Bundesliga

Bundesliga xG leaders 2026/2027

Every Bundesliga player ranked on the expected goals of the chances he took, with how many shots that took, what the average one was worth and the goals that came of them.

Patrik Schick has taken the best chances in the competition, 3.36 expected goals from 261 minutes. That is 0.39 clear of Luis Díaz.

Showing 101–150 of 367 players

Bundesliga xG leaders 2026/2027
#	Player	Club	Min	Shots	xG	npxG	xG/shot	xG/90	G
99	Antonio Nusa	RB Leipzig	342	10	0.40	0.40	0.04	0.11	2
99	Finn Jeltsch	VfB Stuttgart	360	6	0.40	0.40	0.07	0.10	0
103	Anthony Caci	1. FSV Mainz 05	281	4	0.39	0.39	—	0.12	0
104	Ayoube Amaimouni Echghouyab	Eintracht Frankfurt	104	4	0.37	0.37	—	0.32	0
105	Francis Onyeka	SV 07 Elversberg	154	3	0.36	0.36	—	0.21	0
105	Konrad Laimer	FC Bayern München	180	2	0.36	0.36	—	0.18	0
105	Marin Ljubičić	1. FC Union Berlin	217	4	0.36	0.36	—	0.15	0
105	Nikola Katić	FC Schalke 04	346	1	0.36	0.36	—	0.09	0
109	Fisnik Asllani	TSG Hoffenheim	18	4	0.35	0.35	—	1.75	0
109	Tim Kleindienst	Borussia M'gladbach	219	6	0.35	0.35	0.06	0.14	0
111	Lennart Karl	FC Bayern München	134	4	0.34	0.34	—	0.23	1
111	Adam Daghim	TSG Hoffenheim	347	6	0.34	0.34	0.06	0.09	2
113	Tiago Tomás	VfB Stuttgart	62	2	0.33	0.33	—	0.48	0
113	Wouter Burger	TSG Hoffenheim	349	5	0.33	0.33	0.07	0.09	0
115	Wael Mohya	Borussia M'gladbach	182	4	0.32	0.32	—	0.16	0
115	Aleix García	Bayer 04 Leverkusen	360	6	0.32	0.32	0.05	0.08	0
117	Noel Futkeu	SV 07 Elversberg	46	1	0.31	0.31	—	0.61	0
117	Joey Veerman	Borussia Dortmund	188	4	0.31	0.31	—	0.15	0
117	Ozan Kabak	TSG Hoffenheim	349	5	0.31	0.31	0.06	0.08	1
120	Lucas Höler	SC Freiburg	39	1	0.30	0.30	—	0.69	0
120	Nathaniel Brown	FC Bayern München	182	3	0.30	0.30	—	0.15	0
120	Maximilian Mittelstädt	VfB Stuttgart	348	5	0.30	0.30	0.06	0.08	1
123	Giannis Konstantelias	Borussia Dortmund	54	2	0.29	0.29	—	0.48	0
123	Woo-Yeong Jeong	1. FC Union Berlin	205	6	0.29	0.29	0.05	0.13	0
123	Marvin Pieringer	SC Paderborn 07	306	5	0.29	0.29	0.06	0.09	0
126	Jonathan Tah	FC Bayern München	192	2	0.28	0.28	—	0.13	0
126	David Møller Wolfe	Hamburger SV	251	4	0.28	0.28	—	0.10	0
128	Maximilian Wöber	FC Schalke 04	82	1	0.27	0.27	—	0.30	1
128	Laurin Ulrich	SC Paderborn 07	316	5	0.27	0.27	0.05	0.08	0
128	Lukas Finn Pinckert	SV 07 Elversberg	360	1	0.27	0.27	—	0.07	0
131	Joe Scally	Borussia M'gladbach	257	3	0.26	0.26	—	0.09	1
131	Fabian Rieder	FC Augsburg	353	6	0.26	0.26	0.04	0.07	1
133	Brajan Gruda	RB Leipzig	189	5	0.25	0.25	0.05	0.12	0
133	Michel Aebischer	1. FC Union Berlin	299	5	0.25	0.25	0.05	0.08	0
135	Jae-sung Lee	1. FSV Mainz 05	266	4	0.24	0.24	—	0.08	0
136	Ísak Bergmann Jóhannesson	1. FC Köln	228	4	0.23	0.23	—	0.09	0
136	Felix Uduokhai	1. FC Union Berlin	270	2	0.23	0.23	—	0.08	0
136	Miguel Gutiérrez	Bayer 04 Leverkusen	353	4	0.23	0.23	—	0.06	1
136	Robin Koch	Eintracht Frankfurt	360	5	0.23	0.23	0.05	0.06	0
136	Soufiane El-Faouzi	FC Schalke 04	360	5	0.23	0.23	0.05	0.06	0
141	Serge Gnabry	FC Bayern München	13	1	0.22	0.22	—	1.52	0
141	Kenan Karaman	FC Schalke 04	180	3	0.22	0.22	—	0.11	0
141	András Schäfer	1. FC Union Berlin	199	1	0.22	0.22	—	0.10	0
144	Conrad Harder	RB Leipzig	14	2	0.21	0.21	—	1.35	0
144	Daiki Hashioka	Borussia M'gladbach	90	1	0.21	0.21	—	0.21	0
144	Calvin Brackelmann	FC Augsburg	346	3	0.21	0.21	—	0.05	1
147	Victor Okoh Boniface	Bayer 04 Leverkusen	12	3	0.20	0.20	—	1.50	0
147	Jamal Musiala	FC Bayern München	148	5	0.20	0.20	0.04	0.12	1
147	Terem Moffi	Hamburger SV	177	3	0.20	0.20	—	0.10	0
147	Ritsu Doan	Eintracht Frankfurt	238	5	0.20	0.20	0.04	0.08	0

goals 2+ above xG
under 90 minutes

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

Min: Minutes played.
Shots: Shots he has taken in this competition this season.
xG: Expected goals: the quality of the chances he took, summed.
npxG: Expected goals with penalties taken out.
xG/shot: Expected goals per shot taken — the average chance he gets on the end of. Shown from 5 shots.
xG/90: Expected goals per 90 minutes played.
G: Goals scored, penalties included.

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 →