65 games analyzed over 2 seasonsUpdated Sep 30, 2026, 12:31 a.m.Compare
NHL official profile
Dave Jackson
65 games analyzed over 2 seasons
Official · NHL
Goals vs average
6.1
Near league average
65 games
Minors vs average
9.1
+1.4 vs league average
65 games
Close-game scoring
6.3
+0.2 vs league in tight games
9 close games
How games feel
Typical historical game environment associated with this official. Descriptive history only.
Near-average scoring environment
High evidence
Combined goals sit close to the league average (6.1).
League average 6.1 combined goals
Above-average penalties volume
High evidence
Averaged 9.1 penalties per game (+1.4 vs league).
League average 7.7 penalties
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
Whistle volume swings more game to game than most peers in the scouting sample window.
Descriptive stability of whistle volume, not a market forecast
Multi-season sample on file
High evidence
Profile spans 2 seasons in this dataset (2016-17–2017-18).
Team effects versus baseline
Team performance comparisons are withheld until same-window team baselines clear sample gates. Raw records alone can overstate the official's relationship with strong or weak teams.
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 6.1·Baseline 6.2·+0.0 vs leagueper game
Minor penalties+0.8 vs league
Baseline 8.3·Official 9.1·per game · near baseline
More minors than the nhl referee baseline (+0.8 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.
Average two-minute minor penalties assessed in this referee’s games (both teams combined). More accurate than raw PIM for whistle tightness.
9.1
+0.7 vs 8.3 league
Share of this referee’s games that reached overtime or a shootout. League average is roughly 23%.
13.8%
9 OT/SO · league 24.8%
How evenly minors are split between teams. A “balancer” ref often finishes within one minor of even; descriptive only, not a live makeup-call predictor.
asymmetric
49.2% within ±1 minor · avg gap 2.2
More often ends with a lopsided minor-penalty split.
Data confidence: High1300 high-leverage minMinimum: 50 min
Stability
Sample size
65 games
Seasons on file
2016-17, 2017-18
Officiating style
Official Dave Jackson profiles as a game-flow (high subjective ratio) over the last 50 games. Tends to call 11% fewer subjective minors in recent sample. Whistle volume stays relatively stable in high-stakes settings.
Game-Flow (high subjective ratio) · NHL
Loose / Game-FlowStrict / Rule-Enforcer
86% subjective, 14% procedural
86% subjective vs 14% 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.
Historical outcome splits
Games65
Avg home score3.1
Avg road score2.9
+0.2
Straight-up home team record when this official works the game.
Straight-up wins and losses for the home team in games this ref worked; who won, ignoring the spread.
35-30
53.8% home win rate
N=65 games · NHL sample
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: -77% 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.
Late-game proxy
How Dave Jackson compares in one-goal and overtime games vs the full sample. Based on official box scores.
Overtime / shootout games
9 of 65 games match this window
Avg combined goals
OT/shootout avg
6.3
Season avg
6.1
Pressure impact
+0.2
Avg minors
OT/shootout avg
16.8
Season avg
18.5
Pressure impact
-1.7
Over rate
OT/shootout avg
66.7%
Season avg
43.1%
Pressure impact
+23.6 pp
Over benchmark: 6.3 combined goals · Seasons: 2016-17, 2017-18, 2018-19, 2019-20, 2020-21, 2021-22, 2022-23, 2023-24, 2024-25, 2025-26 · 65 total games in sample
One-goal or OT games
21 of 65 games match this window
Avg combined goals
One-goal/OT avg
6.6
Season avg
6.1
Pressure impact
+0.5
Avg minors
One-goal/OT avg
17
Season avg
18.5
Pressure impact
-1.5
Over rate
One-goal/OT avg
61.9%
Season avg
43.1%
Pressure impact
+18.8 pp
Over benchmark: 6.3 combined goals · Seasons: 2016-17, 2017-18, 2018-19, 2019-20, 2020-21, 2021-22, 2022-23, 2023-24, 2024-25, 2025-26 · 65 total games in sample
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.
38.8% over · +1.4 whistlesimilar over rate · similar whistle tendency
Pre-Game Context
Refficacy Dimensions
Referee Efficacy Radar
65 games · 0-100 index where 50 marks league norm. Higher is not automatically better.
This officialLeague norm (50)
Run stoppages10 index
50
How often this crew whistles during opponent scoring runs.
Scoring pace50 index
50
Combined scoring in this crew's games versus league average.
Whistle mix64 index
50
Contact and administrative whistle share relative to league norms.
Home-side split49 index
50
Home versus away whistle or cover patterns in this crew's sample.
2 metrics excluded due to insufficient event data
Index scores computed from 50 logged games in analysis window
How to read this profile
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. ATS/O-U results are shown only where external closing-line data is available. Team PIM splits live on team pages. Tonight's assignment signals are on the NHL home page.
Scores, PIM, and crews from NHL API. ATS/O-U from synthetic closing lines derived from final scores (12282/12282 games). Descriptive only, not market odds. Ref game counts rebuilt from DISTINCT game_id in game logs.
Dave Jackson NHL Official Stats & Assignments | Ref Watch