LLA 0-1 JUN · 50% CFP 1-1 TIG · 45% EST 0-1 INS · 48% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% LLA 0-1 JUN · 50% CFP 1-1 TIG · 45% EST 0-1 INS · 48% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63%
MLB · Final Finished

St.Louis Cardinals
vs
San Francisco Giants.

Quick answer

Who will win St.Louis Cardinals vs San Francisco Giants?

Final score: St.Louis Cardinals 2–1 San Francisco Giants. Before kickoff, 7 of 10 AI models pick San Francisco Giants to win (70%); the consensus was wrong. The AI predicted score was 4–5.

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

10 AI models read this game. The plurality on the winner leans toward San Francisco Giants (7 of 10 models). The mean predicted score (rounded from all models) is 4–5 at 54% 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.

St.Louis Cardinals win 30%

3 / 10 models

San Francisco Giants win 70%

7 / 10 models

— Model breakdown

10 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-6 Luna
San Francisco Giants win
5–6
57%
San Francisco won all three 2026 meetings, including two one-run games and a 7-6 contest. St. Louis gains home-field advantage, but the Giants' recent matchup edge supports a narrow, moderately high-scoring win.
02
Claude Sonnet 5.5
St.Louis Cardinals win
5–4
55%
Giants have won recent H2H meetings but games were tight and high-scoring; home field edge for Cardinals in a close, competitive matchup.
03
Gemini 3.8 Flash
St.Louis Cardinals win
5–4
56%
The Cardinals bounce back at home after tightly contested road losses to San Francisco, leveraging home-field advantage in another close, high-stakes game.
04
Grok 4.7
San Francisco Giants win
4–5
56%
Giants won the last three 2026 meetings by one run each. Cardinals have home park, but that H2H still tilts a tight, similar-pace game to San Francisco.
05
DeepSeek V4 Pro
San Francisco Giants win
4–5
58%
Giants have won four straight in this matchup, all by one run; even at St. Louis, expect another tight game with San Francisco's recent edge holding.
06
Qwen 3.8 Max
San Francisco Giants win
3–4
62%
Giants swept the recent three-game series against Cardinals in September 2026, showing clear edge in this matchup despite playing on the road.
07
Mistral Medium 3.5
San Francisco Giants win
3–4
60%
Giants won last 3 H2H by 1 run; home edge not enough to overcome recent away form.
08
Kimi K3
San Francisco Giants win
4–5
58%
Giants took four of the last five meetings, all tight one-run games, showing a persistent edge in this matchup; Cardinals' home field keeps it close but San Francisco's recent form prevails.
09
GLM 5.3
San Francisco Giants win
5–6
58%
Giants won the last four H2H meetings, all by one or two runs, including a sweep in St. Louis this week; home field only partially offsets that edge.
10
MiMo V2.6 Pro
St.Louis Cardinals win
4–3
55%
Giants have the H2H edge at their home stadium, but Cardinals' home-field advantage and the consistently low margins in past meetings suggest a close home win.
— Scoreline frequency

How often each scoreline showed up.

3 of 10 models settled on 4–5. The rest of the list shows where dissent still lives before first pitch.

  • 4–5
    3 models
  • 5–6
    2 models
  • 5–4
    2 models
  • 3–4
    2 models
  • 4–3
    1 model
— Aggregated insights

What’s moving the panel.

01
Consensus favors San Francisco Giants

70% of models lean away — the clearest cluster on this fixture before first pitch.

02
Medium confidence

Mean 54% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected runs tilt 4.20 vs 4.60

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

04
Match context

Rest, recent form and home advantage usually decide whether the favourite wins comfortably or the game stays close; check both teams below.

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

Match overview

Looking for a today prediction on St.Louis Cardinals vs San Francisco Giants 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 - 5; the frequency chart below lists the most common exact scorelines), and implied splits before first pitch.

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 Giants win, with vote shares roughly 30% / 70% home and away (rounded).

If you are asking who will win St.Louis Cardinals vs San Francisco Giants, 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.

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.