Nick Slade said Dimers’ machine‑learning engine ran 10,000 simulations of Saturday’s Dodgers‑Rangers matchup and landed on Texas 51% of the time, creating a small edge against the market‑wide ‑110 moneyline. The model also preferred Rangers +1.5 runs (priced ‑178) with a 64% cover probability and projected the 8‑run total to go over 55% of the time. Slade noted the pitching matchup—Nathan Eovaldi (1‑2, 2.55 ERA) versus rookie Roki Sasaki (0‑1, 3.29 ERA)—and recent data inputs as key factors baked into the simulations. Bettors looking for plus‑EV spots are encouraged to take the Rangers straight up or on the run line, with a lean toward the over.

Slade noted the same 10,000‑run simulation spits out a 52% probability that Reds‑Orioles finishes below the 9‑run total. The projection leans on Hunter Greene’s sizzling 0.98 ERA through three starts and Baltimore rookie Brandon Young’s clean early stat line, plus a neutral weather forecast that isn’t expected to boost offense at Camden Yards. While only a slight edge, the model still prefers the under at current ‑105 odds.

Nick Slade said the Dimers MLB simulation model found its biggest advantage on Orioles +1.5 Saturday. After running 10,000 game simulations that factor in current lineups, park conditions at Camden Yards, and the Hunter Greene‑Brandon Young pitching matchup, the model gives Baltimore a 62% chance to cover the run line versus market odds of ‑156. That 11‑point edge makes the plus‑run‑and‑a‑half the top betting angle despite the Reds owning a narrow 51% win probability straight‑up.