Statistics / Football / Kuwait. Division 1 / Al Sulaibikhat vs Al Jazira

Al Sulaibikhat vs Al Jazira Statistics & Analysis

Al Sulaibikhat Al Sulaibikhat
Jul 25, 2026 - 17:45
1 1.52
1 1.52
xG Accuracy: 75%
Al Jazira Al Jazira
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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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Al Sulaibikhat Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 0-1, 1-0 1-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:10 UTC Snapshot ID: dp-1456695

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Draw · Al Sulaibikhat 1–1 Al Jazira
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

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

  • League: Division 1
  • Fixture: Al Sulaibikhat vs Al Jazira
  • Kickoff: 2026-07-25 17:45:00
  • 1X2 (model): Home 36.5% · Draw 27.0% · Away 36.5%
  • xG (showing): Al Sulaibikhat 1.52 — Al Jazira 1.52 (total xG ≈ 3.04)
  • 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): Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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

September 30, 2026 (UTC)

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Back to Statistics
Division 1 Division 1 — Standings
# TEAM MP W D L PTS
1 Al Sulaibikhat 21 13 5 3 44
2 Al Sahel 21 13 5 3 44
3 Yarmouk 21 13 4 4 43
4 Al Jazira 21 11 5 5 38
5 Khaitan 21 7 6 8 27
6 Burgan 21 5 8 8 23
7 Shamiya 21 3 1 17 10
8 Sporty 21 2 0 19 6
# TEAM MP GS GC +/- PTS
1 Yarmouk 21 42 20 +22 43
2 Al Jazira 21 41 24 +17 38
3 Al Sulaibikhat 21 38 16 +22 44
4 Al Sahel 21 35 16 +19 44
5 Burgan 21 26 30 -4 23
6 Khaitan 21 23 20 +3 27
7 Shamiya 21 19 63 -44 10
8 Sporty 21 14 49 -35 6