Chelsea
Every Chelsea game grouped by individual official, or by the same one officials on the pitch. Over this sample the Chelsea are 195-185 (51.3%); each ref and crew win rate below is compared to that team average.
Whistle pattern
PatternIn the Chelsea games with Stuart Attwell, the Chelsea draw 1.2 more fouls called per game than opponents (25-game sample).
25 games in sample
Stuart Attwell profile →Scoring pattern
PatternIn the Chelsea games with Martin Atkinson, contests average 3.2 combined goals (+0.4 vs league), 73.7% finish over the 2.5-goal benchmark across 19 games.
19 games in sample
Martin Atkinson profile →19 games with the Chelsea · ~13-6
68.4%
Team baseline 51.3%
+17.1 pts vs team3.1 avg
68.4% over 2.5
+0.3 vs league+0.5
More fouls on the Chelsea's opponents when positive
Balanced20 games with the Chelsea · ~13-7
65.0%
Team baseline 51.3%
+13.7 pts vs team2.9 avg
55.0% over 2.5
+0.1 vs league-2.2
More fouls on the Chelsea's opponents when positive
Opponent tendency20 games with the Chelsea · ~12-8
60.0%
Team baseline 51.3%
+8.7 pts vs team2.4 avg
55.0% over 2.5
-0.4 vs league-0.6
More fouls on the Chelsea's opponents when positive
Balanced22 games with the Chelsea · ~13-9
59.1%
Team baseline 51.3%
+7.8 pts vs team2.7 avg
54.5% over 2.5
-0.1 vs league-1.1
More fouls on the Chelsea's opponents when positive
Opponent tendency14 games with the Chelsea · ~8-6
57.1%
Team baseline 51.3%
+5.8 pts vs team3 avg
57.1% over 2.5
+0.2 vs league-0.4
More fouls on the Chelsea's opponents when positive
Balanced16 games with the Chelsea · ~9-7
56.3%
Team baseline 51.3%
+5.0 pts vs team2.8 avg
56.3% over 2.5
+0.0 vs league-1.1
More fouls on the Chelsea's opponents when positive
Opponent tendency9 games with the Chelsea · ~5-4
55.6%
Team baseline 51.3%
+4.3 pts vs team3.6 avg
77.8% over 2.5
+0.8 vs league-1.0
More fouls on the Chelsea's opponents when positive
Balanced40 games with the Chelsea · ~21-19
52.5%
Team baseline 51.3%
+1.2 pts vs team2.7 avg
50.0% over 2.5
-0.1 vs league-1.7
More fouls on the Chelsea's opponents when positive
Opponent tendency20 games with the Chelsea · ~10-10
50.0%
Team baseline 51.3%
-1.3 pts vs team3.3 avg
70.0% over 2.5
+0.5 vs league-2.5
More fouls on the Chelsea's opponents when positive
Opponent tendency12 games with the Chelsea · ~6-6
50.0%
Team baseline 51.3%
-1.3 pts vs team2.8 avg
50.0% over 2.5
+0.0 vs league-1.8
More fouls on the Chelsea's opponents when positive
Opponent tendency12 games with the Chelsea · ~6-6
50.0%
Team baseline 51.3%
-1.3 pts vs team2.4 avg
50.0% over 2.5
-0.4 vs league+1.7
More fouls on the Chelsea's opponents when positive
CHE tendency19 games with the Chelsea · ~9-10
47.4%
Team baseline 51.3%
-3.9 pts vs team3.2 avg
73.7% over 2.5
+0.4 vs league-1.1
More fouls on the Chelsea's opponents when positive
Opponent tendency9 games with the Chelsea · ~4-5
44.4%
Team baseline 51.3%
-6.9 pts vs team2.9 avg
44.4% over 2.5
+0.1 vs league-2.1
More fouls on the Chelsea's opponents when positive
Opponent tendency13 games with the Chelsea · ~5-8
38.5%
Team baseline 51.3%
-12.8 pts vs team3.3 avg
61.5% over 2.5
+0.5 vs league-1.1
More fouls on the Chelsea's opponents when positive
Opponent tendency34 games with the Chelsea · ~13-21
38.2%
Team baseline 51.3%
-13.1 pts vs team2.4 avg
41.2% over 2.5
-0.4 vs league-0.4
More fouls on the Chelsea's opponents when positive
Balanced8 games with the Chelsea · ~3-5
37.5%
Team baseline 51.3%
-13.8 pts vs team3.3 avg
62.5% over 2.5
+0.5 vs league+0.5
More fouls on the Chelsea's opponents when positive
Balanced11 games with the Chelsea · ~4-7
36.4%
Team baseline 51.3%
-14.9 pts vs team2.8 avg
54.5% over 2.5
+0.0 vs league-2.1
More fouls on the Chelsea's opponents when positive
Opponent tendency25 games with the Chelsea · ~8-17
32.0%
Team baseline 51.3%
-19.3 pts vs team2.7 avg
64.0% over 2.5
-0.1 vs league+1.2
More fouls on the Chelsea's opponents when positive
CHE tendencyHow Chelsea compares in competitive late-game windows vs full games. A competitive late-game window derived from final margins, pregame spreads, or overtime, not official NBA Last Two Minute (L2M) play-by-play reports. Useful for spotting whistle/scoring shifts in tight games, with honest partial-coverage labels.A competitive late-game window derived from final margins, pregame spreads, or overtime, not official NBA Last Two Minute (L2M) play-by-play reports. Useful for spotting whistle/scoring shifts in tight games, with honest partial-coverage labels., not official NBA L2M reports.
Final margin within five points, a proxy for competitive late-game minutes. Not true last-two-minute (L2M) play-by-play data.
376 of 380 games match this window
proxy window, not official L2M play-by-play
| Metric | Close games (≤5 pt margin) | Full game | Δ vs full |
|---|---|---|---|
| Avg combined goals | 2.8 | 2.9 | -0.1 |
| Avg fouls | 22.1 | 22.1 | +0.0 |
| Over rate | 57.2% | 57.6% | -0.4 pts |
Over benchmark: 2.5 combined points · Seasons: 2016-17, 2017-18, 2018-19, 2019-20, 2020-21, 2021-22, 2022-23, 2023-24, 2024-25, 2025-26 · 380 total games in sample
Games where the closing spread was within 5.5 points; often stay tight through the fourth quarter. Spread lines may be estimated where sportsbook closing lines are unavailable.
380 of 380 games match this window
proxy window, not official L2M play-by-play
| Metric | Pregame toss-ups (spread ≤5.5) | Full game | Δ vs full |
|---|---|---|---|
| Avg combined goals | 2.9 | 2.9 | +0.0 |
| Avg fouls | 22.1 | 22.1 | +0.0 |
| Over rate | 57.6% | 57.6% | +0.0 pts |
Over benchmark: 2.5 combined points · Seasons: 2016-17, 2017-18, 2018-19, 2019-20, 2020-21, 2021-22, 2022-23, 2023-24, 2024-25, 2025-26 · 380 total games in sample
Goals, fouls, and cards from football-data.co.uk match archives (3800 games, 10 seasons). Over/under vs the 2.5-goal line. 0 rows skipped.
Stuart Attwell profile →
Martin Atkinson profile →