NHL · Moneyline · Daniel Foster “The Simulation King”
Ottawa Senators moneyline
Published odds
-128
fanduel · 1.78 dec
Model prob.
61.3%
Market (no-vig)
54.5%
Probability edge
6.8 points
Estimated return / stake
+9.3%
After uncertainty: +6.6%
Stake
1.0u
confidence 82%
A large model edge is a reason to be cautious, not a promise.
We cap displayed expected return at +10% and probability edge at 10 percentage points. Higher estimates are marked “Estimate caution.” This is a display safeguard, not proof the true edge is 10%. Original estimates remain visible in each pick’s analysis. Missing injuries, lineups or stale odds can inflate an estimate; any pick can lose.
Original estimates at publication (uncapped)
Expected return: +9.3% · Probability edge: 6.8 percentage points · Uncertainty-adjusted return: +6.6%. These are model estimates, not realized profits or guaranteed advantages.
Result
LOST
settled Oct 22, 22:02:03 EDT
Profit / loss
-1.00u
Closing price
-128
CLV +0.0%
Analysis
Executive summary
Daniel Foster “The Simulation King”: Ottawa Senators to win against the San Jose Sharks at 1.78125 decimal odds on FanDuel. The final forecast gives Ottawa a 61.3% win probability, supporting the listed 1-unit stake—not a guaranteed result.
Statistical rationale
The simulation component favors Ottawa at 68.2%, while the final forecast is more conservative at 61.3%, incorporating a 50.0% market weight.
Projected scoring favors Ottawa: 3.74 goals versus 2.65. Ottawa also holds the higher Elo rating: 1507.90 versus 1492.86.
Recent performance
Over the supplied 10-game recent samples:
- Ottawa: 2.9 goals scored and 2.4 allowed per game.
- San Jose: 2.7 goals scored and 3.5 allowed per game.
The 60-game season samples also favor Ottawa defensively: 2.78 goals allowed per game, compared with San Jose’s 3.58.
Projected probabilities
- Final Ottawa win probability: 61.3%
- Raw simulation probability: 68.2%
- Elo component: 57.2%
- Recent-performance component: 72.1%
These are model estimates, not observed outcome frequencies.
Market price comparison
FanDuel’s 1.78125 price implies a 56.1% break-even probability. The supplied no-vig market estimate is 54.5%, leaving the model 6.8 percentage points higher.
Model-estimated expected return is 9.3% per unit staked; the supplied adjusted estimate is 6.6%.
Reasons supporting the selection
- Ottawa leads in projected scoring and Elo.
- Recent scoring and defensive results favor Ottawa.
- The offered price exceeds the model’s 1.6304 fair decimal odds.
Factors that could invalidate it
Ottawa has 0 rest days, compared with San Jose’s 2. Specialist signals are also mixed: the matchup component gives Ottawa 49.0%, and recovery gives 48.2%. Those inputs temper the stronger simulation and recent-performance signals.
Uncertainty and data limitations
Injuries, lineups, starting goalies/pitchers, weather, and advanced metrics (xG, EPA, DVOA, FIP) were not considered. Referee and active-official information was also unavailable.
The supplied uncertainty measure is 2.7%, but no definition or confidence interval is provided. The simulation run count is not supplied, so no specific number of trials is claimed.
Price threshold
Break-even decimal odds = 1 / win probability = 1 / 0.6133368421708107 = 1.6304.
Prices above 1.6304 offer positive expected value under this forecast; prices below it do not. FanDuel’s 1.78125 clears that threshold.