Pre-Game Context
Refficacy Dimensions
3 metrics excluded due to insufficient event data
Index scores computed from 50 logged games in analysis window
Radar dimensions
Serie A
High game-to-game volatility
Historically associated with near-average scoring, near-average cards volume, reduced late-game whistle frequency.
Typical historical game environment associated with this official. Descriptive history only.
Near-average scoring environment
High evidence
Combined goals sit close to league baseline (2.6, +0.0).
League average 2.6 combined goals
Near-average cards volume
High evidence
Cards volume tracks the league baseline (23.1, -0.4).
League average 23.5 cards
Fewer late-game whistles
High evidence
In close finishes, whistle rate historically drops versus earlier periods after intentional-foul filtering.
Late-game profile: Swallows Whistle
High game-to-game volatility
High evidence
Consistency score 4/10 on whistle volume across the scouting sample window.
Descriptive stability of whistle volume, not a market forecast
Multi-season sample on file
High evidence
Profile spans 5 seasons in this dataset (2021-22–2025-26).
Scoring, whistle, and stability context from this official's verified sample versus league averages. Descriptive history only.
Whistle volume, penalty disposition, and high-leverage game-state tendencies.
48
Near league average
Official Marco Guida profiles as a game-flow (high subjective ratio) over the last 50 games. Whistle volume stays relatively stable in high-stakes settings.
Late-game whistle tendency versus earlier periods. Zero on the scale is the neutral / no-shift anchor for this official (same whistle rate late as earlier), not a league average and not a betting recommendation.
Each row compares a team's win rate with this official to that team's overall win rate in the same dataset window (2021-22 to 2025-26). Sorted by absolute delta. Minimum 8 shared games per row.
| Team | Games | With official W-L | Team baseline | Delta | Sample |
|---|---|---|---|---|---|
 AS Roma | 10 | 1-9 (10.0%) | 64.5% | -54.5 pts | Thin |
 Juventus | 8 | 2-6 (25.0%) | 74.1% | -49.1 pts | Thin |
 Lazio | 8 | 2-6 (25.0%) | 64.7% | -39.7 pts | Thin |
 Internazionale | 8 | 4-4 (50.0%) | 80.7% | -30.7 pts | Thin |
 AC Milan | 9 | 5-4 (55.6%) | 73.1% | -17.5 pts | Thin |
Season-by-season career trends appear when multi-season official stats are available in this dataset.
Related officials and upcoming assignments to extend your read.
Against the spread: whether the home team beat the sportsbook point spread (not just who won). A home line of −5.5 means the home team must win by 6+ to cover. and Did both teams’ combined score finish above (over) or below (under) the closing total set by sportsbooks before tip-off? tables use The spread and total sportsbooks posted near tip-off. ATS and O/U tables here use that number, not our fixed 225 benchmark. per game. Where sportsbook closing lines are unavailable, ATS/O/U splits use estimated lines. Team penalty splits live on team pages. Tonight's assignment signals are on the EPL home page.
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).