Predictions / Football / Qatar. Second Division / Al Bidda SC vs Qatar U23

Prediction Audit: Al Bidda SC vs Qatar U23 Prediction, Odds & AI Betting Tips

Aug 31, 2026 - 16:30
2 1.26
0 1.34
xG Accuracy: 56%

The model missed the final outcome (Al Bidda SC win 2–0).

The model had projected Qatar U23 at 37.1%, 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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Qatar U23 Al Bidda SC ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Qatar U23 higher than the statistical model.

Largest probability gap: Qatar U23 -20.2 pp

Outcome Model Closing Market Difference Signal
Al Bidda SC 33.3% 21.9% +11.4 pp Model Edge
Draw 29.6% 20.8% +8.9 pp Model Higher
Qatar U23 37.1% 57.3% -20.2 pp Market Higher

The closing market estimates Qatar U23's win probability at 57.3%, compared with the model's estimate of 37.1%, a difference of 20.2 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 Bidda SC win 2–0.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Qatar U23; match finished Al Bidda SC

Market lesson

The closing market differed from the model on Qatar U23 by 20.2 percentage points (57.3% vs model 37.1%) — 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. Aug 31, 2026 · 16:29 UTC Forecast generated
    • Model 1X2 · Al Bidda SC 33.4% · Draw 29.6% · Qatar U23 37.0%
    • xG · Al Bidda SC 1.26 — Qatar U23 1.34
  2. Aug 31, 2026 · 16:01 UTC Opening odds snapshot PRE30
    • 1X2 odds · Al Bidda SC 4.10 · Draw 4.33 · Qatar U23 1.57
    • Implied 1X2 · Al Bidda SC 21.9% · Draw 20.8% · Qatar U23 57.3%
    • Bookmaker · Bet365
  3. Aug 31, 2026 · 16:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Al Bidda SC 4.10 · Draw 4.33 · Qatar U23 1.57
    • Implied 1X2 · Al Bidda SC 21.9% · Draw 20.8% · Qatar U23 57.3%
    • Bookmaker · Bet365
  4. Aug 31, 2026 · 16:30 UTC Kickoff
  5. FT Full-time result Al Bidda SC win · 2–0
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 53/100 · Moderate
  • Validation: Warning
  • Large market gap (20 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 25, 2026 · 03:18 UTC Snapshot ID: dp-5403908

Closing Odds 1.57
AI Fair Odds —
CLV Pending
Final Result Al Bidda SC win · Al Bidda SC 2–0 Qatar U23
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: Second Division
  • Fixture: Al Bidda SC vs Qatar U23
  • Kickoff: 2026-08-31 16:30:00
  • 1X2 (model): Home 33.4% · Draw 29.6% · Away 37.0%
  • xG (showing): Al Bidda SC 1.26 — Qatar U23 1.34 (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Wait

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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Second Division Second Division — Standings
# TEAM MP W D L PTS
1 Al-Markhiya 3 3 0 0 9
2 Al Bidda SC 3 2 1 0 7
3 Al Waab 3 2 1 0 7
4 Muaither SC 3 2 0 1 6
5 Al Kharaitiyat 3 1 2 0 5
6 Al Mesaimeer 3 1 1 1 4
7 UMM Salal 3 1 1 1 4
8 Al-Khor 3 1 0 2 3
9 Qatar U23 3 0 2 1 2
10 Al-Gharafa B 3 0 1 2 1
11 Al Shamal II 3 0 1 2 1
12 Al Rayyan SC B 3 0 0 3 0
# TEAM MP GS GC +/- PTS
1 Al-Markhiya 3 8 0 +8 9
2 Al Bidda SC 3 6 1 +5 7
3 Muaither SC 3 6 2 +4 6
4 Al-Khor 3 6 7 -1 3
5 Al Waab 3 4 1 +3 7
6 Al Kharaitiyat 3 4 2 +2 5
7 UMM Salal 3 4 7 -3 4
8 Al Mesaimeer 3 3 3 0 4
9 Qatar U23 3 2 4 -2 2
10 Al-Gharafa B 3 1 5 -4 1
11 Al Rayyan SC B 3 1 8 -7 0
12 Al Shamal II 3 0 5 -5 1