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Home > Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings > Predicting Pass Receiver in Football Using Distance Based Features
Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings |
Ulf Brefeld; Jesse Davis; Jan Van Haaren; Albrecht Zimmermann
Springer International Publishing
Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings
Predicting Pass Receiver in Football Using Distance Based Features
Authors

Yann Dauxais; Clément Gautrais

ARI Id

1665177971214_5175682

Access

Not Available Free

Pages

145-151

DOI

10.1007/978-3-030-17274-9_12

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-17274-9_12

Table of Contents of Book
Showing 1 to 20 of 21 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-x
Front Matter
1-1
Measuring Football Players’ On-the-Ball Contributions from Passes During Games
Lotte Bransen; Jan Van Haaren
3-15
Forecasting the FIFA World Cup – Combining Result- and Goal-Based Team Ability Parameters
Pieter Robberechts; Jesse Davis
16-30
Distinguishing Between Roles of Football Players in Play-by-Play Match Event Data
Bart Aalbers; Jan Van Haaren
31-41
Player Valuation in European Football
Edward Nsolo; Patrick Lambrix; Niklas Carlsson
42-54
Ranking the Teams in European Football Leagues with Agony
Stefan Neumann; Julian Ritter; Kailash Budhathoki
55-66
Front Matter
67-67
Interpreting Deep Sports Analytics: Valuing Actions and Players in the NHL
Guiliang Liu; Wang Zhu; Oliver Schulte
69-81
Player Pairs Valuation in Ice Hockey
Dennis Ljung; Niklas Carlsson; Patrick Lambrix
82-92
Model Trees for Identifying Exceptional Players in the NHL and NBA Drafts
Yejia Liu; Oliver Schulte; Chao Li
93-105
Evaluating NFL Plays: Expected Points Adjusted for Schedule
Konstantinos Pelechrinis; Wayne Winston; Jeff Sagarin; Vic Cabot
106-117
Front Matter
119-119
Real-Time Power Performance Prediction in Tour de France
Yasuyuki Kataoka; Peter Gray
121-130
Automatic Classification of Strike Techniques Using Limb Trajectory Data
Kasper M. W. Soekarjo; Dominic Orth; Elke Warmerdam; John van der Kamp
131-141
Front Matter
143-143
Predicting Pass Receiver in Football Using Distance Based Features
Yann Dauxais; Clément Gautrais
145-151
Football Pass Prediction Using Player Locations
Philippe Fournier-Viger; Tianbiao Liu; Jerry Chun-Wei Lin
152-158
Deep Learning from Spatial Relations for Soccer Pass Prediction
Ondřej Hubáček; Gustav Šourek; Filip Železný
159-166
Predicting the Receivers of Football Passes
Heng Li; Zhiying Zhang
167-177
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 21 entries
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