Pith. sign in

REVIEW 1 cited by

How Much Does Home Field Advantage Matter in Soccer Games? A Causal Inference Approach for English Premier League Analysis

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2205.07193 v2 pith:UG6HGYLQ submitted 2022-05-15 stat.AP stat.ME

classification stat.APstat.ME
keywords advantagecausalhomefieldleagueteameffectenglish
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

In many sports, it is commonly believed that the home team has an advantage over the visiting team, known as the home field advantage. Yet its causal effect on team performance is largely unknown. In this paper, we propose a novel causal inference approach to study the causal effect of home field advantage in English Premier League. We develop a hierarchical causal model and show that both league level and team level causal effects are identifiable and can be conveniently estimated. We further develop an inference procedure for the proposed estimators and demonstrate its excellent numerical performance via simulation studies. We implement our method on the 2020-21 English Premier League data and assess the causal effect of home advantage on eleven summary statistics that measure the offensive and defensive performance and referee-assessed disciplinary outcomes. We find that the home field advantage resides more heavily in offensive statistics than it does in defensive or referee statistics. We also find evidence that teams that had lower rankings retain a higher home field advantage.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Time-Varying Home Field Advantage in Football: Learning from a Non-Stationary Causal Process

    stat.AP 2025-06 conditional novelty 5.0 of 10

    DYNAMO uses kernel-weighted local M-estimators to learn time-varying causal graphs from non-stationary time series, and applies them to EPL data to claim time-varying home field advantage driven partly by referee bias.

Pith tools