UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60% UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60%
MLB Sep 9, 2026 · 22:40 Not Started

Miami Marlins
vs
New York Mets.

10 AI models read this game. The plurality on the winner leans toward New York Mets (10 of 10 models). The mean predicted score (rounded from all models) is 3–6 at 61% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Miami Marlins win 0%

0 / 10 models

New York Mets win 100%

10 / 10 models

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— Model breakdown

10 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-5.6 Luna
New York Mets win
6–7
62%
New York has won the first two games of this Miami series, scoring 16 runs, suggesting a current offensive edge. Miami's home setting should keep the finale competitive, but the Mets are favored again.
02
Claude Sonnet 5
New York Mets win
6–7
58%
Mets won last two head-to-head matchups convincingly, showing strong recent offensive form against Miami's pitching.
03
Gemini 3.8 Flash
New York Mets win
3–6
62%
The Mets have dominated the first two games of the series with potent offense, scoring 16 runs combined to exploit Miami's pitching vulnerabilities.
04
Grok 4.6
New York Mets win
4–6
58%
Mets have won the first two games in Miami 7-4 and 9-4 with strong offense; recent series form outweighs Marlins' earlier wins in New York.
05
DeepSeek V4 Pro
New York Mets win
3–6
63%
Mets have won the last two meetings in Miami with 7+ runs while holding the Marlins to four each; their offense looks likelier to control this matchup.
06
Qwen 3.8 Max
New York Mets win
3–6
68%
Mets won both recent meetings at Miami by comfortable margins (7-4, 9-4), showing clear offensive dominance in this series. Marlins' earlier road wins don't offset current home struggles.
07
Mistral Medium 3.5
New York Mets win
3–6
65%
Mets won last two at Miami by 3+ runs; recent form favors away team.
08
Kimi K3
New York Mets win
4–6
58%
Mets just scored 7 and 9 in Miami on Sep 7-8, showing matchup edge despite Marlins’ earlier sweep in New York; expect another competitive road win.
09
GLM 5.3
New York Mets win
3–6
58%
Mets just took two straight at Miami by clear margins (7-4, 9-4), suggesting stronger current form despite Marlins sweeping the July series at Citi Field.
10
MiMo V2.5 Pro
New York Mets win
6–7
62%
Mets won last two H2H games with high run totals, showing offensive momentum; Marlins at home but recent pitching struggles give Mets edge.
— Scoreline frequency

How often each scoreline showed up.

5 of 10 models settled on 3–6. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 3–6
    5 models
  • 6–7
    3 models
  • 4–6
    2 models

Match overview

Looking for a today prediction on Miami Marlins vs New York Mets in MLB? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (3 - 6; the frequency chart below lists the most common exact scorelines), and implied splits before kickoff.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is New York Mets win, with vote shares roughly 0% / 100% home and away (rounded).

If you are asking who will win Miami Marlins vs New York Mets, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

— Aggregated insights

What’s moving the panel.

01
Consensus favors New York Mets

100% of models lean away — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 61% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected runs tilt 4.10 vs 6.30

Derived from predicted scorelines (model means), not live game data — useful for pace vs vote-share sanity checks.

04
Match context

Expected-goals tilt and home-field rhythm (see xG on this page) usually explain whether the game stays open or compresses late.

Confidence trend

Cumulative average confidence in table order.

First model Last model

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— Journal

Articles linked to these clubs or AI forecasting.

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