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 10, 2026 · 09:00 Not Started

Yokohama BayStars
vs
Yakult Swallows.

10 AI models read this game. The plurality on the winner leans toward Yokohama BayStars (10 of 10 models). The mean predicted score (rounded from all models) is 5–3 at 58% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

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— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Yokohama BayStars win 100%

10 / 10 models

Yakult Swallows win 0%

0 / 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
Yokohama BayStars win
5–3
57%
Yokohama’s home advantage and 9-2 win in the latest meeting provide a modest edge, though Yakult won the prior game and the closely contested series suggests a competitive, medium-scoring finale.
02
Claude Sonnet 5
Yokohama BayStars win
6–4
56%
BayStars won the most recent meeting 9-2 at home and split the H2H series recently; home venue edge tips a close, moderately high-scoring game.
03
Gemini 3.8 Flash
Yokohama BayStars win
5–3
56%
Yokohama found strong offensive rhythm in yesterday's 9-2 victory and holds the home advantage at Yokohama Stadium to take the rubber match.
04
Grok 4.6
Yokohama BayStars win
5–3
58%
Rubber game after a 1-1 Yokohama split: BayStars just won 9-2 at home after a 1-3 loss. Home park and that outburst favor them at a typical NPB margin.
05
DeepSeek V4 Pro
Yokohama BayStars win
4–2
58%
Yokohama won 9-2 yesterday at home and have the venue edge, though Yakult took two of the last three meetings; expect a moderate home win.
06
Qwen 3.8 Max
Yokohama BayStars win
5–3
62%
BayStars bounced back with a 9-2 blowout win yesterday at home; momentum and venue favor Yokohama despite Yakult's earlier August dominance.
07
Mistral Medium 3.5
Yokohama BayStars win
5–3
65%
Home momentum from 9-2 win yesterday; Yakult competitive but Yokohama's offense clicking at home.
08
Kimi K3
Yokohama BayStars win
5–4
52%
H2H is split — Yakult took 3 of last 5, but BayStars just won 9-2 at home yesterday; slight home edge in a tight, moderate-scoring game.
09
GLM 5.3
Yokohama BayStars win
5–2
58%
Yokohama just beat Yakult 9-2 at home and carry momentum into this same-venue rematch; Yakult's recent bats have been quiet, so a moderate home margin fits.
10
MiMo V2.5 Pro
Yokohama BayStars win
5–3
60%
BayStars' big home win yesterday and venue edge tilt outcome; H2H shows varied scoring but recent high-scoring home success.
— 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
    1 model
  • 4–2
    1 model
  • 5–4
    1 model
  • 5–2
    1 model

Match overview

Looking for a today prediction on Yokohama BayStars vs Yakult Swallows 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 - 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 Yokohama BayStars win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Yokohama BayStars vs Yakult Swallows, 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 Yokohama BayStars

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

02
Medium confidence

Mean 58% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected runs tilt 5.00 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

Keep browsing today prediction coverage and league hubs.

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— Journal

Articles linked to these clubs or AI forecasting.

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