BUF vs MTL prediction for May 10, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects MTL 2.51 - BUF 3.02. BUF is favored with a 53.0% win probability. The spread is -1.5 and the total is 5.5.
MTL
2.51
Projected Score
VS
O/U 5.5
BUF
3.02
Projected Score
Win Probability
MTLBUF
-1.5
Spread (MTL)
5.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 51.5% (1,083 games)
Projected Goals Range 10th – 90th percentile
BUF
1.93.04.1
MTL
1.42.53.6
Projected
MTL 2.51 — BUF 3.02
Actual
MTL 6 — BUF 2
Game Odds
MTL ML
-128
BUF ML
+106
Puck Line
-1.5
Total
5.5
Edge Detail
MTL Edge
-9.2%
BUF Edge
+4.5%
Projected Total
5.53
+0.03 vs line
Goalie Matchup
Ukko-Pekka Luukkonen
24-242.49 GAA90.9% SV
Jakub Dobes
7-42.72 GAA90.3% SV
Special Teams
Power Play
Penalty Kill
90% Confidence: 40.7% – 42.3% home win probability
AI Intelligence Analysis
NEUTRAL -1YELLOW ZONE47.3% WR (n=81)
Away underdog ML has catastrophic 37.5% historical win rate despite +4.4% model edge; market is correctly pricing ANA at near-fair value, model overestimating away dog value due to goalie quality parity and neutral rest/form.
Key Factors
- Away underdog ML: 37.5% historical WR (15-40 all-time, -16.5u) — worst category in model
- Goalie matchup even: Lyon .911 SV% vs Dobes .904 SV% (0.7% gap, negligible) — no goalie edge
- Form neutral: BUF 3-2 L5 (+1.0 GD) vs MTL 3-2 L5 (+0.6 GD) — essentially identical recent performance
- Rest even: Both 2 days, not B2B, minimal distance — no scheduling advantage
- Zone YELLOW: 47.3% WR on away underdog ML (n=81) — confirms model overestimating edge
Risk Factors
- Away dog bet type: 37.5% WR historically, massive negative EV despite +4.4% model edge
- Market correctly pricing: ANA-128 / BUF+106 fair value, model not finding hidden +4.4% edge
- Goalie quality parity: Neither starter is elite (both 'average' tier), cannot justify away dog premium
AWAY DOG POISONZONE YELLOWGOALIE EVEN MATCHMODEL MARKET CONFLICTFORM NEUTRAL
Edge Analysis
Moneyline
BUF 53.0%
-9.2 pts
Spread
-1.5
-9.2 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. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →