372 games analyzed over 10 seasonsUpdated Aug 22, 2026, 11:17 p.m.Compare
NBA
JD Ralls
Game-Flow Manager · 372 games · 10 seasons
Low game-to-game volatility
Historically associated with slightly lower scoring (1.3 fewer points per game than the league average), near-average fouls volume, reduced late-game whistle frequency.
How games feel
Typical historical game environment associated with this official. Descriptive history only.
Slightly lower-scoring environment
High evidence
Games officiated by this official averaged 221 combined points, 1.3 fewer points per game than the league average.
League average 222.3 combined points
Near-average fouls volume
High evidence
Fouls volume tracks the league baseline (40.9, -0.1).
League average 41 fouls
Standout Rockets split
Limited evidence
Rockets is 8-1 (88.9%) across 9 games with this official, +43.3 percentage points above the team baseline (45.6%).
Team baseline 45.6% across 410 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
Low game-to-game volatility
High evidence
Consistency score 8/10 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 10 seasons in this dataset (2016-17–2025-26).
Historical environment
Scoring, whistle, and stability context from this official's verified sample versus league averages. Descriptive history only. Window: 2021-2026.
League comparison
Combined score
Official 221.0·Baseline 222.3·-1.3 vs leagueper game
Fouls-0.1 vs league
Baseline 41.0·Official 40.9·per game · near baseline
Fewer whistles than the nba official baseline (-0.1 per game).
Over-benchmark rate withheld unless verified closing-line provenance is available for this league.
Whistle detail
Whistle profile
Whistle volume, penalty disposition, and high-leverage game-state tendencies.
Official JD Ralls profiles as a game-flow (high subjective ratio) over the last 50 games. Tends to call 7% more subjective fouls in recent sample. Whistle volume stays relatively stable in high-stakes settings.
Game-Flow (high subjective ratio) · NBA
Loose / Game-FlowStrict / Rule-Enforcer
90% subjective, 10% procedural
90% subjective vs 10% procedural whistle mix.
Not pressure-sensitive in the last 50 games.
Win/loss and line history
Straight-up and line-linked outcome history when provenance allows. Not a recommendation.
General stats
Games
189
Avg combined score
221
-1.3 vs league avg
Games over benchmark
67.2%
Combined beat 222.3 benchmark
Fouls per game
40.9
-0.1 vs league avg
Seasons
10 seasons
Pressure
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.
Late-game whistle tendency
Swallows Whistle
Swallows whistleNeutral (0)Tightens up
Leverage index: -75% vs earlier periods (0 = no late-game shift)
Swallows the whistle: foul frequency historically drops in late close-game minutes after intentional-foul filtering. Neutral anchor is zero change versus earlier periods.
Swallows whistle means late close-game whistle rate is lower than earlier periods after intentional-foul filtering. Historical tendency only.
Tight-game proxy
Supporting evidence from close finishes in the verified sample.
Tight-game proxy
How JD Ralls compares in tight final-margin games vs the full sample. Based on official box scores, not last-two-minute reports.
Close games (≤5 pt margin)
259 of 372 games match this window
Avg combined points
Tight-game avg
223
Season avg
221.7
Pressure impact
+1.3
Avg fouls
Tight-game avg
41.1
Season avg
41
Pressure impact
+0.1
Over rate
Tight-game avg
52.1%
Season avg
46.2%
Pressure impact
+5.9 pp
Over benchmark: 222 combined points · Seasons: 2016-17, 2017-18, 2018-19, 2019-20, 2020-21, 2021-22, 2022-23, 2023-24, 2024-25, 2025-26 · 372 total games in sample
Team effects versus baseline
Each row compares a team's win rate with this official to that team's overall win rate in the same dataset window (2016-17 to 2025-26). Sorted by absolute delta. Descriptive history only - not a measure of cause. Minimum 8 shared games per row.
Delta is the difference between team win rate with this official and team baseline win rate, in percentage points (pp). Descriptive history only. Confidence follows sample depth for the shared games with this official.
Career
Career evolution
Season timeline of archetype and late-game sensitivity, with detailed metrics below.
2025-26Insufficient sample0 games
2024-25Game-Flow ManagerLeverage -51% · 31 games
2023-24Game-Flow ManagerLeverage -50% · 43 games
2022-23Game-Flow ManagerLeverage -50% · 41 games
2021-22Game-Flow ManagerLeverage -49% · 32 games
2020-21Insufficient sample0 games
2019-20Insufficient sample0 games
2018-19Insufficient sample0 games
2017-18Insufficient sample0 games
2016-17Insufficient sample0 games
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.
2025-26
Insufficient data (0 games, fewer than 10 required)
2024-25
Game-Flow Manager
0.11
-51%
8/10
2023-24
Game-Flow Manager
0.11
-50%
8/10
2022-23
Game-Flow Manager
0.11
-50%
8/10
2021-22
Game-Flow Manager
0.11
-49%
8/10
2020-21
Insufficient data (0 games, fewer than 10 required)
2019-20
Insufficient data (0 games, fewer than 10 required)
2018-19
Insufficient data (0 games, fewer than 10 required)
2017-18
Insufficient data (0 games, fewer than 10 required)
2016-17
Insufficient data (0 games, fewer than 10 required)
Related officials
Explore officials who frequently work with this official or show similar historical officiating patterns.
Frequent crew partners
Officials who have appeared on the same crew most often in the available dataset.
71.2% over · +0.2 whistlesimilar over rate · similar whistle tendency
Pre-Game Context
Refficacy Dimensions
Referee Efficacy Radar
372 games · 0-100 index where 50 marks league norm. Higher is not automatically better.
This officialLeague norm (50)
Run stoppages80 index
50
How often this crew whistles during opponent scoring runs.
Scoring pace49 index
50
Combined scoring in this crew's games versus league average.
Whistle mix65 index
50
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
How to read this profile
Scoring and foul totals come from NBA Stats API game logs. Ref×team win-loss records come from Basketball-Reference. Team foul splits live on team pages. Tonight's assignment signals are on the home page.
Ref×team W-L from Basketball-Reference (2021-22, 2022-23, 2023-24, 2024-25, 2025-26). Foul and scoring from NBA Stats API game logs.