AI models that find where the MLB & NFL markets misprice probability — backtested across 7 seasons, stress-tested through 120 scenario simulations, and live since April 2026. They tell you what to bet, how much to bet, and exactly why.
Free 2-minute assessment · No credit card
You're betting into a market that already priced in everything you know. Intuition doesn't beat algorithms.
$200 on a 2% edge, $50 on a 7% edge. Most bettors size on conviction, not math. The Kelly criterion exists for a reason.
Without a system, a bad week becomes a bad month. You chase, you oversize, you abandon discipline. Math compounds against you.
Custom system trained on every MLB game since 2019. Home advantage, margin of victory, between-season regression.
Base ProbabilityComposite z-score: ERA, FIP, xFIP, SIERA, K-BB%. Regressed toward league average by IP. The heaviest-weighted factor.
30% WeightTeam OPS regressed toward .720, normalized to z-score. Full weight at 60 games into the season.
18% WeightLast 3 days of reliever workload. Fresh bullpen = real, exploitable edge the market underweights.
12% WeightCoors Field (114) vs. Miami (96) is an 18-point swing. The model adjusts for where the game is played.
7% WeightCross-country red-eye into a day game? Quantifiable disadvantage. The model sees what your eyes miss.
6% WeightThis is a real pick from our live system. Not a vague "lean" or a lock emoji on Twitter. You see the exact model probability, the market's implied probability, the calculated edge, and the mathematically optimal bet size for your bankroll.
Six factors broken down so you understand why the model likes the pick. Is it a pitching mismatch? A tired bullpen? An Elo gap the books haven't priced? You decide whether to follow.
Anyone can show a pretty backtest. We went further — running every possible ordering of five MLB seasons (all 120 permutations) to answer the question most systems avoid:
Every single permutation ends profitable. Even the worst-case scenario — where the toughest seasons hit back-to-back — turns $10K into $57K.
| Typical Tout | PICKSJUICE | |
|---|---|---|
| Methodology | "Trust me bro" | 6-factor logistic regression |
| Edge quantified? | ✕ Star ratings | ✓ Exact % on every pick |
| Bet sizing | ✕ "3-unit play" | ✓ Kelly criterion |
| Transparency | ✕ Black box | ✓ Every factor visible |
| Track record | ✕ Self-reported, cherry-picked | ✓ 7-season backtest + 120 stress tests |
| Risk management | ✕ None | ✓ Floor protection, dynamic caps |
| Bad seasons | ✕ Hidden or blamed on luck | ✓ Disclosed — we show the drawdowns |
2-minute strategy assessment. We match you with the right model, sizing approach, and risk profile — then show you what the system has done.
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