AL- 0-2 AL- · 60% AL- 2-0 ALD · 60% IFE 2-1 MAL · 53% VAS 2-0 HAL · 62% RAN 1-2 BRO · 46% ALA 1-0 KOC · 50% GOA 2-1 TEL · 54% AL- 1-2 AL- · 43% VFB 2-0 BOR · 62% STA 2-1 NIC · 50% TOR 2-1 MON · 52% KOR 0-1 KVM · 52% IPS 2-1 NOT · 47% ALA 1-0 MAL · 60% AL- 0-2 AL- · 60% AL- 2-0 ALD · 60% IFE 2-1 MAL · 53% VAS 2-0 HAL · 62% RAN 1-2 BRO · 46% ALA 1-0 KOC · 50% GOA 2-1 TEL · 54% AL- 1-2 AL- · 43% VFB 2-0 BOR · 62% STA 2-1 NIC · 50% TOR 2-1 MON · 52% KOR 0-1 KVM · 52% IPS 2-1 NOT · 47% ALA 1-0 MAL · 60%
MLB · Final Sep 19, 2026 · 00:15 Finished

St.Louis Cardinals
vs
Washington Nationals.

Quick answer

Who will win St.Louis Cardinals vs Washington Nationals?

Final score: St.Louis Cardinals 1–9 Washington Nationals. Before kickoff, 10 of 10 AI models pick St.Louis Cardinals to win (100%); the consensus was wrong. The AI predicted score was 5–3.

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 58% of the time (237 games).

10 AI models read this game. The plurality on the winner leans toward St.Louis Cardinals (10 of 10 models). The mean predicted score (rounded from all models) is 5–3 at 55% 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 100%

10 / 10 models

Washington Nationals 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
St.Louis Cardinals win
5–3
57%
St. Louis has won three of the five recent meetings, including both prior home games listed, supporting a modest home edge. With limited current-season detail, a moderate-scoring 5-3 Cardinals win is the best estimate.
02
Claude Sonnet 5
St.Louis Cardinals win
5–3
58%
Cardinals won 4 of last 5 head-to-head meetings and hold home-field advantage; Nationals have shown weaker recent finishing against this opponent.
03
Gemini 3.8 Flash
St.Louis Cardinals win
5–3
61%
St. Louis holds the home-field advantage at Busch Stadium and demonstrated offensive control in recent series meetings against Washington's inconsistent pitching rotation.
04
Grok 4.6
St.Louis Cardinals win
5–3
58%
Cardinals hold recent H2H and home-park edge; Nationals scoring has been mixed. Modest 5-3 pace fits a typical Busch night without extra-inning risk.
05
DeepSeek V4 Pro
St.Louis Cardinals win
5–3
61%
Cardinals have won three of the last four H2H meetings, including two in Washington, and hold home field. Nationals' offense has been inconsistent in this matchup.
06
Qwen 3.8 Max
St.Louis Cardinals win
5–3
62%
Cardinals won 3 of 5 H2H this season including a 6-1 road win in April; home venue advantage supports a moderate-margin victory.
07
Mistral Medium 3.5
St.Louis Cardinals win
6–4
62%
Cardinals hold 4-1 H2H edge this season; home advantage and recent scoring form favor St.Louis.
08
Kimi K3
St.Louis Cardinals win
6–4
62%
Cardinals won three of the last four against Washington, including two April wins at Nationals Park; home field at Busch and H2H edge favor St.Louis in a moderate-scoring game.
09
GLM 5.3
St.Louis Cardinals win
6–4
62%
Cardinals won 4 of 5 recent H2H meetings, including scoring 6-7 runs often, plus home-field edge in St. Louis; Nationals' offense keeps it close but falls short.
10
MiMo V2.6 Pro
St.Louis Cardinals win
6–4
62%
Cardinals have won 3 of last 5 H2H, including two recent high-scoring wins at home; their offense appears more potent in this matchup.
— Scoreline frequency

How often each scoreline showed up.

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

  • 5–3
    6 models
  • 6–4
    4 models
— Aggregated insights

What’s moving the panel.

01
Consensus favors St.Louis Cardinals

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

02
Medium confidence

Mean 55% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected runs tilt 5.40 vs 3.40

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 Washington Nationals 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 St.Louis Cardinals win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win St.Louis Cardinals vs Washington Nationals, 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.