Predictions / Football / Oman. FA Cup / Sohar vs Al Seeb

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

Sohar Sohar
Sep 24, 2026 - 14:40
1 1.27
3 1.33
xG Accuracy: 59%
Al Seeb Al Seeb

AI correctly predicted the Al Seeb win.

The match finished 1–3, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Al Seeb Al Seeb ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-3 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Sohar higher than the statistical model.

Largest probability gap: Sohar -6.7 pp

Outcome Model Closing Market Difference Signal
Sohar 33.8% 40.5% -6.7 pp Market Higher
Draw 29.6% 29.1% +0.6 pp Aligned
Al Seeb 36.6% 30.5% +6.1 pp Model Higher

The closing market estimates Sohar's win probability at 40.5%, compared with the model's estimate of 33.8%, a difference of 6.7 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 1–3).

Market Assessment

The market and model broadly agree on Sohar. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

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
  • Over 2.5 goals aligned with the xG profile

What failed

  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Al Seeb higher (43.3% vs model 36.6%, 6.7 pp), but the model's lean was validated (Al Seeb win 1–3).

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Prediction Timeline

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

  1. Sep 24, 2026 · 14:39 UTC Forecast generated
    • Model 1X2 · Sohar 33.8% · Draw 29.6% · Al Seeb 36.6%
    • xG · Sohar 1.27 — Al Seeb 1.33
  2. Sep 24, 2026 · 14:09 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sohar 2.20 · Draw 3.06 · Al Seeb 2.92
    • Implied 1X2 · Sohar 40.5% · Draw 29.1% · Al Seeb 30.5%
    • Bookmaker · Pinnacle
  3. Sep 24, 2026 · 14:39 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Sohar 2.20 · Draw 3.06 · Al Seeb 2.92
    • Implied 1X2 · Sohar 40.5% · Draw 29.1% · Al Seeb 30.5%
    • Bookmaker · Pinnacle
  4. Sep 24, 2026 · 14:40 UTC Kickoff
  5. FT Full-time result Al Seeb win · 1–3
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 23/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 18, 2026 · 01:52 UTC Snapshot ID: dp-9339398

Closing Odds 2.2
AI Fair Odds —
CLV Pending
Final Result Al Seeb win · Sohar 1–3 Al Seeb
Prediction ✔ Correct
Decision Grade A

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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: FA Cup
  • Fixture: Sohar vs Al Seeb
  • Kickoff: 2026-09-24 14:40:00
  • 1X2 (model): Home 33.8% · Draw 29.6% · Away 36.6%
  • xG (showing): Sohar 1.27 — Al Seeb 1.33 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
  • Model: 48.2% · Implied: 42.5% · Probability edge: +5.7 pts · Est. EV: +8.9%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

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

Historical Recommendation

Historical Decision: Monitor

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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