Bundesliga

Bundesliga per 90 stats 2025/2026

Every Bundesliga player's season divided by the minutes he played, which is the only basis a regular and a substitute can be compared on.

Ranked from 270 minutes played.

Harry Kane leads on expected goal involvement per 90 minutes with 1.17, over 2382 minutes played.

Showing 51–100 of 391 players

Bundesliga per 90 stats 2025/2026
#	Player	Club	Min	G/90	A/90	xG/90	xA/90	xGI/90
50	David Raum	RB Leipzig	2,556	0.11	0.25	0.08	0.42	0.50
52	Nelson Weiper	1. FSV Mainz 05	587	0.00	0.00	0.44	0.05	0.49
52	Rayan Philippe	Hamburger SV	1,293	0.35	0.00	0.38	0.11	0.49
52	Mohamed Amoura	VfL Wolfsburg	1,976	0.36	0.14	0.38	0.11	0.49
55	Joshua Kimmich	FC Bayern München	2,280	0.08	0.32	0.10	0.38	0.48
55	Marius Bülter	1. FC Köln	1,606	0.28	0.22	0.23	0.25	0.48
55	Silas	1. FSV Mainz 05	342	0.26	0.00	0.42	0.06	0.48
55	Tim Lemperle	TSG Hoffenheim	1,959	0.37	0.09	0.37	0.10	0.48
55	Lucas Vázquez	Bayer 04 Leverkusen	499	0.18	0.36	0.09	0.39	0.48
55	Jean-Luc Dompé	Hamburger SV	1,137	0.24	0.00	0.17	0.31	0.48
61	Anton Kade	FC Augsburg	1,746	0.31	0.00	0.32	0.15	0.47
61	Alessio Castro-Montes	1. FC Köln	670	0.13	0.40	0.19	0.28	0.47
61	Armindo Sieb	1. FSV Mainz 05	553	0.33	0.00	0.38	0.09	0.47
61	Christian Eriksen	VfL Wolfsburg	2,629	0.10	0.31	0.21	0.25	0.47
61	Budu Zivzivadze	1. FC Heidenheim	1,146	0.47	0.00	0.39	0.08	0.47
61	Fisnik Asllani	TSG Hoffenheim	2,354	0.38	0.27	0.32	0.15	0.47
67	Bilal El Khannouss	VfB Stuttgart	1,634	0.22	0.28	0.15	0.31	0.46
67	Victor Okoh Boniface	SV Werder Bremen	325	0.00	0.55	0.29	0.17	0.46
69	Dženan Pejčinović	VfL Wolfsburg	1,670	0.49	0.00	0.42	0.03	0.45
70	Kento Shiogai	VfL Wolfsburg	344	0.26	0.00	0.37	0.07	0.44
70	Ibrahim Maza	Bayer 04 Leverkusen	1,859	0.15	0.19	0.24	0.21	0.44
70	Alexis Claude-Maurice	FC Augsburg	2,048	0.22	0.18	0.31	0.13	0.44
70	Pascal Groß	Borussia Dortmund	618	0.00	0.15	0.09	0.35	0.44
70	Martin Terrier	Bayer 04 Leverkusen	672	0.54	0.13	0.31	0.12	0.44
75	Patrice Čović	SV Werder Bremen	349	0.26	0.00	0.29	0.14	0.43
75	Ernest Poku	Bayer 04 Leverkusen	1,484	0.30	0.30	0.18	0.25	0.43
75	Josip Juranović	1. FC Union Berlin	334	0.27	0.27	0.16	0.27	0.43
75	Florian Kainz	1. FC Köln	277	0.32	0.32	0.24	0.18	0.43
79	Maximilian Mittelstädt	VfB Stuttgart	2,195	0.25	0.16	0.19	0.24	0.42
79	Danel Sinani	FC St. Pauli	2,068	0.22	0.13	0.22	0.20	0.42
79	Emre Can	Borussia Dortmund	621	0.43	0.00	0.37	0.06	0.42
79	Jovan Milošević	SV Werder Bremen	501	0.54	0.18	0.36	0.06	0.42
79	Robert Glatzel	Hamburger SV	640	0.42	0.28	0.37	0.05	0.42
79	Andreas Hountondji	FC St. Pauli	1,084	0.33	0.00	0.38	0.04	0.42
79	Antonio Nusa	RB Leipzig	2,035	0.18	0.13	0.20	0.22	0.42
79	Grischa Prömel	TSG Hoffenheim	1,752	0.36	0.10	0.27	0.15	0.42
79	Julian Ryerson	Borussia Dortmund	2,272	0.00	0.59	0.04	0.38	0.42
79	Abdoulie Ceesay	FC St. Pauli	354	0.76	0.00	0.35	0.07	0.42
89	Giovanni Reyna	Borussia M'gladbach	526	0.17	0.00	0.12	0.30	0.41
89	Assan Ouédraogo	RB Leipzig	974	0.37	0.28	0.24	0.17	0.41
89	Philip Otele	Hamburger SV	477	0.19	0.19	0.18	0.23	0.41
92	Jan-Niklas Beste	SC Freiburg	1,716	0.10	0.10	0.19	0.21	0.40
92	Marvin Pieringer	1. FC Heidenheim	1,653	0.22	0.05	0.32	0.08	0.40
92	Leon Goretzka	FC Bayern München	1,954	0.23	0.14	0.22	0.18	0.40
95	Nikolas Nartey	VfB Stuttgart	1,262	0.29	0.21	0.20	0.19	0.39
95	Paul Nebel	1. FSV Mainz 05	2,081	0.22	0.09	0.23	0.16	0.39
95	Jakub Kamiński	1. FC Köln	3,019	0.21	0.09	0.21	0.18	0.39
98	Malik Tillman	Bayer 04 Leverkusen	1,689	0.32	0.05	0.23	0.15	0.38
98	Oliver Burke	1. FC Union Berlin	1,692	0.32	0.11	0.28	0.10	0.38
98	Bazoumana Touré	TSG Hoffenheim	2,325	0.19	0.35	0.16	0.22	0.38

under 90 minutes

About these figures What each column counts, and which feed it was counted from. Show

Min: Minutes played.
G/90: Goals per 90 minutes played.
A/90: Assists per 90 minutes played.
xG/90: Expected goals per 90 minutes played.
xA/90: Expected assists per 90 minutes played.
xGI/90: Expected goal involvement per 90 minutes played.

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