Prediction Audit: Al Nasr vs Al Wahda FC Prediction, Odds & AI Betting Tips

Aug 21, 2026 - 16:35
1 0.90
0 1.19
xG Accuracy: 70%

The model missed the final outcome (Al Nasr win 1–0).

The model had projected Al Wahda FC at 40.9%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Al Wahda FC Al Nasr ✖ Incorrect
  • Correct Score Insights 0-1, 1-1, 0-0, 1-0, 0-2 1-0 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Draw +2.9 pp

Outcome Model Closing Market Difference Signal
Al Nasr 26.0% 27.9% -1.9 pp Aligned
Draw 33.1% 30.1% +2.9 pp Aligned
Al Wahda FC 40.9% 42.0% -1.1 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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: PRE10.

After full time, the result was Al Nasr win 1–0.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Low-scoring profile materialised (ΣxG 2.09, 1 goals)
  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Al Wahda FC; match finished Al Nasr

Market lesson

The full-time result was Al Nasr win 1–0, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Aug 21, 2026 · 16:28 UTC Forecast generated
    • Model 1X2 · Al Nasr 26.1% · Draw 33.1% · Al Wahda FC 40.8%
    • xG · Al Nasr 0.90 — Al Wahda FC 1.19
  2. Aug 21, 2026 · 16:04 UTC Opening odds snapshot PRE30
    • 1X2 odds · Al Nasr 3.41 · Draw 3.16 · Al Wahda FC 2.27
    • Implied 1X2 · Al Nasr 27.9% · Draw 30.1% · Al Wahda FC 42.0%
    • Bookmaker · Pinnacle
  3. Aug 21, 2026 · 16:28 UTC Closing snapshot recorded PRE10
    • 1X2 odds · Al Nasr 3.41 · Draw 3.16 · Al Wahda FC 2.27
    • Implied 1X2 · Al Nasr 27.9% · Draw 30.1% · Al Wahda FC 42.0%
    • Bookmaker · Pinnacle
  4. Aug 21, 2026 · 16:35 UTC Kickoff
  5. FT Full-time result Al Nasr win · 1–0
  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 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 85/100
Betting Confidence 81/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 15, 2026 · 01:36 UTC Snapshot ID: dp-4028421

Closing Odds 3.16
AI Fair Odds —
CLV Pending
Final Result Al Nasr win · Al Nasr 1–0 Al Wahda FC
Prediction ✖ Missed
Decision Grade C

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 Nasr vs Al Wahda FC
  • Kickoff: 2026-08-21 16:35:00
  • 1X2 (model): Home 26.1% · Draw 33.1% · Away 40.8%
  • xG (showing): Al Nasr 0.9 — Al Wahda FC 1.19 (total xG ≈ 2.09)
  • 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 65.2% · Over 2.5 34.8%); BTTS No (Yes 43.0% · No 57.0%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 43.0% · No 57.0%
  • Correct score (top bin): 0-1 (14.7%)

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.

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

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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Back to Predictions
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