Statistics / Football / Oman. Professional League / Dhofar vs Smail

Dhofar vs Smail Statistics & Analysis

Dhofar Dhofar
Oct 10, 2026 - 15:30
2 1.35
2 1.25
xG Accuracy: 68%
Smail Smail
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Tracked markets vs full-time result

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 Dhofar Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Oct 05, 2026 · 03:49 UTC Snapshot ID: dp-13243074

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Draw · Dhofar 2–2 Smail
Prediction ✖ Missed
Decision Grade F

AI match briefing

AI Match Summary

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

  • League: Professional League
  • Fixture: Dhofar vs Smail
  • Kickoff: 2026-10-10 15:30:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): Dhofar 1.35 — Smail 1.25 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • 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%)

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.

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

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

October 18, 2026 (UTC)

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