NHL Projected Goalie Starts This Week
Starts are the volume behind every goalie stat: wins, saves and shutouts all need a start. This 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 This Week's starters on our starting goalies page before lineups lock (Sep 28-Oct 4 (Week 1)). (Sep 28-Oct 4 (Week 1))
This 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.
Sorted by Projected Games Started(Sep 28-Oct 4 (Week 1))
48 playersGoalies48 of 48
| Player | Team | Pos | Rost% | GS ↓ | W | L | OTL | SV | GA | SA | SV% | GAA† | MIN† | FPTS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Carter Hart | LV | G | 86.6% | 3.00 | 1.60 | 1.40 | 0.30 | 60.4 | 9.6 | 67.3 | 89.7% | 3.21 | 179:29 | 15.70 |
| Igor Shesterkin | NYR | G | 93.3% | 3.00 | 1.80 | 1.50 | 0.30 | 94.8 | 9.2 | 104.5 | 90.8% | 3.07 | 179:35 | 38.90 |
| John Gibson | DET | G | 71.5% | 2.00 | 1.00 | 1.10 | 0.20 | 57.1 | 4.4 | 61.2 | 93.2% | 2.22 | 119:03 | 26.40 |
| Sergei Bobrovsky | TOR | G | 88.1% | 2.00 | 1.20 | 1.00 | 0.20 | 62.9 | 6.5 | 68.8 | 91.3% | 3.26 | 119:43 | 24.50 |
| Juuse Saros | NSH | G | 84.4% | 2.00 | 1.10 | 1.10 | 0.20 | 61.7 | 4.7 | 65.4 | 94.3% | 2.36 | 119:29 | 28.50 |
| Andrei Vasilevskiy | TB | G | 99.0% | 2.00 | 1.00 | 0.80 | 0.20 | 45.5 | 3.9 | 48.8 | 93.2% | 1.96 | 119:40 | 21.00 |
| Jacob Markstrom | FLA | G | 89.1% | 2.00 | 1.20 | 1.00 | 0.20 | 59.7 | 6.4 | 65.9 | 90.7% | 3.20 | 119:54 | 23.80 |
| Mackenzie Blackwood | COL | G | 89.9% | 2.00 | 1.40 | 0.80 | 0.20 | 57.5 | 5.1 | 62.4 | 92.1% | 2.55 | 119:56 | 26.80 |
| Joey Daccord | SEA | G | 53.8% | 2.00 | 1.10 | 1.10 | 0.20 | 61.7 | 6.3 | 68.0 | 90.8% | 3.16 | 119:41 | 24.30 |
| Joseph Woll | PHI | G | 33.1% | 2.00 | 1.20 | 1.00 | 0.30 | 64.8 | 7.0 | 71.8 | 90.3% | 3.51 | 119:49 | 24.10 |
| Ilya Sorokin | NYI | G | 96.9% | 2.00 | 1.10 | 0.80 | 0.20 | 64.6 | 4.2 | 70.0 | 92.3% | 2.10 | 119:47 | 32.80 |
| Lukas Dostal | ANA | G | 80.7% | 2.00 | 1.00 | 0.90 | 0.20 | 56.3 | 5.6 | 61.7 | 91.3% | 2.80 | 119:53 | 22.20 |
| Jeremy Swayman | BOS | G | 96.9% | 2.00 | 1.20 | 1.00 | 0.20 | 63.8 | 6.5 | 70.6 | 90.3% | 3.25 | 119:55 | 25.30 |
| Dustin Wolf | CGY | G | 66.0% | 2.00 | 1.00 | 1.20 | 0.30 | 63.2 | 7.2 | 70.0 | 90.4% | 3.62 | 119:26 | 21.50 |
| Ukko-Pekka Luukkonen | BUF | G | 76.8% | 2.00 | 1.20 | 0.90 | 0.20 | 40.3 | 4.6 | 45.0 | 89.7% | 2.95 | 93:40 | 17.00 |
| Spencer Knight | CHI | G | 78.7% | 2.00 | 1.00 | 1.10 | 0.20 | 63.1 | 7.1 | 70.3 | 89.8% | 3.55 | 119:55 | 22.00 |
| Arturs Silovs | PIT | G | 45.1% | 2.00 | 1.20 | 0.90 | 0.20 | 41.9 | 5.7 | 47.8 | 87.6% | 2.85 | 119:49 | 14.40 |
| Devon Levi | EDM | G | 40.8% | 2.00 | 1.30 | 1.00 | 0.10 | 62.8 | 7.2 | 70.3 | 89.5% | 3.60 | 119:55 | 22.30 |
| Karel Vejmelka | UTA | G | 98.3% | 2.00 | 1.30 | 1.00 | 0.20 | 57.1 | 5.3 | 61.9 | 92.3% | 2.66 | 119:41 | 25.70 |
| Jet Greaves | CLB | G | 85.6% | 2.00 | 1.10 | 1.00 | 0.20 | 56.9 | 6.5 | 65.2 | 87.3% | 3.24 | 120:15 | 20.60 |
| Yaroslav Askarov | SJ | G | 77.4% | 2.00 | 1.10 | 0.90 | 0.30 | 58.6 | 6.9 | 65.8 | 89.1% | 3.47 | 119:14 | 20.00 |
| Jesper Wallstedt | MIN | G | 94.1% | 2.00 | 0.90 | 0.80 | 0.20 | 50.2 | 4.3 | 53.3 | 94.1% | 2.15 | 119:58 | 22.40 |
| Jakub Dobes | MON | G | 96.1% | 2.00 | 1.20 | 0.70 | 0.30 | 54.6 | 6.0 | 63.2 | 86.5% | 3.00 | 119:55 | 20.80 |
| Linus Ullmark | OTT | G | 81.1% | 1.00 | 0.70 | 0.30 | 0.10 | 25.9 | 2.1 | 27.6 | 94.1% | 2.11 | 59:50 | 12.80 |
| Anton Forsberg | LA | G | 25.5% | 1.00 | 0.60 | 0.50 | 0.20 | 30.2 | 3.3 | 33.5 | 90.2% | 3.28 | 60:17 | 11.40 |
| Darcy Kuemper | LA | G | 58.0% | 1.00 | 0.60 | 0.50 | 0.10 | 30.7 | 3.4 | 34.3 | 89.5% | 3.41 | 59:46 | 11.40 |
| Charlie Lindgren | WAS | G | 11.4% | 1.00 | 0.60 | 0.50 | 0.10 | 30.9 | 3.0 | 34.3 | 90.2% | 3.00 | 60:03 | 12.70 |
| Jake Allen | NJ | G | 54.0% | 1.00 | 0.60 | 0.50 | 0.10 | 31.0 | 3.3 | 34.1 | 90.8% | 3.30 | 60:03 | 12.00 |
| Jordan Binnington | STL | G | 31.2% | 1.00 | 0.50 | 0.60 | 0.10 | 30.7 | 3.7 | 34.2 | 89.8% | 3.71 | 59:54 | 10.10 |
| Philipp Grubauer | SEA | G | 13.6% | 1.00 | 0.60 | 0.50 | 0.10 | 33.4 | 3.7 | 37.4 | 89.4% | 3.69 | 60:08 | 12.10 |
| Anthony Stolarz | TOR | G | 30.0% | 1.00 | 0.70 | 0.40 | 0.10 | 31.8 | 3.0 | 34.5 | 92.2% | 3.01 | 59:45 | 13.90 |
| Tristan Jarry | EDM | G | 9.4% | 1.00 | 0.50 | 0.50 | 0.20 | 29.7 | 3.8 | 33.4 | 88.9% | 3.80 | 60:01 | 9.50 |
| Casey DeSmith | DAL | G | 17.4% | 1.00 | 0.60 | 0.50 | 0.10 | 30.7 | 2.6 | 33.6 | 91.2% | 2.60 | 60:07 | 14.00 |
| Michael Dipietro | BOS | G | 15.4% | 1.00 | 0.60 | 0.50 | 0.10 | 30.9 | 3.6 | 34.1 | 90.5% | 3.60 | 59:58 | 10.60 |
| Kevin Lankinen | VAN | G | 31.7% | 1.00 | 0.50 | 0.60 | 0.10 | 30.7 | 3.9 | 34.7 | 88.4% | 3.92 | 59:40 | 9.30 |
| Daniel Vladar | PHI | G | 76.0% | 1.00 | 0.60 | 0.50 | 0.10 | 31.1 | 3.4 | 34.6 | 90.1% | 3.41 | 59:52 | 11.60 |
| Jake Oettinger | DAL | G | 99.0% | 1.00 | 0.60 | 0.50 | 0.10 | 30.4 | 2.6 | 33.6 | 90.6% | 2.61 | 59:51 | 13.70 |
| Joel Hofer | STL | G | 79.8% | 1.00 | 0.60 | 0.50 | 0.10 | 31.0 | 3.0 | 34.4 | 90.2% | 3.00 | 60:02 | 13.40 |
| Logan Thompson | WAS | G | 99.5% | 1.00 | 0.70 | 0.40 | 0.10 | 31.6 | 2.6 | 34.7 | 91.2% | 2.60 | 59:55 | 15.10 |
| Leevi Merilainen | VAN | G | 12.8% | 1.00 | 0.50 | 0.60 | 0.10 | 23.3 | 3.7 | 27.0 | 86.3% | 3.68 | 60:15 | 5.30 |
| Nico Daws | NJ | G | 16.9% | 1.00 | 0.60 | 0.50 | 0.10 | 32.6 | 3.7 | 36.1 | 90.5% | 3.70 | 59:58 | 11.50 |
| Akira Schmid | FLA | G | 27.8% | 1.00 | 0.60 | 0.50 | 0.20 | 31.4 | 3.2 | 34.8 | 90.3% | 3.18 | 60:25 | 12.40 |
| Dylan Garand | NYR | G | 13.0% | 1.00 | 0.40 | 0.30 | 0.10 | 19.0 | 2.0 | 21.0 | 90.5% | 2.68 | 44:50 | 8.00 |
| Arvid Soderblom | CHI | G | 5.6% | 1.00 | 0.50 | 0.60 | 0.10 | 31.9 | 3.9 | 36.2 | 88.2% | 3.90 | 60:03 | 9.90 |
| Pyotr Kochetkov | CAR | G | 45.4% | 1.00 | 0.70 | 0.50 | 0.10 | 30.2 | 3.2 | 33.7 | 89.7% | 3.20 | 59:58 | 12.30 |
| Sebastian Cossa | UTA | G | 32.2% | 1.00 | 0.70 | 0.40 | 0.10 | 32.7 | 3.8 | 36.9 | 88.5% | 3.80 | 59:58 | 12.00 |
| Brandon Bussi | CAR | G | 96.0% | 1.00 | 0.70 | 0.40 | 0.10 | 30.0 | 2.9 | 33.3 | 90.1% | 2.90 | 60:03 | 13.00 |
| Devin Cooley | CGY | G | 13.7% | 1.00 | 0.50 | 0.60 | 0.10 | 30.7 | 3.3 | 34.3 | 89.7% | 3.29 | 60:15 | 11.10 |
† 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
Starts become wins
Goalies with the most projected starts on strong teams lead the win projections.
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