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: 61.7% (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
--
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. Full methodology →

Want Premium Predictions?

Get full access to all picks, detailed game-by-game analysis, and Kelly-optimized unit sizing across 9 leagues.

Go Premium Free Picks