This presentation expands on the content of the introductory presentation by discussing the technicalities behind the VAEP framework for valuing actions of football players as well as the content of the hands-on video tutorials in more depth.

VAEP (Valuing Actions by Estimating Probabilities) is based on the insight that players tend to perform actions with two possible intentions: increase the chance of scoring a goal in the short-term future and/or,

Convert soccer event stream data to SPADL and value player actions using VAEP or xT Topics

A set of notebooks illustrates the complete pipeline to train and apply an Atomic-VAEP model: compute features and labels. estimate scoring and conceding probabilities. compute VAEP values and top players

VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract) Tom Decroos, Lotte Bransen, Jan Van Haaren, Jesse Davis Short video

The VAEP framework provides a simple approach to valu-ing actions that is independent of the representation used to describe the actions. The framework’s strength is that it trans-forms the subjective task of valuing an action into the objec-tive machine learning task of predicting the likelihood of a future event in a natural way.

VAEP (Valuing Actions by Estimating Probabilities) is a framework for valuing player actions in soccer. It assigns a value to each on-the-ball action in event stream data based on its impact on the game outcome while accounting for the context in which the action happened.

Example of a VAEp model with prediction:paperclip: You can find the full code for this example in a Jupyter notebook. This example demonstrates how to build a VAEp model with prediction using the method VAE.models.VAEp.

Actions Speak Louder than Goals: Valuing Player Actions in Soccer

Mar 27, 2024 · VAEP is available as a KPI on Footovision’s Coachvision analysis platform, both as a brute value for a player over one/several games, or as a ∆VAEP to represent how much value a player added or subtracted from their team as a whole.