DEP 1-1 REA · 58% VIL 2-1 LEV · 62% ALM 2-0 CEL · 59% LAS 1-0 BUR · 54% CLU 2-1 GEN · 57% KAL 0-2 PAN · 63% EST 1-1 CAS · 51% SAN 0-1 SCB · 57% AME 0-2 BEş · 61% GöZ 1-0 RIZ · 53% KOR 1-0 SKB · 53% BRA 1-2 BOD · 57% SCP 1-2 189 · 58% MOD 1-1 EMP · 51% DEP 1-1 REA · 58% VIL 2-1 LEV · 62% ALM 2-0 CEL · 59% LAS 1-0 BUR · 54% CLU 2-1 GEN · 57% KAL 0-2 PAN · 63% EST 1-1 CAS · 51% SAN 0-1 SCB · 57% AME 0-2 BEş · 61% GöZ 1-0 RIZ · 53% KOR 1-0 SKB · 53% BRA 1-2 BOD · 57% SCP 1-2 189 · 58% MOD 1-1 EMP · 51%
NPB Sep 17, 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 1–5 Rakuten Gold. Eagles. Before kickoff, 10 of 10 AI models pick Chiba Lotte Marines to win (100%); the consensus was wrong.

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

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 5–2 at 67% 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

Still not sure? Ask 10 AIs at once:
“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
67%
Chiba Lotte won all three recent meetings in September and four of the last five overall. With home advantage and Rakuten held to two or fewer runs in the latest series, a moderate-scoring Marines win is the best estimate.
02
Claude Sonnet 5
Chiba Lotte Marines win
5–3
68%
Marines have won the last three meetings decisively and hold home advantage, showing clear recent dominance in this matchup.
03
Gemini 3.8 Flash
Chiba Lotte Marines win
5–2
62%
Chiba Lotte has controlled recent head-to-head encounters against Rakuten, showing stronger offensive execution and pitching stability at home.
04
Grok 4.6
Chiba Lotte Marines win
5–2
62%
Marines swept last week's home series and won four of five H2H. Chiba's recent venue dominance supports a home win at a typical NPB scoring pace.
05
DeepSeek V4 Pro
Chiba Lotte Marines win
5–2
70%
Chiba Lotte have beaten Rakuten in four straight meetings, including 6-1 and 10-4 home wins last week; home venue and stronger recent offense support a multi-run victory.
06
Qwen 3.8 Max
Chiba Lotte Marines win
4–2
72%
Lotte swept the last three H2H meetings at home convincingly, showing clear dominance over Rakuten in this stretch. Home venue and momentum favor another Marines win.
07
Mistral Medium 3.5
Chiba Lotte Marines win
5–2
70%
Marines won last 3 vs Eagles; strong recent form at home.
08
Kimi K3
Chiba Lotte Marines win
5–3
69%
Lotte have taken four of the last five H2H, including three straight home wins over Rakuten in September; Rakuten’s lone recent win was lower-scoring, so a moderate home edge fits.
09
GLM 5.3
Chiba Lotte Marines win
5–3
62%
Lotte won four of the last five H2H, including a three-game sweep at home this month; modest home edge, moderate margin.
10
MiMo V2.5 Pro
Chiba Lotte Marines win
5–3
70%
Chiba Lotte Marines have won their last three home games against Rakuten Eagles with scores 6-1, 10-4, and 3-2, indicating strong home form and offensive edge.
— Scoreline frequency

How often each scoreline showed up.

4 of 10 models settled on 5–2. The rest of the list shows where dissent still lives before kickoff.

  • 5–2
    4 models
  • 5–3
    4 models
  • 4–2
    2 models

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 (5 - 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 67% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected runs tilt 4.80 vs 2.40

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.

Confidence trend

Cumulative average confidence in table order.

First model Last model

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.