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Machine Learning and Data Mining for Sports Analytics

8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Ulf Brefeld

    1. Leuphana University of Lüneburg, Lüneburg, Germany

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  2. Jesse Davis

    1. Katholieke Universiteit Leuven, Leuven, Belgium

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  3. Jan Van Haaren

    1. Katholieke Universiteit Leuven, Leuven, Belgium

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  4. Albrecht Zimmermann

    1. University of Caen Normandie, Caen, France

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1571)

Included in the following conference series:

Conference proceedings info: MLSA 2021.

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Table of contents (16 papers)

  1. Front Matter

    Pages i-x
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  2. Football

    1. Front Matter

      Pages 1-1
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    2. 6MapNet: Representing Soccer Players from Tracking Data by a Triplet Network

      • Hyunsung Kim, Jihun Kim, Dongwook Chung, Jonghyun Lee, Jinsung Yoon, Sang-Ki Ko
      Pages 3-14

    3. A Career in Football: What is Behind an Outstanding Market Value?

      • Balazs Acs, Laszlo Toka
      Pages 15-25

    4. Inferring the Strategy of Offensive and Defensive Play in Soccer with Inverse Reinforcement Learning

      • Pegah Rahimian, Laszlo Toka
      Pages 26-38

    5. Predicting Player Transfers in the Small World of Football

      • Roland Kovacs, Laszlo Toka
      Pages 39-50

    6. Similarity of Football Players Using Passing Sequences

      • Alberto Barbosa, Pedro Ribeiro, Inês Dutra
      Pages 51-61

    7. The Interpretable Representation of Football Player Roles Based on Passing/Receiving Patterns

      • Arsalan Sattari, Ulf Johansson, Erik Wilderoth, Jasmin Jakupovic, Peter Larsson-Green
      Pages 62-76

  3. Other Team Sports

    1. Front Matter

      Pages 77-77
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    2. Learning Strength and Weakness Rules of Cricket Players Using Association Rule Mining

      • Swarup Ranjan Behera, V. Vijaya Saradhi
      Pages 79-92

    3. Learning to Describe Player Form in the MLB

      • Connor Heaton, Prasenjit Mitra
      Pages 93-102

    4. Low Cost Player Tracking in Field Hockey

      • Henrique Duarte Moura, Leonid Kholkine, Laurens Van Damme, Kevin Mets, Christiaan Leysen, Tom De Schepper et al.
      Pages 103-115

    5. PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data

      • Oliver Müller, Matthew Caron, Michael Döring, Tim Heuwinkel, Jochen Baumeister
      Pages 116-128

    6. Predicting Season Outcomes for the NBA

      • González Dos Santos Teno, Chunyan Wang, Niklas Carlsson, Patrick Lambrix
      Pages 129-142

  4. Individual Sports

    1. Front Matter

      Pages 143-143
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    2. Detecting Swimmers in Unconstrained Videos with Few Training Data

      • Nicolas Jacquelin, Romain Vuillemot, Stefan Duffner
      Pages 145-154

    3. Imputation of Non-participated Race Results

      • Bram Janssens, Matthias Bogaert
      Pages 155-166

    4. Sensor-Based Performance Monitoring in Track Cycling

      • Michaël Steyaert, Jelle De Bock, Steven Verstockt
      Pages 167-177

    5. Using Barycenters as Aggregate Representations of Repetition-Based Time-Series Exercise Data

      • Bahavathy Kathirgamanathan, James Davenport, Brian Caulfield, Pádraig Cunningham
      Pages 178-188

  5. Non-physical Sports

    1. Front Matter

      Pages 189-189
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Other volumes

  1. Machine Learning and Data Mining for Sports Analytics

Keywords

About this book

This book constitutes the refereed post-conference proceedings of the 8th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2021, held as virtual event in September 2021. 

The 12 full papers and 4 short papers presented were carefully reviewed and selected from 29 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation.

Editors and Affiliations

  • Leuphana University of Lüneburg, Lüneburg, Germany

    Ulf Brefeld

  • Katholieke Universiteit Leuven, Leuven, Belgium

    Jesse Davis, Jan Van Haaren

  • University of Caen Normandie, Caen, France

    Albrecht Zimmermann

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