Predictions / Football / Saudi-Arabia. Pro League / Abha vs Al-Ettifaq

Prediction Audit: Abha vs Al-Ettifaq Prediction, Odds & AI Betting Tips

Abha Abha
Sep 04, 2026 - 16:00
0 1.43
1 1.57
xG Accuracy: 58%
Al-Ettifaq Al-Ettifaq

AI correctly predicted the Al-Ettifaq win.

The match finished 0–1, validating the model's directional assessment.

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 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Al-Ettifaq Al-Ettifaq ✔ Correct
  • Correct Score Insights 1-1, 1-2, 2-1, 0-1, 1-0 0-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Abha higher than the statistical model.

Largest probability gap: Abha -5.4 pp

Outcome Model Closing Market Difference Signal
Abha 33.4% 38.8% -5.4 pp Market Higher
Draw 27.1% 25.3% +1.9 pp Aligned
Al-Ettifaq 39.5% 36.0% +3.5 pp Aligned

The closing market estimates Abha's win probability at 38.8%, compared with the model's estimate of 33.4%, a difference of 5.4 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 model's directional lean matched the result (Al-Ettifaq win 0–1).

Market Assessment

The market and model broadly agree on Abha. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

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

Post Match Insights

What worked

  • Exact score 0–1 fell within the model's highlighted bins

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 (1 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Al-Ettifaq higher (44.9% vs model 39.5%, 5.4 pp), but the model's lean was validated (Al-Ettifaq win 0–1).

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Prediction Timeline

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

  1. Sep 04, 2026 · 16:01 UTC Forecast generated
    • Model 1X2 · Abha 33.3% · Draw 27.2% · Al-Ettifaq 39.5%
    • xG · Abha 1.43 — Al-Ettifaq 1.57
  2. Sep 04, 2026 · 15:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Abha 2.46 · Draw 3.77 · Al-Ettifaq 2.65
    • Implied 1X2 · Abha 38.8% · Draw 25.3% · Al-Ettifaq 36.0%
    • Bookmaker · Pinnacle
  3. Sep 04, 2026 · 16:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Abha 2.46 · Draw 3.77 · Al-Ettifaq 2.65
    • Implied 1X2 · Abha 38.8% · Draw 25.3% · Al-Ettifaq 36.0%
    • Bookmaker · Pinnacle
  4. Sep 04, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Al-Ettifaq win · 0–1
  6. FT Prediction validated Directional lean matched 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 Validated
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 25/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 29, 2026 · 01:54 UTC Snapshot ID: dp-5913667

Closing Odds 2.46
AI Fair Odds —
CLV Pending
Final Result Al-Ettifaq win · Abha 0–1 Al-Ettifaq
Prediction ✔ Correct
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: Pro League
  • Fixture: Abha vs Al-Ettifaq
  • Kickoff: 2026-09-04 16:00:00
  • 1X2 (model): Home 33.3% · Draw 27.2% · Away 39.5%
  • xG (showing): Abha 1.43 — Al-Ettifaq 1.57 (total xG ≈ 3.0)
  • 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 42.3% · Over 2.5 57.7%); BTTS Yes (Yes 61.7% · No 38.3%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 61.7% · No 38.3%
  • Correct score (top bin): 1-1 (11.2%)

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: Monitor

Outcome: Validated — Pre-match lean validated against 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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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