AI correctly predicted the Al Shamal win.
The match finished 4–2, validating the model's directional assessment.
Pasaran yang dijejaki vs hasil sepenuh masa
Setiap baris membandingkan model pra-perlawanan lean dengan keputusan sepenuh masa.
- Pasaran Ramalan Hasilnya Hasil
- Over / Under 2.5 Under 2.5 Over 2.5 (6 matlamat) ✖ tak betul
- Kedua-dua Pasukan Menjaringkan Gol BTTS Ya Ya ✔ Betul
- 1X2 Al Shamal Al Shamal ✔ Betul
- Cerapan skor tepat 1-1, 1-0, 0-1, 2-1, 1-2 4-2 ✖ tak betul
Model lwn Pasaran Penutup
| Hasil | Model | Menutup Pasaran | Perbezaan | isyarat |
|---|---|---|---|---|
| Al Shamal | 39.9% | 56.4% | -16.5 pp | Market Higher |
| Draw | 29.5% | 22.9% | +6.5 pp | Model Higher |
| Al Shahaniya | 30.6% | 20.6% | +9.9 pp | Model Higher |
The closing market estimates Al Shamal's win probability at 56.4%, compared with the model's estimate of 39.9%, a difference of 16.5 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.
Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.
Selepas sepenuh masa, lean arah model sepadan dengan keputusan (Al Shamal win 4–2).
Market Assessment
The market is materially more optimistic about Al Shamal than the current fair estimate.
- Investors may be incorporating information not fully reflected in the baseline model.
- Tournament-specific context can shift market pricing.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised
- Both Teams To Score (Yes) matched the full-time result
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)
- Exact score: outside the model's top score bins
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Al Shamal higher (56.4% vs model 39.9%, 16.5 pp), but the model's lean was validated (Al Shamal win 4–2).
Garis Masa Ramalan
Cara ramalan ini beralih daripada ramalan kepada semakan sepenuh masa.
-
Sep 04, 2026 · 13:59 UTC Forecast generated
- Model 1X2 · Al Shamal 40.0% · Draw 29.5% · Al Shahaniya 30.6%
- xG · Al Shamal 1.40 — Al Shahaniya 1.20
-
Sep 04, 2026 · 13:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Al Shamal 1.68 · Draw 4.13 · Al Shahaniya 4.59
- Implied 1X2 · Al Shamal 56.4% · Draw 22.9% · Al Shahaniya 20.6%
- Bookmaker · Pinnacle
-
Sep 04, 2026 · 13:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Al Shamal 1.68 · Draw 4.13 · Al Shahaniya 4.59
- Implied 1X2 · Al Shamal 56.4% · Draw 22.9% · Al Shahaniya 20.6%
- Bookmaker · Pinnacle
-
Sep 04, 2026 · 14:00 UTC Kickoff
-
FT Full-time result Al Shamal win · 4–2
-
FT Prediction validated Directional lean matched full-time result
-
Archived Prediction review
Gambar Sejarah
Dibekukan pada sepak mula — keluaran model seperti sebelum perlawanan bermula.
Metrik pra-padanan (konteks sejarah)
- Validation: Warning
- Large market gap (16 pp)
- No strong statistical edge
- Pricing remains divergent
- Validation warning
Validation Report
Immutable SnapshotModel Performance
This prediction contributes to:
- Primary Bets ROI (180d): -100.0%
Semakan Soalan Lazim
- Sejauh manakah ramalan itu tepat?
- Halaman ini menilai pasaran berarah (1X2, Lebih/Bawah 2.5, BTTS) berbanding keputusan sepenuh masa. Gred ramalan menggambarkan bilangan pasaran yang dijejaki itu sepadan dengan realiti.
- Apakah ukuran Ketepatan xG?
- Ketepatan xG membandingkan profil matlamat jangkaan pra-perlawanan model dengan garis skor sebenar — bukan sama ada setiap pasaran mencecah. Semakan arah yang kukuh boleh wujud bersama dengan skor ketepatan xG yang sederhana.
- Mengapakah skor tepat tidak diramalkan?
- Hasil skor betul ialah ekor berkemungkinan rendah walaupun model membaca profil padanan dengan baik. Kami menyerlahkan tong skor tertinggi untuk konteks; kehilangan baris tepat tidak membatalkan semakan arah.
- Adakah ini meningkatkan rekod AI?
- Setiap perlawanan selesai dilog masuk dalam saluran paip pengesahan kami. Kadar hit teragregat dan kajian CLV diterbitkan secara berasingan — halaman ini ialah jejak audit setiap perlawanan.
Ramalan adalah untuk tujuan maklumat sahaja. Sentiasa berjudi dengan penuh tanggungjawab dan dalam had anda. Prestasi masa lalu tidak menjamin hasil masa depan.
Terokai Kandungan Ramalan Lain
Dapatkan Ramalan Premium untuk Al Shamal & Al Shahaniya!
Buka analisis mendalam, tip pertaruhan eksklusif, dan ramalan perlawanan dengan perkhidmatan langganan premium kami.
Langgan Sekarang
Qatar Stars League — Kedudukan
| # | PASUKAN | P | M | S | K | Mata |
|---|---|---|---|---|---|---|
| 1 | Al Sadd | 3 | 3 | 0 | 0 | 9 |
| 2 | Al Shamal | 3 | 2 | 1 | 0 | 7 |
| 3 | Al-Rayyan SC | 3 | 2 | 1 | 0 | 7 |
| 4 | Al-Arabi SC | 3 | 1 | 2 | 0 | 5 |
| 5 | Al-Duhail SC | 3 | 1 | 2 | 0 | 5 |
| 6 | Lusail City | 3 | 1 | 1 | 1 | 4 |
| 7 | Al Ahli Doha | 3 | 1 | 1 | 1 | 4 |
| 8 | Al Shahaniya | 3 | 1 | 0 | 2 | 3 |
| 9 | Al-Gharafa | 3 | 1 | 0 | 2 | 3 |
| 10 | Qatar SC | 3 | 0 | 1 | 2 | 1 |
| 11 | Al Wakrah | 3 | 0 | 1 | 2 | 1 |
| 12 | Al-Sailiya | 3 | 0 | 0 | 3 | 0 |
| # | PASUKAN | P | J | B | +/- | Mata |
|---|---|---|---|---|---|---|
| 1 | Al Sadd | 3 | 13 | 4 | +9 | 9 |
| 2 | Al Shamal | 3 | 9 | 5 | +4 | 7 |
| 3 | Lusail City | 3 | 7 | 4 | +3 | 4 |
| 4 | Al Shahaniya | 3 | 6 | 8 | -2 | 3 |
| 5 | Al-Arabi SC | 3 | 5 | 3 | +2 | 5 |
| 6 | Al Ahli Doha | 3 | 5 | 6 | -1 | 4 |
| 7 | Al-Rayyan SC | 3 | 4 | 2 | +2 | 7 |
| 8 | Al-Duhail SC | 3 | 4 | 2 | +2 | 5 |
| 9 | Al-Gharafa | 3 | 4 | 8 | -4 | 3 |
| 10 | Qatar SC | 3 | 4 | 9 | -5 | 1 |
| 11 | Al Wakrah | 3 | 3 | 8 | -5 | 1 |
| 12 | Al-Sailiya | 3 | 2 | 7 | -5 | 0 |
