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%
J1 League · Regular Season - 13 IAI Stadium Nihondaira, Shizuoka Not Started

Shimizu S-pulse
vs
Tokyo Verdy.

Quick answer

Who will win Shimizu S-pulse vs Tokyo Verdy?

10 of 10 AI models pick Shimizu S-pulse to win (100%). The mean predicted score is 1–0 at 48% average confidence (medium).

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

Head-to-head history → Shimizu S-pulse form Tokyo Verdy form

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (806 matches).

10 AI models read this match. The plurality on 1X2 leans toward Shimizu S-pulse (10 of 10 models). The mean predicted score (rounded from all models) is 1–0 at 48% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

J1 League table Where Shimizu S-pulse and Tokyo Verdy stand right now
— Consensus

Where the panel lands.

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

Shimizu S-pulse win 100%

10 / 10 models

Draw 0%

0 / 10 models

Tokyo Verdy 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
Shimizu S-pulse win
1–0
54%
Shimizu’s home advantage and three recent wins over Tokyo Verdy support a narrow edge, while both teams have scored sparingly and Verdy have failed to score six times.
02
Claude Sonnet 5.5
Shimizu S-pulse win
1–0
45%
Shimizu holds home H2H edge and better recent form; both teams struggle scoring, Verdy winless in 6 of last matches, favoring a tight low-scoring home win.
03
Gemini 3.8 Flash
Shimizu S-pulse win
1–0
52%
Both sides struggle offensively, failing to score frequently. Shimizu edge the match via home advantage and strong recent head-to-head dominance in 1-0 results.
04
Grok 4.7
Shimizu S-pulse win
1–0
42%
Both attack poorly (10 and 9 goals in 12). Shimizu’s slightly better form and two recent 1-0 H2H wins support a narrow home edge.
05
DeepSeek V4 Pro
Shimizu S-pulse win
1–0
55%
Shimizu won both recent H2H meetings 1-0 and hold home advantage; Verdy's poor form and low scoring support a narrow home win.
06
Qwen 3.8 Max
Shimizu S-pulse win
1–0
42%
Both sides are low-scoring; Shimizu's home edge and two consecutive 1-0 H2H wins over struggling Verdy (1W all season) support a narrow home victory.
07
Meta Muse Spark 1.3
Shimizu S-pulse win
1–0
48%
Both score under 1.0 per game with 11 combined blanks; Shimizu has home edge at Nihondaira and back-to-back 1-0 H2H wins.
08
Kimi K3
Shimizu S-pulse win
1–0
52%
Shimizu have won three of the last four H2Hs including the last two 1-0, and Tokyo Verdy's attack is blunt (9 goals, failed to score 6 times). Low-scoring home edge.
09
GLM 5.3
Shimizu S-pulse win
1–0
48%
Shimizu's modest form still beats Verdy's 1W in 12; H2H shows tight, low-scoring meetings with narrow Shimizu wins, and Verdy struggle to score.
10
MiMo V2.6 Pro
Shimizu S-pulse win
1–0
42%
Both sides struggle to score (Shimizu 5 blanks, Verdy 6), but Shimizu's home edge and two straight H2H wins, both 1-0, favor a narrow home win.
— Scoreline frequency

How often each scoreline showed up.

10 of 10 models settled on 1–0. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 1–0
    10 models
Team news

Predicted lineups: Shimizu S-pulse vs Tokyo Verdy

Each side's last starting XI, with players ruled out of this match marked. The confirmed lineups replace this about an hour before kickoff.

Shimizu S-pulse

4-3-3 · XI v Kyoto Sanga, 31 Oct
T. Yoshida
7 Capixaba
7 Capixaba
9 Oh Se-Hun
9 Se-Hun
13 R. Germain
13 Germain
21 K. Matsuzaki
21 Matsuzaki
17 M. Yumiba
17 Yumiba
37 K. Koizumi
37 Koizumi
25 Mateus Brunetti
25 Brunetti
4 S. Hasukawa
4 Hasukawa
3 Y. Takahashi
3 Takahashi
24 H. Sugai
24 Sugai
1 Y. Oki
1 Oki

Tokyo Verdy

4-4-2 · XI v Avispa Fukuoka, 24 Oct
N. Soma
25 I. Kumatoriya
25 Kumatoriya
33 K. Ichimi
33 Ichimi
40 Y. Arai
40 Arai
16 R. Hirakawa
16 Hirakawa
8 K. Saito
8 Saito
19 K. Fujimoto
19 Fujimoto
18 S. Mizoguchi
18 Mizoguchi
96 Cho Yu-Min
96 Yu-Min
4 N. Hayashi
4 Hayashi
22 Y. Uchida
22 Uchida
1 Matheus Vidotto
1 Vidotto

Season data

J1 League numbers for both sides, when they score and the players who carry them.

Shimizu S-pulse

4-3-3
W-D-L
4-2-6
Goals
10-20
Clean sheets
2
Failed to score
5
Best win run
3
Penalties
1/1
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Tokyo Verdy

3-4-2-1
W-D-L
1-5-6
Goals
9-21
Clean sheets
2
Failed to score
6
Best win run
0
Penalties
0/0
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · Shimizu S-pulse

  • T. Fujii 1 G · 3 A · 12 apps

Key players · Tokyo Verdy

  • S. Mizoguchi 1 G · 3 A · 10 apps

Top scorers · J1 League

  1. 1 Léo Ceará Kashima 12
  2. 2 Marcinho Kawasaki Frontale 8
  3. 3 A. Suzuki Sanfrecce Hiroshima 8
  4. 4 M. Nagakura FC Tokyo 7
  5. 5 Y. Segawa Kashiwa Reysol 7
Venue IAI Stadium Nihondaira, Shizuoka
New at Shimizu S-pulse T. Hirato (Kyoto Sanga), Won Du-Jae (Khorfakkan), Vini Peixoto (Zeljeznicar Sarajevo)
New at Tokyo Verdy K. Fujimoto (Birmingham), K. Ichimi (Fagiano Okayama), K. Shibato (Urawa)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Shimizu S-pulse

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

02
Medium confidence

Mean 48% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.00 vs 0.00

Derived from predicted scorelines (model means), not live match 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.

— Match context

Form, history, team news.

Shimizu S-pulse
#13 · 14 PTS · GD -10
Last 5
L L L D L
3 GF · 15 GA
Recent fixtures
  • Kyoto Sanga 2-0 L
  • Sanfrecce Hiroshima 4-0 L
  • Machida Zelvia 0-5 L
  • Gamba Osaka 2-2 D
  • Yokohama F. Marinos 2-1 L
Team news

No major injury updates in the current API snapshot.

Tokyo Verdy
#18 · 8 PTS · GD -12
Last 5
W D L L L
6 GF · 11 GA
Recent fixtures
  • Avispa Fukuoka 3-1 W
  • Yokohama F. Marinos 2-2 D
  • FC Tokyo 0-4 L
  • Sanfrecce Hiroshima 0-2 L
  • Sagan Tosu 2-1 L
Team news

No major injury updates in the current API snapshot.

Confidence trend

Cumulative average confidence in table order.

First model Last model

Betting tips (AI-signal view)

Educational only — not financial advice. We summarize how the AI picks cluster so you can cross-check with your own staking plan.

  • Lean with the plurality: when 100% of models side with Shimizu S-pulse, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — tight J1 League games often compress toward stalemates when both midfields win the second-ball.
  • If you chase “best bets today” narratives, require alignment between the headline pick and the score-frequency table; conflicting signals usually mean thinner edge.

Odds & analysis (implied probabilities)

Implied fair percentages from the model vote share (normalized to 100%) approximate how a balanced market might price the 1X2 if it mirrored this panel — useful for odds analysis homework even though we do not quote sportsbook ticks here.

Shimizu S-pulse
~100%
implied lean
Draw
~0%
implied lean
Tokyo Verdy
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 1.00 goals in expectation. A notional totals line near 1.3 is consistent with that pace (rounded for readability). If your sportsbook posts a similar number, compare juice and live team news before deciding either side of the total.

Handicap prediction (spread-style read)

When Shimizu S-pulse is priced as the stronger side in the model vote, a −1 handicap narrative only clears if the most common scorelines include multi-goal wins. Cross-check the score-frequency list: if tight one-goal wins dominate, Asian handicaps near pick’em or −0.5 / −0.75 splits often fit the story better than a full −1.5 sell.

BTTS prediction (both teams to score)

With combined offensive weight near 1.00 xG, a heuristic “both teams score” prior lands around 55% yes before defensive adjustments. If several top models forecast clean-sheet pathways, downgrade BTTS enthusiasm even when the raw xG sum looks juicy.

Best bet framing (consensus-led)

Our headline best bet label follows the consensus recommendation: Shimizu S-pulse win. Pair that with the confidence band (Medium) — high dispersion across models usually argues for smaller stake or pass, even when the headline pick looks tempting for a today prediction card on social.

Match overview

Looking for a today prediction on Shimizu S-pulse vs Tokyo Verdy in J1 League? 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 (1 - 0; 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 Shimizu S-pulse win, with vote shares roughly 100% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win Shimizu S-pulse vs Tokyo Verdy, 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.

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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.