Predicting Pass Receiver In Football Using Distance Based Features - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Predicting Pass Receiver In Football Using Distance Based Features

Yann Dauxais

Résumé

This paper presents our approach to the football pass prediction challenge of the Machine Learning and Data Mining for Sport Analytics workshop at ECML/PKDD 2018. Our solution uses distance based features to predict the receiver of a pass. We show that our model is able to improve prediction results obtained on a similar dataset. One particularity of our approach is the use of failed passes to improve the predictions.
Fichier principal
Vignette du fichier
dauxais_mlsa18.pdf (215.04 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01912616 , version 1 (05-11-2018)

Identifiants

  • HAL Id : hal-01912616 , version 1

Citer

Yann Dauxais, Clément Gautrais. Predicting Pass Receiver In Football Using Distance Based Features. MLSA 2018 - 5th Workshop on Machine Learning and Data Mining for Sports Analytic of ECML/PKDD, Sep 2018, Dublin, Ireland. pp.1-7. ⟨hal-01912616⟩
92 Consultations
178 Téléchargements

Partager

Gmail Facebook X LinkedIn More