Publications

Learning Fine-Grain Spatial Models for Dynamic Sports Play Prediction

• December 14, 2014

• Yisong Yue
• Patrick Lucey
• Peter Carr
• Alina Bialkowski
• Iain Matthews

• International Conference on Data Mining (ICDM) 2014

• Press Release:  Disney Research builds computer models to analyze play in pro basketball and soccer

Large-Scale Analysis of Soccer Matches using Spatiotemporal Tracking Data

• December 14, 2014

• Alina Bialkowski
• Patrick Lucey
• Peter Carr
• Yisong Yue
• Sridha Sridharan (Queensland University of Technology)
• Iain Matthews

• International Conference on Data Mining (ICDM) 2014

Identifying Team Style in Soccer using Formations from Spatiotemporal Tracking Data

• December 13, 2014

• Alina Bialkowski
• Patrick Lucey
• Peter Carr
• Yisong Yue
• Sridha Sridharan (Queensland University of Technology)
• Iain Matthews

• International Workshop on Spatial and Spatiotemporal Data Mining 2014

“How to Get an Open Shot”: Analyzing Team Movement in Basketball using Tracking Data

• April 30, 2014

• Patrick Lucey
• Alina Bialkowski (Queensland University of Technology)
• Peter Carr
• Yisong Yue
• Iain Matthews

• MIT Sloan Sports Analytics Conference 2014

• Press Release:  Disney researchers look beyond basketball stats to analyze team movement in getting shots

“Win at Home and Draw Away”: Automatic Formation Analysis Highlighting the Differences in Home and Away Team Behaviors

• April 30, 2014

• Alina Bialkowski
• Patrick Lucey
• Peter Carr
• Yisong Yue
• Iain Matthews

• MIT Sloan Sports Analytics Conference 2014

• Press Release:  Disney Research soccer formations analysis suggests home advantage is result of execution

“How to Get an Open Shot”: Analyzing Team Movement in Basketball using Tracking Data

• April 30, 2014

• Patrick Lucey
• Alina Bialkowski
• Peter Carr
• Yisong Yue
• Iain Matthews

• MIT Sloan Sports Analytics Conference 2014