Journal of Sports Analytics最新文献_第9页

Modelling the financial contribution of soccer players to their clubs 模拟足球运动员对俱乐部的经济贡献

IF 1.1

Journal of Sports Analytics Pub Date : 2019-01-01 DOI: 10.3233/JSA-170235

Olav Drivenes Sæbø, L. M. Hvattum

引用次数: 13

Factors influencing scoring in the NBA Slam Dunk Contest 影响NBA扣篮大赛得分的因素

IF 1.1

Journal of Sports Analytics Pub Date : 2019-01-01 DOI: 10.3233/JSA-190242

J. Barber, Evan S. Rollins

引用次数: 0

Fans’ responses to the National Basketball Association’s (NBA) pilot jersey sponsorship program: An experimental approach 球迷对美国国家篮球协会(NBA)试行球衣赞助计划的反应:一种实验性的方法

IF 1.1

Journal of Sports Analytics Pub Date : 2019-01-01 DOI: 10.3233/JSA-180250

D. Kwak, S. Pradhan

引用次数: 0

What was lost? A causal estimate of fourth down behavior in the National Football League 丢失了什么?国家橄榄球联盟第四次进攻行为的因果估计

IF 1.1

Journal of Sports Analytics Pub Date : 2019-01-01 DOI: 10.3233/JSA-190294

D. Yam, Michael J. Lopez

引用次数: 14

A metric to measure dynamic competitive balance with respect to prize concentration 衡量与奖励集中有关的动态竞争平衡的度量

IF 1.1

Journal of Sports Analytics Pub Date : 2019-01-01 DOI: 10.3233/JSA-180323

F. D’Ottaviano

引用次数: 0

The advantage of experience: Analyzing the effects of player experience on the performances of March Madness Teams 经验优势:分析球员经验对疯狂三月球队表现的影响

IF 1.1

Journal of Sports Analytics Pub Date : 2019-01-01 DOI: 10.3233/JSA-180331

N. D. Pifer, Timothy D. DeSchriver, T. Baker, James J. Zhang

{"title":"The advantage of experience: Analyzing the effects of player experience on the performances of March Madness Teams","authors":"N. D. Pifer, Timothy D. DeSchriver, T. Baker, James J. Zhang","doi":"10.3233/JSA-180331","DOIUrl":"https://doi.org/10.3233/JSA-180331","url":null,"abstract":"Every March a sample of the top Division I men’s basketball programs in the National Collegiate Athletic Association (NCAA) gather to compete in March Madness, a grueling single elimination tournament that captures the attention of millions of viewers and shines a prominent spotlight on the 68 teams that are competing for college basketball’s national championship. Interspersed amongst the numerous financial incentives that exist for each university, and the millions of dollars that are wagered on brackets and bets, are the suggestions of media members, coaches, and players as to which factors are important to teams in their quest for success. One common suggestion argues that player experience provides a benefit to teams as they attempt to handle the pressure and maintain their composure amidst one of the most hectic postseasons in all of sport. However, there have been few studies conducted to analyze the effects that the two primary categories of player experience (i.e., prior postseason experience and class rank) have on the performances of March Madness teams. Therefore, this study sought to test the validity of the assumption by using a series of empirical models to analyze player performance and experience data from the 693 games that took place during the 2007 to 2017 March Madness tournaments. The findings suggest that simply having a higher class rank than an opponent offers no discernible advantage at any stage of the competition, but that possessing more prior March Madness experience may significantly improve a team’s margin of victory in the later rounds. 8","PeriodicalId":53203,"journal":{"name":"Journal of Sports Analytics","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JSA-180331","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70124532","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: 2

An analysis of curling using a three-dimensional Markov model 用三维马尔可夫模型分析冰壶运动

IF 1.1

Journal of Sports Analytics Pub Date : 2019-01-01 DOI: 10.3233/JSA-180279

Paul Brenzel, W. Shock, Harvey Yang

引用次数: 1

A closer look at the prevalence of time rule violations and the inter-point time in men’s Grand Slam tennis 近距离观察在男子大满贯中普遍存在的违反时间规则和点间时间

IF 1.1

Journal of Sports Analytics Pub Date : 2019-01-01 DOI: 10.3233/JSA-180277

Otto Kolbinger, Simon Großmann, M. Lames

{"title":"A closer look at the prevalence of time rule violations and the inter-point time in men’s Grand Slam tennis","authors":"Otto Kolbinger, Simon Großmann, M. Lames","doi":"10.3233/JSA-180277","DOIUrl":"https://doi.org/10.3233/JSA-180277","url":null,"abstract":"Paragraph 29a of the official ITF Rules of Tennis sets a limit of 20 seconds for the time players can take between points. This study investigates the prevalence of violations of this rule, the corresponding umpire’s behavior and factors that influence the inter-point time in general. Regression analysis of 3475 serves of the 2016 Australian Open Men’s Singles tournament showed an autonomous influence on the variance of the inter-point for the serving player, the duration of the previous rally, the service game, the current scoring streak and the importance of the point. The average time between points was 21.5 seconds and time rule violations were found for 58.5% of the serves. Only two (0.1%) of these rule violations were penalized by the umpire, with the punished incidents occurring after 23.5 and 25.6 seconds, representing the 65.9th and the 78.1th percentile respectively of the detected inter-point times. Thus, we concluded that the current rule is not just applied too lax but also capriciously. Based on the detected influences on the time between points we suggest various adaptions of the rule, e.g. a dynamic time limit based on the duration of the previous rally, as well as ways to improve the enforcement of the rule, e.g. technological officiating aids.","PeriodicalId":53203,"journal":{"name":"Journal of Sports Analytics","volume":"35 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JSA-180277","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70124641","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: 7

Are daily fantasy sports gambling? 每日梦幻体育是赌博吗?

IF 1.1

Journal of Sports Analytics Pub Date : 2019-01-01 DOI: 10.3233/JSA-180240

T. Easton, S. Newell

引用次数: 9

A development model to guide the recruiting of female shot putters at the NCAA Division I Championship level 指导NCAA一级锦标赛女子铅球运动员招募的发展模式

IF 1.1

Journal of Sports Analytics Pub Date : 2019-01-01 DOI: 10.3233/JSA-180275

D. Babbitt

{"title":"A development model to guide the recruiting of female shot putters at the NCAA Division I Championship level","authors":"D. Babbitt","doi":"10.3233/JSA-180275","DOIUrl":"https://doi.org/10.3233/JSA-180275","url":null,"abstract":"Given the high stakes nature of NCAA athletics, it has become increasingly important for coaches to recruit athletes who can compete and make substantive contributions to a team’s success. The purpose of this study was to develop an analytic to predict the time it would take a high school female shot putter to contribute a score at the NCAA Championship meet based on her personal best high school performance. Performance data from high school and college performances were collected from NCAA women’s shot putters, who completed their eligibility from 2012–2017 (N = 63), and graphed to construct a trend line which plotted the top shot put performance of each individual from high school (y) against their best result from each of four or five years in collegiate competition (x). Strong correlations were found between high school and collegiate performance for the first three years of collegiate competition with statistical significance achieved at p < 0.0001. The correlation progressively decreased with each year of collegiate competition with years four and five of collegiate eligibility demonstrating a diminished statistical significance at p < 0.05. Minimum high school performances were calculated in order to produce a statistically significant result that could score for each place at the NCAA meet for a given amount of years competing in NCAA Division I track and field. The results provide track and field coaches with the first analytical model that can assist in determining a high school recruit’s ability to contribute valuable points at the most important competitions. 6","PeriodicalId":53203,"journal":{"name":"Journal of Sports Analytics","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JSA-180275","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70124187","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