FINAL: PHI 0 — PIT 7. Our Monte Carlo simulation projected PHI 2.86 - PIT 3.12 (PHI at 50.8% win probability). PHI wins more simulations despite the lower average score.
PHI
2.86
Projected Score
VS
PIT
3.12
Projected Score
Win Probability
PHIPIT
N/A
Spread
N/A
Total Line
10,000
Simulations
PIT W5PHI L5
Calibrated accuracy at this confidence: 51.5% (1,180 games)
Projected Goals Range 10th – 90th percentile
PIT
2.03.14.2
PHI
1.82.93.9
Projected
PHI 2.86 — PIT 3.12
Actual
PHI 0 — PIT 7
Pick Results
PIT MLmlWIN+0.60u
Goalie Matchup
Sergei Murashov
1-12.56 GAA89.7% SV
Dan Vladar
29-142.42 GAA90.6% SV
Special Teams
Power Play
Penalty Kill
90% Confidence: 44.7% – 46.3% home win probability
AI Intelligence Analysis
NEUTRAL -1
Model is essentially a coin flip (50.76% PHI) while the market prices PHI at -148 (59.7% implied) — an 8.94pp overconfidence gap with no exploitable edge when our own model is indifferent.
Key Factors
- Model indifference: 50.76% PHI win probability is effectively a coin flip, signaling a tightly matched game despite market's clear favorite pricing
- Goalie SV%: Vladar.9087 vs Silovs.8920 (+1.67pp) favors PHI, yet the model still can't separate the teams meaningfully
- Tempo/offense mismatch: PIT (tempo 1.039, shot quality 1.052, 3.298 G/gm) offsets PHI's defensive structure (grinding_defensive archetype) and home ice
- Market overconfidence: 59.7% implied vs model's 50.76% is an 8.94pp gap suggesting the market has overpriced PHI's home-ice edge
- Injury: Grebenkin (RW, Out) is a minor -0.05 goal swing, already baked into PHI's projected output
Risk Factors
- Coin-flip model output means there is no genuine statistical edge to exploit on either side
- Home favorite with negative edge bucket (-8.92%) sits historically mixed that has historically underperformed (a supportive track record, n=7)
- Market is pricing PHI as a clear favorite (-148) that our fundamentals-based model does not support, raising the risk of a public-money trap on a season opener
Edge Analysis
Moneyline
PHI 50.8%
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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 →
Permanent record: this game page is retired 90 days after the event. The full graded NHL 2026 record — every pick, win rate, units and ROI — lives on the NHL 2026 season report card.