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SAW2024 Program 

Thursday 23/5/2024

SAW2024 Day 1 

14:00-14:10 SAW2024 Opening by Ioannis Ntzoufras

Session 1:

14:10-15:00 Alex Krumer, Molde University College, Norway

Ask not what economics can do for sports - ask what sports can do for economics

15:00-15:25 Florian Felice, University of Luxembourg 

Score More with Data: Unveiling the Coach's Analytics Advantage - an illustration with handball

15:25-15:50 Dimitris Karlis, AUEB, Greece

Statistical Models for handball

15:50-16:15 Tim Swartz, Simon Fraser University, Canada

Tactical Problems in Football using Tracking Data and Causal Methods

16:15-16:40   BREAK 1

Session 2:

16:40-17:05 Nina Deliu, MEMOTEF, Sapienza University, Italy

A Multivariate Copula-based Conformal Bayesian Framework for Doping Detection

17:05-17:30 Dimitra Eleftheriou, Leiden University, The Netherlands

Doping control analysis in athletes’ steroid profile: a multivariate Bayesian learning approach

17:30-17:55 Laurentiu Hinoveanu, University of Kent, UK

Athletic Performance Trajectories for middle-distance running Inferred via a Bayesian Hierarchical Model

17:55-18:20 Jethro Ronald Lee, Northeastern University, US

Analysis of Success Probabilities in Field Hockey with Bivariate Binomial Regression in Machine Learning

18:20-18:45   BREAK 2

Session 3:

18:45-19:10 Keisuke Fujii, Nagoya University, Japan

Estimation of counterfactual outcomes in basketball games with trajectory prediction

19:10-19:35 Gerçek Budak, Ankara Yıldırım Beyazıt University, Turkey

A Game Theoretical Mathematical Modelling for the Best Team Formation During the Basketball Match

19:35-20:00 Rouven Michels , Bielefeld University, Germany

Exploring team-level momentum effects: a study of offensive and defensive performances in the NBA

20:00-20:25 Ambra Macis, University of Brescia, Italy

Injuries in NBA and player’s vulnerability

20:25-20:50 Ioannis Ntzoufras, Argyro Damoulaki, AUEB, Greece

Lasso Multinomial Indicators for in-play Basketball Data

Friday 24/5/2024

SAW2024 Day 2 

Session 1:

12:00-12:25 Mirko Carlesso, University of Brescia, Italy

Measuring shooting performance in the basketball court with spatial statistics methods. A structured case study with data of the Italian Basketball First League.


12:25-12:50 Gabriele Giudici, University of Brescia, Italy

Computer Vision in Basketball

12:50-13:15 Michail Tsagris, University of Crete, Greece

Predicting full retirement attainment of NBA players


13:15-13:40 Tianxiao Guo, Beijing Sport University, China

 Exploring the relationship between basketball substitution and collective performance using complex network


13:40-14:30 LUNCH BREAK

Session 2:

14:30-14:55 Dimitris Dallas, AUEB, Greece

A basketball description of (almost) everything


14:55-15:20 Kazuhiro Yamada, Nagoya University, Japan

Impact of player combinations on scoring efficiency: using shooting style clustering based on Wasserstein distance of dynamic features


15:20-15:45 Michalis Nikolouzos, AUEB, Greece

Exploring New Frontiers: Greek Research in Real-Time Performance Monitoring for Athletes


15:45-16:10   BREAK 2


Session 3:

16:10-16:35 Robert Bajons, Vienna University of Economics and Business, Austria

PEP: Evaluating tackles in American football


16:35-17:00 Roberto Macrì Demartino, University of Padova, Italy

 The use of Bradley-Terry comparisons in statistical and machine learning models to predict football results


17:00-17:25 Steffen Lang, Technical University of Munich, Germany

 In-play event prediction using machine learning and spatiotemporal data in association football

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

Organized by

Ioannis Ntzoufras

Dimitris Karlis

Sotiris Drikos


Administrative Assistant

Argyro Damoulaki



Live Conference
23-24 May 2024, Athens (Greece)
Live course on Basketball Data Science (20-21 May 2024)

Virtual course on Football Analytics (27-30 May 2024) 

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