Late-match card-event rates and score-state associations in Barcelona La Liga matches featuring Lionel Messi: a retrospective analysis of StatsBomb open event data

Objective We examined whether card-event rates were higher in the final 15 min of regulation time and second-half stoppage time than in earlier periods (H1), and whether home-trailing status at the start of a time window was associated with subsequent home- and away-team card-event rates (H2). A secondary, exploratory analysis compared temporal associations before and from the 2018/19 season onward (H3), using an era proxy rather than actual video assistant referee (VAR) exposure. Methods This retrospective observational study included 519 FC Barcelona La Liga matches from 2004/05 to 2020/21 in StatsBomb Open Data in which Lionel Messi had a recorded playing position and the required files were available. H1 and H3 used three periods (0–75 min, 75–90 min, and second-half stoppage time), whereas H2 used six 15-min regulation-time windows and a second-half stoppage-time window. Outcomes comprised Yellow Card, Second Yellow, and Red Card events. Poisson regression used exposure-time offsets and match-clustered robust standard errors; the primary H1 model adjusted for recorded foul intensity and other covariates. Results Across 3,114 team-by-period observations, adjusted total card-event rates were higher at 75–90 min (incidence rate ratio [IRR] = 1.487, 95% CI 1.353–1.634) and in second-half stoppage time (IRR = 1.766, 95% CI 1.480–2.108), both p < 0.001. For Foul Committed-linked cards, the corresponding IRRs were 1.324 (95% CI 1.195–1.467) and 0.967 (95% CI 0.776–1.203). The Bad Behaviour share increased descriptively from 16.11% to 43.09%. Home-trailing status at window onset was not significantly associated with subsequent away-team card-event rates (IRR = 0.981, 95% CI 0.858–1.121). Era-by-period interactions provided no clear evidence of change. Conclusion Late-match total card-event rates were higher conditional on recorded foul intensity, and the stoppage-time card composition shifted toward Bad Behaviour. The analyses did not formally establish different temporal associations by event source. These patterns do not demonstrate decision inaccuracy or referee bias.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychology
Published
2026-10-28
DOI
https://doi.org/10.3389/fpsyg.2026.1992963
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Late-match card-event rates and score-state associations in Barcelona La Liga matches featuring Lionel Messi: a retrospective analysis of StatsBomb open event data

Yeqin Zhang, Tianran Gong
Frontiers in Psychology
Sports Analytics and Performance
article

Late-match card-event rates and score-state associations in Barcelona La Liga matches featuring Lionel Messi: a retrospective analysis of StatsBomb open event data

Yeqin Zhang, Tianran Gong
article en

Abstract

Objective We examined whether card-event rates were higher in the final 15 min of regulation time and second-half stoppage time than in earlier periods (H1), and whether home-trailing status at the start of a time window was associated with subsequent home- and away-team card-event rates (H2). A secondary, exploratory analysis compared temporal associations before and from the 2018/19 season onward (H3), using an era proxy rather than actual video assistant referee (VAR) exposure. Methods This retrospective observational study included 519 FC Barcelona La Liga matches from 2004/05 to 2020/21 in StatsBomb Open Data in which Lionel Messi had a recorded playing position and the required files were available. H1 and H3 used three periods (0–75 min, 75–90 min, and second-half stoppage time), whereas H2 used six 15-min regulation-time windows and a second-half stoppage-time window. Outcomes comprised Yellow Card, Second Yellow, and Red Card events. Poisson regression used exposure-time offsets and match-clustered robust standard errors; the primary H1 model adjusted for recorded foul intensity and other covariates. Results Across 3,114 team-by-period observations, adjusted total card-event rates were higher at 75–90 min (incidence rate ratio [IRR] = 1.487, 95% CI 1.353–1.634) and in second-half stoppage time (IRR = 1.766, 95% CI 1.480–2.108), both p < 0.001. For Foul Committed-linked cards, the corresponding IRRs were 1.324 (95% CI 1.195–1.467) and 0.967 (95% CI 0.776–1.203). The Bad Behaviour share increased descriptively from 16.11% to 43.09%. Home-trailing status at window onset was not significantly associated with subsequent away-team card-event rates (IRR = 0.981, 95% CI 0.858–1.121). Era-by-period interactions provided no clear evidence of change. Conclusion Late-match total card-event rates were higher conditional on recorded foul intensity, and the stoppage-time card composition shifted toward Bad Behaviour. The analyses did not formally establish different temporal associations by event source. These patterns do not demonstrate decision inaccuracy or referee bias.

Frontiers in PsychologyVol. 17
Beijing Sport University (CN)
Openalex Percentile: Top 9%
Sports Analytics and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Late-match card-event rates and score-state associations in Barcelona La Liga matches featuring Lionel Messi: a retrospective analysis of StatsBomb open event data — Yeqin Zhang, Tianran Gong · Frontiers in Psychology (2026) | TGRS Research Map | TGRS