Superliga (Denmark)

Superliga (Denmark) xG leaders 2026/2027

Every Superliga (Denmark) 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.

Ísak Snær Þorvaldsson has taken the best chances in the competition, 5.71 expected goals from 725 minutes. That is 2.37 clear of Noah Ganaus.

Showing 101–150 of 295 players

Superliga (Denmark) xG leaders 2026/2027
#	Player	Club	Min	Shots	xG	npxG	xG/shot	xG/90	G
101	Cornelius Allen	Lyngby	107	3	0.44	0.44	—	0.37	0
101	Darío Osorio	FC Midtjylland	450	13	0.44	0.44	0.03	0.09	1
101	Martin Sjølstad	Randers FC	587	5	0.44	0.44	0.09	0.07	0
104	Alexander Lyng	Sønderjyske Fodbold	100	4	0.43	0.43	—	0.39	0
104	Denil Castillo	FC Midtjylland	460	6	0.43	0.43	0.07	0.08	1
104	Bartosz Slisz	Brøndby IF	719	6	0.43	0.43	0.07	0.05	1
107	Mads Bech Sørensen	FC Midtjylland	405	4	0.42	0.42	—	0.09	1
108	Munashe Garananga	Lyngby	567	6	0.41	0.41	0.07	0.07	0
109	Christian Gammelgaard	Odense Boldklub	369	3	0.40	0.40	—	0.10	0
109	Chidiebube Duru	Sønderjyske Fodbold	747	5	0.40	0.40	0.08	0.05	0
111	Ulrik Jenssen	Odense Boldklub	296	6	0.39	0.39	0.07	0.12	0
112	Younes Bakiz	Silkeborg IF	129	5	0.37	0.37	0.07	0.26	0
113	Bubacarr Tambedou	Sønderjyske Fodbold	137	5	0.36	0.36	0.07	0.24	1
113	David Boison Frimpong	Sønderjyske Fodbold	233	4	0.36	0.36	—	0.14	0
115	Julius Emefile	FC Midtjylland	184	4	0.34	0.34	—	0.17	1
116	Matthew Hoppe	Sønderjyske Fodbold	306	6	0.33	0.33	0.06	0.10	0
117	Hector Høyrup	Randers FC	86	2	0.31	0.31	—	0.32	0
118	Bilal Brahimi	Viborg FF	156	4	0.30	0.30	—	0.17	0
118	Thapelo Maseko	FC København	176	5	0.30	0.30	0.06	0.15	2
118	Peter Therkildsen	Odense Boldklub	287	2	0.30	0.30	—	0.09	0
121	Jacob Christensen	Sønderjyske Fodbold	334	5	0.29	0.29	0.06	0.08	0
122	Jens Jønsson	AGF	119	2	0.28	0.28	—	0.21	1
122	Sofus Johannesen	FC Midtjylland	283	6	0.28	0.28	0.05	0.09	0
122	Lukas Kirkegaard	Viborg FF	809	6	0.28	0.28	0.05	0.03	0
125	Jimi Tauriainen	AC Horsens	295	5	0.27	0.27	0.05	0.08	0
125	Birger Meling	FC København	406	4	0.27	0.27	—	0.06	4
125	Villads Westh	Silkeborg IF	750	9	0.27	0.27	0.03	0.03	1
128	Gabriel Pereira	FC København	367	3	0.26	0.26	—	0.06	0
129	Valdemar Byskov	FC Midtjylland	197	6	0.25	0.25	0.04	0.11	1
129	William Clem	FC København	589	7	0.25	0.25	0.04	0.04	0
129	Magnus Knudsen	AGF	661	3	0.25	0.25	—	0.03	1
132	Junnosuke Suzuki	FC København	447	6	0.24	0.24	0.04	0.05	0
133	Maxime Soulas	Sønderjyske Fodbold	810	7	0.23	0.23	0.03	0.03	0
134	Mathias Greve	Randers FC	697	4	0.22	0.22	—	0.03	0
135	Fredrik Ulvestad	Odense Boldklub	22	1	0.21	0.21	—	0.86	0
135	Alexander Munksgaard	Sønderjyske Fodbold	449	1	0.21	0.21	—	0.04	1
137	Oliver Villadsen	Brøndby IF	730	4	0.20	0.20	—	0.02	0
137	Alexander Priesborg	Silkeborg IF	765	5	0.20	0.20	0.04	0.02	1
137	Daniel Høegh	Randers FC	810	3	0.20	0.20	—	0.02	0
140	Julius Körkkö	AC Horsens	86	3	0.19	0.19	—	0.20	0
140	Kristian Kirkegaard	AC Horsens	363	4	0.19	0.19	—	0.05	1
140	Sefer Emini	Sønderjyske Fodbold	549	6	0.19	0.19	0.03	0.03	0
143	Geovanni Vianney	FC København	233	3	0.18	0.18	—	0.07	0
143	Luka Callø	AGF	311	1	0.18	0.18	—	0.05	0
143	Stephen Acquah	FC Nordsjælland	451	4	0.18	0.18	—	0.04	0
146	Ousseynou Fall Seck	Randers FC	10	1	0.17	0.17	—	1.53	0
146	Mads Freundlich	Silkeborg IF	45	3	0.17	0.17	—	0.34	0
146	Teodor Haltvik	Sønderjyske Fodbold	80	3	0.17	0.17	—	0.19	0
146	Alex Král	FC København	569	5	0.17	0.17	0.03	0.03	1
146	Felix Beijmo	FC København	810	3	0.17	0.17	—	0.02	1

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 Superliga (Denmark) 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 →