NHL Projected Shots Against This Week
Shots against indicate goalie workload and save opportunity volume. Our projections show which goalies are expected to face heavy rubber this week. High shot volume can be good (more saves) or bad (more goals against risk) depending on your fantasy format (Oct 12-18 (Week 3)). (Oct 12-18 (Week 3))
Sorted by Projected Goaltending Shots Against(Oct 12-18 (Week 3))
55 playersGoalies55 of 55
| Player | Team | Pos | Rost% | SA ↓ | GS | W | L | OTL | SV | GA | SV% | GAA† | MIN† | FPTS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jesper Wallstedt | MIN | G | 96.4% | 83.3 | 3.00 | 1.78 | 1.10 | 0.32 | 75.3 | 8.0 | 90.4% | 2.66 | 180:04 | 30.33 |
| Calvin Pickard | MIN | G | 4.1% | 81.1 | 3.00 | 1.43 | 1.53 | 0.14 | 72.3 | 8.8 | 89.2% | 2.93 | 180:21 | 24.29 |
| Colten Ellis | BUF | G | 16.3% | 79.3 | 3.00 | 1.34 | 1.06 | 0.30 | 70.9 | 8.4 | 89.4% | 2.81 | 179:13 | 25.50 |
| Ukko-Pekka Luukkonen | BUF | G | 66.1% | 78.8 | 3.00 | 1.49 | 1.06 | 0.35 | 70.3 | 8.5 | 89.3% | 2.81 | 180:59 | 24.73 |
| Carter Hart | VGK | G | 89.0% | 77.6 | 3.00 | 1.92 | 0.88 | 0.20 | 69.9 | 7.6 | 90.2% | 2.55 | 179:32 | 28.76 |
| Adin Hill | VGK | G | 27.3% | 77.5 | 3.00 | 2.02 | 0.84 | 0.25 | 69.8 | 7.7 | 90.1% | 2.57 | 179:23 | 29.30 |
| Jake Allen | NJD | G | 53.8% | 77.2 | 3.00 | 1.61 | 1.04 | 0.24 | 69.2 | 8.0 | 89.7% | 2.66 | 180:05 | 26.07 |
| Akira Schmid | FLA | G | 24.4% | 76.7 | 3.00 | 1.71 | 0.97 | 0.32 | 68.6 | 8.1 | 89.4% | 2.66 | 182:33 | 26.02 |
| Samuel Ersson | OTT | G | 10.6% | 76.5 | 3.00 | 1.39 | 1.21 | 0.30 | 67.7 | 8.8 | 88.5% | 2.91 | 181:03 | 21.87 |
| Linus Ullmark | OTT | G | 88.9% | 75.9 | 3.00 | 1.87 | 0.89 | 0.24 | 68.8 | 7.2 | 90.6% | 2.40 | 179:01 | 29.92 |
| Jacob Markstrom | FLA | G | 91.8% | 72.2 | 3.00 | 1.75 | 0.84 | 0.31 | 64.4 | 7.8 | 89.2% | 2.61 | 178:36 | 25.46 |
| Logan Thompson | WSH | G | 99.8% | 60.1 | 2.00 | 1.06 | 0.69 | 0.15 | 54.5 | 5.6 | 90.7% | 2.81 | 119:45 | 21.84 |
| Devon Levi | EDM | G | 54.0% | 59.1 | 2.00 | 1.03 | 0.81 | 0.16 | 53.1 | 6.0 | 89.8% | 3.02 | 119:54 | 18.99 |
| Dustin Wolf | CGY | G | 54.5% | 58.7 | 2.00 | 0.63 | 1.16 | 0.21 | 51.8 | 6.9 | 88.3% | 3.46 | 119:23 | 14.22 |
| Sergei Bobrovsky | TOR | G | 84.8% | 58.5 | 2.00 | 0.86 | 0.99 | 0.26 | 52.5 | 6.0 | 89.7% | 3.02 | 119:48 | 18.00 |
| Juuse Saros | NSH | G | 85.3% | 57.7 | 2.00 | 0.95 | 1.00 | 0.25 | 51.5 | 6.2 | 89.3% | 3.09 | 119:36 | 17.44 |
| Daniel Vladar | PHI | G | 61.4% | 57.4 | 2.00 | 0.75 | 0.99 | 0.26 | 51.4 | 6.0 | 89.5% | 3.02 | 119:47 | 16.86 |
| Anthony Stolarz | TOR | G | 36.4% | 57.3 | 2.00 | 1.07 | 0.87 | 0.15 | 51.7 | 5.6 | 90.2% | 2.83 | 119:34 | 19.86 |
| Spencer Knight | CHI | G | 73.3% | 56.4 | 2.00 | 0.92 | 1.06 | 0.21 | 50.4 | 6.1 | 89.3% | 3.03 | 119:52 | 16.70 |
| Jeremy Swayman | BOS | G | 96.6% | 56.0 | 2.00 | 0.96 | 0.78 | 0.16 | 50.7 | 5.3 | 90.5% | 2.66 | 119:55 | 20.10 |
| Stuart Skinner | WPG | G | 62.1% | 55.6 | 2.00 | 0.99 | 0.80 | 0.21 | 50.1 | 5.6 | 90.0% | 2.79 | 119:43 | 18.16 |
| Philipp Grubauer | SEA | G | 15.2% | 55.5 | 2.00 | 0.84 | 0.85 | 0.21 | 50.1 | 5.4 | 90.2% | 2.70 | 120:48 | 18.14 |
| Yaroslav Askarov | SJS | G | 74.8% | 55.3 | 2.00 | 0.81 | 0.97 | 0.21 | 48.9 | 6.4 | 88.5% | 3.20 | 119:13 | 14.17 |
| Lukas Dostal | ANA | G | 83.2% | 55.2 | 2.00 | 1.12 | 0.89 | 0.19 | 49.4 | 5.8 | 89.5% | 2.91 | 119:30 | 17.69 |
| Joey Daccord | SEA | G | 67.3% | 54.9 | 2.00 | 0.84 | 0.89 | 0.17 | 49.7 | 5.2 | 90.4% | 2.64 | 119:16 | 18.92 |
| Cam Talbot | CBJ | G | 6.6% | 54.2 | 2.00 | 0.79 | 1.14 | 0.17 | 48.5 | 5.6 | 89.6% | 2.80 | 120:33 | 15.93 |
| John Gibson | DET | G | 63.9% | 52.8 | 2.00 | 1.08 | 0.89 | 0.23 | 47.4 | 5.4 | 89.7% | 2.74 | 118:30 | 17.74 |
| Jacob Fowler | MTL | G | 52.3% | 52.6 | 2.00 | 1.15 | 0.80 | 0.14 | 47.5 | 5.2 | 90.2% | 2.58 | 120:06 | 19.22 |
| Ilya Sorokin | NYI | G | 97.3% | 52.1 | 2.00 | 1.03 | 0.86 | 0.20 | 46.8 | 5.3 | 89.8% | 2.66 | 119:48 | 18.17 |
| Darcy Kuemper | LAK | G | 51.2% | 51.6 | 2.00 | 1.04 | 0.88 | 0.18 | 45.8 | 5.8 | 88.8% | 2.93 | 118:40 | 15.78 |
| Karel Vejmelka | UTA | G | 97.9% | 51.5 | 2.00 | 1.09 | 0.67 | 0.15 | 45.7 | 5.8 | 88.8% | 2.87 | 120:34 | 16.13 |
| Mackenzie Blackwood | COL | G | 91.0% | 51.5 | 2.00 | 1.34 | 0.54 | 0.12 | 46.2 | 5.2 | 89.8% | 2.62 | 119:51 | 19.25 |
| Leevi Merilainen | VAN | G | 20.4% | 51.3 | 2.00 | 0.58 | 0.85 | 0.17 | 45.5 | 5.8 | 88.7% | 3.88 | 89:50 | 12.37 |
| Jet Greaves | CBJ | G | 79.8% | 51.3 | 2.00 | 0.99 | 0.81 | 0.20 | 46.4 | 4.9 | 90.4% | 2.46 | 120:32 | 18.41 |
| Anton Forsberg | LAK | G | 20.9% | 51.1 | 2.00 | 1.08 | 0.74 | 0.18 | 45.3 | 5.7 | 88.8% | 2.83 | 121:32 | 15.96 |
| Pyotr Kochetkov | CAR | G | 53.7% | 50.3 | 2.00 | 1.25 | 0.61 | 0.14 | 45.4 | 4.9 | 90.3% | 2.43 | 120:01 | 19.33 |
| Jake Oettinger | DAL | G | 99.1% | 50.2 | 2.00 | 1.10 | 0.71 | 0.19 | 45.5 | 4.7 | 90.6% | 2.37 | 119:46 | 19.73 |
| Joel Hofer | STL | G | 83.0% | 49.7 | 2.00 | 0.95 | 0.80 | 0.25 | 45.0 | 4.6 | 90.6% | 2.32 | 120:02 | 19.02 |
| Andrei Vasilevskiy | TBL | G | 99.2% | 48.1 | 2.00 | 1.27 | 0.62 | 0.12 | 43.1 | 5.0 | 89.7% | 2.49 | 119:37 | 17.97 |
| Kevin Lankinen | VAN | G | 22.4% | 47.5 | 2.00 | 0.49 | 0.84 | 0.17 | 41.5 | 5.9 | 87.5% | 4.83 | 73:46 | 9.60 |
| Sergei Murashov | PIT | G | 61.8% | 47.5 | 2.00 | 0.54 | 0.54 | 0.22 | 42.5 | 5.0 | 89.5% | 3.59 | 83:19 | 13.52 |
| Dylan Garand | NYR | G | 53.2% | 47.1 | 2.00 | 0.84 | 0.40 | 0.16 | 42.9 | 4.2 | 91.1% | 2.98 | 84:06 | 18.21 |
| Matt Murray | NSH | G | 0.1% | 44.1 | 2.00 | 0.85 | 0.31 | 0.24 | 39.5 | 4.6 | 89.6% | 3.65 | 75:38 | 14.53 |
| Clay Stevenson | WPG | G | 11.4% | 43.2 | 2.00 | 0.85 | 0.35 | 0.20 | 38.7 | 4.4 | 89.7% | 3.45 | 77:25 | 14.03 |
| Connor Hellebuyck | WPG | G | 91.3% | 33.7 | 1.00 | 0.60 | 0.50 | 0.10 | 30.8 | 3.0 | 91.1% | 3.00 | 59:56 | 12.80 |
| Joseph Woll | PHI | G | 39.4% | 29.2 | 1.00 | 0.41 | 0.53 | 0.16 | 26.3 | 2.9 | 90.1% | 2.89 | 59:55 | 9.08 |
| Tristan Jarry | EDM | G | 26.1% | 28.6 | 1.00 | 0.48 | 0.42 | 0.10 | 25.5 | 3.0 | 89.4% | 3.03 | 60:01 | 8.66 |
| Arturs Silovs | PIT | G | 57.0% | 28.3 | 1.00 | 0.39 | 0.50 | 0.11 | 25.1 | 3.2 | 88.8% | 3.18 | 59:56 | 7.88 |
| Casey DeSmith | DAL | G | 15.6% | 28.0 | 1.00 | 0.43 | 0.46 | 0.11 | 25.2 | 2.7 | 90.2% | 2.74 | 60:06 | 9.17 |
| Alex Nedeljkovic | SJS | G | 16.7% | 27.9 | 1.00 | 0.44 | 0.45 | 0.11 | 25.0 | 2.9 | 89.5% | 2.90 | 60:24 | 8.37 |
| Jakub Dobes | MTL | G | 93.0% | 27.4 | 1.00 | 0.50 | 0.40 | 0.10 | 24.5 | 2.9 | 89.4% | 2.91 | 59:55 | 8.85 |
| Daniil Tarasov | DET | G | 11.5% | 26.8 | 1.00 | 0.55 | 0.36 | 0.09 | 24.0 | 2.8 | 89.5% | 2.80 | 60:23 | 8.86 |
| Scott Wedgewood | COL | G | 88.9% | 25.7 | 1.00 | 0.68 | 0.33 | 0.09 | 23.3 | 2.4 | 90.6% | 2.43 | 59:55 | 10.65 |
| Jordan Binnington | STL | G | 26.8% | 25.4 | 1.00 | 0.42 | 0.37 | 0.10 | 22.7 | 2.7 | 89.4% | 2.69 | 59:55 | 7.76 |
| Brandon Bussi | CAR | G | 93.8% | 25.1 | 1.00 | 0.60 | 0.31 | 0.09 | 22.5 | 2.6 | 89.6% | 2.61 | 60:03 | 8.72 |
† 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 shots against matter
SA determines both save opportunities and goals-against risk. Understanding expected workload helps you choose the right goalies.
SA factors
- Opponent shot volume: Some teams shoot 35+ times per game - Team defense: Bad teams allow more shots - Game script: Underdogs face barrages while protecting leads - Pace: High-scoring games produce more shots both ways
SA benchmarks
- Light workload: 22-26 shots - Average workload: 27-31 shots - Heavy workload: 32+ shots
High-Volume Games This Week
Identify which goalies will be busy. High shot volume creates save opportunities for those chasing saves.
Saves ProjectionsLow-Volume Safe Starts
Goalies facing low shot volume have better SV% and lower GA risk. Target these for efficiency.
Save PercentageWorkload Analysis
Cross-reference shots against with wins and saves to find the best overall goalie values.
All GoaliesRelated Projections
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