Predictions / Football / Saudi-Arabia. Pro League / Al Khaleej Saihat vs Al-Nassr

Prediction Audit: Al Khaleej Saihat vs Al-Nassr Prediction, Odds & AI Betting Tips

Sep 12, 2026 - 18:00
1 0.61
1 1.75
xG Accuracy: 73%

The model missed the final outcome (Draw 1–1).

The model had projected Al-Nassr at 63.7%, 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 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Al-Nassr Draw ✖ Incorrect
  • Correct Score Insights 0-1, 0-2, 1-1, 0-0, 1-2 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

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

Largest probability gap: Al-Nassr -10.2 pp

Outcome Model Closing Market Difference Signal
Al Khaleej Saihat 11.1% 10.9% +0.2 pp Aligned
Draw 25.2% 15.2% +10.0 pp Model Higher
Al-Nassr 63.7% 73.9% -10.2 pp Market Higher

The closing market estimates Al-Nassr's win probability at 73.9%, compared with the model's estimate of 63.7%, a difference of 10.2 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 Draw 1–1.

Market Assessment

The market is materially more optimistic about Al-Nassr 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

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • 1X2: model leaned Al-Nassr; match finished Draw

Market lesson

The closing market differed from the model on Al-Nassr by 10.2 percentage points (73.9% vs model 63.7%) — 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 12, 2026 · 18:03 UTC Forecast generated
    • Model 1X2 · Al Khaleej Saihat 11.1% · Draw 25.2% · Al-Nassr 63.7%
    • xG · Al Khaleej Saihat 0.61 — Al-Nassr 1.75
  2. Sep 12, 2026 · 17:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · Al Khaleej Saihat 8.57 · Draw 6.18 · Al-Nassr 1.27
    • Implied 1X2 · Al Khaleej Saihat 10.9% · Draw 15.2% · Al-Nassr 73.9%
    • Bookmaker · Pinnacle
  3. Sep 12, 2026 · 18:03 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Al Khaleej Saihat 8.57 · Draw 6.18 · Al-Nassr 1.27
    • Implied 1X2 · Al Khaleej Saihat 10.9% · Draw 15.2% · Al-Nassr 73.9%
    • Bookmaker · Pinnacle
  4. Sep 12, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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 58/100 · Moderate
  • Validation: Warning
  • Large market gap (10 pp)
Evidence ★★★★★
  • Strong model lean
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 49/100
Betting Confidence 46/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 02:54 UTC Snapshot ID: dp-7467780

Closing Odds 1.27
AI Fair Odds —
CLV Pending
Final Result Draw · Al Khaleej Saihat 1–1 Al-Nassr
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

Quick read on how the model reads this matchup.

  • League: Pro League
  • Fixture: Al Khaleej Saihat vs Al-Nassr
  • Kickoff: 2026-09-12 18:00:00
  • 1X2 (model): Home 11.1% · Draw 25.2% · Away 63.7%
  • xG (showing): Al Khaleej Saihat 0.61 — Al-Nassr 1.75 (total xG ≈ 2.36)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 58.0% · Implied: 32.5% · Probability edge: +25.5 pts · Est. EV: +88.5%
  • BTTS (model): Yes 39.0% · No 61.0%
  • Correct score (top bin): 0-1 (16.5%)

Totals and BTTS are evaluated against current market prices where available.

Correct score remains high-variance even when a line is most likely on paper.

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