Predictions / Football / Jordan. League / Shabab Al Ordon vs Al Hussein

Prediction Audit: Shabab Al Ordon vs Al Hussein Prediction, Odds & AI Betting Tips

Sep 19, 2026 - 16:00
3 1.08
3 1.52
xG Accuracy: 39%

The model missed the final outcome (Draw 3–3).

The model had projected Al Hussein at 45.8%, 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 Under 2.5 Over 2.5 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Al Hussein Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-2, 0-2, 1-0 3-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Al Hussein higher than the statistical model.

Largest probability gap: Al Hussein -20.6 pp

Outcome Model Closing Market Difference Signal
Shabab Al Ordon 25.4% 12.6% +12.8 pp Model Edge
Draw 28.8% 21.0% +7.8 pp Model Higher
Al Hussein 45.8% 66.4% -20.6 pp Market Higher

The closing market estimates Al Hussein's win probability at 66.4%, compared with the model's estimate of 45.8%, a difference of 20.6 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: PRE5.

After full time, the result was Draw 3–3.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)
  • 1X2: model leaned Al Hussein; match finished Draw

Market lesson

The closing market differed from the model on Al Hussein by 20.6 percentage points (66.4% vs model 45.8%) — 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. Sep 19, 2026 · 16:01 UTC Forecast generated
    • Model 1X2 · Shabab Al Ordon 25.4% · Draw 28.8% · Al Hussein 45.8%
    • xG · Shabab Al Ordon 1.08 — Al Hussein 1.52
  2. Sep 19, 2026 · 15:35 UTC Opening odds snapshot PRE30
    • 1X2 odds · Shabab Al Ordon 7.17 · Draw 4.31 · Al Hussein 1.36
    • Implied 1X2 · Shabab Al Ordon 12.6% · Draw 21.0% · Al Hussein 66.4%
    • Bookmaker · Pinnacle
  3. Sep 19, 2026 · 16:01 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Shabab Al Ordon 7.17 · Draw 4.31 · Al Hussein 1.36
    • Implied 1X2 · Shabab Al Ordon 12.6% · Draw 21.0% · Al Hussein 66.4%
    • Bookmaker · Pinnacle
  4. Sep 19, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Draw · 3–3
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 53/100 · Moderate
  • Validation: Warning
  • Large market gap (21 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 03:13 UTC Snapshot ID: dp-8704003

Closing Odds 1.36
AI Fair Odds —
CLV Pending
Final Result Draw · Shabab Al Ordon 3–3 Al Hussein
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: League
  • Fixture: Shabab Al Ordon vs Al Hussein
  • Kickoff: 2026-09-19 16:00:00
  • 1X2 (model): Home 25.4% · Draw 28.8% · Away 45.8%
  • xG (showing): Shabab Al Ordon 1.08 — Al Hussein 1.52 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 53.2% · No 46.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.2% · No 46.8%
  • Correct score (top bin): 1-1 (12.2%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Wait

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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Back to Predictions
League League — Standings
# TEAM MP W D L PTS
1 Al Faisaly 3 2 1 0 7
2 Al Ramtha 3 2 1 0 7
3 Al Jazeera 3 1 2 0 5
4 Al Salt 3 1 1 1 4
5 Al Buqa'a 3 1 1 1 4
6 Shabab Al Ordon 3 0 3 0 3
7 Doqarah 3 1 0 2 3
8 Al Wihdat 3 0 2 1 2
9 Al Hussein 3 0 2 1 2
10 Al Arabi 3 0 1 2 1
# TEAM MP GS GC +/- PTS
1 Al Faisaly 3 6 0 +6 7
2 Al Jazeera 3 6 1 +5 5
3 Shabab Al Ordon 3 5 5 0 3
4 Al Ramtha 3 3 1 +2 7
5 Al Salt 3 3 3 0 4
6 Al Hussein 3 3 8 -5 2
7 Doqarah 3 2 3 -1 3
8 Al Buqa'a 3 1 4 -3 4
9 Al Arabi 3 1 4 -3 1
10 Al Wihdat 3 0 1 -1 2