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 151–200 of 441 players

Eliteserien expected goal involvement 2026/2027
#	Player	Club	Min	xG	xA	xGI	G+A	xGI/90
151	Ousmane Diallo Toure	IK Start	1,219	1.23	0.92	2.15	3	0.16
152	Sivert Sira Hansen	Molde FK	1,556	0.75	1.38	2.13	2	0.12
153	Salim Laghzaoui	Fredrikstad FK	896	1.61	0.49	2.10	1	0.21
153	Vetle Skjaervik	Tromsø IL	1,297	1.09	1.01	2.10	2	0.15
153	Ulrik Fredriksen	Fredrikstad FK	1,531	1.81	0.29	2.10	1	0.12
156	Daniel Daga	Molde FK	712	1.72	0.37	2.09	2	0.26
156	Isak Vadebu	Tromsø IL	1,490	0.75	1.34	2.09	1	0.13
158	Daniel Bassi	Lillestrøm SK	474	1.05	1.02	2.07	1	0.39
158	Niklas Odegard	Kristiansund BK	748	1.05	1.02	2.07	1	0.25
160	Gabriel Rajkovic	Vålerenga IF	323	1.57	0.47	2.04	3	0.57
161	Davíð Snær Jóhannsson	Aalesunds FK	515	1.33	0.70	2.03	1	0.35
161	John Olav Norheim	IK Start	1,225	1.12	0.91	2.03	0	0.15
163	Loris Mettler	HamKam	494	0.72	1.30	2.02	3	0.37
164	Noa Williams	Sarpsborg 08	782	1.13	0.86	1.99	1	0.23
165	Tobias Moi	Viking FK	857	0.85	1.13	1.98	0	0.21
166	Martin Linnes	Molde FK	834	0.64	1.33	1.97	2	0.21
167	Olaus Skarsem	Sarpsborg 08	546	0.87	1.09	1.96	1	0.32
168	Dávid Ďuriš	Rosenborg BK	764	1.67	0.26	1.93	1	0.23
169	Sander Hansen Sjøkvist	KFUM Oslo	909	0.37	1.53	1.90	1	0.19
170	Martin Tangen Vinjor	KFUM Oslo	1,244	1.37	0.52	1.89	4	0.14
171	Fredrik Carson Pedersen	Sandefjord Fotball	1,869	0.74	1.14	1.88	0	0.09
172	Sebastian Holm Mathisen	Sandefjord Fotball	430	1.50	0.34	1.84	2	0.39
173	Promise Meliga	Kristiansund BK	239	1.29	0.54	1.83	3	0.69
174	Karl Linus Alperud	Lillestrøm SK	323	0.78	1.04	1.82	1	0.51
175	Erlend Segberg	IK Start	1,727	0.91	0.90	1.81	6	0.09
175	Jakob Vester	Sandefjord Fotball	763	1.40	0.41	1.81	1	0.21
177	Caleb Zady Sery	Molde FK	640	0.86	0.93	1.79	2	0.25
178	Hakon Butli Hammer	Aalesunds FK	730	0.99	0.79	1.78	2	0.22
179	Jacob Lungi Sørensen	SK Brann	1,413	0.54	1.23	1.77	1	0.11
180	Sander Innvær	Tromsø IL	712	0.43	1.31	1.74	2	0.22
181	Jakob Nyland Örsahl	Aalesunds FK	538	0.25	1.48	1.73	3	0.29
182	David Benjamin	HamKam	388	0.31	1.36	1.67	2	0.39
182	Romano Postema	Viking FK	88	1.23	0.44	1.67	1	1.71
184	Oscar Kapskarmo	Sandefjord Fotball	395	1.54	0.10	1.64	3	0.37
185	Johannes Núñez	Fredrikstad FK	349	0.83	0.78	1.61	2	0.42
186	Ruben Gabrielsen	Lillestrøm SK	1,530	0.32	1.28	1.60	1	0.09
187	Omar Jebali	IK Start	820	0.44	1.13	1.57	2	0.17
188	Vetle Dragsnes	SK Brann	1,235	0.43	1.13	1.56	1	0.11
189	Ethan Amundsen-Day	HamKam	1,788	0.60	0.95	1.55	1	0.08
190	Blerton Isufi	HamKam	420	0.49	1.05	1.54	1	0.33
191	Ulrik Saltnes	Bodø/Glimt	214	0.80	0.70	1.50	0	0.63
192	Ambina Fidèle Brice	Vålerenga IF	599	0.35	1.14	1.49	1	0.22
193	Ferslev Anders Klynge	Bodø/Glimt	159	1.22	0.25	1.47	1	0.83
194	Tobias Kvalvagnes Guddal	Tromsø IL	1,350	1.02	0.44	1.46	1	0.10
195	Wilfred George Igor	Kristiansund BK	1,631	1.08	0.37	1.45	2	0.08
196	Tobias Solheim Dahl	Rosenborg BK	822	0.04	1.38	1.42	1	0.16
197	Eric Kitolano	Lillestrøm SK	739	0.43	0.97	1.40	0	0.17
198	Fredrik Pallesen Knudsen	SK Brann	1,611	0.92	0.45	1.37	0	0.08
199	Foster Apetorgbor	Sandefjord Fotball	240	0.48	0.83	1.31	3	0.49
199	Steve Mvoué	IK Start	902	0.71	0.60	1.31	2	0.13

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 →