estimate a number of potential win and efficiency of each basketball teams and a number of win that each players contributes to the number of potential win of each teams. CONSTITUTION: A server(112) comprises a main program(114), an efficiency analysis program(116) and a game program(118) providing a basketball related game that ability of each players varies with the data of each players from the efficiency analysis program(116). A DB(Data Base)(120) comprises a game result DB(122) storing game results of present or the past season and an analysis result DB(124) storing estimation results of the efficiency analysis program(116). A customer server(130) receives the estimation results of the efficiency analysis program(116) through a web browser from the server(112) and utilizes the results. The efficiency analysis program(116) estimates degree of contribution to win of a team per each players, a number of potential win and efficiency per each teams by estimating a regression equation using variables that affects team winning average on the basis of basketball records of present of the past season. The main program(114) stores data of each basketball games, performs estimation together with the efficiency analysis program(116) and provides the estimate results to the customer server(130) and the game program(118) to update basketball game data.

Description

Method and system for pro basketball effectiveness analysis

The present invention relates to a method for analyzing professional basketball efficiency, and more particularly, to provide a method for analyzing professional basketball efficiency using a regression equation, a recording medium on which the method is recorded, and a system suitable for the method.

Professional sports are a type of industry where salary is discriminated based on performance. If the salary negotiations are unfair or have side effects, they will negatively affect the performance of the next season. Therefore, the essential condition for the annual salary system to work properly is to measure scientifically and objectively how much each player contributed to their team's victory.

However, if you look at the current reality of professional sports, rather than scientifically quantifying each player's contribution to their team, they are based on the individual record of each player and compared with the salary of the other team. In addition, there is a problem in the direction of team management because it does not provide objective information related to the manager's ability or the team's operational efficiency.

Therefore, in professional sports with annual salary system, each team's contribution to the teams is scientifically and objectively quantified, and each team is estimated by comparing potential multipliers based on various records and estimating the effectiveness of each team. There has been a need for a system that provides data for salary negotiations, coach replacements, and player trades.

An object of the present invention is to set the regression equation by setting the variables affecting the team's odds of basketball in order to meet the above requirements, to estimate the potential multiplier and efficiency of each team by estimating the set regression equation, It provides a way for each player to estimate the contribution multiplier he has to the team's potential multiplier.

Another object of the present invention is to provide a recording medium in which the method is stored.

Another object of the present invention is to provide a system suitable for the method.

1 is a conceptual diagram of a method for providing a professional basketball efficiency analysis service according to the present invention.

2 is a block diagram of a system for providing professional basketball efficiency analysis service according to the present invention.

3 is a flowchart of a program for performing an efficiency analysis of a professional basketball team according to the present invention.

4 is a flowchart illustrating a process of estimating coefficients of variables influencing team odds according to the present invention.

5 is a flowchart illustrating a process of estimating the contribution of each player's two-point shooting success rate to the team's two-point shooting success rate.

6 is a flowchart illustrating a process of estimating the potential multiplier and team efficiency based on a team.

7 is a flowchart illustrating a process of estimating the team victory contribution of each player.

8 is a flowchart illustrating a process of determining the contributions, the potential multipliers, and the efficiencies of each player based on the team victory during the season.

9 is a diagram showing the regular season rankings of the Korean professional basketball regular league over the last four years.

10 is a chart showing the ranking of each record of the Korean professional basketball regular league over the last four years.

FIG. 11 is a diagram showing the list of the top 10 high contributors to the team victory in each season of the Korean professional basketball regular league over the past four years.

12 is a diagram showing the estimation results for the team efficiency of each season of the professional basketball regular leagues in Korea for the last four years.

13 is a diagram illustrating an example of a trade performance analysis based on each player's contribution to team victory.

14 is a flowchart illustrating a process of providing an analysis result to a consumer by the efficiency analysis program.

15 is a flowchart illustrating a process of applying the analysis result by the basketball record and the efficiency analysis program to the game.

In order to achieve the above object, in the method of analyzing the performance of professional basketball teams and their players using a computer, (a) receiving the professional team team odds and various team records affecting the team winning rate in the database Making; (b) Set some of the team records (X _jik ) and supervisor substitutions (D _lik ) in each season of each team as variables that affect the odds (Y _ik ) in each season of each team; We express the odds (Y _ik ) of each team in each season as a linear sum of terms (U _i ) and error terms (V _ik ) that represent inefficiencies that are unique for each team regardless of the variables and season. Regression Equation

Setting up; (c) (b) s of the past season, odds (Y _ik) and variable team record is set to (X _jik) and directed replacement presence stored in the equation, except for U _i and V _ik in the regression equation of the step in the database ( Enter values for D _lik ) to minimize the sum of the errors of both sides of all regression equations ( And ) And the following regression equation

( Is the odds of the modified i-th team's k-season)

Estimating; (d) The loss of multiplier (L _ik ) based on the inefficiency of each professional basketball team in each season is given by

(L _ik is the loss of the multiplier in the k season of the i team, , , , , Is the average odds for the i-th team's past seasons, Is the team average of past seasons of the i team

Estimating using; And (e) the potential multiplier (PW _ik ) based on the team's record of each season's results.

(M is the total number of matches for each team)

Provided is a professional basketball team efficiency analysis method comprising the step of estimating using.

In order to achieve the above another object, a computer-readable recording medium comprising: (a) receiving a professional basketball team win rate and various team records affecting the team win rate and storing them in a database; (b) Set some of the team records (X _jik ) and supervisor substitutions (D _lik ) in each season of each team as variables that affect the odds (Y _ik ) in each season of each team; , And expressing the odds (Y _ik ) of each team in each season as a linear sum of terms (U _i) and error terms (V _ik ) representing inefficiencies with values unique to each team regardless of the variables and season. Regression Equation

Setting up; (c) (b) s of the past season, odds (Y _ik) and variable team record is set to (X _jik) and directed replacement presence stored in the equation, except for U _i and V _ik in the regression equation of the step in the database ( Enter values for D _lik ) to minimize the sum of the errors of both sides of all regression equations ( And ) And the following regression equation

( Is the odds of the modified i-th team's k-season)

Estimating; (d) The loss of multiplier (L _ik ) based on the inefficiency of each professional basketball team in each season is given by

(L _ik is the loss of the multiplier in the k season of the i team, , , , , Is the average odds for the i-th team's past seasons, Is the team average of past seasons of the i team

Estimating using; And (e) the potential multiplier (PW _ik ) based on the team's record of each season's results.

(M is the total number of matches for each team)

Provided is a computer readable recording medium recording a method for analyzing professional basketball efficiency, comprising the step of estimating using:

In order to achieve the above another object, a professional basketball efficiency analysis system comprising: a server computer; And a database connected with the server computer, wherein the server computer includes a storage device and a processor connected to the storage device, the storage device stores a program for controlling the processor, and the processor operates with the above program.

The team records and records various team records that affect the professional basketball team odds and team odds, and saves some of the team records (X _jik ) and supervision (D _lik ) in each season for each team. Set the variables that affect the odds of each season (Y _ik ), and the ratio of each team's odds (Y _ik ) to each team regardless of the variables and season. Regression equation as a linear sum of terms (U _i ) and error terms (V _ik ) representing efficiency

Is set, and the team records (X _jik ) and the supervisory substitution (D _lik ) set with the team odds (Y _ik ) and variables of the past seasons stored in the database in the equation except U _i and V _ik in the regression equation. Enter the values for to determine the coefficients that minimize the sum of the errors of both sides of all regression equations ( And ) And the following regression equation

( Is the odds of the modified i-th team's k-season)

The loss of multiplier (L _ik ) based on the inefficiency of each professional basketball team in each season.

(L _ik is the loss of the multiplier in the k season of the i team, , , , , Is the average odds for the i-th team's past seasons, Is the team average of past seasons of the i team

And then calculate the potential multiplier (PW _ik ) based on the team's record of each season's results.

(M is the total number of matches for each team)

Provided is a professional basketball efficiency analysis system, characterized in that the estimation using.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram of a method for providing a professional basketball efficiency analysis service according to the present invention.

In FIG. 1, the professional basketball efficiency analysis service provider 100 estimates the contribution of each player to the team's victory, the potential multiplier and the efficiency based on the team, and the like by using the professional basketball efficiency analysis program based on the data of the professional basketball game. It is a person who provides to the consumer (102).

The consumer 102 is a user who uses the analysis data or various contents using the analysis data. For example, a newspaper company, each professional basketball team, a professional basketball league (KBL), an agent, and Internet information, who want to use the result as well as the general public. This includes companies and mobile service operators.

2 is a block diagram of a system for providing professional basketball efficiency analysis service according to the present invention.

In FIG. 2, the professional basketball efficiency analysis service providing system 110 includes a server 112 and a database 120. The server 112 includes a main program 114, an efficiency analysis program 116, and a game program 118.

The main program 114 stores the data of the professional basketball game, and in conjunction with the efficiency analysis program 116, estimates the contributions to the team victory of each player, the potential multipliers and the efficiency as viewed by the team, and further calculates the demand server 130, as well as in conjunction with the game program 118 to provide the execution result of the efficiency analysis program 116 to update the data of the basketball-related entertainment game.

The efficiency analysis program 116 sets up a regression equation using variables that affect team odds based on the previous season's basketball record, estimates the regression equation based on the set regression equation, and compares the potential multiplier and team efficiency with the team record. Estimate the contributions each player made to their team's victory by estimating their contribution to their team's records. The estimated regression equation is used to estimate the contribution of each player to the team's victory during the season, the potential multipliers and the efficiency on a team basis, based on the current season's basketball record.

While the game program 118 is a method in which a conventional basketball-related game sets a constant of each player's ability to always enjoy the game under the same conditions, the game program 118 is based on the data of each player through the efficiency analysis program 116. It is a program that sets the ability of each character for a certain period of time, applies the condition of players based on various variables such as weekly, monthly, and injured to the game, or updates the daily condition to apply to the game result.

The database 120 includes a game result DB 122 and an analysis result DB 124.

The game results DB 122 shows the results of basketball games in the past season or the current season, such as team win rate, team ranking, team average or each player's two-point shot success rate, three-point shot success rate, free throw success rate, attack rebound, defense rebound, Stores assists, steals, turnovers, block shots, and more.

The analysis result DB 124 is a result of the execution of the efficiency analysis program 114, namely, the potential multiplier and team efficiency of each team, the contribution of each player to the team victory, and the team's seasonal team victory based on the results. Stores contribution rankings, trade performances, and effects of oversight.

The consumer server 130 is a server of a user using data obtained as a result of the execution of the efficiency analysis program, and is an Internet browser (Netscape, Internet Explorer, etc.) capable of displaying web content in the form of HTML, XML, etc. on an IBM-PC or a compatible model. Has)

3 to 12, the operation of the professional basketball efficiency analysis program according to the present invention will be described in detail.

3 is a flowchart of a program for performing an efficiency analysis of a professional basketball team according to the present invention.

First, the team and individual records of the professional basketball game stored in the game results DB 122 are searched (step 200). Here, the team and individual records are the team win rate, team ranking, team average, or two-point shot success rate of each player, 3 Point shoot success rate, free throw success rate, attack rebound, defensive rebound, assist, steal, turnover, block shot and more.

Based on the records stored in the game result DB 112, the team records that affect the team odds of the basketball game are extracted and set as variables (hereinafter, referred to as record variables). Set seven record variables that affect team odds. In other words, each team's 2-point shot success rate X1, 3-point shot success rate X2, free throw success rate X3, average attack rebounds per game X4, average defense rebounds per game + block shots X5, average assists per game Set the difference between X6 and the average number of steals per game minus turnovers to X7. Of course, in addition to the team record variables, variables affecting the team's odds, for example, the thickness of the player base, the performance of the six men, etc. may be further added.

Here, it is assumed that the block shot and defensive rebound among the recording variables have the same effect on the team's odds. Since the team's steal is the same as the opponent's turnover, the steal and turnover have the same effect on the team's odds. Assume that you are crazy.

Another factor influencing the team's odds is to set the supervisory shift variables to Dl (step 204). The supervisory shift variable Dl is set to 1 if there is a supervisory replacement, and to a value if there is no supervision. Is set to 0. Of course, the substitution variable D _i can include not only the supervision but also a variety of changes that affect the season's change in the manager's inefficiency, player inefficiency, team inefficiency, and other team odds. In this case, the value of the supervised variable can be adjusted differently from the above.

Once the variables affecting team odds are established, a regression equation is established to determine the effect of each team record on team odds (step 206). The regression equation is as follows.

Here, the subscripts i and k represent teams (i = 1, 2, ..., N) and year (k = 1, 2, ..., T), respectively. Thus Y _ik represents the actual win rate for team i in year k. Similarly, X _jik represents the value of record variable Xj in team k's year k, and D _lik represents the value of supervisor substitution variable Dl in team k's season k. And And _{Denotes the} degree of change in the winning rate when the recording variable X _jik and the supervisory variable D _lik increase by 1, and are assumed to be the same regardless of team and season. U _i is a variable representing each effect, and means a loss of the winning rate due to the inefficiency of each team, and thus always has a positive value. However, the reason why _I denoted by U _i and not U _ik reflects the assumption that the inefficiency of each team is different from that of other teams, but the inefficiency of each team is the same every year. And V _ik has a mean of zero and a variance The stochastic error term is assumed to be independent of the inefficiency error term U _i .

When the regression equation is set, the regression equation is estimated (step 208). The estimated regression equation is as follows.

here, And In the regression equation of Equation 1, except for U _i and V _ik , the record variable X _jik in each year of each team is substituted. And When changing the value of, the sum of the error with the actual winning rate (Y _ik ) And Indicates.

remind And The process of obtaining is shown in FIG. Referring to FIG. 4, first, the average win and average records calculated by averaging wins and records for various seasons for each team, that is, the average win rates for the various seasons of the i th team ( ), the two-point shot success rate for the i-th team's different seasons ( ), the success rate of the three-point shot for the i-th team's season ( ),… , the difference between the number of steels per turn and the number of turnovers per season for the i team ) (Step 300)

The difference between the odds and records of each season and the average and average records is calculated (step 302). The difference between the two-point shot success rate of the i-th team's k season and the team's average two-point shot success rate to be.

And from the above , The value of is substituted for the following formula and the degree to which each record affects the team's odds, And (Step 304)

Where N is the number of teams and T is the number of seasons. And Is as follows.

In this case, 7 record variables affecting the team's odds are set. And Find

Next, using the estimated regression equation, the contribution of each player to the team record is estimated.

A process of estimating the contribution of each player's two-point shoot success rate to the team's two-point shoot success rate is shown in FIG. 5. In Fig. 5, the team average two-point shooting success rate and each player's two-point shooting success rate are retrieved from the game result DB 122 (step 400). Then, the provisional value of the contribution of each player to the team two-point shooting success rate is calculated. (Step 402) For example, if X11 is the first team's two-point shooting success rate, X11 is the number of shot successes / shooting attempts, and if the tentative value of contribution to player 1's team two-point shooting success rate is Z111, then Z111 Is given by

Similarly, the potential value of contribution for player k's two-point shot success rate is:

Then, the difference between the total sum of the contributions to the team's two-point shooting success rate of player k and the actual team two-point shooting success rate may be different (step 404). D11 is as follows. .

Where n is the total number of players in each team.

Now, the difference between the total sum of the contributions to the team's two-point shooting success rate for player k and the actual team two-point shooting success rate is distributed in proportion to the provisional value of the contribution to the team's two-point shooting success rate for each player k. Estimate the contribution to the team's two-point shot success rate (steps 406 and 408). If it is as follows.

Where n equals the total number of players in each team, and the total sum of the contributions to the team's two-point shooting success rate for player k and the actual team two-point shooting success rate differ from each other's two-point shooting success rate. Distribute proportionally.

And the number of contributions to each player's three-point shot success rate ( ) And the number of contributions to each player's team free throw success rate ( ) Is calculated in the same way.

However, the contributions of the average team attack rebounds per game, the sum of defensive rebounds and block shots, assists, and the difference between the steel and the turnover per player k shall be different from the above methods, respectively. The difference between the sum of the number of block shots, the number of assists, the number of steels, and the number of turnovers is X41k, X51k, X61k, and X71k.

In this way, for all teams, each player's contribution to his team's records is estimated.

Next, the potential multiplier and the team efficiency are estimated based on the team using Equation 4 (step 212).

The process is shown in FIG. Referring to Figure 6, first of the regression equation Is calculated by the estimation formula (step 500). The estimation formula is as follows.

here Is Means, Is the average of the odds of the past seasons of the i team, i.e. Is the team average of past seasons of the i team.

And among the professional basketball teams By calculating the largest team The largest value (Step 502) Thus, Becomes This is the most efficient team It means to set the value of to 0.

The loss of multiplier L _ik based on the inefficiency of each team is estimated (step 504). The loss of the multiplier based on the inefficiency is expressed by the following two equations.

Here, D _jik means the manager's substitution variable in year k of the manager's i-th _team.In addition to the effects of manager substitution, as described above, manager's inefficiency, player's inefficiency, and team management's inefficiency You can include changes that affect your team's season change and other team odds. In this case, the value of the supervised variable can be adjusted differently from the above. Loss of multiplier based on inefficiency of each team L _ik sets the loss of multiplier based on inefficiency of the most efficient team to 0, and _calculates the difference between U _ik between the most efficient team and other teams. It is calculated as the loss of multiplier based on.

Estimate the potential multiplier based on the team's record of the season's results (step 506).

Here, M represents the total number of matches of each team. Referring to Equation 12, the potential multiplier in season k of the i-th team is divided by 100, which is the sum of the actual multipliers based on the total number of matches of each team and the loss multiplier based on inefficiency. It means multiplied by the total number of matches.

We estimate the efficiency of each team in each season (step 508). The efficiency of each team is estimated using the following equation.

In other words, the efficiency of each team is multiplied by 100 by dividing the actual multiplier by the potential multiplier. Thus, the most efficient team has a real multiplier and a team efficiency of 100%.

Next, we estimate each player's team victory contribution (step 214).

The process of estimating the team victory contribution of each player is shown in FIG. In FIG. 7, the preliminary contribution value of each player to each team victory is calculated (step 600). For example, the preliminary contribution value of the first team first player to the team victory is as follows.

here Is the same as the coefficient for the recording variables shown in Equation 2 above. And Denotes the numerical value of the contribution to the team record of each player shown in equation (8).

Thus, the preliminary contribution of the first team kth player to team victory is as follows.

Then, calculate the contribution ratio of each player to the victory of the team (step 602). For example, the contribution ratio of the kth player of the first team to the victory of the team is as follows.

N is the total number of players in each team.

Calculate the contribution multiplier for each player of each team to the team's potential multiplier (step 604). For example, if the k multiplier of the i team to the team multiplier is RC ₁₁ Becomes Where PW ₁ is the potential multiplier.

Then, calculate the contribution of each player to each team's actual multiplier (step 606). If the i th team's k multiplier is set to SC _ik , then the i th team's k th player Attribution multiplier on team potential multiplier Becomes

In addition, if each player of each team obtains the contribution multiplier of the team potential multiplier through the above process, the ranking of the contributions of the players to the team victory by each season, the ranking of the contributions of the domestic players to the team victory by each season In addition, you can find out the rankings that contributed to the team's victory in each season by foreign players, and analyze the performance of trades.

Through the above steps, the team potential multipliers and team efficiency analysis of the past seasons by the operation of the professional basketball efficiency analysis program according to the present invention, team contribution contributions of each player, etc. are estimated.

FIG. 8 is a flowchart illustrating a process of determining the contributions, the potential multipliers, and the efficiencies viewed based on teams of teams during the season.

In FIG. 8, the team's individual and individual records of the current season are retrieved from the game results DB 122 to determine the contributions that each player has made to the team's victory during the season, the potential multipliers and the efficiency seen on a team basis (step 700). The regression equation of Equation 2 is determined based on the results of the seasons basketball game. That is, determined through the steps 300 to 304 shown in FIG. , , Use

Then, using Equation 2, the contribution of each player to the team record is estimated using the results of the current season. (Step 702) The process is based on the same process as shown in FIG. 5 is different from the current season's team record and each player's record.

Next, the team potential multiplier and the team efficiency are estimated using Equation 2. (Step 704) This process is based on the process shown in FIG. However, the team's record and the player's record of the current season are used instead of the team's record of each season and the record of each player.

Then, each player's contribution to team victory is estimated (step 706). This process is based on the process shown in FIG. Use

The estimated team potential multiplier, team efficiency, and team victory contribution of each player are stored in the analysis result DB 124 for each team and player (step 708).

Now, the results analyzed by the program will be described with reference to FIGS. 9 to 13.

9 is a diagram showing the regular season rankings of the Korean professional basketball regular league over the last four years. 10 is a diagram showing the ranking of each record of the Korean professional basketball regular league over the last four years. 9 and 10, it can be seen that each record is closely linked to the team ranking. In other words, in 1997, Kia's championship Kia was in the top three of the nine categories, but only one free throw in the bottom, while Samsung, the bottom team, had no single item in the top, but had only one low rate, still, turnover. It is included in five items.

The list of the top 10 high contributors to the team victory in each season of the Korean professional basketball regular league over the past four years is shown in FIG. 11. Most of the contributions of foreign players are higher than those of domestic players. In terms of individual player contributions to team wins, Williford was the most contributing player, ranking first in 97, 97/98, and fifth in the 98/99 season. Meanwhile, Hyundai McDowell contributed 10.16 wins in the 98/99 season, and Seo Jang-hoon, the first domestic player, came in first with 9.84 wins.

Comparing the domestic players alone, Jung Jae-keun in 97 season, Mungyeong in 97/98 season, and Seo Jang-hun in the team contribution in the 98/99 and 99/2000 season ranked first. The top 10 players in the four seasons over the four seasons were Kang Dong-hee, Kim Young-man, Lee Sang-min, Jeon Hee-chul and Hur Jae. Seo Jang-hoon and Hyun Ju-hyeop were among the top 10 in both seasons after joining the pro in 1998.

Contributions The top 10 contributors occupy foreign players in 97 seasons, 99/2000 seasons, and 8 foreign players in 97/98 seasons and 98/99 seasons.

On the other hand, the estimation results for the team efficiency of each season of the professional basketball regular league in Korea for the last four years are shown in FIG. In Figure 12, the most efficient team in the last 99/0000 season was Changwon LG. In aggregate, LG's potential ranking was only 9th out of 10 teams, but in reality it was seventh to show the full potential of the team. Daejeon Hyundai, who won the regular league for the third consecutive year, ranked first, second and fourth in potential, second, fourth and third in inefficiency, and the winning team has both potential and efficient operation. Indicates. On the other hand, Cheongju SK remained in the lower ranks with efficiency rankings 10th and 9th, and improved to 1st potential and 5th efficiency in the past season.

An example of a trade performance analysis based on each player's contribution to team victory is shown in FIG. 13. In Fig. 13, in the trade of Heo Jae (Kia) ↔ Jeong In Kyo (Narae) after the 97/98 season, Hui Jae's contribution to starvation was 3.3 wins and Jeong In Kyo's contribution to Narae's contribution was 4.5 wins. Hunger was more likely to earn income, but in the 98/99 season after the trade, Heo Jae-han contributed 5.7 wins to Narae, which was much better than Jeong In-kyo, which contributed 2.0 wins.

On the other hand, the trade of Hyun Joo-Yeop (SK) and Jo Sang-Hyeon (Nasan) during the 1999-2000 season was a representative win-win trade. In other words, the contribution of team wins per game was 0.13 wins before the trade, but improved to 0.18 wins after the trade, and the contributions rose from 0.11 wins to 0.14 wins, leading to an improvement in both teams.

In addition, by using the analysis results of the above program, the contribution of each position to the team's victory of the players, the contribution of the team's victory to foreign players, and the influence of the change in team efficiency due to the substitution of managers on the winning rate can be analyzed.

Hereinafter, a method of utilizing an analysis result by the efficiency analysis program will be described with reference to FIGS. 14 and 15.

14 is a flowchart illustrating a process of providing an analysis result to a consumer by the efficiency analysis program.

In FIG. 14, the result of the basketball game is received from the KBL and the like and stored in the game result DB 122 (step 800). The results of the basketball game are not only past seasons, but also team win rates, team rankings, teams in the current season. Average or each player's two-point shot success rate, three-point shot success rate, free throw success rate, attack rebound, defensive rebound, assist, steal, turnover, block shot, and the like.

As shown in FIG. 8, the result data of the basketball game of the current season is input to the regression equation obtained by using the basketball game records of the past seasons for efficiency analysis.

In other words, the potential multiplier of each team of the season, i.e., the expected score of each team, is calculated using the program. It also estimates player-specific efficiencies, ie player predictions, and team efficiencies based on manager substitutions and player trades. These processes are based on the process shown in FIG.

In addition, it is possible to set the top 5 rankings by domestic players and foreign mercenaries as well as selecting MVPs by weekly, monthly, round and season based on the efficiency of each player.

Next, the efficiency analysis results obtained above, that is, the predicted performance of each team, the efficiency of each player and the efficiency of weekly, monthly, round and season players based on the team, change of team efficiency according to manager substitution and player trade, etc. The various types of information are provided to a newspaper company, an information communication company, etc. (step 804) Thus, the newspaper company, the information communication company, etc. may provide the information to a desired customer by using a newspaper, an Internet homepage, or a mobile service.

Of course, the professional basketball efficiency analysis service provider 100 may provide the above information in the form of content in a web page operated by one or another person.

15 is a flowchart illustrating a process of applying the analysis result by the basketball record and the efficiency analysis program to the game.

In FIG. 15, the capability value for each player and team is calculated using the result data of the basketball games of the past seasons received from the KBL or the like and stored in the game result DB 122 (step 900). By the established process.

Based on the player's and team's ability values obtained above, the game's standard ability value is calculated based on the player's and team's total records. (Step 902) The standard skill value of the player or team in the game is a two-point shot for each team or individual. It is set according to the success rate, the three-point shot success rate, the free throw success rate, the number of attack rebounds, the number of defense rebounds, the number of assists, the number of steals, the number of turnovers, the number of block shots, and the like. For example, a player or a team with high ability sets a relatively good shot even if the keyboard is poorly operated. Of course, the basketball-related game here is a basketball-related game that can change the ability value of each player and team in the game, unlike the conventional game in which each player's ability is set to be constant and always enjoyed the game under the same conditions. It may be a game, or a game that can be played offline, but includes a game that can be changed by updating the stats by player and team.

The player's and team's ability values in the game set as above are input as player's and team's standard ability values (step 904). Of course, the professional basketball efficiency analysis service provider 100 directly sets the capability values for each player and team. Of course, the online game company may receive and input the player-specific, team-specific capability from the professional basketball efficiency analysis service provider 100.

The efficiency analysis program 116 is executed using the result data of the current season's basketball game stored in the game result DB 122, according to the contribution and efficiency of each player in the current season, mercenary income, trade and supervision of the current season. (Step 906). Of course, the process can be calculated in daily, weekly, monthly, and round cycles.

Based on the result data of the basketball game of the current season, the player's contribution and team efficiency in the current season are updated regularly or irregularly in the game to adjust the player's and team's ability values (step 908).

According to the present invention, by using the professional basketball efficiency analysis program, each player's contribution to the team victory, the potential multiplier and team efficiency viewed on a team basis, and the like have the following effects.

First, by providing an objective and scientific assessment of each player's ability based on the contributions made to each player's team victory, the salary negotiations can be made fairly, and the side effects of the players can be reduced. Can be.

Second, data-based consulting is possible through comparison of efficiency estimation results and team records based on potential multipliers and team efficiency.

Third, the objective and scientific contribution of each player to the team's victory, potential multipliers and team efficiency on a team basis can be provided.

Fourth, it is possible to predict the outcome of winning or losing the future game by measuring the winning power between teams based on a database storing various records of each team and players.

As a result, by providing objective and scientific analysis data by the professional basketball efficiency analysis program, not only can the professional basketball performance be improved, but also the secondary development of related industries can be enriched.

Claims (8)

In the method of analyzing the performance of professional basketball teams and their players using a computer, (a) receiving the professional basketball team odds and various team records affecting the team odds and storing them in a database; (b) Set some of the team records (X _jik ) and supervisor substitutions (D _lik ) in each season of each team as variables that affect the odds (Y _ik ) in each season of each team; We express the odds (Y _ik ) of each team in each season as a linear sum of terms (U _i ) and error terms (V _ik ) that represent inefficiencies that are unique for each team regardless of the variables and season. Regression Equation Setting up; (c) (b) s of the past season, odds (Y _ik) and variable team record is set to (X _jik) and directed replacement presence stored in the equation, except for U _i and V _ik in the regression equation of the step in the database ( Enter values for D _lik ) to minimize the sum of the errors of both sides of all regression equations ( And ) And the following regression equation ( Is the odds of the modified i-th team's k-season) Estimating; (d) The loss of multiplier (Lik) based on the inefficiency of each professional basketball team in each season is given by (L _ik is the loss of the multiplier in the k season of the i team, , , , , Is the average odds for the i-th team's past seasons, Is the team average of past seasons of the i team Estimating using; And (e) The potential multiplier (PWik) based on the team's record of each season's match results is given by (M is the total number of matches for each team) Probing team efficiency analysis method comprising the step of estimating using. The method according to claim 1, wherein the variables that affect the odds of each season of each team in step (b) are: team two-point shoot success rate (X1ik), team three-point shoot success rate (X2ik), free throw success rate in each season of each team. (X3ik), Average number of attack rebounds per game (X4ik), Average number of defensive rebounds per game + Number of block shots (X5ik), Average number of assists per game (X6ik), Average number of steals per game-Number of turnovers (X7ik) ) And a method of analyzing the efficiency of professional basketball, comprising Dlik having a supervisory replacement value of 1 if there is supervision and no value of supervision. The method of claim 1, The contribution of each player in step (f) to each team's two-point shoot success rate (X1ik), three-point shoot success rate (X2ik), and free throw success rate (X3ik) in each season is given by ( , , j is a two-point shot, a three-point shot, a subscript indicating the free throw success rate, and n is the total number of players in the i-th team) Estimating using; And (g) The contribution multiplier for each player to the team's potential multiplier is: ( , , n is the total number of players in team i, k is the subscript representing the player in team i) Pro basketball efficiency analysis method further comprising the step of estimating using. The method of claim 1, (h) Entering the current season's match results data into the estimated regression equations of step (c), each day, weekly, monthly, round or season, so each player's contribution to team records, team potential multiplier and team efficiency, Estimating at least one or more of each team's team contribution contribution, team or team's expected performance or team efficiency change according to manager and player substitution. The method of claim 4, wherein (i) transmitting the result estimated in step (h) to at least one of a newspaper company, a mobile communication company, and a homepage operating company. The method of claim 4, wherein (j) The method for analyzing professional basketball efficiency further comprising updating the result estimated in the step (h) with the data of the basketball-related game program. In a computer-readable recording medium, (a) receiving the professional basketball team odds and various team records affecting the team odds and storing them in a database; (b) Set some of the team records (X _jik ) and supervisor substitutions (D _lik ) in each season of each team as variables that affect the odds (Y _ik ) in each season of each team; We express the odds (Y _ik ) of each team in each season as a linear sum of terms (U _i ) and error terms (V _ik ) that represent inefficiencies that are unique for each team regardless of the variables and season. Regression Equation Setting up; (c) (b) s of the past season, odds (Y _ik) and variable team record is set to (X _jik) and directed replacement presence stored in the equation, except for U _i and V _ik in the regression equation of the step in the database ( Enter values for D _lik ) to minimize the sum of the errors of both sides of all regression equations ( And ) And the following regression equation ( Is the odds of the modified i-th team's k-season) Estimating; (d) The loss of multiplier (L _ik ) based on the inefficiency of each professional basketball team in each season is given by (L _ik is the loss of the multiplier in the k season of the i team, , , , , Is the average odds for the i-th team's past seasons, Is the team average of past seasons of the i team Estimating using; And (e) The potential multiplier (PW _ik ) based on the team's record of each season's match results is given by (M is the total number of matches for each team) A computer-readable recording medium recording the professional basketball efficiency analysis method comprising the step of estimating by using. In the professional basketball efficiency analysis system, Server computer; And A database associated with the server computer, The server computer Storage, A processor connected to the storage device, The storage device stores a program for controlling the processor. The handler works with the program above The team records and records various team records that affect the professional basketball team odds and team odds, and saves some of the team records (X _jik ) and supervision (D _lik ) in each season for each team. Set the variables that affect the odds of each season (Y _ik ), and the ratio of each team's odds (Y _ik ) to each team regardless of the variables and season. Regression equation as a linear sum of terms (U _i ) and error terms (V _ik ) representing efficiency Is set, and the team records (X _jik ) and the supervisory substitution (D _lik ) set with the team odds (Y _ik ) and variables of the past seasons stored in the database in the equation except U _i and V _ik in the regression equation. Enter the values for to determine the coefficients that minimize the sum of the errors of both sides of all regression equations ( And ) And the following regression equation ( Is the odds of the modified i-th team's k-season) The loss of multiplier (L _ik ) based on the inefficiency of each professional basketball team in each season. (L _ik is the loss of the multiplier in the k season of the i team, , , , , Is the average odds for the i-th team's past seasons, Is the team average of past seasons of the i team And then calculate the potential multiplier (PW _ik ) based on the team's record of each season's results. (M is the total number of matches for each team) Professional basketball efficiency analysis system, characterized in that using the estimation.