KR20220074509A - Method for anaysis playball records and computing device for executing the method - Google Patents

Abstract

A baseball record analysis method and a computing device for performing the same are disclosed. A computing device according to an embodiment of the disclosure is a computing device having one or more processors and a memory for storing one or more programs executed by the one or more processors, and includes identification-related information and basic records for each baseball player. A data collection module for collecting information, a stat coefficient calculation module for calculating preset stat coefficient information based on the basic record information of each baseball player, and an analysis index preset based on the basic record information and stat coefficient information of each baseball player and an analytic index generation module for generating

Description

Baseball record analysis method and computing device for performing the same

Embodiments of the present invention relate to baseball record analysis techniques.

Social baseball refers to a baseball game between teams made up of amateur players, not professional players. Social baseball exists in various forms, such as an association in each region, a league according to each regional association, an independent league not subordinated to a regional association, and a tournament-oriented social baseball tournament.

The records of players in various sports events are an important factor in the training or scouting of players in the future. There is a problem in that it cannot be integrated and managed, so that accurate analysis results for each player cannot be provided.

Korean Patent Publication No. 10-2019-0031619 (2019.03.07)

The disclosed embodiment of the present invention is to provide a baseball record analysis method capable of generating a new analysis index for each baseball player, and a computing device for performing the same.

A computing device according to an embodiment of the disclosure is a computing device having one or more processors, and a memory for storing one or more programs executed by the one or more processors, wherein identification-related information and basis for each baseball player a data collection module for collecting record information; a stat coefficient calculation module for calculating preset stat coefficient information based on the basic record information of each baseball player; and an analysis index generating module for generating a preset analysis index based on the basic record information of each baseball player and the stat coefficient information.

The analysis index generation module, when the player is a batter, a batter analysis index generation unit for generating a batter analysis index including the power index, star index, pioneering eye index, accuracy index, and running index; And when the player is a pitcher, it may include a pitcher analysis index generating unit that generates an inning digestibility index, ball control index, control index, strikeout index, and batted ball suppression index.

The power index is based on at least one of hits, doubles, triples, home runs, RBI, runs, routes, slugging, slugging percentage, net slugging percentage, estimated runs, points production, points production compared to league average, and victory contribution compared to substitute players. generated based on, and the star rating index is one of the number of games, at bats, at bats, hits, singles, doubles, RBI, runs, stolen bases, walks, four balls, strikeouts, bases, long hits, estimated runs, and score production Produced based on the above, the pioneering index is generated based on one or more of strikeouts, strikeout-to-walk ratio, strikeout rate, and contact success rate, and the accuracy index is, batting average, slugging rate, on-base rate, net slugging rate, contact success rate , GPA (Gross Production Average), estimated runs, run production, weighted on-base percentage, points production compared to league average, and victory contribution compared to substitute players, and the running base index is: stolen bases, walks, four balls, on-base percentage , the strikeout-to-walk ratio, the estimated points, the league average-to-point production, and the victory contribution to the replacement players.

The typing analysis index generator may generate the power index, the star star index, the pioneering eye index, the accuracy index, and the running-out index, respectively, through Equations 1 to 5 below.

(Equation 1)

Power index = (1st power weight x hits) + (2nd power weight x doubles) + (3rd power weight x triples) + (4th power weight x home runs) + (5th power weight x RBI) + (6th power weight × RBI) + (7th power weight × scoring) + (8th power weight × roux) + (9th power weight × long hitting) + (10th power weight × slugging rate) + (11th power weight) ×Net slugging percentage) + (12th power weight × estimated points) + (13th power weight × score production) + (14th power weight × score production compared to league average) + (15th power weight × victory contribution to substitute players)

(Equation 2)

Starness index = (1st star weight × number of games) + (2nd star weight × at bats) + (3rd star weight × number of at-bats) + (4th star weight × hits) + (5th star rating) Weight x 1 base) + (6th star weight x 2) + (7th star weight x RBI) + (8th star weight x score) + (9th star weight x stolen base) + (10th) Star weight x walk) + (11th star weight x 4 balls) + (12th star weight x strikeout) + (13th star weight x roux) + (14th star weight x long hit) + (15th) Star weight × estimated score) + (16th star weight × score production)

(Equation 3)

Leading eye index = - (1st leading eye weight × striking out) + (2nd leading eye weight × striking out ratio to walk) - (3rd leading eye weight × strikeout rate) + (4th leading eye weight × contact success rate)

(Equation 4)

Accuracy index = (1st accuracy weight × batting average) + (2nd accuracy weight × slugging percentage) + (3rd accuracy weight × on-base percentage) + (4th accuracy weight × net slugging percentage) + (5th accuracy weight × contact success rate) + (6th accuracy weight × GPA) + (7th accuracy weight × estimated score) + (8th accuracy weight × score production) + (9th accuracy weight × weighted on-base percentage) + (10th accuracy weight × league average score production) ) + (11th Accuracy Weight × Victory Contribution to Substitutes)

(Equation 5)

Base base index = (1st base base weight x stolen base) + (2 base base weight x walk) + (3 base base weight x 4 pitches) + (4 base base weight x on base rate) + (5 base base weight x strikeout to walk ratio) + (6th base base weight × estimated points) + (7th base base weight × score production compared to league average) + (8th base base weight × victory contribution to substitute players)

The innings digestibility index is generated based on at least one of an on-base percentage per inning, assists, batting average, on-base percentage, and innings, and the pitch index is: , P1s, P2Rs, Pita points, runs scored, stolen bases, dead balls, and strikeouts, and the control index is generated based on one or more of strikeouts and walks, the number of walks per inning, runs scored, and It is generated based on one or more of intentional four balls, and the strikeout index is generated based on one or more of strikeouts per at-bat, the number of wasted swings, an on-base percentage, and a net long-slugging percentage, and the batted ball suppression index is: It may be generated based on one or more of hit ratio, batting batting average, ERA, wins, errors, and contribution to wins versus substitutes.

The pitcher analysis index generating unit may generate the inning digestibility index, the ball position index, the control power index, the strikeout index, and the batted ball suppression index through Equations 6 to 10, respectively.

(Equation 6)

Inner innings index = (1st inning digestibility weight × on-base percentage per inning) + (second inning digestibility weight × assists) + (3rd inning digestibility weight × slugging percentage) + (4th inning digestibility weight × on-base percentage) + (5th inning digestibility weight × innings)

(Equation 7)

Pitch index = (1st pitch weight×number of strikeouts per inning) + (2nd pitch weight×number of games) + (3rd pitch weight×number of hits) + (4th pitch weight×total hits) + (5th pitch) Weight×P1) + (6th position weight×P2) + (7th position weight×Peeta point) + (8th position weight×Scored) + (9th position weight×Fido base) + (No. 10 position weight × dead ball) + (11th position weight × strikeout)

(Equation 8)

Control index = (1st control weight × number of walks per strikeout) - (2nd control weight × number of walks per inning) + (3rd control weight × goals scored) + (4th control weight × intentional death ball)

(Equation 9)

Strikeout Index = (1st strikeout weight × strikeouts per at-bat) + (2nd strikeout weight × number of wasted swings) + (3rd strikeout weight × on-base percentage) + (4th strikeout weight × batting average)

(Equation 10)

Hit Ball Restriction Index = (1st Hit Suppression Weight × Hit Ratio of In-Play Hits) + (2nd Hit Suppression Weight×Slave Striking Rate) + (3rd Hit Suppression Weight×DEF) + (4th Hit Suppression Weight×Win) + ( 5th batted ball restraint weight × error) + (6th batted ball restraint weight × victory contribution to substitute players)

The computing device performs statistical analysis on at least one of the analysis index of each baseball player and the analysis variable of each analysis index, and classifies one or more of the analysis index by analysis index and analysis variable of the analysis index It may further include a statistical analysis module.

The computing device is an information providing module that visualizes and displays one or more of an analysis index of a player corresponding to the information provision request, a grade for each analysis index, and a grade for each analysis variable of the analysis index according to a user's information provision request may further include.

A baseball record analysis method according to an embodiment disclosed is a method performed in a computing device having one or more processors, and a memory for storing one or more programs executed by the one or more processors, wherein each baseball player Collecting identification-related information and basic record information for the operation; calculating preset stat coefficient information based on the basic record information of each baseball player; and generating a preset analysis index based on the basic record information of each baseball player and the stat coefficient information.

According to the disclosed embodiment, for each baseball player, based on the basic record information and stat coefficient information of each baseball player, an analysis index that can be easily understood by the general public (batting power index, star index, vision index, accuracy index) , base base index, pitcher: inning digestibility index, ball position index, control index, strikeout index, batting control index), the general public can easily grasp the level of ability for each baseball player, and even for social baseball players, each baseball It will be possible to easily create a scouting report of the players.

In addition, each baseball player can easily check their level of ability, and it is possible to help them maintain better performance by analyzing which parts are weak.

1 is a view showing the configuration of a baseball record analysis apparatus according to an embodiment of the present invention;
2 is a view showing an embodiment of providing baseball player analysis information in the apparatus for analyzing baseball records of the present invention;
3 is a view showing another embodiment of providing baseball player analysis information in the apparatus for analyzing baseball records of the present invention;
4 is a view showing another embodiment of providing baseball player analysis information in the baseball record analysis apparatus of the present invention
5 is a block diagram illustrating and describing a computing environment including a computing device suitable for use in example embodiments;

Hereinafter, specific embodiments of the present invention will be described with reference to the drawings. The following detailed description is provided to provide a comprehensive understanding of the methods, devices, and/or systems described herein. However, this is merely an example, and the present invention is not limited thereto.

In describing the embodiments of the present invention, if it is determined that the detailed description of the known technology related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. And, the terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to intentions or customs of users and operators. Therefore, the definition should be made based on the content throughout this specification. The terminology used in the detailed description is for the purpose of describing embodiments of the present invention only, and should in no way be limiting. Unless explicitly used otherwise, expressions in the singular include the meaning of the plural. In this description, expressions such as “comprising” or “comprising” are intended to indicate certain features, numbers, steps, acts, elements, some or a combination thereof, one or more other than those described. It should not be construed to exclude the presence or possibility of other features, numbers, steps, acts, elements, or any part or combination thereof.

In the following description, the terms "transmission", "communication", "transmission", "reception" and other similar meanings of a signal or information are not only directly transmitted from one component to another component, but also a signal or information This includes passing through other components. In particular, to “transmit” or “transmit” a signal or information to a component indicates the final destination of the signal or information and does not imply a direct destination. The same is true for "reception" of signals or information. In addition, in this specification, when two or more data or information are "related", it means that when one data (or information) is acquired, at least a part of other data (or information) can be acquired based thereon.

Also, terms such as first and second may be used to describe various components, but the components should not be limited by the terms. The above terms may be used for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component.

1 is a diagram showing the configuration of a baseball record analysis apparatus according to an embodiment of the present invention.

Referring to FIG. 1 , the baseball record analysis apparatus 100 includes a data collection module 102 , a stat coefficient calculation module 104 , an analysis index generation module 106 , a statistical analysis module 108 , and an information providing module 110 . ) may be included.

In one embodiment, the data collection module 102 , the stat coefficient calculation module 104 , the analysis index generation module 106 , the statistical analysis module 108 , and the information providing module 110 are one or more physically separated devices It may be implemented using one or more processors or a combination of one or more processors and software, and may not be clearly distinguished in specific operation unlike the illustrated example.

The data collection module 102 may collect identification-related information and basic record information for each baseball player. Here, the identification-related information includes the player's name, the player's position information (eg, catcher, pitcher, first baseman, second baseman, third baseman, shortstop, left fielder, center fielder, right fielder, etc.), the player's hometown, and the A league to which the player belongs, a league ID for the player, and a team to which the player belongs may be included.

Also, the basic record information may vary depending on whether the player is a batter or a pitcher. If the player is a batter, the batter's basic record information includes the number of games, at bats, at bats, hits, singles, doubles, triples, home runs, RBIs, runs, stolen bases, walks, four balls, strikeouts, and sacrifice flies, etc. can do. If the player is a pitcher, the pitcher's basic record information may include the number of games, wins and losses, holds, saves, pitches, innings, own runs, runs, hits, home runs, walks, four balls, strikeouts, and the like.

In an exemplary embodiment, the data collection module 102 may collect identification-related information and basic record information of baseball players belonging to the corresponding league from the Internet site of each social baseball league through crawling, but data collection The method is not limited thereto. The data collection module 102 may store the collected identification-related information and basic record information of each baseball player in a database (not shown).

The stat coefficient calculation module 104 may calculate preset stat coefficient information based on the basic record information of each baseball player. The stat coefficient calculation module 104 may calculate batter stat coefficient information when the corresponding baseball player is a batter, and calculate pitcher stat coefficient information when the corresponding baseball player is a pitcher. The stat coefficient calculation module 104 may remove missing data and abnormal data from the basic record information collected by the data collection module 102 and calculate the stat coefficient information using the remaining basic record information.

Also, when the corresponding baseball player is a batter, the stat coefficient calculation module 104 may calculate batter stat coefficient information for a batter having a turn at bat equal to or greater than a preset threshold turn at bat. When the corresponding baseball player is a pitcher, the stat coefficient calculation module 104 may calculate pitcher stat coefficient information for a pitcher having an inning of more than a preset threshold inning.

In an exemplary embodiment, the batter stat coefficient information includes batting average, routs, slugging percentage, slugging percentage, on-base percentage, slugging percentage + on-base percentage, net slugging percentage, walk-to-strikeout ratio, strikeout percentage, contact success rate, Gross Production Average (GPA = (1.8) ×slugging percentage + on-base percentage)/4), estimated points, estimated points per preset out-count, points production, points production per preset out-count, weighted on-base percentage, slugging percentage + on-base percentage compared to league, points production versus league average, points versus league average Contributions, and contribution to wins versus substitutes may be included.

In an exemplary embodiment, the pitcher stat coefficient information may include a win rate, a strikeout-to-walk ratio, an earned run average, a run rate, and an on-base allowance per inning. Here, since the batter stat coefficient information and the pitcher stat coefficient information are already known, a detailed description thereof will be omitted.

The analysis index generation module 106 may generate a preset analysis index based on the basic record information and stat coefficient information of each baseball player. The analysis index generation module 106 may include a batter analysis index generation unit 106a and a pitcher analysis index generation unit 106b.

The batter analysis index generator 106a may generate a power index, a star rating index, a pioneering eye index, an accuracy index, and a running base index, respectively, for batters among baseball players. The batter analysis index generating unit 106a may generate a power index, a star star index, a pioneering eye index, an accuracy index, and a running base index based on the basic record information and batter stat coefficient information of the baseball player corresponding to the batter.

The batter analysis index generation unit 106a may set a variable for generating each analysis index among the basic record information and stat coefficient information of the batters. That is, the batter analysis index generation unit 106a includes a power variable for generating a power index among the basic record information and stat coefficient information of batters, a star variable for generating a star star index, a pioneer eye variable for generating a pioneer eye index, An accuracy variable for generating an accuracy index and a running base variable for generating a running base index may be set respectively.

In an exemplary embodiment, the batter analysis index generation unit 106a includes hits, doubles, triples, home runs, RBIs, runs, roulettes, slugging, slugging percentage, net slugging percentage, and estimated points among the basic record information and stat coefficient information of batters. , score production, score production relative to league average, and victory contribution versus substitute players may be set as power variables for generating a power index.

The batter analysis index generator 106a may calculate the power index of the corresponding batter by assigning a power weight to each power variable. The batter analysis index generator 106a may calculate the power index of each batter through Equation 1 below.

(Equation 1)

Power index = (1st power weight x hits) + (2nd power weight x doubles) + (3rd power weight x triples) + (4th power weight x home runs) + (5th power weight x RBI) + (6th power weight × RBI) + (7th power weight × scoring) + (8th power weight × roux) + (9th power weight × long hitting) + (10th power weight × slugging rate) + (11th power weight) ×Net slugging percentage) + (12th power weight × estimated points) + (13th power weight × score production) + (14th power weight × score production compared to league average) + (15th power weight × victory contribution to substitute players)

Here, the first to fifteenth power weights may be set to values ranging from 0 to 1.

In addition, the batter analysis index generation unit 106a is the number of games, at bats, at bats, hits, singles, doubles, RBIs, runs, stolen bases, walks, four balls, strikeouts, rutas, among the basic record information and stat coefficient information of batters. Long hitting, estimated score, and score production can be set as star variables for generating a star rating index.

The batter analysis index generator 106a may calculate a star index of the corresponding batter by giving a star weight to each star variable. The batter analysis index generator 106a may calculate the star rating index of each batter through Equation 2 below.

(Equation 2)

Starness index = (1st star weight × number of games) + (2nd star weight × at bats) + (3rd star weight × number of at-bats) + (4th star weight × hits) + (5th star rating) Weight x 1 base) + (6th star weight x 2) + (7th star weight x RBI) + (8th star weight x score) + (9th star weight x stolen base) + (10th) Star weight x walk) + (11th star weight x 4 balls) + (12th star weight x strikeout) + (13th star weight x roux) + (14th star weight x long hit) + (15th) Star weight × estimated score) + (16th star weight × score production)

Here, the first star weight to the sixteenth star weight weight may be set to values ranging from 0 to 1.

In addition, the batter analysis index generating unit 106a may set strikeouts, strikeout-to-walk ratio, strikeout rate, and contact success rate among the basic record information and stat coefficient information of batters as a pioneering variable for generating a pioneering eye index.

The batter analysis index generating unit 106a may calculate the pioneering eye index of the corresponding batter by giving the leading eye weight to each of the leading eye variables. The batter analysis index generator 106a may calculate the pioneering eye index of each batter through Equation 3 below.

(Equation 3)

Leading eye index = - (1st leading eye weight × striking out) + (2nd leading eye weight × striking out ratio to walk) - (3rd leading eye weight × strikeout rate) + (4th leading eye weight × contact success rate)

Here, the first to fourth precursor eye weights may be set to values ranging from 0 to 1.

In addition, the batter analysis index generation unit 106a is a batting average, slugging percentage, on-base percentage, net slugging percentage, contact success rate, GPA (Gross Production Average), estimated points, scoring production, weighted on-base percentage, league among the basic record information and stat coefficient information of batters. The score production compared to the average and the victory contribution compared to the substitute players can be set as accuracy variables for generating the accuracy index.

The typing analysis index generating unit 106a may calculate the accuracy index of the corresponding batter by assigning an accuracy weight to each accuracy variable. The typing analysis index generating unit 106a may calculate the simple accuracy index of each typewriter through Equation 4 below.

(Equation 4)

Accuracy index = (1st accuracy weight × batting average) + (2nd accuracy weight × slugging percentage) + (3rd accuracy weight × on-base percentage) + (4th accuracy weight × net slugging percentage) + (5th accuracy weight × contact success rate) + (6th accuracy weight × GPA) + (7th accuracy weight × estimated score) + (8th accuracy weight × score production) + (9th accuracy weight × weighted on-base percentage) + (10th accuracy weight × league average score production) ) + (11th Accuracy Weight × Victory Contribution to Substitutes)

Here, the first to eleventh accuracy weights may be set to values ranging from 0 to 1.

In addition, the batter analysis index generation unit 106a is a steal, walk, four balls, on-base percentage, strikeout ratio to walk ratio, estimated score, league average score production, and replacement player comparison of each batter among basic record information and stat coefficient information of batters. The victory contribution can be set as a base variable for calculating the base base index.

The batter analysis index generating unit 106a may calculate a running base index of the corresponding batter by assigning a running base weight to each running base variable. The batter analysis index generating unit 106a may calculate the running base index of each batter through Equation 5 below.

(Equation 5)

Base base index = (1st base base weight x stolen base) + (2 base base weight x walk) + (3 base base weight x 4 pitches) + (4 base base weight x on base rate) + (5 base base weight x strikeout to walk ratio) + (6th base base weight × estimated points) + (7th base base weight × score production compared to league average) + (8th base base weight × victory contribution to substitute players)

Here, the first to eighth base weights may be set to values ranging from 0 to 1.

The pitcher analysis index generation unit 106b may generate an inning digestibility index, a ball control index, a control index, a strikeout index, and a batted ball suppression index for each of the pitchers among the baseball players, respectively. The pitcher analysis index generating unit 106b may generate an innings digestibility index, a ballistic index, a control index, a strikeout index, and a batted ball suppression index, respectively, based on the basic record information and the pitcher stat coefficient information of the baseball player corresponding to the pitcher. .

The pitcher analysis index generation unit 106b may set a variable for generating each analysis index among pitchers' basic record information and stat coefficient information. That is, the pitcher analysis index generating unit 106b includes an innings digestibility variable for generating an inner bag digestibility index among the basic record information and stat coefficient information of pitchers, a movement variable for generating a movement index, a restraining force variable for generating a restraint index, A strikeout variable for generating a strikeout index, and a strikeout control variable for generating a strikeout suppression index may be set, respectively.

In an exemplary embodiment, the pitcher analysis index generation unit 106b generates an on-base allowance per inning, assists (assistance), batting average, on-base percentage, and innings innings digestibility index among the basic record information and stat coefficient information of pitchers. It can be set as an inning digestibility variable for

The pitcher analysis index generating unit 106b may calculate the innings digestibility index of the pitcher by giving an inning digestibility weight to each inning digestibility variable. The pitcher analysis index generator 106b may calculate each pitcher's innings digestibility index through Equation 6 below.

(Equation 6)

Inner innings index = (1st inning digestibility weight × on-base percentage per inning) + (second inning digestibility weight × assists) + (3rd inning digestibility weight × slugging percentage) + (4th inning digestibility weight × on-base percentage) + (5th inning digestibility weight × innings)

Here, the first to fifth inning digestibility weights may be set to values ranging from 0 to 1.

The pitcher analysis index generating unit 106b includes: the number of strikeouts per inning, the number of games, the number of hits per inning, the number of hits per inning, the number of hits per inning, the number of hits per inning, the number of hits per inning, the number of hits per inning, the number of hits per inning, the number of hits per inning, the number of hits per inning and the number of hits per inning. , deadball, and strikeouts can be set as position variables for generating a position index.

The pitcher analysis index generator 106b may calculate the pitch index of the corresponding pitcher by giving each pitch weight to each pitch variable. The pitcher analysis index generator 106b may calculate the pitch index of each pitcher through Equation 7 below.

(Equation 7)

Pitch index = (1st pitch weight×number of strikeouts per inning) + (2nd pitch weight×number of games) + (3rd pitch weight×number of hits) + (4th pitch weight×total hits) + (5th pitch) Weight×P1) + (6th position weight×P2) + (7th position weight×Peeta point) + (8th position weight×Scored) + (9th position weight×Fido base) + (No. 10 position weight × dead ball) + (11th position weight × strikeout)

Here, the first to eleventh ordinal weights may be set to values ranging from 0 to 1.

The pitcher analysis index generating unit 106b may set the number of walks versus strikeouts, the number of walks per inning, the number of runs scored, and intentional four balls among the basic record information and stat coefficient information of pitchers as control variables for generating the control index.

The pitcher analysis index generation unit 106b may calculate the control power index of the corresponding pitcher by giving a control weight weight to each control power variable. The pitcher analysis index generator 106b may calculate the control index of each pitcher through Equation 8 below.

(Equation 8)

Control index = (1st control weight × number of walks per strikeout) - (2nd control weight × number of walks per inning) + (3rd control weight × goals scored) + (4th control weight × intentional death ball)

Here, the first control force weight to the fourth control force weight may be set to values ranging from 0 to 1.

The pitcher analysis index generating unit 106b may set strikeouts per at-bat, the number of wasted swings, the on-base percentage, and the net slugging percentage for hitting out among the basic record information and stat coefficient information of pitchers as strikeout variables for generating the strikeout index.

The pitcher analysis index generator 106b may calculate the strikeout index of the pitcher by giving a strikeout weight to each strikeout variable. The pitcher analysis index generator 106b may calculate each pitcher's strikeout index through Equation 9 below.

(Equation 9)

Strikeout Index = (1st strikeout weight × strikeouts per at-bat) + (2nd strikeout weight × number of wasted swings) + (3rd strikeout weight × on-base percentage) + (4th strikeout weight × batting average)

Here, the first to fourth strikeout weights may be set to values ranging from 0 to 1.

The pitcher analysis index generating unit 106b is a batted ball suppression index for generating a batted ball suppression index using the hit ratio, slugging batting rate, ERA, victory, error, and victory contribution of the in-play batted ball among the pitchers' basic record information and stat coefficient information. It can be set as a variable.

The pitcher analysis index generation unit 106b may calculate the batted ball suppression index of the corresponding pitcher by giving a batted ball suppression weight to each batted ball suppression variable. The pitcher analysis index generator 106b may calculate each pitcher's batted ball suppression index through Equation 10 below.

(Equation 10)

Hit Ball Restriction Index = (1st Hit Suppression Weight × Hit Ratio of In-Play Hits) + (2nd Hit Suppression Weight×Slave Striking Rate) + (3rd Hit Suppression Weight×DEF) + (4th Hit Suppression Weight×Win) + ( 5th batted ball restraint weight × error) + (6th batted ball restraint weight × victory contribution to substitute players)

Here, the first to sixth batted ball suppression weights may be set to values ranging from 0 to 1.

Statistical analysis module 108 is the analysis index of each baseball player generated by the analysis index generation module 106 (batter: power index, star index, pioneering eye index, accuracy index, running base index, pitcher: inning digestibility index, position index) , control power index, strikeout index, batted ball suppression index), and statistical analysis may be performed on one or more of the analysis variables of each analysis index.

For example, the statistical analysis module 108 may calculate an average value, a variance, and a standard deviation for the analysis index of each baseball player and the analysis variable of each analysis index, respectively. The statistical analysis module 108 may calculate the statistical flow for each time (week, month, season, etc.) for the analysis index of each baseball player and the analysis variable of each analysis index.

The statistical analysis module 108 may classify the rating for each analysis index of each baseball player based on the analysis index of each baseball player generated by the analysis index generation module 106 . That is, the statistical analysis module 108 may normalize the analysis index of each baseball player and classify the grades for each analysis index of each baseball player.

The statistical analysis module 108 may classify the ratings of each of the baseball players by power index, star quality index, pioneering eye index, accuracy index, and base base index for batters among baseball players. In addition, the statistical analysis module 108 may classify the grades of each pitcher by an inning digestibility index, a ball position index, a control power index, a strikeout index, and a batted ball suppression index for pitchers among baseball players.

The statistical analysis module 108 may classify the grade of the corresponding baseball player for each analysis variable of each analysis index. For example, the statistical analysis module 108 may classify the batter's grades by strikeouts, strikeout-to-walk ratios, strikeout rates, and contact success rates with respect to the pioneering eye index of a given batter. In addition, the statistical analysis module 108 may classify the corresponding pitcher's grades by strikeouts per at-bat, the number of wasted swings, the on-base percentage, and the net slugging percentage with respect to the strikeout index of a given pitcher.

In an exemplary embodiment, the statistical analysis module 108 may classify the analysis index of each baseball player and the analysis variable of each analysis index into 10 grades. For example, the grade classification module 108 is 0-2% grade F, 2-7% grade E, 7-16% grade D, 16-30% grade C, 30-50 % is B grade, 50 to 70% is A grade, 70 to 84% is A ⁺ grade, 84 to 93% is S grade, 93 to 98% is SS grade, and 98 to 100% is graded It can be classified by SSS class.

The information providing module 110 may provide information of a corresponding baseball player in response to a user's request for information provision. For example, the information providing module 112 provides baseball player analysis information including one or more of the basic record information, stat coefficient, analysis index, and visualization information for the analysis index of the baseball player according to the user's information provision request. can be provided to the user.

The information providing module 110 is an analysis index of each baseball player generated by the analysis index generation module 106 (batting: power index, star rating index, pioneering eye index, accuracy index, running base index, pitcher: inning digestibility index, position index) , control power index, strikeout index, batted ball suppression index) can be visualized and displayed. The information providing module 110 may visualize and display the analysis index of each baseball player in the form of a graph.

In addition, the information providing module 110 may visualize and display the grade of the analysis index of each baseball player and the grade of each analysis variable of each analysis index. The information providing module 110 may provide a scouting report by using the stat coefficient and analysis index of each baseball player and statistical analysis information therefor.

In this specification, a module may mean a functional and structural combination of hardware for carrying out the technical idea of the present invention and software for driving the hardware. For example, the "module" may mean a logical unit of a predetermined code and a hardware resource for executing the predetermined code, and does not necessarily mean physically connected code or a single type of hardware.

In one embodiment, the baseball record analysis apparatus 100 may be implemented on a computing device including one or more processors and a computer-readable recording medium connected to the processor. Here, the computing device may be a smart device such as a smart phone or a tablet PC. In this case, the baseball record analysis apparatus 100 may be implemented through an application installed in the computing device. However, the present invention is not limited thereto, and the apparatus 100 for analyzing baseball records may be an independent device or a server computing device.

According to the disclosed embodiment, for each baseball player, based on the basic record information and stat coefficient information of each baseball player, an analysis index that can be easily understood by the general public (batting power index, star index, vision index, accuracy index) , base base index, pitcher: inning digestibility index, ball position index, control index, strikeout index, batting control index), the general public can easily grasp the level of ability for each baseball player, and even for social baseball players, each baseball It will be possible to easily create a scouting report of the players.

In addition, each baseball player can easily check their level of ability, and it is possible to help them maintain better performance by analyzing which parts are weak.

2 is a diagram illustrating an embodiment in which baseball player analysis information is provided by the apparatus 100 for analyzing baseball records of the present invention.

Referring to FIG. 2 , the apparatus 100 for analyzing baseball records may provide identification-related information (A) of a corresponding baseball player in response to a user's request for information provision. Also, the baseball record analysis apparatus 100 may visualize and display the percentage ratio B among all players according to the batter analysis index of the corresponding baseball player.

In addition, when the baseball player corresponding to the request for information provision 100 is a batter, the baseball record analysis apparatus 100 includes a batter analysis index (C) such as the baseball player's power index, star rating index, pioneering eye index, accuracy index, and running index ) can be created and visualized

In addition, the baseball record analysis apparatus 100 statisticizes the analysis variables (eg, batting average, OPS (slugging percentage + on-base percentage), walk / strikeout, strikeout rate, contact success rate, etc.) of the baseball player statistically information (D) It can be visualized and displayed.

3 is a diagram illustrating another embodiment of providing baseball player analysis information in the apparatus 100 for analyzing baseball records of the present invention.

Referring to FIG. 3 , the baseball player corresponding to the information provision request is a batter, and the baseball record analysis apparatus 100 visualizes and displays the grade classification for each analysis variable of the batter analysis index of the baseball player. .

That is, the baseball record analyzing apparatus 100 may visualize and display the classification for each of the double batting, slugging batting, slugging batting average, and net slugging batting average among the power variables for generating the power index of the corresponding baseball player. In addition, the baseball record analysis apparatus 100 may visualize and display the grade classification for each of the hit, batting average, victim hit, and contact success rate among accuracy variables for generating the accuracy index of the corresponding baseball player.

In addition, the baseball record analysis apparatus 100 may visualize and display the rating classification for each of walk, strikeout, walk/strikeout, and strikeout rate among the first eye variables for generating the first eye index of the corresponding baseball player. In addition, the baseball record analysis apparatus 100 may visualize and display the classification for each of stolen bases, triples, scoring, and on-base rate among the running base variables for generating the running base index of the corresponding baseball player. In addition, the baseball record analysis apparatus 100 can visualize and display the grade classification for each of the number of games, RBI, home run, and OPS (slugging rate + on-base rate) among the star variables for generating the star rating index of the baseball player. have.

4 is a view showing another embodiment of providing baseball player analysis information in the apparatus 100 for analyzing baseball records of the present invention.

Referring to FIG. 4A , the baseball record analyzing apparatus 100 may provide data analyzed for each season by comparing the batting average of the baseball player corresponding to the information provision request with the league average.

Referring to FIG. 4B , the baseball record analyzing apparatus 100 may provide data analyzed for each season of the baseball player's slugging percentage, on-base percentage, and OPS (slugging percentage + on-base percentage) corresponding to the information provision request.

5 is a block diagram illustrating and describing a computing environment 10 including a computing device suitable for use in example embodiments. In the illustrated embodiment, each component may have different functions and capabilities other than those described below, and may include additional components in addition to those described below.

The illustrated computing environment 10 includes a computing device 12 . In one embodiment, computing device 12 may be baseball record analysis device 100 .

Computing device 12 includes at least one processor 14 , computer readable storage medium 16 , and communication bus 18 . The processor 14 may cause the computing device 12 to operate in accordance with the exemplary embodiments discussed above. For example, the processor 14 may execute one or more programs stored in the computer-readable storage medium 16 . The one or more programs may include one or more computer-executable instructions that, when executed by the processor 14, configure the computing device 12 to perform operations in accordance with the exemplary embodiment. can be

Computer-readable storage medium 16 is configured to store computer-executable instructions or program code, program data, and/or other suitable form of information. The program 20 stored in the computer readable storage medium 16 includes a set of instructions executable by the processor 14 . In one embodiment, computer-readable storage medium 16 includes memory (volatile memory, such as random access memory, non-volatile memory, or a suitable combination thereof), one or more magnetic disk storage devices, optical disk storage devices, flash It may be memory devices, other forms of storage medium accessed by computing device 12 and capable of storing desired information, or a suitable combination thereof.

Communication bus 18 interconnects various other components of computing device 12 , including processor 14 and computer readable storage medium 16 .

Computing device 12 may also include one or more input/output interfaces 22 and one or more network communication interfaces 26 that provide interfaces for one or more input/output devices 24 . The input/output interface 22 and the network communication interface 26 are coupled to the communication bus 18 . Input/output device 24 may be coupled to other components of computing device 12 via input/output interface 22 . Exemplary input/output device 24 may include a pointing device (such as a mouse or trackpad), a keyboard, a touch input device (such as a touchpad or touchscreen), a voice or sound input device, various types of sensor devices, and/or imaging devices. input devices, and/or output devices such as display devices, printers, speakers and/or network cards. The exemplary input/output device 24 may be included in the computing device 12 as a component constituting the computing device 12 , and may be connected to the computing device 12 as a separate device distinct from the computing device 12 . may be

Although representative embodiments of the present invention have been described in detail above, those of ordinary skill in the art to which the present invention pertains will understand that various modifications are possible within the limits without departing from the scope of the present invention with respect to the above-described embodiments. . Therefore, the scope of the present invention should not be limited to the described embodiments, and should be defined by the claims described below as well as the claims and equivalents.

100: baseball record analysis device
102: data acquisition module
104: stat coefficient calculation module
106: analysis index generation module
106a: typing analysis index generation unit
106b: pitcher analysis index generation unit
108: statistical analysis module
110: information providing module

Claims (9)

one or more processors, and
A computing device having a memory to store one or more programs executed by the one or more processors, the computing device comprising:
a data collection module for collecting identification-related information and basic record information for each baseball player;
a stat coefficient calculation module for calculating preset stat coefficient information based on the basic record information of each baseball player; and
Computing device comprising an analysis index generating module for generating a preset analysis index based on the basic record information and the stat coefficient information of each baseball player.
The method according to claim 1,
The analysis index generation module,
When the player is a batter, a batter analysis index generating unit that generates a batter analysis index including a power index, star rating index, pioneering eye index, accuracy index, and a running base index; and
A computing device comprising: a pitcher analysis index generator configured to generate an innings digestibility index, a ball control index, a control index, a strikeout index, and a batted ball suppression index if the player is a pitcher.
3. The method according to claim 2,
The power index is at least one of hits, doubles, triples, home runs, RBIs, runs, roulettes, slugging, slugging percentage, net slugging percentage, estimated points, points production, points production compared to league average, and victory contribution compared to substitute players. created based on
The star rating index is generated based on one or more of the number of games, at bats, at bats, hits, singles, doubles, RBI, runs, stolen bases, walks, four balls, strikeouts, routes, long hits, estimated runs, and score production and
The pioneering index is generated based on at least one of strikeouts, strikeout-to-walk ratios, strikeout rates, and contact success rates,
The accuracy index is based on at least one of batting average, slugging percentage, on-base percentage, net slugging percentage, contact success rate, GPA (Gross Production Average), estimated points, points production, weighted on-base percentage, points production compared to league average, and victory contribution compared to replacement players to create,
The base base index is generated based on at least one of stolen bases, walks, four balls, on-base percentage, strikeouts to walks ratio, estimated points, score production compared to league average, and victory contribution compared to replacement players, computing device.
4. The method according to claim 3,
The typing analysis index generator is configured to generate the power index, the star star index, the vision index, the accuracy index, and the running index, respectively, through Equations 1 to 5 below.
(Equation 1)
Power index = (1st power weight x hits) + (2nd power weight x doubles) + (3rd power weight x triples) + (4th power weight x home runs) + (5th power weight x RBI) + (6th power weight × RBI) + (7th power weight × scoring) + (8th power weight × roux) + (9th power weight × long hitting) + (10th power weight × slugging rate) + (11th power weight) ×Net slugging percentage) + (12th power weight × estimated points) + (13th power weight × score production) + (14th power weight × score production compared to league average) + (15th power weight × victory contribution to substitute players)
(Equation 2)
Starness index = (1st star weight × number of games) + (2nd star weight × at bats) + (3rd star weight × number of at-bats) + (4th star weight × hits) + (5th star rating) Weight x 1 base) + (6th star weight x 2) + (7th star weight x RBI) + (8th star weight x score) + (9th star weight x stolen base) + (10th) Star weight x walk) + (11th star weight x 4 balls) + (12th star weight x strikeout) + (13th star weight x roux) + (14th star weight x long hit) + (15th) Star weight × estimated score) + (16th star weight × score production)
(Equation 3)
Leading eye index = - (1st leading eye weight × striking out) + (2nd leading eye weight × striking out ratio to walk) - (3rd leading eye weight × strikeout rate) + (4th leading eye weight × contact success rate)
(Equation 4)
Accuracy index = (1st accuracy weight × batting average) + (2nd accuracy weight × slugging percentage) + (3rd accuracy weight × on-base percentage) + (4th accuracy weight × net slugging percentage) + (5th accuracy weight × contact success rate) + (6th accuracy weight × GPA) + (7th accuracy weight × estimated score) + (8th accuracy weight × score production) + (9th accuracy weight × weighted on-base percentage) + (10th accuracy weight × league average score production) ) + (11th Accuracy Weight × Victory Contribution to Substitutes)
(Equation 5)
Base base index = (1st base base weight x stolen base) + (2 base base weight x walk) + (3 base base weight x 4 balls) + (4 base base weight x on base rate) + (5 base base weight x strikeout to walk ratio) + (6th base base weight × estimated points) + (7th base base weight × score production compared to league average) + (8th base base weight × victory contribution to substitute players)
3. The method according to claim 2,
wherein the inning digestibility index is generated based on at least one of an on-base percentage per inning, assists, batting average, on-base percentage, and innings;
The pitch index is generated based on one or more of strikeouts per inning, number of games, bats at bats, total hits, batted singles, doubles bled, bats fetched, runs scored, stolen bases, dead balls, and strikeouts,
The control index is generated based on one or more of the number of walks versus strikeouts, the number of walks per inning, goals scored, and intentional four balls,
The strikeout index is generated based on at least one of strikeouts per at-bat, the number of wasted swings, the on-base percentage, and the net slugging percentage,
The batted ball suppression index is generated based on at least one of a hit ratio, a slugging batting average, an ERA, a win, an error, and a win contribution relative to a substitute player of an in-play batted ball.
6. The method of claim 5,
The pitcher analysis index generation unit, the inning digestibility index, the ball position index, the control power index, the strikeout index, and the batted ball suppression index through the following Equations 6 to 10, respectively, a computing device for generating.
(Equation 6)
Inner innings index = (1st inning digestibility weight × on-base percentage per inning) + (2nd inning digestibility weight × assists) + (3rd inning digestibility weight × slugging percentage) + (4th inning digestibility weight × on-base percentage) + (5th inning digestibility weight × innings)
(Equation 7)
Pitch index = (1st pitch weight×number of strikeouts per inning) + (2nd pitch weight×number of games) + (3rd pitch weight×number of hits) + (4th pitch weight×total hits) + (5th pitch) Weight×P1) + (6th position weight×P2) + (7th position weight×Peeta point) + (8th position weight×Scored) + (9th position weight×Fido base) + (No. 10 position weight × dead ball) + (11th position weight × strikeout)
(Equation 8)
Control index = (1st control weight × number of walks per strikeout) - (2nd control weight × number of walks per inning) + (3rd control weight × goals scored) + (4th control weight × intentional death ball)
(Equation 9)
Strikeout Index = (1st strikeout weight × strikeouts per at-bat) + (2nd strikeout weight × number of wasted swings) + (3rd strikeout weight × on-base percentage) + (4th strikeout weight × batting average)
(Equation 10)
Hit-ball suppression index = (1st batted suppression weight × hit ratio of in-play batted balls) + (2nd batted restraint weight × slugging batting rate) + (3rd batted restraint weight × defense rate) + (4th batted suppression weight × win) + ( 5th batted ball restraint weight × error) + (6th batted ball restraint weight × victory contribution to substitute players)
3. The method according to claim 2,
The computing device,
Statistical analysis module for performing statistical analysis on at least one of the analysis index of each baseball player and the analysis variable of each analysis index, and performing grade classification on at least one of the analysis index by analysis index and by analysis variable of the analysis index further comprising a computing device.
9. The method of claim 8,
The computing device,
Further comprising an information providing module that visualizes and displays one or more of an analysis index of a player corresponding to the information provision request according to a user's information provision request, a grade by the analysis index, and a grade by analysis variable of the analysis index, computing device.
one or more processors, and
A method performed in a computing device having a memory storing one or more programs to be executed by the one or more processors, the method comprising:
collecting identification-related information and basic record information for each baseball player;
calculating preset stat coefficient information based on the basic record information of each baseball player; and
A baseball record analysis method comprising the operation of generating a preset analysis index based on the basic record information of each baseball player and the stat coefficient information.

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