EST 0-1 INS · 48% 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% EST 0-1 INS · 48% 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%
NPB Finished

Hanshin Tigers
vs
Yokohama BayStars.

Quick answer

Who will win Hanshin Tigers vs Yokohama BayStars?

Final score: Hanshin Tigers 8–1 Yokohama BayStars. Before kickoff, 6 of 10 AI models pick Hanshin Tigers to win (60%); 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.

10 AI models read this game. The plurality on the winner leans toward Hanshin Tigers (6 of 10 models). The mean predicted score (rounded from all models) is 4–3 at 54% 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.

Hanshin Tigers win 60%

6 / 10 models

Yokohama BayStars win 40%

4 / 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
Hanshin Tigers win
4–3
55%
Recent meetings are split overall, though Yokohama won the two latest games. Hanshin’s home setting and earlier series success suggest a narrow, moderate-scoring Tigers rebound.
02
Claude Sonnet 5.5
Hanshin Tigers win
4–3
52%
Split recent H2H with BayStars winning last two, but Tigers held home strength earlier; expect a tight, low-scoring contest at Koshien.
03
Gemini 3.8 Flash
Hanshin Tigers win
4–2
58%
Hanshin's strong pitching at Koshien Stadium gives them the upper hand against a capable BayStars offense in a typically tight NPB divisional matchup.
04
Grok 4.7
Yokohama BayStars win
2–4
58%
BayStars took the last two meetings at Hanshin in low-run games (4-1, 3-2). Mixed earlier H2H keeps this a modest away lean, not a blowout.
05
DeepSeek V4 Pro
Yokohama BayStars win
4–5
62%
BayStars won the last two meetings at Hanshin and have been sharper in recent head-to-head scoring. Tigers' home edge is offset by Yokohama's current form.
06
Qwen 3.8 Max
Yokohama BayStars win
2–4
58%
BayStars won both September H2H meetings convincingly, showing current edge over Hanshin despite venue disadvantage.
07
Mistral Medium 3.5
Yokohama BayStars win
4–5
62%
Recent H2H favors BayStars (3-2 in last 5), with tighter margins; Tigers' home form inconsistent.
08
Kimi K3
Hanshin Tigers win
5–3
58%
Hanshin's home edge at Koshien and stronger August H2H showings outweigh Yokohama's tight September wins; expect a moderate-scoring Central League game.
09
GLM 5.3
Hanshin Tigers win
4–2
58%
Hanshin lead recent H2H 3-2 and won big at Yokohama in August; home venue offsets BayStars' two early-September wins, so a modest home margin fits.
10
MiMo V2.6 Pro
Hanshin Tigers win
4–3
58%
Hanshin's recent home form and series win in August suggest a slight edge, but BayStars' recent two-game sweep indicates a close contest.
— Scoreline frequency

How often each scoreline showed up.

3 of 10 models settled on 4–3. The rest of the list shows where dissent still lives before first pitch.

  • 4–3
    3 models
  • 4–5
    2 models
  • 2–4
    2 models
  • 4–2
    2 models
  • 5–3
    1 model
— Aggregated insights

What’s moving the panel.

01
Consensus favors Hanshin Tigers

60% of models lean home — the clearest cluster on this fixture before first pitch.

02
Medium confidence

Mean 54% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected runs tilt 3.70 vs 3.40

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 Hanshin Tigers vs Yokohama BayStars 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 Hanshin Tigers win, with vote shares roughly 60% / 40% home and away (rounded).

If you are asking who will win Hanshin Tigers vs Yokohama BayStars, 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.