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Independent officiating analytics across professional sports. Ref Watch studies historical crew patterns for research, not predictions. Not affiliated with any league or sportsbook.

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Historical research only

Past patterns do not predict future outcomes. Ref Watch does not provide betting advice.

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Pisa

How Pisa play under each referee

Every Pisa game grouped by individual referee. Over this sample Pisa are 2-20 (9.1%); each ref win rate below is compared to that team average.

Updated Jul 28, 2026, 1:29 a.m.·2021-2026 (2021-08-22 – 2026-05-24)

Pisa record: 2-20 (9.1%)

No data available for this range

Close-match proxy

How Pisa compares in one-goal matches vs the full sample. Based on verified match results.

Close games (≤1 goal margin)

24 of 34 games match this window

Avg combined goals
Close-match avg
2
Season avg
2.6
Pressure impact
-0.6
Avg cards
Close-match avg
25.8
Season avg
24.6
Pressure impact
+1.2
Over rate
Close-match avg
37.5%
Season avg
50.0%
Pressure impact
-12.5 pp

Over benchmark: 2.4 combined goals · Seasons: 2021-22, 2022-23, 2023-24, 2024-25, 2025-26 · 34 total games in sample

What am I looking at?

Individual refs: stats for one official across all Pisa games they worked, even with different partners.
Team baseline: Pisa went 2-20 (9.1%) across this sample. Ref win rates show how they compare to that team average.
Whistle differential: who gets called more. A positive number means opponents are whistled more often than Pisa.

Scores, fouls, cards, and referee assignments from ESPN (1569 games, 197 with sportsbook totals). Referee coverage only where ESPN lists gameInfo.officials (2021-22 onward); games without referee names are excluded entirely. football-data.co.uk I1 CSVs lack a Referee column and are not used. Matrix: 490/962 ref×team pairs with 3+ games. 331 games skipped (no official listed).