FINAL: OTT 6 — CAR 3. Our Monte Carlo simulation projected OTT 2.31 - CAR 3.5 (CAR at 59.0% win probability). The spread is 1.5 and the total is 6.5.
OTT
2.31
Projected Score
VS
O/U 6.5
CAR
3.5
Projected Score
Win Probability
OTTCAR
+1.5
Spread (OTT)
6.5
Total Line
5,000
Simulations
CAR L4OTT
Calibrated accuracy at this confidence: 60.2% (868 games)
Projected Goals Range 10th – 90th percentile
CAR
2.43.54.6
OTT
1.22.33.4
Projected
OTT 2.31 — CAR 3.5
Actual
OTT 6 — CAR 3
Pick Results
Under 6.5totalLOSS-1.00u
Game Odds
OTT ML
+114
CAR ML
-135
Puck Line
+1.5
Total
6.5
Edge Detail
OTT Edge
-5.8%
CAR Edge
+1.6%
Projected Total
5.80
-0.70 vs line
Goalie Matchup
Brandon Bussi
0-02.46 GAA89.4% SV
Linus Ullmark
25-142.84 GAA88.6% SV
Special Teams
Power Play
Penalty Kill
90% Confidence: 34.8% – 47.1% home win probability
AI Intelligence Analysis
LEAN +1GREEN ZONE55.0% WR (n=86)
CAR's elite form (W3, +18 GD L5, balanced_elite profile) and balanced_elite archetype clash with OTT's cold streak, creating mid-range value despite away status and B2B fatigue.
Key Factors
- Form dominance: CAR 4-1 L5 (+18 GD) vs OTT 1-4 L5 (-12 GD) — 30-point swing in goal differential indicates performance delta
- Style matchup: CAR balanced_elite (60 Corsi%, 2.994 xGF/60) beats OTT balanced_elite (53 Corsi%, 2.648 xGF/60) — elite vs above-average
- Goalie parity: Bussi (.905, 2.8 GAA) vs Ullmark (.910, 2.72 GAA) — no advantage, both average tier
- Model edge +1.52%: Within 55-60% zone with 55% floor WR, justified for LEAN classification
Risk Factors
- B2B + travel: CAR played PIT last night 981 miles away, now plays B2B on road — historical road B2B fatigue -0.25 goals vs rested opponent
- Form regression risk: CAR W3 streak could be due for correction, especially on B2B
- OTT home ice: Even in cold streak, OTT gets 0.25 goal HIA boost, which reduces CAR's edge to ~1.2%
HOT STREAK CARCOLD STREAK OTTBALANCED ELITE ARCHETYPEB2B FATIGUETRAVEL EDGE AGAINSTFORM REGRESSION RISK
Edge Analysis
Moneyline
CAR 59.0%
-5.8 pts
Spread
+1.5
-5.8 pts
Total
6.5
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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 5,000 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 →