QPass: a merit-based evaluation of soccer passes

Quantitative analysis of soccer players` passing ability focuses on descriptive statistics without considering the players` real contribution to the passing and ball possession strategy of their team. Which player is able to help the build-up of an attack, or to maintain the possession of the ball? We introduce a novel methodology called QPass to answer questions like these quantitatively. Based on the analysis of an entire season, we rank the players based on the intrinsic value of their passes using QPass. We derive an album of pass trajectories for different gaming styles. Our methodology reveals a quite counterintuitive paradigm: losing the ball possession could lead to better chances to win a game.
© Copyright 2016 Proceedings of the KDD-16 Workshop on Large-Scale Sports Analytics. Published by Eigenverlag. All rights reserved.

Bibliographic Details
Subjects:
Notations:technical and natural sciences sport games
Tagging:data mining
Published in:Proceedings of the KDD-16 Workshop on Large-Scale Sports Analytics
Language:English
Published: San Francisco Eigenverlag 2016
Online Access:http://www.large-scale-sports-analytics.org/Large-Scale-Sports-Analytics/Submissions_files/paperID09.pdf
Pages:1-4
Document types:article
Level:advanced