Prediction Audit: Guangdong Mingtu vs Yichun Grand Tiger Prediction, Odds & AI Betting Tips

Guangdong Mingtu

Aug 09, 2026 - 11:30

0 1.28

0 1.32

xG Accuracy: 49%

Yichun Grand Tiger

The model missed the final outcome (Draw 0–0).

The model had projected Yichun Grand Tiger at 36.1%, 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 Under 2.5 Under 2.5 (0 goals) ✔ Correct
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Yichun Grand Tiger Draw ✖ Incorrect
Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-0 ✖ Incorrect

Model vs Closing Market

Outcome	Model	Closing Market	Difference	Signal
Guangdong Mingtu	34.2%	48.0%	-13.8 pp	Market Higher
Draw	29.6%	30.7%	-1.0 pp	Aligned
Yichun Grand Tiger	36.1%	21.3%	+14.8 pp	Model Edge

The statistical model estimates Yichun Grand Tiger's win probability at 36.1%, compared with the closing market's implied probability of 21.3%, a difference of 14.8 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: PRE1.

After full time, the result was Draw 0–0.

Market Assessment

The statistical fair estimate is materially higher than the market on Yichun Grand Tiger.

The model may see a slower-scoring or closer matchup than the market.
Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

Under 2.5 goals aligned with the xG profile

What failed

Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
1X2: model leaned Yichun Grand Tiger; match finished Draw

Market lesson

The closing market differed from the model on Yichun Grand Tiger by 14.8 percentage points (21.3% vs model 36.1%) — in this case the market view proved closer.

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Prediction Timeline

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

Aug 09, 2026 · 11:29 UTC Forecast generated
- Model 1X2 · Guangdong Mingtu 34.2% · Draw 29.7% · Yichun Grand Tiger 36.1%
- xG · Guangdong Mingtu 1.28 — Yichun Grand Tiger 1.32
Aug 09, 2026 · 11:01 UTC Opening odds snapshot PRE30
- 1X2 odds · Guangdong Mingtu 1.88 · Draw 2.94 · Yichun Grand Tiger 4.23
- Implied 1X2 · Guangdong Mingtu 48.0% · Draw 30.7% · Yichun Grand Tiger 21.3%
- Bookmaker · Pinnacle
Aug 09, 2026 · 11:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Guangdong Mingtu 1.88 · Draw 2.94 · Yichun Grand Tiger 4.23
- Implied 1X2 · Guangdong Mingtu 48.0% · Draw 30.7% · Yichun Grand Tiger 21.3%
- Bookmaker · Pinnacle
Aug 09, 2026 · 11:30 UTC Kickoff
FT Full-time result Draw · 0–0
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.

Historical verdict: Monitor

Historical Decision Monitor

Outcome Missed

Pre-match metrics (historical context)

Prediction Reliability 56/100 · Moderate

Validation: Warning
Large market gap (15 pp)

Evidence ★★★★★

Statistical edge detected
Market has already priced much of the edge
Validation warning

Pricing proximity (inverse gap) 9/100

Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 04, 2026 · 00:58 UTC Snapshot ID: dp-2961528

Closing Odds 4.23

AI Fair Odds —

CLV Pending

Final Result Draw · Guangdong Mingtu 0–0 Yichun Grand Tiger

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

Quick read on how the model reads this matchup.

League: League Two
Fixture: Guangdong Mingtu vs Yichun Grand Tiger
Kickoff: 2026-08-09 11:30:00
1X2 (model): Home 34.2% · Draw 29.7% · Away 36.1%
xG (showing): Guangdong Mingtu 1.28 — Yichun Grand Tiger 1.32 (total xG ≈ 2.6)
Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.5% · No 45.5%
Correct score (top bin): 1-1 (12.5%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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

Historical Recommendation

Historical Decision: Monitor

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

September 30, 2026 (UTC)

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