Measuring Football Players' On-the-ball Contributions From Passes During Games
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Abstract (arXiv)
Several performance metrics for quantifying the in-game performances of individual football players have been proposed in recent years. Although the majority of the on-the-ball actions during games constitutes of passes, many of the currently available metrics focus on measuring the quality of shots only. To help bridge this gap, we propose a novel approach to measure players' on-the-ball contributions from passes during games. Our proposed approach measures the expected impact of each pass on the scoreline.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Sep 2018.
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Citing papers per year: 2022: 2; 2023: 1; 2024: 0; 2025: 1.
4 papers.
- 2022Evaluation of creating scoring opportunities for teammates in soccer via trajectory predictioncited by 19
- 2023Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learningcited by 9
- 2022A Multi-stage deep architecture for summary generation of soccer videoscited by 1
- 2025Beyond Expected Goals: A Probabilistic Framework for Shot Occurrences in Soccercited by 0
- 2025Beyond Expected Goals: A Probabilistic Framework for Shot Occurrences in Soccer28 Nov 2025
- 2023Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learning29 May 2023
- 2022Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction4 Jun 2022
- 2022A Multi-stage deep architecture for summary generation of soccer videos2 May 2022