ALD 0-1 NEO · 48% KON 1-2 GAL · 53% LEH 0-2 PAR · 63% NIC 1-2 REN · 48% BOD 1-2 VIK · 44% LYN 1-1 RAN · 40% ALS 1-2 AL- · 55% SVE 1-2 FSV · 45% ZUL 0-2 CLU · 61% VIL 2-1 ESP · 55% SHE 2-1 WRE · 47% LIL 2-1 LEN · 49% CAS 0-2 SPO · 66% EST 0-1 GIM · 59% ALD 0-1 NEO · 48% KON 1-2 GAL · 53% LEH 0-2 PAR · 63% NIC 1-2 REN · 48% BOD 1-2 VIK · 44% LYN 1-1 RAN · 40% ALS 1-2 AL- · 55% SVE 1-2 FSV · 45% ZUL 0-2 CLU · 61% VIL 2-1 ESP · 55% SHE 2-1 WRE · 47% LIL 2-1 LEN · 49% CAS 0-2 SPO · 66% EST 0-1 GIM · 59%
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← Fixtures J1 League hub →
J1 League · Regular Season - 13 Oct 31, 2026 · 05:00 · UTC JFE Harenokuni Stadium, Okayama Not Started

Fagiano Okayama
vs
FC Tokyo.

Quick answer

Who will win Fagiano Okayama vs FC Tokyo?

10 of 10 AI models pick FC Tokyo to win (100%). The mean predicted score is 0–2 at 58% average confidence (medium).

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

Head-to-head history → Fagiano Okayama form FC Tokyo form

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (753 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 0–2 at 58% 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 Fagiano Okayama and FC Tokyo stand right now
— Consensus

Where the panel lands.

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

Fagiano Okayama win 0%

0 / 10 models

Draw 0%

0 / 10 models

FC Tokyo win 100%

10 / 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
0–2
72%
FC Tokyo’s 8-3-1 record, 27-8 goal difference and nine clean sheets indicate a clear defensive and attacking edge over Okayama’s 5-1-6 record. Their strong recent form supports a controlled away win despite the venue.
02
Claude Sonnet 5.5
FC Tokyo win
1–2
58%
FC Tokyo's strong form (8W3D1L, 9 clean sheets) and potent attack contrast with Okayama's recent slump (LLLWL, leaky defense) and prior H2H away win.
03
Gemini 3.8 Flash
FC Tokyo win
0–2
62%
FC Tokyo are in superb form with nine clean sheets and a potent attack led by Nagakura, while Okayama have struggled with four defeats in five.
04
Grok 4.7
FC Tokyo win
1–2
48%
Tokyo's 8-3-1, 27-8 and nine clean sheets dwarf Okayama's LLLWL form; attack of Nagakura/Ryan should edge a tight away win despite City Light home bump.
05
DeepSeek V4 Pro
FC Tokyo win
2–3
62%
FC Tokyo lead the league with 8W 3D 1L, 27-8 goals and 9 clean sheets; Fagiano Okayama are 13th with five losses in six. Tokyo's attack and defensive solidity should control this away match.
06
Qwen 3.8 Max
FC Tokyo win
0–2
40%
FC Tokyo's 9 clean sheets and 2.25 goals/game overwhelm Okayama's poor form (LLLWL) and leaky defense; away side's attacking depth should secure a comfortable win.
07
Meta Muse Spark 1.3
FC Tokyo win
0–2
61%
FC Tokyo 8W3D1L with 9 clean sheets and 27-8 goals vs Okayama LLLWL form. Away attack led by Nagakura should break limited home scoring.
08
Kimi K3
FC Tokyo win
0–2
58%
FC Tokyo's 27-8 attack and 9 clean sheets dominate Fagiano's LLLWL form; H2H 3-1 away win last October reinforces Tokyo's superiority despite Okayama's home venue.
09
GLM 5.3
FC Tokyo win
0–2
60%
FC Tokyo's 8W-3D-1L record, 9 clean sheets and WWWDW form outclass Okayama's LLLWL; Tokyo won the last H2H 3-1, so a solid away win with a shutout fits.
10
MiMo V2.6 Pro
FC Tokyo win
0–2
58%
FC Tokyo's 27-8 goals, nine clean sheets and WWWDW form far outweigh Okayama's LLLWL slide; the visitors' attack should control a home side managing just 15 goals.
— Scoreline frequency

How often each scoreline showed up.

7 of 10 models settled on 0–2. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 0–2
    7 models
  • 1–2
    2 models
  • 2–3
    1 model

Bookmakers vs the AI panel

Bet365 · 3.80 / 3.50 / 1.91
Fagiano Okayama Market 25% · AI 0%
Draw Market 26% · AI 0%
FC Tokyo Market 49% · AI 100%

Grey: bookmaker prices as probabilities, margin removed. Lime: share of the 11 AI models picking each result.

Team news

Predicted lineups: Fagiano Okayama vs FC Tokyo

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

Fagiano Okayama

3-4-2-1 · XI v Kawasaki Frontale, 25 Oct
T. Kiyama
99 Lucão
99 Lucão
8 A. Esaka
8 Esaka
20 K. Kawano
20 Kawano
51 K. Shirai
51 Shirai
80 Oberdan
80 Oberdan
41 E. Miyamoto
41 Miyamoto
28 M. Matsumoto
28 Matsumoto
43 Y. Suzuki
43 Suzuki
48 Y. Tatsuta
48 Tatsuta
26 H. Motoyama
26 Motoyama
1 L. Moser
1 Moser

FC Tokyo

4-4-2 · XI v Mito Hollyhock, 25 Oct
R. Matsuhashi
26 M. Nagakura
26 Nagakura
39 T. Nakagawa
39 Nakagawa
7 S. Anzai
7 Anzai
8 T. Ko
8 Ko
27 Kyota Tokiwa
27 Tokiwa
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

Season data

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

Fagiano Okayama

3-4-2-1
W-D-L
5-1-6
Goals
15-17
Clean sheets
3
Failed to score
2
Best win run
3
Penalties
0/0
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

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'

Key players · Fagiano Okayama

  • Lucão 1 G · 4 A · 11 apps

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

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 JFE Harenokuni Stadium, Okayama
New at Fagiano Okayama R. Sato (Jubilo Iwata), Kewin (Damac), Oberdan (Jeonbuk Motors)
New at FC Tokyo Dani Gómez (Zaragoza), Everton Galdino (Mirassol), N. Vallys (Brondby)
— Aggregated insights

What’s moving the panel.

01
Consensus favors FC Tokyo

100% of models lean away — 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
xG tilt 0.40 vs 2.10

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.

Ask with match data Ask without data (free)
— Match context

Form, history, team news.

Fagiano Okayama
#10 · 16 PTS · GD -2
Last 5
L W L D L
7 GF · 10 GA
Recent fixtures
  • Kawasaki Frontale 2-1 L
  • Mito Hollyhock 2-0 W
  • Vissel Kobe 0-3 L
  • Nagoya Grampus 3-3 D
  • Avispa Fukuoka 2-1 L
Team news

No major injury updates in the current API snapshot.

FC Tokyo
#2 · 27 PTS · GD +19
Last 5
W D W L W
13 GF · 1 GA
Recent fixtures
  • Mito Hollyhock 6-0 W
  • Kashiwa Reysol 0-0 D
  • Tokyo Verdy 0-4 W
  • Mito Hollyhock 1-0 L
  • Urawa 3-0 W
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

FAG 1 · D 0 · FCT 1

FCT VS FAG
3-1
HOME WIN
Oct 25, 2025
FAG VS FCT
1-0
HOME WIN
Apr 6, 2025

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 0% of models side with Fagiano Okayama, 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.

Fagiano Okayama
~0%
implied lean
Draw
~0%
implied lean
FC Tokyo
~100%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.50 goals in expectation. A notional totals line near 2.8 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 Fagiano Okayama 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 2.50 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 Fagiano Okayama vs FC Tokyo 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 (0 - 2; 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 0% / 0% / 100% home, draw, and away (rounded).

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

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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.

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