NHL Projected Saves Leaders Next Week
More shots against means more save opportunities. Our saves projections identify which goalies are expected to be the busiest next week. Goalies on underdog teams facing high-powered offenses often rack up saves even in losing efforts—valuable for fantasy saves categories (Oct 19-25 (Week 4)). (Oct 19-25 (Week 4))
Sorted by Projected Goaltending Saves(Oct 19-25 (Week 4))
56 playersGoalies56 of 56
| Player | Team | Pos | Rost% | SV ↓ | GS | W | L | OTL | GA | SA | SV% | GAA† | MIN† | FPTS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Connor Hellebuyck | WPG | G | 91.3% | 75.1 | 3.00 | 1.60 | 1.10 | 0.30 | 7.1 | 81.3 | 91.4% | 2.37 | 179:49 | 32.30 |
| Sergei Bobrovsky | TOR | G | 84.8% | 74.5 | 3.00 | 1.22 | 1.41 | 0.36 | 8.7 | 83.3 | 89.5% | 2.92 | 179:42 | 25.17 |
| Anthony Stolarz | TOR | G | 36.4% | 74.3 | 3.00 | 1.44 | 1.29 | 0.27 | 8.2 | 82.6 | 90.0% | 2.75 | 179:21 | 27.66 |
| Jesper Wallstedt | MIN | G | 96.4% | 72.6 | 3.00 | 1.57 | 0.93 | 0.30 | 7.9 | 80.5 | 90.1% | 2.65 | 180:04 | 28.24 |
| Yaroslav Askarov | SJS | G | 74.8% | 70.5 | 3.00 | 1.08 | 1.40 | 0.32 | 9.8 | 80.3 | 87.8% | 3.29 | 178:49 | 18.65 |
| Lukas Dostal | ANA | G | 83.2% | 70.5 | 3.00 | 1.37 | 1.17 | 0.26 | 8.2 | 78.7 | 89.6% | 2.74 | 179:15 | 24.90 |
| Mackenzie Blackwood | COL | G | 91.0% | 69.8 | 3.00 | 1.84 | 0.94 | 0.22 | 7.4 | 77.2 | 90.5% | 2.46 | 179:47 | 29.23 |
| Calvin Pickard | MIN | G | 4.1% | 68.9 | 3.00 | 1.37 | 1.38 | 0.15 | 8.6 | 77.5 | 88.9% | 2.86 | 180:21 | 22.41 |
| Philipp Grubauer | SEA | G | 15.2% | 55.1 | 2.00 | 0.94 | 0.86 | 0.20 | 5.9 | 61.0 | 90.3% | 2.95 | 120:48 | 20.42 |
| Joey Daccord | SEA | G | 67.3% | 54.3 | 2.00 | 0.96 | 0.88 | 0.15 | 5.6 | 60.0 | 90.6% | 2.83 | 119:16 | 21.02 |
| Dustin Wolf | CGY | G | 54.5% | 53.5 | 2.00 | 0.85 | 1.15 | 0.20 | 6.0 | 59.6 | 89.9% | 3.04 | 119:23 | 18.34 |
| Logan Thompson | WSH | G | 99.8% | 52.6 | 2.00 | 1.26 | 0.80 | 0.14 | 5.2 | 57.8 | 91.0% | 2.62 | 119:45 | 22.54 |
| Juuse Saros | NSH | G | 85.3% | 52.4 | 2.00 | 0.72 | 0.96 | 0.22 | 6.6 | 59.0 | 88.9% | 3.29 | 119:36 | 15.75 |
| Spencer Knight | CHI | G | 73.3% | 52.4 | 2.00 | 0.92 | 0.97 | 0.21 | 6.0 | 58.4 | 89.8% | 2.99 | 119:52 | 18.27 |
| Devon Levi | EDM | G | 54.0% | 51.6 | 2.00 | 1.22 | 0.74 | 0.14 | 6.0 | 57.6 | 89.5% | 3.03 | 119:54 | 18.95 |
| Daniel Vladar | PHI | G | 61.4% | 51.2 | 2.00 | 0.71 | 1.02 | 0.26 | 6.3 | 57.6 | 89.0% | 3.17 | 119:47 | 15.87 |
| Jet Greaves | CBJ | G | 79.8% | 51.0 | 2.00 | 1.11 | 0.81 | 0.18 | 5.8 | 56.7 | 89.8% | 2.87 | 120:32 | 19.36 |
| Jake Allen | NJD | G | 53.8% | 50.9 | 2.00 | 1.13 | 0.78 | 0.19 | 5.8 | 56.8 | 89.7% | 2.92 | 120:04 | 19.07 |
| Andrei Vasilevskiy | TBL | G | 99.2% | 50.8 | 2.00 | 0.84 | 0.80 | 0.17 | 5.5 | 56.3 | 90.2% | 2.78 | 119:37 | 18.95 |
| Joel Hofer | STL | G | 83.0% | 50.6 | 2.00 | 0.97 | 0.88 | 0.25 | 5.4 | 56.0 | 90.4% | 2.69 | 120:02 | 20.27 |
| Cam Talbot | CBJ | G | 6.6% | 50.5 | 2.00 | 1.07 | 0.99 | 0.14 | 6.3 | 56.8 | 88.9% | 3.14 | 120:33 | 16.49 |
| Ilya Sorokin | NYI | G | 97.3% | 49.2 | 2.00 | 1.09 | 0.82 | 0.19 | 5.1 | 54.3 | 90.6% | 2.55 | 119:48 | 20.60 |
| Darcy Kuemper | LAK | G | 51.2% | 49.0 | 2.00 | 0.80 | 0.88 | 0.21 | 5.4 | 54.4 | 90.0% | 2.75 | 118:40 | 17.73 |
| Anton Forsberg | LAK | G | 20.9% | 48.7 | 2.00 | 0.85 | 0.84 | 0.21 | 5.4 | 54.1 | 90.1% | 2.65 | 121:32 | 17.77 |
| Leevi Merilainen | VAN | G | 20.4% | 48.7 | 2.00 | 0.72 | 0.83 | 0.16 | 6.1 | 54.8 | 88.9% | 3.03 | 120:48 | 14.53 |
| Scott Wedgewood | COL | G | 88.9% | 48.3 | 2.00 | 1.18 | 0.58 | 0.14 | 4.7 | 53.0 | 91.2% | 2.34 | 119:51 | 21.73 |
| Jeremy Swayman | BOS | G | 96.6% | 48.1 | 2.00 | 1.21 | 0.75 | 0.14 | 5.0 | 53.1 | 90.6% | 2.50 | 119:55 | 20.38 |
| Karel Vejmelka | UTA | G | 97.9% | 48.1 | 2.00 | 1.17 | 0.60 | 0.13 | 5.5 | 53.6 | 89.8% | 2.73 | 120:34 | 18.97 |
| Stuart Skinner | WPG | G | 62.1% | 47.7 | 2.00 | 0.96 | 0.72 | 0.21 | 5.4 | 53.1 | 89.8% | 2.72 | 119:43 | 17.37 |
| Carter Hart | VGK | G | 89.0% | 47.0 | 2.00 | 1.03 | 0.72 | 0.15 | 5.2 | 52.2 | 90.1% | 2.60 | 119:41 | 18.11 |
| Adin Hill | VGK | G | 27.3% | 47.0 | 2.00 | 1.12 | 0.68 | 0.20 | 5.2 | 52.2 | 90.0% | 2.61 | 119:35 | 18.29 |
| John Gibson | DET | G | 63.9% | 46.5 | 2.00 | 0.92 | 0.83 | 0.25 | 5.7 | 52.2 | 89.2% | 2.86 | 118:30 | 15.69 |
| Akira Schmid | FLA | G | 24.4% | 45.5 | 2.00 | 0.86 | 0.78 | 0.26 | 5.4 | 50.9 | 89.4% | 2.66 | 121:42 | 15.84 |
| Jacob Fowler | MTL | G | 52.3% | 45.5 | 2.00 | 1.14 | 0.72 | 0.14 | 4.9 | 50.4 | 90.2% | 2.47 | 120:06 | 18.53 |
| Linus Ullmark | OTT | G | 88.9% | 45.3 | 2.00 | 1.30 | 0.66 | 0.14 | 4.7 | 50.0 | 90.6% | 2.37 | 119:21 | 19.80 |
| Jake Oettinger | DAL | G | 99.1% | 45.1 | 2.00 | 1.10 | 0.86 | 0.24 | 4.9 | 50.0 | 90.1% | 2.48 | 119:46 | 19.08 |
| Samuel Ersson | OTT | G | 10.6% | 45.0 | 2.00 | 0.99 | 0.81 | 0.20 | 5.7 | 50.7 | 88.7% | 2.85 | 120:42 | 15.07 |
| Kevin Lankinen | VAN | G | 22.4% | 44.5 | 2.00 | 0.61 | 0.84 | 0.16 | 6.2 | 50.6 | 87.8% | 4.23 | 87:18 | 11.28 |
| Colten Ellis | BUF | G | 16.3% | 44.0 | 2.00 | 0.93 | 0.87 | 0.20 | 5.4 | 49.5 | 89.0% | 2.73 | 119:29 | 15.97 |
| Ukko-Pekka Luukkonen | BUF | G | 66.1% | 43.7 | 2.00 | 1.04 | 0.77 | 0.20 | 5.5 | 49.1 | 88.9% | 2.72 | 120:39 | 15.44 |
| Jacob Markstrom | FLA | G | 91.8% | 42.6 | 2.00 | 0.92 | 0.68 | 0.21 | 5.1 | 47.7 | 89.2% | 2.59 | 119:04 | 15.72 |
| Matt Murray | NSH | G | 0.1% | 41.4 | 2.00 | 0.63 | 0.40 | 0.27 | 5.0 | 46.4 | 89.1% | 4.15 | 72:48 | 12.90 |
| Pyotr Kochetkov | CAR | G | 53.7% | 41.1 | 2.00 | 1.26 | 0.60 | 0.13 | 5.0 | 46.1 | 89.1% | 2.52 | 120:01 | 15.92 |
| Sergei Murashov | PIT | G | 61.8% | 40.5 | 2.00 | 0.86 | 0.25 | 0.19 | 4.6 | 45.1 | 89.7% | 3.27 | 84:50 | 14.84 |
| Clay Stevenson | WPG | G | 11.4% | 38.1 | 2.00 | 0.72 | 0.31 | 0.17 | 4.5 | 42.6 | 89.5% | 3.68 | 73:20 | 13.13 |
| Dylan Garand | NYR | G | 53.2% | 38.0 | 2.00 | 0.89 | 0.36 | 0.15 | 4.3 | 42.3 | 89.8% | 3.58 | 72:01 | 15.48 |
| Joseph Woll | PHI | G | 39.4% | 26.3 | 1.00 | 0.39 | 0.55 | 0.16 | 3.0 | 29.3 | 89.7% | 3.02 | 59:55 | 8.50 |
| Jordan Binnington | STL | G | 26.8% | 25.6 | 1.00 | 0.43 | 0.47 | 0.10 | 3.1 | 28.7 | 89.1% | 3.14 | 59:55 | 8.28 |
| Tristan Jarry | EDM | G | 26.1% | 25.0 | 1.00 | 0.53 | 0.38 | 0.09 | 3.1 | 28.1 | 89.1% | 3.07 | 60:01 | 8.54 |
| Alex Nedeljkovic | SJS | G | 16.7% | 24.0 | 1.00 | 0.37 | 0.42 | 0.11 | 3.0 | 27.1 | 88.8% | 3.00 | 60:24 | 7.42 |
| Arturs Silovs | PIT | G | 57.0% | 23.9 | 1.00 | 0.56 | 0.44 | 0.09 | 3.0 | 26.8 | 89.0% | 2.95 | 59:56 | 8.51 |
| Ville Husso | ANA | G | 7.3% | 23.7 | 1.00 | 0.39 | 0.41 | 0.11 | 2.8 | 26.5 | 89.3% | 2.82 | 60:09 | 7.81 |
| Daniil Tarasov | DET | G | 11.5% | 23.6 | 1.00 | 0.46 | 0.34 | 0.10 | 2.9 | 26.5 | 89.1% | 2.88 | 60:23 | 7.94 |
| Sam Montembeault | MTL | G | 13.8% | 23.3 | 1.00 | 0.54 | 0.36 | 0.09 | 2.7 | 26.0 | 89.8% | 2.66 | 60:01 | 8.55 |
| Jakub Dobes | MTL | G | 93.0% | 23.1 | 1.00 | 0.55 | 0.36 | 0.09 | 2.7 | 25.8 | 89.5% | 2.72 | 59:55 | 8.44 |
| Brandon Bussi | CAR | G | 93.8% | 20.5 | 1.00 | 0.55 | 0.25 | 0.09 | 2.7 | 23.3 | 88.3% | 2.72 | 60:03 | 7.40 |
† 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
Goalie shots against, saves, goals against, SV%, GAA, wins and OTL are an Edgehalla blend: LineupExperts' goalie line averaged 50/50 with Edgehalla's own goalie model.
Why saves matter
In category leagues, saves are a volume stat that can swing matchups. Goalies facing 35+ shots can rack up 30+ saves regardless of game outcome.
Saves volume factors
- Opponent offense: Facing elite offenses = more shots faced - Team defense: Weaker teams allow more shots against - Game script: Underdogs protecting leads face shot barrages - Special teams: PK-heavy games increase shot volume
Saves strategy
Sometimes a losing goalie on a bad team provides more fantasy value (via saves) than a winning goalie on an elite team who faces 20 shots.
High-Volume Matchups Next Week
Identify goalies facing offensive powerhouses. These matchups produce the most save opportunities.
Games Next WeekSaves vs. Wins Balance
Goalies on favorites face fewer shots but win more. Underdogs face more shots but lose more. Balance based on your category needs.
Wins ProjectionsStreaming for Saves
Need saves? Stream goalies on bad teams facing good offenses. They're often available and will face 30+ shots.
Starting GoaliesRelated Projections
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