Data Analytics in Professional Soccer: Performance Analysis Based on Spatiotemporal Tracking Data
Book information
Description
Daniel Link explores how data analytics can be used for studying performance in soccer. Based on spatiotemporal data from the German Bundesliga, the six individual studies in this book present innovative mathematical approaches for game analysis and player assessment. The findings can support coaches and analysts to improve performance of their athletes and inspire other researchers to advance the research field of sports analytics. Front Matter ....Pages I-XIII Introduction (Daniel Link)....Pages 1-7 Individual Ball Possession (Daniel Link)....Pages 9-28 Real Time Quantification of Dangerousity (Daniel Link)....Pages 29-49 A Topography of Free Kicks (Daniel Link)....Pages 51-70 Match Importance Affects Player Activity (Daniel Link)....Pages 71-84 Effect of Ambient Temperature on Pacing Depends on Skill Level (Daniel Link)....Pages 85-92 Vanishing Spray Reduces Extent of Rule Violations (Daniel Link)....Pages 93-103 Prospects (Daniel Link)....Pages 105-106 Back Matter ....Pages 107-123
Similar books
Dynamic Logic. New Trends and Applications: First International Workshop, DALI 2017, Brasilia, Brazil, September 23-24, 2017, Proceedings
2018 · PDF
Reinforcement Learning : With Open AI, TensorFlow and Keras Using Python
2018 · PDF
Oracle Business Intelligence with Machine Learning : Artificial Intelligence Techniques in OBIEE for Actionable BI
2018 · PDF
Build Better Chatbots: A Complete Guide to Getting Started with Chatbots
2018 · PDF
Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python
2017 · PDF
Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making
2017 · PDF
Machine Learning and Cognition in Enterprises: Business Intelligence Transformed
2017 · PDF
Python Machine Learning Case Studies: Five Case Studies for the Data Scientist
2017 · PDF