New York Mets vs Boston Red Sox

Kickoff (UTC+8)：2026-07-12 04:10

Final Score：New York Mets 0 - 4 Boston Red Sox

Latest Odds

Line Movement (open → latest)

TimeHomeDrawAwayOver/Under
07-11 11:301.6900.0002.3308.50
07-15 00:301.7000.0002.3107.50

AI Deep Analysis

Red Sox’s hot bats meet Freddy Peralta’s shaky form—value lies with the road underdog and the under

This matchup’s angle

Freddy Peralta’s 2026 numbers scream regression: a 4.68 ERA, 4.29 FIP, 1.42 WHIP, and 14 homers allowed in just 100 innings. His last five starts include two outings where he allowed 5+ runs, and his hard-hit rate (39.3%) and barrel rate (5%) are both red flags. The Red Sox, while only league-average against righties (wRC+ 85 vs RHP), have scored 4.8 runs per game over their last eight and just hung 6 runs on the Mets in this series. This is a classic spot where a struggling starter meets a lineup that’s heating up.

The scale right now

Starting pitcher bottom-line: Peralta’s FIP (4.29) and HR/9 (1.3) are both worse than league average → away offense holds the edge

Lineup vs. handedness: Boston’s wRC+ vs RHP (85) is below average, but their recent production (4.8 runs/game) and Peralta’s leaky stats → away offense holds the edge

Bullpen: Mets’ relief ERA (4.32) is shaky, but Red Sox’s bullpen isn’t elite either → even

Freddy Peralta’s recent form and weakness

Peralta’s 2026: 5-7, 4.68 ERA, 4.29 FIP, 1.42 WHIP, 8.8 K/9, 3.5 BB/9, 1.3 HR/9. His last five starts: 2.2 IP, 10 H, 10 ER (vs PHI); 5.0 IP, 4 H, 1 ER (vs ATL); 4.0 IP, 7 H, 5 ER (vs TOR); 5.2 IP, 5 H, 0 ER (vs CHC); 4.2 IP, 6 H, 1 ER (vs ATL). The pattern is clear—he’s allowing hard contact (87.8 mph avg exit velocity, 39.3% hard-hit rate) and the long ball (5% barrel rate). His slider and fastball are getting hit, and his command within the zone is inconsistent. Today, he’s a high-risk starter who could get chased early.

Boston’s bats vs. a righty

Boston’s team wRC+ vs RHP is 85 (below league average), but their recent surge (4.8 runs/game over last 8) and Peralta’s struggles make this a mismatch. Key bats like Willson Contreras (team leader in HR, AVG, RBI) and Rafael Devers have been driving the offense. While their split vs RHP isn’t elite, Peralta’s tendency to groove fastballs and hang sliders plays right into their power alleys. The Red Sox have the pieces to exploit his mistakes, especially if he leaves pitches over the plate.

What the market is pricing in

The market has the Mets at 1.70 (58.8% implied) and the Red Sox at 2.31 (43.3%). The total is 8.5, with the under juiced at 1.95. The market is giving the home side the benefit of the doubt, likely due to Peralta’s name value and the Mets being at home. But the data says otherwise: Peralta’s xFIP and recent form suggest he’s due for another rough outing, and Boston’s offense is trending up. The under is also in play—Peralta’s high WHIP and HR/9 could lead to early runs, but both bullpens are middle-of-the-pack, and Citi Field’s park factor slightly suppresses offense.

Park and injury notes

No major injuries reported for either side. Citi Field’s park factor is neutral to slightly pitcher-friendly, and the forecast for July 12 is clear with mild wind—no major weather impact expected.

Total lean

Peralta’s high HR/9 and WHIP, combined with Boston’s recent offensive surge, suggest runs could come in bunches—but both bullpens are average, and the park slightly favors the under. The simulated total lean is under 8.5, with the most likely scores being 4-3, 5-2, or 3-2. The under 8.5 at 1.95 offers value.

Conclusion: where I’m standing

Push—away_ml

Reason—Peralta’s 4.68 ERA/4.29 FIP and Boston’s 4.8 runs/game over their last 8 make the away underdog the sharper side

Confidence—65% (Peralta’s red flags and Boston’s recent form align, but the market’s home bias keeps this from being a slam dunk)

Biggest risk—Peralta strings together a clean 6 innings and the Mets’ bullpen shuts the door, flipping the script on the underdog narrative

Model Pick：away_ml（Confidence 65%）

Analysis text is generated by an AI research engine from our in-house data pipeline (odds, results, score simulation); model picks are settled and published daily.

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