Superliga (Denmark)

Superliga (Denmark) per 90 stats 2026/2027

Every Superliga (Denmark) 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.

Hjalte Boe Rasmussen leads on expected goal involvement per 90 minutes with 0.98, over 332 minutes played. That is 0.14 clear of Janni Serra.

Showing 101–150 of 172 players

Superliga (Denmark) per 90 stats 2026/2027
#	Player	Club	Min	G/90	A/90	xG/90	xA/90	xGI/90
96	Gabriel Pereira	FC København	367	0.00	0.00	0.06	0.07	0.14
96	Villads Westh	Silkeborg IF	750	0.12	0.36	0.03	0.10	0.14
103	Oliver Villadsen	Brøndby IF	730	0.00	0.00	0.02	0.11	0.13
103	Sabil Hansen	Randers FC	580	0.00	0.31	0.01	0.12	0.13
105	Victor Pálsson	AC Horsens	809	0.00	0.11	0.05	0.07	0.12
105	Rasmus Kristensen	FC Midtjylland	785	0.11	0.00	0.07	0.06	0.12
105	Thomas Delaney	FC København	406	0.00	0.00	0.02	0.10	0.12
105	Mikkel Fischer	Lyngby	810	0.00	0.00	0.01	0.11	0.12
109	Marcus McCoy	Odense Boldklub	738	0.00	0.00	0.06	0.06	0.11
109	Jens Jakob Thomasen	Lyngby	325	0.00	0.00	0.04	0.07	0.11
109	Alexander Munksgaard	Sønderjyske Fodbold	449	0.20	0.20	0.04	0.07	0.11
109	Rasmus Vinderslev	Sønderjyske Fodbold	323	0.00	0.00	0.04	0.07	0.11
109	Jens Martin Gammelby	Silkeborg IF	791	0.00	0.00	0.09	0.02	0.11
109	Sho Fukuda	Brøndby IF	283	0.00	0.32	0.04	0.07	0.11
109	Julius Berthel Askou	Odense Boldklub	663	0.00	0.00	0.07	0.04	0.11
116	Ole Kolskogen	AC Horsens	756	0.12	0.00	0.09	0.01	0.10
116	Beni Junior	FC Midtjylland	331	0.00	0.27	0.02	0.08	0.10
116	Jordi Vanlerberghe	Brøndby IF	638	0.14	0.00	0.06	0.03	0.10
116	Laurits Pedersen	Randers FC	737	0.12	0.24	0.07	0.03	0.10
120	Chidiebube Duru	Sønderjyske Fodbold	747	0.00	0.00	0.05	0.04	0.09
120	Kristian Kirkegaard	AC Horsens	363	0.25	0.25	0.05	0.04	0.09
120	Mathias Greve	Randers FC	697	0.00	0.00	0.03	0.06	0.09
120	Magnus Knudsen	AGF	661	0.14	0.14	0.03	0.05	0.09
124	Eric Kahl	AGF	598	0.00	0.00	0.01	0.08	0.08
124	Luka Callø	AGF	311	0.00	0.00	0.05	0.03	0.08
124	William Clem	FC København	589	0.00	0.15	0.04	0.04	0.08
127	Munashe Garananga	Lyngby	567	0.00	0.00	0.07	0.01	0.07
127	Stephen Acquah	FC Nordsjælland	451	0.00	0.00	0.04	0.04	0.07
127	Žan Zaletel	Viborg FF	720	0.00	0.13	0.02	0.05	0.07
127	Jacob Andersen	AGF	404	0.00	0.00	0.02	0.05	0.07
127	Felix Beijmo	FC København	810	0.11	0.00	0.02	0.05	0.07
132	Ismahila Ouédraogo	Odense Boldklub	585	0.00	0.00	0.02	0.04	0.06
132	Lukas Kirkegaard	Viborg FF	809	0.00	0.00	0.03	0.03	0.06
132	Noah Markmann	FC Nordsjælland	495	0.00	0.00	0.03	0.03	0.06
135	Adam Herdonsson	AC Horsens	494	0.00	0.00	0.02	0.03	0.05
135	Colin Rösler	AGF	400	0.00	0.00	0.02	0.03	0.05
135	Victor Bak Jensen	FC Midtjylland	313	0.00	0.00	0.02	0.03	0.05
135	Daniel Høegh	Randers FC	810	0.00	0.00	0.02	0.03	0.05
135	Wessel Dammers	Randers FC	450	0.00	0.00	0.03	0.02	0.05
135	Victor Nelsson	FC Nordsjælland	270	0.00	0.00	0.01	0.04	0.05
135	Pedro Bravo	FC Midtjylland	702	0.00	0.00	0.01	0.03	0.05
135	Karlo Lusavec	AC Horsens	598	0.00	0.00	0.02	0.02	0.05
143	Mads Larsen	Silkeborg IF	809	0.00	0.00	0.02	0.02	0.04
143	Jeppe Grønning	Viborg FF	810	0.00	0.00	0.00	0.03	0.04
143	Abdul Moro	AC Horsens	509	0.18	0.00	0.01	0.02	0.04
143	John Björkengren	Randers FC	398	0.00	0.00	0.03	0.00	0.04
143	James Gomez	Odense Boldklub	710	0.00	0.00	0.01	0.02	0.04
148	Alexander Priesborg	Silkeborg IF	765	0.12	0.00	0.02	0.01	0.03
148	Ákos Markgráf	FC København	360	0.00	0.00	0.00	0.03	0.03
148	Mouhammade Camara	AGF	307	0.00	0.00	0.01	0.02	0.03

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 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 →