xgEdge

Ekstraklasa expected goal involvement 2026/2027

Every Ekstraklasa player ranked on both halves of his output added: the chances he took and the chances he made for somebody else, with each half printed beside the total.

Bartosz Nowak tops the competition on 6.94 expected goal involvement, from 712 minutes. Of that, 1.97 is the chances he took himself and 4.97 the chances he made.

Showing 151–200 of 424 players

Ekstraklasa expected goal involvement 2026/2027
# Player Club Min xG xA xGI G+A xGI/90
149 Dimitrios Keramitsis Pogoń Szczecin 720 0.52 0.41 0.93 0 0.12
149 Mikkel Maigaard Wieczysta Kraków 720 0.36 0.57 0.93 0 0.12
153 Martin Remacle MKS Korona Kielce 480 0.48 0.44 0.92 1 0.17
154 Jime Wisła Płock 361 0.35 0.56 0.91 0 0.23
155 Szymon Bartlewicz GKS Katowice 232 0.41 0.49 0.90 1 0.35
155 Paulo Bernardo Górnik Zabrze 513 0.29 0.61 0.90 0 0.16
155 Przemysław Wiśniewski Widzew Łódź 625 0.70 0.20 0.90 0 0.13
155 Bartosz Bereszyński Motor Lublin 802 0.06 0.84 0.90 0 0.10
159 Wladyslaw Kocherhin Raków Częstochowa 403 0.26 0.63 0.89 2 0.20
160 Eryk Kozłowski Jagiellonia Białystok 294 0.21 0.67 0.88 0 0.27
161 Sebastian Kerk Zagłębie Lubin 382 0.23 0.64 0.87 0 0.20
162 Mohamed Berte Cracovia 219 0.44 0.42 0.86 1 0.35
162 Lukas Klemenz GKS Katowice 529 0.77 0.09 0.86 0 0.15
164 Lamine Diaby-Fadiga Raków Częstochowa 191 0.75 0.10 0.85 1 0.40
164 Antoni Kozubal Lech Poznań 315 0.59 0.26 0.85 1 0.24
166 Jan Biegański Pogoń Szczecin 180 0.73 0.09 0.82 1 0.41
167 Yvan Ikia Dimi Górnik Zabrze 297 0.38 0.43 0.81 1 0.25
168 Marek Kristián Bartoš Motor Lublin 642 0.59 0.21 0.80 0 0.11
169 Ondřej Zmrzlý Górnik Zabrze 315 0.21 0.57 0.78 0 0.22
170 Christos Donis Radomiak Radom 547 0.54 0.23 0.77 0 0.13
170 Ben Lederman Wieczysta Kraków 177 0.69 0.08 0.77 0 0.39
172 Ariel Mosór MKS Korona Kielce 694 0.54 0.22 0.76 0 0.10
172 Patrik Hellebrand MKS Korona Kielce 807 0.46 0.30 0.76 0 0.08
174 Miguel Villar Miki Wieczysta Kraków 238 0.63 0.12 0.75 2 0.28
174 Roman Yakuba Zagłębie Lubin 495 0.01 0.74 0.75 2 0.14
174 Marcel Pięczek MKS Korona Kielce 720 0.15 0.60 0.75 1 0.09
177 Alan Czerwiński GKS Katowice 344 0.24 0.50 0.74 1 0.19
178 Kamil Jakubczyk MKS Korona Kielce 712 0.09 0.64 0.73 1 0.09
179 Vahan Bichakhchyan Legia Warszawa 41 0.17 0.55 0.72 1 1.58
179 Norbert Barczak MKS Korona Kielce 132 0.59 0.13 0.72 0 0.49
179 Ádin Molnár Raków Częstochowa 194 0.23 0.49 0.72 0 0.33
182 Filip Szymczak Zagłębie Lubin 374 0.53 0.18 0.71 0 0.17
183 Leo Bengtsson Lech Poznań 151 0.55 0.15 0.70 1 0.42
183 Fran Tudor Raków Częstochowa 504 0.14 0.56 0.70 0 0.13
183 Jakub Lewicki Piast Gliwice 709 0.28 0.42 0.70 2 0.09
186 Kellyn Acosta Pogoń Szczecin 400 0.53 0.16 0.69 2 0.16
186 Simon Gustafson MKS Korona Kielce 186 0.63 0.06 0.69 1 0.33
186 Wojciech Urbański Legia Warszawa 514 0.34 0.35 0.69 0 0.12
189 Fredrik Ulvestad Pogoń Szczecin 265 0.12 0.56 0.68 0 0.23
190 Maciej Kuziemka Wisła Kraków 225 0.53 0.13 0.66 0 0.26
190 Michał Rosiak Śląsk Wrocław 347 0.40 0.26 0.66 0 0.17
192 Jean-Pierre Nsame Pogoń Szczecin 153 0.52 0.12 0.64 0 0.38
192 Stratos Svarnas Raków Częstochowa 415 0.04 0.60 0.64 0 0.14
192 Dani Pacheco Wisła Płock 232 0.06 0.58 0.64 1 0.25
195 Szczepan Mucha Piast Gliwice 160 0.60 0.03 0.63 1 0.35
195 Marcin Flis Wisła Płock 234 0.54 0.09 0.63 1 0.24
195 Fernand Gouré Radomiak Radom 281 0.60 0.03 0.63 0 0.20
195 Ondrej Lingr MKS Korona Kielce 303 0.49 0.14 0.63 1 0.19
195 Attila Szalai Pogoń Szczecin 383 0.40 0.23 0.63 1 0.15
200 Ieltsin Camões Śląsk Wrocław 158 0.59 0.03 0.62 0 0.35
  • xG share
  • xA share
  • under 90 minutes
About these figures What each column counts, and which feed it was counted from. Show
Min
Minutes played.
xG
Expected goals: the quality of the chances he took, summed.
xA
Expected assists: the quality of the chances he created for others, summed.
xGI
Expected goal involvement: expected goals and expected assists added.
G+A
Goals and assists added.
xGI/90
Expected goal involvement per 90 minutes played.

Appearances, minutes, goals, assists and shots on this page are summed over the Ekstraklasa matches we hold per-player figures for — the same matches the expected figures are summed over, so the two can be read against each other.

Learn how xgEdge calculates these figures →