AI correctly predicted the Beijing Guoan win.
The match finished 2–4, 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 Over 2.5 Over 2.5 (6 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Beijing Guoan Beijing Guoan ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 2-4 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Tianjin Teda | 28.4% | 33.8% | -5.3 pp | Market Higher |
| Draw | 28.1% | 26.4% | +1.8 pp | Aligned |
| Beijing Guoan | 43.4% | 39.9% | +3.5 pp | Aligned |
The closing market estimates Tianjin Teda's win probability at 33.8%, compared with the model's estimate of 28.4%, a difference of 5.3 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: PRE10.
After full time, the model's directional lean matched the result (Beijing Guoan win 2–4).
Market Assessment
The market and model broadly agree on Tianjin Teda. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.77) — 6 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Over 2.5 goals aligned with the xG profile
What failed
- 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 Beijing Guoan higher (48.7% vs model 43.4%, 5.3 pp), but the model's lean was validated (Beijing Guoan win 2–4).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Aug 15, 2026 · 19:15 UTC Forecast generated
- Model 1X2 · Tianjin Teda 28.5% · Draw 28.1% · Beijing Guoan 43.5%
- xG · Tianjin Teda 1.22 — Beijing Guoan 1.55
-
Aug 15, 2026 · 11:05 UTC Opening odds snapshot PRE30
- 1X2 odds · Tianjin Teda 2.85 · Draw 3.65 · Beijing Guoan 2.41
- Implied 1X2 · Tianjin Teda 33.8% · Draw 26.4% · Beijing Guoan 39.9%
- Bookmaker · Pinnacle
-
Aug 15, 2026 · 11:26 UTC Closing snapshot recorded PRE10
- 1X2 odds · Tianjin Teda 2.85 · Draw 3.65 · Beijing Guoan 2.41
- Implied 1X2 · Tianjin Teda 33.8% · Draw 26.4% · Beijing Guoan 39.9%
- Bookmaker · Pinnacle
-
Aug 15, 2026 · 11:35 UTC Kickoff
-
FT Full-time result Beijing Guoan win · 2–4
-
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.
Pre-match metrics (historical context)
- Validation: Pass
- No strong statistical edge
- Direction agrees with model lean
- Validation passed
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 | Chengdu Better City | 26 | 15 | 7 | 4 | 52 |
| 2 | Dalian Zhixing | 26 | 12 | 4 | 10 | 40 |
| 3 | Beijing Guoan | 26 | 11 | 10 | 5 | 38 |
| 4 | Yunnan Yukun | 26 | 11 | 5 | 10 | 38 |
| 5 | Qingdao Youth Island | 26 | 8 | 14 | 4 | 38 |
| 6 | Shandong Luneng | 26 | 13 | 4 | 9 | 37 |
| 7 | SHANGHAI SIPG | 26 | 10 | 8 | 8 | 33 |
| 8 | Shanghai Shenhua | 26 | 12 | 5 | 9 | 31 |
| 9 | Chongqing Tongliang Long | 26 | 7 | 10 | 9 | 31 |
| 10 | Hangzhou Greentown | 26 | 10 | 6 | 10 | 31 |
| 11 | Sichuan Jiuniu | 26 | 8 | 4 | 14 | 28 |
| 12 | Henan Jianye | 26 | 8 | 9 | 9 | 27 |
| 13 | Shenyang Urban | 26 | 7 | 4 | 15 | 25 |
| 14 | Tianjin Teda | 26 | 9 | 8 | 9 | 25 |
| 15 | Wuhan Three Towns | 26 | 5 | 11 | 10 | 21 |
| 16 | Qingdao Jonoon | 26 | 6 | 3 | 17 | 14 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Yunnan Yukun | 26 | 54 | 51 | +3 | 38 |
| 2 | Shanghai Shenhua | 26 | 52 | 46 | +6 | 31 |
| 3 | Chengdu Better City | 26 | 51 | 30 | +21 | 52 |
| 4 | Beijing Guoan | 26 | 49 | 33 | +16 | 38 |
| 5 | Shandong Luneng | 26 | 46 | 43 | +3 | 37 |
| 6 | Hangzhou Greentown | 26 | 45 | 43 | +2 | 31 |
| 7 | SHANGHAI SIPG | 26 | 40 | 33 | +7 | 33 |
| 8 | Wuhan Three Towns | 26 | 39 | 46 | -7 | 21 |
| 9 | Dalian Zhixing | 26 | 38 | 42 | -4 | 40 |
| 10 | Tianjin Teda | 26 | 36 | 32 | +4 | 25 |
| 11 | Sichuan Jiuniu | 26 | 34 | 45 | -11 | 28 |
| 12 | Shenyang Urban | 26 | 34 | 47 | -13 | 25 |
| 13 | Qingdao Jonoon | 26 | 34 | 53 | -19 | 14 |
| 14 | Henan Jianye | 26 | 33 | 35 | -2 | 27 |
| 15 | Qingdao Youth Island | 26 | 31 | 32 | -1 | 38 |
| 16 | Chongqing Tongliang Long | 26 | 27 | 32 | -5 | 31 |
| # | TEAM | MP | xG | xGC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Beijing Guoan | 26 | 4.4 | 0.1 | +4.3 | 38 |
| 2 | Shenyang Urban | 26 | 2.8 | 0.8 | +2.0 | 25 |
| 3 | Tianjin Teda | 26 | 1.5 | 0.6 | +0.9 | 25 |
| 4 | Chengdu Better City | 26 | 2.1 | 1.5 | +0.6 | 52 |
| 5 | Qingdao Youth Island | 26 | 1.8 | 1.2 | +0.6 | 38 |
| 6 | Yunnan Yukun | 26 | 2.6 | 2.3 | +0.3 | 38 |
| 7 | Dalian Zhixing | 26 | 2.3 | 2.0 | +0.3 | 40 |
| 8 | Hangzhou Greentown | 26 | 1.7 | 1.5 | +0.2 | 31 |
| 9 | Shanghai Shenhua | 26 | 1.5 | 1.7 | -0.2 | 31 |
| 10 | Wuhan Three Towns | 26 | 2.0 | 2.3 | -0.3 | 21 |
| 11 | Qingdao Jonoon | 26 | 1.5 | 2.1 | -0.6 | 14 |
| 12 | SHANGHAI SIPG | 26 | 1.2 | 1.8 | -0.6 | 33 |
| 13 | Sichuan Jiuniu | 26 | 0.6 | 1.5 | -0.9 | 28 |
| 14 | Chongqing Tongliang Long | 26 | 0.8 | 2.8 | -2.0 | 31 |
| 15 | Shandong Luneng | 26 | 2.4 | 7.0 | -4.6 | 37 |
| 16 | Henan Jianye | 26 | — | — | — | 27 |