Serie A

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

xG

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

xA

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

xGI

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

Showing 1–50 of 448 players

Serie A player stats 2026/2027
#	Player	Club	Pos	Min	G	A	xG	xA	xGI
1	Paulo Dybala	Roma	F	407	0	4	1.69	3.24	4.93
2	Donyell Malen	Roma	F	345	6	0	4.42	0.24	4.66
3	Lautaro Martínez	Inter	F	323	4	0	4.08	0.21	4.29
4	Mattia Zaccagni	Lazio	F	446	1	2	2.06	1.35	3.41
5	Franco Mastantuono	Fiorentina	F	377	3	0	2.42	0.59	3.01
6	Daniel Maldini	Cagliari	M	369	3	0	2.47	0.33	2.80
7	Pio Esposito	Inter	F	291	2	1	2.43	0.25	2.68
8	John Yeboah	Venezia	F	382	1	0	2.07	0.59	2.66
9	Giorgi Kvernadze	Frosinone	F	437	3	1	1.55	1.03	2.58
10	Anastasios Douvikas	Como	F	317	2	0	2.29	0.17	2.46
11	Antonio Raimondo	Frosinone	F	419	4	0	2.33	0.06	2.39
12	Davide Frattesi	Lazio	M	386	3	0	1.57	0.79	2.36
13	Vasilije Adžić	Sassuolo	M	221	3	1	1.90	0.42	2.32
13	Gustavo Varela	Monza	F	338	4	0	2.07	0.25	2.32
15	Marcus Thuram	Inter	F	229	2	2	2.03	0.20	2.23
15	Randal Kolo Muani	Juventus	F	449	0	1	2.01	0.22	2.23
17	Matías Soulé	Roma	F	279	2	1	1.63	0.59	2.22
18	Francisco Conceição	Juventus	M	364	1	1	1.16	0.96	2.12
19	Nico Paz	Como	M	420	1	1	1.53	0.57	2.10
20	Federico Dimarco	Inter	D	316	0	1	0.56	1.50	2.06
21	Armand Laurienté	Sassuolo	F	450	0	1	1.00	1.03	2.03
22	Alieu Njie	Torino	F	259	0	0	0.98	0.92	1.90
23	Ricardo Mangas	Monza	F	371	1	2	1.20	0.55	1.75
24	Tijjani Noslin	Lazio	F	183	2	0	1.60	0.14	1.74
25	Arthur Atta	Fiorentina	F	335	0	0	1.31	0.40	1.71
26	Rodrigo Mora	Roma	F	171	1	0	1.32	0.35	1.67
27	Akor Adams	Venezia	F	413	1	0	1.58	0.07	1.65
28	Lorenzo Colombo	Genoa	F	321	0	2	0.99	0.65	1.64
28	Gonçalo Ramos	Milan	F	445	1	1	1.33	0.31	1.64
30	Nicolò Barella	Inter	M	450	1	1	0.48	1.14	1.62
31	Kevin De Bruyne	Napoli	M	263	1	1	0.55	1.04	1.59
31	Giacomo Calò	Frosinone	M	429	1	1	0.61	0.98	1.59
33	Martin Baturina	Como	M	269	2	1	0.69	0.87	1.56
34	Matteo Cancellieri	Lazio	F	293	1	0	0.57	0.96	1.53
35	Andy Diouf	Inter	D	345	0	3	0.09	1.43	1.52
36	Kieron Bowie	Sassuolo	F	295	1	0	1.29	0.20	1.49
37	Idrissa Gueye	Udinese	F	176	1	0	0.99	0.49	1.48
37	Roberto Piccoli	Bologna	F	358	1	0	1.41	0.07	1.48
37	Antoine Hainaut	Venezia	D	445	1	1	0.36	1.12	1.48
40	Samuele Birindelli	Monza	D	443	0	2	0.42	1.05	1.47
41	Wesley	Roma	D	330	0	1	0.09	1.37	1.46
42	Frank Anguissa	Napoli	M	238	0	0	1.33	0.09	1.42
43	Mathías Olivera	Napoli	D	163	0	0	0.84	0.56	1.40
44	Jacobo Ramón	Como	D	450	1	0	1.05	0.34	1.39
45	Gianluca Mancini	Roma	D	392	0	2	0.64	0.70	1.34
46	Federico Bernardeschi	Bologna	F	364	1	0	0.63	0.67	1.30
47	Andrea Colpani	Monza	F	254	1	0	0.85	0.44	1.29
48	Christian Pulišić	Milan	F	114	1	1	0.55	0.71	1.26
48	Assane Diao	Como	F	339	2	1	0.51	0.75	1.26
50	Manuel Akanji	Inter	D	413	0	1	1.18	0.07	1.25

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 →