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

Al-Hazm vs Al Taawon Prediction, Odds & AI Betting Tips

Al-Hazm Al-Hazm
May 21, 2026 - 17:00
1.23
1.66
27% 27% 46%
Al Taawon Al Taawon
Betting Primary Pick (highest +EV)
Under 2.5 — Value
EV 19.6% Model 44.8%
Not a dominant outcome (model probability is below 50% on this leg).
Why The model prices Under 2.5 goals about 9.3 percentage points above closing implied — the main structural read vs. the line.

Market intelligence

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

Market briefing

The largest late implied swing on this feed was about 3.94 percentage points on Over 2.5 goals between PRE30 and PRE1.

The model still exceeds closing implied on Under 2.5 goals by about 9.3 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Al-Hazm (1X2) 26.9 19.4 +7.5
Draw (1X2) 27.2 20.6 +6.6
Al Taawon (1X2) 45.9 60.0 -14.1
Over 2.5 goals 55.2 64.5 -9.3
Under 2.5 goals 44.8 35.5 +9.3
What this means

In plain terms: the model lands near 44.8% on Under 2.5 goals, while the closing snapshot implied about 35.5%. The difference — about 9.3 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.

Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Al-Hazm (1X2) 4.48 4.89 -1.8
Draw (1X2) 4.25 4.6 -1.7
Al Taawon (1X2) 1.68 1.58 +3.5
Over 2.5 goals 1.57 1.47 +3.9
Under 2.5 goals 2.41 2.67 -3.9
1X2 Lean
Al Taawon · Model 45.9%
implied 60.0%
EV: -15.7%
Best line EV (1X2) 1.3%
Both Teams To Score Poor value
Yes 58.8% · No 41.2%
EV Yes -4.74% · EV No -1.12%
Value lean: BTTS No
Correct Score Insights Longshot / fun
Most Likely
1-1
Probability 11.3%
Correct score is high-variance — small stakes for fun only.
Betting decision (model vs. market EV)
Value opportunity — At least one market shows estimated +EV at current best decimal odds (threshold: 2.0%).
Decision strength: 6.0 / 10
  • Primary line identified (+1.0)
  • Primary EV above 10% (+1.0)
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
O/U 2.5: EV Over -16.1% · EV Under 19.62% (11 book pairs)
BTTS: EV Yes -4.74% · EV No -1.12%
Should you bet on this match? Only where +EV is shown; always compare with your own limits.
OddsGPT Decision Engine v2.1.0(EV + Market Structure + Risk Adjustment) Check Odds at 1xBet

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 Taawon
  • Kickoff: 2026-05-21 17:00:00
  • 1X2 (model): Home 26.9% · Draw 27.2% · Away 45.9%
  • xG (showing): Al-Hazm 1.23 — Al Taawon 1.66 (total xG ≈ 2.89)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 44.8% · Implied: 40.2% · Probability edge: +4.6 pts · Est. EV: +9.8%
  • BTTS (model): Yes 58.8% · No 41.2%
  • Correct score (top bin): 1-1 (11.3%)

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

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.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

No pick is a guarantee; variance is especially large in scoreline markets.

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.

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.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

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)

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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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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