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 Sep 27, 2026 · 20:05 Levi's Stadium, Santa Clara Finished

San Francisco 49ers
vs
Arizona Cardinals.

Quick answer

Who will win San Francisco 49ers vs Arizona Cardinals?

Final score: San Francisco 49ers 36–30 Arizona Cardinals. Before kickoff, 10 of 10 AI models pick San Francisco 49ers to win (100%); the consensus was right. The AI predicted score was 27–20.

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

All 10 AIs agree. When the whole council agrees, it has been right 66% of the time (38 games).

10 AI models read this game. The plurality on the winner leans toward San Francisco 49ers (10 of 10 models). The mean predicted score (rounded from all models) is 27–20 at 64% 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

Still not sure? Ask 10 AIs at once:
“Will San Francisco 49ers 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.

San Francisco 49ers win 100%

10 / 10 models

Arizona Cardinals win 0%

0 / 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
San Francisco 49ers win
27–21
64%
San Francisco has won two of the past three meetings and gets the home-field advantage at Levi's Stadium. Arizona has shown upset potential, but the 49ers’ recent head-to-head scoring edge supports a competitive home win.
02
Claude Sonnet 5
San Francisco 49ers win
27–20
61%
49ers have dominated recent meetings and hold home-field edge at Levi's Stadium; Cardinals competitive but historically inconsistent on the road versus SF.
03
Gemini 3.8 Flash
San Francisco 49ers win
27–21
63%
San Francisco holds home advantage at Levi's Stadium, where their balanced offense should edge Arizona in a competitive division matchup.
04
Grok 4.6
San Francisco 49ers win
27–20
61%
Levi's Stadium home edge for San Francisco in Week 3; recent H2H mixed but 49ers often control NFC West at home. Cardinals stay competitive, one-possession gap.
05
DeepSeek V4 Pro
San Francisco 49ers win
27–20
58%
San Francisco has won two of the last three meetings, including 41-22 at Arizona in November, and holds a home-field edge at Levi's Stadium. Arizona's offense can keep it close, but the 49ers' recent scoring pace supports a one-score margin.
06
Qwen 3.8 Max
San Francisco 49ers win
27–17
62%
49ers at Levi's Stadium with home-field edge; H2H shows SF dominating recent matchups despite one upset. Cardinals' defense has been vulnerable to SF's balanced attack.
07
Mistral Medium 3.5
San Francisco 49ers win
28–17
68%
49ers at home with recent H2H dominance and stronger roster depth; Cardinals' offense inconsistent.
08
Kimi K3
San Francisco 49ers win
27–17
62%
49ers have won three of the last five H2H meetings including a 41-22 road win last November; home field at Levi's and Arizona's defensive inconsistency support a moderate home edge.
09
GLM 5.3
San Francisco 49ers win
27–20
58%
49ers won three of the last five H2H including a 41-22 road blowout, and Levi's Stadium home edge helps; Arizona keeps it close, so a moderate one-score margin fits.
10
MiMo V2.5 Pro
San Francisco 49ers win
27–20
60%
49ers home advantage at Levi's Stadium and recent H2H dominance (41-22 win) suggest they can edge this; venue boosts defensive performance.
— Scoreline frequency

How often each scoreline showed up.

5 of 10 models settled on 27–20. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 27–20
    5 models
  • 27–21
    2 models
  • 27–17
    2 models
  • 28–17
    1 model

Match overview

Looking for a today prediction on San Francisco 49ers 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 (27 - 20; 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 San Francisco 49ers win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win San Francisco 49ers 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 San Francisco 49ers

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

02
Medium confidence

Mean 64% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 27.10 vs 19.30

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.