Al Shabab vs Al Taawon Dự đoán, tỷ lệ cược & mẹo cá cược AI

May 03, 2026 - 16:00
1 2.04
5 1.41
xG Accuracy: 28%
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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
  • Trên / Dưới 2.5 Trên 2.5 Trên 2.5 (6 goals) ✔ Correct
  • Cả Hai Đội Đều Ghi Bàn BTTS Có ✔ Correct
  • 1X2 Al Shabab Al Taawon ✖ Incorrect
  • Thông tin tỷ số chính xác 2-1, 1-1, 2-0, 2-2, 1-0 1-5 ✖ Incorrect

Tóm tắt trận đấu AI

Tóm tắt trận đấu AI

Quick read on how the model reads this matchup.

  • League: Pro League
  • Fixture: Al Shabab vs Al Taawon
  • Kickoff: 2026-05-02 17:00:00
  • 1X2 (model): Home 51.0% · Draw 23.7% · Away 25.3%
  • xG (showing): Al Shabab 2.04 — Al Taawon 1.41 (total xG ≈ 3.45)
  • Primary / headline line (Betting Primary Pick when shown): Over 2.5 goals
  • Model: 67.0% · Implied: 56.1% · Probability edge: +10.9 pts · Est. EV: +15.2%
  • BTTS (model): Yes 66.9% · No 33.1%
  • Correct score (top bin): 2-1 (9.3%)

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.

Kèo tốt nhất và lý do

Primary angle highlighted on the page: Over 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.

Câu hỏi thường gặp

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.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

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.

Yếu tố rủi ro

  • 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%).

Phương pháp

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Narrative: Template sentence library with fixture-stable selection (no per-request LLM for this block).
  • Compliance: Educational framing only; not personalised advice.

Cập nhật lần cuối

May 01, 2026 (UTC)

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Quay lại Dự đoán
Pro League Pro LeagueBảng xếp hạng
# ĐỘI MP T H B 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 Okhdood 34 5 5 24 20
18 Al Najma 34 3 7 24 16
# ĐỘI 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 Okhdood 34 27 70 -43 20
# ĐỘI MP xG xGC +/- PTS
1 Al-Hilal Saudi FC 34 67.1 25.3 +41.8 84
2 Al-Nassr 34 67.0 25.7 +41.3 86
3 Al-Ahli Jeddah 34 57.5 25.4 +32.1 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 Khaleej Saihat 34 42.0 44.5 -2.5 37
9 Al Taawon 34 42.0 44.7 -2.7 53
10 Al-Fateh 34 41.1 44.8 -3.7 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 Kholood 34 32.9 48.7 -15.8 33
16 Al-Ettifaq 34 39.0 56.5 -17.5 50
17 Al Najma 34 28.1 61.0 -32.9 16
18 Al Okhdood 34 26.8 62.8 -36.0 20