Predictions / Football / Kuwait. Division 1 / Al Sulaibikhat vs Al Sahel

Prediction Audit: Al Sulaibikhat vs Al Sahel Prediction, Odds & AI Betting Tips

Al Sulaibikhat Al Sulaibikhat
Aug 17, 2026 - 17:15
0 1.40
0 1.39
xG Accuracy: 46%
Al Sahel Al Sahel

The model missed the final outcome (Draw 0–0).

The model had projected Al Sulaibikhat at 35.7%, 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 Over 2.5 Under 2.5 (0 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Al Sulaibikhat Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Draw -2.4 pp

Outcome Model Closing Market Difference Signal
Al Sulaibikhat 35.7% 34.6% +1.0 pp Aligned
Draw 29.1% 31.5% -2.4 pp Aligned
Al Sahel 35.2% 33.9% +1.4 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 Draw 0–0.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (0 goals)

Market lesson

The full-time result was Draw 0–0, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Aug 17, 2026 · 19:11 UTC Forecast generated
    • Model 1X2 · Al Sulaibikhat 35.7% · Draw 29.1% · Al Sahel 35.2%
    • xG · Al Sulaibikhat 1.40 — Al Sahel 1.39
  2. Aug 17, 2026 · 16:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Al Sulaibikhat 2.60 · Draw 2.86 · Al Sahel 2.66
    • Implied 1X2 · Al Sulaibikhat 34.6% · Draw 31.5% · Al Sahel 33.9%
    • Bookmaker · Pinnacle
  3. Aug 17, 2026 · 17:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Al Sulaibikhat 2.60 · Draw 2.86 · Al Sahel 2.66
    • Implied 1X2 · Al Sulaibikhat 34.6% · Draw 31.5% · Al Sahel 33.9%
    • Bookmaker · Pinnacle
  4. Aug 17, 2026 · 17:15 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 88/100
Betting Confidence 81/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 11, 2026 · 02:19 UTC Snapshot ID: dp-3619266

Closing Odds 2.86
AI Fair Odds —
CLV Pending
Final Result Draw · Al Sulaibikhat 0–0 Al Sahel
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: Division 1
  • Fixture: Al Sulaibikhat vs Al Sahel
  • Kickoff: 2026-08-17 17:15:00
  • 1X2 (model): Home 35.7% · Draw 29.1% · Away 35.2%
  • xG (showing): Al Sulaibikhat 1.4 — Al Sahel 1.39 (total xG ≈ 2.79)
  • 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 Over 2.5 (Under 2.5 47.2% · Over 2.5 52.8%); BTTS Yes (Yes 58.1% · No 41.9%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 58.1% · No 41.9%
  • Correct score (top bin): 1-1 (12.0%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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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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