MLB Batter Prop Projections

DraftEdge presents the MLB Player Prop Projections — your most trusted companion in the world of daily fantasy sports and player prop bets. Venture into a realm where data and analytics coalesce, offering insights derived from player performance, team dynamics, and the pulsating heartbeats of Vegas odds. Ready to command the diamond?

NOTICE: We made some major changes to MLB Player Props but if you prefer the old table format we still actively update this section as well, but it has moved here. Please let us know what you think about this new look and feel. We have been having some rather exciting results with the DraftEdge AI MSE v0.73 algorithm and our systems are constantly trying to beat our benchmarks, so we will continue to replace this model as we beat previous results.

Welcome to the DraftEdge MLB Player Prop Bets guide. Our DraftEdge AI MSE algorithm meticulously evaluates each prop bet, providing a color-coded assessment for easier understanding: Blue (Top Pick) for high confidence selections, Green (Strong Pick) for solid, reliable choices, Yellow (Slightly Favored/Neutral) for moderate suggestions, Red (Avoid) for picks best avoided.

Use the stat category buttons to tailor your view: Over/Under for betting direction, Hits (H), Home Runs (HR), Strikeouts (K), Runs (R), RBIs, and Stolen Bases (SB) to focus on specific player performance metrics.

Our projections include Floor (the minimum expected performance), Ceiling (the highest potential performance), and Volatility (variation in performance). These are contrasted against our AI's assessments. We also include Opponent Pitching Matchup analysis, Ballpark Factors, and other relevant metrics like Recent Form, Weather, Lineup Position, and Vegas Game Totals.

Explore further with our interactive tabs: Odds for a comprehensive comparison of betting lines, Logs for recent player performances, Splits for in-depth analysis over different parks, handedness, and conditions, and Charts for trends from the last 20 games, including expected vs actual performance.