Eliteserien

Eliteserien per 90 stats 2026/2027

Every Eliteserien 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.

Trent Kone Doherty leads on expected goal involvement per 90 minutes with 1.04, over 591 minutes played. That is 0.13 clear of Zlatko Tripić.

Showing 51–100 of 313 players

Eliteserien per 90 stats 2026/2027
#	Player	Club	Min	G/90	A/90	xG/90	xA/90	xGI/90
50	Ulrik Mathisen	SK Brann	944	0.10	0.48	0.19	0.25	0.44
50	Kristian Eriksen	SK Brann	1,232	0.29	0.22	0.31	0.13	0.44
50	Ruben Jenssen	Tromsø IL	1,730	0.05	0.42	0.05	0.39	0.44
54	Troy Nyhammer	Tromsø IL	822	0.44	0.33	0.25	0.18	0.43
54	Petter Strand	Vålerenga IF	748	0.24	0.12	0.20	0.23	0.43
56	Sondre Sörli	Sarpsborg 08	1,769	0.20	0.20	0.22	0.20	0.42
56	Eirik Schulze	IK Start	952	0.09	0.28	0.24	0.18	0.42
56	Henrik Melland	Aalesunds FK	910	0.30	0.10	0.27	0.15	0.42
56	Iver Fossum	Rosenborg BK	832	0.32	0.11	0.23	0.18	0.42
56	Johannes Núñez	Fredrikstad FK	349	0.26	0.26	0.21	0.20	0.42
61	Gabriel Wesseh	Fredrikstad FK	270	0.33	0.33	0.30	0.11	0.41
61	Henrik Udahl	HamKam	1,328	0.34	0.00	0.37	0.04	0.41
61	Emil Konradsen Ceide	Rosenborg BK	1,728	0.26	0.26	0.15	0.25	0.41
64	Magnus Wolff Eikrem	KFUM Oslo	514	0.35	0.35	0.16	0.24	0.40
64	Mads Bomholt	Rosenborg BK	1,778	0.10	0.25	0.14	0.25	0.40
64	Victor Emanuel Halvorsen	Sarpsborg 08	1,252	0.22	0.14	0.24	0.16	0.40
67	Daniel Bassi	Lillestrøm SK	474	0.00	0.19	0.20	0.19	0.39
67	Evangelos Patoulidis	Sandefjord Fotball	1,375	0.26	0.00	0.13	0.25	0.39
67	David Benjamin	HamKam	388	0.00	0.46	0.07	0.32	0.39
67	Emil Breivik	Molde FK	1,884	0.33	0.38	0.23	0.16	0.39
67	Sebastian Holm Mathisen	Sandefjord Fotball	430	0.42	0.00	0.31	0.07	0.39
72	Hakon Lorentzen	IK Start	1,385	0.19	0.19	0.23	0.16	0.38
72	Edvin Austbø	Viking FK	667	0.27	0.13	0.20	0.18	0.38
72	Leander Alvheim	Kristiansund BK	1,561	0.58	0.00	0.36	0.01	0.38
75	Oscar Kapskarmo	Sandefjord Fotball	395	0.23	0.46	0.35	0.02	0.37
75	Loris Mettler	HamKam	494	0.18	0.36	0.13	0.24	0.37
75	Kristian Lonebu	Aalesunds FK	1,318	0.48	0.07	0.28	0.08	0.37
78	Noah Sahsah	Rosenborg BK	646	0.70	0.00	0.25	0.11	0.36
78	Kristoffer Haugen	Viking FK	1,268	0.21	0.07	0.13	0.23	0.36
80	Davíð Snær Jóhannsson	Aalesunds FK	515	0.00	0.17	0.23	0.12	0.35
80	Simen Kvia-Egeskog	Viking FK	1,449	0.50	0.12	0.25	0.11	0.35
80	Jens Hjertø-Dahl	Tromsø IL	1,202	0.52	0.15	0.27	0.08	0.35
80	Michael Opoku	Sarpsborg 08	306	0.00	0.29	0.21	0.14	0.35
80	Samuel Leach Holm	Fredrikstad FK	1,088	0.08	0.17	0.04	0.31	0.35
85	Frederik Elkær	Lillestrøm SK	890	0.00	0.20	0.03	0.31	0.34
85	Nikolaj Möller	Sandefjord Fotball	1,057	0.26	0.00	0.29	0.05	0.34
85	Henrik Bjørdal	Vålerenga IF	1,520	0.18	0.41	0.14	0.20	0.34
85	Magnus Grødem	KFUM Oslo	599	0.30	0.00	0.21	0.13	0.34
85	Mame Alassane Niang	HamKam	900	0.60	0.00	0.28	0.06	0.34
90	Markus Johnsgard	HamKam	874	0.21	0.10	0.28	0.05	0.33
90	Blerton Isufi	HamKam	420	0.21	0.00	0.11	0.23	0.33
90	Eggert Aron Guðmundsson	SK Brann	318	0.28	0.00	0.15	0.17	0.33
90	Kristoffer Askildsen	Viking FK	1,660	0.27	0.05	0.18	0.14	0.33
90	Jakob Maslo Dunsby	Sandefjord Fotball	922	0.10	0.00	0.19	0.14	0.33
95	Olaus Skarsem	Sarpsborg 08	546	0.16	0.00	0.14	0.18	0.32
95	Leo Cornic	SK Brann	1,453	0.00	0.12	0.14	0.18	0.32
95	Isak Dybvik Määttä	Bodø/Glimt	975	0.09	0.00	0.16	0.15	0.32
98	Endre Hjertager Osenbroch	Aalesunds FK	1,217	0.37	0.30	0.15	0.16	0.31
98	Mathias Christensen	Aalesunds FK	1,642	0.44	0.11	0.17	0.14	0.31
98	Rasmus Eggen Vinge	KFUM Oslo	951	0.28	0.00	0.17	0.14	0.31

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 Eliteserien 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 →