Journal of Quantitative Analysis in Sports最新文献_第5页

‘Form is temporary, class is permanent’: identifying a longer-term hot hand in golf “状态是暂时的，水平是永久的”:识别高尔夫球的长期热手

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Journal of Quantitative Analysis in Sports Pub Date : 2022-12-01 DOI: 10.1515/jqas-2022-0051

R. Baker, Ian G. McHale

引用次数: 0

Modelling Australian Rules Football as spatial systems with pairwise comparisons 模拟澳式足球规则的空间系统与两两比较

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Journal of Quantitative Analysis in Sports Pub Date : 2022-12-01 DOI: 10.1515/jqas-2021-0035

Anton Andreacchio, N. Bean, Lewis Mitchell

{"title":"Modelling Australian Rules Football as spatial systems with pairwise comparisons","authors":"Anton Andreacchio, N. Bean, Lewis Mitchell","doi":"10.1515/jqas-2021-0035","DOIUrl":"https://doi.org/10.1515/jqas-2021-0035","url":null,"abstract":"Abstract Statistical analysis in competitive sport is an important tool for developing strategy and seeking competitive advantages. However, for complex team sports such as Australian Rules Football, major limitations occur when using possession event data for game analysis. First, focusing on counting possession events does not capture the impact of off-the-ball actions such as ground positioning of other players. Second, it is difficult to determine the extent that an event is due to either team’s relative proficiency or skill. Third, there is limited possession event data available from each match and modelling efforts often have low statistical power. Here we reinterpret event data into positional systems and utilise pairwise performance metrics to understand the relative team proficiency in each of these states. These metrics can then be used to construct transition probabilities between states for future games, and ultimately, absorbing probabilities of goal states. Our approach effectively predicts match outcomes using team ratings for forward, midfield and defensive systems and is sufficiently interpretable to support strategic decision-making by coaching departments in the Australian Football League (AFL).","PeriodicalId":16925,"journal":{"name":"Journal of Quantitative Analysis in Sports","volume":"32 1","pages":"215 - 226"},"PeriodicalIF":0.8,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72969644","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 modelling of elite sporting performance with large databases 基于大型数据库的精英运动表现贝叶斯模型

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Journal of Quantitative Analysis in Sports Pub Date : 2022-12-01 DOI: 10.1515/jqas-2021-0112

J. Griffin, Laurentiu C. Hinoveanu, J. Hopker

引用次数: 1

Jumping on the bandwagon? Attendance response to recent victories in the NBA 赶时髦?上座率对最近NBA胜利的反应

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Journal of Quantitative Analysis in Sports Pub Date : 2022-10-28 DOI: 10.1515/jqas-2020-0092

Ercio Munoz, Jiadi Chen, Milan Thomas

引用次数: 0

A Bayesian analysis of the time through the order penalty in baseball 棒球比赛中顺序罚球时间的贝叶斯分析

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Journal of Quantitative Analysis in Sports Pub Date : 2022-10-13 DOI: 10.1515/jqas-2022-0116

Ryan S. Brill, Sameer K. Deshpande, A. Wyner

引用次数: 2

Quantifying the impact of imbalanced groups in FIFA Women’s World Cup tournaments 1991–2019 量化1991-2019年国际足联女足世界杯比赛中不平衡小组的影响

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Journal of Quantitative Analysis in Sports Pub Date : 2022-09-01 DOI: 10.1515/jqas-2021-0052

Michael A. Lapré, Elizabeth M. Palazzolo

引用次数: 2

A goal based index to analyze the competitive balance of a football league 一个基于进球的指标来分析足球联赛的竞争平衡

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Journal of Quantitative Analysis in Sports Pub Date : 2022-09-01 DOI: 10.1515/jqas-2021-0015

S. Deb

{"title":"A goal based index to analyze the competitive balance of a football league","authors":"S. Deb","doi":"10.1515/jqas-2021-0015","DOIUrl":"https://doi.org/10.1515/jqas-2021-0015","url":null,"abstract":"Abstract Competitive balance in a football league is extremely important from the perspective of economic growth of the industry. Many researchers have earlier proposed different measures of competitive balance, which are primarily adapted from standard economic theory. However, these measures fail to capture the finer nuances of the game. In this work, we discuss a new framework which is more suitable for a football league. First, we present a mathematical proof of a theoretically optimal situation where a football league becomes perfectly balanced. Next, a goal based index for competitive balance is developed. We present relevant theoretical results and show how the proposed index can be used to formally test for the presence of imbalance. The methods are implemented on the data from the top five European leagues, and it shows that the new approach can be helpful in explaining the changes in the seasonal competitive balance of the leagues. Further, using panel data models, we show that the proposed index is more suitable to analyze the variability in total revenues of the football leagues. We also discuss how the methods can be easily extended to develop other goal-based indices under different modeling assumptions.","PeriodicalId":16925,"journal":{"name":"Journal of Quantitative Analysis in Sports","volume":"60 7 1","pages":"171 - 186"},"PeriodicalIF":0.8,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86799945","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

Pitching strategy evaluation via stratified analysis using propensity score 用倾向得分分层分析评价投球策略

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Journal of Quantitative Analysis in Sports Pub Date : 2022-08-06 DOI: 10.1515/jqas-2021-0060

Hiroshi Nakahara, K. Takeda, Keisuke Fujii

{"title":"Pitching strategy evaluation via stratified analysis using propensity score","authors":"Hiroshi Nakahara, K. Takeda, Keisuke Fujii","doi":"10.1515/jqas-2021-0060","DOIUrl":"https://doi.org/10.1515/jqas-2021-0060","url":null,"abstract":"Abstract Recent measurement technologies enable us to analyze baseball at higher levels of complexity. There are, however, still many unclear points around pitching strategy. There are two elements that make it difficult to measure the effect of a pitching strategy. First, most public datasets do not include location data where the catcher demands a ball, which is essential information to obtain the battery’s intent. Second, there are many confounders associated with pitching/batting results when evaluating pitching strategy. We here clarify the effect of pitching attempts to a specific location, e.g., inside or outside. We employ a causal inference framework called stratified analysis using a propensity score to evaluate the effects while removing the effect of confounding factors. We use a pitch-by-pitch dataset of Japanese professional baseball games held in 2014–2019, which includes location data where the catcher demands a ball. The results reveal that an outside pitching attempt is more effective than an inside one to minimize allowed run average. In addition, the stratified analysis shows that the outside pitching attempt is effective regardless of the magnitude of the estimated batter’s ability, and the proportion of pitched inside for pitcher/batter. Our analysis provides practical insights into selecting a pitching strategy to minimize allowed runs.","PeriodicalId":16925,"journal":{"name":"Journal of Quantitative Analysis in Sports","volume":"17 1","pages":"91 - 102"},"PeriodicalIF":0.8,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83392430","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

Does the ball lie? Testing the Rasheed Wallace hypothesis 球是躺着的吗?验证拉希德·华莱士的假设

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Journal of Quantitative Analysis in Sports Pub Date : 2022-06-01 DOI: 10.1515/jqas-2020-0020

B. Meehan, Javier E. Portillo, Corey Jenkins

{"title":"Does the ball lie? Testing the Rasheed Wallace hypothesis","authors":"B. Meehan, Javier E. Portillo, Corey Jenkins","doi":"10.1515/jqas-2020-0020","DOIUrl":"https://doi.org/10.1515/jqas-2020-0020","url":null,"abstract":"Abstract Former NBA all-star forward Rasheed Wallace popularized the catchphrase “Ball Don’t Lie.” Rasheed would often shout this after an opponent missed a free throw. It was used by Rasheed to illustrate the mental impact on a free throw shooter from knowing the foul was questionable and its impact on likelihood of converting the ensuing free throw. The tendency to miss free throws associated with questionable foul calls—or the propensity for the ball to miss—would be followed by Rasheed’s “Ball Don’t Lie!” exclamation. This paper aims to test whether the ball was less likely to go through the hoop during free throws following questionable foul calls. We use a proxy to identify the questionableness of a foul call, one that Rasheed Wallace was very familiar with—whenever the original shooting foul was immediately followed by a technical foul. This proxy is meant to capture player and coach reactions to a shooting foul call. If the call was bad, or questionable, we expect more outrage from the team the foul was called on, which tends to draw technical fouls. Our findings do not support Rasheed’s prediction; the propensity to make a shooting foul free throw does not appear to change after a technical. In fact, using a subset of our data period under which the NBA changed technical foul rules to target complaining about foul calls, we find a small increase in free throw percentage after a technical foul call.","PeriodicalId":16925,"journal":{"name":"Journal of Quantitative Analysis in Sports","volume":"77 1","pages":"87 - 95"},"PeriodicalIF":0.8,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90925597","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

Clustering algorithms to increase fairness in collegiate wrestling 提高大学摔跤公平性的聚类算法

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Journal of Quantitative Analysis in Sports Pub Date : 2022-06-01 DOI: 10.1515/jqas-2020-0101

N. Carter, A. Harrison, Amar Iyengar, M. Lanham, Scott T. Nestler, Dave Schrader, Amir Zadeh

引用次数: 0