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Boston Bruins at San Jose Sharks

NHLregular • 2026-27 Season
completed
Sharks logo
Sharks
San Jose
3
vs
Bruins logo
Bruins
Boston
6
SJS 40%60% BOS
Prediction Confidence:
Moderate

Boston Bruins 60% to win. The top 3 signals favoring Bruins:

  • Injuries. Bruins healthier: 0 out, 0 doubtful vs Sharks 4 out, 0 doubtful
  • ELO Rating. Sharks ELO 1453 vs Bruins ELO 1520 (diff: -67)
  • Recent Form. Bruins (4-2) in better form than Sharks (3-2)

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VenueSAP Center at San Jose
San Jose, CA

Team Comparison

Head-to-head snapshot based on our model inputs

Bruins (away)
Sharks (home)
60%
Win probability
40%
1
High-impact factors
0
0
Players ruled out
0

Post-Game Analysis

How our model performed

The Bruins defeated the Sharks 6-3.

Our model predicted the Bruins would win with 60% confidence -- and they delivered. Even with modest confidence, the model got this one right.

Looking at the factors our model weighed:

  • Injuries favored the Bruins and was a major factor: Bruins healthier: 0 out, 0 doubtful vs Sharks 4 out, 0 doubtful
  • Home Field Advantage favored the Sharks and was a notable factor: Sharks are 3-2 at home this season; Bruins are 1-3 on the road
  • ELO Rating favored the Bruins and was a contributing factor: Sharks ELO 1453 vs Bruins ELO 1520 (diff: -67)
  • The Sharks are without 4 player(s) due to injury, which could tilt the matchup.

This analysis was generated from our model's pre-game assessment compared against the actual result. Factor accuracy helps improve future predictions.

Bruins won 3-6

Bruins won in a close game

Prediction CorrectWe predicted Bruins at 60%

Key Factors

What's driving the win probability for this game

  • InjuriesFavors Boston Bruins
  • Home Field AdvantageFavors San Jose Sharks
  • ELO RatingFavors Boston Bruins
  • Recent FormFavors Boston Bruins
  • Rest DaysNeutral
  • Head to HeadNeutral
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What's Driving This Game

Each factor's contribution to the final win probability

BOS
SJS
Injuries
Home Field Advantage
ELO Rating
Recent Form
Favours BOS|Favours SJS

Premium feature: factor breakdown

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Model vs. Market

Comparing our model against market-implied probabilities

Sharks

Our Model40%

Bruins

Our Model60%

Understanding the win probability calculation

Injuries

Bruins healthier: 0 out, 0 doubtful vs Sharks 4 out, 0 doubtful

Bruins
Model version: 1.1.0 • Calculated: 10/14/2026, 3:00:01 AM

Key Players

Bruins

Michael DiPietroG
Jeremy SwaymanG
Pavel ZachaC
Casey MittelstadtC
Matthew PoitrasC

Sharks

Kyle KeyserG
Yaroslav AskarovG
Alex NedeljkovicG
Ty DellandreaC
Alex Barre-BouletC

Learn About Our Analysis

Learn about the factors behind our predictions

Frequently Asked Questions

Sharks has a 40% win probability, while Bruins has a 60% win probability based on our analysis.

Our model considers offensive and defensive efficiency, rest days, injury impact, and historical performance.

This game is being played at SAP Center at San Jose in San Jose, CA.

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