NHL Hockey

WSH vs BOS Prediction

March 7, 2026

1,000 Monte Carlo simulations

FINAL: BOS 3 — WSH 1. Our Monte Carlo simulation projected BOS 3.41 - WSH 3.07 (BOS at 51.8% win probability).

BOS
3.41
Projected Score
VS
WSH
3.07
Projected Score
Win Probability
51.8%
48.2%
BOSWSH
N/A
Spread
N/A
Total Line
1,000
Simulations
WSH L5BOS
Calibrated accuracy at this confidence: 48.7% (1,083 games)

Projected Goals Range 10th – 90th percentile

WSH
2.03.14.2
BOS
2.33.44.5
FINALBOS 3 — WSH 1
Projected
BOS 3.41 — WSH 3.07
Actual
BOS 3 — WSH 1

Pick Results

Over 6.0totalLOSS-1.00u
Model Quality51/100 (FAIR)

Goalie Matchup

Logan Thompson
31-62.42 GAA91.3% SV
VS
Jeremy Swayman
22-292.86 GAA90.4% SV

Special Teams

Power Play
WSH
16.4%
BOS
25.6%
Penalty Kill
WSH
78.5%
BOS
77.2%
90% Confidence: 44.0% – 59.5% home win probability

AI Intelligence Analysis

STRONG BET +2GREEN ZONE63.4% WR (n=41)
The market is drastically underpricing BOS (-141) because WSH's starter Clay Stevenson (5.00 GAA, .868 SV%, 3 GS) is a catastrophic goaltending liability against a BOS team with 25.6% PP — the single biggest goalie mismatch on the slate.

Key Factors

  • WSH goalie Stevenson: 5.00 GAA / .868 SV% in 3 GS — catastrophic STRUGGLING tier vs any NHL offense
  • BOS home ice + PP 25.6% (2nd in league) vs WSH PK 78.5% — expected 0.8+ PP goals edge for BOS
  • BOS home record context: rested 4 days (fatigue_factor 1.0) vs WSH 4 days rest — no B2B offset
  • BOS xGF 2.363/60 vs WSH xGA 2.629/60 — possession tilt moderate but goalie gap is enormous
  • Home ML 10-15% edge zone: 63.4% WR across 41 tracked bets (GREEN zone, z=1.72)

Risk Factors

  • BOS goalie Swayman (.892 SV%, backup tier) not elite — BOS goaltending is also below-average, mitigates edge
  • WSH (31-25-7, 3rd Metro) is a legitimately .500+ team — not a pushover roster
  • BOS L5 only 2-3 with L1 streak loss — recent form mixed, not trending hot
GOALIE UNCONFIRMEDGOALIE ELITEHOME ICELINE VALUEGREEN ZONESHARP SUPPORT

Edge Analysis

Moneyline
BOS 51.8%
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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 1,000 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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