Eliteserien

Eliteserien expected goal involvement 2026/2027

Every Eliteserien 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.

Zlatko Tripić tops the competition on 16.82 expected goal involvement, from 1653 minutes. That is 3.34 clear of Peter Christiansen. Of that, 5.79 is the chances he took himself and 11.03 the chances he made.

Showing 51–100 of 441 players

Eliteserien expected goal involvement 2026/2027
#	Player	Club	Min	xG	xA	xGI	G+A	xGI/90
51	Leo Cornic	SK Brann	1,453	2.29	2.84	5.13	2	0.32
52	Tom Strannegård	IK Start	1,509	0.86	4.26	5.12	5	0.31
53	Kristoffer Haugen	Viking FK	1,268	1.81	3.29	5.10	4	0.36
54	Bård Finne	SK Brann	627	2.42	2.64	5.06	7	0.73
55	Uba Charles	Aalesunds FK	1,552	1.94	3.00	4.94	4	0.29
56	Aksel Baran Potur	HamKam	1,418	2.60	2.26	4.86	5	0.31
57	Marcus Haagensen Reed	Aalesunds FK	798	3.76	1.02	4.78	5	0.54
58	David Edvardsson	Tromsø IL	1,709	1.48	3.28	4.76	4	0.25
59	Jens Hjertø-Dahl	Tromsø IL	1,202	3.66	1.04	4.70	9	0.35
60	Ola Brynhildsen	Bodø/Glimt	680	2.53	2.16	4.69	2	0.62
61	Henrik Langaas Skogvold	Fredrikstad FK	1,587	3.89	0.78	4.67	2	0.26
62	Ulrik Mathisen	SK Brann	944	2.02	2.60	4.62	6	0.44
63	Odin Luras Bjørtuft	Bodø/Glimt	1,858	2.48	2.13	4.61	1	0.22
64	Ylldren Ibrahimaj	Lillestrøm SK	1,643	1.64	2.87	4.51	2	0.25
64	Carl Lange	Vålerenga IF	1,771	2.30	2.21	4.51	7	0.23
66	Henrik Heggheim	Viking FK	1,506	2.28	2.21	4.49	7	0.27
66	Lars Ranger	Lillestrøm SK	1,638	2.35	2.14	4.49	3	0.25
68	Filip Thorvaldsen	Vålerenga IF	876	2.67	1.77	4.44	4	0.46
69	Benjamin Faraas	Fredrikstad FK	774	3.92	0.51	4.43	3	0.52
70	Eirik Schulze	IK Start	952	2.54	1.88	4.42	4	0.42
71	Jón Dagur Þórsteinsson	SK Brann	833	1.94	2.40	4.34	3	0.47
72	Endre Hjertager Osenbroch	Aalesunds FK	1,217	2.03	2.20	4.23	9	0.31
73	Henrik Melland	Aalesunds FK	910	2.71	1.49	4.20	4	0.42
73	Samuel Leach Holm	Fredrikstad FK	1,088	0.47	3.73	4.20	3	0.35
75	Lars Olden Larsen	Tromsø IL	1,301	2.28	1.82	4.10	2	0.28
76	Felix Horn Myhre	SK Brann	1,350	1.90	2.18	4.08	3	0.27
77	Ole Selnaes	Rosenborg BK	1,348	0.40	3.62	4.02	9	0.27
78	Sander Hestetun Kilen	Kristiansund BK	1,362	2.40	1.60	4.00	4	0.26
79	Simen Nordli	Rosenborg BK	760	2.83	1.15	3.98	4	0.47
79	Nikolaj Möller	Sandefjord Fotball	1,057	3.41	0.57	3.98	3	0.34
79	Alexander Warneryd	Tromsø IL	1,491	2.19	1.79	3.98	7	0.24
82	Troy Nyhammer	Tromsø IL	822	2.32	1.64	3.96	7	0.43
83	Gianni Stensness	Viking FK	1,665	2.94	0.99	3.93	4	0.21
84	Andreas Hansen	Sarpsborg 08	1,452	1.69	2.21	3.90	3	0.24
85	Iver Fossum	Rosenborg BK	832	2.15	1.69	3.84	4	0.42
86	Dino Islamović	Rosenborg BK	529	3.55	0.28	3.83	2	0.65
87	Oskar Spiten-Nysæter	Molde FK	730	1.81	1.98	3.79	4	0.47
88	Bjorn Utvik	Sarpsborg 08	1,800	1.92	1.86	3.78	1	0.19
89	Sander Christiansen	Sarpsborg 08	1,503	1.98	1.79	3.77	2	0.23
90	Niklas Kemp Fuglestad	Viking FK	725	2.75	0.97	3.72	5	0.46
91	Elias Sørensen	Vålerenga IF	535	2.59	0.97	3.56	1	0.60
92	Petter Strand	Vålerenga IF	748	1.67	1.88	3.55	3	0.43
93	Elias Kristoffersen Hagen	Vålerenga IF	1,671	2.57	0.97	3.54	3	0.19
94	Patrick Metcalfe	HamKam	1,393	0.56	2.93	3.49	6	0.23
95	Isak Dybvik Määttä	Bodø/Glimt	975	1.76	1.66	3.42	1	0.32
96	Frederik Elkær	Lillestrøm SK	890	0.34	3.05	3.39	2	0.34
97	Mame Alassane Niang	HamKam	900	2.79	0.57	3.36	6	0.34
98	Jakob Maslo Dunsby	Sandefjord Fotball	922	1.94	1.39	3.33	1	0.33
99	Sondre Sørløkk	Fredrikstad FK	1,170	2.28	1.01	3.29	1	0.25
100	Rasmus Eggen Vinge	KFUM Oslo	951	1.84	1.44	3.28	3	0.31

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 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 →