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Player Tracking Data in Sports
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Player Tracking Data in Sports (2022)Player Tracking Data in SportsSports analytics — Evaluation of basketball players and team performance (2020)Sports analytics — Evaluation…Modeling Player and Team Performance in Basketball (2020)Modeling Player and Team Perf…Forecasting the outcomes of sports events: A review (2020)Forecasting the outcomes of s…Deep soccer analytics: learning an action-value function for evaluating soccer players (2020)Deep soccer analytics: learni…DATA-DRIVEN GHOSTING USING DEEP IMITATION LEARNING (2017)DATA-DRIVEN GHOSTING USING DE…A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes (2016)A Multiresolution Stochastic …Characterizing the spatial structure of defensive skill in professional basketball (2015)Characterizing the spatial st…Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction (2014)Learning Fine-Grained Spatial…Assessing team strategy using spatiotemporal data (2013)Assessing team strategy using…Statistical Thinking in Sports (2007)Statistical Thinking in SportsMoneyball: The Art of Winning an Unfair Game (2005)Do clutch players win the game? Testing the validity of the clutch player's reputation in basketball (2014)Big data analytics for modeling scoring probability in basketball: The effect of shooting under high-pressure conditions (2017)The Determinants of the TV Demand for Soccer: Empirical Evidence on Italian Serie A for the Period 2008-2015 (2017)POINTWISE: Predicting Points and Valuing Decisions in Real Time with NBA Optical Tracking Data (2014)Basketball on Paper: Rules and Tools for Performance Analysis (2003)Moneyball: the art of winning an unfair game (2004)The MIT Sloan Sports Analytics Conference (2014)Statistics for Spatial Data (1993)A Starting Point for Analyzing Basketball Statistics (2007)Spatial Interaction and the Statistical Analysis of Lattice Systems (1974)Probabilistic Forecasts, Calibration and Sharpness (2007)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Studying Embodied Decisions in the Wild and in the Lab (2022)Decision Support and Business Intelligence Systems (2006)Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (2013)Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance (2015)A Data Science approach analysing the Impact of Injuries on Basketball Player and Team Performance (2021)Sports Big Data: Management, Analysis, Applications, and Challenges (2021)Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned (2024)Modelling Association Football Scores and Inefficiencies in the Football Betting Market (1997)Analysis of sports data by using bivariate Poisson models (2003)What is big data? A consensual definition and a review of key research topics (2015)The influence of randomness on goals in football decreases over time. An empirical analysis of randomness involved in goal scoring in the English Premier League (2021)Actions Speak Louder than Goals (2019)Big Data in Sports: A Bibliometric and Topic Study (2022)The hot hand in basketball: On the misperception of random sequences (1985)Twenty years of “hot hand” research: Review and critique (2006)Racial Discrimination Among NBA Referees (2010)
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References

  • 2020Sports analytics — Evaluation of basketball players and team performance212 cited
  • 2016A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes152 cited
  • 2015Characterizing the spatial structure of defensive skill in professional basketball111 cited
  • 2020Deep soccer analytics: learning an action-value function for evaluating soccer players106 cited
  • 2013Assessing team strategy using spatiotemporal data99 cited
  • 2020Modeling Player and Team Performance in Basketball94 cited
  • 2014Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction87 cited
  • 2007Statistical Thinking in Sports76 cited
  • 2017DATA-DRIVEN GHOSTING USING DEEP IMITATION LEARNING66 cited
  • 2020Forecasting the outcomes of sports events: A review58 cited

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