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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Lechia Gdansk
Zaglebie
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 |
Jagiellonia
|
3 | 3 | 0 | 0 | +5 | -1.0 | 9 |
| 2 |
Lech Poznan
|
4 | 2 | 1 | 1 | +3 | +2.0 | 7 |
| 3 |
Pogon Szczecin
|
4 | 2 | 1 | 1 | +3 | +0.7 | 7 |
| 4 |
Widzew Lodz
|
3 | 2 | 1 | 0 | +3 | -0.0 | 7 |
| 5 |
Piast Gliwice
|
3 | 2 | 1 | 0 | +3 | +1.3 | 7 |
| 6 |
Rakow
|
4 | 2 | 1 | 1 | +2 | +3.1 | 7 |
| 7 |
Cracovia
|
4 | 2 | 1 | 1 | +1 | -2.5 | 7 |
| 8 |
Gornik Zabrze
|
4 | 2 | 1 | 1 | +0 | -0.4 | 7 |
| 9 |
Legia
|
3 | 2 | 0 | 1 | +2 | +1.8 | 6 |
| 10 |
Motor Lublin
|
3 | 1 | 1 | 1 | +0 | +1.5 | 4 |
| 11 |
Zaglebie
|
3 | 1 | 1 | 1 | -1 | -1.7 | 4 |
| 12 |
Radomiak Radom
|
3 | 1 | 0 | 2 | -1 | +3.5 | 3 |
| 13 |
GKS Katowice
|
3 | 1 | 0 | 2 | -1 | -1.4 | 3 |
| 14 |
Slask Wroclaw
|
2 | 0 | 1 | 1 | -2 | +1.3 | 1 |
| 15 |
Puszcza
|
3 | 0 | 1 | 2 | -3 | -0.7 | 1 |
| 16 |
Lechia Gdansk
|
3 | 0 | 1 | 2 | -4 | -2.4 | 1 |
| 17 |
Stal Mielec
|
4 | 0 | 1 | 3 | -4 | -0.4 | 1 |
| 18 |
Korona Kielce
|
4 | 0 | 1 | 3 | -6 | -4.6 | 1 |
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. Piła
D
E. Olsson
D
Conrado
D
C. Mena
M
M. Khlan
M
T. Bobček
F
Coach: S. Grabowski
D. Hładun
G
M. Grzybek
D
I. Orlikowski
D
A. Ławniczak
D
D. Dąbrowski
M
T. Pieńko
M
M. Wdowiak
M
Coach: W. Fornalik
Green columns are the outcomes that came in.
Lech Poznan
Lechia Gdansk
Lechia Gdansk
Motor Lublin
Slask Wroclaw
Lechia Gdansk
Wisla
Lechia Gdansk
Piast Gliwice
Lechia Gdansk
P Raczkowski · 96 kamper i vår database
🟥 Red cards: 0,24 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.