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
Arka Gdynia
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 |
Wisla Plock
|
5 | 4 | 1 | 0 | +6 | +4.8 | 13 |
| 2 |
Gornik Zabrze
|
6 | 4 | 0 | 2 | +6 | -0.2 | 12 |
| 3 |
Cracovia
|
6 | 3 | 2 | 1 | +3 | +2.5 | 11 |
| 4 |
Jagiellonia
|
4 | 3 | 0 | 1 | +1 | -2.5 | 9 |
| 5 |
Radomiak Radom
|
6 | 2 | 2 | 2 | +2 | -0.1 | 8 |
| 6 |
Nieciecza
|
6 | 2 | 2 | 2 | +2 | -0.2 | 8 |
| 7 |
Korona Kielce
|
6 | 2 | 2 | 2 | +1 | -2.1 | 8 |
| 8 |
Legia
|
4 | 2 | 1 | 1 | +3 | +3.6 | 7 |
| 9 |
Widzew Lodz
|
6 | 2 | 1 | 3 | +1 | +2.2 | 7 |
| 10 |
Lech Poznan
|
4 | 2 | 1 | 1 | -1 | +3.4 | 7 |
| 11 |
Pogon Szczecin
|
6 | 2 | 1 | 3 | -4 | +2.0 | 7 |
| 12 |
Rakow
|
4 | 2 | 0 | 2 | -1 | -0.3 | 6 |
| 13 |
Zaglebie
|
4 | 1 | 2 | 1 | +3 | +2.2 | 5 |
| 14 |
Arka Gdynia
|
5 | 1 | 2 | 2 | -3 | -3.8 | 5 |
| 15 |
Motor Lublin
|
5 | 1 | 2 | 2 | -4 | -1.0 | 5 |
| 16 |
GKS Katowice
|
6 | 1 | 1 | 4 | -6 | -5.4 | 4 |
| 17 |
Piast Gliwice
|
4 | 0 | 2 | 2 | -3 | -0.7 | 2 |
| 18 |
Lechia Gdansk
|
5 | 0 | 2 | 3 | -6 | -4.3 | 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.
E. Olsson
D
M. Vojtko
D
C. Mena
M
B. Viunnyk
M
K. Sezonienko
M
T. Bobcek
F
Coach: John William Carver
S. Kerk
M
K. Jakubczyk
M
Coach: Dawid Szwarga
Green columns are the outcomes that came in.
Zaglebie
Lechia Gdansk
Lechia Gdansk
Motor Lublin
Cracovia
Lechia Gdansk
Lechia Gdansk
Lech Poznan
Gornik Zabrze
Lechia Gdansk
Paweł Raczkowski · 17 kamper i vår database
🟥 Red cards: 0,25 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.