MLB Picks Today: Predictions & Best Bets for September 13, 2026 | SharpSide

Today's 15-game slate presents several divergences between the SharpSide model and market consensus, with significant run-gaps that highlight potential value. Our model identifies a 1.6-run margin advantage for the St. Louis Cardinals in their matchup against the Chicago White Sox, representing the largest single side edge of the day. Other key games where our projections depart from the consensus include the Houston Astros versus the Tampa Bay Rays, and the Los Angeles Dodgers against the Miami Marlins. This brief reflects our morning analysis and will refresh at 11:30 am Eastern based on new analytics, weather factors, pitching changes, and line movement, meaning featured matchups may update. Today's Best Bet is highlighted immediately below.

Today's Best Bet: Boston Red Sox ML

Today's Best Bet is the single game and line SharpSide has the highest confidence in: the Boston Red Sox ML (-185) against the Kansas City Royals. Our model projects the Boston Red Sox to win by a moderate 1.2 runs, with a final score of 3.2–4.4. This projected margin is largely in line with what the market already implies, meaning this is a conviction play for us, not necessarily one driven by a significant divergence from market consensus. We see a clear, if not overwhelming, advantage for the Red Sox at home, making it our most assured play of the day. Best Bet: Boston Red Sox ML (-185)

Chicago White Sox @ St. Louis Cardinals

The SharpSide model projects a 4.0–4.7 score in favor of the St. Louis Cardinals, a notable 1.6 runs more favorable to St. Louis than the market consensus, which favors the White Sox. On the mound, Chicago sends David Sandlin, whose small season sample (24.7 IP) shows an elevated 5.90 FIP and a high 2.19 HR/9, indicating he has struggled to limit home runs. For St. Louis, Michael McGreevy brings a 4.25 FIP and a lower 1.17 HR/9 over a much larger 154.0 IP this season, suggesting better control of contact. Sandlin’s average of 4.93 IP per start also flags a short outing, heavily exposing the White Sox bullpen. Chicago's bullpen, despite a respectable 3.70 season relief ERA, is taxed with a fatigue index of 0.55, adding roughly 0.49 runs to St. Louis's projection. The Cardinals' bullpen, with a 4.61 ERA, is worse than average but less taxed (0.16 fatigue). In this rubber match, the Cardinals took game one 7-3, with the White Sox evening the series with a 6-5 win in game two. The White Sox offense has been unlucky on balls in play (.283 BABIP), causing the model to regress their offense up by 0.11 runs. The Cardinals have also been unlucky (.285 BABIP), so their offense is regressed up by 0.07 runs. No notable park or weather conditions are expected. How the model decided: The biggest factor favoring St. Louis Cardinals is the opposing starter's 5.90 FIP, a worse-than-average mark that raises St. Louis Cardinals's scoring outlook. Lean: St. Louis Cardinals ML (-101)

Houston Astros @ Tampa Bay Rays

Our model projects the Houston Astros to win this matchup 4.1–3.8, while the market consensus favors the Tampa Bay Rays at 3.3–4.2. This represents a 1.2-run shift more favorable to the Houston Astros than the market. Hayden Wesneski starts for Houston, showcasing a strong 3.43 FIP and an excellent 0.59 HR/9 over 45.7 innings this season, indicating a high quality of contact management. Tampa Bay's Freddy Peralta carries a higher 4.44 FIP and 1.35 HR/9 over 153.0 innings, suggesting more susceptibility to hard contact. Houston's bullpen has a 4.05 season relief ERA, slightly better than league average, but shows some fatigue (0.29 index), nudging the Rays' projected runs up by 0.36. Tampa Bay's bullpen is average (4.08 ERA) and well-rested (0.07 fatigue index). The Astros are currently 5-5 in their last 10 games, while the Rays are 6-4. In the series, the Rays have taken both games so far, winning game one 3-1 and game two 3-2. No notable park or weather conditions are present. Houston's offense has been unlucky on balls in play (.279 BABIP), leading the model to regress their runs up by 0.16. Conversely, the Rays have been lucky (.296 BABIP), resulting in a 0.09-run regression downward for their offense. How the model decided: The biggest factor favoring Houston Astros is its 4.05 bullpen ERA, a better-than-average run-prevention mark that also tops Tampa Bay Rays's 4.08 mark. Lean: Houston Astros ML (+114)

Los Angeles Dodgers @ Miami Marlins

The SharpSide model projects a tight 4.2–4.3 game with the Miami Marlins as the slight winner, diverging from a market consensus that favors the Los Angeles Dodgers 4.7–3.8. This represents a 1.0-run shift in favor of the Miami Marlins. Emmet Sheehan starts for the Dodgers, with a 4.63 FIP and an elevated 1.87 HR/9 over 101.0 innings this season, indicating a tendency to give up power. For the Marlins, Eury Pérez has a more stable 4.04 FIP and 1.10 HR/9 over 139.3 innings. Sheehan's average of 4.48 IP per start means the Dodgers' bullpen will be exposed early. The Dodgers' bullpen has a strong 3.87 season relief ERA and is well-rested (0.00 fatigue index). The Marlins' bullpen is average (4.09 ERA) and also rested (0.10 fatigue index). The Dodgers enter this game having won 8 of their last 10, while the Marlins are struggling at 3-7. The Dodgers are missing core hitter Shohei Ohtani tonight, which subtracts approximately 0.30 runs from their projected offense. In the series, the Dodgers took game one 6-2, but the Marlins responded with a 4-3 victory in game two. The park offers no notable conditions. Both offenses have been lucky on balls in play, with the Dodgers (.297 BABIP) regressed down by 0.11 runs and the Marlins (.299 BABIP) regressed down by 0.13 runs. How the model decided: The biggest factor favoring Miami Marlins is its starter's 4.04 FIP, a better-than-average indicator of run prevention and stronger than the opposing starter's 4.63 FIP. Lean: Miami Marlins ML (+118)

First Five Innings: Texas Rangers @ Arizona Diamondbacks (F5 UNDER)

The model projects a low-scoring first five innings in the Texas Rangers @ Arizona Diamondbacks matchup, with an F5 total of 2.77 runs compared to the market's implied 4.21. Cal Quantrill starts for the Rangers, with a blended F5-only ERA of 3.01. Eduardo Rodriguez for the Diamondbacks projects even better, with a blended F5-only ERA of 2.77. The park factor (0.937) also dampens run scoring. The Rangers' offense exhibits neutral BABIP luck, while the Diamondbacks' offense has been unlucky on balls in play (.285 BABIP), leading to a +0.14 run regression upwards for them. Even with some offensive regression for Arizona, the strong F5 pitching projections from both Quantrill and Rodriguez create significant value on the under. Lean: F5 UNDER 4.0 total

Batter Prop: Anthony Volpe Over 0.5 Hits

The market for Anthony Volpe's Hits Over 0.5 against the New York Mets has seen sharp line movement, shifting from -108 to -135, a 5.5 probability-point move toward the Over. This aggressive adjustment in consensus pricing often indicates smart money coming in on the Over. While we do not generate specific prop projections, historical data shows that such significant cross-book shifts in probability points are strong signals of informed action. Given the market's conviction, there is an implied edge on Volpe to record at least one hit tonight. Lean: Anthony Volpe Over 0.5 Hits (-135)

How the model decided

Today's significant divergences from the market are primarily driven by advanced pitcher peripherals, BABIP luck regression, and key injury impacts. In the White Sox @ Cardinals game, the model's lean toward St. Louis was largely influenced by the clear gap in starter quality favoring McGreevy, compounded by the White Sox's taxed bullpen. For the Astros @ Rays, Hayden Wesneski's strong FIP and HR/9, combined with the model's regression on the Astros' unlucky BABIP, were major factors in projecting an Astros win. The Dodgers @ Marlins lean towards Miami was crucially shaped by the Dodgers missing Shohei Ohtani, significantly impacting their offensive projection, alongside the pitching matchup. The model also considered advanced Sabermetric data, systems trends, and other analytics.

How to read this

This analysis presents the SharpSide model's projected outcomes and identifies areas where our data-driven view diverges from market consensus, highlighting potential betting value. This information is for analytical purposes only and should not be construed as financial advice.

Projections update after publish. This brief is locked in at the 11:30 am ET refresh, but the model keeps recalculating all day as lineups are posted, weather shifts, pitching changes are announced, and lines move — a side or total highlighted here can flip before first pitch. Always confirm the current number on the live projections page (which locks 30 minutes before each game's first pitch) before placing a bet.