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
The trade-off between model flexibility and accuracy of the Expected Threat model in football
Koen W. van Arem, Jakob Söhl, Mirjam Bruinsma +1
With an average football (soccer) match recording over 3,000 on-ball events, effective use of this event data is essential for practitioners at football clubs to obtain meaningful…
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…