The model missed the final outcome (Urawa win 2–3).
The model had projected Avispa Fukuoka at 54.3%, but the full-time result went the other way.
Tracked markets vs full-time result
Each row compares the pre-match model lean to the full-time result.
- Market Prediction Result Outcome
- Over / Under 2.5 Under 2.5 Over 2.5 (5 goals) ✖ Incorrect
- Both Teams To Score BTTS No Yes ✖ Incorrect
- 1X2 Avispa Fukuoka Urawa ✖ Incorrect
- Correct Score Insights 1-0, 1-1, 2-0, 2-1, 0-0 2-3 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Avispa Fukuoka | 54.3% | 39.8% | +14.5 pp | Model Edge |
| Draw | 27.4% | 28.9% | -1.5 pp | Aligned |
| Urawa | 18.3% | 31.3% | -13.0 pp | Market Higher |
The statistical model estimates Avispa Fukuoka's win probability at 54.3%, compared with the closing market's implied probability of 39.8%, a difference of 14.5 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than indicating which view is ultimately correct.
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 result was Urawa win 2–3.
Market Assessment
The statistical fair estimate is materially higher than the market on Avispa Fukuoka.
- The model may see a slower-scoring or closer matchup than the market.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.54) — 5 goals materialised
What failed
- Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)
Market lesson
The closing market differed from the model on Avispa Fukuoka by 14.5 percentage points (39.8% vs model 54.3%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 02, 2026 · 09:59 UTC Forecast generated
- Model 1X2 · Avispa Fukuoka 54.3% · Draw 27.3% · Urawa 18.4%
- xG · Avispa Fukuoka 1.66 — Urawa 0.88
-
Sep 02, 2026 · 09:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Avispa Fukuoka 2.43 · Draw 3.35 · Urawa 3.09
- Implied 1X2 · Avispa Fukuoka 39.8% · Draw 28.9% · Urawa 31.3%
- Bookmaker · Pinnacle
-
Sep 02, 2026 · 09:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Avispa Fukuoka 2.43 · Draw 3.35 · Urawa 3.09
- Implied 1X2 · Avispa Fukuoka 39.8% · Draw 28.9% · Urawa 31.3%
- Bookmaker · Pinnacle
-
Sep 02, 2026 · 10:00 UTC Kickoff
-
FT Full-time result Urawa win · 2–3
-
FT Prediction missed 1X2 lean did not match full-time result
-
Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Warning
- Large market gap (14 pp)
- Statistical edge detected
- Market has already priced much of the edge
- Validation warning
Validation Report
Immutable SnapshotModel 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.
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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 |