AL- 1-0 AL- · 44% KAI 1-2 PAN · 54% AL- 1-1 ALS · 45% JUV 1-0 REN · 56% ARA 0-2 AZA · 57% DIN 1-0 NEC · 54% FER 2-0 TOR · 59% LEC 1-1 SUN · 46% OFI 0-2 BAY · 61% UNI 1-0 HAP · 54% STU 1-2 MAR · 48% FKC 1-2 FCC · 56% GET 1-2 FCL · 50% FCI 0-1 MJA · 53% AL- 1-0 AL- · 44% KAI 1-2 PAN · 54% AL- 1-1 ALS · 45% JUV 1-0 REN · 56% ARA 0-2 AZA · 57% DIN 1-0 NEC · 54% FER 2-0 TOR · 59% LEC 1-1 SUN · 46% OFI 0-2 BAY · 61% UNI 1-0 HAP · 54% STU 1-2 MAR · 48% FKC 1-2 FCC · 56% GET 1-2 FCL · 50% FCI 0-1 MJA · 53%
J1 League · Regular Season - 11 Oct 21, 2026 · 10:00 · UTC Best Denki Stadium, Fukuoka Match Finished · 90'

Avispa Fukuoka
vs
Gamba Osaka.

Quick answer

Who will win Avispa Fukuoka vs Gamba Osaka?

Final score: Avispa Fukuoka 1–2 Gamba Osaka. Before kickoff, 6 of 10 AI models pick Avispa Fukuoka to win (60%); the consensus was wrong. The AI predicted score was 1–0.

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

Head-to-head history → Avispa Fukuoka form Gamba Osaka form

10 AI models read this match. The plurality on 1X2 leans toward Avispa Fukuoka (6 of 10 models). The mean predicted score (rounded from all models) is 1–0 at 47% 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 Avispa Fukuoka and Gamba Osaka stand right now
— Consensus

Where the panel lands.

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

Avispa Fukuoka win 60%

6 / 10 models

Draw 40%

4 / 10 models

Gamba Osaka 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-5.6 Luna
Avispa Fukuoka win
1–0
52%
Avispa’s home advantage and recent head-to-head edge support a narrow win, while both teams’ poor scoring records and Gamba’s five failures to score point toward a low-scoring match.
02
Claude Sonnet 5
Avispa Fukuoka win
1–0
41%
Both teams struggling badly, but Fukuoka has recent H2H edge and Gamba's five-game losing streak with poor away scoring points to a tight, low-scoring home win.
03
Gemini 3.8 Flash
Draw
1–1
48%
Both teams are struggling in the lower ranks with frequent scoring droughts. Gamba Osaka's winless skid and Fukuoka's low clean sheet count point toward a tight, low-scoring stalemate.
04
Grok 4.6
Avispa Fukuoka win
1–0
38%
Both leaky and often blank (Avispa 4, Gamba 5); Fukuoka home plus recent 1-0 H2H edges a low 1-0 over a draw.
05
DeepSeek V4 Pro
Avispa Fukuoka win
1–0
48%
Both teams are in poor form, but Fukuoka won the last H2H at home and Gamba has failed to score in five of ten matches. A tight, low-scoring home win fits.
06
Qwen 3.8 Max
Draw
1–1
32%
Both sides in poor form with low goal output; Gamba's late-goal tendency and frequent draws suggest a low-scoring stalemate despite Avispa's recent H2H edge.
07
Mistral Medium 3.5
Draw
1–1
60%
Both teams struggling to score, recent H2H includes draws, and form suggests low-scoring stalemate.
08
Kimi K3
Avispa Fukuoka win
1–0
48%
Both sides in poor form, but Avispa have won three of the last five H2Hs including two at Best Denki, and Gamba have lost four straight while failing to score five times this season.
09
GLM 5.3
Avispa Fukuoka win
1–0
48%
Fukuoka unbeaten in the last three H2H meetings and Gamba have failed to score in 5 of 10 league games; both sides are poor, so a narrow low-scoring home win at Best Denki Stadium fits best.
10
MiMo V2.6 Pro
Draw
1–1
52%
Both teams are in poor form with low goals and clean sheets; recent H2H shows draws. A low-scoring stalemate is the most likely outcome.
— Scoreline frequency

How often each scoreline showed up.

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

  • 1–0
    6 models
  • 1–1
    4 models

Live match centre

Full-time
Avispa Fukuoka
Yu Hashimoto 75'
1–2
Gamba Osaka
Welton 50'
Takashi Usami 77'
Pro

Momentum, live stats, xG, player ratings and every event, minute by minute.

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Bookmakers vs the AI panel

Bet365 · 2.60 / 3.25 / 2.70
Avispa Fukuoka Market 36% · AI 60%
Draw Market 29% · AI 40%
Gamba Osaka Market 35% · AI 0%

Grey: bookmaker prices as probabilities, margin removed. Lime: share of the 10 AI models picking each result.

Team news

Confirmed lineups: Avispa Fukuoka vs Gamba Osaka

Avispa Fukuoka

3-4-2-1
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
55 K. Maeda
55 Maeda
2 M. Yuzawa
2 Yuzawa
15 Y. Tsujioka
15 Tsujioka
5 T. Kamijima
5 Kamijima
16 T. Oka
16 Oka
24 Y. Obata
24 Obata

Bench: Y. Hashimoto, D. Miya, T. Nagaishi, S. Nago, K. Shiihashi, Shohei Takemoto, M. Tashiro, Werik Popó, K. Yamawaki

Gamba Osaka

4-2-3-1
Tomokazu Myojin
41 Y. Toshida
41 Toshida
97 Welton Felipe
97 Felipe
7 T. Usami
7 Usami
17 R. Yamashita
17 Yamashita
27 R. Mito
27 Mito
13 S. Abe
13 Abe
21 R. Hatsuse
21 Hatsuse
2 S. Fukuoka
2 Fukuoka
4 S. Nakatani
4 Nakatani
28 S. Fujiwara
28 Fujiwara
22 J. Ichimori
22 Ichimori

Bench: T. Suzuki, S. Sasaki, T. Ogashiwa, S. Nakano, R. Meshino, T. Kishimoto, I. Jebali, M. Higashiguchi, E. Adams

Season data

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

Avispa Fukuoka

3-4-2-1
W-D-L
2-1-8
Goals
12-18
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'

Gamba Osaka

4-2-3-1
W-D-L
2-4-5
Goals
12-19
Clean sheets
1
Failed to score
5
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'

Key players · Avispa Fukuoka

  • S. Morooka 3 G · 1 A · 10 apps

Key players · Gamba Osaka

  • No player in the competition's top scorers or assisters.

Top scorers · J1 League

  1. 1 Léo Ceará Kashima 12
  2. 2 M. Nagakura FC Tokyo 7
  3. 3 Y. Segawa Kashiwa Reysol 7
  4. 4 A. Suzuki Sanfrecce Hiroshima 7
  5. 5 Marcinho Kawasaki Frontale 6
Venue Best Denki Stadium, Fukuoka
Referee Masuya Ueda
New at Avispa Fukuoka Oriol Romeu (Southampton), K. Mikuni (Nagoya Grampus), S. Morooka (Kashima)
New at Gamba Osaka S. Fujiwara (Albirex Niigata), T. Ogashiwa (FC Tokyo), K. Sumi (Jubilo Iwata)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Avispa Fukuoka

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

02
Medium confidence

Mean 47% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.00 vs 0.40

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.

Result check

Actual Gamba Osaka win · AI Avispa Fukuoka win

1X2: Miss Score: Off
— Match context

Form, history, team news.

Avispa Fukuoka
#17 · 7 PTS · GD -5
Last 5
L L L W W
6 GF · 9 GA
Recent fixtures
  • Gamba Osaka 1-2 L
  • Machida Zelvia 3-0 L
  • Sagan Tosu 2-1 L
  • Fagiano Okayama 2-1 W
  • Osaka 1-2 W
Team news

No major injury updates in the current API snapshot.

Gamba Osaka
#18 · 7 PTS · GD -8
Last 5
W D W L L
11 GF · 11 GA
Recent fixtures
  • Avispa Fukuoka 1-2 W
  • Shimizu S-pulse 2-2 D
  • Newcastle Jets 1-3 W
  • Kashima 2-0 L
  • Kashiwa Reysol 5-4 L
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

AVI 2 · D 2 · GAM 1

GAM VS AVI
1-2
AWAY WIN
Apr 22, 2026
AVI VS GAM
2-2
DRAW
Mar 21, 2026
AVI VS GAM
1-0
HOME WIN
Nov 30, 2025
GAM VS AVI
2-1
HOME WIN
Feb 22, 2025
GAM VS AVI
2-2
DRAW
Aug 24, 2024

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 60% of models side with Avispa Fukuoka, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 40% — 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.

Avispa Fukuoka
~60%
implied lean
Draw
~40%
implied lean
Gamba Osaka
~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 Avispa Fukuoka 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: Avispa Fukuoka 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 Avispa Fukuoka vs Gamba Osaka 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 Avispa Fukuoka win, with vote shares roughly 60% / 40% / 0% home, draw, and away (rounded).

If you are asking who will win Avispa Fukuoka vs Gamba Osaka, 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.