Swiss Super League

Swiss Super League expected goal involvement 2026/2027

Every Swiss Super League 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.

Samuel Essende tops the competition on 7.93 expected goal involvement, from 790 minutes. Of that, 7.05 is the chances he took himself and 0.88 the chances he made.

Showing 101–150 of 289 players

Swiss Super League expected goal involvement 2026/2027
#	Player	Club	Min	xG	xA	xGI	G+A	xGI/90
101	Simone Stroscio	Grasshopper Club Zürich	810	0.03	0.98	1.01	1	0.11
102	Ludwig Thorell	Basel	397	0.05	0.95	1.00	0	0.23
103	Niklas Lang	FC Vaduz	190	0.96	0.02	0.98	0	0.46
104	Mohamed Bangoura	FC Zürich	103	0.95	0.02	0.97	1	0.85
104	Leonardo Bertone	FC Luzern	810	0.56	0.41	0.97	0	0.11
106	Marc Gutbub	FC Thun	162	0.65	0.29	0.94	3	0.52
106	Fode Sylla	FC Sion	343	0.62	0.32	0.94	1	0.25
108	David Datro Fofana	Servette FC	217	0.90	0.03	0.93	1	0.39
108	Lilian Njoh	Servette FC	488	0.05	0.88	0.93	1	0.17
108	Ezgjan Alioski	FC Lugano	201	0.32	0.61	0.93	0	0.42
111	Bung Meng Freimann	FC Luzern	540	0.66	0.26	0.92	0	0.15
112	Bradley Mazikou	Servette FC	703	0.11	0.78	0.89	1	0.11
112	Abdou Karim Sow	FC Lausanne-Sport	810	0.77	0.12	0.89	0	0.10
112	Liam Scott Chipperfield	FC Sion	111	0.41	0.48	0.89	0	0.72
115	Aurelio Oehlers	FC Luzern	81	0.38	0.48	0.86	1	0.96
115	Nassim Zoukit	FC Thun	463	0.35	0.51	0.86	0	0.17
117	Enzo Molebe	FC Lausanne-Sport	324	0.68	0.17	0.85	1	0.24
117	Mattia Zanotti	FC Lugano	377	0.39	0.46	0.85	1	0.20
119	Manex Gibelalde Mújika	Grasshopper Club Zürich	447	0.51	0.33	0.84	1	0.17
119	Morgan Poaty	FC Lausanne-Sport	804	0.19	0.65	0.84	0	0.09
121	Luca Mack	FC Vaduz	756	0.06	0.75	0.81	0	0.10
121	Keigo Tsunemoto	Basel	801	0.07	0.74	0.81	0	0.09
123	Nevio Scherrer	FC St. Gallen 1879	231	0.54	0.25	0.79	2	0.31
123	Hugo Vandermersch	FC St. Gallen 1879	562	0.32	0.47	0.79	0	0.13
125	Neil Volken	FC Zürich	422	0.03	0.75	0.78	0	0.17
125	Flavius Daniliuc	Basel	810	0.58	0.20	0.78	1	0.09
127	Sekou Kone	FC Lausanne-Sport	532	0.04	0.73	0.77	1	0.13
127	Brandon Soppy	FC Lausanne-Sport	688	0.09	0.68	0.77	0	0.10
129	Seydou Traore	FC Lausanne-Sport	197	0.39	0.37	0.76	1	0.35
129	Isaac Schmidt	Young Boys	326	0.08	0.68	0.76	0	0.21
131	Bekhruz Karimov	FC Lugano	379	0.23	0.51	0.74	2	0.18
131	Olivier Custodio	FC Lausanne-Sport	559	0.25	0.49	0.74	0	0.12
133	Leandro Schödler	FC Zürich	748	0.46	0.26	0.72	1	0.09
134	Livano Comenencia	FC Zürich	436	0.55	0.16	0.71	1	0.15
134	Bung Hua Freimann	FC Luzern	532	0.68	0.03	0.71	0	0.12
134	Marco Burch	Servette FC	810	0.58	0.13	0.71	1	0.08
137	Yannick Bettkober	Grasshopper Club Zürich	450	0.66	0.04	0.70	0	0.14
138	Mihailo Stevanović	FC St. Gallen 1879	660	0.25	0.42	0.67	0	0.09
139	Enoch Owusu	FC St. Gallen 1879	249	0.41	0.25	0.66	3	0.24
140	Din Ramic	FC Zürich	57	0.27	0.38	0.65	0	1.03
140	Tom Strannegård	FC Thun	383	0.20	0.45	0.65	0	0.15
142	Selmin Hodza	FC Zürich	435	0.01	0.63	0.64	1	0.13
143	Florian Ayé	Servette FC	230	0.59	0.04	0.63	0	0.25
143	Tiemoko Ouattara	Servette FC	297	0.54	0.09	0.63	1	0.19
145	Edin Etoski	Young Boys	70	0.47	0.15	0.62	1	0.80
145	Quentin Maceiras	Servette FC	482	0.10	0.52	0.62	0	0.12
147	Levy Nene	FC Lausanne-Sport	183	0.40	0.18	0.58	1	0.29
147	Dejan Đokić	FC Vaduz	201	0.43	0.15	0.58	0	0.26
149	Bahereba Guirassy	Young Boys	63	0.25	0.31	0.56	1	0.80
149	Layton Stewart	FC Thun	244	0.54	0.02	0.56	1	0.21

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 Swiss Super League 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 →