How Bet Better selects today's MLB prop bets Every prop starts with a probability estimate. We run Monte Carlo simulations across pitcher matchups, lineup quality, recent form, historical player distributions, and ballpark factors to produce a model probability for each outcome. That number is then compared to the implied probability from current sportsbook odds. The gap is the edge. Field What it means How to use it Probability Model's estimated chance the prop outcome happens. Compare to implied probability from the odds. Wider gap = more edge. Edge Model probability minus implied probability. Positive edge means the price looks undervalued. Higher edge props ranked first. Use edge to size bets, not just pick them. Decimal / American odds The current bookmaker price for the outcome. Verify this matches your sportsbook. Edge shrinks as odds shorten. Reasoning Model notes on why this prop shows edge — matchup context, usage patterns, recent form. Open to see the case for the pick before deciding whether to act. For related analysis see the MLB best bets page, MLB picks, MLB odds, and the MLB betting guide.
MLB prop bet markets explained Props let you focus on individual player performance rather than the game result. Here are the markets this page covers and what to consider for each. Strikeout props (pitcher): Bet on whether a starting pitcher will record over or under a set strikeout total. Strongly influenced by opponent strikeout rate, pitcher recent form, and expected pitch count. One of the most model-friendly markets due to its statistical predictability. Hits props (batter): Over/under on a batter's hits in the game. Affected by pitcher handedness matchup, recent batting average, and park factors. Lower totals (0.5 lines) create all-or-nothing propositions. Total bases: Over/under on combined bases from hits. Adds extra scoring for extra-base hits, making power hitters' props more interesting on days when wind and park conditions favour offence. Home run props: Binary market — does a batter hit a home run? Low implied probabilities create high payouts, and edge is meaningful even at smaller percentages. Model accounts for pitcher HR rate and batter's pull rate against arm side. RBI props: Highly context-dependent — influenced by lineup position, on-base teammates, and opponent tendencies. Slightly noisier than strikeout and total bases markets but can present value when matchup is strong.