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

Al Najma vs Al-Hazm Statistics & Analysis

Al Najma Al Najma
May 09, 2026 - 16:15
2 1.12
2 1.95
xG Accuracy: 77%
Al-Hazm Al-Hazm
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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 Over 2.5 Over 2.5 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Al-Hazm Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 0-1, 0-2, 1-3 2-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 06:59 UTC Snapshot ID: dp-1971359

Closing Odds 2.01
AI Fair Odds —
CLV +0.0%
Final Result Draw · Al Najma 2–2 Al-Hazm
Prediction ✖ Missed
Decision Grade C

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-Hazm (1X2), Over 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-Hazm (1X2) by about 8.7 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Al Najma (1X2) 20.2 27.2 -7.0
Draw (1X2) 24.5 26.2 -1.7
Al-Hazm (1X2) 55.3 46.6 +8.7
Over 2.5 goals 59.2 53.3 +5.9
Under 2.5 goals 40.8 46.7 -5.9
What this means

In plain terms: the model lands near 55.3% on Al-Hazm (1X2), while the closing snapshot implied about 46.6%. The difference — about 8.7 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 Najma (1X2) 3.44 3.44 0.0
Draw (1X2) 3.57 3.57 0.0
Al-Hazm (1X2) 2.01 2.01 0.0
Over 2.5 goals 1.77 1.77 0.0
Under 2.5 goals 2.02 2.02 0.0

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 Najma vs Al-Hazm
  • Kickoff: 2026-05-07 17:00:00
  • 1X2 (model): Home 20.2% · Draw 24.5% · Away 55.3%
  • xG (showing): Al Najma 1.12 — Al-Hazm 1.95 (total xG ≈ 3.07)
  • Primary / headline line (Betting Primary Pick when shown): Over 2.5 goals
  • Model: 59.2% · Implied: 55.1% · Probability edge: +4.1 pts · Est. EV: +6.6%
  • BTTS (model): Yes 59.1% · No 40.9%
  • Correct score (top bin): 1-1 (10.1%)

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

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

Historical Recommendation

Historical Decision: Primary Bet

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 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