Predictions / Football / Saudi-Arabia. Pro League / Al Kholood vs Al-Ahli Jeddah

Prediction Audit: Al Kholood vs Al-Ahli Jeddah Prediction, Odds & AI Betting Tips

Al Kholood Al Kholood
Aug 29, 2026 - 16:05
3 0.99
1 1.71
xG Accuracy: 47%
Al-Ahli Jeddah Al-Ahli Jeddah

The model missed the final outcome (Al Kholood win 3–1).

The model had projected Al-Ahli Jeddah at 52.8%, 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 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Al-Ahli Jeddah Al Kholood ✖ Incorrect
  • Correct Score Insights 0-1, 1-1, 0-2, 1-2, 0-0 3-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Al-Ahli Jeddah higher than the statistical model.

Largest probability gap: Al-Ahli Jeddah -14.2 pp

Outcome Model Closing Market Difference Signal
Al Kholood 20.3% 13.5% +6.8 pp Model Higher
Draw 26.9% 19.5% +7.4 pp Model Higher
Al-Ahli Jeddah 52.8% 67.0% -14.2 pp Market Higher

The closing market estimates Al-Ahli Jeddah's win probability at 67.0%, compared with the model's estimate of 52.8%, a difference of 14.2 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: PRE1.

After full time, the result was Al Kholood win 3–1.

Market Assessment

The market is materially more optimistic about Al-Ahli Jeddah than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.70) — 4 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-Ahli Jeddah; match finished Al Kholood
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on Al-Ahli Jeddah by 14.2 percentage points (67.0% vs model 52.8%) — in this case the market view proved closer.

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

  1. Aug 29, 2026 · 16:04 UTC Forecast generated
    • Model 1X2 · Al Kholood 20.3% · Draw 26.9% · Al-Ahli Jeddah 52.9%
    • xG · Al Kholood 0.99 — Al-Ahli Jeddah 1.71
  2. Aug 29, 2026 · 15:59 UTC Opening odds snapshot PRE10
    • 1X2 odds · Al Kholood 7.00 · Draw 4.85 · Al-Ahli Jeddah 1.41
    • Implied 1X2 · Al Kholood 13.5% · Draw 19.5% · Al-Ahli Jeddah 67.0%
    • Bookmaker · Pinnacle
  3. Aug 29, 2026 · 16:04 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Al Kholood 7.00 · Draw 4.85 · Al-Ahli Jeddah 1.41
    • Implied 1X2 · Al Kholood 13.5% · Draw 19.5% · Al-Ahli Jeddah 67.0%
    • Bookmaker · Pinnacle
  4. Aug 29, 2026 · 16:05 UTC Kickoff
  5. FT Full-time result Al Kholood win · 3–1
  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 56/100 · Moderate
  • Validation: Warning
  • Large market gap (14 pp)
Evidence ★★★★★
  • Moderate model lean
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 28/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 23, 2026 · 04:28 UTC Snapshot ID: dp-5156309

Closing Odds 1.41
AI Fair Odds —
CLV Pending
Final Result Al Kholood win · Al Kholood 3–1 Al-Ahli Jeddah
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

Pre-match snapshot for this fixture.

  • League: Pro League
  • Fixture: Al Kholood vs Al-Ahli Jeddah
  • Kickoff: 2026-08-29 16:05:00
  • 1X2 (model): Home 20.3% · Draw 26.9% · Away 52.8%
  • xG (showing): Al Kholood 0.99 — Al-Ahli Jeddah 1.71 (total xG ≈ 2.7)
  • 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 Over 2.5 (Under 2.5 49.4% · Over 2.5 50.6%); BTTS Yes (Yes 53.0% · No 47.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 53.0% · No 47.0%
  • Correct score (top bin): 0-1 (11.5%)

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.

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

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 30, 2026 (UTC)

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Pro League Pro League — Standings
# TEAM MP W D L PTS
1 Al-Hilal Saudi FC 7 6 0 1 18
2 Al-Ittihad FC 7 5 2 0 17
3 Al-Nassr 7 5 1 1 16
4 Al-Qadisiyah FC 7 5 1 1 16
5 NEOM 7 5 0 2 15
6 Al-Ahli Jeddah 7 4 0 3 12
7 Al Kholood 7 3 3 1 12
8 Al Diriyah 7 3 2 2 11
9 Al-Ettifaq 7 3 2 2 11
10 Al-Hazm 7 2 2 3 8
11 Al Riyadh 7 2 2 3 8
12 Al-Fayha 7 1 3 3 6
13 Al Khaleej Saihat 7 0 5 2 5
14 Al Shabab 7 0 4 3 4
15 Al-Fateh 7 0 3 4 3
16 Al-Faisaly FC 7 0 3 4 3
17 Al Taawon 7 0 3 4 3
18 Abha 7 0 2 5 2
# TEAM MP GS GC +/- PTS
1 Al-Hilal Saudi FC 7 23 5 +18 18
2 Al-Nassr 7 16 7 +9 16
3 Al-Qadisiyah FC 7 16 8 +8 16
4 Al-Ahli Jeddah 7 16 10 +6 12
5 NEOM 7 13 6 +7 15
6 Al-Ittihad FC 7 12 6 +6 17
7 Al Kholood 7 12 10 +2 12
8 Al-Ettifaq 7 11 11 0 11
9 Al Riyadh 7 8 16 -8 8
10 Al Diriyah 7 7 5 +2 11
11 Al-Hazm 7 7 9 -2 8
12 Al-Fayha 7 7 11 -4 6
13 Al Shabab 7 6 11 -5 4
14 Al-Faisaly FC 7 5 13 -8 3
15 Abha 7 5 13 -8 2
16 Al-Fateh 7 4 11 -7 3
17 Al Khaleej Saihat 7 3 10 -7 5
18 Al Taawon 7 3 12 -9 3
# TEAM MP xG xGC +/- PTS
1 Al-Hilal Saudi FC 7 13.7 4.9 +8.8 18
2 Al-Qadisiyah FC 7 9.1 3.6 +5.5 16
3 Al-Nassr 7 8.4 3.0 +5.4 16
4 Al Kholood 7 10.9 7.3 +3.6 12
5 Al-Ahli Jeddah 7 4.2 2.4 +1.8 12
6 Al-Ittihad FC 7 8.1 6.4 +1.7 17
7 Al-Ettifaq 7 6.7 5.7 +1.0 11
8 Al Diriyah 7 3.7 2.9 +0.8 11
9 Al Taawon 7 5.8 5.4 +0.4 3
10 NEOM 7 6.0 6.1 -0.1 15
11 Al Shabab 7 6.8 7.6 -0.8 4
12 Al-Fateh 7 4.5 6.9 -2.4 3
13 Al-Hazm 7 3.3 6.0 -2.7 8
14 Al Khaleej Saihat 7 4.2 7.2 -3.0 5
15 Abha 7 4.4 8.2 -3.8 2
16 Al Riyadh 7 3.4 8.5 -5.1 8
17 Al-Faisaly FC 7 4.5 9.7 -5.2 3
18 Al-Fayha 7 5.0 10.8 -5.8 6