Predictions / Football / Saudi-Arabia. Pro League / Al Okhdood vs Al-Ettifaq

Al Okhdood vs Al-Ettifaq Prediction, Odds & AI Betting Tips

Al Okhdood Al Okhdood
Apr 30, 2026 - 16:00
1 1.16
3 1.63
xG Accuracy: 66%
Al-Ettifaq Al-Ettifaq
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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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Al-Ettifaq Al-Ettifaq ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 0-2, 1-0 1-3 ✖ Incorrect

Next AI Predictions Available Today

View Today's Football Predictions See Upcoming Pro League Matches Track Al Okhdood Next Match Prediction Track Al-Ettifaq Next Match Prediction

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 Okhdood vs Al-Ettifaq
  • Kickoff: 2026-04-30 16:00:00
  • 1X2 (model): Home 25.7% · Draw 27.6% · Away 46.8%
  • xG (showing): Al Okhdood 1.16 — Al-Ettifaq 1.63 (total xG ≈ 2.79)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 47.2% · Implied: 41.8% · Probability edge: +5.4 pts · Est. EV: +12.3%
  • BTTS (model): Yes 56.7% · No 43.3%
  • Correct score (top bin): 1-1 (11.6%)

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

Early match state can move realised goals away from pre-kick projections.

Best Bet + Reason

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

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

When several markets sit near +EV, keep stakes small — correlation means edges do not add cleanly.

FAQ

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

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.

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.

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.

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 21, 2026 (UTC)

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Pro League Pro League — Standings
# 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 34 25 6 3 81
4 Al-Qadisiyah FC 33 22 8 3 74
5 Al-Ittihad FC 33 16 7 10 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 34 10 7 17 37
12 Al-Fateh 33 9 9 15 36
13 Al Shabab 34 8 11 15 35
14 Al Kholood 33 9 5 19 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 34 3 7 24 16
# 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 34 71 25 +46 81
5 Al Taawon 33 59 44 +15 53
6 Al-Ittihad FC 33 54 43 +11 55
7 Al Khaleej Saihat 34 54 62 -8 37
8 Al-Ettifaq 33 50 54 -4 49
9 Al Shabab 34 44 57 -13 35
10 NEOM 33 42 47 -5 44
11 Al-Fayha 33 41 53 -12 38
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 Al Najma 34 32 76 -44 16
17 Damac 33 31 51 -20 29
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 66.0 25.1 +40.9 81
3 Al-Ahli Jeddah 34 55.6 24.3 +31.3 81
4 Al-Qadisiyah FC 33 58.8 33.4 +25.4 74
5 Al-Ittihad FC 33 47.6 37.0 +10.6 55
6 NEOM 33 44.2 38.9 +5.3 44
7 Al Shabab 34 43.1 43.3 -0.2 35
8 Al Taawon 33 41.1 42.2 -1.1 53
9 Al Khaleej Saihat 34 40.9 42.6 -1.7 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-Ettifaq 33 38.4 54.9 -16.5 49
16 Al Kholood 33 31.6 48.5 -16.9 32
17 Al Najma 34 26.8 60.1 -33.3 16
18 Al Okhdood 33 26.3 61.8 -35.5 20
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