NHL Hockey

COL vs MIN Prediction

May 9, 2026

10,000 Monte Carlo simulations

FINAL: MIN 5 — COL 1. Our Monte Carlo simulation projected MIN 2.52 - COL 4.12 (COL at 62.5% win probability). The spread is 1.5 and the total is 6.5.

MIN
2.52
Projected Score
VS O/U 6.5
COL
4.12
Projected Score
Win Probability
37.5%
62.5%
MINCOL
+1.5
Spread (MIN)
6.5
Total Line
10,000
Simulations
COL L4MIN W5
Calibrated accuracy at this confidence: 61.6% (1,083 games)

Projected Goals Range 10th – 90th percentile

COL
3.04.15.2
MIN
1.42.53.6
FINALMIN 5 — COL 1
Projected
MIN 2.52 — COL 4.12
Actual
MIN 5 — COL 1

Pick Results

COL MLmlLOSS-0.50u

Game Odds

MIN ML
+110
COL ML
-130
Puck Line
+1.5
Total
6.5
Model Quality62/100 (STRONG)

Edge Detail

MIN Edge
-10.1%
COL Edge
+6.0%
Projected Total
6.65
+0.15 vs line

Goalie Matchup

Scott Wedgewood
1-22.05 GAA92.1% SV
VS
Filip Gustavsson
31-192.71 GAA90.3% SV

Special Teams

Power Play
COL
17.4%
MIN
24.0%
Penalty Kill
COL
84.7%
MIN
77.1%
90% Confidence: 26.3% – 27.8% home win probability

AI Intelligence Analysis

LEAN +1YELLOW ZONE46.8% WR (n=82)
COL's elite goaltending (Wedgewood .9215 ELITE tier) + Minnesota's key injuries (Eriksson Ek center OUT) + COL's 5-0 form vs MIN's balanced form creates 6% model-market gap that market underprices given zone YELLOW baseline.

Key Factors

  • Elite goalie advantage: Wedgewood ELITE .9215 SV% (49 GP) vs Wallstedt avg .9134 (40 GP) — 0.81% SV% gap = +0.3-0.4 expected goals swing FOR COL
  • Top-line injury for MIN: Eriksson Ek (C, 18.2 TOI, 0.286 G/GP, played 70 games) OUT — estimated -0.2 to -0.3 goal swing, not fully priced at -130 line
  • Elite form gap: COL 5-0 L5 (5.0 GF, 2.4 GA, 2.6 GD) vs MIN 3-2 L5 (4.0 GF, 4.0 GA, 0.0 GD) — massive difference in trending
  • Record gap: COL 55-16-11 (.746 Pts%) vs MIN 46-24-12 (.659 Pts%) — 8.7% point percentage gap is elite vs very-good
  • Model-market spread: 1.596 vs 1.5 market line = +0.096 goal edge, minimal but positive line value on moneyline

Risk Factors

  • Away favorite underperformance: Zone 46.8% WR (n=82) contradicts directional call; historical data shows away favs lose more than expected despite strong teams
  • Playoff volatility: Min's Wallstedt could have hot night (goalie form streaks real in playoffs); Wedgewood's .9215 could regress; variance is extreme
  • Model calibration on away favs: Combo zone NHL|ml|any|away only 43.3% WR (n=14, small sample), suggests model overestimates away ML edge
GOALIE CONFIRMEDGOALIE ELITEGOALIE FORM HOTINJURY IMPACTLINE VALUEREST EDGE

Edge Analysis

Moneyline
COL 62.5%
-10.1 pts
Spread
+1.5
-10.1 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 →

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