NHL Hockey

MTL vs BUF Prediction

May 18, 2026

10,000 Monte Carlo simulations

MTL vs BUF prediction for May 18, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects BUF 3.02 - MTL 2.43. BUF is favored with a 58.6% win probability. The spread is -1.5 and the total is 5.5.

BUF
3.02
Projected Score
VS O/U 5.5
MTL
2.43
Projected Score
Win Probability
58.6%
41.4%
BUFMTL
-1.5
Spread (BUF)
5.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 59.3% (1,088 games)

Projected Goals Range 10th – 90th percentile

MTL
1.32.43.5
BUF
1.93.04.1
FINALBUF 2 — MTL 3
Projected
BUF 3.02 — MTL 2.43
Actual
BUF 2 — MTL 3

Game Odds

BUF ML
-115
MTL ML
-104
Puck Line
-1.5
Total
5.5
Model Quality58/100 (GOOD)

Edge Detail

BUF Edge
+5.1%
MTL Edge
-9.6%
Projected Total
5.45
-0.05 vs line

Goalie Matchup

Jakub Dobes
7-42.72 GAA90.3% SV
VS
Ukko-Pekka Luukkonen
24-242.49 GAA90.9% SV

Special Teams

Power Play
MTL
23.2%
BUF
19.7%
Penalty Kill
MTL
77.4%
BUF
81.3%
90% Confidence: 58.4% – 60.0% home win probability

AI Intelligence Analysis

NEUTRALYELLOW ZONE52.0% WR (n=76)
This Game 7 playoff matchup is already resolved with MTL winning 3-2 in OT (May 18, 2026) — cannot be analyzed or wagered on. Post-hoc analysis reveals model underweighted MTL's superior L5 form advantage and power play edge in a high-variance playoff environment.

Key Factors

  • MTL 3-2 L5 form (4.4 GF, 3.4 GA) vs BUF 2-3 L5 form (3.4 GF, 4.4 GA) — Montreal had +1.0 goal differential advantage in recent sample
  • Power play edge: MTL 23.21% PP vs BUF 19.73% PP (2.48% advantage) — critical in OT playoff scenarios where special teams dominate
  • Goalie matchup: Dobes (.902 SV%) vs Luukkonen (.906 SV%) — marginal advantage to BUF starter, not enough to overcome form disadvantage
  • Home ice advantage (BUF): ~0.25 goals estimated value, partially negated by MTL's superior L5 form and fresher defensive structure
  • Zone: Home favorite ML with 5.1% edge lands in YELLOW zone (52.0% WR, n=76) — marginal expectancy that market correctly identified as near-coin-flip

Risk Factors

  • Playoff hockey eliminates xGF predictability: single-goal games are variance-driven, and a one-goal swing (Game 7 OT winner) is not modeled effectively by Pinnacle engine
  • Postseason goalie performance is streaky and hard to quantify; Dobes had hot-goalie performance that xGF/SV% metrics don't fully capture
  • Market efficiently priced this as toss-up despite BUF home advantage; model's 5.1% edge was in the weakest zone (YELLOW) where high-edge claims often fail
GAME RESOLVEDPLAYOFF GAMEOUTCOME KNOWNMTL WINNER 3-2 OTMODEL PREDICTION WRONGHIGH VARIANCE ENVIRONMENT

Edge Analysis

Moneyline
BUF 58.6%
+5.1 pts
Spread
-1.5
+5.1 pts
Total
5.5
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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. Full methodology →

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