VGK vs COL prediction for May 20, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects COL 3.9 - VGK 2.15. COL is favored with a 70.6% win probability. The spread is -1.5 and the total is 6.5.
COL
3.9
Projected Score
VS
O/U 6.5
VGK
2.15
Projected Score
Win Probability
COLVGK
-1.5
Spread (COL)
6.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 71.6% (1,083 games)
Projected Goals Range 10th – 90th percentile
VGK
1.12.13.2
COL
2.83.95.0
Projected
COL 3.9 — VGK 2.15
Actual
COL 2 — VGK 4
Game Odds
COL ML
-172
VGK ML
+142
Puck Line
-1.5
Total
6.5
Edge Detail
COL Edge
+7.3%
VGK Edge
-11.9%
Projected Total
6.05
-0.45 vs line
Goalie Matchup
Akira Schmid
2-02.83 GAA88.2% SV
Scott Wedgewood
1-22.05 GAA92.1% SV
Special Teams
Power Play
Penalty Kill
90% Confidence: 73.7% – 75.2% home win probability
AI Intelligence Analysis
LEAN +1YELLOW ZONE52.8% WR (n=75)
COL is the superior team with elite goalie (Wedgewood .920 SV%) and better style profile, offering +7.3% edge, but Makar's injury reduces true advantage to ~+3-4%, and zone profile (52.8% WR on similar bets) suggests market is pricing accurately at -172; lean rather than bet due to calibration concern on high-edge home favorites.
Key Factors
- Goalie elite advantage: Wedgewood .9203 SV% (elite tier, 50 GP) vs Hart .9030 SV% (average, 30 GP) = +117 bps edge worth ~0.35 goals in playoff intensity
- Makar injury impact: #1 D out (23.2 TOI, 0.235 G/game) reduces model edge by ~3-4 percentage points (estimated -0.4 goal swing)
- Zone profile contradiction: Similar home favorite ML bets win at 52.8% WR (n=75), not 70.6% as model predicts — suggests overconfidence on high-edge picks
- Style mismatch advantage: COL balanced_elite (tempo 1.183, shot quality 1.116) vs VGK balanced (tempo 1.020) = minor tempo/efficiency edge to COL
- Market calibration: -172 vs 70.6% model = 7.36% gap; market move (-180 to -172) shows partial injury pricing but likely efficient final line
Risk Factors
- Home favorite ML at 70.6% prob underperforms: historical zone data (52.8% WR) suggests market is more efficient than model accounting for
- Playoff single-game variance: zone profiles based on regular season data; playoffs have higher volatility and lower predictability per calibration history
- Makar injury may not be fully quantified: true impact could be -0.5 to -0.6 goals if defensive zone breakdowns cascade; model assumes linear reduction
GOALIE CONFIRMEDGOALIE ELITEINJURY IMPACTLINE VALUEHOME ICEYELLOW ZONE
Edge Analysis
Moneyline
COL 70.6%
+7.3 pts
Spread
-1.5
+7.3 pts
Total
6.5
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How this prediction was generated: This page shows output from the Olympus Bets NHL Hockey Monte Carlo engine. Each game is simulated 10,000 times using real-time team data, injury reports, and current odds. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →