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New metric xGI uses Hawkes processes to quantify soccer player contributions

Researchers have developed a new metric called expected goal involvements (xGI) to better quantify player contributions in soccer. This metric utilizes multivariate Hawkes processes (MHPs) to model the continuous-time sequences of passes and shots, allowing for the distribution of credit across multiple passes in an attacking sequence. Unlike traditional statistics that only credit the final pass before a goal, xGI identifies players who play key roles in creating scoring opportunities, offering a more comprehensive view of attacking involvement and player performance. AI

IMPACT Introduces a novel statistical approach for analyzing event sequences, potentially applicable to other domains beyond sports analytics.

RANK_REASON Academic paper detailing a new statistical method and metric. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New metric xGI uses Hawkes processes to quantify soccer player contributions

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Academic paper detailing a new statistical method and metric. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Phillip W. Kornberg, Kevin S. Xu ·

    Credit Attribution in Timestamped Soccer Networks Using Multivariate Hawkes Processes

    arXiv:2610.12775v1 Announce Type: cross Abstract: The two main traditional player statistics used in soccer are goals scored and assists, with an assist credited when a player's pass immediately leads to a teammate scoring. Attributing credit solely to the player who makes the fi…