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12th MLSA 2025: Porto, Portugal
- Hugo M. R. Rios-Neto

, Pieter Robberechts
, Maaike Van Roy
, Albrecht Zimmermann
:
Machine Learning and Data Mining for Sports Analytics - 12th International Workshop, MLSA 2025, Porto, Portugal, September 15, 2025, Revised Selected Papers. Communications in Computer and Information Science 2833, Springer 2026, ISBN 978-3-032-15164-3
Individual Sports
- Riad Attou

, Marin Mathé
, Aymeric Erades
, Romain Vuillemot
:
Analysis of Service Returns in Table Tennis. 3-18 - Piotr Kaczorek

, Jedrzej Slupski, Franciszek Kornobis
, Michal Zareba
, Tomasz Górecki
, Tomasz Pilka
:
Racing Beyond the Gate: Predicting Speedway Results with Expected Points (xP). 19-31
Soccer
- Minho Lee

, Geonhee Jo, Miru Hong
, Pascal Bauer
, Sang-Ki Ko
:
Contextual Evaluation of Individual Contributions from Pressing Situations in Football. 35-47 - Yannik Paul

, Maximilian Klemp
, Daniel Memmert
:
Beyond Outcome Bias: Incorporating Action Completion Probability and Risk-Return Into Soccer Evaluation Models. 48-61 - Raphaël Romero

, Yoosof Mashayekhi
, Fuyin Lai, Maaike Van Roy
, Tijl De Bie
, Jesse Davis
:
Next-Event Prediction in Soccer: Assessing the Impact of Team and Player Information. 62-73 - Ricardo Furbino, João Lucas Lage Gonçalves, Gabriel Valadão Meira, Wagner Meira Jr., Thiago C. Porto, Adriano C. M. Pereira:

A Unified Spatio-Temporal Graph Model to Predict Multi-Agent Movement. 74-85 - Oktay Karakus

, Hasan Arkadas:
Through the Gaps: Uncovering Tactical Line-Breaking Passes with Clustering. 86-96 - Yohei Ogawa, Rikuhei Umemoto, Keisuke Fujii

:
Pitch-Wide Space Evaluation for Soccer Transitions. 97-119 - Michiel Schepers, Pieter Robberechts

, Jan Van Haaren
, Jesse Davis
:
What Makes a Dribble Successful? Insights From 3D Pose Tracking Data. 120-135
Other Team Sports
- Guanyu Hu, Yishu Xue, Weining Shen:

Multidimensional Heterogeneity Learning for Field Goal Attempt Analysis of NBA Players. 139-157 - Shunsuke Iwashita, Ning Ding

, Keisuke Fujii
:
Evaluating Movement Initiation Timing in Ultimate Frisbee via Temporal Counterfactuals. 158-178

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