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Data-Driven Analysis for Understanding Team Sports Behaviors
16 references·0 citing·43 second hop
Data-Driven Analysis for Understanding Team Sports Behaviors (2021)Data-Driven Analysis for Understanding Te…Game Plan: What AI can do for Football, and What Football can do for AI (2021)Game Plan: What AI can do for…Deep soccer analytics: learning an action-value function for evaluating soccer players (2020)Deep soccer analytics: learni…PlayeRank (2019)PlayeRankDeep Neural Networks as Scientific Models (2019)Deep Neural Networks as Scien…Artificial intelligence for team sports: a survey (2019)Artificial intelligence for t…Actions Speak Louder than Goals (2019)Actions Speak Louder than Goa…Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation (2018)Deep Reinforcement Learning i…A machine learning framework for sport result prediction (2017)A machine learning framework …A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes (2016)A Multiresolution Stochastic …A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes (2016)A Multiresolution Stochastic …POINTWISE: Predicting Points and Valuing Decisions in Real Time with NBA Optical Tracking Data (2014)POINTWISE: Predicting Points …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…Spatiotemporal coordination behaviors in futsal (indoor football) are guided by informational game constraints (2012)Spatiotemporal coordination b…Detecting Deception in Movement: The Case of the Side-Step in Rugby (2012)Detecting Deception in Moveme…Space–time coordination dynamics in basketball: Part 2. 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References

  • 2019Deep Neural Networks as Scientific Models456 cited
  • 2017A machine learning framework for sport result prediction303 cited
  • 2019Actions Speak Louder than Goals248 cited
  • 2010Space–time coordination dynamics in basketball: Part 2. The interaction between the two teams245 cited
  • 2019PlayeRank179 cited
  • 2016A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes152 cited
  • 2012Detecting Deception in Movement: The Case of the Side-Step in Rugby148 cited
  • 2019Artificial intelligence for team sports: a survey131 cited
  • 2021Game Plan: What AI can do for Football, and What Football can do for AI116 cited
  • 2012Spatiotemporal coordination behaviors in futsal (indoor football) are guided by informational game constraints111 cited
  • 2020Deep soccer analytics: learning an action-value function for evaluating soccer players106 cited
  • 2014POINTWISE: Predicting Points and Valuing Decisions in Real Time with NBA Optical Tracking Data101 cited
  • 2013Assessing team strategy using spatiotemporal data99 cited
  • 2018Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation89 cited
  • 2014Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction

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87 cited
  • 2016A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes87 cited
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