MLB Picks Today: Predictions & Best Bets for August 8, 2026 | SharpSide

Today's 15-game MLB slate provides ample opportunity for discerning action, and the SharpSide model has identified several matchups with notable divergence from market consensus. Our largest model-implied run-edge today stands at 1.5 runs in the New York Mets at Pittsburgh Pirates game. Other key matchups include the Houston Astros at San Diego Padres and the Tampa Bay Rays at Seattle Mariners. 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: Boston Red Sox ML

SharpSide's highest-confidence play on Saturday's slate is the Boston Red Sox moneyline. Our model projects the Boston Red Sox to win outright against the Athletics with a predicted margin of 2.0 runs (3.3–5.3), which is 0.4 runs stronger than the market's implied margin. This makes the Red Sox our most decisive projection of the day. While not necessarily the biggest edge against the current market price, this pick reflects where our model's outcome is most assured. Best Bet: Boston Red Sox ML (-250)

New York Mets @ Pittsburgh Pirates

The SharpSide model identifies a significant divergence in this matchup, projecting 0.3 fewer total runs than the market and a margin that is 1.5 runs stronger toward the Mets. New York sends Robert Stock to the mound, whose 0.349 xwOBA-against suggests hitters have made hard contact against him in his tiny 5.0 IP sample, and his 1.80 HR/9 indicates poor home run suppression. Pittsburgh counters with Bubba Chandler, who boasts a solid 0.82 HR/9, limiting long balls, and a 0.313 xwOBA-against, indicating average contact quality allowed. Stock's short average outing of 5.0 innings per start means the Mets' bullpen, which is taxed (fatigue index 0.23) despite a respectable 3.78 relief ERA, will be heavily exposed and is nudged up by 0.31 runs by the model. The Mets' offense has been unlucky on balls in play, with a 0.277 BABIP, leading the model to regress their scoring up by 0.18 runs. Conversely, the Pirates' 0.317 BABIP indicates they have been lucky, prompting a downward regression of 0.44 runs for their offense. In Game 2 of 3, the Mets claimed the opener with a 6-4 victory, and they enter this contest with a 6-4 record in their last 10 games, while the Pirates are struggling at 2-8 over the same span. There are no notable park or weather conditions expected. How the model decided: The model’s lean toward the Mets is primarily driven by a significant negative regression on the Pirates' lucky 0.317 BABIP, which subtracts 0.44 runs from their projected offense. This is compounded by the Mets' unlucky 0.277 BABIP, which adds 0.18 runs to their side, pushing the side lean toward New York and the total up. The Pirates' struggling recent form (2-8 in their last 10) further pushes the side lean away from Pittsburgh. The largest mover in this projection was the Pirates' BABIP regression. Lean: New York Mets ML (+121)

Houston Astros @ San Diego Padres

This contest sees the SharpSide model project a tighter game than the consensus, with 0.3 fewer total runs and a margin 1.3 runs stronger toward the Astros. Houston starts Peter Lambert, who has a strong 0.91 HR/9 and a favorable 0.285 xwOBA-against, indicating he limits hard contact. San Diego sends Michael King to the mound, whose 0.327 xwOBA-against suggests he has allowed slightly above-average contact quality, though his 0.97 HR/9 is also solid. Both offenses have experienced some bad luck on balls in play this season, with the Astros' 0.285 BABIP leading to a +0.08 run regression upward for their offense, and the Padres' 0.281 BABIP resulting in a +0.12 run regression for their scoring. The Padres' bullpen, with a 3.68 ERA, is taxed (fatigue index 0.26), potentially creating late-inning opportunities. This is Game 2 of 3, after the Astros took the first game 6-3. The Astros enter this matchup in strong form, with an 8-2 record in their last 10 games, while the Padres are 6-4 over the same period. No significant park or weather factors are noted. How the model decided: The model's projection toward the Astros is influenced by the Padres' taxed bullpen, which may allow more runs in later innings. The Astros' strong recent form (8-2 in their last 10) also contributes to their favorable projection. Peter Lambert's strong 0.285 xwOBA-against, which suppresses the Padres' projected runs, was the largest factor driving this lean. Lean: Houston Astros ML (+105)

Tampa Bay Rays @ Seattle Mariners

The SharpSide model indicates a slight difference from market consensus in this game, projecting 0.1 more total runs and a margin 1.1 runs stronger toward the Rays. Tampa Bay features Griffin Jax, who has a 1.37 HR/9, which is slightly higher than league average, and a 0.321 xwOBA-against, suggesting he allows harder contact. Seattle counters with George Kirby, whose 3.58 FIP is excellent and his 0.303 xwOBA-against indicates he effectively limits quality contact. The Rays' offense has been somewhat lucky this season, with a 0.298 BABIP, causing the model to regress their scoring downward by 0.12 runs. Conversely, the Mariners' offense has been unlucky, with a 0.273 BABIP, leading to a +0.22 run regression upward for their projected runs. The Rays' bullpen has a 4.02 ERA and is well-rested (fatigue index -0.16), leading to a -0.23 run nudge for their opponents. This is Game 2 of 3, with the Rays having won Game 1 by a score of 2-1. Tampa Bay is in strong form, with a 7-3 record in their last 10 games, while Seattle is 4-6. Park and weather conditions are neutral. How the model decided: The model's lean toward the Rays is influenced by Griffin Jax's FIP, which pushes the Mariners' projected runs down. The Mariners' unlucky 0.273 BABIP, which adds 0.22 runs to their offense, pushed the total up. The largest mover in this projection is the Rays' strong recent form, with a 7-3 record in their last 10 games. Lean: Tampa Bay Rays ML (+100)

First Five Innings: Chicago Cubs @ Kansas City Royals (F5 UNDER)

In the Chicago Cubs at Kansas City Royals matchup, our Bayesian starter model projects a First Five Innings total of 3.32 runs, significantly lower than the market-implied 4.94 runs. Chicago’s starter Clay Holmes blends to a 2.75 F5-only ERA, reflecting solid early-game performance. Kansas City’s Seth Lugo, with a blended 4.24 F5-only ERA, is projected to allow more offense. The Cubs' offense has been lucky on balls in play, with the model regressing their runs downward by 0.07. No significant park adjustments are in play. Lean: F5 UNDER 4.5 total

Batter Prop: Caleb Durbin Over 1.5 Total Bases

Sharp line movement on the Total Bases market for Caleb Durbin against the Boston Red Sox points to a lean on the over. The consensus price on Durbin's Total Bases Over 1.5 has moved from +125 to +111, a shift of 2.9 probability-points toward the Over from opening. This aggressive move, historically, flags sharp action and indicates confidence in Durbin's offensive performance in this matchup. Lean: Caleb Durbin Over 1.5 Total Bases (+111)

How the model decided

Today's most significant divergences from market consensus are primarily driven by sabermetric adjustments and pitching peripheral data. In the Mets-Pirates game, the model's regression on the Pirates' lucky BABIP, subtracting 0.44 runs, and the Mets' unlucky BABIP, adding 0.18 runs, were key. For the Astros-Padres game, Peter Lambert's strong 0.285 xwOBA-against was a major factor in suppressing the Padres' projected scoring. The Rays-Mariners projection was heavily influenced by the Rays' strong recent form and the Mariners' unlucky BABIP. The model also considered advanced Sabermetric data, systems trends, and other analytics.

How to read this

This analysis represents the SharpSide model's statistical view against the current market, identifying potential value based on our proprietary algorithms. It is not 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.