Predictions / Football / Qatar. QSL Cup / Al Ahli Doha vs Al Shahaniya

Prediction Audit: Al Ahli Doha vs Al Shahaniya Prediction, Odds & AI Betting Tips

Al Ahli Doha Al Ahli Doha
Sep 20, 2026 - 17:15
0 1.30
1 1.30
xG Accuracy: 64%
Al Shahaniya Al Shahaniya

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

The model had projected Al Ahli Doha at 35.2%, 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 Ahli Doha Al Shahaniya ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Al Ahli Doha higher than the statistical model.

Largest probability gap: Al Ahli Doha -14.8 pp

Outcome Model Closing Market Difference Signal
Al Ahli Doha 35.2% 50.0% -14.8 pp Market Higher
Draw 29.6% 25.7% +4.0 pp Aligned
Al Shahaniya 35.2% 24.3% +10.9 pp Model Edge

The closing market estimates Al Ahli Doha's win probability at 50.0%, compared with the model's estimate of 35.2%, a difference of 14.8 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 result was Al Shahaniya win 0–1.

Market Assessment

The market is materially more optimistic about Al Ahli Doha than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Al Ahli Doha; match finished Al Shahaniya

Market lesson

The closing market differed from the model on Al Ahli Doha by 14.8 percentage points (50.0% vs model 35.2%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 20, 2026 · 17:14 UTC Forecast generated
    • Model 1X2 · Al Ahli Doha 35.2% · Draw 29.6% · Al Shahaniya 35.2%
    • xG · Al Ahli Doha 1.30 — Al Shahaniya 1.30
  2. Sep 20, 2026 · 16:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Al Ahli Doha 1.80 · Draw 3.50 · Al Shahaniya 3.70
    • Implied 1X2 · Al Ahli Doha 50.0% · Draw 25.7% · Al Shahaniya 24.3%
    • Bookmaker · Bet365
  3. Sep 20, 2026 · 17:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Al Ahli Doha 1.80 · Draw 3.50 · Al Shahaniya 3.70
    • Implied 1X2 · Al Ahli Doha 50.0% · Draw 25.7% · Al Shahaniya 24.3%
    • Bookmaker · Bet365
  4. Sep 20, 2026 · 17:15 UTC Kickoff
  5. FT Full-time result Al Shahaniya win · 0–1
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 25/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 02:36 UTC Snapshot ID: dp-8693973

Closing Odds 1.8
AI Fair Odds —
CLV Pending
Final Result Al Shahaniya win · Al Ahli Doha 0–1 Al Shahaniya
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

Quick read on how the model reads this matchup.

  • League: QSL Cup
  • Fixture: Al Ahli Doha vs Al Shahaniya
  • Kickoff: 2026-09-20 17:15:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Al Ahli Doha 1.3 — Al Shahaniya 1.3 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 47.3% · Probability edge: +4.5 pts · Est. EV: +3.6%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

1X2 can look balanced even when side markets show clearer structure.

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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