Sotabase

Career

· Head of Football Insights & Innovation, Club Brugge2024–
· Head of Data and Technology, Club Brugge2023–2024
· Data Scientist, Club Brugge2021–2022
· Chief Analytics Officer (CAO), SciSports2020–2021
· Chief Product and Technology Officer (CPTO), SciSports2019–2020
· Researcher, KU Leuven2017–
· Artificial Intelligence Expert, SciSports2017–2017
· Head of Data and Analytics, SciSports2017–2019
· Chairman, Board Member, and Co-founder, vzw Kwistis2012–
· PhD Student, KU Leuven2011–2016
· PhD in Engineering Science: Computer Science (Artificial Intelligence), University of Leuven2011–2016
· Master of Science (Artificial Intelligence), KU Leuven2009–2011
· Bachelor of Science (Informatics), KU Leuven2006–2010
· Data Editor, Electronic Arts (EA)2004–
· Latin and Mathematics, Sint-Pietersinstituut Turnhout2000–2006

Publications (78)

Actions Speak Louder than Goals: Valuing Player Actions in Soccer
Knowledge Discovery and Data Mining · 2018
219
cited
Markov Network Structure Learning: A Randomized Feature Generation Approach
AAAI Conference on Artificial Intelligence · 2012
92
cited
Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data
Knowledge Discovery and Data Mining · 2018
82
cited
VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract)
International Joint Conference on Artificial Intelligence · 2020
58
cited
Predicting Soccer Highlights from Spatio-Temporal Match Event Streams
AAAI Conference on Artificial Intelligence · 2017
56
cited
Machine learning and data mining for sports analytics
2013
52
cited
Lifted generative learning of Markov logic networks
Machine-mediated learning · 2015
44
cited
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned
Machine-mediated learning · 2024
40
cited
TODTLER: Two-Order-Deep Transfer Learning
AAAI Conference on Artificial Intelligence · 2015
38
cited
Choke or Shine? Quantifying Soccer Players' Abilities to Perform Under Mental Pressure
2019
31
cited
Measuring Football Players' On-the-ball Contributions from Passes during Games
MLSA@PKDD/ECML · 2018
31
cited
Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques
Knowledge Discovery and Data Mining · 2016
26
cited
Automatically Discovering Offensive Patterns in Soccer Match Data
International Symposium on Intelligent Data Analysis · 2015
25
cited
Distinguishing between Roles of Football Players in Play-by-play Match Event Data
MLSA@PKDD/ECML · 2018
24
cited
STARSS: A Spatio-Temporal Action Rating System for Soccer
MLSA@PKDD/ECML · 2017
24
cited
A Bayesian Approach to In-Game Win Probability in Soccer
Knowledge Discovery and Data Mining · 2019
22
cited
Predicting the Potential of Professional Soccer Players
MLSA@PKDD/ECML · 2017
18
cited
Relational Learning for Football-Related Predictions
International Conference on Inductive Logic Programming · 2011
16
cited
Who Will Win It? An In-game Win Probability Model for Football
arXiv.org · 2019
15
cited
Evaluating Sports Analytics Models: Challenges, Approaches, and Lessons Learned
EBeM@IJCAI · 2022
14
cited
Sotabase
Jan Van Haaren | Researcher Profile | Sotabase | Sotabase