AI correctly predicted the Suzhou Dongwu win.
The match finished 3–2, validating the model's directional assessment.
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 Yes Yes ✔ Correct
- 1X2 Suzhou Dongwu Suzhou Dongwu ✔ Correct
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-2 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Suzhou Dongwu | 39.9% | 60.2% | -20.3 pp | Market Higher |
| Draw | 29.5% | 23.7% | +5.8 pp | Model Higher |
| Dongguan United | 30.6% | 16.0% | +14.6 pp | Model Edge |
The closing market estimates Suzhou Dongwu's win probability at 60.2%, compared with the model's estimate of 39.9%, a difference of 20.3 percentage points. This highlights a disagreement between the model and market consensus, without 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 model's directional lean matched the result (Suzhou Dongwu win 3–2).
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 5 goals materialised
- Both Teams To Score (Yes) matched the full-time result
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)
- Exact score: outside the model's top score bins
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Suzhou Dongwu higher (60.2% vs model 39.9%, 20.3 pp), but the model's lean was validated (Suzhou Dongwu win 3–2).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 12, 2026 · 11:00 UTC Forecast generated
- Model 1X2 · Suzhou Dongwu 40.0% · Draw 29.5% · Dongguan United 30.6%
- xG · Suzhou Dongwu 1.40 — Dongguan United 1.20
-
Sep 12, 2026 · 10:30 UTC Opening odds snapshot PRE30
- 1X2 odds · Suzhou Dongwu 1.54 · Draw 3.91 · Dongguan United 5.79
- Implied 1X2 · Suzhou Dongwu 60.2% · Draw 23.7% · Dongguan United 16.0%
- Bookmaker · Pinnacle
-
Sep 12, 2026 · 11:00 UTC Closing snapshot recorded PRE1
- 1X2 odds · Suzhou Dongwu 1.54 · Draw 3.91 · Dongguan United 5.79
- Implied 1X2 · Suzhou Dongwu 60.2% · Draw 23.7% · Dongguan United 16.0%
- Bookmaker · Pinnacle
-
Sep 12, 2026 · 11:00 UTC Kickoff
-
FT Full-time result Suzhou Dongwu win · 3–2
-
FT Prediction validated Directional lean matched full-time result
-
Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Historical label: Originally displayed as "Wait for validation".
Pre-match metrics (historical context)
- Validation: Warning
- Large market gap (20 pp)
- No strong statistical edge
- Pricing remains divergent
- 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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League One — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Guangzhou E-Power | 24 | 16 | 6 | 2 | 54 |
| 2 | Guangxi Hengchen | 24 | 13 | 6 | 5 | 45 |
| 3 | Shenzhen Juniors | 24 | 12 | 8 | 4 | 44 |
| 4 | Nantong Zhiyun | 23 | 10 | 9 | 4 | 39 |
| 5 | Yanbian Longding | 24 | 9 | 8 | 7 | 35 |
| 6 | Shaanxi Union | 23 | 9 | 6 | 8 | 33 |
| 7 | Hebei Kungfu | 24 | 8 | 7 | 9 | 31 |
| 8 | Wuxi Wugou | 23 | 8 | 5 | 10 | 29 |
| 9 | Changchun Yatai | 23 | 10 | 3 | 10 | 29 |
| 10 | Ningbo Professional | 23 | 9 | 5 | 9 | 29 |
| 11 | Dalian Huayi | 23 | 7 | 8 | 8 | 29 |
| 12 | Suzhou Dongwu | 24 | 7 | 8 | 9 | 26 |
| 13 | Heilongjiang Lava Spring | 24 | 4 | 11 | 9 | 23 |
| 14 | Nanjing City | 24 | 5 | 6 | 13 | 21 |
| 15 | Meizhou Kejia | 24 | 7 | 3 | 14 | 15 |
| 16 | Dongguan United | 24 | 2 | 7 | 15 | 13 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Guangzhou E-Power | 24 | 48 | 20 | +28 | 54 |
| 2 | Guangxi Hengchen | 24 | 40 | 26 | +14 | 45 |
| 3 | Shenzhen Juniors | 24 | 39 | 25 | +14 | 44 |
| 4 | Changchun Yatai | 23 | 37 | 38 | -1 | 29 |
| 5 | Shaanxi Union | 23 | 35 | 26 | +9 | 33 |
| 6 | Wuxi Wugou | 23 | 35 | 29 | +6 | 29 |
| 7 | Heilongjiang Lava Spring | 24 | 35 | 46 | -11 | 23 |
| 8 | Yanbian Longding | 24 | 33 | 27 | +6 | 35 |
| 9 | Nantong Zhiyun | 23 | 31 | 20 | +11 | 39 |
| 10 | Dalian Huayi | 23 | 30 | 33 | -3 | 29 |
| 11 | Suzhou Dongwu | 24 | 28 | 33 | -5 | 26 |
| 12 | Ningbo Professional | 23 | 27 | 29 | -2 | 29 |
| 13 | Meizhou Kejia | 24 | 25 | 50 | -25 | 15 |
| 14 | Dongguan United | 24 | 24 | 49 | -25 | 13 |
| 15 | Hebei Kungfu | 24 | 22 | 25 | -3 | 31 |
| 16 | Nanjing City | 24 | 20 | 33 | -13 | 21 |