xgEdge

Serie A player stats 2026/2027

Every Serie A player with minutes this season, ranked on what he has produced — goals and assists, with the expected goals and expected assists behind them where the competition carries per-match figures.

Paulo Dybala leads on expected goal involvement with 4.93, from 407 minutes. Paulo Dybala has scored 0 goals from 1.69 xG.

League leaders

Goals

  1. 1 Donyell Malen 6 ROM 4.42 xG
  2. 2 Lautaro Martínez 4 INT 4.08 xG
  3. 2 Gustavo Varela 4 MON 2.07 xG

xG

  1. 1 Donyell Malen 4.42 ROM 6 goals
  2. 2 Lautaro Martínez 4.08 INT 4 goals
  3. 3 Daniel Maldini 2.47 CAG 3 goals

xA

  1. 1 Paulo Dybala 3.24 ROM 4 assists
  2. 2 Federico Dimarco 1.50 INT 1 assists
  3. 3 Andy Diouf 1.43 INT 3 assists

xGI

  1. 1 Paulo Dybala 4.93 ROM 1.09 per 90
  2. 2 Donyell Malen 4.66 ROM 1.22 per 90
  3. 3 Lautaro Martínez 4.29 INT 1.20 per 90

Showing 151–200 of 448 players

Serie A player stats 2026/2027
# Player Club Pos Min G A xG xA xGI
149 Víctor Valdepeñas Fiorentina D 235 0 0 0.40 0.15 0.55
149 Zeki Çelik Juventus D 427 0 1 0.05 0.50 0.55
149 Michel Adopo Cagliari F 450 0 2 0.22 0.33 0.55
154 Nahuel Molina Roma D 216 0 1 0.10 0.44 0.54
154 Nikola Vlašić Torino M 428 0 0 0.40 0.14 0.54
156 Ardon Jashari Milan M 80 0 0 0.48 0.05 0.53
156 Teun Koopmeiners Juventus M 136 1 1 0.26 0.27 0.53
158 Matias Moreno Venezia D 174 0 0 0.51 0.01 0.52
158 Darryl Bakola Sassuolo M 297 0 1 0.14 0.38 0.52
158 Anthony Oyono Frosinone D 383 0 1 0.27 0.25 0.52
158 Mario Gila Milan D 431 0 0 0.32 0.20 0.52
162 Costantino Favasuli Napoli D 62 0 1 0.37 0.14 0.51
162 Christian Ordoñez Parma M 205 0 0 0.18 0.33 0.51
162 Djibril Sow Genoa M 311 0 1 0.05 0.46 0.51
162 Álex Valle Como D 343 0 1 0.13 0.38 0.51
162 Alessio Cacciamani Torino D 362 0 1 0.07 0.44 0.51
167 Ruben Loftus-Cheek Milan F 210 0 0 0.23 0.27 0.50
167 El Bilal Touré Parma F 372 0 1 0.44 0.06 0.50
169 Vitinha Genoa F 229 0 0 0.44 0.05 0.49
169 Gianluca Busio Venezia M 314 0 2 0.31 0.18 0.49
171 Kenan Yıldız Juventus F 69 0 0 0.17 0.31 0.48
171 Jérémie Boga Juventus F 104 0 0 0.03 0.45 0.48
173 Jesper Karlström Udinese M 450 1 0 0.29 0.18 0.47
174 Abdoulaye Ndiaye Parma D 90 0 0 0.46 0.00 0.46
174 Pietro Comuzzo Torino D 335 1 0 0.38 0.08 0.46
176 Alisson Santos Napoli F 180 0 0 0.20 0.25 0.45
176 Ridgeciano Haps Venezia D 257 0 1 0.32 0.13 0.45
178 Jakub Piotrowski Udinese M 146 1 0 0.39 0.05 0.44
178 Jacopo Fazzini Cagliari F 241 0 1 0.11 0.33 0.44
178 Nemanja Matić Sassuolo M 397 0 1 0.07 0.37 0.44
178 Pierre Kalulu Juventus D 450 0 0 0.03 0.41 0.44
182 Henrikh Mkhitaryan Inter M 62 0 0 0.39 0.04 0.43
182 Willem Geubbels Lecce F 128 0 0 0.39 0.04 0.43
184 Yunus Musah Milan M 329 0 0 0.34 0.08 0.42
184 Jamil Siebert Lecce D 384 0 0 0.14 0.28 0.42
184 Simone Cinquegrano Sassuolo D 450 0 0 0.30 0.12 0.42
187 Zakaria Aboukhlal Torino F 26 0 0 0.38 0.02 0.40
187 Franck Kessié Atalanta M 169 0 0 0.29 0.11 0.40
189 Thierry Correia Venezia D 185 0 0 0.29 0.10 0.39
189 Kerim Alajbegović Juventus F 229 0 0 0.26 0.13 0.39
189 Josh Doig Sassuolo D 411 1 0 0.16 0.23 0.39
192 Albion Rrahmani Venezia F 81 0 0 0.37 0.01 0.38
192 Christian Kabasele Udinese D 213 0 0 0.34 0.04 0.38
194 Daniel Bragança Torino M 133 0 0 0.06 0.31 0.37
195 Ivan Ilić Lecce M 220 0 2 0.08 0.28 0.36
195 Saúl Coco Torino D 400 0 0 0.28 0.08 0.36
195 Pervis Estupiñán Milan D 280 0 0 0.23 0.13 0.36
195 Radu Drăguşin Fiorentina D 450 0 1 0.23 0.13 0.36
199 Luis Hasa Frosinone M 42 0 0 0.27 0.08 0.35
199 Bartol Franjić Venezia D 134 0 0 0.33 0.02 0.35
  • xG share
  • xA share
  • goals 2+ above xG
  • under 90 minutes
About these figures What each column counts, and which feed it was counted from. Show
Pos
The position the provider files him under.
Min
Minutes played.
G
Goals scored, penalties included.
A
Assists.
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.

Appearances, minutes, goals, assists and shots on this page are summed over the Serie A 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 →