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
Puszcza
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: 0–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Rakow
|
22 | 12 | 7 | 3 | +15 | +11.6 | 43 |
| 2 |
Lech Poznan
|
21 | 13 | 2 | 6 | +20 | +10.9 | 41 |
| 3 |
Jagiellonia
|
21 | 12 | 5 | 4 | +14 | -0.1 | 41 |
| 4 |
Pogon Szczecin
|
22 | 12 | 3 | 7 | +13 | +9.1 | 39 |
| 5 |
Legia
|
22 | 10 | 6 | 6 | +12 | +10.2 | 36 |
| 6 |
Cracovia
|
21 | 9 | 7 | 5 | +8 | +0.2 | 34 |
| 7 |
Gornik Zabrze
|
22 | 10 | 4 | 8 | +3 | +3.1 | 34 |
| 8 |
GKS Katowice
|
21 | 8 | 6 | 7 | +4 | +0.9 | 30 |
| 9 |
Piast Gliwice
|
22 | 7 | 9 | 6 | +3 | -1.7 | 30 |
| 10 |
Motor Lublin
|
21 | 8 | 5 | 8 | -7 | -1.5 | 29 |
| 11 |
Korona Kielce
|
22 | 6 | 8 | 8 | -9 | -4.7 | 26 |
| 12 |
Widzew Lodz
|
22 | 7 | 5 | 10 | -11 | -3.2 | 26 |
| 13 |
Radomiak Radom
|
22 | 7 | 3 | 12 | -7 | -0.6 | 24 |
| 14 |
Stal Mielec
|
22 | 6 | 5 | 11 | -6 | +3.9 | 23 |
| 15 |
Zaglebie
|
21 | 6 | 4 | 11 | -13 | -7.1 | 22 |
| 16 |
Lechia Gdansk
|
21 | 5 | 6 | 10 | -12 | -16.2 | 21 |
| 17 |
Puszcza
|
21 | 4 | 7 | 10 | -12 | -10.7 | 19 |
| 18 |
Slask Wroclaw
|
22 | 2 | 8 | 12 | -15 | -4.3 | 14 |
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
B. Pllana
D
E. Olsson
D
C. Mena
M
M. Khlan
M
T. Bobček
F
B. Viunnyk
F
Coach: J. Carver
D. Szymonowicz
D
R. Yakuba
D
Coach: T. Tułacz
Green columns are the outcomes that came in.
Zaglebie
Lechia Gdansk
Lechia Gdansk
Lech Poznan
Motor Lublin
Lechia Gdansk
Lechia Gdansk
Slask Wroclaw
GKS Katowice
Lechia Gdansk
T Kwiatkowski · 76 kamper i vår database
🟥 Red cards: 0,18 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.