| Vol-1842 urn:nbn:de:0074-1842-7 Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# MLSA 2016
Machine Learning and Data Mining for Sports Analytics

### Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016
co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016)

### Riva del Garda, Italy, September 19, 2016.

Edited by

### Jan Van Haaren *
Mehdi Kaytoue **
Jesse Davis *

* KU Leuven, Department of Computer Science, 3001 Leuven, Belgium
** INSA de Lyon, Département Informatique, 69621 Villeurbanne, France

## Table of Contents

- Preface

### Session 1: Prediction Challenge

- Generalised Linear Model for Football Matches Prediction
  Antoine Adam
- Feature Extraction and Aggregation for Predicting the EURO 2016
  Maryam Tavakol, Hamid Zafartavanaelmi, Ulf Brefeld
- EURO 2016 Predictions Using Team Rating Systems
  Jan Lasek
- The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions
  Lucas Maystre, Victor Kristof, Antonio J. González Ferrer, Matthias Grossglauser

### Session 2

- Applications of Machine Learning in Dota 2: Literature Review and Practical Knowledge Sharing
  Aleksandr Semenov, Peter Romov, Kirill Neklyudov, Daniil Yashkov, Daniil Kireev
- Predicting the Outcome of ODI Cricket Matches: A Team Composition Based Approach
  Madan Gopal Jhanwar, Vikram Pudi
- Explaining Soccer Match Outcomes with Goal Scoring Opportunities Predictive Analytics
  Harm Eggels, Ruud van Elk, Mykola Pechenizkiy
- Qualitative Spatial Reasoning for Soccer Pass Prediction
  Vincent Vercruyssen, Luc De Raedt, Jesse Davis
- Decision Making in American Football: Evidence from 7 Years of NFL Data
  Konstantinos Pelechrinis

### Session 3

- Detecting Strategic Moves in HearthStone Matches
  Boris Doux, Clement Gautrais, Benjamin Negrevergne
- Wages of Wins: Could an Amateur Make Money from Match Outcome Predictions?
  Albrecht Zimmermann

### Session 4

- Does Training Affect Match Performance? A Study Using Data Mining And Tracking Devices
  Javier Fernández, Daniel Medina, Antonio Gómez, Marta Arias, Ricard Gavaldà
- Heart Rate Modelling as a Potential Physical Fitness Assessment for Runners and Cyclists
  Dimitri de Smet, Marc Francaux, Julien M. Hendrickx, Michel Verleysen
- Data Mining in Stabilometry: Application to Patient Balance Study for Sports Talent Mapping
  Juan. A. Lara, David Lizcano, David de la Peña, José M. Barreiro

2017-05-21: submitted by Jan Van Haaren, metadata incl. bibliographic data published under Creative Commons CC0
2017-05-22: published on CEUR-WS.org |valid HTML5|