COM 1-2 ASR · 47% ELC 1-1 CEL · 45% CRY 1-1 NOT · 45% HUL 1-2 EVE · 45% NIC 2-1 STR · 46% LAZ 2-0 MON · 51% LEC 0-1 BOL · 43% 1.F 2-2 BOR · 42% REA 2-0 DEP · 51% REN 2-1 AUX · 47% LIV 1-1 MAN · 43% SCF 2-0 FCS · 54% SAS 1-2 ACM · 47% REA 2-1 OSA · 45% COM 1-2 ASR · 47% ELC 1-1 CEL · 45% CRY 1-1 NOT · 45% HUL 1-2 EVE · 45% NIC 2-1 STR · 46% LAZ 2-0 MON · 51% LEC 0-1 BOL · 43% 1.F 2-2 BOR · 42% REA 2-0 DEP · 51% REN 2-1 AUX · 47% LIV 1-1 MAN · 43% SCF 2-0 FCS · 54% SAS 1-2 ACM · 47% REA 2-1 OSA · 45%
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NPB Oct 4, 2026 · 09:00 Finished

Chiba Lotte Marines
vs
Rakuten Gold. Eagles.

Quick answer

Who will win Chiba Lotte Marines vs Rakuten Gold. Eagles?

Final score: Chiba Lotte Marines 3–2 Rakuten Gold. Eagles. Before kickoff, 10 of 10 AI models pick Chiba Lotte Marines to win (100%); the consensus was right. The AI predicted score was 4–2.

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 58% of the time (234 games).

10 AI models read this game. The plurality on the winner leans toward Chiba Lotte Marines (10 of 10 models). The mean predicted score (rounded from all models) is 4–2 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

10 AI models · council in session Live match data · Pro

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“Will Chiba Lotte Marines beat Rakuten Gold. Eagles 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.

Chiba Lotte Marines win 100%

10 / 10 models

Rakuten Gold. Eagles 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
Chiba Lotte Marines win
4–2
63%
Chiba Lotte have won four of the last five listed meetings, including three consecutive home victories over Rakuten. With limited current-season information, a moderate home advantage and controlled scoring pace support a 4-2 result.
02
Claude Sonnet 5
Chiba Lotte Marines win
5–3
68%
Marines dominated recent head-to-head meetings, winning the last five straight with strong run production at home, supporting continued form.
03
Gemini 3.8 Flash
Chiba Lotte Marines win
4–2
62%
Chiba Lotte holds recent dominance in head-to-head clashes at ZOZO Marine Stadium, backed by reliable pitching to contain Rakuten's bats.
04
Grok 4.6
Chiba Lotte Marines win
5–3
62%
Lotte won four of five H2H, including a September home sweep. Venue plus that recent run supports a modest Marines win, not a blowout.
05
DeepSeek V4 Pro
Chiba Lotte Marines win
5–3
58%
Chiba Lotte has won four of the last five H2H meetings and is at home; Rakuten's recent scoring has been inconsistent, supporting a moderate home edge.
06
Qwen 3.8 Max
Chiba Lotte Marines win
4–2
68%
Lotte won 4 of last 5 H2H meetings including a 3-game sweep at home in September; home venue and recent dominance over Rakuten support another win.
07
Mistral Medium 3.5
Chiba Lotte Marines win
6–4
62%
Marines won 4 of last 5 vs Eagles; home form and recent high-scoring H2H favor them.
08
Kimi K3
Chiba Lotte Marines win
5–2
68%
Marines dominated recent H2H, winning three straight in September including 10-4 and 6-1. Home advantage and Rakuten's struggling offense against Lotte pitching support a moderate home victory.
09
GLM 5.3
Chiba Lotte Marines win
5–3
62%
Lotte won four of the last five meetings, including a 6-1 rout, and host again; Rakuten's occasional win keeps the margin modest.
10
MiMo V2.5 Pro
Chiba Lotte Marines win
4–2
62%
Chiba Lotte Marines have dominated recent H2H, winning four straight, including at home, showing consistent offense and solid pitching against this opponent.
— Scoreline frequency

How often each scoreline showed up.

4 of 10 models settled on 4–2. The rest of the list shows where dissent still lives before kickoff.

  • 4–2
    4 models
  • 5–3
    4 models
  • 6–4
    1 model
  • 5–2
    1 model

Match overview

Looking for a today prediction on Chiba Lotte Marines vs Rakuten Gold. Eagles 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 (4 - 2; 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 Chiba Lotte Marines win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Chiba Lotte Marines vs Rakuten Gold. Eagles, 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 Chiba Lotte Marines

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

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 4.70 vs 2.60

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.

Ask with match data Ask without data (free)

Confidence trend

Cumulative average confidence in table order.

First model Last model

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