Search Results for author: Jan Van Haaren

Found 6 papers, 2 papers with code

"Why Would I Trust Your Numbers?" On the Explainability of Expected Values in Soccer

no code implementations27 May 2021 Jan Van Haaren

Since player performances are challenging to quantify directly due to the low-scoring nature of soccer, most approaches estimate the expected impact of the players' on-the-ball actions on the scoreline.

Player Chemistry: Striving for a Perfectly Balanced Soccer Team

1 code implementation28 Feb 2020 Lotte Bransen, Jan Van Haaren

We introduce two chemistry metrics that measure the offensive and defensive chemistry for a pair of players, respectively.

Social and Information Networks Applications

Actions Speak Louder than Goals:Valuing Player Actions in Soccer

no code implementations Published in KDD 2018 2019 Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis

Assessing the impact of the individual actions performed by soccerplayers during games is a crucial aspect of the player recruitmentprocess.

Football Action Valuation

A Bayesian Approach to In-Game Win Probability in Soccer

no code implementations12 Jun 2019 Pieter Robberechts, Jan Van Haaren, Jesse Davis

First, we demonstrate that in-game win probability models for other sports struggle to provide accurate estimates for soccer, especially towards the end of a game.

Decision Making

Distinguishing Between Roles of Football Players in Play-by-play Match Event Data

no code implementations13 Sep 2018 Bart Aalbers, Jan Van Haaren

Over the last few decades, the player recruitment process in professional football has evolved into a multi-billion industry and has thus become of vital importance.

Actions Speak Louder Than Goals: Valuing Player Actions in Soccer

3 code implementations18 Feb 2018 Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis

Assessing the impact of the individual actions performed by soccer players during games is a crucial aspect of the player recruitment process.

Football Action Valuation

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