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) |