AI correctly predicted the SpVgg Greuther Fürth win.
The match finished 3–4, 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 Over 2.5 Over 2.5 (7 matlamat) ✔ Betul
- Kedua-dua Pasukan Menjaringkan Gol BTTS Ya Ya ✔ Betul
- 1X2 SpVgg Greuther Fürth SpVgg Greuther Fürth ✔ Betul
- Cerapan skor tepat 1-1, 1-2, 0-1, 0-2, 2-1 3-4 ✖ tak betul
Model lwn Pasaran Penutup
| Hasil | Model | Menutup Pasaran | Perbezaan | isyarat |
|---|---|---|---|---|
| Energie Cottbus | 27.7% | 37.1% | -9.4 pp | Market Higher |
| Draw | 25.1% | 25.7% | -0.7 pp | Aligned |
| SpVgg Greuther Fürth | 47.3% | 37.2% | +10.1 pp | Model Edge |
The statistical model estimates SpVgg Greuther Fürth's win probability at 47.3%, compared with the closing market's implied probability of 37.2%, a difference of 10.1 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 (SpVgg Greuther Fürth win 3–4).
Market Assessment
The statistical fair estimate is materially higher than the market on SpVgg Greuther Fürth.
- The model may see a slower-scoring or closer matchup than the market.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 3.26) — 7 goals materialised
- SpVgg Greuther Fürth attacking xG significantly stronger (1.96 vs 1.30)
- Both Teams To Score (Yes) matched the full-time result
What failed
- 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 SpVgg Greuther Fürth more conservatively (37.2% vs model 47.3%, 10.1 pp), but the model's lean was validated (SpVgg Greuther Fürth win 3–4).
Garis Masa Ramalan
Cara ramalan ini beralih daripada ramalan kepada semakan sepenuh masa.
-
Aug 29, 2026 · 19:17 UTC Forecast generated
- Model 1X2 · Energie Cottbus 27.6% · Draw 25.0% · SpVgg Greuther Fürth 47.4%
- xG · Energie Cottbus 1.30 — SpVgg Greuther Fürth 1.96
-
Aug 29, 2026 · 10:33 UTC Opening odds snapshot PRE30
- 1X2 odds · Energie Cottbus 2.61 · Draw 3.76 · SpVgg Greuther Fürth 2.60
- Implied 1X2 · Energie Cottbus 37.1% · Draw 25.7% · SpVgg Greuther Fürth 37.2%
- Bookmaker · Pinnacle
-
Aug 29, 2026 · 11:02 UTC Closing snapshot recorded PRE1
- 1X2 odds · Energie Cottbus 2.61 · Draw 3.76 · SpVgg Greuther Fürth 2.60
- Implied 1X2 · Energie Cottbus 37.1% · Draw 25.7% · SpVgg Greuther Fürth 37.2%
- Bookmaker · Pinnacle
-
Aug 29, 2026 · 11:00 UTC Kickoff
-
FT Full-time result SpVgg Greuther Fürth win · 3–4
-
FT Prediction validated Directional lean matched full-time result
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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 (10 pp)
- Statistical edge detected
- Market has already priced much of the edge
- 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.
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Langgan Sekarang
2. Bundesliga — Kedudukan
| # | PASUKAN | P | M | S | K | Mata |
|---|---|---|---|---|---|---|
| 1 | 1. FC Nürnberg | 5 | 4 | 1 | 0 | 13 |
| 2 | Hertha BSC | 4 | 4 | 0 | 0 | 12 |
| 3 | 1. FC Magdeburg | 5 | 3 | 0 | 2 | 9 |
| 4 | 1. FC Heidenheim | 4 | 3 | 0 | 1 | 9 |
| 5 | VfL Wolfsburg | 5 | 2 | 2 | 1 | 8 |
| 6 | 1. FC Kaiserslautern | 5 | 2 | 2 | 1 | 8 |
| 7 | VfL Bochum | 5 | 2 | 1 | 2 | 7 |
| 8 | FC St. Pauli | 5 | 1 | 3 | 1 | 6 |
| 9 | VfL Osnabrück | 4 | 2 | 0 | 2 | 6 |
| 10 | SpVgg Greuther Fürth | 5 | 1 | 2 | 2 | 5 |
| 11 | Karlsruher SC | 4 | 1 | 2 | 1 | 5 |
| 12 | Eintracht Braunschweig | 5 | 1 | 1 | 3 | 4 |
| 13 | Energie Cottbus | 4 | 1 | 1 | 2 | 4 |
| 14 | Arminia Bielefeld | 5 | 1 | 1 | 3 | 4 |
| 15 | Hannover 96 | 5 | 1 | 1 | 3 | 4 |
| 16 | SV Darmstadt 98 | 5 | 1 | 1 | 3 | 4 |
| 17 | Dynamo Dresden | 5 | 1 | 1 | 3 | 4 |
| 18 | Holstein Kiel | 4 | 0 | 3 | 1 | 3 |
| # | PASUKAN | P | J | B | +/- | Mata |
|---|---|---|---|---|---|---|
| 1 | 1. FC Nürnberg | 5 | 15 | 6 | +9 | 13 |
| 2 | Hertha BSC | 4 | 12 | 5 | +7 | 12 |
| 3 | Eintracht Braunschweig | 5 | 12 | 12 | 0 | 4 |
| 4 | 1. FC Heidenheim | 4 | 11 | 10 | +1 | 9 |
| 5 | VfL Wolfsburg | 5 | 10 | 7 | +3 | 8 |
| 6 | 1. FC Magdeburg | 5 | 10 | 8 | +2 | 9 |
| 7 | Energie Cottbus | 4 | 10 | 12 | -2 | 4 |
| 8 | SpVgg Greuther Fürth | 5 | 8 | 10 | -2 | 5 |
| 9 | Arminia Bielefeld | 5 | 8 | 10 | -2 | 4 |
| 10 | FC St. Pauli | 5 | 7 | 7 | 0 | 6 |
| 11 | VfL Osnabrück | 4 | 7 | 8 | -1 | 6 |
| 12 | Dynamo Dresden | 5 | 7 | 12 | -5 | 4 |
| 13 | Karlsruher SC | 4 | 6 | 8 | -2 | 5 |
| 14 | Holstein Kiel | 4 | 6 | 8 | -2 | 3 |
| 15 | 1. FC Kaiserslautern | 5 | 5 | 4 | +1 | 8 |
| 16 | Hannover 96 | 5 | 5 | 8 | -3 | 4 |
| 17 | VfL Bochum | 5 | 4 | 4 | 0 | 7 |
| 18 | SV Darmstadt 98 | 5 | 4 | 8 | -4 | 4 |
| # | PASUKAN | P | xG | xGC | +/- | Mata |
|---|---|---|---|---|---|---|
| 1 | Arminia Bielefeld | 5 | 5.9 | 2.9 | +3.0 | 4 |
| 2 | Hannover 96 | 5 | 6.3 | 4.0 | +2.3 | 4 |
| 3 | VfL Wolfsburg | 5 | 6.0 | 3.7 | +2.3 | 8 |
| 4 | Hertha BSC | 4 | 7.5 | 5.6 | +1.9 | 12 |
| 5 | 1. FC Heidenheim | 4 | 7.7 | 6.0 | +1.7 | 9 |
| 6 | Holstein Kiel | 4 | 5.6 | 4.1 | +1.5 | 3 |
| 7 | FC St. Pauli | 5 | 5.7 | 4.3 | +1.4 | 6 |
| 8 | VfL Bochum | 5 | 3.8 | 2.6 | +1.2 | 7 |
| 9 | Eintracht Braunschweig | 5 | 9.4 | 8.5 | +0.9 | 4 |
| 10 | SpVgg Greuther Fürth | 5 | 6.9 | 7.0 | -0.1 | 5 |
| 11 | 1. FC Kaiserslautern | 5 | 2.6 | 3.2 | -0.6 | 8 |
| 12 | 1. FC Nürnberg | 5 | 4.2 | 5.2 | -1.0 | 13 |
| 13 | Karlsruher SC | 4 | 3.8 | 5.3 | -1.5 | 5 |
| 14 | VfL Osnabrück | 4 | 5.7 | 7.7 | -2.0 | 6 |
| 15 | SV Darmstadt 98 | 5 | 2.0 | 4.3 | -2.3 | 4 |
| 16 | Dynamo Dresden | 5 | 3.4 | 5.8 | -2.4 | 4 |
| 17 | 1. FC Magdeburg | 5 | 4.7 | 7.7 | -3.0 | 9 |
| 18 | Energie Cottbus | 4 | 5.0 | 8.3 | -3.3 | 4 |