xgEdge

Serie A player stats 2025/2026

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.

Kenan Yıldız leads on expected goal involvement with 18.14, from 2838 minutes. Kenan Yıldız has scored 10 goals from 8.84 xG. Federico Dimarco leads the league on expected assists with 10.69.

League leaders

Goals

  1. 1 Lautaro Martínez 17 INT 13.40 xG
  2. 2 Donyell Malen 14 ROM 13.45 xG
  3. 2 Anastasios Douvikas 14 COM 11.41 xG

xG

  1. 1 Moise Kean 14.93 FIO 8 goals
  2. 2 Nikola Krstović 14.45 ATA 10 goals
  3. 3 Donyell Malen 13.45 ROM 14 goals

xA

  1. 1 Federico Dimarco 10.69 INT 16 assists
  2. 2 Kenan Yıldız 9.30 JUV 6 assists
  3. 3 Charles De Ketelaere 8.40 ATA 5 assists

xGI

  1. 1 Kenan Yıldız 18.14 JUV 0.58 per 90
  2. 2 Nikola Krstović 16.50 ATA 0.83 per 90
  3. 3 Lautaro Martínez 16.04 INT 0.66 per 90

Showing 451–500 of 586 players

Serie A player stats 2025/2026
# Player Club Pos Min G A xG xA xGI
448 Luca Marianucci Torino D 691 0 1 0.03 0.19 0.22
452 Antonio Arena Roma F 25 0 0 0.19 0.02 0.21
453 Darryl Bakola Sassuolo M 144 0 1 0.08 0.12 0.20
453 Francesco Folino Cremonese D 738 1 0 0.17 0.03 0.20
455 Juan Arizala Udinese D 197 0 0 0.03 0.15 0.18
456 Corrie Ndaba Lecce D 552 0 0 0.11 0.06 0.17
457 Alessandro Di Pardo Cagliari M 60 0 0 0.16 0.00 0.16
458 Riccardo Braschi Fiorentina F 106 0 0 0.12 0.03 0.15
459 Nicolás González Juventus M 25 0 0 0.14 0.00 0.14
460 Daniele Rugani Fiorentina D 594 0 0 0.10 0.02 0.12
460 Albert Grønbæk Genoa M 107 0 0 0.04 0.08 0.12
462 Calvin Stengs Pisa M 61 0 0 0.07 0.04 0.11
462 Mattia Mosconi Inter F 25 0 0 0.09 0.02 0.11
462 Eivind Helland Bologna D 488 0 0 0.08 0.03 0.11
465 Arkadiusz Milik Juventus F 34 0 0 0.08 0.02 0.10
465 Sebastian Otoa Genoa D 843 0 0 0.08 0.02 0.10
467 Jacopo Grossi Genoa M 21 0 0 0.09 0.00 0.09
467 Michele Collocolo Cremonese M 363 0 0 0.06 0.03 0.09
469 Cheveyo Mul Milan F 9 0 0 0.08 0.00 0.08
469 Benjamin Pavard Inter D 90 0 0 0.05 0.03 0.08
469 Pablo Marí Fiorentina D 809 0 0 0.04 0.04 0.08
472 Branimir Mlačić Udinese D 162 0 0 0.03 0.04 0.07
472 Mateus Lusuardi Pisa D 199 0 0 0.06 0.01 0.07
474 Ali Dembélé Torino D 24 0 0 0.06 0.00 0.06
474 Ciro Immobile Bologna F 191 0 0 0.04 0.02 0.06
474 Filippo Romagna Sassuolo D 315 0 0 0.04 0.02 0.06
477 Hernani Parma M 69 0 0 0.02 0.03 0.05
477 Benjamin Cremaschi Parma D 144 0 0 0.02 0.03 0.05
479 Simone Lottici Tessadri Cremonese M 8 0 0 0.04 0.00 0.04
480 Yellu Santiago Hellas Verona M 11 0 0 0.02 0.01 0.03
480 Amir Richardson Fiorentina M 40 0 0 0.02 0.01 0.03
482 Adrian Przyborek Lazio M 8 0 0 0.02 0.00 0.02
482 Laurs Skjellerup Sassuolo F 9 0 0 0.02 0.00 0.02
482 Jean Onana Genoa M 45 0 0 0.02 0.00 0.02
— Abdoulaye Camara Udinese M 11 0 0 — 0.09 —
— Adam Masina Torino D 232 0 1 — 0.35 —
— Adrian Šemper Pisa G 2,250 0 0 — 0.01 —
— Agustín Albarracín Cagliari M 31 0 0 — 0.00 —
— Alberto Paleari Torino G 2,610 0 0 — 0.06 —
— Alessandro Cardinali Parma F 45 0 0 — 0.00 —
— Alessandro Romano Roma M 10 0 0 — 0.00 —
— Alessio Furlanetto Lazio G 180 0 0 — 0.00 —
— Alex Meret Napoli G 980 0 1 — 0.00 —
— Andrea Ghion Sassuolo M 10 0 0 — 0.00 —
— Andrea Le Borgne Como M 1 0 0 — 0.00 —
— Arijanet Murić Sassuolo G 2,880 0 0 — 0.02 —
— Balthazar Pierret Lecce M 32 0 0 — 0.00 —
— Brando Bettazzi Pisa M 13 0 0 — 0.00 —
— Cas Odenthal Sassuolo D 1 0 0 — 0.00 —
— Christ-Owen Kouassi Lecce D 229 0 0 — 0.07 —
  • 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 →