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AI for Sports Analytics (AISA) Workshop, Location: Virtual event

Publication date: 2021-05-27

AI for Sports Analytics (AISA) Workshop at IJCAI 2021

Author:

Bransen, Lotte
Davis, Jesse

Abstract:

Technical data such as event or optical tracking data from men’s football (soccer) matches have been extensively analysed using techniques from AI on a variety of different levels. However, there has been very little analysis of the women’s game. In this work we take an initial step towards analysing professional women’s football. Using event data covering a number of seasons from the top women’s leagues, we perform two analyses. First, we perform an exploratory analysis by computing several technical indicators (e.g., goal scoring rates over the season, conversion rates, shot locations) and then compare and contrast them to the indicators for comparable men’s leagues and find several intriguing differences. Second, we assess whether xG models on one gender are applicable to data from a different gender.