Eliteserien

Eliteserien expected goal involvement 2026/2027

Eliteserien players ranked by expected goal involvement (xGI), xG plus xA, in 2026/2027, every player with minutes included. Zlatko Tripić has the most expected goal involvement, 16.82 xGI from 1653 minutes.

Showing 101–150 of 441 players

Eliteserien expected goal involvement 2026/2027
#	Player	Club	Min	xG	xA	xGI	G+A	xGI/90
101	Markus Johnsgard	HamKam	874	2.72	0.53	3.25	3	0.33
102	Aimar Sher	Sarpsborg 08	1,541	0.76	2.42	3.18	1	0.19
103	Denzel De Roeve	SK Brann	946	0.89	2.28	3.17	3	0.30
103	Halldor Stenevik	Molde FK	1,079	0.35	2.82	3.17	1	0.26
103	Martin Gjone	HamKam	1,526	1.73	1.44	3.17	6	0.19
106	Oskar Øhlenschlaeger	Fredrikstad FK	1,297	1.82	1.28	3.10	4	0.22
107	James Ampofo	IK Start	613	2.81	0.28	3.09	0	0.45
108	Daniel Braut	Tromsø IL	530	2.67	0.36	3.03	3	0.51
109	Samukelo Kabini	Molde FK	1,335	1.46	1.53	2.99	2	0.20
110	Adrian Nilsen Pereira	Rosenborg BK	920	1.19	1.73	2.92	2	0.29
111	Edvard Pettersen	Sandefjord Fotball	1,331	2.27	0.63	2.90	3	0.20
112	Erlend Dahl Reitan	IK Start	1,718	1.47	1.42	2.89	2	0.15
113	Robin Rasch	KFUM Oslo	949	0.37	2.50	2.87	2	0.27
113	Alexander Munksgaard	Kristiansund BK	1,317	0.19	2.68	2.87	2	0.20
115	Anders Hiim	Sarpsborg 08	1,839	0.34	2.52	2.86	1	0.14
116	Deni Dashaev	IK Start	331	1.10	1.72	2.82	1	0.77
117	Edvin Austbø	Viking FK	667	1.50	1.31	2.81	3	0.38
117	Rocco Robert Shein	Fredrikstad FK	966	1.29	1.52	2.81	3	0.26
117	Fredrik Holmé	Fredrikstad FK	1,616	1.88	0.93	2.81	3	0.16
120	Vetle Walle Egeli	Sandefjord Fotball	1,723	1.02	1.77	2.79	2	0.15
121	Ruben Alte	Viking FK	828	1.35	1.41	2.76	2	0.30
122	Teodor Haltvik	KFUM Oslo	549	2.51	0.18	2.69	4	0.44
123	Simen Hestnes	KFUM Oslo	925	1.35	1.32	2.67	2	0.26
123	Joe Bell	Viking FK	1,033	0.71	1.96	2.67	1	0.23
125	Sander Risan Mörk	Sandefjord Fotball	1,855	1.20	1.45	2.65	1	0.13
126	Bjorn Martin Kristensen	KFUM Oslo	819	2.28	0.35	2.63	3	0.29
126	Magnus Westergaard	Vålerenga IF	1,322	1.64	0.99	2.63	2	0.18
128	Gustav Kjolstad Nyheim	Lillestrøm SK	1,282	1.47	1.15	2.62	6	0.18
129	Noah Sahsah	Rosenborg BK	646	1.82	0.78	2.60	5	0.36
130	Heine Gikling Bruseth	Kristiansund BK	1,371	0.86	1.73	2.59	2	0.17
131	Marius Andresen	Aalesunds FK	823	1.08	1.50	2.58	1	0.28
131	Jonas Lange Hjorth	KFUM Oslo	1,181	0.74	1.84	2.58	3	0.20
133	Mohamed Ofkir	Vålerenga IF	474	1.79	0.78	2.57	6	0.49
134	Kristoffer Nessø	Aalesunds FK	1,149	0.89	1.60	2.49	0	0.20
135	Bendik Berntsen	Sandefjord Fotball	784	1.60	0.86	2.46	2	0.28
136	Vebjørn Hoff	Molde FK	911	0.74	1.71	2.45	1	0.24
136	Hakon Helland Hoseth	KFUM Oslo	1,360	1.86	0.59	2.45	6	0.16
138	Adrian Kurd Rønning	Kristiansund BK	985	1.74	0.69	2.43	2	0.22
139	Anton Ekeroth	HamKam	1,013	0.47	1.93	2.40	2	0.21
140	Mustapha Isah	Kristiansund BK	926	2.13	0.23	2.36	2	0.23
141	Aslak Witry	Rosenborg BK	1,012	0.97	1.36	2.33	1	0.21
141	Mikael Ugland	IK Start	1,379	0.65	1.68	2.33	1	0.15
143	Erik Botheim	Viking FK	169	2.22	0.07	2.29	3	1.22
143	Eirik Franke Saunes	KFUM Oslo	1,541	1.17	1.12	2.29	0	0.13
145	Magnus Wolff Eikrem	KFUM Oslo	514	0.89	1.39	2.28	4	0.40
146	Viðar Ari Jónsson	HamKam	1,067	1.01	1.25	2.26	2	0.19
147	Magnus Grødem	KFUM Oslo	599	1.40	0.85	2.25	2	0.34
148	Max Nilsson	Fredrikstad FK	965	1.14	1.10	2.24	3	0.21
148	Claus Niyukuri	Sarpsborg 08	1,341	1.27	0.97	2.24	6	0.15
150	Nikolas Koutsakos	IK Start	231	2.11	0.12	2.23	0	0.87

xG share
xA share
under 90 minutes

What the data shows

Zlatko Tripić has 3.34 xGI more than Peter Christiansen, the next-highest.

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 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 →