MLB real data
MLB moneyline board.
Moneyline predictions run on our live MLB model. Run-line and total models are shown as projection context while edge and EV remain disabled.
Top Picks Today
Strongest current spots
Market implies 61% CIN, model has 58%. Abbott's 0.00 ERA in 6.0 IP is too small to trust; Lorenzen's 6.23 ERA in 4.1 IP is equally noisy. CIN's 6.1...
Model pick shown; AI Analyst note unavailable for this matchup.
Both pitchers are fallback data (Young 5.1 IP / 10 starts is obviously incomplete, away starter is TBD). Market data is stale. Model leans BAL at 5...
Model has SFG at 55.7% but market implies PHI 57.3% — a meaningful divergence. Sánchez's 0.00 ERA in 6 IP is tiny sample noise, but Webb's 10.80 ER...
Both starters are TBD with fallback stats showing minimal IP (6.0 and 4.0). No way to assess the actual matchup. Market data is stale so no anchor...
AI Analyst Today
Ranked MLB analyst slate
Model gives MIN 53.4% despite worse record (13-18 vs 14-16), worse offense (3.9 RPG vs 4.8), and worse OPS (.673 vs .786). Market correctly favors TOR at 54.6% implied...
Model favors DET at 55.2% but market has ATL at 54.8% — a rare convergence at coin-flip odds. ATL's 22-9 record and .789 OPS vs DET's .582 OPS is stark; offense_defens...
Market implies 61% CIN, model has 58%. Abbott's 0.00 ERA in 6.0 IP is too small to trust; Lorenzen's 6.23 ERA in 4.1 IP is equally noisy. CIN's 6.1 RPG offense vs COL'...
Model has SFG at 55.7% but market implies PHI 57.3% — a meaningful divergence. Sánchez's 0.00 ERA in 6 IP is tiny sample noise, but Webb's 10.80 ERA in 5 IP is real st...
Model has WSN at 55% but market implies NYM 65%—a 10-point gap flags structural miss. Both starters have 7.20 ERAs in tiny samples (5.0 IP each), rendering SP stats un...
MLB Board
Moneyline predictions with pitcher, projection, and market context
Market implies 61% CIN, model has 58%. Abbott's 0.00 ERA in 6.0 IP is too small to trust; Lorenzen's 6.23 ERA in 4.1 IP is equally noisy. CIN's 6.1...
Model pick shown; AI Analyst note unavailable for this matchup.
Both pitchers are fallback data (Young 5.1 IP / 10 starts is obviously incomplete, away starter is TBD). Market data is stale. Model leans BAL at 5...
Model has SFG at 55.7% but market implies PHI 57.3% — a meaningful divergence. Sánchez's 0.00 ERA in 6 IP is tiny sample noise, but Webb's 10.80 ER...
Both starters are TBD with fallback stats showing minimal IP (6.0 and 4.0). No way to assess the actual matchup. Market data is stale so no anchor...
Model favors DET at 55.2% but market has ATL at 54.8% — a rare convergence at coin-flip odds. ATL's 22-9 record and .789 OPS vs DET's .582 OPS is s...
Model has WSN at 55% but market implies NYM 65%—a 10-point gap flags structural miss. Both starters have 7.20 ERAs in tiny samples (5.0 IP each), r...
Model has MIL 53.6%, market 53.8%—perfect convergence. Both pitchers show 10 starts but missing ERA/WHIP/K9 data entirely, making this effectively...
Model pick shown; AI Analyst note unavailable for this matchup.
Model gives MIN 53.4% despite worse record (13-18 vs 14-16), worse offense (3.9 RPG vs 4.8), and worse OPS (.673 vs .786). Market correctly favors...
Skenes' 67.5 ERA in 0.2 IP is a data artifact (likely opener role). Dobbins has no stats. Market implies 66.7% PIT; model says 50.6%. The 16-percen...