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 301–350 of 441 players

Eliteserien expected goal involvement 2026/2027
#	Player	Club	Min	xG	xA	xGI	G+A	xGI/90
301	Sander Erik Kartum	Aalesunds FK	133	0.18	0.20	0.38	1	0.26
301	Cheick Mbacke Diop	SK Brann	495	0.31	0.07	0.38	0	0.07
303	Gustav Christensen	Kristiansund BK	231	0.21	0.16	0.37	0	0.14
303	Johan Johanessen Bakke	Rosenborg BK	277	0.14	0.23	0.37	0	0.12
303	Jacob Christensen	Molde FK	483	0.16	0.21	0.37	0	0.07
303	Fredrik Tobias Berglie	KFUM Oslo	1,145	0.19	0.18	0.37	0	0.03
307	Jesper Reitan-Sunde	Rosenborg BK	107	0.32	0.04	0.36	0	0.30
307	Jacob Blixt Flaten	KFUM Oslo	196	0.07	0.29	0.36	0	0.17
307	Jonathan Norbye	Fredrikstad FK	489	0.05	0.31	0.36	0	0.07
307	Jostein Gundersen	Bodø/Glimt	498	0.06	0.30	0.36	0	0.07
311	Magnar Odegaard	Sarpsborg 08	347	0.08	0.27	0.35	0	0.09
311	Danilo Al-Saed	HamKam	120	0.10	0.25	0.35	1	0.26
311	Halvor Rodolen Opsahl	HamKam	361	0.13	0.22	0.35	1	0.09
314	Ghayas Zahid	Vålerenga IF	220	0.11	0.23	0.34	0	0.14
314	Marius Lode	Sarpsborg 08	653	0.21	0.13	0.34	0	0.05
316	Hilmir Rafn Mikaelsson	Viking FK	87	0.30	0.03	0.33	0	0.34
316	Haakon Haugen	Kristiansund BK	590	0.21	0.12	0.33	0	0.05
318	Jesper Andreas Grundt	Tromsø IL	101	0.27	0.04	0.31	0	0.28
319	Bryan Fiabema	Fredrikstad FK	191	0.26	0.04	0.30	1	0.14
320	Ilir Kukleci	HamKam	135	0.23	0.06	0.29	0	0.19
320	Joshua Kitolano	Bodø/Glimt	195	0.10	0.19	0.29	0	0.13
320	Ulrik Jenssen	Lillestrøm SK	635	0.14	0.15	0.29	0	0.04
323	Neraysho Kasanwirjo	SK Brann	184	0.05	0.23	0.28	0	0.14
323	Altin Ujkani	IK Start	626	0.04	0.24	0.28	1	0.04
325	Hakon Krogelien	Sandefjord Fotball	295	0.24	0.03	0.27	0	0.08
326	Kjartan Mar Kjartansson	SK Brann	26	0.15	0.11	0.26	0	0.90
326	Harald Woxen	Lillestrøm SK	254	0.04	0.22	0.26	0	0.09
328	Dennis Gjengaar	Vålerenga IF	163	0.08	0.17	0.25	0	0.14
329	David Tufekcic	Kristiansund BK	132	0.17	0.07	0.24	1	0.16
329	Eirik Granaas	Fredrikstad FK	104	0.15	0.09	0.24	1	0.21
329	Mamour Ndiaye	Sarpsborg 08	900	0.03	0.21	0.24	0	0.02
332	Mathias Kristensen	Aalesunds FK	13	0.19	0.03	0.22	0	1.52
332	Espen Bjørnsen Garnås	Lillestrøm SK	291	0.09	0.13	0.22	0	0.07
334	Julian Lægreid	SK Brann	29	0.05	0.16	0.21	0	0.65
334	Jakub Jezierski	Fredrikstad FK	111	0.16	0.05	0.21	0	0.17
336	Jonas Torsvik	SK Brann	64	0.10	0.10	0.20	0	0.28
337	Mathias Kjølø	Rosenborg BK	80	0.04	0.15	0.19	0	0.21
338	Rabbi Matondo	SK Brann	30	0.04	0.14	0.18	0	0.54
338	Ervin Gigović	Sandefjord Fotball	155	0.01	0.17	0.18	2	0.10
338	Fredrik Palerud	IK Start	190	0.04	0.14	0.18	0	0.09
338	Nikola Jojić	IK Start	12	0.16	0.02	0.18	0	1.35
338	Camil Mmaee	Sarpsborg 08	40	0.18	0.00	0.18	0	0.40
338	Maciej Soboczynski	Rosenborg BK	49	0.13	0.05	0.18	0	0.33
338	Lukas Hjelleset Gausdal	IK Start	253	0.08	0.10	0.18	0	0.06
345	Santeri Väänänen	Rosenborg BK	446	0.03	0.14	0.17	0	0.03
345	Max Normann Williamsen	Kristiansund BK	343	0.08	0.09	0.17	0	0.04
347	Liam West	Fredrikstad FK	70	0.14	0.02	0.16	0	0.21
348	Jesper Daland	Viking FK	138	0.13	0.02	0.15	0	0.10
349	Sigurd Prestmo	Tromsø IL	40	0.14	0.00	0.14	0	0.32
350	Sander Aske Granheim	IK Start	180	0.10	0.03	0.13	0	0.07

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 →