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

Al-Hazm vs Al-Hilal Saudi FC Statistics & Analysis

May 02, 2026 - 18:00
0 0.78
3 2.32
xG Accuracy: 67%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Al-Hilal Saudi FC Al-Hilal Saudi FC ✔ Correct
  • Correct Score Insights 0-2 0-3 ✖ Incorrect

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-Hazm vs Al-Hilal Saudi FC
  • Kickoff: 2026-05-02 17:00:00
  • 1X2 (model): Home 9.8% · Draw 19.3% · Away 70.9%
  • xG (showing): Al-Hazm 0.78 — Al-Hilal Saudi FC 2.32 (total xG ≈ 3.1)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 40.1% · Implied: 29.1% · Probability edge: +11.0 pts · Est. EV: +36.3%
  • BTTS (model): Yes 49.9% · No 50.1%
  • Correct score (top bin): 0-2 (12.1%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

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

Best Bet + Reason

The engine’s headline primary is: Under 2.5 goals.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

Edges shrink quickly if prices move; always re-check the number on your book.

FAQ

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

Risk Factors

  • 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%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 17, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
Pro League Pro LeagueStandings
# TEAM MP W D L PTS
1 Al-Nassr 33 27 2 4 83
2 Al-Hilal Saudi FC 33 24 9 0 81
3 Al-Ahli Jeddah 33 24 6 3 78
4 Al-Qadisiyah FC 33 22 8 3 74
5 Al-Ittihad FC 32 16 7 9 55
6 Al Taawon 33 15 8 10 53
7 Al-Ettifaq 33 14 7 12 49
8 NEOM 33 12 8 13 44
9 Al-Hazm 33 10 9 14 39
10 Al-Fayha 33 10 8 15 38
11 Al Khaleej Saihat 33 10 7 16 37
12 Al-Fateh 33 9 9 15 36
13 Al Kholood 33 9 5 19 32
14 Al Shabab 32 7 11 14 32
15 Damac 33 6 11 16 29
16 Al Riyadh 33 6 9 18 27
17 Al Okhdood 33 5 5 23 20
18 Al Najma 33 2 7 24 13
# TEAM MP GS GC +/- PTS
1 Al-Nassr 33 87 27 +60 83
2 Al-Hilal Saudi FC 33 84 27 +57 81
3 Al-Qadisiyah FC 33 78 33 +45 74
4 Al-Ahli Jeddah 33 67 24 +43 78
5 Al Taawon 33 59 44 +15 53
6 Al Khaleej Saihat 33 53 58 -5 37
7 Al-Ittihad FC 32 52 40 +12 55
8 Al-Ettifaq 33 50 54 -4 49
9 NEOM 33 42 47 -5 44
10 Al-Fayha 33 41 53 -12 38
11 Al Shabab 32 41 54 -13 32
12 Al-Fateh 33 41 55 -14 36
13 Al Kholood 33 39 61 -22 32
14 Al-Hazm 33 36 57 -21 39
15 Al Riyadh 33 34 63 -29 27
16 Damac 33 31 51 -20 29
17 Al Najma 33 31 76 -45 13
18 Al Okhdood 33 27 69 -42 20
# TEAM MP xG xGC +/- PTS
1 Al-Nassr 33 65.9 24.9 +41.0 83
2 Al-Hilal Saudi FC 33 63.9 24.5 +39.4 81
3 Al-Ahli Jeddah 33 54.1 23.6 +30.5 78
4 Al-Qadisiyah FC 33 58.8 33.4 +25.4 74
5 Al-Ittihad FC 32 47.6 37.0 +10.6 55
6 NEOM 33 43.5 36.8 +6.7 44
7 Al Shabab 32 43.1 43.3 -0.2 32
8 Al Taawon 33 41.1 42.2 -1.1 53
9 Al Khaleej Saihat 33 39.8 41.3 -1.5 37
10 Al-Fateh 33 40.9 43.5 -2.6 36
11 Al-Fayha 33 33.1 42.3 -9.2 38
12 Al Riyadh 33 40.3 50.0 -9.7 27
13 Damac 33 24.2 37.4 -13.2 29
14 Al-Hazm 33 31.7 46.5 -14.8 39
15 Al Kholood 33 30.9 47.0 -16.1 32
16 Al-Ettifaq 33 38.4 54.9 -16.5 49
17 Al Najma 33 26.8 60.1 -33.3 13
18 Al Okhdood 33 25.0 60.7 -35.7 20