NBA · Moneyline · Steven Mitchell “The Streak Breaker”
San Antonio Spurs moneyline
Published odds
+104
kalshi · 2.04 dec
Model prob.
60.7%
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: +23.9% · Probability edge: 11.3 percentage points · Uncertainty-adjusted return: +21.1%. These are model estimates, not realized profits or guaranteed advantages.
Analysis
Executive summary
Steven Mitchell “The Streak Breaker” — San Antonio Spurs moneyline at 2.04, kalshi.
The regression case is to buy San Antonio below its season scoring baseline, not chase recent form. The model gives the Spurs a 60.7% win probability, supporting the listed 2-unit selection without guaranteeing a rebound.
Statistical rationale
- San Antonio’s season scoring average is 118.47, versus 111.58 for Houston; points allowed are similar at 108.43 and 108.52, respectively.
- San Antonio leads in Elo: 1602.57 versus 1580.18.
- Both teams have 2 rest days, providing no rest differential.
- Model scoring projections favor San Antonio: 114.68–104.32.
The Spurs’ stronger season baseline supports a buy-low interpretation, although regression is not assured.
Recent performance
Over the supplied 10-game recent samples:
- Spurs: 109.1 points scored and 107.7 allowed.
- Rockets: 108.6 scored and 105.5 allowed.
San Antonio’s recent scoring is well below its 60-game season average. Houston also scores below its season baseline, while its recent points allowed are lower. Recent form is a counterargument to the pick: the model’s recent-performance component gives San Antonio just 35.3%.
Projected probabilities
- San Antonio win: 60.7%
- Houston win: 39.3%
- Push: 0.0%
Market price comparison
The offered 2.04 implies a 49.0% break-even probability. The supplied no-vig market probability is 49.4%, versus the model’s 60.7%.
That represents a 11.3-percentage-point model edge over the no-vig market and a modeled expected return of 23.9% at the quoted price.
Reasons supporting the selection
- San Antonio has the stronger season scoring baseline and higher Elo.
- Its depressed recent scoring creates a plausible regression opportunity.
- The offered 2.04 exceeds the model’s 1.6471 fair decimal price.
Factors that could invalidate it
- San Antonio’s scoring decline could reflect a persistent change rather than temporary underperformance.
- Houston’s lower recent points allowed could persist.
- The recent-performance component favors Houston, while the matchup specialist gives San Antonio only 50.8%—much closer to even than the final projection.
Uncertainty and data limitations
Injuries, lineups, starting goalies/pitchers, weather, and advanced metrics (xG, EPA, DVOA, FIP) were not considered, as listed unavailable. Referee and active-official information was also unavailable and not considered.
The supplied season and recent samples cover 60 and 10 games, respectively. These averages support a regression hypothesis but do not establish why performance changed. Component disagreement limits conviction in the final probability.
Price threshold
Break-even decimal odds = 1 / win probability = 1 / 0.6071453600615746 = 1.6471.
Under the supplied model, prices above 1.6471 offer positive expected value; 2.04 clears that threshold.