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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Lech Poznan
Motor Lublin
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Lech Poznan
|
10 | 8 | 1 | 1 | +15 | +4.8 | 25 |
| 2 |
Rakow
|
11 | 7 | 2 | 2 | +11 | +8.1 | 23 |
| 3 |
Jagiellonia
|
10 | 7 | 0 | 3 | +1 | -1.0 | 21 |
| 4 |
Cracovia
|
10 | 6 | 2 | 2 | +5 | +2.6 | 20 |
| 5 |
Pogon Szczecin
|
10 | 5 | 1 | 4 | +3 | +3.8 | 16 |
| 6 |
Widzew Lodz
|
11 | 4 | 4 | 3 | +1 | -1.9 | 16 |
| 7 |
Legia
|
10 | 4 | 3 | 3 | +6 | +4.2 | 15 |
| 8 |
GKS Katowice
|
11 | 4 | 3 | 4 | +5 | +1.0 | 15 |
| 9 |
Piast Gliwice
|
10 | 4 | 3 | 3 | +1 | +1.8 | 15 |
| 10 |
Zaglebie
|
11 | 4 | 2 | 5 | -6 | -2.8 | 14 |
| 11 |
Gornik Zabrze
|
11 | 3 | 3 | 5 | -1 | +1.5 | 12 |
| 12 |
Motor Lublin
|
10 | 3 | 3 | 4 | -4 | -1.8 | 12 |
| 13 |
Korona Kielce
|
11 | 3 | 3 | 5 | -7 | -3.6 | 12 |
| 14 |
Stal Mielec
|
10 | 3 | 2 | 5 | -3 | +0.3 | 11 |
| 15 |
Radomiak Radom
|
10 | 3 | 0 | 7 | -4 | -1.0 | 9 |
| 16 |
Lechia Gdansk
|
11 | 2 | 3 | 6 | -8 | -9.2 | 9 |
| 17 |
Puszcza
|
11 | 1 | 5 | 5 | -9 | -7.2 | 8 |
| 18 |
Slask Wroclaw
|
8 | 0 | 4 | 4 | -6 | +0.6 | 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.
B. Mrozek
G
Joel Pereira
D
M. Gurgul
D
R. Murawski
M
A. Kozubal
M
Afonso Sousa
M
P. Wålemark
M
M. Ishak
F
Coach: N. Frederiksen
B. Wolski
M
S. Mráz
F
Coach: M. Stolarski
Green columns are the outcomes that came in.
Korona Kielce
Lech Poznan
Resovia Rzeszów
Lech Poznan
Lech Poznan
Slask Wroclaw
Lech Poznan
Jagiellonia
Stal Mielec
Lech Poznan
L Kuźma · 72 kamper i vår database
🟥 Red cards: 0,22 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.