Journal of Quantitative Analysis in Sports最新文献_第6页

Individual role classification for players defending corners in football (soccer) 足球角球防守队员的个人角色分类

IF 0.8

Journal of Quantitative Analysis in Sports Pub Date : 2022-06-01 DOI: 10.1515/jqas-2022-0003

Pascal Bauer, Gabriel Anzer, J. Smith

{"title":"Individual role classification for players defending corners in football (soccer)","authors":"Pascal Bauer, Gabriel Anzer, J. Smith","doi":"10.1515/jqas-2022-0003","DOIUrl":"https://doi.org/10.1515/jqas-2022-0003","url":null,"abstract":"Abstract Choosing the right defensive corner-strategy is a crucial task for each coach in professional football (soccer). Although corners are repeatable and static situations, due to their low conversion rates, several studies in literature failed to find useable insights about the efficiency of various corner strategies. Our work aims to fill this gap. We hand-label the role of each defensive player from 213 corners in 33 matches, where we then employ an augmentation strategy to increase the number of data points. By combining a convolutional neural network with a long short-term memory neural network, we are able to detect the defensive strategy of each player based on positional data. We identify which of seven well-established roles a defensive player conducted (player-marking, zonal-marking, placed for counterattack, back-space, short defender, near-post, and far-post). The model achieves an overall weighted accuracy of 89.3%, and in the case of player-marking, we are able to accurately detect which offensive player the defender is marking 80.8% of the time. The performance of the model is evaluated against a rule-based baseline model, as well as by an inter-labeller accuracy. We demonstrate that rules can also be used to support the labelling process and serve as a baseline for weak supervision approaches. We show three concrete use-cases on how this approach can support a more informed and fact-based decision making process.","PeriodicalId":16925,"journal":{"name":"Journal of Quantitative Analysis in Sports","volume":"14 1","pages":"147 - 160"},"PeriodicalIF":0.8,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82466879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bayesian estimation of in-game home team win probability for college basketball 大学篮球比赛中主队获胜概率的贝叶斯估计

IF 0.8

Journal of Quantitative Analysis in Sports Pub Date : 2022-04-25 DOI: 10.1515/jqas-2021-0086

Jason Maddox, Ryan Sides, Jane L. Harvill

引用次数: 2

Clustering of football players based on performance data and aggregated clustering validity indexes 基于成绩数据和聚类效度指标的足球运动员聚类

IF 0.8

Journal of Quantitative Analysis in Sports Pub Date : 2022-04-20 DOI: 10.1515/jqas-2022-0037

Serhat Emre Akhanli, C. Hennig

{"title":"Clustering of football players based on performance data and aggregated clustering validity indexes","authors":"Serhat Emre Akhanli, C. Hennig","doi":"10.1515/jqas-2022-0037","DOIUrl":"https://doi.org/10.1515/jqas-2022-0037","url":null,"abstract":"Abstract We analyse football (soccer) player performance data with mixed type variables from the 2014-15 season of eight European major leagues. We cluster these data based on a tailor-made dissimilarity measure. In order to decide between the many available clustering methods and to choose an appropriate number of clusters, we use the approach by Akhanli and Hennig (2020. “Comparing Clusterings and Numbers of Clusters by Aggregation of Calibrated Clustering Validity Indexes.” Statistics and Computing 30 (5): 1523–44). This is based on several validation criteria that refer to different desirable characteristics of a clustering. These characteristics are chosen based on the aim of clustering, and this allows to define a suitable validation index as weighted average of calibrated individual indexes measuring the desirable features. We derive two different clusterings. The first one is a partition of the data set into major groups of essentially different players, which can be used for the analysis of a team’s composition. The second one divides the data set into many small clusters (with 10 players on average), which can be used for finding players with a very similar profile to a given player. It is discussed in depth what characteristics are desirable for these clusterings. Weighting the criteria for the second clustering is informed by a survey of football experts.","PeriodicalId":16925,"journal":{"name":"Journal of Quantitative Analysis in Sports","volume":"12 1","pages":"103 - 123"},"PeriodicalIF":0.8,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87941458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Optical tracking in team sports 团队运动中的光学跟踪

IF 0.8

Journal of Quantitative Analysis in Sports Pub Date : 2022-03-01 DOI: 10.1515/jqas-2020-0088

Pegah Rahimian, László Toka

引用次数: 5

MSE-optimal K-factor of the Elo rating system for round-robin tournament 循环赛Elo评分系统的mse最优k因子

IF 0.8

Journal of Quantitative Analysis in Sports Pub Date : 2022-03-01 DOI: 10.1515/jqas-2021-0079

Victor S. Chan

引用次数: 0

Evaluating the performance of elite level volleyball players 优秀排球运动员竞技水平的评价

IF 0.8

Journal of Quantitative Analysis in Sports Pub Date : 2022-02-23 DOI: 10.1515/jqas-2021-0056

G. Fellingham

{"title":"Evaluating the performance of elite level volleyball players","authors":"G. Fellingham","doi":"10.1515/jqas-2021-0056","DOIUrl":"https://doi.org/10.1515/jqas-2021-0056","url":null,"abstract":"Abstract Evaluation of individuals in a team sport setting is inherently difficult. The level of play of one individual is fundamentally tied to the level of play of the teammates. One way to think about evaluation of individuals is to ‘insert’ the posterior distribution of the parameter that measures individual play into an ‘average’ team, and see how the probability of success (or failure) changes. Using a Bayesian hierarchical logistic model, we can estimate both the average contribution to success of various positions, and the individual contribution of all the players in that position. In this paper, we use data from the 2018 World Championships in Volleyball to model both the position played and the players within each position. Using both the posterior distributions for the mean performance of the different positions, and the posterior distributions for the individual players, we can then estimate the change in the number of points scored for a team with a change from an average player to the individual under consideration. We compute both the points scored above average per set (PAAPS) and the points scored above average per 100 touches (PP100) for 168 men and 168 women playing five different positions. Contributions of the various position groups and of individual players within each position are evaluated and compared.","PeriodicalId":16925,"journal":{"name":"Journal of Quantitative Analysis in Sports","volume":"1 1","pages":"15 - 34"},"PeriodicalIF":0.8,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89615955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Frontmatter

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Journal of Quantitative Analysis in Sports Pub Date : 2021-11-26 DOI: 10.1515/jqas-2021-frontmatter4

引用次数: 0

The effects of draw restrictions on knockout tournaments 抽签限制对淘汰赛的影响

IF 0.8

Journal of Quantitative Analysis in Sports Pub Date : 2021-10-26 DOI: 10.1515/jqas-2022-0061

L'aszl'o Csat'o

引用次数: 6

Judging the judges: evaluating the accuracy and national bias of international gymnastics judges 评判裁判:评价国际体操裁判的准确性和国家偏见

IF 0.8

Journal of Quantitative Analysis in Sports Pub Date : 2021-10-19 DOI: 10.1515/jqas-2019-0113

Sandro Heiniger, Hugues Mercier

{"title":"Judging the judges: evaluating the accuracy and national bias of international gymnastics judges","authors":"Sandro Heiniger, Hugues Mercier","doi":"10.1515/jqas-2019-0113","DOIUrl":"https://doi.org/10.1515/jqas-2019-0113","url":null,"abstract":"Abstract We design, describe and implement a statistical engine to analyze the performance of gymnastics judges with three objectives: (1) provide constructive feedback to judges, executive committees and national federations; (2) assign the best judges to the most important competitions; (3) detect bias and persistent misjudging. Judging a gymnastics routine is a random process, and we model this process using heteroscedastic random variables. The developed marking score scales the difference between the mark of a judge and the true performance level of a gymnast as a function of the intrinsic judging error variability estimated from historical data for each apparatus. This dependence between judging variability and performance quality has never been properly studied. We leverage the intrinsic judging error variability and the marking score to detect outlier marks and study the national bias of judges favoring athletes of the same nationality. We also study ranking scores assessing to what extent judges rate gymnasts in the correct order. Our main observation is that there are significant differences between the best and worst judges, both in terms of accuracy and national bias. The insights from this work have led to recommendations and rule changes at the Fédération Internationale de Gymnastique.","PeriodicalId":16925,"journal":{"name":"Journal of Quantitative Analysis in Sports","volume":"6 1","pages":"289 - 305"},"PeriodicalIF":0.8,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74966788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

A Markov process approach to untangling intention versus execution in tennis 一种马尔可夫过程方法来解开网球中意图与执行的纠缠

IF 0.8

Journal of Quantitative Analysis in Sports Pub Date : 2021-10-04 DOI: 10.1515/jqas-2021-0077

Timothy C. Y. Chan, Douglas Fearing, Craig Fernandes, S. Kovalchik

{"title":"A Markov process approach to untangling intention versus execution in tennis","authors":"Timothy C. Y. Chan, Douglas Fearing, Craig Fernandes, S. Kovalchik","doi":"10.1515/jqas-2021-0077","DOIUrl":"https://doi.org/10.1515/jqas-2021-0077","url":null,"abstract":"Abstract Value functions are used in sports to determine the optimal action players should employ. However, most literature implicitly assumes that players can perform the prescribed action with known and fixed probability of success. The effect of varying this probability or, equivalently, “execution error” in implementing an action (e.g., hitting a tennis ball to a specific location on the court) on the design of optimal strategies, has received limited attention. In this paper, we develop a novel modeling framework based on Markov reward processes and Markov decision processes to investigate how execution error impacts a player’s value function and strategy in tennis. We power our models with hundreds of millions of simulated tennis shots with 3D ball and 2D player tracking data. We find that optimal shot selection strategies in tennis become more conservative as execution error grows, and that having perfect execution with the empirical shot selection strategy is roughly equivalent to choosing one or two optimal shots with average execution error. We find that execution error on backhand shots is more costly than on forehand shots, and that optimal shot selection on a serve return is more valuable than on any other shot, over all values of execution error.","PeriodicalId":16925,"journal":{"name":"Journal of Quantitative Analysis in Sports","volume":"7 1","pages":"127 - 145"},"PeriodicalIF":0.8,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89110515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1