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 51–100 of 295 players

Superliga (Denmark) expected goal involvement 2026/2027
#	Player	Club	Min	xG	xA	xGI	G+A	xGI/90
50	Julius Madsen	AC Horsens	787	1.08	0.79	1.87	1	0.21
52	Peter Ankersen	FC Nordsjælland	639	0.74	1.08	1.82	1	0.26
53	Mads Emil Madsen	FC København	460	1.04	0.75	1.79	3	0.35
54	Thomas Jørgensen	Viborg FF	326	0.97	0.81	1.78	1	0.49
55	Marvin Nasnas	FC København	131	1.36	0.40	1.76	2	1.21
55	William Kirk	Silkeborg IF	573	1.63	0.13	1.76	2	0.28
57	Nicklas Røjkjær	FC Nordsjælland	389	0.85	0.89	1.74	1	0.40
58	Mads Søndergaard	Viborg FF	486	1.33	0.35	1.68	5	0.31
59	Max Ejdum	Brøndby IF	717	0.85	0.80	1.65	3	0.21
60	Andreas Cornelius	FC København	249	1.37	0.25	1.62	1	0.59
60	Justin Janssen	FC Nordsjælland	688	0.51	1.11	1.62	2	0.21
62	Viktor Bjarki Dadason	FC København	320	1.51	0.09	1.60	1	0.45
63	Magnus Jensen	Sønderjyske Fodbold	694	0.89	0.65	1.54	2	0.20
64	Oskar Fenger	Brøndby IF	331	1.22	0.31	1.53	2	0.42
65	Christian Gammelgaard	Odense Boldklub	369	0.40	1.10	1.50	0	0.37
66	Adam Sørensen	Odense Boldklub	342	0.50	0.95	1.45	0	0.38
66	Mikael Anderson	AGF	475	0.72	0.73	1.45	0	0.27
68	Daníel Grétarsson	Sønderjyske Fodbold	532	0.63	0.80	1.43	0	0.24
69	Tobias Bech	AGF	528	0.86	0.55	1.41	1	0.24
70	Asger Sørensen	FC København	452	1.10	0.27	1.37	1	0.27
71	Patrick Mortensen	Brøndby IF	275	1.22	0.14	1.36	1	0.45
72	Jacob Bonde	AC Horsens	357	1.21	0.13	1.34	2	0.34
73	Gue-sung Cho	FC Midtjylland	514	1.03	0.30	1.33	2	0.23
73	Alagie Saine	AC Horsens	810	0.66	0.67	1.33	1	0.15
75	Kasper Junker	Randers FC	431	1.25	0.06	1.31	2	0.27
76	Oliver Højer	Lyngby	344	0.78	0.52	1.30	0	0.34
77	Maxime Soulas	Sønderjyske Fodbold	810	0.23	1.06	1.29	1	0.14
78	Adrian Justinussen	AC Horsens	481	1.11	0.17	1.28	2	0.24
79	Filip Bundgaard	Brøndby IF	450	0.58	0.69	1.27	0	0.25
80	Luis Binks	Brøndby IF	720	0.61	0.65	1.26	3	0.16
81	Bartosz Slisz	Brøndby IF	719	0.43	0.78	1.21	2	0.15
82	Sefer Emini	Sønderjyske Fodbold	549	0.19	0.99	1.18	2	0.19
83	Magnus Andersen	Odense Boldklub	390	0.11	1.05	1.16	0	0.27
83	Renzo Tytens	Lyngby	723	0.79	0.37	1.16	1	0.14
85	Villads Westh	Silkeborg IF	750	0.27	0.87	1.14	4	0.14
86	Victor Pálsson	AC Horsens	809	0.45	0.67	1.12	1	0.12
87	Frederik Gytkjær	Lyngby	137	1.08	0.02	1.10	1	0.72
87	Gift Links	AGF	268	0.46	0.64	1.10	0	0.37
89	Kjell Wätjen	FC Midtjylland	301	0.70	0.39	1.09	0	0.33
90	Franculino Djú	FC Midtjylland	270	0.59	0.49	1.08	1	0.36
90	Rasmus Kristensen	FC Midtjylland	785	0.59	0.49	1.08	1	0.12
92	Oliver Villadsen	Brøndby IF	730	0.20	0.87	1.07	0	0.13
93	Mikkel Fischer	Lyngby	810	0.09	0.97	1.06	0	0.12
94	Sofus Johannesen	FC Midtjylland	283	0.28	0.71	0.99	0	0.31
95	Osaze De Rosario	Sønderjyske Fodbold	259	0.65	0.31	0.96	3	0.33
95	Jacob Christensen	Sønderjyske Fodbold	334	0.29	0.67	0.96	2	0.26
95	Birger Meling	FC København	406	0.27	0.69	0.96	5	0.21
95	Nikolas Dyhr	Randers FC	611	0.55	0.41	0.96	0	0.14
95	Jens Martin Gammelby	Silkeborg IF	791	0.75	0.21	0.96	0	0.11
100	Srđan Kuzmić	Viborg FF	488	0.52	0.43	0.95	0	0.18

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 →