Prediction Audit: Al Seeb vs Sur Prediction, Odds & AI Betting Tips

Sep 06, 2026 - 13:40
2 1.49
0 1.11
xG Accuracy: 64%

AI correctly predicted the Al Seeb win.

The match finished 2–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 Al Seeb Al Seeb ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 2-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Al Seeb higher than the statistical model.

Largest probability gap: Al Seeb -25.2 pp

Outcome Model Closing Market Difference Signal
Al Seeb 44.3% 69.5% -25.2 pp Market Higher
Draw 29.0% 18.8% +10.2 pp Model Edge
Sur 26.6% 11.7% +14.9 pp Model Edge

The closing market estimates Al Seeb's win probability at 69.5%, compared with the model's estimate of 44.3%, a difference of 25.2 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 model's directional lean matched the result (Al Seeb win 2–0).

Post Match Insights

What worked

  • Al Seeb attacking xG significantly stronger (1.49 vs 1.11)
  • Under 2.5 goals aligned with the xG profile
  • Exact score 2–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Al Seeb higher (69.5% vs model 44.3%, 25.2 pp), but the model's lean was validated (Al Seeb win 2–0).

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Prediction Timeline

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

  1. Sep 06, 2026 · 13:39 UTC Forecast generated
    • Model 1X2 · Al Seeb 44.3% · Draw 29.0% · Sur 26.7%
    • xG · Al Seeb 1.49 — Sur 1.11
  2. Sep 06, 2026 · 13:09 UTC Opening odds snapshot PRE30
    • 1X2 odds · Al Seeb 1.30 · Draw 4.81 · Sur 7.73
    • Implied 1X2 · Al Seeb 69.5% · Draw 18.8% · Sur 11.7%
    • Bookmaker · Pinnacle
  3. Sep 06, 2026 · 13:39 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Al Seeb 1.30 · Draw 4.81 · Sur 7.73
    • Implied 1X2 · Al Seeb 69.5% · Draw 18.8% · Sur 11.7%
    • Bookmaker · Pinnacle
  4. Sep 06, 2026 · 13:40 UTC Kickoff
  5. FT Full-time result Al Seeb win · 2–0
  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 (25 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 31, 2026 · 07:20 UTC Snapshot ID: dp-6360358

Closing Odds 1.3
AI Fair Odds —
CLV Pending
Final Result Al Seeb win · Al Seeb 2–0 Sur
Prediction ✔ Correct
Decision Grade B-

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: Professional League
  • Fixture: Al Seeb vs Sur
  • Kickoff: 2026-09-06 13:40:00
  • 1X2 (model): Home 44.3% · Draw 29.0% · Away 26.7%
  • xG (showing): Al Seeb 1.49 — Sur 1.11 (total xG ≈ 2.6)
  • 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 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 53.5% · No 46.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.5% · No 46.5%
  • Correct score (top bin): 1-1 (12.3%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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: 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

September 28, 2026 (UTC)

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Professional League Professional League — Standings
# TEAM MP W D L PTS
1 Al Seeb 3 2 1 0 7
2 Al-Nahda 3 2 1 0 7
3 Al Nasr 2 2 0 0 6
4 Al-Shabab 3 2 0 1 6
5 Oman Club 3 2 0 1 6
6 Saham 3 2 0 1 6
7 Sohar 3 1 2 0 5
8 Ibri 3 1 1 1 4
9 Smail 3 1 1 1 4
10 Bahla 3 1 0 2 3
11 Dhofar 3 0 1 2 1
12 Fanja 3 0 1 2 1
13 Al Musannah 2 0 0 2 0
14 Sur 3 0 0 3 0
# TEAM MP GS GC +/- PTS
1 Al-Shabab 3 7 5 +2 6
2 Al Seeb 3 6 2 +4 7
3 Ibri 3 5 2 +3 4
4 Al-Nahda 3 5 3 +2 7
5 Al Nasr 2 4 1 +3 6
6 Bahla 3 4 5 -1 3
7 Oman Club 3 3 2 +1 6
8 Saham 3 3 2 +1 6
9 Sur 3 3 8 -5 0
10 Sohar 3 1 0 +1 5
11 Smail 3 1 4 -3 4
12 Dhofar 3 1 4 -3 1
13 Al Musannah 2 0 2 -2 0
14 Fanja 3 0 3 -3 1