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 Nov 1, 2026 · 05:00 · UTC Fukuda Denshi Arena, Chiba Not Started

JEF United Chiba
vs
Avispa Fukuoka.

Quick answer

Who will win JEF United Chiba vs Avispa Fukuoka?

2 of 10 AI models pick JEF United Chiba to win (20%). A draw is in play: 8 of 10 models picked it. The mean predicted score is 1–1 at 42% average confidence (low).

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

Head-to-head history → JEF United Chiba form Avispa Fukuoka form

10 AI models read this match. The plurality on 1X2 leans toward the draw (8 of 10 models). The mean predicted score (rounded from all models) is 1–1 at 42% mean confidence (Low 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 JEF United Chiba and Avispa Fukuoka stand right now
— Consensus

Where the panel lands.

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

JEF United Chiba win 20%

2 / 10 models

Draw 80%

8 / 10 models

Avispa Fukuoka 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
Draw
1–1
32%
Both teams have poor records and similar scoring output, while JEF’s home advantage offsets Avispa’s recent head-to-head edge. Their defensive weaknesses suggest chances for both, but neither attack consistently separates games.
02
Claude Sonnet 5.5
JEF United Chiba win
2–1
37%
Both sides struggling badly this season with poor defenses; Fukuoka's five-game losing run offsets Chiba's weak home form, pointing to a tight, low-scoring draw.
03
Gemini 3.8 Flash
Draw
1–1
46%
Both teams are struggling near the bottom with poor attacking output and leaky defenses. Their evenly matched struggles point to a tight, low-scoring draw.
04
Grok 4.7
Draw
1–1
38%
Both sides are winless in form (JEF LDDLD, Avispa LWLLL) with poor attack and frequent blanks. Home draws more than it wins; recent H2H also mixed and low-scoring.
05
DeepSeek V4 Pro
Draw
1–1
48%
Both sides are struggling with similar poor form and low scoring; JEF's home edge is offset by Avispa's recent H2H edge. A low-scoring draw fits the fixture.
06
Qwen 3.8 Max
Draw
1–1
42%
Both sides are poor this season; JEF's high draw rate (4D in 12) and low scoring from both attacks point to a tight, low-scoring stalemate at Fukuda Denshi Arena.
07
Meta Muse Spark 1.3
Draw
1–1
42%
Both struggle to score with four blanks each; JEF draw-heavy LDDLD meets Avispa poor run, recent H2H was 2-2 and 1-2.
08
Kimi K3
JEF United Chiba win
1–0
52%
Both sides struggle for wins, but Chiba's home edge and Fukuoka's 9 losses with one clean sheet tip a tight, low-scoring game to the hosts.
09
GLM 5.3
Draw
1–1
48%
Two struggling attacks: Chiba have 4 draws in 12, Fukuoka 1 win in 12; both score rarely and concede often. Recent H2H meetings were tight, so a low-scoring draw fits best.
10
MiMo V2.6 Pro
Draw
1–1
38%
Both sides sit in the relegation zone with poor form and blunt attacks; JEF's home edge is offset by Avispa's 2-2 and 1-2 recent results here, pointing to a low-scoring draw.
— Scoreline frequency

How often each scoreline showed up.

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

  • 1–1
    8 models
  • 2–1
    1 model
  • 1–0
    1 model

Bookmakers vs the AI panel

Bet365 · 3.10 / 3.25 / 2.30
JEF United Chiba Market 30% · AI 18%
Draw Market 29% · AI 82%
Avispa Fukuoka Market 41% · AI 0%

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

Team news

Predicted lineups: JEF United Chiba vs Avispa Fukuoka

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

JEF United Chiba

4-4-2 · XI v Cerezo Osaka, 25 Oct
Y. Kobayashi
99 Erison
99 Erison
9 H. Goya
9 Goya
37 M. Himeno
37 Himeno
41 T. Yasui
41 Yasui
6 Dudu
6 Dudu
8 T. Tsukui
8 Tsukui
67 M. Hidaka
67 Hidaka
2 B. Nduka
2 Nduka
24 K. Toriumi
24 Toriumi
15 T. Mae
15 Mae
19 J. Suarez
19 Suarez

Avispa Fukuoka

3-4-2-1 · XI v Tokyo Verdy, 24 Oct
S. Tsukahara
13 S. Morooka
13 Morooka
25 Y. Kitajima
25 Kitajima
6 M. Shigemi
6 Shigemi
29 Y. Maejima
29 Maejima
11 T. Miki
11 Miki
34 K. Shiihashi
34 Shiihashi
47 Y. Hashimoto
47 Hashimoto
38 D. Miya
38 Miya
37 M. Tashiro
37 Tashiro
16 T. Oka
16 Oka
24 Y. Obata
24 Obata

Season data

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

JEF United Chiba

4-4-2
W-D-L
1-4-7
Goals
12-24
Clean sheets
2
Failed to score
4
Best win run
1
Penalties
0/0
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Avispa Fukuoka

3-4-2-1
W-D-L
2-1-9
Goals
13-21
Clean sheets
1
Failed to score
4
Best win run
1
Penalties
0/0
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

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 Fukuda Denshi Arena, Chiba
New at JEF United Chiba B. Nduka (Vissel Kobe), H. Kida (Cerezo Osaka), T. Iida (Mito Hollyhock)
New at Avispa Fukuoka Oriol Romeu (Southampton), K. Mikuni (Nagoya Grampus), S. Morooka (Kashima)
— Aggregated insights

What’s moving the panel.

01
Models lean the draw

80% of models take a stalemate — cross-check score frequency and 1X2 strip before sizing.

02
Low confidence

Mean 42% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.10 vs 0.90

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.

JEF United Chiba
#20 · 7 PTS · GD -12
Last 5
D L D D L
7 GF · 10 GA
Recent fixtures
  • Cerezo Osaka 2-2 D
  • Urawa 3-2 L
  • Yokohama F. Marinos 0-0 D
  • V-varen Nagasaki 1-1 D
  • Jubilo Iwata 4-2 L
Team news

No major injury updates in the current API snapshot.

Avispa Fukuoka
#19 · 7 PTS · GD -8
Last 5
L L L L W
5 GF · 11 GA
Recent fixtures
  • Tokyo Verdy 3-1 L
  • Gamba Osaka 1-2 L
  • Machida Zelvia 3-0 L
  • Sagan Tosu 2-1 L
  • Fagiano Okayama 2-1 W
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

JEF 1 · D 2 · AVI 2

JEF VS AVI
1-2
AWAY WIN
Jun 6, 2026
AVI VS JEF
2-2
DRAW
May 30, 2026
AVI VS JEF
1-0
HOME WIN
Oct 25, 2020
JEF VS AVI
2-2
DRAW
Sep 2, 2020
JEF VS AVI
3-0
HOME WIN
Jul 20, 2019

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 20% of models side with JEF United Chiba, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 80% — 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.

JEF United Chiba
~20%
implied lean
Draw
~80%
implied lean
Avispa Fukuoka
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.00 goals in expectation. A notional totals line near 2.3 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 JEF United Chiba 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 2.00 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: JEF United Chiba win. Pair that with the confidence band (Low) — 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 JEF United Chiba vs Avispa Fukuoka 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 - 1; 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 JEF United Chiba win, with vote shares roughly 20% / 80% / 0% home, draw, and away (rounded).

If you are asking who will win JEF United Chiba vs Avispa Fukuoka, 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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