WNBA referee stats and assignments
WNBA referee
WNBA
Moderate game-to-game volatility
Historically associated with slightly higher scoring (3.2 more points per game than the league average), above-average fouls volume (3.7 more fouls per game than the league average), reduced late-game whistle frequency.
Typical historical game environment associated with this official. Descriptive history only.
Slightly higher-scoring environment
High evidence
Games officiated by this official averaged 168.2 combined points, 3.2 more points per game than the league average.
League average 165 combined points
Above-average fouls volume
High evidence
Averaged 37.7 fouls per game (+3.7 vs league).
League average 34 fouls
Standout Minnesota Lynx split
Limited evidence
Minnesota Lynx is 16-3 (84.2%) across 19 games with this official, +20.2 percentage points above the team baseline (64.0%).
Team baseline 64.0% across 197 games
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
Moderate game-to-game volatility
High evidence
Consistency score 6/10 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 6 seasons in this dataset (2021–2026).
Scoring, whistle, and stability context from this official's verified sample versus league averages. Descriptive history only. Window: 2022–2026.
Whistle volume, penalty disposition, and high-leverage game-state tendencies.
64
Near-average foul-call profile
Official Kevin Fahy 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 to 2026). Sorted by absolute delta. Descriptive history only - not a measure of cause. Minimum 8 shared games per row.
| Team | Games | W-L with official | Team baseline | Delta (pp) | Sample |
|---|---|---|---|---|---|
 Minnesota Lynx | 19 | 16-3 (84.2%) | 64.6% | Thin | |
 Golden State Valkyries | 9 | 4-5 (44.4%) | 61.0% | Thin | |
 Seattle Storm | 28 | 9-19 (32.1%) | 48.2% | Moderate | |
 Chicago Sky | 22 | 12-10 (54.5%) | 41.9% | Thin | |
 Phoenix Mercury | 24 | 8-16 (33.3%) | 44.9% | Thin | |
 Los Angeles Sparks | 27 | 12-15 (44.4%) | 37.1% | Moderate | |
 Atlanta Dream | 24 | 13-11 (54.2%) | 47.3% | Thin | |
 Indiana Fever | 26 | 12-14 (46.2%) | 39.8% | Moderate | |
 Las Vegas Aces | 18 | 12-6 (66.7%) | 72.1% | Thin | |
 Connecticut Sun | 21 | 11-10 (52.4%) | 55.8% | Thin | |
 New York Liberty | 28 | 18-10 (64.3%) | 61.6% | Moderate | |
 Washington Mystics | 14 | 6-8 (42.9%) | 45.5% | Thin |
Season timeline of archetype and late-game sensitivity, with detailed metrics below.
| Season | Style bucket derived from procedural vs. subjective foul mix and game-flow impact. Helps frame whether this ref tends to let play breathe or enforce structure. | Foul Ratio | How much an official's whistle rate shifts in close, late-game situations compared with the rest of the game. Positive values suggest they tighten up under pressure. | 1-10 rating of how predictable this official's whistle volume is game to game. Higher scores mean steadier pacing; lower scores flag more volatile totals markets. |
|---|---|---|---|---|
| 2026 | Insufficient data (0 games, fewer than 10 required) | |||
| 2025 | Insufficient data (0 games, fewer than 10 required) | |||
| 2024 | Insufficient data (0 games, fewer than 10 required) | |||
| 2023 | Insufficient data (0 games, fewer than 10 required) | |||
| 2022 | Insufficient data (0 games, fewer than 10 required) | |||
| 2021 | Insufficient data (0 games, fewer than 10 required) | |||
Explore officials who frequently work with this official or show similar historical officiating patterns.
Officials who have appeared on the same crew most often in the available dataset.
Similarity is descriptive and based on available historical metrics. It does not imply identical decision-making.
Pre-Game Context
Refficacy Dimensions
This officialLeague norm (50)
How often this crew whistles during opponent scoring runs.
Combined scoring in this crew's games versus league average.
Contact and administrative whistle share relative to league norms.
3 metrics excluded due to insufficient event data
Index scores computed from 50 logged games in analysis window
Quick compare
Scoring and foul totals come from WNBA Stats API game logs. Ref×team win-loss records are rebuilt from verified game logs. Team foul splits live on team pages. Tonight's assignment signals are on the WNBA slate.
1433 WNBA games from ESPN with scores, foul totals, and referee crews. Matrix: 666/804 ref×team pairs with 3+ games. 13 games skipped (no officials listed). Ref game counts rebuilt from DISTINCT game_id in game logs.