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% CER 1-2 ANT · 50% GET 0-1 SEV · 50% 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% CER 1-2 ANT · 50% GET 0-1 SEV · 50%
MLB · Final Inning 9

Pittsburgh Pirates
vs
St.Louis Cardinals.

Quick answer

Who will win Pittsburgh Pirates vs St.Louis Cardinals?

10 of 10 AI models pick Pittsburgh Pirates to win (100%). The mean predicted score is 5–3 at 54% average confidence (medium).

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

All 10 AIs agree. When the whole council agrees, it has been right 59% of the time (239 games).

10 AI models read this game. The plurality on the winner leans toward Pittsburgh Pirates (10 of 10 models). The mean predicted score (rounded from all models) is 5–3 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.

Pittsburgh Pirates win 100%

10 / 10 models

St.Louis 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-6 Luna
Pittsburgh Pirates win
5–3
62%
Pittsburgh has won four of the last five listed meetings, including both recent games at St. Louis. Returning home supports a moderate Pirates edge, with a balanced scoring projection rather than a dominant outcome.
02
Claude Sonnet 5.5
Pittsburgh Pirates win
5–3
60%
Pirates have won four of last five head-to-head meetings, including recent late-season sweeps, suggesting a favorable matchup continues at home.
03
Gemini 3.8 Flash
Pittsburgh Pirates win
5–3
58%
Pittsburgh has had the upper hand in recent head-to-head clashes this season, utilizing PNC Park effectively to stifle St. Louis's scoring.
04
Grok 4.7
Pittsburgh Pirates win
5–3
58%
Pirates took four of five 2026 H2H meetings, often by multiple runs. Home venue and that recent edge support a moderate Pittsburgh win, not a blowout.
05
DeepSeek V4 Pro
Pittsburgh Pirates win
5–3
52%
Pittsburgh won four of the last five H2H meetings, including two at home, and scored 5+ runs in three of those. Home venue and recent edge support a moderate Pirates win.
06
Qwen 3.8 Max
Pittsburgh Pirates win
5–3
62%
Pirates dominated recent H2H, winning 4 of last 5 meetings convincingly. Home venue and consistent offensive output against Cardinals support another Pirates victory.
07
Mistral Medium 3.5
Pittsburgh Pirates win
5–3
62%
Pirates won 4 of last 5 vs Cardinals, including recent home series. Home edge and momentum favor Pirates.
08
Kimi K3
Pittsburgh Pirates win
5–3
58%
Pirates took four of five 2026 meetings, including an August series in St. Louis; home edge at PNC and H2H momentum favor Pittsburgh in a moderate-scoring game.
09
GLM 5.3
Pittsburgh Pirates win
5–3
58%
Pirates won four of five recent meetings with St. Louis and hold home advantage; moderate confidence since rosters and late-season form may have shifted since August.
10
MiMo V2.6 Pro
Pittsburgh Pirates win
4–2
62%
Pirates have won 4 of last 5 H2H, including two recent home wins, suggesting a consistent edge. Cardinals' offense has been inconsistent in these matchups.
— Scoreline frequency

How often each scoreline showed up.

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

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

What’s moving the panel.

01
Consensus favors Pittsburgh Pirates

100% of models lean home — 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 4.90 vs 2.90

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 Pittsburgh Pirates vs St.Louis Cardinals 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 (5 - 3; 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 Pittsburgh Pirates win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Pittsburgh Pirates vs St.Louis 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.

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.