MLB model parlays · parlay · 2026-07-26
product of 2 qualifying legs — same EV as the singles, compounded variance; exists to accrue the record
The bar is the edge: the gap between what the model thought this outcome was worth and what the exchange was asking for it. A ticket is only issued when that gap clears 5¢ after costs — the exchange spread, and a 1¢ haircut on Polymarket quotes because roughly 30% of them are already stale by the time we could act on one.
Model
16.5%
Paid
10¢
Edge
+6.1¢
Stake
17.1u
Full Kelly is growth-optimal only if the edge estimate is exactly right; overestimating it by 2× makes full Kelly growth-negative, which is easily done. Quarter Kelly keeps roughly 55% of the maximum log-growth and never lost more than half the bankroll across 2,000 simulated paths.
| Leg | Model | Price | Edge | Result |
|---|---|---|---|---|
| NYY moneyline @ 0.39NYY @ PHI | 49% | 39¢ | +10.4¢ | pending |
| COL moneyline @ 0.25COL @ MIL | 33% | 25¢ | +8.5¢ | lost |
A parlay’s price is the product of its legs, and so is its probability — on an exchange there is no parlay juice to beat, so the expected value is identical to betting the legs separately with the variance compounded. These exist to accrue a multi-leg record honestly, not because they should win.
Not the same question as “did it win”. A bet at 38% loses nearly two times in three when it is priced perfectly, so a loss is not evidence of a mistake and a win is not evidence of skill. The closing price is the better judge — it is the market’s final answer, and it is calibrated almost perfectly.
Wrong bet, wrong result.
The market closed at 8¢ against the 10¢ we paid — it moved −1.6¢ away from us. That is evidence the price we took was not cheap.
Lost — staked 17.1u, returned −17.1u
This number cannot promote or kill a strategy on its own. A genuine 5–8% edge could not be proven at p<0.05 with 672 bets; it takes well over a thousand. P&L is reported here because hiding it would be its own kind of dishonesty, not because it decides anything yet.
Four features, each a difference between the two sides, each oriented so a bigger number favours the home team. They are standardised, weighted, summed, and squashed into a probability.
away starter ERA − home starter ERA
away WHIP − home WHIP
home runs scored/g − away runs scored/g
away runs allowed/g − home runs allowed/g
Published 2026-07-25. Each feature is standardised to the training mean and spread, multiplied by its weight, summed with an intercept of 0.120, and squashed through a logistic into a probability. Note what the fit actually learned: the starter ERA edge — the number a human would lead with — carries a weight near zero, and team offense carries the most. The model is not the story a fan would tell about a pitching matchup.
These are the live weights, not the ones frozen at this ticket’s issue time — the ratings behind them advance with every game, so the exact feature values this ticket saw are not recoverable. The stored 16.5% above point-in-time; the weight shape below is what the model looks like today.
No evidence favors parlays on an exchange — no parlay juice to avoid; same EV as the singles with compounded variance (BET-VETTING.md §5). Exists to accrue a multi-leg record honestly, not because it should win.
tier: shadow
One ticket proves nothing in either direction. The record that matters is the mean closing-line value across every ticket a strategy ever issued, with the failures still in the denominator — which is what the desk reports, and why its promotion gate is still two unfilled bars.
