AI correctly predicted the Panevėžys win.
The match finished 0–3, 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 (3 matlamat) ✖ tak betul
- Kedua-dua Pasukan Menjaringkan Gol BTTS Ya Tidak ✖ tak betul
- 1X2 Panevėžys Panevėžys ✔ Betul
- Cerapan skor tepat 1-1, 0-1, 1-0, 1-2, 2-1 0-3 ✖ tak betul
Model lwn Pasaran Penutup
| Hasil | Model | Menutup Pasaran | Perbezaan | isyarat |
|---|---|---|---|---|
| Banga | 34.7% | 50.7% | -16.0 pp | Market Higher |
| Draw | 29.6% | 28.7% | +0.9 pp | Aligned |
| Panevėžys | 35.6% | 20.5% | +15.1 pp | Model Edge |
The closing market estimates Banga's win probability at 50.7%, compared with the model's estimate of 34.7%, a difference of 16.0 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 (Panevėžys win 0–3).
Market Assessment
The market is materially more optimistic about Banga 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) — 3 goals materialised
What failed
- Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Panevėžys higher (51.6% vs model 35.6%, 16.0 pp), but the model's lean was validated (Panevėžys win 0–3).
Garis Masa Ramalan
Cara ramalan ini beralih daripada ramalan kepada semakan sepenuh masa.
-
Sep 03, 2026 · 15:59 UTC Forecast generated
- Model 1X2 · Banga 34.7% · Draw 29.7% · Panevėžys 35.6%
- xG · Banga 1.29 — Panevėžys 1.31
-
Sep 03, 2026 · 15:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Banga 1.83 · Draw 3.23 · Panevėžys 4.52
- Implied 1X2 · Banga 50.7% · Draw 28.7% · Panevėžys 20.5%
- Bookmaker · Pinnacle
-
Sep 03, 2026 · 15:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Banga 1.83 · Draw 3.23 · Panevėžys 4.52
- Implied 1X2 · Banga 50.7% · Draw 28.7% · Panevėžys 20.5%
- Bookmaker · Pinnacle
-
Sep 03, 2026 · 16:00 UTC Kickoff
-
FT Full-time result Panevėžys win · 0–3
-
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.
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Langgan Sekarang
A Lyga Lithuania — Kedudukan
| # | PASUKAN | P | M | S | K | Mata |
|---|---|---|---|---|---|---|
| 1 | Kauno Žalgiris | 28 | 14 | 9 | 5 | 51 |
| 2 | Sūduva Marijampolė | 28 | 13 | 11 | 4 | 50 |
| 3 | TransINVEST Vilnius | 28 | 13 | 6 | 9 | 45 |
| 4 | FK Žalgiris Vilnius | 28 | 13 | 5 | 10 | 44 |
| 5 | Banga | 28 | 11 | 8 | 9 | 41 |
| 6 | Džiugas Telšiai | 28 | 10 | 8 | 10 | 38 |
| 7 | Panevėžys | 28 | 9 | 5 | 14 | 32 |
| 8 | Hegelmann Litauen | 29 | 4 | 14 | 11 | 26 |
| 9 | Šiauliai | 29 | 3 | 8 | 18 | 17 |
| 10 | FK Trakai | 0 | 0 | 0 | 0 | 0 |
| # | PASUKAN | P | J | B | +/- | Mata |
|---|---|---|---|---|---|---|
| 1 | Kauno Žalgiris | 28 | 56 | 20 | +36 | 51 |
| 2 | TransINVEST Vilnius | 28 | 43 | 35 | +8 | 45 |
| 3 | FK Žalgiris Vilnius | 28 | 41 | 34 | +7 | 44 |
| 4 | Sūduva Marijampolė | 28 | 39 | 25 | +14 | 50 |
| 5 | Džiugas Telšiai | 28 | 36 | 40 | -4 | 38 |
| 6 | Banga | 28 | 32 | 28 | +4 | 41 |
| 7 | Hegelmann Litauen | 29 | 31 | 48 | -17 | 26 |
| 8 | Panevėžys | 28 | 29 | 43 | -14 | 32 |
| 9 | Šiauliai | 29 | 24 | 58 | -34 | 17 |
| 10 | FK Trakai | 0 | 0 | 0 | 0 | 0 |