JUV 1-1 ATA · 58% OFI 1-0 AST · 53% VIB 1-2 FCN · 52% SLA 2-1 PLZ · 59% DEP 1-1 REA · 58% VIL 2-1 LEV · 62% ALM 2-0 CEL · 59% LAS 1-0 BUR · 54% CLU 2-1 GEN · 57% KAL 0-2 PAN · 63% EST 1-1 CAS · 51% SAN 0-1 SCB · 57% AME 0-2 BEş · 61% GöZ 1-0 RIZ · 53% JUV 1-1 ATA · 58% OFI 1-0 AST · 53% VIB 1-2 FCN · 52% SLA 2-1 PLZ · 59% DEP 1-1 REA · 58% VIL 2-1 LEV · 62% ALM 2-0 CEL · 59% LAS 1-0 BUR · 54% CLU 2-1 GEN · 57% KAL 0-2 PAN · 63% EST 1-1 CAS · 51% SAN 0-1 SCB · 57% AME 0-2 BEş · 61% GöZ 1-0 RIZ · 53%
MLB Sep 18, 2026 · 23:15 Finished

New York Mets
vs
Philadelphia Phillies.

Quick answer

Who will win New York Mets vs Philadelphia Phillies?

Final score: New York Mets 6–3 Philadelphia Phillies. Before kickoff, 9 of 10 AI models pick New York Mets to win (90%); the consensus was right.

Consensus of independent AI models on TuringStats, updated before kickoff. Not betting advice.

10 AI models read this game. The plurality on the winner leans toward New York Mets (9 of 10 models). The mean predicted score (rounded from all models) is 4–3 at 57% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

10 AI models · council in session Live match data · Pro

Still not sure? Ask 10 AIs at once:
“Will New York Mets beat Philadelphia Phillies in their upcoming match?”

Every model votes yes or no and defends it in a sentence or two. Attach this match's last-5 form, head-to-head and the picks above so they argue from real data — then keep asking the same council follow-ups.

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— Consensus

Where the panel lands.

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

New York Mets win 90%

9 / 10 models

Philadelphia Phillies win 10%

1 / 10 models

— 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
5–4
54%
Recent meetings slightly favor New York, including two Mets wins in the latest three. With the Mets at home and the matchup appearing close, a narrow, moderately high-scoring Mets win is the best estimate.
02
Claude Sonnet 5
New York Mets win
5–4
55%
Mets won 4 of last 5 head-to-head meetings including home venue; close divisional rivalry favors a tight, competitive finish at Citi Field.
03
Gemini 3.8 Flash
New York Mets win
4–3
56%
The Mets hold home field at Citi Field in a tight divisional rivalry where recent matchups show pitching-oriented, close finishes.
04
Grok 4.6
New York Mets win
5–3
58%
Mets took three of the last five H2H meetings and host at Citi Field; recent scores were mostly moderate, so a one-to-two-run home win fits better than a blowout.
05
DeepSeek V4 Pro
New York Mets win
4–2
61%
Mets have won three of the last five meetings, including two decisive home wins; Philadelphia's recent scoring in this matchup has been inconsistent. Home venue gives New York a slight edge.
06
Qwen 3.8 Max
New York Mets win
4–3
55%
Mets won 3 of last 5 H2H meetings including two at Philadelphia; home venue and recent head-to-head edge give slight advantage in a close divisional matchup.
07
Mistral Medium 3.5
Philadelphia Phillies win
4–5
62%
Phillies have split recent H2H; road form and bullpen edge tip it their way in a tight contest.
08
Kimi K3
New York Mets win
5–3
58%
Mets took two of three in Philadelphia in July and hold home-field edge; divisional familiarity suggests a competitive but moderate-scoring game favoring New York's lineup.
09
GLM 5.3
New York Mets win
5–3
56%
Mets won three of the last five meetings, including two July wins in Philadelphia, and home edge at Citi Field supports a modest margin.
10
MiMo V2.5 Pro
New York Mets win
4–3
58%
Mets have won three of the last five H2H, including a recent 6-1 home victory; home-field advantage and close recent matchups suggest a tight, low-scoring game.
— Scoreline frequency

How often each scoreline showed up.

3 of 10 models settled on 4–3. The rest of the list shows where dissent still lives before kickoff.

  • 4–3
    3 models
  • 5–3
    3 models
  • 5–4
    2 models
  • 4–5
    1 model
  • 4–2
    1 model

Match overview

Looking for a today prediction on New York Mets vs Philadelphia Phillies 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 (4 - 3; 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 90% / 10% home and away (rounded).

If you are asking who will win New York Mets vs Philadelphia Phillies, 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

90% of models lean home — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 57% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected runs tilt 4.50 vs 3.30

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.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

Confidence trend

Cumulative average confidence in table order.

First model Last model

Explore more

Keep browsing today prediction coverage and league hubs.

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— Journal

Articles linked to these clubs or AI forecasting.

Ask multiple AIs about this match.

10 models vote yes or no with this match's last-5 form, head-to-head, live status and our model picks attached — not from memory. Then ask follow-ups to the same council.