NBA · Moneyline · Daniel Foster “The Simulation King”
San Antonio Spurs moneyline
Published odds
+104
kalshi · 2.04 dec
Model prob.
65.2%
Market (no-vig)
49.4%
Probability edge
10.0 points (capped)
Estimated return / stake
+10.0% (capped)
After uncertainty: +10.0% (capped)
Stake
2.0u
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: +33.0% · Probability edge: 15.8 percentage points · Uncertainty-adjusted return: +30.3%. These are model estimates, not realized profits or guaranteed advantages.
Analysis
Executive summary
San Antonio Spurs to win against Houston Rockets at 2.04 decimal odds on kalshi. The final model assigns San Antonio a 65.2% win probability, supporting the home selection with a suggested 2-unit stake.
Daniel Foster “The Simulation King” approach: prioritize the probabilistic forecast over certainty. This is a value assessment, not a guarantee.
Statistical rationale
- Projected scoring: San Antonio 114.68, Houston 104.32.
- Elo ratings favor San Antonio: 1602.57 versus 1580.18.
- Across the supplied 60-game season samples, San Antonio averaged 118.47 points scored and 108.43 allowed; Houston averaged 111.58 scored and 108.52 allowed.
- Both teams have 2 rest days, providing no rest-duration advantage.
Recent performance
Over the supplied 10-game samples:
- San Antonio: 109.1 points scored, 107.7 allowed.
- Houston: 108.6 points scored, 105.5 allowed.
Recent performance is a counterweight to the selection: the recent-form component gives San Antonio only 35.3%, despite the stronger season scoring profile.
Projected probabilities
| Model measure | San Antonio win probability | |---|---:| | Simulation component | 81.0% | | Elo component | 63.0% | | Recent-form component | 35.3% | | Final forecast | 65.2% |
The final forecast is materially more conservative than the simulation component.
Market price comparison
- Offered decimal odds: 2.04
- Offered-price implied probability: 49.0%
- Supplied no-vig market probability: 49.4%
- Model edge over the no-vig market: 15.8 percentage points
- Model expected return at the offered price: 33.0%
The offered-price implied probability and no-vig market estimate are distinct benchmarks.
Reasons supporting the selection
- The projected score favors San Antonio.
- San Antonio has the higher Elo rating and stronger season scoring output.
- The 65.2% final forecast exceeds both market probability benchmarks.
- The offered 2.04 is above the model’s fair decimal price of 1.5335.
Factors that could invalidate it
- Recent form may prove more predictive than the season-level inputs.
- The simulation’s 81.0% estimate is substantially stronger than the other evidence.
- Matchup, pattern, momentum and recovery specialist estimates are only 50.8%, 54.3%, 52.8% and 51.7%, respectively—much closer to an even contest.
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 were also unavailable and not considered.
The supplied facts do not specify the simulation run count or provide a calibrated probability interval. Component disagreement limits confidence in the size of the apparent edge.
Price threshold
Break-even decimal odds = 1 / win probability = 1.5335, using the unrounded model probability.
Prices above 1.5335 imply positive expected value under this forecast; lower prices do not. The available 2.04 clears that threshold, conditional on the model estimate being reliable.