3 papers
stat.AP2026
Model quality in football: Quantifying the quality of an Expected Threat model
Koen van Arem, Jakob Söhl, Mirjam Bruinsma +1
The recent growth in data availability in football has increased the risk of incorrect use of data-driven models, making guidelines on their validation and application necessary. T…
stat.AP2025
Forecasting the future development in quality and value of professional football players
Koen W. van Arem, Floris Goes-Smit, Jakob Söhl
Transfers in professional football (soccer) are risky investments because of the large transfer fees and high risks involved. Although data-driven models can be used to improve tra…
stat.ME2024
Testing for no effect in regression problems: a permutation approach
MichaŠCiszewski, Jakob Söhl, Ton Leenen +2
Often the question arises whether can be predicted based on using a certain model. Especially for highly flexible models such as neural networks one may ask whether a seemi…