Every settled MLB AI pick, archived with the original reasoning, line, and result.
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Our model's daily prop numbers vs the market — research and model-accuracy checks, not betting picks.
Our MLB AI pick Under 10.5 at -102 (5★ official tier) cashed. 5★ official model pick (3u). Frozen distribution shows 16.1% projected EV at the offered price; the uncertainty-adjusted lower bound is 8.4% (8.1-point probabil
Our MLB AI pick Under 7.5 at -112 (5★ official tier) lost. 5★ official model pick (3u). Frozen distribution shows 14.7% projected EV at the offered price; the uncertainty-adjusted lower bound is 11.7% (7.8-point probabi
Bad beat: Lost in 10-inning game after being tied at the end of regulation.. 5★ official model pick (3u). Frozen distribution shows 26.1% projected EV at the offered price; the uncertainty-adjusted lower bound is 22.9
Bad beat: Lost in 10-inning game after being tied at the end of regulation.
Our MLB AI pick Kansas City Royals at +178 (5★ official tier) cashed. 5★ official model pick (3u). Frozen distribution shows 20.5% projected EV at the offered price; the uncertainty-adjusted lower bound is 11.1% (7.4-point probabi
Our MLB AI pick Tampa Bay Rays at -128 (4★ official tier) cashed. 4★ official model pick (2u). Frozen distribution shows 9.1% projected EV at the offered price; the uncertainty-adjusted lower bound is 6.1% (5.1-point probabili
Our MLB AI pick Nick Fortes Over 0.5 hits at -162 (3★ official tier) lost. SLAM model edge: projected 1.032 hits, 65% to hit vs -162. Edge 3.3pt, EV 5.306270833185506%.
Our MLB AI pick Under 7.5 at -120 (4★ official tier) cashed. 4★ official model pick (2u). Frozen distribution shows 10.0% projected EV at the offered price; the uncertainty-adjusted lower bound is 7.1% (5.5-point probabil
Our MLB AI pick Brett Sullivan Over 0.5 total bases at +105 (0★ official tier) cashed. SLAM model edge: projected 1.144 total bases, 52% to hit vs +105. Edge 3.4pt, EV 6.907884577076451%.
Our MLB AI pick Cole Carrigg Over 0.5 runs at +155 (0★ official tier) lost. SLAM model edge: projected 0.603 runs, 43% to hit vs +155. Edge 3.9pt, EV 10.048939424410896%.
Our MLB AI pick Luis Rengifo Over 1.5 total bases at +175 (0★ official tier) lost. SLAM model edge: projected 1.558 total bases, 39% to hit vs +175. Edge 2.6pt, EV 7.266602856414728%.
Our MLB AI pick Ty France Over 1.5 total bases at +132 (0★ official tier) lost. SLAM model edge: projected 2.08 total bases, 47% to hit vs +132. Edge 3.9pt, EV 8.93721706046965%.
Our MLB AI pick Hunter Goodman Over 1.5 total bases at +115 (0★ official tier) lost. SLAM model edge: projected 2.443 total bases, 49% to hit vs +115. Edge 2.4pt, EV 5.212483134798185%.
Our MLB AI pick Grant McCray Over 0.5 hits at +100 (4★ official tier) lost. SLAM model edge: projected 0.812 hits, 55% to hit vs +100. Edge 4.7pt, EV 9.413703200383662%.
Our MLB AI pick Bryce Eldridge Over 1.5 total bases at +155 (4★ official tier) lost. SLAM model edge: projected 1.893 total bases, 43% to hit vs +155. Edge 4.1pt, EV 10.417924135442336%.
Our MLB AI pick Jung Hoo Lee Over 1.5 total bases at +160 (5★ official tier) cashed. SLAM model edge: projected 1.754 total bases, 44% to hit vs +160. Edge 5.2pt, EV 13.583634477602313%.
Our MLB AI pick Under 9.5 at -115 (5★ official tier) cashed. 5★ official model pick (3u). Frozen distribution shows 14.7% projected EV at the offered price; the uncertainty-adjusted lower bound is 11.4% (7.8-point probabi
Our MLB AI pick Jared Young Over 0.5 RBIs at +310 (5★ official tier) lost. SLAM model edge: projected 0.504 rbis, 28% to hit vs +310. Edge 3.6pt, EV 14.964717650483838%.
Our MLB AI pick Joey Bart Over 0.5 total bases at +100 (4★ official tier) cashed. SLAM model edge: projected 1.383 total bases, 56% to hit vs +100. Edge 5.9pt, EV 11.729808292175425%.
Our MLB AI pick Brandon Lowe Over 1.5 total bases at +140 (0★ official tier) lost. SLAM model edge: projected 2.31 total bases, 49% to hit vs +140. Edge 7.2pt, EV 17.207664976777004%.
Our MLB AI pick Gabriel Moreno Over 1.5 total bases at +135 (0★ official tier) cashed. SLAM model edge: projected 1.929 total bases, 47% to hit vs +135. Edge 4.8pt, EV 11.215502170309888%.
Our MLB AI pick Jared Jones Under 5.5 Ks at -139 (5★ official tier) cashed. SLAM model edge: projected 4.002 strikeouts, 68% to hit vs -139. Edge 10.2pt, EV 17.518086499108026%.
Our MLB AI pick Kyle Stowers Over 0.5 total bases at -105 (0★ official tier) lost. SLAM model edge: projected 1.383 total bases, 56% to hit vs -105. Edge 4.6pt, EV 9.051942704881121%.
Our MLB AI pick Brian Navarreto Over 0.5 total bases at +104 (0★ official tier) lost. SLAM model edge: projected 1.122 total bases, 53% to hit vs +104. Edge 4.3pt, EV 8.782952405910683%.
Our MLB AI pick Liam Hicks Over 0.5 total bases at -145 (0★ official tier) lost. SLAM model edge: projected 1.341 total bases, 62% to hit vs -145. Edge 3.2pt, EV 5.349237829390391%.
Our MLB AI pick Under 7.5 at -104 (4★ official tier) lost. 4★ official model pick (2u). Frozen distribution shows 9.0% projected EV at the offered price; the uncertainty-adjusted lower bound is 4.1% (4.6-point probabili
Our MLB AI pick Hunter Goodman Over 0.5 hits at -150 (3★ official tier) lost. SLAM model edge: projected 1.046 hits, 64% to hit vs -150. Edge 4.1pt, EV 6.8783045383713715%.
Our MLB AI pick Ty France Over 1.5 total bases at +133 (5★ official tier) lost. SLAM model edge: projected 2.243 total bases, 50% to hit vs +133. Edge 6.9pt, EV 16.157433080771465%.
Our MLB AI pick Michael King Under 17.5 Outs at +130 (5★ official tier) lost. SLAM model edge: projected 16.974 outs, 51% to hit vs +130. Edge 7pt, EV 16.195645771327005%.
Our MLB AI pick Under 9.5 at -118 (4★ official tier) lost. 4★ official model pick (2u). Frozen distribution shows 8.0% projected EV at the offered price; the uncertainty-adjusted lower bound is 5.1% (4.3-point probabili
Our MLB AI pick Bryce Eldridge Over 1.5 total bases at +175 (4★ official tier) cashed. SLAM model edge: projected 1.742 total bases, 40% to hit vs +175. Edge 3.8pt, EV 10.481792573328786%.
Our MLB AI pick Landen Roupp Under 5.5 Ks at -113 (3★ official tier) cashed. SLAM model edge: projected 5.238 strikeouts, 56% to hit vs -113. Edge 3.3pt, EV 6.27788088712834%.
Our MLB AI pick Houston Astros at -105 (4★ official tier) cashed. 4★ official model pick (2u). Frozen distribution shows 11.6% projected EV at the offered price; the uncertainty-adjusted lower bound is 8.7% (6.0-point probabil
Our MLB AI pick Under 10 at +100 (5★ official tier) cashed. 5★ official model pick (3u). Frozen distribution shows 22.8% projected EV at the offered price; the uncertainty-adjusted lower bound is 15.5% (12.1-point probab
Our MLB AI pick James Wood Over 1.5 total bases at +104 (0★ official tier) lost. SLAM model edge: projected 2.508 total bases, 53% to hit vs +104. Edge 3.5pt, EV 7.11115125612467%.
Our MLB AI pick Cade Cavalli Over 4.5 Ks at +108 (0★ official tier) lost. SLAM model edge: projected 5.268 strikeouts, 57% to hit vs +108. Edge 8.4pt, EV 17.56073558513782%.
Our MLB AI pick Nathan Lukes Over 1.5 total bases at +160 (0★ official tier) cashed. SLAM model edge: projected 1.778 total bases, 44% to hit vs +160. Edge 5.7pt, EV 14.853295766593389%.
Our MLB AI pick Under 9 at +100 (5★ official tier) cashed. 5★ official model pick (3u). Frozen distribution shows 13.4% projected EV at the offered price; the uncertainty-adjusted lower bound is 10.4% (7.4-point probabi
Our MLB AI pick Trevor Larnach Over 1.5 total bases at +110 (3★ official tier) lost. SLAM model edge: projected 2.127 total bases, 51% to hit vs +110. Edge 3.5pt, EV 7.415725516760485%.
Our MLB AI pick Victor Caratini Under 0.5 runs at -145 (3★ official tier) lost. SLAM model edge: projected 0.408 runs, 62% to hit vs -145. Edge 2.8pt, EV 4.8057990642335735%.
Our MLB AI pick Under 8 at -105 (4★ official tier) cashed. 4★ official model pick (2u). Frozen distribution shows 10.7% projected EV at the offered price; the uncertainty-adjusted lower bound is 4.1% (5.9-point probabil
Our MLB AI pick José Ramírez Under 0.5 RBIs at -155 (3★ official tier) cashed. SLAM model edge: projected 0.492 rbis, 65% to hit vs -155. Edge 4.1pt, EV 6.723134345920529%.
Our MLB AI pick Nicky Lopez Over 0.5 total bases at -145 (3★ official tier) lost. SLAM model edge: projected 1.146 total bases, 62% to hit vs -145. Edge 2.6pt, EV 4.367016791153278%.
Our MLB AI pick Under 8 at -101 (4★ official tier) cashed. 4★ official model pick (2u). Frozen distribution shows 11.8% projected EV at the offered price; the uncertainty-adjusted lower bound is 8.8% (6.5-point probabil
Our MLB AI pick Griffin Jax Over 5.5 Ks at +105 (5★ official tier) cashed. SLAM model edge: projected 6.228 strikeouts, 56% to hit vs +105. Edge 7.2pt, EV 14.752655276295801%.
Our MLB AI pick Joc Pederson Over 0.5 total bases at -160 (3★ official tier) cashed. SLAM model edge: projected 1.892 total bases, 65% to hit vs -160. Edge 3pt, EV 4.84033441105185%.
Our MLB AI pick Hunter Feduccia Over 0.5 total bases at +105 (3★ official tier) lost. SLAM model edge: projected 1.023 total bases, 52% to hit vs +105. Edge 3.2pt, EV 6.568538395129453%.
Our MLB AI pick Leody Taveras Under 1.5 total bases at -157 (0★ official tier) cashed. SLAM model edge: projected 1.097 total bases, 68% to hit vs -157. Edge 7pt, EV 11.473775046333673%.
Our MLB AI pick Taylor Ward Under 1.5 total bases at -159 (0★ official tier) cashed. SLAM model edge: projected 1.262 total bases, 65% to hit vs -159. Edge 4.1pt, EV 6.675913176813431%.
Our MLB AI pick Gunnar Henderson Under 1.5 total bases at -117 (0★ official tier) cashed. SLAM model edge: projected 1.306 total bases, 65% to hit vs -117. Edge 11.1pt, EV 20.6028729285473%.
Our MLB AI pick Under 9.5 at -115 (4★ official tier) lost. 4★ official model pick (2u). Frozen distribution shows 11.3% projected EV at the offered price; the uncertainty-adjusted lower bound is 4.3% (6.0-point probabil