10th Workshop on Machine Learning and Data Mining for Sports Analytics
ECML/PKDD 2023 Workshop, Turin, Italy

Schedule

09:00 Opening
09:15
ETSY: A rule-based approach to Event and Tracking data Synchronization

Maaike Van Roy (KU Leuven); Lorenzo Cascioli (KU Leuven); Jesse Davis (KU Leuven)
09:30
Masked Autoencoder Pretraining for Event Classification in Elite Soccer

Yannick Rudolph (Leuphana University); Ulf Brefeld (Leuphana)
09:45
Pass Receiver and Outcome Prediction in Soccer Using Temporal Graph Networks

Pegah Rahimian (Budapest University of Technology and Economics); Hyunsung Kim (Seoul National University); Marc Schmid (Technical University Munich); Laszlo Toka (BME)
10:00
Field Depth Matters: Comparing the Valuation of Passes in Football

Leo Martins de Sá Freire (UFMG); Pedro O.S. Vaz-de-Melo (UFMG)
10:15
Expected Metrics as a Measure of Skill: Reflections on Finishing in Soccer

Jesse Davis (KU Leuven); Pieter Robberechts (KU Leuven)
10:30
Quantification of Turnover Danger with xCounter

Henrik Biermann (German Sports University Cologne)
10:45
Analyzing Player Performance in the Context of the Game

Arian Skoki (Faculty of Engineering, University of Rijeka); Alessio Rossi (ational Research Council of Italy); Paolo Cintia (Kode srl)
10:55
An Overview of Constructing Spaces and Times for Tactical Analysis in Football

Gennady Andrienko (Fraunhofer, DE); Natalia Andrienko (Fraunhofer, DE)
11:05 Coffee break
11:30
Invited talk by Martin Rumo
12:30 Lunch break
14:30
Identifying Player Roles in Ice Hockey

Rasmus Säfvenberg (Linköping University); Niklas Carlsson (Linkoping University); Patrick Lambrix (Linköping University)
14:45
Performance Measurement 2.0: Towards a Data-Driven Cyclist Specialization Evaluation

Bram Janssens (Ghent University); Matthias Bogaert (Ghent University)
15:00
Momentum matters: investigating high-pressure situations in the NBA through scoring probability

Balázs M Mihályi (Budapest University of Technology and Economics); Gergely Biczok (Budapest Univ. of Technology and Economics); Laszlo Toka (BME)
15:15
The Big Three: a practical framework for designing Decision Support Systems in Sports and an application for basketball

Javier Sanguino (ETH); Dustin Brunner (ETH); Timothé Laborie (ETH); Liule Yang (ETH); Jonathan Koch (ETH); Mennatallah El-Assady (ETH)
15:30
Are Sports Awards About Sports? Using AI to Find the Answer

Anshumaan Shankar (Indiana University); Gowtham V Rajasekaran (IU Bloomington); Jacob Hendricks (Indiana University); Jared Andrew Schlak (Indiana University); Parichit Sharma (Indiana University); Madhavan Kalkunte Ramachandra (Indiana University); Hasan Kurban (Indiana University); Mehmet Dalkilic (Indiana University)
15:45
What data should be collected for a good handball Expected Goal model?

Alexis Mortelier (GREYC); François Rioult (Université de Caen Normandie); John Komar (Nanyang technological university)
16:00 Coffee break
16:30
Exploiting Clustering for Sports Data Analysis: A Study of Public and Real-world Datasets

Vanessa Meyer (Goethe University Frankfurt); Ahmed Al-Ghezi (Goethe University Frankfurt); Lena Wiese (Goethe University Frankfurt)
16:45
Elite Rugby League Players' Signature Movement Patterns and Position Prediction

Victor E Adeyemo (Leeds Beckett University); Anna Palczewska (Leeds Beckett University); Ben Jones (Leeds Beckett University); Dan Weaving (Leeds Beckett University)
17:00
Exploring Table Tennis Analytics: Domination, Expected Score and Shot Diversity

Gabin Calmet (École Centrale de Lyon); Aymeric Erades (École Centrale de Lyon); Romain Vuillemot (Ecole Centrale de Lyon, LIRIS)
17:15
Boat speed prediction in SailGP

Benedek Zentai (BME); Laszlo Toka (BME)