Prediction Audit: Al-Wasl FC vs Khorfakkan Prediction, Odds & AI Betting Tips

Sep 04, 2026 - 16:15
5 1.28
2 0.78
xG Accuracy: 26%

AI correctly predicted the Al-Wasl FC win.

The match finished 5–2, 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 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Al-Wasl FC Al-Wasl FC ✔ Correct
  • Correct Score Insights 1-0, 0-0, 1-1, 2-0, 0-1 5-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Al-Wasl FC higher than the statistical model.

Largest probability gap: Al-Wasl FC -25.6 pp

Outcome Model Closing Market Difference Signal
Al-Wasl FC 46.6% 72.2% -25.6 pp Market Higher
Draw 32.3% 15.4% +16.9 pp Model Edge
Khorfakkan 21.1% 12.4% +8.6 pp Model Higher

The closing market estimates Al-Wasl FC's win probability at 72.2%, compared with the model's estimate of 46.6%, a difference of 25.6 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 (Al-Wasl FC win 5–2).

Post Match Insights

What worked

  • Al-Wasl FC attacking xG significantly stronger (1.28 vs 0.78)

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (7 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Al-Wasl FC higher (72.2% vs model 46.6%, 25.6 pp), but the model's lean was validated (Al-Wasl FC win 5–2).

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Prediction Timeline

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

  1. Sep 04, 2026 · 16:14 UTC Forecast generated
    • Model 1X2 · Al-Wasl FC 46.5% · Draw 32.4% · Khorfakkan 21.1%
    • xG · Al-Wasl FC 1.28 — Khorfakkan 0.78
  2. Sep 04, 2026 · 15:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Al-Wasl FC 1.31 · Draw 6.13 · Khorfakkan 7.62
    • Implied 1X2 · Al-Wasl FC 72.2% · Draw 15.4% · Khorfakkan 12.4%
    • Bookmaker · Pinnacle
  3. Sep 04, 2026 · 16:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Al-Wasl FC 1.31 · Draw 6.13 · Khorfakkan 7.62
    • Implied 1X2 · Al-Wasl FC 72.2% · Draw 15.4% · Khorfakkan 12.4%
    • Bookmaker · Pinnacle
  4. Sep 04, 2026 · 16:15 UTC Kickoff
  5. FT Full-time result Al-Wasl FC win · 5–2
  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 50/100 · Moderate
  • Validation: Warning
  • Large market gap (26 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 32/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 29, 2026 · 01:56 UTC Snapshot ID: dp-5914369

Closing Odds 1.31
AI Fair Odds —
CLV Pending
Final Result Al-Wasl FC win · Al-Wasl FC 5–2 Khorfakkan
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: Pro League
  • Fixture: Al-Wasl FC vs Khorfakkan
  • Kickoff: 2026-09-04 16:15:00
  • 1X2 (model): Home 46.6% · Draw 32.4% · Away 21.1%
  • xG (showing): Al-Wasl FC 1.28 — Khorfakkan 0.78 (total xG ≈ 2.06)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 66.0% · Over 2.5 34.0%); BTTS No (Yes 40.8% · No 59.2%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 40.8% · No 59.2%
  • Correct score (top bin): 1-0 (16.3%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

Prefer skipping to over-staking when the engine is honest about missing edge.

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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Pro League Pro League — Standings
# TEAM MP W D L PTS
1 Al-Jazira 5 4 1 0 13
2 Al Ain 5 4 1 0 13
3 Shabab Al Ahli Dubai 5 3 1 1 10
4 Al-Wasl FC 5 3 1 1 10
5 Ajman 5 3 0 2 9
6 Al Wahda FC 5 3 0 2 9
7 Sharjah FC 5 3 0 2 9
8 Dubai United 5 2 1 2 7
9 Al Nasr 5 1 2 2 5
10 Al-Ittihad Kalba 5 1 1 3 4
11 Khorfakkan 5 1 1 3 4
12 Al-Dhafra 5 1 0 4 3
13 Hatta SC 5 1 0 4 3
14 Baniyas SC 5 0 1 4 1
# TEAM MP GS GC +/- PTS
1 Al-Wasl FC 5 15 6 +9 10
2 Al Ain 5 12 5 +7 13
3 Dubai United 5 12 13 -1 7
4 Al-Jazira 5 11 2 +9 13
5 Ajman 5 11 12 -1 9
6 Shabab Al Ahli Dubai 5 10 5 +5 10
7 Sharjah FC 5 10 7 +3 9
8 Al Wahda FC 5 6 5 +1 9
9 Al Nasr 5 6 7 -1 5
10 Al-Ittihad Kalba 5 6 13 -7 4
11 Baniyas SC 5 5 10 -5 1
12 Hatta SC 5 5 11 -6 3
13 Khorfakkan 5 5 12 -7 4
14 Al-Dhafra 5 3 9 -6 3