Prediction Audit: Qingdao Red Lions vs Xiamen Feilu Prediction, Odds & AI Betting Tips

Qingdao Red Lions

Sep 13, 2026 - 11:00

1 1.32

0 1.28

xG Accuracy: 64%

⚽

Xiamen Feilu

AI correctly predicted the Qingdao Red Lions win.

The match finished 1–0, 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 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Qingdao Red Lions Qingdao Red Lions ✔ Correct
Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Correct

Model vs Closing Market

Outcome	Model	Closing Market	Difference	Signal
Qingdao Red Lions	36.1%	32.5%	+3.7 pp	Aligned
Draw	29.6%	35.8%	-6.1 pp	Market Higher
Xiamen Feilu	34.2%	31.8%	+2.5 pp	Aligned

The closing market estimates Draw's win probability at 35.8%, compared with the model's estimate of 29.6%, a difference of 6.1 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 (Qingdao Red Lions win 1–0).

Market Assessment

The market and model broadly agree on Draw. 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

Exact score 1–0 fell within the model's highlighted bins

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 (1 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Qingdao Red Lions higher (42.2% vs model 36.1%, 6.1 pp), but the model's lean was validated (Qingdao Red Lions win 1–0).

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Prediction Timeline

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

Sep 13, 2026 · 11:02 UTC Forecast generated
- Model 1X2 · Qingdao Red Lions 36.1% · Draw 29.7% · Xiamen Feilu 34.2%
- xG · Qingdao Red Lions 1.32 — Xiamen Feilu 1.28
Sep 13, 2026 · 10:32 UTC Opening odds snapshot PRE30
- 1X2 odds · Qingdao Red Lions 2.79 · Draw 2.53 · Xiamen Feilu 2.85
- Implied 1X2 · Qingdao Red Lions 32.5% · Draw 35.8% · Xiamen Feilu 31.8%
- Bookmaker · Pinnacle
Sep 13, 2026 · 11:02 UTC Closing snapshot recorded PRE1
- 1X2 odds · Qingdao Red Lions 2.79 · Draw 2.53 · Xiamen Feilu 2.85
- Implied 1X2 · Qingdao Red Lions 32.5% · Draw 35.8% · Xiamen Feilu 31.8%
- Bookmaker · Pinnacle
Sep 13, 2026 · 11:00 UTC Kickoff
FT Full-time result Qingdao Red Lions win · 1–0
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.

Historical verdict: Monitor

Historical Decision Monitor

Outcome Validated

Pre-match metrics (historical context)

Prediction Reliability 76/100 · High

Validation: Pass

Evidence ★★★★★

No strong statistical edge
Direction agrees with model lean
Validation passed

Pricing proximity (inverse gap) 24/100

Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:08 UTC Snapshot ID: dp-7426928

Closing Odds 2.53

AI Fair Odds —

CLV Pending

Final Result Qingdao Red Lions win · Qingdao Red Lions 1–0 Xiamen Feilu

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

Pre-match snapshot for this fixture.

League: League Two
Fixture: Qingdao Red Lions vs Xiamen Feilu
Kickoff: 2026-09-13 11:00:00
1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
xG (showing): Qingdao Red Lions 1.32 — Xiamen Feilu 1.28 (total xG ≈ 2.6)
Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
Model: 48.2% · Implied: 38.3% · Probability edge: +9.9 pts · Est. EV: +20.5%
BTTS (model): Yes 54.5% · No 45.5%
Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: Monitor

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

September 30, 2026 (UTC)

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