mlsanityData to 7 Oct 2026

QPass: a Merit-based Evaluation of Soccer Passes

arXiv 1608.03532 ↗First posted 8 Aug 2016cs.AI stat.AP stat.MLcited by 4

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Abstract (arXiv)

Quantitative analysis of soccer players' passing ability focuses on descriptive statistics without considering the players' real contribution to the passing and ball possession strategy of their team. Which player is able to help the build-up of an attack, or to maintain the possession of the ball? We introduce a novel methodology called QPass to answer questions like these quantitatively. Based on the analysis of an entire season, we rank the players based on the intrinsic value of their passes using QPass. We derive an album of pass trajectories for different gaming styles. Our methodology reveals a quite counterintuitive paradigm: losing the ball possession could lead to better chances to win a game.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Aug 2016.

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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 0; 2025: 2.

4 papers.