Special Issue on Machine Learning for Soccer

In this topical collection (11 articles)

1. EditorialNotes

   Guest editorial: special issue on machine learning for soccer

   Daniel Berrar, Philippe Lopes, Jesse Davis, Werner Dubitzky Pages 1-7

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2. OriginalPaper

   Evaluating soccer match prediction models: a deep learning approach and feature optimization for gradient-boosted trees

   Calvin Yeung, Rory Bunker, Rikuhei Umemoto, Keisuke Fujii Pages 1-24

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3. OriginalPaper

   Towards a foundation large events model for soccer

   Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira Pages 1-23

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4. OriginalPaper

   In-game soccer outcome prediction with offline reinforcement learning

   Pegah Rahimian, Balazs Mark Mihalyi, Laszlo Toka Pages 1-27

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5. OriginalPaper

   The Open International Soccer Database for machine learning

   Werner Dubitzky, Philippe Lopes, Jesse Davis, Daniel Berrar Pages 9-28

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6. OriginalPaper

   Learning to predict soccer results from relational data with gradient boosted trees

   Ondřej Hubáček, Gustav Šourek, Filip Železný Pages 29-47

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7. OriginalPaper

   Dolores: a model that predicts football match outcomes from all over the world

   Anthony C. Constantinou Pages 49-75

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8. OriginalPaper

   Modeling outcomes of soccer matches

   Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio… Pages 77-95

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9. OriginalPaper

   Incorporating domain knowledge in machine learning for soccer outcome prediction

   Daniel Berrar, Philippe Lopes, Werner Dubitzky Pages 97-126

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10. OriginalPaper

    Probabilistic movement models and zones of control

    Ulf Brefeld, Jan Lasek, Sebastian Mair Pages 127-147

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11. OriginalPaper

    Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned

    Jesse Davis, Lotte Bransen, Laurens Devos, Arne Jaspers, Wannes Meert… Pages 6977-7010

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