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 101–150 of 295 players

Superliga (Denmark) expected goal involvement 2026/2027
#	Player	Club	Min	xG	xA	xGI	G+A	xGI/90
101	Marcos López	FC København	504	0.08	0.86	0.94	2	0.17
101	Martin Sjølstad	Randers FC	587	0.44	0.50	0.94	1	0.14
101	Marcus McCoy	Odense Boldklub	738	0.48	0.46	0.94	0	0.11
104	Alex Král	FC København	569	0.17	0.76	0.93	3	0.15
105	Asbjorn Bøndergaard	Lyngby	219	0.89	0.03	0.92	0	0.38
105	Lamine Sadio	FC Nordsjælland	253	0.76	0.16	0.92	0	0.33
105	Thapelo Maseko	FC København	176	0.30	0.62	0.92	2	0.47
108	Marko Divković	Brøndby IF	378	0.07	0.80	0.87	1	0.21
108	Mats Köhlert	Brøndby IF	442	0.10	0.77	0.87	1	0.18
110	Maher Carrizo	FC København	28	0.85	0.01	0.86	1	2.76
110	Ole Kolskogen	AC Horsens	756	0.76	0.10	0.86	1	0.10
112	Denil Castillo	FC Midtjylland	460	0.43	0.40	0.83	1	0.16
113	Jimi Tauriainen	AC Horsens	295	0.27	0.55	0.82	3	0.25
113	Junnosuke Suzuki	FC København	447	0.24	0.58	0.82	2	0.17
115	Sabil Hansen	Randers FC	580	0.06	0.75	0.81	2	0.13
116	Levy Nene	FC Nordsjælland	64	0.45	0.35	0.80	0	1.13
117	Julius Berthel Askou	Odense Boldklub	663	0.53	0.26	0.79	0	0.11
118	Hjalte Bidstrup	Viborg FF	260	0.05	0.73	0.78	0	0.27
118	Laurits Pedersen	Randers FC	737	0.56	0.22	0.78	3	0.10
120	Alexander Lyng	Sønderjyske Fodbold	100	0.43	0.34	0.77	0	0.69
120	Chidiebube Duru	Sønderjyske Fodbold	747	0.40	0.37	0.77	0	0.09
122	Mads Bech Sørensen	FC Midtjylland	405	0.42	0.33	0.75	1	0.17
123	Matthew Hoppe	Sønderjyske Fodbold	306	0.33	0.38	0.71	0	0.21
123	Mathias Greve	Randers FC	697	0.22	0.49	0.71	0	0.09
125	Malthe Hansen	Silkeborg IF	106	0.68	0.02	0.70	1	0.59
126	Martin Erlić	FC Midtjylland	447	0.52	0.17	0.69	1	0.14
126	Valdemar Byskov	FC Midtjylland	197	0.25	0.44	0.69	3	0.32
126	Jordi Vanlerberghe	Brøndby IF	638	0.45	0.24	0.69	1	0.10
129	Daniel Wass	Brøndby IF	49	0.08	0.58	0.66	0	1.21
130	Magnus Knudsen	AGF	661	0.25	0.40	0.65	2	0.09
131	Felix Beijmo	FC København	810	0.17	0.44	0.61	1	0.07
132	Peter Therkildsen	Odense Boldklub	287	0.30	0.28	0.58	0	0.18
133	Jona Niemiec	Odense Boldklub	104	0.53	0.04	0.57	0	0.49
134	Daniel Freyr Kristjansson	Lyngby	162	0.11	0.45	0.56	0	0.31
134	Gabriel Pereira	FC København	367	0.26	0.30	0.56	0	0.14
134	Žan Zaletel	Viborg FF	720	0.16	0.40	0.56	1	0.07
134	Alexander Munksgaard	Sønderjyske Fodbold	449	0.21	0.35	0.56	2	0.11
138	Thomas Delaney	FC København	406	0.11	0.43	0.54	0	0.12
138	Eric Kahl	AGF	598	0.04	0.50	0.54	0	0.08
138	Lukas Kirkegaard	Viborg FF	809	0.28	0.26	0.54	0	0.06
141	Hector Høyrup	Randers FC	86	0.31	0.22	0.53	1	0.55
142	Cornelius Allen	Lyngby	107	0.44	0.07	0.51	0	0.43
143	William Clem	FC København	589	0.25	0.25	0.50	1	0.08
144	Ulrik Jenssen	Odense Boldklub	296	0.39	0.09	0.48	0	0.15
145	Younes Bakiz	Silkeborg IF	129	0.37	0.10	0.47	0	0.33
145	Munashe Garananga	Lyngby	567	0.41	0.06	0.47	0	0.07
147	Daniel Høegh	Randers FC	810	0.20	0.26	0.46	0	0.05
148	Philip Keller	Viborg FF	126	0.12	0.32	0.44	1	0.31
148	Dalton Wilkins	Sønderjyske Fodbold	215	0.12	0.32	0.44	1	0.18
150	Bubacarr Tambedou	Sønderjyske Fodbold	137	0.36	0.06	0.42	1	0.28

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 →