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

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

Al-Nassr Al-Nassr
Aug 28, 2026 - 18:00
2 1.67
1 0.87
xG Accuracy: 88%
Al Taawon Al Taawon

AI correctly predicted the Al-Nassr win.

The match finished 2–1, 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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Al-Nassr Al-Nassr ✔ Correct
  • Correct Score Insights 1-0, 1-1, 2-0, 2-1, 0-0 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

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

Largest probability gap: Al-Nassr -14.0 pp

Outcome Model Closing Market Difference Signal
Al-Nassr 60.8% 74.8% -14.0 pp Market Higher
Draw 23.5% 14.8% +8.7 pp Model Higher
Al Taawon 15.7% 10.4% +5.3 pp Model Higher

The closing market estimates Al-Nassr's win probability at 74.8%, compared with the model's estimate of 60.8%, a difference of 14.0 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-Nassr win 2–1).

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

  • Expected goals projected a high-scoring match (ΣxG 2.54) — 3 goals materialised
  • Al-Nassr attacking xG significantly stronger (1.67 vs 0.87)
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Al-Nassr higher (74.8% vs model 60.8%, 14.0 pp), but the model's lean was validated (Al-Nassr win 2–1).

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Prediction Timeline

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

  1. Aug 28, 2026 · 19:28 UTC Forecast generated
    • Model 1X2 · Al-Nassr 60.7% · Draw 23.6% · Al Taawon 15.8%
    • xG · Al-Nassr 1.67 — Al Taawon 0.87
  2. Aug 28, 2026 · 17:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · Al-Nassr 1.30 · Draw 6.03 · Al Taawon 8.31
    • Implied 1X2 · Al-Nassr 72.9% · Draw 15.7% · Al Taawon 11.4%
    • Bookmaker · Pinnacle
  3. Aug 28, 2026 · 18:02 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Al-Nassr 1.26 · Draw 6.35 · Al Taawon 9.04
    • Implied 1X2 · Al-Nassr 74.8% · Draw 14.8% · Al Taawon 10.4%
    • Bookmaker · Pinnacle
  4. Aug 28, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Al-Nassr win · 2–1
  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 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) 30/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 22, 2026 · 03:41 UTC Snapshot ID: dp-4941745

Closing Odds 1.26
AI Fair Odds —
CLV Pending
Final Result Al-Nassr win · Al-Nassr 2–1 Al Taawon
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Pro League
  • Fixture: Al-Nassr vs Al Taawon
  • Kickoff: 2026-08-28 18:00:00
  • 1X2 (model): Home 60.7% · Draw 23.6% · Away 15.8%
  • xG (showing): Al-Nassr 1.67 — Al Taawon 0.87 (total xG ≈ 2.54)
  • 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 53.4% · Over 2.5 46.6%); BTTS No (Yes 48.7% · No 51.3%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 48.7% · No 51.3%
  • Correct score (top bin): 1-0 (13.2%)

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.

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 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