Predictions / Football / China. Super League / Chengdu Better City vs Wuhan Three Towns

Prediction Audit: Chengdu Better City vs Wuhan Three Towns Prediction, Odds & AI Betting Tips

Aug 01, 2026 - 12:00
1 2.98
1 0.93
xG Accuracy: 57%

The model missed the final outcome (Draw 1–1).

The model had projected Chengdu Better City at 77.8%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Chengdu Better City Draw ✖ Incorrect
  • Correct Score Insights 2-0, 3-0, 2-1, 3-1, 4-0 1-1 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates Chengdu Better City considerably stronger than the closing betting market.

Largest probability gap: Chengdu Better City +8.4 pp

Outcome Model Closing Market Difference Signal
Chengdu Better City 77.8% 69.5% +8.4 pp Model Higher
Draw 14.3% 19.1% -4.8 pp Aligned
Wuhan Three Towns 7.9% 11.5% -3.6 pp Aligned

The statistical model estimates Chengdu Better City's win probability at 77.8%, compared with the closing market's implied probability of 69.5%, a difference of 8.4 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: PRE5.

After full time, the result was Draw 1–1.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Chengdu Better City.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned Chengdu Better City; match finished Draw

Market lesson

The closing market differed from the model on Chengdu Better City by 8.4 percentage points (69.4% vs model 77.8%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Aug 01, 2026 · 11:55 UTC Forecast generated
    • Model 1X2 · Chengdu Better City 77.9% · Draw 14.2% · Wuhan Three Towns 7.9%
    • xG · Chengdu Better City 2.98 — Wuhan Three Towns 0.93
  2. Aug 01, 2026 · 11:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Chengdu Better City 1.38 · Draw 5.03 · Wuhan Three Towns 8.37
    • Implied 1X2 · Chengdu Better City 69.5% · Draw 19.1% · Wuhan Three Towns 11.5%
    • Bookmaker · Pinnacle
  3. Aug 01, 2026 · 11:55 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Chengdu Better City 1.38 · Draw 5.03 · Wuhan Three Towns 8.37
    • Implied 1X2 · Chengdu Better City 69.5% · Draw 19.1% · Wuhan Three Towns 11.5%
    • Bookmaker · Pinnacle
  4. Aug 01, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  6. FT Prediction missed 1X2 lean did not match 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 Missed
Pre-match metrics (historical context)
Prediction Reliability 63/100 · Moderate
  • Validation: Pass
  • High xG deviation from league baseline (121%+)
Evidence ★★★★★
  • Strong model lean
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 58/100
Betting Confidence 66/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 02:13 UTC Snapshot ID: dp-1794919

Closing Odds 1.38
AI Fair Odds —
CLV Pending
Final Result Draw · Chengdu Better City 1–1 Wuhan Three Towns
Prediction ✖ Missed
Decision Grade F

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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Super League
  • Fixture: Chengdu Better City vs Wuhan Three Towns
  • Kickoff: 2026-08-01 12:00:00
  • 1X2 (model): Home 77.9% · Draw 14.2% · Away 7.9%
  • xG (showing): Chengdu Better City 2.98 — Wuhan Three Towns 0.93 (total xG ≈ 3.91)
  • Value headline: None (actionable) — best tracked EV is about +2.0%, 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 25.2% · Over 2.5 74.8%); BTTS Yes (Yes 58.2% · No 41.8%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 58.2% · No 41.8%
  • Correct score (top bin): 2-0 (8.9%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match 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

October 01, 2026 (UTC)

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Super League 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