Prediction Details

MLB Prediction: New York Mets vs Detroit Tigers (Wednesday, September 3 at 01:10 PM ET)

Introduction

Updated

NYM @ DETNYM -115DET -105O/U 8.5
Market / Trend NYM DET
Moneyline -115 -105
Total (O/U) 8.5
Run Line -1.5 (148) +1.5 (-175)
Last 5 RPG 10.0 4.8
Record 74–64 80–59
Lines: BetMGM, BetOnline.ag, BetUS, Bovada +6 more

More MLB picks: New York Mets · Detroit Tigers

The Mets enter this interleague matchup analysis against the Tigers riding a 3-2 stretch in their last five with 10.0 runs per game, signaling a high-output offense that has been punishing opponents. Detroit, meanwhile, has dropped seven of its last ten while averaging just 4.5 runs per game, leaving them vulnerable to a lineup that has been consistently outscoring expectations. For an MLB prediction, the contrast in recent scoring efficiency and overall rhythm points squarely toward New York controlling this contest and driving the total beyond today’s posted number.

Game Time

Starts in 14h 25m

Game time: Wednesday, September 3 at 01:10 PM ET inside Comerica Park, pitchers get support from the park size.

Odds & Spread Line

  • New York Mets: -115
  • Detroit Tigers: -105

Total: 8.5

  • Run Line — New York Mets: -1.5 (+148)
  • Run Line — Detroit Tigers: +1.5 (-175)

Latest Team Records

New York Mets: 74-64 (Win %: 0.536)
Detroit Tigers: 80-59 (Win %: 0.576)

Injury Report

Both teams are currently healthy with no major injury concerns.

Key Player Stats

New York Mets

  • Pete Alonso: 0.267 AVG, 31 HR, 110 RBI
  • Juan Soto: 0.257 AVG, 36 HR, 90 RBI
  • Francisco Lindor: 0.267 AVG, 26 HR, 76 RBI

Detroit Tigers

  • Riley Greene: 0.27 AVG, 32 HR, 101 RBI
  • Spencer Torkelson: 0.235 AVG, 28 HR, 70 RBI
  • Kerry Carpenter: 0.257 AVG, 22 HR, 52 RBI

Team Analysis

New York Mets

The Mets’ 3-2 mark across their last five games shows a team producing at an elite 10.0 runs per game pace, significantly above league average and a clear driver of confidence heading into Detroit. Their road record sits below .500, yet the offensive surge neutralizes that weakness, especially with Pete Alonso and Juan Soto capable of anchoring run production in any environment. This blend of power and consistency has created a betting edge that aligns with their recent dominance in interleague play.

Over their last 10 contests, New York has gone 6-4 while averaging 8.2 runs per game, further proof of sustained offensive rhythm. Francisco Lindor adds balance to the lineup, ensuring pressure is applied throughout the order rather than being top-heavy. With this level of scoring reliability, the Mets bring both form and confidence into a matchup where Detroit Tigers’ recent inconsistency is unlikely to keep pace.

  • Batting Average: 0.25
  • Total Runs Scored: 660
  • Home Runs: 189
  • OBP: 0.329
  • SLG: 0.43
  • OPS: 0.759
  • ERA: 3.89
  • WHIP: 1.32

Away Record: 30-37 • Home Record: 45-27
Last 5 Games: 3-2 (10.0 RPG)
Last 10 Games: 6-4 (8.2 RPG)


Detroit Tigers

Detroit has stumbled with a 2-3 record in its last five games, producing just 4.8 runs per game and struggling to capitalize on home-field advantage. Riley Greene remains a consistent source of production, but the lack of collective support has left too many missed opportunities. Against an offense clicking as consistently as New York Mets’, this output profile signals vulnerability.

Looking deeper at their last 10 games, the Tigers are just 3-7 while averaging 4.5 runs per game, a stretch that reflects both offensive inconsistency and diminished confidence. Spencer Torkelson and Kerry Carpenter contribute power, yet the overall rhythm has not been enough to stabilize results at Comerica Park. With the Mets’ bats in rhythm, Detroit Tigers’ recent home form does not provide enough resistance to swing betting value in their favor.

  • Batting Average: 0.25
  • Total Runs Scored: 669
  • Home Runs: 176
  • OBP: 0.319
  • SLG: 0.423
  • OPS: 0.742
  • ERA: 3.84
  • WHIP: 1.23

Away Record: 36-33 • Home Record: 44-27
Last 5 Games: 2-3 (4.8 RPG)
Last 10 Games: 3-7 (4.5 RPG)


Head-to-Head History

New York Mets lead 2–0 (Last 2 games)

  • September 02, 2025: NYM 12 @ DET 5
  • September 01, 2025: NYM 10 @ DET 8

Over/Under Trends

New York Mets’ last 10 games have averaged 13.9 total runs, with 7 games that would have cleared today’s total of 8.5.

Detroit Tigers’ last 10 games have averaged 10.7 combined runs, with 5 games clearing the same number of 8.5.

Moneyline Betting Prediction

The Mets’ 2-0 head-to-head edge this series, combined with double-digit scoring in both contests, highlights the gap between these lineups. With Alonso, Soto, and Lindor anchoring an offense that has averaged nearly nine runs across the last ten games, New York Mets’ momentum and scoring profile make them the clear moneyline side.

Confidence sits with the New York Mets based on recent profiles.

Over/Under Prediction

In their last five, the Detroit Tigers have produced 4.8 RPG and the New York Mets 10.0. That output frames how this total sets up.

These teams are combining for 14.8 runs per game recently — above the posted total of 8.5. That points toward the Over 8.5.

Bookmakers

Odds courtesy of: FanDuel, Fanatics, LowVig.ag, BetOnline.ag, Caesars, DraftKings, MyBookie.ag, BetMGM, BetUS, Bovada.

Parlamaz may earn affiliate commissions from links in this article.

MLB Predictions FAQ

How should I size my bets?

Use a consistent unit (about 1–2% of bankroll). Singles should be most of your volume. We like parlays—smart ones. Keep legs tight (2–3), cap risk to 0.25–0.5u, and pass when the price isn’t there.

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.