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

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

Aug 20, 2026 - 17:10
2 1.43
3 1.37
xG Accuracy: 55%

The model missed the final outcome (Yarmouk win 2–3).

The model had projected Al Sahel at 36.0%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Al Sahel Yarmouk ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 1-2 2-3 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates Al Sahel considerably stronger than the closing betting market.

Largest probability gap: Al Sahel +5.6 pp

Outcome Model Closing Market Difference Signal
Al Sahel 36.0% 30.4% +5.6 pp Model Higher
Draw 29.1% 29.8% -0.7 pp Aligned
Yarmouk 34.9% 39.8% -4.9 pp Aligned

The statistical model estimates Al Sahel's win probability at 36.0%, compared with the closing market's implied probability of 30.4%, a difference of 5.6 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 result was Yarmouk win 2–3.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Al Sahel.

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

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.80) — 5 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Al Sahel; match finished Yarmouk
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on Al Sahel by 5.6 percentage points (30.4% vs model 36.0%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Aug 20, 2026 · 19:15 UTC Forecast generated
    • Model 1X2 · Al Sahel 36.1% · Draw 29.1% · Yarmouk 34.8%
    • xG · Al Sahel 1.43 — Yarmouk 1.37
  2. Aug 20, 2026 · 16:39 UTC Opening odds snapshot PRE30
    • 1X2 odds · Al Sahel 2.64 · Draw 2.93 · Yarmouk 2.47
    • Implied 1X2 · Al Sahel 33.7% · Draw 30.3% · Yarmouk 36.0%
    • Bookmaker · Pinnacle
  3. Aug 20, 2026 · 17:09 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Al Sahel 2.96 · Draw 3.02 · Yarmouk 2.26
    • Implied 1X2 · Al Sahel 30.4% · Draw 29.8% · Yarmouk 39.8%
    • Bookmaker · Pinnacle
  4. Aug 20, 2026 · 17:10 UTC Kickoff
  5. FT Full-time result Yarmouk win · 2–3
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 24/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 14, 2026 · 07:27 UTC Snapshot ID: dp-3922996

Closing Odds 2.96
AI Fair Odds —
CLV Pending
Final Result Yarmouk win · Al Sahel 2–3 Yarmouk
Prediction ✖ Missed
Decision Grade C

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

Quick read on how the model reads this matchup.

  • League: Division 1
  • Fixture: Al Sahel vs Yarmouk
  • Kickoff: 2026-08-20 17:10:00
  • 1X2 (model): Home 36.1% · Draw 29.1% · Away 34.8%
  • xG (showing): Al Sahel 1.43 — Yarmouk 1.37 (total xG ≈ 2.8)
  • 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 46.9% · Over 2.5 53.0%); BTTS Yes (Yes 58.3% · No 41.7%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 58.3% · No 41.7%
  • Correct score (top bin): 1-1 (11.9%)

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.

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

Historical Recommendation

Historical Decision: Monitor

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 29, 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