UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60% UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60%
NPB Sep 8, 2026 · 09:00 Not Started

Chiba Lotte Marines
vs
Rakuten Gold. Eagles.

10 AI models read this game. The plurality on the winner leans toward Chiba Lotte Marines (9 of 10 models). The mean predicted score (rounded from all models) is 4–3 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.

Chiba Lotte Marines win 90%

9 / 10 models

Rakuten Gold. Eagles win 10%

1 / 10 models

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— 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
4–3
52%
Recent meetings are balanced, with Rakuten holding a 3-2 edge across the listed games, but Chiba Lotte's home venue and latest 4-3 victory support a narrow, moderate-scoring home win.
02
Claude Sonnet 5
Chiba Lotte Marines win
4–3
55%
Marines won the most recent H2H meeting despite Rakuten's stronger mid-August stretch; close home edge expected in a tight, low-scoring matchup.
03
Gemini 3.8 Flash
Chiba Lotte Marines win
4–3
56%
Recent head-to-head fixtures between the two sides have been tightly contested. Lotte has a slight advantage at ZOZO Marine Stadium with reliable relief pitching.
04
Grok 4.6
Chiba Lotte Marines win
4–3
54%
H2H is mixed (Rakuten 3 of last 5) but Lotte won the latest 4-3 and hosts. Thin 2026 form beyond that series, so a close home edge in typical NPB scoring.
05
DeepSeek V4 Pro
Chiba Lotte Marines win
4–3
58%
Lotte won the most recent meeting and have home advantage, though Rakuten took two of three in August to keep it close.
06
Qwen 3.8 Max
Chiba Lotte Marines win
4–3
52%
Marines won the most recent H2H meeting and have home advantage, though Eagles took two of three in August. Expect a close contest with Lotte edging it.
07
Mistral Medium 3.5
Chiba Lotte Marines win
4–2
60%
Marines won last meeting and have home edge; recent games show moderate scoring.
08
Kimi K3
Rakuten Gold. Eagles win
3–4
56%
Rakuten took three of the last five meetings with solid run production, though Lotte won the most recent clash; expect a tight, low-scoring game with a slight Eagles edge.
09
GLM 5.3
Chiba Lotte Marines win
4–3
55%
H2H is split 3-2 to Rakuten, but Lotte won the latest meeting and host here; both sides show modest scoring, so a tight home win fits.
10
MiMo V2.5 Pro
Chiba Lotte Marines win
4–3
55%
Marines have home venue and won the last H2H away; recent scores indicate moderate margins, favoring a close home win.
— Scoreline frequency

How often each scoreline showed up.

8 of 10 models settled on 4–3. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 4–3
    8 models
  • 4–2
    1 model
  • 3–4
    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 - 3; 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 90% / 10% 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

90% of models lean home — the clearest cluster on this fixture before kickoff.

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 3.90 vs 3.00

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.

Confidence trend

Cumulative average confidence in table order.

First model Last model

Explore more

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— Journal

Articles linked to these clubs or AI forecasting.

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