Predictions / Football / Qatar. Stars League / Al Wakrah vs Qatar SC

Prediction Audit: Al Wakrah vs Qatar SC Prediction, Odds & AI Betting Tips

Aug 20, 2026 - 14:15
2 1.37
2 1.23
xG Accuracy: 68%

The model missed the final outcome (Draw 2–2).

The model had projected Al Wakrah at 38.5%, 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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Al Wakrah Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-2 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Draw +3.0 pp

Outcome Model Closing Market Difference Signal
Al Wakrah 38.5% 40.1% -1.6 pp Aligned
Draw 29.6% 26.6% +3.0 pp Aligned
Qatar SC 31.9% 33.4% -1.4 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: PRE1.

After full time, the result was Draw 2–2.

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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • 1X2: model leaned Al Wakrah; match finished Draw

Market lesson

The full-time result was Draw 2–2, 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 20, 2026 · 14:14 UTC Forecast generated
    • Model 1X2 · Al Wakrah 38.5% · Draw 29.6% · Qatar SC 31.9%
    • xG · Al Wakrah 1.37 — Qatar SC 1.23
  2. Aug 20, 2026 · 13:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Al Wakrah 2.38 · Draw 3.59 · Qatar SC 2.86
    • Implied 1X2 · Al Wakrah 40.1% · Draw 26.6% · Qatar SC 33.4%
    • Bookmaker · Pinnacle
  3. Aug 20, 2026 · 14:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Al Wakrah 2.38 · Draw 3.59 · Qatar SC 2.86
    • Implied 1X2 · Al Wakrah 40.1% · Draw 26.6% · Qatar SC 33.4%
    • Bookmaker · Pinnacle
  4. Aug 20, 2026 · 14:15 UTC Kickoff
  5. FT Full-time result Draw · 2–2
  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 14, 2026 · 07:22 UTC Snapshot ID: dp-3922359

Closing Odds 3.59
AI Fair Odds —
CLV Pending
Final Result Draw · Al Wakrah 2–2 Qatar SC
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

Pre-match snapshot for this fixture.

  • League: Stars League
  • Fixture: Al Wakrah vs Qatar SC
  • Kickoff: 2026-08-20 14:15:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Al Wakrah 1.37 — Qatar SC 1.23 (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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • 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.

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

September 28, 2026 (UTC)

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Stars League Stars League — Standings
# TEAM MP W D L PTS
1 Al Sadd 4 4 0 0 12
2 Al-Rayyan SC 4 3 1 0 10
3 Al Shamal 4 2 2 0 8
4 Al-Arabi SC 4 1 3 0 6
5 Al-Duhail SC 4 1 3 0 6
6 Lusail City 4 1 2 1 5
7 Al Shahaniya 4 1 1 2 4
8 Al Ahli Doha 4 1 1 2 4
9 Al-Gharafa 4 1 1 2 4
10 Qatar SC 4 0 2 2 2
11 Al Wakrah 4 0 2 2 2
12 Al-Sailiya 4 0 0 4 0
# TEAM MP GS GC +/- PTS
1 Al Sadd 4 19 7 +12 12
2 Al Shamal 4 10 6 +4 8
3 Al-Rayyan SC 4 7 2 +5 10
4 Lusail City 4 7 4 +3 5
5 Al Shahaniya 4 7 9 -2 4
6 Al-Arabi SC 4 5 3 +2 6
7 Al-Duhail SC 4 5 3 +2 6
8 Al Ahli Doha 4 5 9 -4 4
9 Al-Sailiya 4 5 13 -8 0
10 Al-Gharafa 4 4 8 -4 4
11 Qatar SC 4 4 9 -5 2
12 Al Wakrah 4 4 9 -5 2