Superliga (Denmark)

Superliga (Denmark) expected goal involvement 2026/2027

Every Superliga (Denmark) player ranked on both halves of his output added: the chances he took and the chances he made for somebody else, with each half printed beside the total.

Ísak Snær Þorvaldsson tops the competition on 6.19 expected goal involvement, from 725 minutes. That is 0.79 clear of Simon Colyn. Of that, 5.71 is the chances he took himself and 0.48 the chances he made.

Showing 151–200 of 295 players

Superliga (Denmark) expected goal involvement 2026/2027
#	Player	Club	Min	xG	xA	xGI	G+A	xGI/90
151	Jens Jakob Thomasen	Lyngby	325	0.16	0.25	0.41	0	0.11
151	Ismahila Ouédraogo	Odense Boldklub	585	0.14	0.27	0.41	0	0.06
153	Fredrik Ulvestad	Odense Boldklub	22	0.21	0.19	0.40	0	1.64
153	Rasmus Vinderslev	Sønderjyske Fodbold	323	0.15	0.25	0.40	0	0.11
155	Julius Emefile	FC Midtjylland	184	0.34	0.05	0.39	1	0.19
155	David Boison Frimpong	Sønderjyske Fodbold	233	0.36	0.03	0.39	0	0.15
157	Simon Stüker	Randers FC	93	0.10	0.28	0.38	0	0.37
158	Beni Junior	FC Midtjylland	331	0.07	0.30	0.37	1	0.10
158	Kristian Kirkegaard	AC Horsens	363	0.19	0.18	0.37	2	0.09
158	Stephen Acquah	FC Nordsjælland	451	0.18	0.19	0.37	0	0.07
161	Pedro Bravo	FC Midtjylland	702	0.10	0.26	0.36	0	0.05
161	Mads Larsen	Silkeborg IF	809	0.15	0.21	0.36	0	0.04
163	Mathias Hebo	Lyngby	98	0.05	0.30	0.35	0	0.32
163	Bilal Brahimi	Viborg FF	156	0.30	0.05	0.35	0	0.20
163	Jeppe Grønning	Viborg FF	810	0.04	0.31	0.35	0	0.04
166	Sho Fukuda	Brøndby IF	283	0.13	0.21	0.34	1	0.11
167	Markus Solbakken	AGF	170	0.12	0.20	0.32	1	0.17
168	Jens Jønsson	AGF	119	0.28	0.03	0.31	1	0.23
168	Caleb Yirenkyi	FC Nordsjælland	180	0.05	0.26	0.31	0	0.16
168	Jacob Andersen	AGF	404	0.10	0.21	0.31	0	0.07
168	Noah Markmann	FC Nordsjælland	495	0.16	0.15	0.31	0	0.06
172	Ivan Miličević	AC Horsens	183	0.12	0.18	0.30	2	0.15
172	Adam Herdonsson	AC Horsens	494	0.11	0.19	0.30	0	0.05
172	Karlo Lusavec	AC Horsens	598	0.15	0.15	0.30	0	0.05
175	Frederik Tingager	AGF	114	0.11	0.18	0.29	0	0.23
176	Geovanni Vianney	FC København	233	0.18	0.10	0.28	0	0.11
176	James Gomez	Odense Boldklub	710	0.09	0.19	0.28	0	0.04
178	Luka Callø	AGF	311	0.18	0.09	0.27	0	0.08
178	Alexander Priesborg	Silkeborg IF	765	0.20	0.07	0.27	1	0.03
180	Julius Körkkö	AC Horsens	86	0.19	0.07	0.26	0	0.27
181	Colin Rösler	AGF	400	0.11	0.13	0.24	0	0.05
181	Wessel Dammers	Randers FC	450	0.15	0.09	0.24	0	0.05
183	Abdul Moro	AC Horsens	509	0.08	0.13	0.21	1	0.04
184	Teodor Haltvik	Sønderjyske Fodbold	80	0.17	0.03	0.20	0	0.23
185	Mads Freundlich	Silkeborg IF	45	0.17	0.02	0.19	0	0.38
185	Sofus Berger	Silkeborg IF	84	0.11	0.08	0.19	0	0.20
185	Youssoufa Moukoko	FC København	179	0.12	0.07	0.19	0	0.10
188	Ousseynou Fall Seck	Randers FC	10	0.17	0.01	0.18	0	1.62
188	Victor Bak Jensen	FC Midtjylland	313	0.06	0.12	0.18	0	0.05
190	Anssi Suhonen	Odense Boldklub	57	0.09	0.08	0.17	0	0.27
190	Stefen Tchamche	AGF	133	0.15	0.02	0.17	0	0.12
192	Lasse Legolas	Odense Boldklub	39	0.11	0.05	0.16	0	0.37
192	Tobias Mølgaard	AGF	161	0.14	0.02	0.16	0	0.09
192	John Björkengren	Randers FC	398	0.14	0.02	0.16	0	0.04
195	Markus Walker	FC Nordsjælland	100	0.13	0.01	0.14	2	0.13
195	Jacob Ambaek	Brøndby IF	146	0.13	0.01	0.14	0	0.09
195	Victor Nelsson	FC Nordsjælland	270	0.03	0.11	0.14	0	0.05
195	Alexander Simmelhack	Silkeborg IF	59	0.12	0.02	0.14	0	0.21
195	Nikolaj Juul-Sandberg	Odense Boldklub	206	0.02	0.12	0.14	0	0.06
200	Lucas Lissens	Randers FC	121	0.11	0.02	0.13	0	0.10

xG share
xA share
under 90 minutes

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

Min: Minutes played.
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.
G+A: Goals and assists added.
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 →