Prediction Details

MLB Prediction: New York Mets vs Detroit Tigers (Tuesday, September 2 at 06:40 PM ET)

Introduction

Updated

NYM @ DETNYM -130DET +110O/U 8.5
Market / Trend NYM DET
Moneyline -130 +110
Total (O/U) 8.5
Run Line -1.5 (128) +1.5 (-154)
Last 5 RPG 8.4 3.8
Record 73–64 80–58
Lines: BetRivers, FanDuel, MyBookie.ag

More MLB picks: New York Mets · Detroit Tigers

The Mets enter this interleague matchup analysis with the Tigers after averaging 8.4 runs per game across their last five, a blistering offensive pace that has consistently stretched opposing staffs. Detroit, meanwhile, has struggled to generate rhythm at just 3.8 RPG in that same span, leaving a clear gap in scoring output. With the Mets heating up at the plate while the Tigers stumble, this MLB prediction leans heavily toward the visitors’ offense dictating tempo and pushing the total upward.

Game Time

Starts in 20h 45m

This one goes at Tuesday, September 2 at 06:40 PM ET at spacious Comerica Park, deep alleys suppress the long ball.

Odds & Spread Line

  • New York Mets: -130
  • Detroit Tigers: +110

Total: 8.5

  • Run Line — New York Mets: -1.5 (+128)
  • Run Line — Detroit Tigers: +1.5 (-154)

Latest Team Records

New York Mets: 73-64 (Win %: 0.533)
Detroit Tigers: 80-58 (Win %: 0.58)

Injury Report

Both teams are currently healthy with no major injury concerns.

Key Player Stats

New York Mets

  • Pete Alonso: 0.269 AVG, 31 HR, 110 RBI
  • Juan Soto: 0.254 AVG, 35 HR, 84 RBI
  • Francisco Lindor: 0.268 AVG, 26 HR, 76 RBI

Detroit Tigers

  • Riley Greene: 0.269 AVG, 32 HR, 101 RBI
  • Spencer Torkelson: 0.235 AVG, 28 HR, 70 RBI
  • Kerry Carpenter: 0.258 AVG, 22 HR, 52 RBI

Team Analysis

New York Mets

The Mets’ 2-3 record in their last five games shows inconsistency, but the offense has been explosive at 8.4 RPG, more than enough to mask occasional pitching lapses. Pete Alonso’s run production remains a constant driver, and his ability to deliver in RBI spots keeps the lineup threatening in every inning. Their road mark of 29-37 is underwhelming, yet the current scoring surge gives them the edge against a Tigers lineup struggling for rhythm.

Over the last ten games, the Mets have produced 7.9 RPG while going 6-4, showing that their bats are carrying momentum even when results are split. Juan Soto’s power presence stretches opposing rotations, and Francisco Lindor’s balanced contributions add depth beyond the middle of the order. Given this scoring profile, the Mets’ offense is well-positioned to outpace Detroit in this matchup.

  • Batting Average: 0.25
  • Total Runs Scored: 650
  • Home Runs: 188
  • OBP: 0.328
  • SLG: 0.429
  • OPS: 0.758
  • ERA: 3.86
  • WHIP: 1.32

Away Record: 29-37 • Home Record: 45-27
Last 5 Games: 2-3 (8.4 RPG)
Last 10 Games: 6-4 (7.9 RPG)


Detroit Tigers

The Tigers’ 2-3 mark across their last five with just 3.8 RPG exposes an offense that has been stuck in neutral. Riley Greene has been the most reliable run producer, but the lack of consistent support around him has stalled rallies. Even with a strong 44-26 home record, the current scoring dip makes it difficult for Detroit to match the Mets’ pace.

Over their last ten games, the Tigers are 4-6 while averaging 4.7 RPG, showing a pattern of middling output against both strong and average pitching. Spencer Torkelson has flashed power, but his inconsistency leaves Riley Greene carrying too much of the burden. With Kerry Carpenter contributing in spurts but not consistently lifting run totals, Detroit Tigers’ lineup has less upside compared to New York Mets’ red-hot bats.

  • Batting Average: 0.25
  • Total Runs Scored: 661
  • Home Runs: 174
  • OBP: 0.318
  • SLG: 0.421
  • OPS: 0.74
  • ERA: 3.8
  • WHIP: 1.23

Away Record: 36-33 • Home Record: 44-26
Last 5 Games: 2-3 (3.8 RPG)
Last 10 Games: 4-6 (4.7 RPG)


Head-to-Head History

New York Mets lead 1–0 (Most recent game)

  • September 01, 2025: NYM 10 @ DET 8

Over/Under Trends

New York Mets’ last 10 games have averaged 13.3 total runs, with 7 games that would have cleared today’s total of 8.5.

Detroit Tigers’ last 10 games have averaged 10.2 combined runs, with 5 games clearing the same number of 8.5.

Moneyline Betting Prediction

The Mets’ superior offensive output, highlighted by their 8.4 RPG in the last five, gives them a decisive edge over a Tigers lineup stuck at 3.8 RPG. Coupled with a recent head-to-head victory and consistent production from Alonso, Soto, and Lindor, the Mets have the firepower to control this interleague matchup from start to finish.

We’re backing the New York Mets — the read is consistent across metrics.

Over/Under Prediction

In their last five, the Detroit Tigers have produced 3.8 RPG and the New York Mets 8.4. That output frames how this total sets up.

These teams are combining for 12.2 runs per game recently — above the posted total of 8.5. That points toward the Over 8.5.

Bookmakers

Lines retrieved from: FanDuel, BetRivers, MyBookie.ag.

Parlamaz may earn affiliate commissions from links in this article.

MLB Predictions FAQ

How often are picks updated?

Daily. We update for confirmed lineups, injuries, and market moves. Check back near first pitch for final notes.

What do moneyline, run line, and total mean?

Moneyline is who wins the game. Run line is a spread, usually ±1.5 runs. The total (over/under) is combined runs by both teams.

How does Parlamaz make New York Mets vs Detroit Tigers MLB predictions?

We use trusted data feeds and real-time odds to model each matchup. We weight the numbers that move lines—team form, matchup history, injuries, park factors, totals trends, and betting momentum—then compare our price to the market to find value. All signal, no noise. No paywalls.

John Tamburino

John TamburinoVerified

Lead Analyst — data-first, former college baseball.

John Tamburino grew up on travel baseball and three years of varsity basketball, then played college baseball before shifting to analytics. He still watches everything—from weekday tennis to all major league sports—and will never forget the Diamondbacks’ World Series run. At Parlamaz, John blends trusted data feeds with matchup context to find real value—no fluff, no paywalls.