MLB is arguably the best sport for prop betting — pitcher and hitter matchups are quantifiable, ballpark effects are measurable, and games happen 162 nights a year. Here's how EdgeAI thinks about each MLB prop.
Hits (typical line: 0.5 – 2.5)
The classic MLB batter prop. Signals EdgeAI weighs:
Opposing pitcher K/9. High-strikeout pitchers (10+ K/9) put fewer balls in play, suppressing hit props. Below-average K rates (under 7.5) let more balls find grass.
Platoon matchup. A left-handed batter facing a right-handed pitcher (cross-hand) typically hits 15–30 points higher than same-hand. EdgeAI uses each batter's actual split when 30+ at-bats support it.
Ballpark factor for singles. Coors Field and Fenway play as strong hitter parks; Petco and T-Mobile suppress hits.
Recent form. A batter on a 10-game hot streak has BABIP luck on his side; a slumping batter often stays cold longer than the season average suggests.
Total bases (typical line: 1.5 – 3.5)
Total bases weight extra-base hits: single = 1, double = 2, triple = 3, home run = 4. That means the analysis shifts toward power potential:
Pitcher's fly-ball vs ground-ball tendency. Fly-ball pitchers give up more extra-base hits.
Park HR factor. Different from the general park factor — Coors, Yankee Stadium, and Great American Ball Park all inflate home runs even more than singles.
Slugging percentage vs recent SLG. Season SLG can lag; the last 15 games often tell the truer story.
Weather (outdoor parks). Warmer air carries the ball further. Wind blowing out is a real edge; wind blowing in kills fly-ball props.
RBIs (typical line: 0.5 – 1.5)
RBIs are volatile because they depend on teammates being on base:
Lineup position. Batters in the 3–5 spots see the most RBI opportunities. Leadoff and 9-hole batters see far fewer.
Team OBP ahead of the player. If the batters hitting in front of your player are hot, runners will be on. If they're slumping, RBI chances dry up.
Opposing pitcher WHIP. High WHIP (over 1.35) means more baserunners overall, boosting RBI potential across the lineup.
Home runs (typical line: 0.5)
Home run props are binary and low-probability — most batters hit under 0.5 HR/g by a wide margin. Big signals:
Park HR factor — the strongest environmental signal in all of prop betting.
Pitcher HR/9. Some pitchers give up a lot of home runs; others suppress them regardless of park.
Recent power streak. Home run rates are streaky. A batter with 4 HRs in his last 10 games is a very different bet than one with 0.
Platoon. Cross-hand matchups boost HR probability meaningfully.
Pitcher strikeouts (typical line: 4.5 – 8.5)
The most predictable MLB prop. Key signals:
Season K/9 and recent K/9. If they diverge, weight the recent number heavier.
Opposing team's team K rate. Some lineups (contact hitters) strike out much less than others.
Expected innings pitched. A pitcher averaging 5 IP per start can't hit an 8.5 K line even with elite K/9. Match the line to expected IP.
Park doesn't matter much for pitcher K props — a swing-and-miss is a swing-and-miss anywhere.
What EdgeAI does automatically for MLB props
Pulls the opposing starter's ERA, WHIP, K/9, K per start, and pitching hand from the MLB Stats API.
Fetches the batter's platoon splits (vs LHP and vs RHP) with sample size, applying a 30-AB minimum trust threshold.
Loads the ballpark factor for hits/TB and separately for home runs.
Computes three overlapping stat windows (baseline 30g, edge 15g, form 10g) and flags trend shifts.
Assembles all of the above into a structured prompt and returns an OVER/UNDER recommendation with confidence.