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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Pogon Szczecin
Lechia Gdansk
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: 2–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Cracovia
|
8 | 5 | 2 | 1 | +7 | +2.5 | 17 |
| 2 |
Wisla Plock
|
8 | 5 | 1 | 2 | +5 | +6.2 | 16 |
| 3 |
Jagiellonia
|
7 | 5 | 1 | 1 | +4 | -2.5 | 16 |
| 4 |
Gornik Zabrze
|
8 | 5 | 0 | 3 | +6 | -0.2 | 15 |
| 5 |
Korona Kielce
|
9 | 4 | 3 | 2 | +4 | -2.1 | 15 |
| 6 |
Lech Poznan
|
7 | 4 | 1 | 2 | +1 | +6.0 | 13 |
| 7 |
Legia
|
7 | 3 | 2 | 2 | +5 | +3.6 | 11 |
| 8 |
Radomiak Radom
|
9 | 3 | 2 | 4 | -1 | -0.1 | 11 |
| 9 |
Zaglebie
|
8 | 2 | 4 | 2 | +3 | -1.8 | 10 |
| 10 |
Widzew Lodz
|
8 | 3 | 1 | 4 | +2 | +2.2 | 10 |
| 11 |
Pogon Szczecin
|
8 | 3 | 1 | 4 | -3 | +2.0 | 10 |
| 12 |
Motor Lublin
|
8 | 2 | 4 | 2 | -3 | -1.0 | 10 |
| 13 |
Nieciecza
|
9 | 2 | 3 | 4 | -2 | -0.2 | 9 |
| 14 |
Arka Gdynia
|
9 | 2 | 3 | 4 | -5 | -3.8 | 9 |
| 15 |
Lechia Gdansk
|
8 | 2 | 2 | 4 | -5 | -2.9 | 8 |
| 16 |
Rakow
|
7 | 2 | 1 | 4 | -4 | -0.3 | 7 |
| 17 |
GKS Katowice
|
9 | 2 | 1 | 6 | -10 | -6.8 | 7 |
| 18 |
Piast Gliwice
|
7 | 0 | 4 | 3 | -4 | -0.7 | 4 |
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.
V. Cojocaru
G
L. Wahlqvist
D
F. Ulvestad
M
J. Bieganski
M
S. Greenwood
M
M. Juwara
F
K. Grosicki
F
Coach: Tomasz Grzegorczyk
A. Paulsen
G
C. Mena
M
B. Viunnyk
M
D. Kurminowski
F
Coach: John William Carver
Green columns are the outcomes that came in.
Korona Kielce
Pogon Szczecin
Pogon Szczecin
Rakow
Widzew Lodz
Pogon Szczecin
Pogon Szczecin
Gornik Zabrze
Arka Gdynia
Pogon Szczecin
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.