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baseball 16 football 9 soccer 7 basketball 6 college football 5 golf 5 performance 5 competitive balance 4 game theory 4 probability 4 ratings 4 sports statistics 4 statistics 4 NFL 3 cluster analysis 3 home advantage 3 passing 3 ranking 3 simulation 3 strategy 3 volleyball 3 ANOVA 2 BCS 2 Bayesian hierarchical model 2 Gibbs sampler 2 Hall of Fame 2 MCMC 2 Markov chain 2 Monte Carlo 2 NCAA basketball 2 bias 2 formation 2 game-long process 2 hockey 2 modeling 2 multiple regression 2 offensive baseball performance 2 paired comparison 2 prediction 2 quantitative reasoning 2
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Undetermined 447
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Article 447
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Undetermined 446 English 1
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Jensen Shane T. 6 James, Piette 5 Alamar, Benjamin 4 Annis David H. 4 Annis, David 4 Jim, Albert 4 Joel, Oberstone 4 Nobuyoshi, Hirotsu 4 Ray, Stefani 4 W, Fellingham Gilbert 4 A, Yates Philip 3 Alexander, Braunstein 3 Ann, Kovalchik Stephanie 3 B, Jones Marshall 3 Brian, Macdonald 3 C, Alamar Benjamin 3 C, Thomas Andrew 3 Costa, Constantinou Anthony 3 D, Noubary Reza 3 Drew, Pasteur R. 3 Elliott, Fenton Norman 3 Fellingham Gilbert W. 3 Fellingham, Gilbert 3 J, Bracewell Paul 3 Rendleman Richard J. 3 Swartz Tim B. 3 Vittorio, Addona 3 West, Brady 3 Andreas, Groll 2 Andrew, Hoegh 2 Anthony, Bedford 2 Anthony, Kay 2 B, Swartz Tim 2 Baumer, Ben 2 Benjamin, Alamar 2 Bracewell, Paul 2 Brad, Null 2 Brian, Skinner 2 Cheng Edward K. 2 Connolly Robert A. 2
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Journal of Quantitative Analysis in Sports 447
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RePEc 447
Showing 151 - 160 of 447
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The ISOPAR Method: A New Approach to Performance Analysis in Golf
Michael, Stöckl; F, Lamb Peter; Martin, Lames - In: Journal of Quantitative Analysis in Sports 7 (2011) 1, pp. 1-17
Classical performance analysis techniques in golf have focused on classes of shots, such as putting, driving, etc. Because these measures remove shots from their original context within the round, such measures do not describe a player's ability to perform a specific type of shot. Rather, these...
Persistent link: https://www.econbiz.de/10008831502
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How to Catch a Tiger: Understanding Putting Performance on the PGA TOUR
Douglas, Fearing; Jason, Acimovic; C, Graves Stephen - In: Journal of Quantitative Analysis in Sports 7 (2011) 1, pp. 1-47
Existing performance metrics utilized by the PGA TOUR have biases towards specific styles of play, which make relative player comparisons challenging. Our goal is to evaluate golfers in a way that eliminates these biases and to better understand how the best players maintain their...
Persistent link: https://www.econbiz.de/10008831503
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Optimal Targets for the Bank Shot in Men's Basketball
M, Silverberg Larry; M, Tran Chau; M, Adams Taylor - In: Journal of Quantitative Analysis in Sports 7 (2011) 1, pp. 1-19
The purpose of this study was to gain an understanding of the bank shot and ultimately determine the optimal target points on the backboard for the bank shot in mens basketball. The study used over one million three-dimensional simulations of basketball trajectories. Four launch variables were...
Persistent link: https://www.econbiz.de/10008831504
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Socioeconomic Predictors of the 2010 FIFA World Cup
Stephen, Imperiale-Hagerman - In: Journal of Quantitative Analysis in Sports 7 (2011) 1, pp. 1-13
A country's size in terms of population and economic status play a major role in the resources available to a national soccer team. Additionally, the national expectations for the team define what a successful result is. The purpose of this paper is to present a prediction for the 2010...
Persistent link: https://www.econbiz.de/10008831505
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Comparing Team Performance of the English Premier League, Serie A, and La Liga for the 2008-2009 Season
Joel, Oberstone - In: Journal of Quantitative Analysis in Sports 7 (2011) 1, pp. 1-18
Three of the most celebrated football leagues in the world include the English Premier League (EPL), Italys Serie A, and Spains La Liga. To date, little football research has been conducted that attempts to determine why these leagues are so successful. What is it that the EPL, La Liga, and...
Persistent link: https://www.econbiz.de/10008831506
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Model Averaging in Factor Analysis: An Analysis of Olympic Decathlon Data
Michael, Schomaker; Christian, Heumann - In: Journal of Quantitative Analysis in Sports 7 (2011) 1, pp. 1-15
This article presents a multivariate analysis of Olympic decathlon data based on maximum likelihood factor analysis. All results explicitly account for model selection uncertainty, which is inherent in any data-based selection process but mostly ignored in reports related to multivariate sports...
Persistent link: https://www.econbiz.de/10008831507
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Yellow Cards: Do They Matter?
Anne, Anders; W, Rotthoff Kurt - In: Journal of Quantitative Analysis in Sports 7 (2011) 1, pp. 1-12
Using data from the Bundesliga, the top German football league (American soccer), we analyze the effects of yellow and red cards on the probability of victory for a team. For the team receiving the cards, we find that yellow and red cards decrease the probability of victory. However, the number...
Persistent link: https://www.econbiz.de/10008831508
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Study of the Technical and Tactical Variables Determining Set Win or Loss in Top-Level European Men's Volleyball
David, Rodriguez-Ruiz; Quiroga Miriam E.; Miralles Jose A. - In: Journal of Quantitative Analysis in Sports 7 (2011) 1, pp. 1-15
This study analyzes the terminating actions (serve, attack, block and opponent error) resulting in point scoring for each team. These actions are then taken as reference indicators for observing the possibility of winning or losing a set in an elite mens volleyball competition. A total of 45...
Persistent link: https://www.econbiz.de/10008831509
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Having the Second Leg at Home - Advantage in the UEFA Champions League Knockout Phase?
Eugster Manuel J. A.; Jan, Gertheiss; Sebastian, Kaiser - In: Journal of Quantitative Analysis in Sports 7 (2011) 1, pp. 1-11
In soccer knockout ties, which are played in a two-legged format, the team having the return match at home is usually seen as advantaged. For checking this common belief, we analyzed matches of the UEFA Champions League knockout phase since 1994/1995. It is shown that the observed differences in...
Persistent link: https://www.econbiz.de/10008831510
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Adjusting Winning-Percentage Standard Deviations and a Measure of Competitive Balance for Home Advantage
A, Trandel Gregory; G, Maxcy Joel - In: Journal of Quantitative Analysis in Sports 7 (2011) 1, pp. 1-17
One measure of sports league competitive balance uses a ratio: the standard deviation of team winning percentages is divided by the so-called ideal standard deviation, which assumes a game between evenly-skilled teams is equally likely to be won by either team. In fact, a team is more likely to...
Persistent link: https://www.econbiz.de/10008831511
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