How accurate are your MLB picks?

Our XGBoost machine learning model trained on 2,900+ games achieves 62.9% accuracy on head-to-head comparisons. We track every pick with full transparency — win rate, ROI, and edge breakdowns are all public.

What data does the MLB prediction model use?

Our model uses 22 signals including Statcast pitcher xwOBA, FIP/xFIP/SIERA, bullpen fatigue, confirmed daily lineups with platoon splits, park factors, weather and wind, home plate umpire tendencies, catcher framing, rest and travel, and Vegas line movement.

Are these MLB picks really free?

Yes, 100% free with no login required. Every daily pick, edge analysis, pitcher matchup, and player prop projection is available at no cost.

When are today's MLB picks posted?

Picks are generated 1-2 hours before the first game each day once confirmed lineups, pitcher assignments, and umpire data are available from the MLB API.

What is the MLB Edge Finder?

The Edge Finder identifies games where our model's win probability significantly differs from the Vegas implied probability. These gaps represent potential value bets, ranked by edge size with our GOLD, FIRE, and PLATINUM tier system.

MLB Betting & Analytics Blog

Plain-English guides to baseball betting, sabermetrics, and the model behind FreeMLBPicks. Learn how moneylines, run lines, props, and advanced stats actually work — then use our daily edges as a research tool. Everything here is free, evergreen, and written for bettors who want to understand the why.

How to Read MLB Moneylines, Run Lines, and Totals (Beginner's Guide) — Learn how MLB moneylines, run lines, and totals work — plus how to read odds and calculate implied probability like a pro. (Betting Basics, 6 min)
What Is a Betting Edge? Turning Model Probabilities Into Value — Understand what a betting edge really means and how to convert model win probabilities into actionable expected value in MLB betting. (Strategy, 7 min)
Understanding xwOBA, wRC+, and FIP: The Stats That Actually Predict Baseball — xwOBA, wRC+, and FIP cut through luck to reveal true player skill. Here's what they measure and why they matter for MLB betting. (Analytics, 7 min)
How MLB Pitcher Matchups Move a Game (and a Betting Line) — Pitcher matchups are the single biggest driver of MLB outcomes and betting lines. Here's how to analyze them beyond ERA. (Analytics, 6 min)
Park Factors Explained: Why Coors Field and Petco Park Change Everything — Park factors quantify how each MLB stadium affects scoring and outcomes. Here's why they're essential for totals and prop betting. (Analytics, 6 min)
Bullpen Fatigue and Why It Wrecks Late-Game Betting Assumptions — Bullpen fatigue is one of the most underappreciated variables in MLB betting. Here's how to track it and use it for an edge. (Analytics, 7 min)
Platoon Splits: How Lefty/Righty Matchups Create Prop Value — Platoon splits reveal massive performance gaps based on handedness matchups — and create exploitable edges in MLB props and totals. (Props, 6 min)
Kelly Criterion for Baseball Bettors: Sizing Bets Without Going Broke — The Kelly Criterion tells you exactly how much to bet based on your edge. Here's how to apply it correctly to MLB betting. (Strategy, 7 min)
MLB Strikeout Props: A Data-Driven Framework for Betting Ks — A systematic framework for betting MLB pitcher strikeout props using K-rate, lineup matchups, park context, and usage data. (Props, 7 min)
Home Run Props and Statcast: Finding Power in Barrel Rate and xSLG — Use Statcast's barrel rate and xSLG to find underpriced home run props. Here's how the data reveals true power hitters. (Props, 6 min)
Pythagorean Wins and Regression: Spotting Lucky and Unlucky MLB Teams — Pythagorean win expectancy reveals teams that are better or worse than their record suggests — and predicts future performance. (Analytics, 6 min)
Weather and Umpires: The Hidden Variables in MLB Totals — Wind, temperature, humidity, and umpire zone tendencies are underpriced variables in MLB totals. Here's how to use them systematically. (Betting Basics, 6 min)