NHL Fantasy Goalie Rankings

NHL FANTASY GOALIE RANKINGS

Rank	Player	Team	2025 GP	2025 W	2025 L	Projection Tier	Expected GP	Expected Wins	Win Floor	Win Ceiling	Sv% Range	GAA Range	Risk	Trend
1	Andrei Vasilevskiy	TBL	58	39	15	35+ W	49–63	31–43	31	43	0.900–0.922	2.01–2.66	Low	➡ Stable
2	Karel Vejmelka	UTA	64	38	20	35+ W	54–68	29–41	29	41	0.885–0.907	2.45–3.10	High	➡ Stable
3	Jake Oettinger	DAL	54	35	12	30–34 W	45–59	27–39	27	39	0.887–0.909	2.29–2.94	High	➡ Stable
4	Scott Wedgewood	COL	45	31	6	25–29 W	37–49	23–35	23	35	0.909–0.931	1.80–2.37	Moderate	↗ Breakout/Strong
5	Logan Thompson	WSH	58	31	21	25–29 W	49–63	23–35	23	35	0.900–0.922	2.14–2.79	Low	➡ Stable
6	Jeremy Swayman	BOS	55	31	18	25–29 W	46–60	23–35	23	35	0.896–0.918	2.41–3.06	Moderate	➡ Stable
7	Brandon Bussi	CAR	39	31	6	25–29 W	31–43	23–35	23	35	0.883–0.905	2.17–2.82	High	↗ Breakout/Strong
8	Lukas Dostal	ANA	56	30	20	25–29 W	47–61	22–34	22	34	0.876–0.898	2.80–3.45	High	↘ Regression Risk
9	Ilya Sorokin	NYI	55	29	24	25–29 W	46–60	21–33	21	33	0.894–0.916	2.38–3.03	Moderate	➡ Stable
10	Dan Vladar	PHI	52	29	14	25–29 W	43–57	21–33	21	33	0.894–0.916	2.12–2.77	Moderate	➡ Stable
11	John Gibson	DET	57	29	22	25–29 W	48–62	21–33	21	33	0.889–0.911	2.42–3.07	Moderate	➡ Stable
12	Filip Gustavsson	MIN	50	28	15	25–29 W	41–55	20–32	20	32	0.892–0.914	2.39–3.04	Moderate	➡ Stable
13	Juuse Saros	NSH	59	28	22	25–29 W	50–64	21–33	21	33	0.882–0.904	2.86–3.51	High	↘ Regression Risk
14	Jakub Dobes	MTL	43	29	10	25–29 W	35–47	21–33	21	33	0.889–0.911	2.48–3.13	High	➡ Stable
15	Linus Ullmark	OTT	49	28	12	25–29 W	41–53	20–32	20	32	0.879–0.901	2.43–3.08	High	↘ Regression Risk
16	Sergei Bobrovsky	TOR	52	27	23	25–29 W	43–57	19–31	19	31	0.875–0.895	2.77–3.42	High	↘ Regression Risk
17	Jet Greaves	CBJ	55	26	19	25–29 W	46–60	19–31	19	31	0.896–0.918	2.30–2.95	Moderate	➡ Stable
18	Igor Shesterkin	NYR	51	25	19	20–24 W	42–56	18–30	18	30	0.900–0.922	2.20–2.85	Moderate	➡ Stable
19	Joel Hofer	STL	46	24	13	20–24 W	38–50	16–28	16	28	0.898–0.920	2.31–2.96	Moderate	➡ Stable
20	Mackenzie Blackwood	COL	39	23	10	20–24 W	31–43	15–27	15	27	0.892–0.914	2.21–2.86	High	➡ Stable
21	Dustin Wolf	CGY	57	23	29	20–24 W	48–62	16–28	16	28	0.887–0.909	2.71–3.36	High	↘ Regression Risk
22	Connor Hellebuyck	WPG	57	23	23	20–24 W	48–62	16–28	16	28	0.883–0.905	2.56–3.21	High	↘ Regression Risk
23	Stuart Skinner	WPG	50	23	17	20–24 W	41–55	16–28	16	28	0.876–0.898	2.62–3.27	High	↘ Regression Risk
24	Jacob Markstrom	FLA	44	23	19	20–24 W	36–48	16–28	16	28	0.875–0.895	2.77–3.42	High	➡ Stable
25	Ukko-Pekka Luukkonen	BUF	35	22	9	20–24 W	28–40	15–27	15	27	0.898–0.920	2.22–2.87	High	➡ Stable
26	Yaroslav Askarov	SJS	47	21	20	20–24 W	39–51	14–26	14	26	0.875–0.895	3.33–3.98	High	↘ Regression Risk
27	Tristan Jarry	EDM	33	18	9	20–24 W	26–38	11–23	11	23	0.875–0.895	3.02–3.67	High	↘ Regression Risk
28	Frederik Andersen	EDM	35	16	14	15–19 W	28–40	9–21	9	21	0.875–0.895	2.75–3.40	High	↘ Regression Risk
29	Alex Lyon	BUF	36	20	10	15–19 W	29–41	13–25	13	25	0.895–0.917	2.47–3.12	High	➡ Stable
30	Joey Daccord	SEA	47	20	20	15–19 W	39–51	13–25	13	25	0.885–0.907	2.73–3.38	High	↘ Regression Risk
31	Spencer Knight	CHI	55	19	25	15–19 W	46–60	12–24	12	24	0.890–0.912	2.52–3.17	High	➡ Stable
32	Darcy Kuemper	LAK	50	19	14	15–19 W	41–55	12–24	12	24	0.879–0.901	2.48–3.13	High	↘ Regression Risk
33	Arturs Silovs	PIT	39	19	12	15–19 W	31–43	12–24	12	24	0.876–0.898	2.77–3.42	High	↘ Regression Risk
34	Jesper Wallstedt	MIN	35	18	9	15–19 W	28–40	11–23	11	23	0.904–0.926	2.31–2.96	High	➡ Stable
35	Alex Nedeljkovic	SJS	40	18	14	15–19 W	32–44	11–23	11	23	0.884–0.906	2.57–3.22	High	➡ Stable
36	Jake Allen	NJD	37	17	17	15–19 W	30–42	10–22	10	22	0.892–0.914	2.44–3.09	High	➡ Stable
37	Anton Forsberg	LAK	36	16	12	15–19 W	29–41	9–21	9	21	0.898–0.920	2.27–2.92	High	➡ Stable
38	Connor Ingram	EDM	32	16	10	15–19 W	25–37	9–21	9	21	0.887–0.909	2.30–2.95	High	➡ Stable
39	Akira Schmid	VGK	34	16	10	15–19 W	27–39	9–21	9	21	0.881–0.903	2.29–2.94	High	↘ Regression Risk
40	Casey DeSmith	DAL	30	15	8	15–19 W	24–36	9–21	9	21	0.895–0.917	2.13–2.78	High	➡ Stable
41	Joseph Woll	TOR	39	15	16	10–14 W	31–43	8–20	8	20	0.887–0.909	3.04–3.69	High	↘ Regression Risk
42	David Rittich	NYI	30	14	10	10–14 W	24–36	8–20	8	20	0.882–0.904	2.46–3.11	High	↘ Regression Risk
43	Joonas Korpisalo	BOS	31	14	9	10–14 W	24–36	7–19	7	19	0.882–0.904	2.85–3.50	High	↘ Regression Risk
44	Elvis Merzlikins	CBJ	30	14	11	10–14 W	24–36	8–20	8	20	0.875–0.895	3.10–3.75	High	↘ Regression Risk
45	Samuel Ersson	PHI	33	14	11	10–14 W	26–38	7–19	7	19	0.875–0.895	2.82–3.47	High	↘ Regression Risk
46	Philipp Grubauer	SEA	32	13	12	10–14 W	25–37	6–18	6	18	0.897–0.919	2.35–3.00	High	➡ Stable
47	Daniil Tarasov	FLA	33	13	15	10–14 W	26–38	6–18	6	18	0.883–0.905	2.75–3.40	High	↘ Regression Risk
48	Jordan Binnington	STL	41	13	20	10–14 W	33–45	6–18	6	18	0.875–0.895	3.03–3.68	High	↘ Regression Risk
49	Eric Comrie	WPG	25	12	11	10–14 W	24–36	8–20	8	20	0.878–0.900	2.83–3.48	High	↘ Regression Risk
50	Cam Talbot	DET	34	12	9	10–14 W	27–39	5–17	5	17	0.875–0.895	2.89–3.54	High	↘ Regression Risk

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