The model missed the final outcome (VfL Osnabrück win 0–1).
The model had projected VfL Bochum at 38.5%, but the full-time result went the other way.
Pasar terlacak vs hasil penuh waktu
Setiap baris membandingkan model pra-pertandingan dengan hasil penuh waktu.
- Pasar Ramalan Hasil Hasil
- Over / Under 2.5 Under 2.5 Under 2.5 (1 sasaran) ✔ Benar
- Kedua Tim Mencetak Skor BTTS Ya Tidak ✖ Salah
- 1X2 VfL Bochum VfL Osnabrück ✖ Salah
- Wawasan skor akurat 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ Benar
Model vs Pasar Penutupan
| Hasil | Model | Menutup Pasar | Perbedaan | Sinyal |
|---|---|---|---|---|
| VfL Bochum | 38.5% | 54.3% | -15.8 pp | Market Higher |
| Draw | 28.6% | 23.9% | +4.7 pp | Aligned |
| VfL Osnabrück | 32.9% | 21.8% | +11.1 pp | Model Edge |
The closing market estimates VfL Bochum's win probability at 54.3%, compared with the model's estimate of 38.5%, a difference of 15.8 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.
Setelah full time, hasilnya adalah VfL Osnabrück win 0–1.
Market Assessment
The market is materially more optimistic about VfL Bochum 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
- Under 2.5 goals aligned with the xG profile
- Exact score 0–1 fell within the model's highlighted bins
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- 1X2: model leaned VfL Bochum; match finished VfL Osnabrück
Market lesson
The closing market differed from the model on VfL Bochum by 15.8 percentage points (54.3% vs model 38.5%) — in this case the market view proved closer.
Garis Waktu Prediksi
Bagaimana prediksi ini berpindah dari perkiraan ke tinjauan penuh waktu.
-
Aug 28, 2026 · 19:18 UTC Forecast generated
- Model 1X2 · VfL Bochum 38.5% · Draw 28.6% · VfL Osnabrück 32.9%
- xG · VfL Bochum 1.24 — VfL Osnabrück 1.35
-
Aug 28, 2026 · 16:02 UTC Opening odds snapshot PRE30
- 1X2 odds · VfL Bochum 1.81 · Draw 4.00 · VfL Osnabrück 4.34
- Implied 1X2 · VfL Bochum 53.5% · Draw 24.2% · VfL Osnabrück 22.3%
- Bookmaker · Pinnacle
-
Aug 28, 2026 · 16:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · VfL Bochum 1.78 · Draw 4.04 · VfL Osnabrück 4.43
- Implied 1X2 · VfL Bochum 54.3% · Draw 23.9% · VfL Osnabrück 21.8%
- Bookmaker · Pinnacle
-
Aug 28, 2026 · 16:30 UTC Kickoff
-
FT Full-time result VfL Osnabrück win · 0–1
-
FT Prediction missed 1X2 lean did not match full-time result
-
Archived Prediction review
Cuplikan Sejarah
Dibekukan saat kickoff — keluaran model seperti sebelum pertandingan dimulai.
Metrik pra-pertandingan (konteks historis)
- 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%
Tinjau FAQ
- Seberapa akurat prediksinya?
- Halaman ini menilai pasar terarah (1X2, Atas/Bawah 2.5, BTTS) dibandingkan dengan hasil penuh waktu. Nilai prediksi mencerminkan seberapa banyak pasar yang dilacak tersebut sesuai dengan kenyataan.
- Apa yang diukur oleh Akurasi xG?
- Akurasi xG membandingkan profil gol yang diharapkan sebelum pertandingan dengan skor sebenarnya — bukan apakah setiap pasar berhasil. Tinjauan terarah yang kuat dapat dilakukan bersamaan dengan skor akurasi xG yang moderat.
- Mengapa skor pastinya tidak diprediksi?
- Hasil skor yang benar memiliki probabilitas yang rendah meskipun model membaca profil pertandingan dengan baik. Kami menyoroti kumpulan skor tertinggi untuk konteks; melewatkan garis yang tepat tidak membatalkan tinjauan terarah.
- Apakah ini meningkatkan rekor AI?
- Setiap kecocokan yang telah selesai dicatat dalam jalur validasi kami. Tingkat hit gabungan dan studi CLV dipublikasikan secara terpisah — halaman ini adalah jejak audit per pertandingan.
Prediksi hanya untuk tujuan informasi. Selalu bertaruh secara bertanggung jawab dan sesuai batas kemampuan Anda. Kinerja masa lalu tidak menjamin hasil di masa depan.
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Berlangganan Sekarang
2. Bundesliga — Klasemen
| # | TIM | Main | M | S | K | Poin |
|---|---|---|---|---|---|---|
| 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 |
| # | TIM | Main | Gol | Kebob | +/- | Poin |
|---|---|---|---|---|---|---|
| 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 |
| # | TIM | Main | xG | xGC | +/- | Poin |
|---|---|---|---|---|---|---|
| 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 |