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 2-1 BOR · 61% STA 1-1 NIC · 56% TOR 1-0 MON · 59% KOR 0-1 KVM · 52% IPS 1-2 NOT · 57% ALA 1-0 MAL · 58% 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 2-1 BOR · 61% STA 1-1 NIC · 56% TOR 1-0 MON · 59% KOR 0-1 KVM · 52% IPS 1-2 NOT · 57% ALA 1-0 MAL · 58%
NPB Oct 3, 2026 · 09:00 Finished

Chiba Lotte Marines
vs
Fukuoka S. Hawks.

Quick answer

Who will win Chiba Lotte Marines vs Fukuoka S. Hawks?

Final score: Chiba Lotte Marines 2–1 Fukuoka S. Hawks. Before kickoff, 10 of 10 AI models pick Fukuoka S. Hawks to win (100%); the consensus was wrong. The AI predicted score was 3–5.

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 Fukuoka S. Hawks (10 of 10 models). The mean predicted score (rounded from all models) is 3–5 at 57% 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.

Chiba Lotte Marines win 0%

0 / 10 models

Fukuoka S. Hawks win 100%

10 / 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
Fukuoka S. Hawks win
5–6
68%
Fukuoka has won four of the last five meetings, including three recent victories over Chiba Lotte. The Marines’ home setting should keep the margin moderate, but the Hawks’ recent offensive edge supports an away win.
02
Claude Sonnet 5
Fukuoka S. Hawks win
6–7
62%
Hawks have won last three head-to-head meetings decisively, showing stronger current form against Marines despite road setting.
03
Gemini 3.8 Flash
Fukuoka S. Hawks win
3–5
64%
Fukuoka has dominated recent head-to-head encounters with superior offensive depth, consistently out-producing Lotte's pitching staff down the stretch.
04
Grok 4.6
Fukuoka S. Hawks win
3–5
62%
Hawks took four of the last five meetings, including three straight wins in September. Marines at home may keep it close, but Hawks’ recent run support and finishing still favor an away win.
05
DeepSeek V4 Pro
Fukuoka S. Hawks win
5–6
58%
Hawks have won four of the last five meetings, including three straight, and outscored Lotte 27-11 in that span; their lineup looks better suited to this matchup.
06
Qwen 3.8 Max
Fukuoka S. Hawks win
3–5
72%
Hawks dominated recent H2H, winning four of last five meetings convincingly including an 11-1 blowout. Their offensive edge over Lotte is clear and consistent across venues.
07
Mistral Medium 3.5
Fukuoka S. Hawks win
6–7
68%
Hawks dominant in recent H2H, including three straight wins over Marines with strong run margins.
08
Kimi K3
Fukuoka S. Hawks win
3–5
62%
Hawks dominate recent H2H, winning four of last five including three straight in September. Their offense consistently produces 4-7 runs against Lotte, who struggle to keep pace.
09
GLM 5.3
Fukuoka S. Hawks win
2–5
60%
Hawks won four of the last five meetings, including three straight in September; their pitching held Lotte to four or fewer runs in most of those games.
10
MiMo V2.6 Pro
Fukuoka S. Hawks win
4–5
62%
Hawks dominated recent H2H (4-1 last 5) and are the stronger side; Marines' home advantage is offset by Hawks' consistent scoring and Marines' recent losses.
— Scoreline frequency

How often each scoreline showed up.

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

  • 3–5
    4 models
  • 5–6
    2 models
  • 6–7
    2 models
  • 4–5
    1 model
  • 2–5
    1 model
— Aggregated insights

What’s moving the panel.

01
Consensus favors Fukuoka S. Hawks

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

02
Medium confidence

Mean 57% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected runs tilt 4.00 vs 5.60

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 Chiba Lotte Marines vs Fukuoka S. Hawks in NPB? 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 (3 - 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 Fukuoka S. Hawks win, with vote shares roughly 0% / 100% home and away (rounded).

If you are asking who will win Chiba Lotte Marines vs Fukuoka S. Hawks, 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.