NHL Projected Goalie Losses This Week

Some points leagues subtract points for goalie losses. These are LineupExperts' projected regulation losses, shown as published: this week, the chance a goalie starts and loses in regulation; over longer intervals, expected losses. The list opens with the goalies projected to take the most losses, useful for leagues that subtract for losses. Overtime and shootout losses are a separate column (OTL) (Sep 28-Oct 4 (Week 1)). (Sep 28-Oct 4 (Week 1))

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Fantasy Week 1: Sep 28 - Oct 4(Mon-Sun)

Sunday, October 4, 2026

Updated: 5:30 PM UTC(hourly)

5 games • 48 players

What counts

a regulation loss charged to the goalie of record. Overtime and shootout losses are counted separately as OTL.

Where the numbers come from

LineupExperts' goalie projections, shown as published.

Reading the list

most projected losses first. Busy starters on weak teams top it; a goalie with many starts can carry many losses and still be worth starting for wins and saves, so read losses next to starts and wins.

💡

Pro Tip: In leagues that subtract for losses, the goalies near the top are the riskiest starts. Compare their projected wins before benching them.

Sorted by Projected Goaltending Losses(Sep 28-Oct 4 (Week 1))

48 players

Show

Goalies48 of 48

Player	Team	Pos	Rost%	L ↓	GS	W	OTL	SV	GA	SA	SV%	GAA^†	MIN^†	FPTS
Igor Shesterkin	NYR	G	93.3%	1.50	3.00	1.80	0.30	94.8	9.2	104.5	90.8%	3.07	179:35	38.90
Carter Hart	LV	G	86.6%	1.40	3.00	1.60	0.30	60.4	9.6	67.3	89.7%	3.21	179:29	15.70
Dustin Wolf	CGY	G	66.0%	1.20	2.00	1.00	0.30	63.2	7.2	70.0	90.4%	3.62	119:26	21.50
John Gibson	DET	G	71.5%	1.10	2.00	1.00	0.20	57.1	4.4	61.2	93.2%	2.22	119:03	26.40
Juuse Saros	NSH	G	84.4%	1.10	2.00	1.10	0.20	61.7	4.7	65.4	94.3%	2.36	119:29	28.50
Joey Daccord	SEA	G	53.8%	1.10	2.00	1.10	0.20	61.7	6.3	68.0	90.8%	3.16	119:41	24.30
Spencer Knight	CHI	G	78.7%	1.10	2.00	1.00	0.20	63.1	7.1	70.3	89.8%	3.55	119:55	22.00
Sergei Bobrovsky	TOR	G	88.1%	1.00	2.00	1.20	0.20	62.9	6.5	68.8	91.3%	3.26	119:43	24.50
Jacob Markstrom	FLA	G	89.1%	1.00	2.00	1.20	0.20	59.7	6.4	65.9	90.7%	3.20	119:54	23.80
Joseph Woll	PHI	G	33.1%	1.00	2.00	1.20	0.30	64.8	7.0	71.8	90.3%	3.51	119:49	24.10
Jeremy Swayman	BOS	G	96.9%	1.00	2.00	1.20	0.20	63.8	6.5	70.6	90.3%	3.25	119:55	25.30
Devon Levi	EDM	G	40.8%	1.00	2.00	1.30	0.10	62.8	7.2	70.3	89.5%	3.60	119:55	22.30
Karel Vejmelka	UTA	G	98.3%	1.00	2.00	1.30	0.20	57.1	5.3	61.9	92.3%	2.66	119:41	25.70
Jet Greaves	CLB	G	85.6%	1.00	2.00	1.10	0.20	56.9	6.5	65.2	87.3%	3.24	120:15	20.60
Lukas Dostal	ANA	G	80.7%	0.90	2.00	1.00	0.20	56.3	5.6	61.7	91.3%	2.80	119:53	22.20
Ukko-Pekka Luukkonen	BUF	G	76.8%	0.90	2.00	1.20	0.20	40.3	4.6	45.0	89.7%	2.95	93:40	17.00
Arturs Silovs	PIT	G	45.1%	0.90	2.00	1.20	0.20	41.9	5.7	47.8	87.6%	2.85	119:49	14.40
Yaroslav Askarov	SJ	G	77.4%	0.90	2.00	1.10	0.30	58.6	6.9	65.8	89.1%	3.47	119:14	20.00
Andrei Vasilevskiy	TB	G	99.0%	0.80	2.00	1.00	0.20	45.5	3.9	48.8	93.2%	1.96	119:40	21.00
Mackenzie Blackwood	COL	G	89.9%	0.80	2.00	1.40	0.20	57.5	5.1	62.4	92.1%	2.55	119:56	26.80
Ilya Sorokin	NYI	G	96.9%	0.80	2.00	1.10	0.20	64.6	4.2	70.0	92.3%	2.10	119:47	32.80
Jesper Wallstedt	MIN	G	94.1%	0.80	2.00	0.90	0.20	50.2	4.3	53.3	94.1%	2.15	119:58	22.40
Jakub Dobes	MON	G	96.1%	0.70	2.00	1.20	0.30	54.6	6.0	63.2	86.5%	3.00	119:55	20.80
Jordan Binnington	STL	G	31.2%	0.60	1.00	0.50	0.10	30.7	3.7	34.2	89.8%	3.71	59:54	10.10
Kevin Lankinen	VAN	G	31.7%	0.60	1.00	0.50	0.10	30.7	3.9	34.7	88.4%	3.92	59:40	9.30
Leevi Merilainen	VAN	G	12.8%	0.60	1.00	0.50	0.10	23.3	3.7	27.0	86.3%	3.68	60:15	5.30
Arvid Soderblom	CHI	G	5.6%	0.60	1.00	0.50	0.10	31.9	3.9	36.2	88.2%	3.90	60:03	9.90
Devin Cooley	CGY	G	13.7%	0.60	1.00	0.50	0.10	30.7	3.3	34.3	89.7%	3.29	60:15	11.10
Anton Forsberg	LA	G	25.5%	0.50	1.00	0.60	0.20	30.2	3.3	33.5	90.2%	3.28	60:17	11.40
Darcy Kuemper	LA	G	58.0%	0.50	1.00	0.60	0.10	30.7	3.4	34.3	89.5%	3.41	59:46	11.40
Charlie Lindgren	WAS	G	11.4%	0.50	1.00	0.60	0.10	30.9	3.0	34.3	90.2%	3.00	60:03	12.70
Jake Allen	NJ	G	54.0%	0.50	1.00	0.60	0.10	31.0	3.3	34.1	90.8%	3.30	60:03	12.00
Philipp Grubauer	SEA	G	13.6%	0.50	1.00	0.60	0.10	33.4	3.7	37.4	89.4%	3.69	60:08	12.10
Tristan Jarry	EDM	G	9.4%	0.50	1.00	0.50	0.20	29.7	3.8	33.4	88.9%	3.80	60:01	9.50
Casey DeSmith	DAL	G	17.4%	0.50	1.00	0.60	0.10	30.7	2.6	33.6	91.2%	2.60	60:07	14.00
Michael Dipietro	BOS	G	15.4%	0.50	1.00	0.60	0.10	30.9	3.6	34.1	90.5%	3.60	59:58	10.60
Daniel Vladar	PHI	G	76.0%	0.50	1.00	0.60	0.10	31.1	3.4	34.6	90.1%	3.41	59:52	11.60
Jake Oettinger	DAL	G	99.0%	0.50	1.00	0.60	0.10	30.4	2.6	33.6	90.6%	2.61	59:51	13.70
Joel Hofer	STL	G	79.8%	0.50	1.00	0.60	0.10	31.0	3.0	34.4	90.2%	3.00	60:02	13.40
Nico Daws	NJ	G	16.9%	0.50	1.00	0.60	0.10	32.6	3.7	36.1	90.5%	3.70	59:58	11.50
Akira Schmid	FLA	G	27.8%	0.50	1.00	0.60	0.20	31.4	3.2	34.8	90.3%	3.18	60:25	12.40
Pyotr Kochetkov	CAR	G	45.4%	0.50	1.00	0.70	0.10	30.2	3.2	33.7	89.7%	3.20	59:58	12.30
Anthony Stolarz	TOR	G	30.0%	0.40	1.00	0.70	0.10	31.8	3.0	34.5	92.2%	3.01	59:45	13.90
Logan Thompson	WAS	G	99.5%	0.40	1.00	0.70	0.10	31.6	2.6	34.7	91.2%	2.60	59:55	15.10
Sebastian Cossa	UTA	G	32.2%	0.40	1.00	0.70	0.10	32.7	3.8	36.9	88.5%	3.80	59:58	12.00
Brandon Bussi	CAR	G	96.0%	0.40	1.00	0.70	0.10	30.0	2.9	33.3	90.1%	2.90	60:03	13.00
Linus Ullmark	OTT	G	81.1%	0.30	1.00	0.70	0.10	25.9	2.1	27.6	94.1%	2.11	59:50	12.80
Dylan Garand	NYR	G	13.0%	0.30	1.00	0.40	0.10	19.0	2.0	21.0	90.5%	2.68	44:50	8.00

† Edgehalla model: derived from LineupExperts' goals, assists and ice-time projection plus NHL history. +/-, shorthanded goals, assists and points are high-variance: the projections are small expected values ranked mostly by ice-time role, and actual totals swing a lot. How the model works