Statistics / Football / Saudi-Arabia. Pro League / Al-Fateh vs Al Najma

Al-Fateh vs Al Najma Statistics & Analysis

Al-Fateh Al-Fateh
May 14, 2026 - 15:55
2 2.54
0 0.88
xG Accuracy: 68%
Al Najma Al Najma
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Tracked markets vs full-time result

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 No ✔ Correct
  • 1X2 Al-Fateh Al-Fateh ✔ Correct
  • Correct Score Insights 2-0, 2-1, 3-0, 1-0, 3-1 2-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 15:38 UTC Snapshot ID: dp-1469166

Closing Odds 5.37
AI Fair Odds —
CLV +0.0%
Final Result Al-Fateh win · Al-Fateh 2–0 Al Najma
Prediction ✔ Correct
Decision Grade A

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Al-Fateh (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Al-Fateh (1X2) by about 7.3 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Al-Fateh (1X2) 72.4 65.1 +7.3
Draw (1X2) 17.7 17.6 +0.1
Al Najma (1X2) 9.9 17.3 -7.5
Over 2.5 goals 66.4 68.4 -2.0
Under 2.5 goals 33.6 31.6 +2.0
What this means

In plain terms: the model lands near 72.4% on Al-Fateh (1X2), while the closing snapshot implied about 65.1%. The difference — about 7.3 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Al-Fateh (1X2) 1.43 1.43 0.0
Draw (1X2) 5.3 5.3 0.0
Al Najma (1X2) 5.37 5.37 0.0
Over 2.5 goals 1.37 1.37 0.0
Under 2.5 goals 2.96 2.96 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Pro League
  • Fixture: Al-Fateh vs Al Najma
  • Kickoff: 2026-05-13 17:00:00
  • 1X2 (model): Home 72.4% · Draw 17.7% · Away 9.9%
  • xG (showing): Al-Fateh 2.54 — Al Najma 0.88 (total xG ≈ 3.42)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS No
  • Model: 45.1% · Implied: 37.5% · Probability edge: +7.6 pts · Est. EV: +18.6%
  • BTTS (model): Yes 54.9% · No 45.1%
  • Correct score (top bin): 2-0 (10.6%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: Selective Lean - No Primary Bet

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 16, 2026 (UTC)

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Back to Statistics
Pro League Pro League — Standings
# TEAM MP W D L PTS
1 Al-Nassr 34 28 2 4 86
2 Al-Hilal Saudi FC 34 25 9 0 84
3 Al-Ahli Jeddah 34 25 6 3 81
4 Al-Qadisiyah FC 34 23 8 3 77
5 Al-Ittihad FC 34 16 7 11 55
6 Al Taawon 34 15 8 11 53
7 Al-Ettifaq 34 14 8 12 50
8 NEOM 34 12 9 13 45
9 Al-Hazm 34 11 9 14 42
10 Al-Fayha 34 10 8 16 38
11 Al-Fateh 34 9 10 15 37
12 Al Khaleej Saihat 34 10 7 17 37
13 Al Shabab 34 8 11 15 35
14 Al Kholood 34 9 6 19 33
15 Al Riyadh 34 7 9 18 30
16 Damac 34 6 11 17 29
17 Al Akhdoud 34 5 5 24 20
18 Al Najma 34 3 7 24 16
# TEAM MP GS GC +/- PTS
1 Al-Nassr 34 91 28 +63 86
2 Al-Hilal Saudi FC 34 85 27 +58 84
3 Al-Qadisiyah FC 34 83 34 +49 77
4 Al-Ahli Jeddah 34 71 25 +46 81
5 Al Taawon 34 59 46 +13 53
6 Al-Ittihad FC 34 55 48 +7 55
7 Al Khaleej Saihat 34 54 62 -8 37
8 Al-Ettifaq 34 51 55 -4 50
9 Al Shabab 34 44 57 -13 35
10 NEOM 34 43 48 -5 45
11 Al-Fayha 34 41 54 -13 38
12 Al-Fateh 34 41 55 -14 37
13 Al Kholood 34 39 61 -22 33
14 Al-Hazm 34 38 57 -19 42
15 Al Riyadh 34 35 63 -28 30
16 Damac 34 32 55 -23 29
17 Al Najma 34 32 76 -44 16
18 Al Akhdoud 34 27 70 -43 20
# TEAM MP xG xGC +/- PTS
1 Al-Nassr 34 69.8 26.0 +43.8 86
2 Al-Hilal Saudi FC 34 68.9 25.9 +43.0 84
3 Al-Ahli Jeddah 34 62.4 26.7 +35.7 81
4 Al-Qadisiyah FC 34 62.9 35.2 +27.7 77
5 Al-Ittihad FC 34 49.5 41.2 +8.3 55
6 NEOM 34 45.8 39.4 +6.4 45
7 Al Shabab 34 44.1 44.7 -0.6 35
8 Al Taawon 34 42.0 44.7 -2.7 53
9 Al Khaleej Saihat 34 42.6 46.3 -3.7 37
10 Al-Fateh 34 42.5 49.6 -7.1 37
11 Al Riyadh 34 41.4 50.5 -9.1 30
12 Al-Fayha 34 33.3 43.4 -10.1 38
13 Al-Hazm 34 34.1 47.4 -13.3 42
14 Damac 34 25.1 38.5 -13.4 29
15 Al-Ettifaq 34 39.0 56.5 -17.5 50
16 Al Kholood 34 33.2 51.5 -18.3 33
17 Al Najma 34 28.1 61.0 -32.9 16
18 Al Akhdoud 34 26.8 62.8 -36.0 20