Journal of Quantitative Analysis in Sports
2005 - 2018
Current editor(s): Mark Glickman
From De Gruyter
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Volume 14, issue 4, 2018
- New metrics for evaluating home plate umpire consistency and accuracy pp. 159-172
- Hunter David J.
- Predicting the NCAA basketball tournament using isotonic least squares pairwise comparison model pp. 173-183
- Neudorfer Ayala and Rosset Saharon
- Do match officials give preferential treatment to the strongest football teams? An analysis of four top European clubs pp. 185-199
- Audrino Francesco
- Analyzing dependence matrices to investigate relationships between national football league combine event performances pp. 201-212
- Russell Brook T. and Hogan Paul
- A generative Markov model for bowling scores pp. 213-226
- VanDerwerken Douglas and Kenter Franklin
Volume 14, issue 3, 2018
- A network diffusion ranking family that includes the methods of Markov, Massey, and Colley pp. 91-101
- Devlin Stephen and Treloar Thomas
- Quantifying the probability of a shot in women’s collegiate soccer through absorbing Markov chains pp. 103-115
- Woodfield Devyn Norman and Fellingham Gilbert W.
- Modelling the dynamic pattern of surface area in basketball and its effects on team performance pp. 117-130
- Metulini Rodolfo, Manisera Marica and Zuccolotto Paola
- A Bayesian regression approach to handicapping tennis players based on a rating system pp. 131-141
- Chan Timothy C.Y. and Singal Raghav
- Bayesian hierarchical models for predicting individual performance in soccer pp. 143-157
- Egidi Leonardo and Gabry Jonah
Volume 14, issue 2, 2018
- Estimating the effect of plate discipline using a causal inference framework: an application of the G-computation algorithm pp. 37-56
- Vock David Michael and Vock Laura Frances Boehm
- Out of gas: quantifying fatigue in MLB relievers pp. 57-64
- Burris Kyle and Coleman Jacob
- On the dependency of soccer scores – a sparse bivariate Poisson model for the UEFA European football championship 2016 pp. 65-79
- Groll Andreas, Kneib Thomas, Mayr Andreas and Schauberger Gunther
- Modeling between-subject differences and within-subject changes for long distance runners by age pp. 81-90
- Strand Matthew, Nelson Daniel and Grunwald Gary
Volume 14, issue 1, 2018
- Modified Kelly criteria pp. 1-11
- Chu Dani, Wu Yifan and Swartz Tim B.
- Estimating the duration of professional tennis matches for varying formats pp. 13-23
- Kovalchik Stephanie Ann and Ingram Martin
- Paradox of crosses in association football (soccer) – a game-theoretic explanation pp. 25-36
- Sumit Sarkar
Volume 13, issue 4, 2017
- Predicting the NHL playoffs with PageRank pp. 131-139
- Swanson Nathan, Koban Donald and Brundage Patrick
- Decomposing Pythagoras pp. 141-149
- Kaplan Edward H. and Rich Candler
Volume 13, issue 3, 2017
- A hierarchical Bayesian model of pitch framing pp. 95-112
- Deshpande Sameer K. and Wyner Abraham
- The Football Team Composition Problem: a Stochastic Programming approach pp. 113-129
- Pantuso Giovanni
Volume 13, issue 2, 2017
- The temporalized Massey’s method pp. 37-48
- Franceschet Massimo, Bozzo Enrico and Vidoni Paolo
- A multilevel Bayesian approach for modeling the time-to-serve in professional tennis pp. 49-62
- Kovalchik Stephanie A. and Albert Jim
- Ranking ultimate teams using a Bayesian score-augmented win-loss model pp. 63-78
- Murray Thomas A.
- Identifying NCAA tournament upsets using Balance Optimization Subset Selection pp. 79-93
- Dutta Shouvik, Jacobson Sheldon H. and Sauppe Jason J.
Volume 13, issue 1, 2017
- An examination of statistical disclosure issues related to publication of aggregate statistics in the presence of a known subset of the dataset using Baseball Hall of Fame ballots pp. 1-10
- Matthews Gregory J., Tuy Pétala Gardênia da Silva Estrela and Arthur Robert K.
- On the importance of the probabilistic model in identifying the most decisive games in a tournament pp. 11-23
- Francisco Corona, Wiper Michael Peter and Juan de Dios Tena
- Bayesian survival analysis of batsmen in Test cricket pp. 25-36
- Stevenson Oliver George and Brewer Brendon J.
Volume 12, issue 4, 2016
- Meta-analytics: tools for understanding the statistical properties of sports metrics pp. 151-165
- Franks Alexander M., D’Amour Alexander, Cervone Daniel and Bornn Luke
- The market for English Premier League (EPL) odds pp. 167-178
- Guanhao Feng, Polson Nicholas and Xu Jianeng
- A Markov Decision Process-based handicap system for tennis pp. 179-188
- Chan Timothy C. Y. and Singal Raghav
Volume 12, issue 3, 2016
- Analysis of substitution times in soccer pp. 113-122
- Silva Rajitha M. and Swartz Tim B.
- Analysis of substitution times in soccer (Silva and Swartz) pp. 123-124
- Myers Bret R.
- Rejoinder to Myers (2016) pp. 125-125
- Silva Rajitha M. and Swartz Tim B.
- Searching for the GOAT of tennis win prediction pp. 127-138
- Kovalchik Stephanie Ann
- A combined approximation for the traveling tournament problem and the traveling umpire problem pp. 139-149
- Bender Marco and Westphal Stephan
Volume 12, issue 2, 2016
- Estimating an NBA player’s impact on his team’s chances of winning pp. 51-72
- Deshpande Sameer K. and Jensen Shane T.
- Improved component predictions of batting and pitching measures pp. 73-85
- Albert Jim
- Beating the market betting on NHL hockey games pp. 87-98
- Buttrey Samuel E.
- Formula for success: Multilevel modelling of Formula One Driver and Constructor performance, 1950–2014 pp. 99-112
- Bell Andrew, Smith James, Sabel Clive E. and Jones Kelvyn
Volume 12, issue 1, 2016
- Bayesian optimal design of fixed knockout tournament brackets pp. 1-15
- Hennessy Jonathan and Glickman Mark
- An analytical approach for fantasy football draft and lineup management pp. 17-30
- Becker Adrian and Sun Xu Andy
- Modeling and forecasting the outcomes of NBA basketball games pp. 31-41
- Manner Hans
- Is there a Pythagorean theorem for winning in tennis? pp. 43-49
- Kovalchik Stephanie Ann
Volume 11, issue 4, 2015
- A finite mixture latent trajectory model for modeling ultrarunners’ behavior in a 24-hour race pp. 193-203
- Francesco Bartolucci and Murphy Thomas Brendan
- Riding a probabilistic support vector machine to the Stanley Cup pp. 205-218
- Demers Simon
- Consistency, accuracy, and fairness: a study of discretionary penalties in the NFL pp. 219-230
- Snyder Kevin and Lopez Michael
- Fair compensation for gate and wind conditions in ski jumping – estimated from competition data using a mixed model pp. 231-245
- Aldrin Magne
Volume 11, issue 3, 2015
- A stochastic rank ordered logit model for rating multi-competitor games and sports pp. 131-144
- Glickman Mark E. and Hennessy Jonathan
- The implied volatility of a sports game pp. 145-153
- Polson Nicholas G. and Stern Hal S.
- Modeling spatial batting ability using a known covariance matrix pp. 155-167
- Cross Jared and Sylvan Dana
- Rethinking the FIFA World Cup™ final draw pp. 169-182
- Guyon Julien
- Playing on artificial turf may be an advantage for Norwegian soccer teams pp. 183-192
- Hvattum Lars Magnus
Volume 11, issue 2, 2015
- openWAR: An open source system for evaluating overall player performance in major league baseball pp. 69-84
- Baumer Benjamin S., Jensen Shane T. and Matthews Gregory J.
- Multi-day bicycle tour route generation pp. 85-96
- Payne Katherine Carl and Dror Moshe
- Prediction of major international soccer tournaments based on team-specific regularized Poisson regression: An application to the FIFA World Cup 2014 pp. 97-115
- Groll Andreas, Schauberger Gunther and Tutz Gerhard
- A linear model for estimating optimal service error fraction in volleyball pp. 117-129
- Burton Tristan and Powers Scott
Volume 11, issue 1, 2015
- Introduction to the NCAA men’s basketball prediction methods issue pp. 1-3
- Glickman Mark E. and Sonas Jeff
- Building an NCAA men’s basketball predictive model and quantifying its success pp. 5-12
- Lopez Michael J. and Matthews Gregory J.
- A mixture-of-modelers approach to forecasting NCAA tournament outcomes pp. 13-27
- Yuan Lo-Hua, Liu Anthony, Yeh Alec, Franks Alex, Wang Sherrie, Illushin Dmitri, Bornn Luke, Kaufman Aaron, Reece Andrew and Bull Peter
- Nearest-neighbor matchup effects: accounting for team matchups for predicting March Madness pp. 29-37
- Hoegh Andrew, Carzolio Marcos, Crandell Ian, Hu Xinran, Roberts Lucas, Song Yuhyun and Leman Scotland C.
- A generative model for predicting outcomes in college basketball pp. 39-52
- Ruiz Francisco J. R. and Perez-Cruz Fernando
- A new approach to bracket prediction in the NCAA Men’s Basketball Tournament based on a dual-proportion likelihood pp. 53-67
- Gupta Ajay Andrew