Ekstraklasa
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Wisla
Slask Wroclaw
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Gornik Zabrze
|
8 | 7 | 0 | 1 | +8 | +2.3 | 21 |
| 2 |
Legia
|
8 | 4 | 4 | 0 | +9 | +4.6 | 16 |
| 3 |
Lech Poznan
|
7 | 5 | 1 | 1 | +6 | +6.4 | 16 |
| 4 |
Zaglebie
|
8 | 4 | 3 | 1 | +3 | -0.2 | 15 |
| 5 |
Wisla
|
8 | 4 | 2 | 2 | +4 | +4.5 | 14 |
| 6 |
Piast Gliwice
|
8 | 4 | 1 | 3 | +2 | -4.8 | 13 |
| 7 |
Pogon Szczecin
|
7 | 3 | 3 | 1 | +5 | -1.1 | 12 |
| 8 |
Jagiellonia
|
7 | 4 | 0 | 3 | +1 | +1.9 | 12 |
| 9 |
Korona Kielce
|
8 | 3 | 3 | 2 | +1 | -3.6 | 12 |
| 10 |
GKS Katowice
|
7 | 3 | 0 | 4 | +2 | -1.3 | 9 |
| 11 |
Widzew Lodz
|
9 | 1 | 6 | 2 | +0 | -0.2 | 9 |
| 12 |
Cracovia
|
8 | 2 | 2 | 4 | -4 | +3.2 | 8 |
| 13 |
Wisla Plock
|
7 | 2 | 2 | 3 | -5 | -0.9 | 8 |
| 14 |
Radomiak Radom
|
8 | 2 | 2 | 4 | -9 | -2.4 | 8 |
| 15 |
Slask Wroclaw
|
8 | 1 | 3 | 4 | -3 | -0.1 | 6 |
| 16 |
Wieczysta Krakow
|
8 | 1 | 2 | 5 | -6 | -0.9 | 5 |
| 17 |
Motor Lublin
|
8 | 1 | 2 | 5 | -6 | -1.0 | 5 |
| 18 |
Rakow
|
8 | 1 | 0 | 7 | -8 | -6.5 | 3 |
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.
M. Łubik
G
R. Giger
D
A. Uryga
D
D. Grujčić
D
J. Krzyżanowski
D
É. Youan
M
K. Duda
M
J. Ertlthaler
M
J. Igbekeme
M
M. Božić
M
Ángel Rodado
F
Coach: M. Jop
K. Niemczycki
G
A. Timossi Andersson
D
E. Matsenko
D
L. Ba
D
M. Malec
D
Jan Jurčec
D
Dall'Oca
M
J. Yriarte
M
K. Linetty
M
M. Dembélé
F
Ieltsin Camões
F
Coach: A. Šimundža
Green columns are the outcomes that came in.
Wisla
Jagiellonia
Korona Kielce
Wisla
Odra Opole
Wisla
Wisla
Wieczysta Krakow
Pogon Szczecin
Wisla
L Kuzma · 78 kamper i vår database
🟥 Red cards: 0,21 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.