MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50% FAL 0-2 CEL · 62% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50% FAL 0-2 CEL · 62%
NPB Finished

Yokohama BayStars
vs
Yomiuri Giants.

Quick answer

Who will win Yokohama BayStars vs Yomiuri Giants?

Final score: Yokohama BayStars 13–2 Yomiuri Giants. Before kickoff, 10 of 10 AI models pick Yokohama BayStars to win (100%); the consensus was right. The AI predicted score was 4–3.

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 59% of the time (239 games).

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 4–3 at 53% 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.

Yokohama BayStars win 100%

10 / 10 models

Yomiuri Giants 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-6 Luna
Yokohama BayStars win
3–2
57%
Yokohama has won three of the last five meetings, including the most recent, and now has home-field advantage. The series has generally been tight and relatively low-scoring, supporting a narrow BayStars win.
02
Claude Sonnet 5.5
Yokohama BayStars win
4–3
56%
BayStars won 3 of last 5 H2H including most recent meeting, with home venue edge; games trending close and low-scoring.
03
Gemini 3.8 Flash
Yokohama BayStars win
4–3
56%
Recent head-to-head meetings have been extremely tight pitching duels. Yokohama's solid home record gives them a slight edge to edge out the Giants in another one-run game.
04
Grok 4.7
Yokohama BayStars win
4–3
56%
Recent H2H is split but BayStars won the last meeting 2-1 and two of three at home; late-season NPB scoring stays tight, so a one-run home edge fits.
05
DeepSeek V4 Pro
Yokohama BayStars win
3–2
58%
BayStars have won three of the last five meetings and hold home advantage; recent contests at Yokohama stayed tight and low-scoring. Their narrow edge in close games supports a one-run home win.
06
Qwen 3.8 Max
Yokohama BayStars win
4–3
58%
BayStars won 3 of last 5 H2H including both home games in August; home venue and recent head-to-head edge favor Yokohama in a close contest.
07
Mistral Medium 3.5
Yokohama BayStars win
4–3
60%
Home edge and recent H2H favor Yokohama; close scoring expected.
08
Kimi K3
Yokohama BayStars win
4–3
58%
Yokohama won three of the last five meetings, all decided by one run, and holds home-field edge; expect another tight, low-scoring contest with the BayStars edging it late.
09
GLM 5.3
Yokohama BayStars win
4–3
58%
BayStars won 3 of last 5 H2H, including the latest meeting; home venue adds edge in a tight, low-run NPB matchup.
10
MiMo V2.6 Pro
Yokohama BayStars win
4–3
58%
BayStars have home advantage and won their last two home H2H games; Giants scored well away recently but inconsistent.
— 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
  • 3–2
    2 models
— Aggregated insights

What’s moving the panel.

01
Consensus favors Yokohama BayStars

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

02
Medium confidence

Mean 53% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected runs tilt 3.80 vs 2.80

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 Yokohama BayStars vs Yomiuri Giants 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 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 Yokohama BayStars win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Yokohama BayStars vs Yomiuri Giants, 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.

Related matches

— 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.