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  • Conference proceedings
  • © 2023

Machine Learning and Data Mining for Sports Analytics

9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers

Conference proceedings info: MLSA 2022.

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Table of contents (9 papers)

  1. Front Matter

    Pages i-x
  2. Football

    1. Front Matter

      Pages 1-1
    2. Towards Expected Counter - Using Comprehensible Features to Predict Counterattacks

      • Henrik Biermann, Franz-Georg Wieland, Jens Timmer, Daniel Memmert, Ashwin Phatak
      Pages 3-13
    3. Analyzing Passing Sequences for the Prediction of Goal-Scoring Opportunities

      • Conor McCarthy, Panagiotis Tampakis, Marco Chiarandini, Morten Bredsgaard Randers, Stefan Jänicke, Arthur Zimek
      Pages 27-40
    4. Let’s Penetrate the Defense: A Machine Learning Model for Prediction and Valuation of Penetrative Passes

      • Pegah Rahimian, Dayana Grayce da Silva Guerra Gomes, Fanni Berkovics, Laszlo Toka
      Pages 41-52
    5. Evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory Prediction

      • Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii
      Pages 53-73
    6. Cost-Efficient and Bias-Robust Sports Player Tracking by Integrating GPS and Video

      • Hyunsung Kim, Chang Jo Kim, Minchul Jeong, Jaechan Lee, Jinsung Yoon, Sang-Ki Ko
      Pages 74-86
  3. Racket Sports

    1. Front Matter

      Pages 87-87
    2. Predicting Tennis Serve Directions with Machine Learning

      • Ying Zhu, Ruthuparna Naikar
      Pages 89-100
    3. Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery

      • Pierre Duluard, Xinqing Li, Marc Plantevit, Céline Robardet, Romain Vuillemot
      Pages 101-112
  4. Cycling

    1. Front Matter

      Pages 113-113
    2. Athlete Monitoring in Professional Road Cycling Using Similarity Search on Time Series Data

      • Arie-Willem de Leeuw, Tobias Oberkofler, Mathieu Heijboer, Arno Knobbe
      Pages 115-126
  5. Back Matter

    Pages 127-127

Other Volumes

  1. Machine Learning and Data Mining for Sports Analytics

About this book

This book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, held in Grenoble, France, during September 19, 2022. 

The 10 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections as follows: Football, Racket sports, Cycling.

Editors and Affiliations

  • Leuphana University of Lüneburg, Lüneburg, Germany

    Ulf Brefeld

  • KU Leuven, Leuven, Belgium

    Jesse Davis, Jan Van Haaren

  • University of Caen Normandy, Caen, France

    Albrecht Zimmermann

Bibliographic Information

Buy it now

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access