The model missed the final outcome (Draw 0–0).
The model had projected Qingdao Youth Island at 57.5%, 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 Over 2.5 Under 2.5 (0 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Qingdao Youth Island Draw ✖ Incorrect
- Correct Score Insights 1-0, 1-1, 2-0, 2-1, 3-0 0-0 ✖ Incorrect
Post Match Insights
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (0 goals)
Market lesson
The full-time result was Draw 0–0, which did not match the model's pre-match lean on 1X2.
Prediction Timeline
How this prediction moved from forecast to full-time review.
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Before kickoff Forecast generated
- xG · Qingdao Youth Island 1.91 — Sichuan Jiuniu 0.99
-
May 06, 2025 · 11:35 UTC Kickoff
-
FT Full-time result Draw · 0–0
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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: Pending
- Moderate model lean
- Market has already priced much of the edge
- Validation pending
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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Super League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | SHANGHAI SIPG | 30 | 20 | 6 | 4 | 66 |
| 2 | Shanghai Shenhua | 30 | 19 | 7 | 4 | 64 |
| 3 | Chengdu Better City | 30 | 17 | 9 | 4 | 60 |
| 4 | Beijing Guoan | 30 | 17 | 6 | 7 | 57 |
| 5 | Shandong Luneng | 30 | 15 | 8 | 7 | 53 |
| 6 | Tianjin Teda | 30 | 12 | 8 | 10 | 44 |
| 7 | Hangzhou Greentown | 30 | 10 | 12 | 8 | 42 |
| 8 | Yunnan Yukun | 30 | 11 | 9 | 10 | 42 |
| 9 | Qingdao Youth Island | 30 | 10 | 10 | 10 | 40 |
| 10 | Henan Jianye | 30 | 10 | 7 | 13 | 37 |
| 11 | Dalian Zhixing | 30 | 9 | 9 | 12 | 36 |
| 12 | Sichuan Jiuniu | 30 | 8 | 3 | 19 | 27 |
| 13 | Wuhan Three Towns | 30 | 6 | 7 | 17 | 25 |
| 14 | Qingdao Jonoon | 30 | 5 | 10 | 15 | 25 |
| 15 | Meizhou Kejia | 30 | 5 | 6 | 19 | 21 |
| 16 | Changchun Yatai | 30 | 4 | 7 | 19 | 19 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | SHANGHAI SIPG | 30 | 72 | 44 | +28 | 66 |
| 2 | Beijing Guoan | 30 | 69 | 46 | +23 | 57 |
| 3 | Shandong Luneng | 30 | 69 | 46 | +23 | 53 |
| 4 | Shanghai Shenhua | 30 | 67 | 35 | +32 | 64 |
| 5 | Chengdu Better City | 30 | 60 | 28 | +32 | 60 |
| 6 | Hangzhou Greentown | 30 | 60 | 51 | +9 | 42 |
| 7 | Henan Jianye | 30 | 52 | 48 | +4 | 37 |
| 8 | Yunnan Yukun | 30 | 47 | 52 | -5 | 42 |
| 9 | Tianjin Teda | 30 | 40 | 41 | -1 | 44 |
| 10 | Qingdao Youth Island | 30 | 39 | 43 | -4 | 40 |
| 11 | Meizhou Kejia | 30 | 36 | 71 | -35 | 21 |
| 12 | Qingdao Jonoon | 30 | 35 | 48 | -13 | 25 |
| 13 | Sichuan Jiuniu | 30 | 35 | 59 | -24 | 27 |
| 14 | Wuhan Three Towns | 30 | 34 | 62 | -28 | 25 |
| 15 | Dalian Zhixing | 30 | 30 | 45 | -15 | 36 |
| 16 | Changchun Yatai | 30 | 26 | 52 | -26 | 19 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Chengdu Better City | 30 | 66.3 | 29.2 | +37.1 | 60 |
| 2 | Shanghai Shenhua | 30 | 61.8 | 30.1 | +31.7 | 64 |
| 3 | Shandong Luneng | 30 | 59.2 | 41.4 | +17.8 | 53 |
| 4 | Henan Jianye | 30 | 56.7 | 39.3 | +17.4 | 37 |
| 5 | SHANGHAI SIPG | 30 | 58.3 | 46.3 | +12.0 | 66 |
| 6 | Beijing Guoan | 30 | 53.8 | 41.9 | +11.9 | 57 |
| 7 | Dalian Zhixing | 30 | 38.4 | 39.4 | -1.0 | 36 |
| 8 | Hangzhou Greentown | 30 | 42.2 | 44.4 | -2.2 | 42 |
| 9 | Qingdao Youth Island | 30 | 40.1 | 44.3 | -4.2 | 40 |
| 10 | Tianjin Teda | 30 | 39.4 | 45.4 | -6.0 | 44 |
| 11 | Yunnan Yukun | 30 | 42.4 | 50.2 | -7.8 | 42 |
| 12 | Qingdao Jonoon | 30 | 39.9 | 53.4 | -13.5 | 25 |
| 13 | Wuhan Three Towns | 30 | 35.6 | 52.1 | -16.5 | 25 |
| 14 | Meizhou Kejia | 30 | 35.5 | 59.3 | -23.8 | 21 |
| 15 | Changchun Yatai | 30 | 28.6 | 54.0 | -25.4 | 19 |
| 16 | Sichuan Jiuniu | 30 | 28.4 | 55.8 | -27.4 | 27 |