Ekstraklasa
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Zaglebie
GKS Katowice
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Lech Poznan
|
7 | 5 | 1 | 1 | +8 | +1.3 | 16 |
| 2 |
Piast Gliwice
|
7 | 4 | 2 | 1 | +3 | +0.6 | 14 |
| 3 |
Cracovia
|
6 | 4 | 1 | 1 | +4 | -2.2 | 13 |
| 4 |
Legia
|
6 | 3 | 2 | 1 | +5 | +2.6 | 11 |
| 5 |
Widzew Lodz
|
6 | 3 | 2 | 1 | +2 | -1.6 | 11 |
| 6 |
Rakow
|
7 | 3 | 2 | 2 | +2 | +3.7 | 11 |
| 7 |
Pogon Szczecin
|
6 | 3 | 1 | 2 | +3 | +3.0 | 10 |
| 8 |
Jagiellonia
|
5 | 3 | 0 | 2 | +1 | +0.0 | 9 |
| 9 |
GKS Katowice
|
6 | 2 | 2 | 2 | +1 | -3.0 | 8 |
| 10 |
Gornik Zabrze
|
6 | 2 | 2 | 2 | -1 | -1.3 | 8 |
| 11 |
Puszcza
|
7 | 1 | 4 | 2 | +0 | +1.2 | 7 |
| 12 |
Motor Lublin
|
5 | 1 | 3 | 1 | +0 | +0.8 | 6 |
| 13 |
Korona Kielce
|
7 | 1 | 3 | 3 | -5 | -4.7 | 6 |
| 14 |
Zaglebie
|
6 | 1 | 2 | 3 | -3 | +0.4 | 5 |
| 15 |
Slask Wroclaw
|
5 | 0 | 4 | 1 | -2 | +2.9 | 4 |
| 16 |
Stal Mielec
|
7 | 1 | 1 | 5 | -5 | +0.1 | 4 |
| 17 |
Radomiak Radom
|
5 | 1 | 0 | 4 | -5 | -0.8 | 3 |
| 18 |
Lechia Gdansk
|
6 | 0 | 2 | 4 | -8 | -3.4 | 2 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
D. Hładun
G
M. Grzybek
D
I. Orlikowski
D
A. Ławniczak
D
D. Dąbrowski
M
T. Pieńko
M
K. Szmyt
M
Coach: W. Fornalik
A. Jędrych
D
L. Klemenz
D
M. Wasielewski
M
M. Kowalczyk
M
O. Repka
M
B. Nowak
F
A. Zreľák
F
Coach: R. Górak
Green columns are the outcomes that came in.
Piast Gliwice
Zaglebie
Zaglebie
Lech Poznan
Lechia Gdansk
Zaglebie
Zaglebie
Puszcza
Zaglebie
Pogon Szczecin
W Myć · 62 kamper i vår database
🟥 Red cards: 0,09 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.