BOR 2-1 WER · 52% RBL 2-1 EIN · 51% 189 2-1 HAM · 48% SCF 2-0 FCS · 54% FCA 1-3 BAY · 56% FSV 1-2 BAY · 47% UNI 2-0 SVE · 51% 1.F 2-2 BOR · 43% SCP 1-2 VFB · 45% LIV 1-1 MAN · 44% ARS 3-0 LEE · 60% CHE 2-1 BOU · 47% MAN 2-1 TOT · 45% AST 2-1 BRE · 45% BOR 2-1 WER · 52% RBL 2-1 EIN · 51% 189 2-1 HAM · 48% SCF 2-0 FCS · 54% FCA 1-3 BAY · 56% FSV 1-2 BAY · 47% UNI 2-0 SVE · 51% 1.F 2-2 BOR · 43% SCP 1-2 VFB · 45% LIV 1-1 MAN · 44% ARS 3-0 LEE · 60% CHE 2-1 BOU · 47% MAN 2-1 TOT · 45% AST 2-1 BRE · 45%
NFL · Regular Season · Week 4 Oct 4, 2026 · 17:00 MetLife Stadium, East Rutherford Finished

New York Giants
vs
Arizona Cardinals.

Quick answer

Who will win New York Giants vs Arizona Cardinals?

Final score: New York Giants 36–24 Arizona Cardinals. Before kickoff, 6 of 10 AI models pick New York Giants to win (60%); the consensus was right. The AI predicted score was 24–21.

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 Giants (6 of 10 models). The mean predicted score (rounded from all models) is 24–21 at 56% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

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

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“Will New York Giants beat Arizona Cardinals 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 Giants win 60%

6 / 10 models

Arizona Cardinals win 40%

4 / 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 Giants win
24–21
53%
With limited 2026 form information, this projects as a close matchup. The Giants receive a modest MetLife advantage, while the recent 2023 meeting supports a competitive, moderately high-scoring game rather than a clear mismatch.
02
Claude Sonnet 5
Arizona Cardinals win
23–26
52%
Cardinals have led recent head-to-head meetings and Giants' early-season consistency remains uncertain; expect a close, competitive matchup at MetLife.
03
Gemini 3.8 Flash
Arizona Cardinals win
21–24
58%
Arizona's dynamic offense presents schematic mismatches against New York's defense, giving the Cardinals a slight edge in a tightly contested road matchup at MetLife Stadium.
04
Grok 4.6
New York Giants win
24–20
55%
Week 4 at MetLife with thin 2026 form. Giants get a one-possession home edge, echoing the 2023 H2H; Cardinals stay close but the venue favors New York.
05
DeepSeek V4 Pro
Arizona Cardinals win
24–25
58%
Arizona's recent H2H edge and more consistent offense give them a slight road advantage; Giants keep it close at MetLife but fall short late.
06
Qwen 3.8 Max
Arizona Cardinals win
20–24
52%
Limited 2026 context; Cardinals have won 3 of last 5 H2H meetings. Slight edge to Arizona on recent head-to-head dominance despite Giants' home advantage at MetLife.
07
Mistral Medium 3.5
New York Giants win
24–21
60%
Giants at home with slight edge in recent H2H; Cardinals close but Giants' defense holds late.
08
Kimi K3
New York Giants win
24–20
55%
Giants won the most recent meeting 31-28 in Arizona and now get home field at MetLife; expect a competitive, moderate-scoring game with New York's defense making the difference late.
09
GLM 5.3
New York Giants win
24–20
52%
Thin 2026 context; Giants take slight edge from MetLife home venue and their 2023 H2H win, but Arizona's recent H2H dominance keeps this a close one-possession call.
10
MiMo V2.5 Pro
New York Giants win
24–21
58%
Giants hold a recent H2H win and home venue advantage; both teams show offensive potential in 2026 context, suggesting a close, competitive game.
— Scoreline frequency

How often each scoreline showed up.

3 of 10 models settled on 24–21. The rest of the list shows where dissent still lives before kickoff.

  • 24–21
    3 models
  • 24–20
    3 models
  • 23–26
    1 model
  • 24–25
    1 model
  • 20–24
    1 model
  • 21–24
    1 model

Match overview

Looking for a today prediction on New York Giants vs Arizona Cardinals in NFL? 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 (24 - 21; 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 Giants win, with vote shares roughly 60% / 40% home and away (rounded).

If you are asking who will win New York Giants vs Arizona Cardinals, 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 Giants

60% of models lean home — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 56% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 23.20 vs 22.20

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.