Predictions / Football / Japan. J1 League / Avispa Fukuoka vs Cerezo Osaka

Prediction Audit: Avispa Fukuoka vs Cerezo Osaka Prediction, Odds & AI Betting Tips

Avispa Fukuoka Avispa Fukuoka
Aug 15, 2026 - 10:00
3 1.58
0 1.41
xG Accuracy: 46%
Cerezo Osaka Cerezo Osaka

AI correctly predicted the Avispa Fukuoka win.

The match finished 3–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Avispa Fukuoka Avispa Fukuoka ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-0, 1-2, 0-1 3-0 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Avispa Fukuoka +4.7 pp

Outcome Model Closing Market Difference Signal
Avispa Fukuoka 40.2% 35.4% +4.7 pp Aligned
Draw 27.2% 29.6% -2.4 pp Aligned
Cerezo Osaka 32.7% 35.0% -2.4 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the model's directional lean matched the result (Avispa Fukuoka win 3–0).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.99) — 3 goals materialised
  • Over 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Exact score: outside the model's top score bins

Market lesson

The model's directional lean matched the full-time result (Avispa Fukuoka win 3–0).

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Aug 15, 2026 · 10:00 UTC Forecast generated
    • Model 1X2 · Avispa Fukuoka 40.1% · Draw 27.2% · Cerezo Osaka 32.7%
    • xG · Avispa Fukuoka 1.58 — Cerezo Osaka 1.41
  2. Aug 15, 2026 · 09:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Avispa Fukuoka 2.72 · Draw 3.26 · Cerezo Osaka 2.75
    • Implied 1X2 · Avispa Fukuoka 35.4% · Draw 29.6% · Cerezo Osaka 35.0%
    • Bookmaker · Pinnacle
  3. Aug 15, 2026 · 10:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Avispa Fukuoka 2.72 · Draw 3.26 · Cerezo Osaka 2.75
    • Implied 1X2 · Avispa Fukuoka 35.4% · Draw 29.6% · Cerezo Osaka 35.0%
    • Bookmaker · Pinnacle
  4. Aug 15, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Avispa Fukuoka win · 3–0
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 76/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 09, 2026 · 01:15 UTC Snapshot ID: dp-3339432

Closing Odds 2.72
AI Fair Odds —
CLV Pending
Final Result Avispa Fukuoka win · Avispa Fukuoka 3–0 Cerezo Osaka
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: J1 League
  • Fixture: Avispa Fukuoka vs Cerezo Osaka
  • Kickoff: 2026-08-15 10:00:00
  • 1X2 (model): Home 40.2% · Draw 27.2% · Away 32.7%
  • xG (showing): Avispa Fukuoka 1.58 — Cerezo Osaka 1.41 (total xG ≈ 2.99)
  • Value headline: None (actionable) — best tracked EV is about +1.7%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 42.5% · Over 2.5 57.5%); BTTS Yes (Yes 61.5% · No 38.5%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 61.5% · No 38.5%
  • Correct score (top bin): 1-1 (11.2%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 30, 2026 (UTC)

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J1 League J1 League — Standings
# TEAM MP W D L PTS
1 Vissel Kobe 8 6 1 1 19
2 Kashiwa Reysol 8 6 0 2 18
3 Sanfrecce Hiroshima 8 5 2 1 17
4 Machida Zelvia 8 5 2 1 17
5 FC Tokyo 8 5 2 1 17
6 Yokohama F. Marinos 8 4 2 2 14
7 Kawasaki Frontale 8 3 4 1 13
8 Kashima 8 4 1 3 13
9 Fagiano Okayama 8 4 1 3 13
10 Urawa 8 4 0 4 12
11 Cerezo Osaka 8 3 2 3 11
12 Shimizu S-pulse 8 3 1 4 10
13 Mito Hollyhock 8 2 3 3 9
14 Kyoto Sanga 8 2 2 4 8
15 V-varen Nagasaki 8 2 2 4 8
16 Gamba Osaka 8 1 3 4 6
17 Nagoya Grampus 8 2 0 6 6
18 Avispa Fukuoka 8 1 1 6 4
19 Tokyo Verdy 8 0 4 4 4
20 JEF United Chiba 8 1 1 6 4
# TEAM MP GS GC +/- PTS
1 Machida Zelvia 8 21 10 +11 17
2 Sanfrecce Hiroshima 8 20 6 +14 17
3 Kashiwa Reysol 8 17 12 +5 18
4 Kashima 8 17 16 +1 13
5 Kawasaki Frontale 8 16 12 +4 13
6 Urawa 8 16 18 -2 12
7 FC Tokyo 8 14 8 +6 17
8 Yokohama F. Marinos 8 13 9 +4 14
9 Vissel Kobe 8 12 5 +7 19
10 Fagiano Okayama 8 11 10 +1 13
11 Mito Hollyhock 8 11 11 0 9
12 Kyoto Sanga 8 11 15 -4 8
13 V-varen Nagasaki 8 10 15 -5 8
14 Avispa Fukuoka 8 9 12 -3 4
15 Gamba Osaka 8 8 14 -6 6
16 Cerezo Osaka 8 7 12 -5 11
17 Nagoya Grampus 8 7 14 -7 6
18 JEF United Chiba 8 7 18 -11 4
19 Shimizu S-pulse 8 6 8 -2 10
20 Tokyo Verdy 8 4 12 -8 4
# TEAM MP xG xGC +/- PTS
1 V-varen Nagasaki 8 3.7 1.7 +2.0 8
2 Sanfrecce Hiroshima 8 2.2 0.6 +1.6 17
3 Yokohama F. Marinos 8 3.0 1.5 +1.5 14
4 Vissel Kobe 8 2.3 0.9 +1.4 19
5 FC Tokyo 8 3.0 1.7 +1.3 17
6 Cerezo Osaka 8 1.8 1.1 +0.7 11
7 Urawa 8 1.9 1.4 +0.5 12
8 Fagiano Okayama 8 1.3 0.8 +0.5 13
9 Mito Hollyhock 8 1.6 1.3 +0.3 9
10 Kashima 8 1.3 1.6 -0.3 13
11 Avispa Fukuoka 8 1.4 1.9 -0.5 4
12 JEF United Chiba 8 0.8 1.3 -0.5 4
13 Kashiwa Reysol 8 1.1 1.8 -0.7 18
14 Shimizu S-pulse 8 1.7 3.0 -1.3 10
15 Tokyo Verdy 8 0.9 2.3 -1.4 4
16 Kyoto Sanga 8 1.5 3.0 -1.5 8
17 Nagoya Grampus 8 0.6 2.2 -1.6 6
18 Gamba Osaka 8 1.7 3.7 -2.0 6
19 Machida Zelvia 8 — — — 17
20 Kawasaki Frontale 8 — — — 13