● METHODOLOGY

How the AI Model Works

Every pick on Bookie Bullies comes from a documented, reproducible AI model. No black box, no tout hype. Here's exactly what goes in, what comes out, and how picks are graded.

Updated 2026-04-24

MLB + NBA coverage

Positive-EV filter

The Model in One Paragraph

For every game on the slate, the model ingests sport-specific inputs, simulates the matchup, and produces a win probability for each side. That probability is compared to the market moneyline. If the model's probability is higher than the market implies, the pick has positive expected value. Only positive-EV picks make the card. Every side also gets a confidence rating and a Kelly-fraction staking suggestion.

MLB Inputs

Starting pitchers: ERA, xFIP, stuff+, pitch mix, recent form, batter-handedness splits.
Bullpen: reliever strength, rest days, high-leverage usage, recent workload.
Offense: team wOBA splits vs. RHP/LHP, recent-form adjustment, lineup order.
Park factors: run-scoring environment, HR-factor, foul-territory adjustments.
Weather: wind direction and speed, temperature, precipitation risk.
Umpire: strike zone tendencies (K% delta vs. league average).
Lineups: live lineup card once posted, fallback to projected lineup.
Travel + rest: back-to-back travel, time zone crossings.

NBA Inputs

Team ratings: offensive and defensive rating, adjusted for recent form.
Pace: projected possessions based on both teams' pace.
Home court: team-specific home court advantage points.
Rest: days of rest, back-to-back status for both teams.
Travel + altitude: miles traveled, time zone crossings, altitude at venue.
Injuries: VORP lost from inactive players (replacement-level model).
Line movement: spread, total, and moneyline deltas since open; steam flag.

How Probability Becomes a Pick

Raw model output is a margin or total estimate. That gets converted to a win probability via a normal CDF with sport-specific standard deviations. The raw model probability is then blended with the market-implied probability (default weight 40% model, 60% market) to shrink overconfident predictions and avoid over-betting noisy inputs. The final blended probability is compared to the market moneyline. Expected value is calculated as (prob × decimal odds) minus 1. Only picks with positive EV make the card.

Confidence Tiers

Confidence is independent of expected value. It measures signal strength, not edge size.

Lock: Inputs strongly agree, low variance, multiple corroborating signals.
Strong: Clear lean with one or two light counter-signals.
Lean: Model edge exists but inputs disagree or sample is thin.
Pass: No edge, no pick issued. These don't appear on the card.

Staking Suggestion

Every pick carries a unit-size suggestion based on a fractional-Kelly calculation (quarter-Kelly by default) against the blended probability. The suggestion is informational. Users set their own bankroll rules. Bookie Bullies does not provide money management advice and is not a licensed financial adviser.

Public Grading

Every pick gets logged the moment it's published. Graded outcomes (W / L / P for push) are posted by 8 AM Pacific the next morning. The running record is visible on the archive page. Nothing is hidden, edited, or retroactively removed.

Caveats + Limits

Models are probabilistic. Even positive-EV picks lose, often in streaks. Variance is real and the sample size required to confirm edge is in the thousands of picks, not dozens. Models also miss real-world context: last-minute injury news, umpire substitutions, weather that shifts late. Treat the output as a starting point, not a command. Wager only what you can afford to lose. Gambling problem? Call 1-800-GAMBLER.