Evaluating passing decision by comparing the value of a pass to the value of realistic alternative passes.
A guide on how to train well-performing xG models and how to choose the best xG model for specific use cases.
Deriving a unified framework for common metrics in sports analytics.
Using pitch control and pitch value models to evaluate every aspect of passing situations.
Using path signatures and deep learning to gain insights into possession value.
A general framework for valid statistical inference in an interpretable semi-parametric model.
Using pre-snap tracking data and HMM-model-generated features to predict man vs. zone coverage accurately.
Deriving a statistically informed alternative to goals over expectation (GAX).
Flexible, robust and fast algorithm for the AGLL with applications to ratings in sports.
Deriving the expected points prevented by a tackle via conditional density estimation of the yards gained by the ball carrier.
Using hybrid models to develop predictions for the whole 2023 women’s tournament.
Analysing pass rushs by using a weighted curve clustering apporach.
Developing a player rating system using possession sequences derived from event stream data.
Analyzing shooting performance of soccer players via a Bayesian model averaging approach
A primer on non-collapsibility and potential issues in Bayesian model averaging
Some write up about gradient boosting and its variants.
