MLB Picks Today: Predictions & Best Bets for July 27, 2026 | SharpSide

The Monday slate features 12 MLB matchups, and the SharpSide model has identified key discrepancies with market consensus. Our biggest total run edge today is 1.0 runs in the Arizona Diamondbacks at Pittsburgh Pirates game, where we foresee a much higher scoring affair than projected. This brief, and our specific plays, refresh at 11:30 am Eastern based on new analytics, weather factors, pitching changes, and line movement, so the featured matchups may update between the morning publish and that refresh. Today's Best Bet is highlighted for you immediately below.

Today's Best Bet: New York Yankees ML

Today's Best Bet is the New York Yankees ML (-141), representing the single game and line SharpSide has the highest confidence in predicting the outright winner. Our model projects the New York Yankees to win by a margin of 1.6 runs (5.4–3.8), which is 0.7 runs stronger than the market's implied margin. This is a conviction play, not necessarily driven by a significant market pricing discrepancy, but rather by the model's decisive projected outcome where its calculated chances of victory are at their highest. Best Bet: New York Yankees ML (-141)

Baltimore Orioles @ Detroit Tigers

The starting pitching matchup in Detroit features Kyle Bradish for the Orioles and Keider Montero for the Tigers. Bradish brings a solid 3.95 FIP, indicating he limits walks and home runs well independent of defense, and a 0.300 xwOBA-against, meaning the contact he allows averages out to be slightly better than league average. Montero counters with an even stronger 3.57 FIP and a very good 0.284 xwOBA-against, suggesting he allows weaker contact than Bradish. The SharpSide model projects a total of 8.7 runs for this game, a 0.2-run increase over the market's consensus. The Orioles enter this series opener on average form, going 6-4 in their last 10 games, having lost their most recent contest while scoring only two runs. The Tigers also hold a 6-4 record over their last 10, losing their last game while posting four runs. There are no notable park or weather conditions skewing the scoring projections for this contest.

How the model decided: The model’s projection for more runs was significantly influenced by offensive regression. The Detroit Tigers' 0.280 BABIP suggests they have been unlucky on balls in play this season, leading the model to regress their offense upward by +0.14 runs and push the total up. Furthermore, the Baltimore Orioles' tired bullpen, indicated by a fatigue index of 0.20, contributes to expecting more runs from the Tigers' late-inning hitters. Both teams' neutral baserunning also contributed to the total, but the BABIP regression was the largest mover. Lean: OVER 8.5 total (-110)

Arizona Diamondbacks @ Pittsburgh Pirates

This matchup pits Merrill Kelly for the Diamondbacks against Mitch Keller for the Pirates, with the SharpSide model projecting a significant deviation from the market consensus. Kelly carries a concerning 5.86 FIP and a 0.398 xwOBA-against, indicating he allows hard contact and struggles with home runs, as evidenced by his 1.91 HR/9. Keller, for Pittsburgh, presents a 4.38 FIP and a 0.348 xwOBA-against, also suggesting he allows above-average contact quality. The model's total projection is 10.0 runs, creating a substantial 1.0-run edge versus the market consensus. The Diamondbacks come into this series opener with a 6-4 record over their last 10 games, including a high-scoring 7-run loss in their most recent outing. The Pirates hold a 5-5 record in their last 10, having won their last game scoring eight runs. Neither team experiences any notable park or weather conditions influencing run scoring, and both teams show neutral baserunning.

How the model decided: The largest driver for the OVER lean stems from the model's regression on both offenses and the pitching weaknesses. The Arizona Diamondbacks' 0.278 BABIP suggests they have been unlucky on balls in play, driving an upward regression of +0.18 runs to their offense. Conversely, the Pittsburgh Pirates' 0.321 BABIP indicates they have been lucky, leading to a downward regression of -0.45 runs, but their overall offensive profile (supported by Merrill Kelly's poor xwOBA-against) means the total is still pushed up. Mitch Keller's short average workload of 5.00 IP per start exposes a Pirates bullpen with a 4.53 season relief ERA, worse than the league average of 4.10, further pushing runs up. The Arizona Diamondbacks' bullpen also projects for an additional +0.31 runs against. Lean: OVER 9.5 total (-106)

New York Yankees @ Chicago White Sox

In the series opener between the New York Yankees and the Chicago White Sox, Max Fried takes the mound for the Yankees, facing Noah Schultz for the White Sox. Fried is an elite arm, showcasing a stellar 2.58 FIP and a tiny 0.247 xwOBA-against, indicating he consistently limits baserunners and quality contact. His 0.13 HR/9 is also exceptional, suppressing home runs effectively. Schultz, on the other hand, posts a 5.30 FIP and a very high 0.369 xwOBA-against, suggesting he allows significantly harder contact and struggles to prevent walks and home runs. The SharpSide model projects the Yankees to score 5.4 runs and the White Sox to score 3.8 runs, for a combined total of 9.2 runs, showing a 0.7-run total edge over the market. The Yankees are 6-4 in their last 10 games, having lost their previous outing while scoring four runs. The White Sox also hold a 6-4 record over their last 10, winning their last game by scoring 12 runs. There are no notable park or weather conditions impacting this contest.

How the model decided: The lean towards the New York Yankees RL -1.5 is primarily driven by the significant pitching mismatch in favor of the Yankees. Max Fried's excellent 2.58 FIP and low 0.247 xwOBA-against strongly suppress the White Sox's projected runs. Concurrently, Noah Schultz's high 5.30 FIP and 0.369 xwOBA-against contribute to a higher run projection for the high-powered Yankees offense. Schultz's short average workload of 4.50 IP per start exposes his own White Sox bullpen which, despite a 3.90 ERA, has a model run nudge of -0.37, indicating expected underperformance tonight against the Yankees. The New York Yankees' 0.277 BABIP, indicating unlucky play, also led to an upward offensive regression of +0.20 runs, further strengthening the lean on their side. Lean: New York Yankees RL -1.5 (+121)

First Five Innings: Atlanta Braves @ New York Mets (F5 UNDER)

The First Five Innings play today is on the UNDER in the Braves-Mets matchup, driven by the pitching duel between Martín Pérez for Atlanta and Zac Thornton for New York. Pérez comes into this contest with a blended F5-only ERA of 3.42 over a significant sample size, while Thornton, despite a smaller sample, has a strong blended F5-only ERA of 2.77. The model projects an F5 total of 2.94 runs, which presents a substantial -1.48 run edge compared to the market's implied F5 total of 4.42 runs. The Braves' offense has also been unlucky with a 0.279 BABIP, leading to a small upward regression of +0.05 runs, while the Mets' offense has been similarly unlucky with a 0.267 BABIP, resulting in a +0.21 run regression. However, the strength of both starters across the initial innings, supported by a 0.930 park multiplier, strongly suppresses early-game scoring, leading to the substantial UNDER edge. Lean: F5 UNDER 4.0 total

How the model decided

Today's divergences from market consensus were primarily driven by a combination of starter quality differentials, offensive BABIP regression, and bullpen implications. The significant pitching gap in the New York Yankees vs. Chicago White Sox game, particularly Max Fried's elite peripherals against Noah Schultz's struggles, was a key factor pushing the Yankees' run-line. In the Baltimore Orioles vs. Detroit Tigers preview, the Tigers' unlucky BABIP and Baltimore's taxed bullpen shifted the total upward. Similarly, both Merrill Kelly's high xwOBA-against for Arizona, Mitch Keller's short workload for Pittsburgh, and the Diamondbacks' own unlucky BABIP propelled the OVER in the Diamondbacks-Pirates game. The model's "Favorite coming off a blowout win (margin ≥ 5)" system (historically hitting at 71.4% vs 58.3% baseline) also fired on an unlisted game today, reinforcing conviction. The model also considered advanced Sabermetric data, systems trends, and other analytics.

How to read this

This analysis presents the SharpSide model’s view of today's MLB slate, highlighting where our projections significantly diverge from market consensus. Users should interpret these insights as data-driven leans and not as financial advice.