Player dataGoalkeeping

Goalkeeper performance data

All leagues · 2025/2026

Compare goalkeeper workload and outcomes: saves, goals conceded, claims, punches and penalties saved.

39 eligible of 90 in this population / minimum 450 minutes

SeasonLeagueTeamMinimum minutes

Goalkeeper performance data, sorted by Saves / 90
#	Player	Team	Min
1	Nicolai Larsen	Silkeborg IF	2,789	4.55	3.13	68.4%	2.10	1.23	0.71	—
2	Mattias Lamhauge	Fredericia	1,350	4.27	2.33	63.4%	2.47	0.87	0.67	—
3	Kelle Roos	Kilmarnock	990	4.00	2.64	62.9%	2.36	0.36	0.91	2
4	Per Kristian Bråtveit	Aberdeen	450	3.80	2.40	67.9%	1.80	0.40	0.40	—
5	Jon McCracken	Dundee	3,126	3.77	2.48	70.1%	1.61	0.52	0.40	—
6	Dave Richards	Dundee United	1,472	3.73	1.96	72.6%	1.41	0.24	0.31	1
7	Tobi Oluwayemi	Kilmarnock	1,080	3.67	2.00	67.7%	1.75	0.58	0.75	1
8	Patrick Pentz	Brøndby IF	2,805	3.50	2.21	75.2%	1.16	0.80	0.32	—
9	Andreas Hansen	Nordsjælland	2,430	3.48	2.33	74.0%	1.22	0.89	0.30	1
10	Igor Vekic	Vejle Boldklub	2,520	3.39	2.36	62.9%	2.00	0.79	0.71	—
11	Elías Ólafsson	FC Midtjylland	2,430	3.33	2.26	76.9%	1.00	1.19	0.26	1
12	Yevgeniy Kucherenko	Dundee United	1,080	3.33	1.67	66.7%	1.67	0.92	1.33	—
13	Paul Izzo	Randers FC	2,340	3.31	1.77	69.9%	1.42	1.38	0.31	—
14	Nicolai Flø	Sønderjyske Fodbold	691	3.26	2.08	61.0%	2.08	0.78	0.26	—
15	Maksymilian Stryjek	Kilmarnock	1,080	3.17	2.42	77.6%	0.92	1.00	0.83	1
16	Dimitar Mitov	Aberdeen	2,880	3.13	2.00	69.9%	1.34	0.97	0.56	—
17	Scott Bain	Falkirk	2,864	3.11	2.17	67.3%	1.51	0.22	0.50	1
18	Jesper Hansen	AGF	2,700	3.03	2.17	75.8%	0.97	0.73	0.47	—
19	Lucas Lund	Viborg FF	2,880	3.03	2.13	65.5%	1.59	0.59	0.72	—
20	Shamal George	St. Mirren	2,888	3.02	1.96	66.9%	1.50	0.72	0.19	—
21	Jérôme Prior	Livingston	3,420	2.97	1.95	60.1%	1.97	0.84	0.84	1
22	Jordan Smith	Hibernian	525	2.91	1.54	60.7%	1.89	1.71	0.69	—
23	Valdemar Birksø Thorsen	Fredericia	990	2.91	2.36	62.7%	1.73	1.09	1.00	1
24	Viljar Myhra	Odense BK	2,009	2.87	2.33	63.4%	1.66	1.12	1.03	1
25	Raphael Sallinger	Hibernian	2,894	2.83	1.80	73.4%	1.03	0.87	0.56	—
26	Marcus Bundgaard	Sønderjyske Fodbold	2,099	2.79	1.76	67.7%	1.33	0.77	0.39	—
27	Calum Ward	Motherwell	3,330	2.76	1.84	73.9%	0.97	0.92	0.32	—
28	Jack Butland	Rangers	3,420	2.74	2.00	70.7%	1.13	0.45	0.29	4
29	Ashley Maynard-Brewer	Dundee United	868	2.59	1.97	59.5%	1.76	0.41	0.52	—
30	Nicky Hogarth	Falkirk	556	2.59	1.30	53.3%	2.27	0.81	1.29	—
31	Dominik Kotarski	FC København	2,820	2.59	1.53	66.4%	1.31	0.57	0.45	—
32	Jannich Storch	Randers FC	540	2.50	1.33	60.0%	1.67	0.33	0.50	1
33	Kasper Schmeichel	Celtic	2,340	2.31	1.73	69.8%	1.00	0.31	0.31	—
34	Jonas Lössl	FC Midtjylland	450	2.20	1.20	55.0%	1.80	1.20	0.60	1
35	Alexander Schwolow	Hearts	2,835	2.03	1.27	71.1%	0.83	0.41	0.44	—
36	Ross Sinclair	St. Mirren	450	2.00	1.60	—	1.40	0.60	0.60	—
37	Viljami Sinisalo	Celtic	1,080	1.92	1.25	60.5%	1.25	0.25	0.83	—
38	Theo Sander	Odense BK	599	1.80	0.90	44.4%	2.25	0.90	0.30	—
39	William Lykke	Nordsjælland	450	1.60	1.00	38.1%	2.60	0.60	0.20	1

Figures come from completed fixtures recorded by the data provider. A statistic the provider never recorded is shown as not available, never as zero. Percentages are withheld until the player reaches the minimum sample for that column: Save % needs 20 shots faced.

Columns marked with a down arrow are ones where a lower figure is the better outcome.

Save percentage depends on how difficult the shots faced were. It does not measure shot-stopping quality on its own.