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SAW2025 Program ​

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Monday 5 May 2025

15:00 - 20:35 SAW Day 1

15:00-15:10 Welcome by Ioannis Ntzoufras

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15:10-16:00 Daniel Fernández, Universitat Politècnica de Catalunya - BarcelonaTech (UPC)

                    Statistical Practices and Reporting Standards in Sports Science Research

16:00-16:25 Ron Yurko, Carnegie Mellon University

                    Momentum Interference: A Hierarchical Framework for Modeling Tackling Ability in American Football

 

16:25-16:50 BREAK 1

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16:50-17:40 Dries Goossens, University of Gent

                    Scheduling Youth Competitions

17:40-18:05 László Csató, Institute for Computer Science and Control (SZTAKI)

                    Most Swiss-system tournaments are unfair: Evidence from chess

18:05-18:30 Robert Bajons, Vienna University of Economics and Business (WU Vienna)

                    Machine learning based statistical inference in sports analytics

 

18:30-18:55 BREAK 2

 

18:55-19:20 Ioannis Ntzoufras, AUEB Sports Analytics Group

                    Bayesian Modeling of Goal Arrival Times

19:20-19:45 Roberto Macrì Demartino, University of Trieste

                    Fitting Bayesian and frequentist football models in R via the footBayes package

19:45-20:10 Serhat Emre Akhanli, Mugla Sitki Kocman University

                     Interactive Tools for Football Scouting: Improving Talent Discovery Through Dissimilarity Measures

20:10-20:35 Leonardo Egidi, University of Trieste

                    Our football analytics Story

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Tuesday 6 May 2025

14:30 - 19:55 SAW Day 2

14:30-14:55 Stefanos Doltsinis, Kaizen Gaming

                    TBA

14:55-15:20 Christos Spyropoulos, University of Piraeus

                    Data Driven Budget Optimization for Team Sports

15:20-15:45 Paris Spiliotis, AUEB Stats and OPAP 

                    Battle of the Trenches

15:45-16:10 Dimitra Alexopoulou, Dimitris Dallas, and Eleni Sideri, AUEB Stats  

                    Adaptation of Elo Ranking in Euroleague dataset

 

16:10-16:35 BREAK 1

 

16:35-17:25 Andreas Groll, Technische Universität Dortmund, Germany 

                   A combined and enhanced statistical learning model for the prediction of the EURO 2024 tournamen

17:25-17:50 Dimitris Karlis, AUEB Sports Analytcs Group 

                   TBA

 

17:50-18:15 BREAK 2

 

18:15-18:40 Marlin Myrte, Clutch Data & ESCP Business School 

                    Leveraging Analytics for Success in Basketball Organizations: A Holistic Approach to Front Office,                                          Coaching, and Sports Science

18:40-19:05 Stylianos Grammatikakis, AUEB Sports Analytcs Group 

                   Causal Parameter Estimation and Application on Sports Data

19:05-19:30 Giorgos Giasemidis, AUEB Sports Analytcs Group 

                    Python Meets Euroleague: Data Extraction, Insights, and Performance Projections via Simulations

19:30-19:55 Nikos Tsolakis and Prodromos Boutis , ShotClock 

                    From play-by-play to scouting insights: the role of advanced analytics in modern basketball

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Wednesday 7 May 2025

14:00 - 17:00 Short Course on Basketball Data Science - Lecture 1​

18:00 - 21:00 Short Course on Foorball Analytics - Lecture 1

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Thursday 8 May 2025

14:00 - 17:00 Short Course on Basketball Data Science - Lecture 2

18:00 - 21:00 Short Course on Foorball Analytics - Lecture 2

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Friday 9 May 2025

14:00 - 17:00 Short Course on Basketball Data Science - Lecture 3

18:00 - 21:00 Short Course on Foorball Analytics - Lecture 3

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*All times refer to the Greek time-zone (GMT+3)

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Organized by

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Ioannis Ntzoufras

Dimitris Karlis

Sotiris Drikos

 

Administrative Assistant

Argyro Damoulaki

 

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