All briefs
July 28, 2026 · SharpSide Model

MLB Picks Today: Predictions & Best Bets for July 28, 2026 | SharpSide

MLB picks and predictions for today, July 28, 2026. Free best bets and model edges vs Vegas consensus on Arizona Diamondbacks @ Pittsburgh Pirates, Philadelphia Phillies @ Miami Marlins, Chicago Cubs @ St. Louis Cardinals. Plus an F5 UNDER 4.0 total angle on Cleveland Guardians @ Cincinnati Reds.

Share on X
Best Bet of the Day
Atlanta Braves (ML -157)
Atlanta Braves @ New York Mets
Model projects Atlanta Braves to win by 1.3 runs (4.7–3.4); roughly in line with the market's implied margin (no divergence required — this is a conviction play, not an edge play).
Lean OVER 9.5 total (-111)
Arizona Diamondbacks @ Pittsburgh Pirates
Model 4.8–4.9 vs market 3.8–5.3
Edge: 1.4 runs vs market
Lean OVER 8.5 total (-111)
Philadelphia Phillies @ Miami Marlins
Model 4.3–4.9 vs market 3.3–4.7
Edge: 1.2 runs vs market
Lean St. Louis Cardinals ML (-105)
Chicago Cubs @ St. Louis Cardinals
Model 4.8–5.0 vs market 5.0–4.0
Edge: 1.1 runs vs market
F5 UNDER 4.0 total
Cleveland Guardians @ Cincinnati Reds
Model F5 3.20 vs implied 4.42 (Slade Cecconi 4.13 ERA vs Chase Burns 2.37 ERA)
Edge: 1.2 runs vs market

Today's 16-game MLB slate presents a wealth of betting opportunities, with the SharpSide model identifying several significant divergences from market consensus. Our largest total-run edge of the day comes in the Philadelphia Phillies @ Miami Marlins matchup, where the model projects 1.2 runs more than the market. We'll be breaking down that game, alongside the Arizona Diamondbacks @ Pittsburgh Pirates and Chicago Cubs @ St. Louis Cardinals, for potential value. This brief refreshes at 11:30 am Eastern based on new analytics, weather factors, pitching changes, and line movement, so featured matchups may update. Today's Best Bet is highlighted immediately below.

Today's Best Bet: Atlanta Braves ML

This is Today's Best Bet, the single game and line SharpSide has the highest confidence in this Tuesday. We are backing the Atlanta Braves Moneyline at -157 against the New York Mets. The model projects the Braves to win by a comfortable 1.3 runs (4.7–3.4), a margin largely in line with how the market is already pricing this contest. This is a conviction play, not necessarily an edge play; while the market generally agrees with our assessment, the model's projected outcome here is its most decisive of the day.

Best Bet: Atlanta Braves ML (-157)

Arizona Diamondbacks @ Pittsburgh Pirates

The SharpSide model projects 0.7 additional runs compared to the market consensus total in this Arizona Diamondbacks @ Pittsburgh Pirates matchup. The market anticipates a 3.8–5.3 game (9.1 total), while our model forecasts 4.8–4.9 (9.7 total). On the mound, Arizona's Brandon Pfaadt brings a 4.43 FIP, indicating he tends to allow more runs than average, though his 1.11 HR/9 suggests reasonable home run suppression. Pittsburgh counters with Bubba Chandler, whose 0.308 xwOBA-against points to better-than-average contact management, and a low 0.89 HR/9.

This is Game 2 of 3 in the series, with the Pirates taking Game 1 yesterday, 3-2. The Diamondbacks enter with average recent form, going 6-4 in their last 10 games, while the Pirates are also middling at 5-5 over the same span. The model notes that Arizona has been unlucky on balls in play, with a 0.278 BABIP, leading to a regression that adds 0.18 runs to their projected offense. Conversely, Pittsburgh's 0.321 BABIP suggests they have been lucky, resulting in a significant 0.45-run subtraction from their offensive projection. Both starters average just over 5.4 innings per start, exposing the bullpens for significant work. Pittsburgh's bullpen is taxed, with a 4.48 season relief ERA, worse than the league average of 4.10, and their fatigue index of 0.20 suggests they will be leaning on lower-leverage arms. Park and weather conditions are not expected to be a significant factor.

How the model decided: Arizona's projected offensive uptick from BABIP regression and their opponent's taxed bullpen both pushed the total projection upward. The general peripherals of both starters, Pfaadt's 4.43 FIP and Chandler's 4.43 FIP, both above the league average, suggest they should give up more runs than the average starter. This collective assessment of factors, particularly the regression on the Diamondbacks offense, was the largest driver of the lean toward the over.

Lean: OVER 9.5 total (-111)

Philadelphia Phillies @ Miami Marlins

Another substantial total-run edge emerges in the Philadelphia Phillies @ Miami Marlins game, where the SharpSide model sees 1.2 runs more than the market's consensus. The market projects a 3.3–4.7 outcome (8.0 total), while our model anticipates 4.3–4.9 (9.2 total). Philadelphia sends Aaron Nola to the mound, who has struggled this season with a 5.07 FIP and a elevated 2.08 HR/9, indicating he has been prone to hard contact and the long ball. For Miami, Sandy Alcantara features a solid 4.06 FIP and a 0.299 xwOBA-against, suggesting he still limits quality contact more effectively than Nola.

This series saw a high-scoring Game 1, with Miami defeating Philadelphia 8-7. Looking at recent form, the Phillies are struggling at 3-7 in their last 10 games, while the Marlins are even colder with a 1-9 record. The model identifies Philadelphia as slightly unlucky on balls in play, with a 0.282 BABIP, pushing their offensive projection up by 0.11 runs. Miami's 0.301 BABIP indicates some good fortune, resulting in a 0.16-run downward regression for their offense. Nola averages only 5.17 IP/start, exposing a Phillies bullpen with a 4.39 season relief ERA (worse than league average of 4.10) and a taxed fatigue index of 0.33, indicating potential reliance on less effective arms. Miami's bullpen is also taxed with a fatigue index of 0.21, and a model run nudge of +0.53 suggests they are susceptible to allowing runs, despite their 3.98 season relief ERA. There are no notable park or weather conditions expected.

How the model decided: Nola's challenging peripherals, particularly his high HR/9, contribute to an elevated projected run total against him. The combination of both bullpens being taxed, especially the Phillies' higher season ERA and the significant model run nudge for the Marlins' bullpen, indicates potential for late-game scoring. The model's upward regression on the Phillies' offense due to their historically unlucky BABIP also pushed the total higher, constituting the largest driver for the OVER lean.

Lean: OVER 8.5 total (-111)

Chicago Cubs @ St. Louis Cardinals

For the Chicago Cubs @ St. Louis Cardinals matchup, the SharpSide model demonstrates a notable 0.8-run divergence on the total compared to market consensus, and a significant 1.1-run margin edge toward the home team. The market sees a 5.0–4.0 game (9.0 total) while our system projects 4.8–5.0 (9.8 total), favoring the Cardinals. Chicago will start Colin Rea, who carries a 4.95 FIP and a concerning 0.357 xwOBA-against, suggesting he has allowed significant hard contact. St. Louis has yet to name their starter (TBA), but the model anticipates a starter expected to work multiple innings, not a short-sample opener.

This is Game 2 of 4 in the series, with the Cubs securing a decisive 7-3 victory in Game 1. Chicago rides into tonight's game with a solid 6-4 record over their last 10, while the Cardinals are in poor recent form, winning just 2 of their last 10 games. The Cubs' offense has been slightly lucky on balls in play with a 0.293 BABIP, leading to a small 0.05-run downward adjustment in their projection. Conversely, the Cardinals' 0.278 BABIP indicates they have been unlucky, resulting in a 0.17-run increase to their projected offense. Colin Rea averages 5.21 IP/start, which exposes a Cubs bullpen with a 3.98 season relief ERA (below league average of 4.10) but a taxed fatigue index of 0.21. The Cardinals' bullpen, despite a 4.37 season relief ERA (worse than league average), has a lighter fatigue index of 0.15. Park and weather conditions are not expected to be a significant factor.

How the model decided: Colin Rea's poor contact management reflected in his 0.357 xwOBA-against directly increased the projected runs for the Cardinals. The model's upward regression on the Cardinals' offense due to their unlucky BABIP also provided a significant boost to their run projection. This combination, primarily driven by the expected offensive performance against Rea, is the largest factor in the model’s lean toward the St. Louis Moneyline.

Lean: St. Louis Cardinals ML (-105)

First Five Innings: Cleveland Guardians @ Cincinnati Reds (F5 UNDER)

The First Five Innings matchup between the Cleveland Guardians and Cincinnati Reds presents a compelling UNDER lean. Our Bayesian starter model, blending traditional ERA with Statcast xERA, projects a combined F5 total of 3.20 runs, significantly below the market's implied 4.42 runs. Cleveland starter Slade Cecconi showcases a blended F5-only ERA of 4.13, while Cincinnati's Chase Burns boasts a sharper 2.37. Both offenses have been unlucky on balls in play, with the Guardians seeing a 0.17-run offensive regression upward and the Reds with a 0.18-run offensive regression upward from their respective BABIP profiles, but these bumps are absorbed within the strong F5 pitching projections. The park neutralizes any extreme scoring conditions with a 0.962 multiplier.

Lean: F5 UNDER 4.0 total

How the model decided

Today's sharper projections are driven by several key analytical distinctions. We see significant BABIP regressions influencing totals and sides; for instance, the Diamondbacks' unlucky BABIP added 0.18 runs to their offense, pushing their game total up, while the Cardinals' similar misfortune boosted their side. Starter peripherals also played a critical role, such as Aaron Nola's elevated HR/9 increasing the projected runs against the Phillies. Bullpen health and season ERAs, particularly taxed situations for both the Phillies and Pirates, contributed to overall run expectations. The "Favorite coming off a blowout win (margin ≥ 5)" system also fired on the Atlanta Braves Moneyline, a trend with a historical hit rate of 71.4% versus a 58.3% baseline. The model also considered advanced Sabermetric data, systems trends, and other analytics.

How to read this

This analysis reflects the SharpSide model's projected outcomes relative to current market pricing. These are insights derived from our quantitative framework, not financial advice.

For entertainment purposes only. Not betting advice. Markets carry risk — only stake what you can afford to lose.