Predictions / Football / China. League Two / Guizhou Zhucheng vs Shangyu Pterosaur

Prediction Audit: Guizhou Zhucheng vs Shangyu Pterosaur Prediction, Odds & AI Betting Tips

Jul 25, 2026 - 11:30
3 1.45
0 1.15
xG Accuracy: 48%

AI correctly predicted the Guizhou Zhucheng win.

The match finished 3–0, validating the model's directional assessment.

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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Guizhou Zhucheng Guizhou Zhucheng ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 3-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Guizhou Zhucheng higher than the statistical model.

Largest probability gap: Guizhou Zhucheng -22.3 pp

Outcome Model Closing Market Difference Signal
Guizhou Zhucheng 42.4% 64.7% -22.3 pp Market Higher
Draw 29.3% 24.4% +4.9 pp Aligned
Shangyu Pterosaur 28.4% 10.9% +17.4 pp Model Edge

The closing market estimates Guizhou Zhucheng's win probability at 64.7%, compared with the model's estimate of 42.4%, a difference of 22.3 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 (Guizhou Zhucheng win 3–0).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Guizhou Zhucheng higher (64.7% vs model 42.4%, 22.3 pp), but the model's lean was validated (Guizhou Zhucheng win 3–0).

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Prediction Timeline

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

  1. Jul 25, 2026 · 20:27 UTC Forecast generated
    • Model 1X2 · Guizhou Zhucheng 42.4% · Draw 29.2% · Shangyu Pterosaur 28.4%
    • xG · Guizhou Zhucheng 1.45 — Shangyu Pterosaur 1.15
  2. Jul 25, 2026 · 11:04 UTC Opening odds snapshot PRE30
    • 1X2 odds · Guizhou Zhucheng 1.40 · Draw 3.71 · Shangyu Pterosaur 8.29
    • Implied 1X2 · Guizhou Zhucheng 64.7% · Draw 24.4% · Shangyu Pterosaur 10.9%
    • Bookmaker · Pinnacle
  3. Jul 25, 2026 · 11:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Guizhou Zhucheng 1.40 · Draw 3.71 · Shangyu Pterosaur 8.29
    • Implied 1X2 · Guizhou Zhucheng 64.7% · Draw 24.4% · Shangyu Pterosaur 10.9%
    • Bookmaker · Pinnacle
  4. Jul 25, 2026 · 11:30 UTC Kickoff
  5. FT Full-time result Guizhou Zhucheng win · 3–0
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (22 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:56 UTC Snapshot ID: dp-1453461

Closing Odds 1.4
AI Fair Odds —
CLV Pending
Final Result Guizhou Zhucheng win · Guizhou Zhucheng 3–0 Shangyu Pterosaur
Prediction ✔ Correct
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

Quick read on how the model reads this matchup.

  • League: China League Two
  • Fixture: Guizhou Zhucheng vs Shangyu Pterosaur
  • Kickoff: 2026-07-25 11:30:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Guizhou Zhucheng 1.45 — Shangyu Pterosaur 1.15 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Wait

Outcome: Validated — Pre-match lean validated against 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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