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 Ajinomoto Stadium, Tokyo Not Started

FC Tokyo
vs
Kashima.

Quick answer

Who will win FC Tokyo vs Kashima?

10 of 10 AI models pick FC Tokyo to win (100%). The mean predicted score is 1–0 at 51% average confidence (medium).

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

Head-to-head history → FC Tokyo form Kashima 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 FC Tokyo (10 of 10 models). The mean predicted score (rounded from all models) is 1–0 at 51% 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 FC Tokyo and Kashima stand right now
— Consensus

Where the panel lands.

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

FC Tokyo win 100%

10 / 10 models

Draw 0%

0 / 10 models

Kashima 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
FC Tokyo win
1–0
59%
FC Tokyo’s 8-1-3 start, 27-8 goal record and nine clean sheets contrast with Kashima’s 21 conceded. Recent meetings favor Kashima, but Ajinomoto Stadium and Tokyo’s defensive consistency support a narrow home win.
02
Claude Sonnet 5.5
FC Tokyo win
2–0
58%
FC Tokyo's dominant form (8W-3D-1L, 9 clean sheets) and strong home record outweigh Kashima's h2h edge, though Léo Ceará's scoring threat keeps risk present.
03
Gemini 3.8 Flash
FC Tokyo win
1–0
48%
FC Tokyo boast an exceptional defensive record with 9 clean sheets in 12 games, giving them the edge to edge a tight clash at Ajinomoto Stadium.
04
Grok 4.7
FC Tokyo win
2–0
52%
Tokyo’s 8-3-1, 27-8 and nine clean sheets at Ajinomoto outweigh Kashima’s H2H edge; Léo Ceará is a threat but Tokyo’s form points to a shutout home win.
05
DeepSeek V4 Pro
FC Tokyo win
1–0
48%
FC Tokyo's 9 clean sheets and 27-8 goal record show strong defense at home, but Kashima's Léo Ceará form and H2H edge keep this tight. A narrow 1-0 fits Tokyo's low-scoring control.
06
Qwen 3.8 Max
FC Tokyo win
1–0
40%
FC Tokyo's elite defense (9 clean sheets in 12) and strong form edge out Kashima's H2H dominance; expect a tight, low-scoring home win.
07
Meta Muse Spark 1.3
FC Tokyo win
1–0
52%
FC Tokyo 9 clean sheets in 12 with 27-8 meets Kashima bogey H2H; home at Ajinomoto and tighter defense edges it narrowly.
08
Kimi K3
FC Tokyo win
1–0
52%
FC Tokyo's elite defense (8 conceded, 9 clean sheets) and home form (WWWDW) face Kashima's leaky away record (21 conceded). H2H shows tight, low-scoring games; Tokyo's defensive solidity should edge it.
09
GLM 5.3
FC Tokyo win
2–1
55%
FC Tokyo's elite defense (8 conceded, 9 clean sheets) and strong home form edge out Kashima's leaky backline, though Léo Ceará's scoring keeps it tight despite Kashima's H2H edge.
10
MiMo V2.6 Pro
FC Tokyo win
1–0
42%
FC Tokyo's 9 clean sheets and 8-3-1 form at Ajinomoto outweigh H2H losses, but Léo Ceará's 12 goals keep it tight; a narrow home win fits both defenses' patterns.
— Scoreline frequency

How often each scoreline showed up.

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

  • 1–0
    7 models
  • 2–0
    2 models
  • 2–1
    1 model
Team news

Predicted lineups: FC Tokyo vs Kashima

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

FC Tokyo

4-4-2 · XI v Fagiano Okayama, 31 Oct
R. Matsuhashi
39 T. Nakagawa
39 Nakagawa
26 M. Nagakura
26 Nagakura
7 S. Anzai
7 Anzai
8 T. Ko
8 Ko
20 S. Nagano
20 Nagano
10 K. Sato
10 Sato
6 K. Bangnagande
6 Bangnagande
4 H. Inamura
4 Inamura
24 A. Scholz
24 Scholz
22 H. Ishihara
22 Ishihara
81 Kim Seung-Gyu
81 Seung-Gyu

Kashima

4-4-2 · XI v Cerezo Osaka, 31 Oct
T. Oniki
9 Léo Ceará
9 Ceará
40 Y. Suzuki
40 Suzuki
17 Élber
17 Élber
8 Matheus Bueno
8 Bueno
14 Y. Higuchi
14 Higuchi
27 Y. Matsumura
27 Matsumura
7 R. Ogawa
7 Ogawa
5 I. Sekigawa
5 Sekigawa
55 N. Ueda
55 Ueda
23 K. Tsukui
23 Tsukui
1 T. Hayakawa
1 Hayakawa

Season data

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

FC Tokyo

4-4-2
W-D-L
8-3-1
Goals
27-8
Clean sheets
9
Failed to score
1
Best win run
5
Penalties
1/1
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Kashima

4-4-2
W-D-L
6-2-4
Goals
25-21
Clean sheets
3
Failed to score
1
Best win run
4
Penalties
2/2
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · FC Tokyo

  • M. Nagakura 7 G · 4 A · 12 apps
  • Marcelo Ryan 5 G · 2 A · 12 apps
  • S. Anzai 5 G · 0 A · 11 apps

Key players · Kashima

  • Léo Ceará 12 G · 0 A · 10 apps
  • A. Čavrić 6 G · 1 A · 12 apps
  • Y. Suzuki 1 G · 3 A · 12 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 Ajinomoto Stadium, Tokyo
New at FC Tokyo Dani Gómez (Zaragoza), Everton Galdino (Mirassol), N. Vallys (Brondby)
New at Kashima Rui Onuki (Kashima), R. Hirose (Vissel Kobe), Yan Matheus (Qatar SC)
— Aggregated insights

What’s moving the panel.

01
Consensus favors FC Tokyo

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

02
Medium confidence

Mean 51% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.30 vs 0.10

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.

FC Tokyo
#2 · 27 PTS · GD +19
Last 5
W W D W L
14 GF · 1 GA
Recent fixtures
  • Fagiano Okayama 0-4 W
  • Mito Hollyhock 6-0 W
  • Kashiwa Reysol 0-0 D
  • Tokyo Verdy 0-4 W
  • Mito Hollyhock 1-0 L
Team news

No major injury updates in the current API snapshot.

Kashima
#8 · 20 PTS · GD +4
Last 5
W W L D W
13 GF · 6 GA
Recent fixtures
  • Cerezo Osaka 4-1 W
  • Pohang Steelers 3-0 W
  • Kashiwa Reysol 2-3 L
  • Kyoto Sanga 2-2 D
  • V-varen Nagasaki 2-0 W
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 FC Tokyo, 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.

FC Tokyo
~100%
implied lean
Draw
~0%
implied lean
Kashima
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 1.40 goals in expectation. A notional totals line near 1.7 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 FC Tokyo 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 1.40 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: FC Tokyo 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 FC Tokyo vs Kashima 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 FC Tokyo win, with vote shares roughly 100% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win FC Tokyo vs Kashima, 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.