NHL Projected Goalie Starts Next Week

Starts are the volume behind every goalie stat: wins, saves and shutouts all need a start. Next Week this is each goalie's projected chance to start; for a week or the rest of the season it is his expected number of starts. The numbers come from LineupExperts' goalie projections (a goalie's projected games are his starts). Confirm Next Week's starters on our starting goalies page before lineups lock (Oct 5-11 (Week 2)). (Oct 5-11 (Week 2))

Today This Week Next Week Rest of Season

Week 2: Oct 5 - Oct 11(Upcoming)

Sunday, October 4, 2026

Updated: 5:16 PM UTC(hourly)

5 games • 54 players

Next Week

a start probability. 0.90 means the goalie is very likely in net; 0.50 means the start is a coin flip between him and his partner.

This week, next week and rest of season

expected starts, the team's games times each goalie's share of the crease.

Where the numbers come from

LineupExperts' goalie projections, shown as published; for goalies their projected games played are starts.

Why it matters

in weekly leagues with goalie start minimums, expected starts are the first thing to check when streaming.

💡

Pro Tip: A starter on a four-game week projects about twice the starts of a tandem goalie on a three-game week. Check the weekly view before streaming.

Sorted by Projected Games Started(Oct 5-11 (Week 2))

54 players

Show

Goalies54 of 54

Player	Team	Pos	Rost%	GS ↓	W	L	OTL	SV	GA	SA	SV%	GAA^†	MIN^†	FPTS
Arturs Silovs	PIT	G	45.1%	4.00	2.40	1.80	0.40	99.9	10.9	110.6	90.3%	2.73	239:37	40.10
John Gibson	DET	G	71.5%	3.00	1.40	1.70	0.30	75.0	9.5	84.8	88.5%	3.19	178:35	23.90
Linus Ullmark	OTT	G	81.1%	3.00	2.00	1.10	0.30	69.1	6.4	72.3	95.5%	2.14	179:31	32.90
Juuse Saros	NSH	G	84.4%	3.00	1.50	1.60	0.20	75.6	8.5	84.5	89.5%	2.85	179:13	27.70
Andrei Vasilevskiy	TB	G	99.0%	3.00	2.00	1.30	0.20	79.1	6.7	84.8	93.3%	2.24	179:29	38.50
Mackenzie Blackwood	COL	G	89.9%	3.00	2.20	0.90	0.20	83.1	6.3	87.6	94.9%	2.10	179:54	42.50
Carter Hart	LV	G	86.6%	3.00	1.80	1.30	0.30	81.8	9.1	91.2	89.7%	3.04	179:29	31.20
Igor Shesterkin	NYR	G	93.3%	3.00	1.40	1.40	0.30	72.4	9.2	83.9	86.3%	3.07	179:35	23.40
Joseph Woll	PHI	G	33.1%	3.00	1.50	1.30	0.40	84.7	7.0	90.3	93.7%	2.34	179:43	37.60
Ilya Sorokin	NYI	G	96.9%	3.00	1.60	1.50	0.30	72.3	6.3	75.1	96.2%	2.10	179:41	33.60
Lukas Dostal	ANA	G	80.7%	3.00	1.80	1.40	0.30	86.6	8.9	95.6	90.5%	2.97	179:49	34.30
Logan Thompson	WAS	G	99.5%	3.00	1.70	1.10	0.30	81.6	8.6	92.6	88.1%	2.87	179:44	32.60
Ukko-Pekka Luukkonen	BUF	G	76.8%	3.00	1.90	1.40	0.30	87.5	9.2	96.1	91.0%	3.07	179:42	35.00
Karel Vejmelka	UTA	G	98.3%	3.00	1.40	1.20	0.30	84.4	6.0	92.0	91.7%	2.01	179:31	40.70
Pyotr Kochetkov	CAR	G	45.4%	3.00	1.90	1.10	0.20	60.4	7.5	67.4	89.7%	2.50	179:55	24.30
Yaroslav Askarov	SJ	G	77.4%	3.00	1.40	1.60	0.30	82.3	8.0	90.5	90.9%	2.68	178:52	32.80
Jesper Wallstedt	MIN	G	94.1%	3.00	1.60	1.20	0.30	73.2	6.4	78.8	92.9%	2.13	179:57	33.40
Jakub Dobes	MON	G	96.1%	3.00	1.80	1.30	0.40	80.5	6.9	84.0	95.9%	2.30	179:53	37.00
Sergei Bobrovsky	TOR	G	88.1%	2.00	1.00	1.00	0.10	54.6	5.7	61.6	88.6%	2.86	119:43	21.00
Anton Forsberg	LA	G	25.5%	2.00	1.00	0.90	0.30	52.7	5.1	57.7	91.3%	2.54	120:34	21.80
Darcy Kuemper	LA	G	58.0%	2.00	1.00	1.00	0.20	53.7	5.3	59.2	90.6%	2.66	119:32	21.90
Charlie Lindgren	WAS	G	11.4%	2.00	0.90	1.10	0.20	53.1	6.7	61.0	87.1%	3.35	120:06	16.90
Jordan Binnington	STL	G	31.2%	2.00	1.00	1.00	0.20	42.0	6.4	48.1	87.2%	3.20	119:49	11.40
Jacob Markstrom	FLA	G	89.1%	2.00	1.20	1.00	0.20	57.3	6.3	63.4	90.4%	3.15	119:54	22.60
Philipp Grubauer	SEA	G	13.6%	2.00	1.10	1.00	0.20	55.0	6.4	59.7	92.1%	3.19	120:16	19.70
Casey DeSmith	DAL	G	17.4%	2.00	1.00	1.00	0.20	52.2	6.1	60.9	85.7%	3.04	120:13	18.50
Michael Dipietro	BOS	G	15.4%	2.00	1.10	1.10	0.20	53.7	6.3	59.7	90.0%	3.15	119:57	19.00
Joey Daccord	SEA	G	53.8%	2.00	1.10	1.00	0.20	50.7	5.5	54.2	93.6%	2.76	119:41	19.90
Daniel Vladar	PHI	G	76.0%	2.00	1.00	0.90	0.20	54.2	4.6	58.0	93.5%	2.31	119:43	24.20
Jake Oettinger	DAL	G	99.0%	2.00	1.00	0.90	0.20	51.8	6.3	60.8	85.2%	3.16	119:42	17.90
Jeremy Swayman	BOS	G	96.9%	2.00	1.20	1.00	0.20	55.5	5.7	61.8	89.8%	2.85	119:55	22.70
Dustin Wolf	CGY	G	66.0%	2.00	0.80	1.20	0.20	48.0	7.2	59.5	80.7%	3.62	119:26	11.80
Spencer Knight	CHI	G	78.7%	2.00	1.00	1.10	0.20	56.3	4.7	60.7	92.7%	2.35	119:55	24.80
Devon Levi	EDM	G	40.8%	2.00	1.00	1.00	0.10	41.9	7.2	49.5	84.6%	3.60	119:55	8.40
Leevi Merilainen	VAN	G	12.8%	2.00	0.80	1.10	0.10	43.6	4.9	49.0	88.9%	2.44	120:30	15.20
Nico Daws	NJ	G	16.9%	2.00	0.80	1.00	0.20	52.9	7.4	63.9	82.8%	3.70	119:57	14.10
Akira Schmid	FLA	G	27.8%	2.00	1.10	0.90	0.30	60.3	6.2	66.9	90.0%	3.08	120:49	23.50
Dylan Garand	NYR	G	13.0%	2.00	0.70	0.50	0.20	29.1	4.0	33.8	86.1%	3.33	72:10	9.50
Jet Greaves	CLB	G	85.6%	2.00	1.00	1.00	0.20	54.3	5.4	61.8	87.9%	2.69	120:15	22.00
Sebastian Cossa	UTA	G	32.2%	2.00	1.00	0.60	0.20	60.3	5.1	68.1	88.6%	2.55	119:57	26.50
Brandon Bussi	CAR	G	96.0%	2.00	1.30	0.70	0.20	40.1	4.9	44.4	90.1%	2.45	120:07	16.10
Devin Cooley	CGY	G	13.7%	2.00	0.80	1.20	0.20	46.7	6.7	58.3	80.1%	3.34	120:29	12.70
Scott Wedgewood	COL	G	95.5%	1.00	0.70	0.30	0.10	27.6	1.8	28.9	95.4%	1.80	59:55	15.00
Jake Allen	NJ	G	54.0%	1.00	0.50	0.50	0.10	25.1	3.3	30.2	83.1%	3.30	60:03	7.70
Alex Nedeljkovic	SJ	G	17.6%	1.00	0.50	0.60	0.10	27.2	2.5	30.0	90.7%	2.48	60:23	11.10
Anthony Stolarz	TOR	G	30.0%	1.00	0.60	0.40	0.10	27.6	2.6	30.9	89.5%	2.61	59:45	11.90
Tristan Jarry	EDM	G	9.4%	1.00	0.40	0.50	0.20	19.8	3.8	23.6	84.1%	3.80	60:01	3.00
Adin Hill	LV	G	23.6%	1.00	0.60	0.40	0.10	27.3	3.0	30.5	89.6%	3.01	59:44	10.90
Alex Lyon	BUF	G	33.4%	1.00	0.60	0.50	0.10	30.4	2.8	33.0	92.2%	2.81	59:53	12.90
Sam Montembeault	MON	G	14.8%	1.00	0.60	0.50	0.10	26.5	2.4	28.4	93.3%	2.40	60:01	11.70
Kevin Lankinen	VAN	G	31.7%	1.00	0.40	0.50	0.10	28.7	2.6	31.5	91.1%	2.61	59:40	11.60
Joel Hofer	STL	G	79.8%	1.00	0.60	0.40	0.10	21.2	2.6	24.2	87.5%	2.60	60:02	8.60
Daniil Tarasov	DET	G	10.6%	1.00	0.50	0.60	0.10	25.5	3.8	29.1	87.9%	3.80	60:02	6.40
Samuel Ersson	OTT	G	9.7%	1.00	0.60	0.40	0.10	22.7	2.4	24.1	94.3%	2.39	60:10	9.60

† 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

Confirmed starters

Check who is confirmed in net next week before your lineup locks.

Starting Goalies

Starts become wins

Goalies with the most projected starts on strong teams lead the win projections.

Goalie Win Projections

Save volume

More starts against busy offences mean more saves.

Saves Projections

Related Projections

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Frequently Asked Questions

Next Week, it is the chance the goalie starts next week: 0.55 is a little better than a coin flip. Over a week or the season the number is expected starts.

LineupExperts' goalie projections, a licensed provider: a goalie's projected games played are his projected starts. We show them as published.

Our starting goalies page tracks confirmed and likely starters for every game and updates through the day.

Workhorse starters take 60 or more of a team's 82 to 84 games; most teams now split closer to 55/45 or 60/40.