Revolutionizing Sports: 11th MLSA Workshop on Machine Learning and Data Mining in Sports Analytics

Sports Analytics is revolutionizing the world of sports, enabling teams and organizations to make data-driven decisions that transform the game. Machine learning and data mining techniques are at the heart of this transformation, providing new opportunities for researchers and practitioners to analyze player performance, predict outcomes, and optimize strategies.
At the 11th MLSA Workshop on Machine Learning and Data Mining for Sports Analytics, we invite submissions from both the sports and machine learning/data mining communities to showcase the latest advances in this exciting and rapidly evolving field.
The workshop covers a range of topics related to Sports Analytics, including match analysis and strategy, player recruitment and valuation, talent identification and development, training and performance optimization, injury prevention and management, performance prediction and evaluation, match outcome and league ranking prediction, tournament design and scheduling optimization, and betting odds modeling and analysis.
Join us for a valuable opportunity to network with experts, foster collaborations, and inspire further research in this dynamic field.

We welcome long papers reporting on novel, unpublished work and extended abstracts summarizing recent publications that fit the workshop’s scope. Submit your paper via the CMT system by June 15, 2024, for review by our esteemed Program Committee.
Key dates include author notification on July 15, 2024, and camera-ready due on July 29, 2024.
For more information, please contact Ulf Brefeld, Jesse Davis, Jan van Haaren, or Albrecht Zimmermann, or visit the workshop site at https://dtai.cs.kuleuven.be/events/MLSA24/.