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 51–100 of 295 players

Superliga (Denmark) xG leaders 2026/2027
#	Player	Club	Min	Shots	xG	npxG	xG/shot	xG/90	G
50	Sami Jalal	Viborg FF	652	11	1.03	1.03	0.09	0.14	0
52	Elies Mahmoud	Randers FC	740	16	0.99	0.99	0.06	0.12	3
53	Lucas Riisgaard	Silkeborg IF	584	9	0.98	0.98	0.11	0.15	2
54	Thomas Jørgensen	Viborg FF	326	3	0.97	0.97	—	0.27	1
54	Oliver Bundgaard	Viborg FF	788	10	0.97	0.97	0.10	0.11	0
56	Fiete Arp	Odense Boldklub	436	15	0.96	0.96	0.06	0.20	2
56	Gustav Fraulo	Lyngby	780	16	0.96	0.96	0.06	0.11	1
58	Frederik Emmery	AGF	689	23	0.93	0.93	0.04	0.12	1
59	Asbjorn Bøndergaard	Lyngby	219	6	0.89	0.89	0.15	0.37	0
59	Magnus Jensen	Sønderjyske Fodbold	694	8	0.89	0.89	0.11	0.12	2
61	Tobias Bech	AGF	528	10	0.86	0.86	0.09	0.15	0
62	Maher Carrizo	FC København	28	2	0.85	0.03	—	2.73	1
62	Nicklas Røjkjær	FC Nordsjælland	389	8	0.85	0.85	0.11	0.20	1
62	Max Ejdum	Brøndby IF	717	11	0.85	0.85	0.08	0.11	1
65	Callum McCowatt	AGF	548	16	0.79	0.79	0.05	0.13	3
65	Renzo Tytens	Lyngby	723	13	0.79	0.79	0.06	0.10	1
67	Oliver Højer	Lyngby	344	6	0.78	0.78	0.13	0.20	0
68	Lamine Sadio	FC Nordsjælland	253	8	0.76	0.76	0.10	0.27	0
68	Ole Kolskogen	AC Horsens	756	2	0.76	0.76	—	0.09	1
70	Jens Martin Gammelby	Silkeborg IF	791	9	0.75	0.75	0.08	0.09	0
71	Peter Ankersen	FC Nordsjælland	639	8	0.74	0.74	0.09	0.10	0
72	Casper Winther	Lyngby	639	11	0.73	0.73	0.07	0.10	1
72	Juho Lähteenmäki	FC Nordsjælland	743	6	0.73	0.73	0.12	0.09	0
74	Mikael Anderson	AGF	475	13	0.72	0.72	0.06	0.14	0
75	Kjell Wätjen	FC Midtjylland	301	7	0.70	0.70	0.10	0.21	0
76	Rasmus Falk	Odense Boldklub	644	7	0.69	0.69	0.10	0.10	0
77	Malthe Hansen	Silkeborg IF	106	4	0.68	0.68	—	0.58	1
78	Mark Brink	FC Nordsjælland	517	5	0.67	0.67	0.13	0.12	1
78	Philip Billing	FC Midtjylland	763	10	0.67	0.67	0.07	0.08	0
80	Alagie Saine	AC Horsens	810	7	0.66	0.66	0.09	0.07	0
81	Osaze De Rosario	Sønderjyske Fodbold	259	9	0.65	0.65	0.07	0.23	2
82	Daníel Grétarsson	Sønderjyske Fodbold	532	6	0.63	0.63	0.11	0.11	0
83	Luis Binks	Brøndby IF	720	10	0.61	0.61	0.06	0.08	1
84	Franculino Djú	FC Midtjylland	270	4	0.59	0.59	—	0.20	1
84	Rasmus Kristensen	FC Midtjylland	785	7	0.59	0.59	0.08	0.07	1
84	Lauge Sandgrav	Lyngby	788	9	0.59	0.59	0.07	0.07	0
87	Filip Bundgaard	Brøndby IF	450	13	0.58	0.58	0.04	0.12	0
88	Laurits Pedersen	Randers FC	737	2	0.56	0.56	—	0.07	1
89	Nikolas Dyhr	Randers FC	611	2	0.55	0.55	—	0.08	0
90	Jona Niemiec	Odense Boldklub	104	3	0.53	0.53	—	0.46	0
90	Julius Berthel Askou	Odense Boldklub	663	5	0.53	0.53	0.11	0.07	0
92	Martin Erlić	FC Midtjylland	447	3	0.52	0.52	—	0.10	1
92	Srđan Kuzmić	Viborg FF	488	4	0.52	0.52	—	0.10	0
94	Justin Janssen	FC Nordsjælland	688	8	0.51	0.51	0.06	0.07	1
95	Adam Sørensen	Odense Boldklub	342	7	0.50	0.50	0.07	0.13	0
96	Marcus McCoy	Odense Boldklub	738	10	0.48	0.48	0.05	0.06	0
97	Gift Links	AGF	268	8	0.46	0.46	0.06	0.15	0
98	Levy Nene	FC Nordsjælland	64	5	0.45	0.45	0.09	0.63	0
98	Jordi Vanlerberghe	Brøndby IF	638	5	0.45	0.45	0.09	0.06	1
98	Victor Pálsson	AC Horsens	809	5	0.45	0.45	0.09	0.05	0

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 →