NHL Projected Shots Against - Rest of Season
Shots against indicate goalie workload and save opportunity volume. Our projections show which goalies are expected to face heavy rubber this season. High shot volume can be good (more saves) or bad (more goals against risk) depending on your fantasy format.
Forward-looking projections only
ROS stats represent expected future production—they don't include any stats already accumulated this season.
Sorted by Projected Goaltending Shots Against
72 playersGoalies72 of 72
| Player | Team | Pos | Rost% | SA ↓ | GS | W | L | OTL | SV | GA | SV% | GAA† | MIN† | FPTS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Connor Hellebuyck | WPG | G | 91.3% | 1543.0 | 55.00 | 29.00 | 21.00 | 6.00 | 1412.0 | 139.0 | 91.0% | 2.53 | 3296:38 | 587.00 |
| Juuse Saros | NSH | G | 85.3% | 1534.0 | 51.00 | 22.00 | 23.00 | 6.00 | 1373.0 | 155.0 | 89.9% | 3.05 | 3049:42 | 475.00 |
| Spencer Knight | CHI | G | 73.3% | 1522.0 | 51.00 | 22.00 | 25.00 | 4.00 | 1363.0 | 158.0 | 89.6% | 3.10 | 3056:24 | 460.00 |
| Sergei Bobrovsky | TOR | G | 84.8% | 1518.0 | 51.00 | 23.00 | 21.00 | 7.00 | 1385.0 | 142.0 | 90.7% | 2.79 | 3054:58 | 526.00 |
| Daniel Vladar | PHI | G | 61.4% | 1495.0 | 50.00 | 19.00 | 25.00 | 6.00 | 1341.0 | 154.0 | 89.7% | 3.09 | 2994:38 | 444.00 |
| Jeremy Swayman | BOS | G | 96.6% | 1490.0 | 51.00 | 29.00 | 19.00 | 3.00 | 1354.0 | 131.0 | 91.2% | 2.57 | 3057:52 | 584.00 |
| Yaroslav Askarov | SJS | G | 74.8% | 1490.0 | 51.00 | 21.00 | 25.00 | 4.00 | 1309.0 | 176.0 | 88.1% | 3.47 | 3039:57 | 366.00 |
| Jesper Wallstedt | MIN | G | 96.4% | 1474.0 | 51.00 | 29.00 | 17.00 | 6.00 | 1346.0 | 127.0 | 91.4% | 2.49 | 3061:02 | 578.00 |
| Logan Thompson | WSH | G | 99.8% | 1471.0 | 51.00 | 30.00 | 17.00 | 3.00 | 1336.0 | 134.0 | 90.9% | 2.63 | 3053:38 | 560.00 |
| Dustin Wolf | CGY | G | 54.5% | 1465.0 | 51.00 | 19.00 | 28.00 | 4.00 | 1304.0 | 169.0 | 88.5% | 3.33 | 3044:07 | 379.00 |
| Lukas Dostal | ANA | G | 83.2% | 1463.0 | 51.00 | 26.00 | 22.00 | 4.00 | 1315.0 | 151.0 | 89.7% | 2.97 | 3047:10 | 469.00 |
| Ilya Sorokin | NYI | G | 97.3% | 1458.0 | 51.00 | 26.00 | 21.00 | 4.00 | 1347.0 | 126.0 | 91.5% | 2.47 | 3054:42 | 590.00 |
| Joey Daccord | SEA | G | 67.3% | 1457.0 | 51.00 | 26.00 | 21.00 | 3.00 | 1322.0 | 135.0 | 90.7% | 2.66 | 3041:13 | 532.00 |
| Stuart Skinner | WPG | G | 62.1% | 1457.0 | 51.00 | 28.00 | 18.00 | 5.00 | 1307.0 | 141.0 | 90.3% | 2.77 | 3052:49 | 504.00 |
| Darcy Kuemper | LAK | G | 51.2% | 1456.0 | 52.00 | 24.00 | 23.00 | 5.00 | 1306.0 | 142.0 | 90.2% | 2.76 | 3085:14 | 489.00 |
| Jet Greaves | CBJ | G | 79.8% | 1452.0 | 52.00 | 25.00 | 21.00 | 4.00 | 1315.0 | 138.0 | 90.5% | 2.64 | 3133:43 | 509.00 |
| Jake Allen | NJD | G | 53.8% | 1422.0 | 51.00 | 29.00 | 18.00 | 4.00 | 1282.0 | 145.0 | 89.8% | 2.84 | 3061:32 | 486.00 |
| John Gibson | DET | G | 63.9% | 1412.0 | 51.00 | 20.00 | 24.00 | 7.00 | 1264.0 | 148.0 | 89.5% | 2.94 | 3021:53 | 419.00 |
| Mackenzie Blackwood | COL | G | 91.0% | 1392.0 | 51.00 | 30.00 | 18.00 | 3.00 | 1254.0 | 139.0 | 90.0% | 2.73 | 3056:16 | 492.00 |
| Carter Hart | VGK | G | 89.0% | 1375.0 | 50.00 | 26.00 | 20.00 | 3.00 | 1238.0 | 133.0 | 90.3% | 2.67 | 2992:12 | 478.00 |
| Joel Hofer | STL | G | 83.0% | 1374.0 | 51.00 | 25.00 | 19.00 | 7.00 | 1240.0 | 120.0 | 91.2% | 2.35 | 3061:00 | 538.00 |
| Linus Ullmark | OTT | G | 88.9% | 1371.0 | 51.00 | 34.00 | 14.00 | 3.00 | 1250.0 | 116.0 | 91.5% | 2.29 | 3043:20 | 581.00 |
| Karel Vejmelka | UTA | G | 97.9% | 1361.0 | 51.00 | 28.00 | 18.00 | 3.00 | 1237.0 | 131.0 | 90.4% | 2.56 | 3074:35 | 510.00 |
| Ukko-Pekka Luukkonen | BUF | G | 66.1% | 1356.0 | 51.00 | 25.00 | 20.00 | 6.00 | 1206.0 | 150.0 | 88.9% | 2.93 | 3076:46 | 407.00 |
| Andrei Vasilevskiy | TBL | G | 99.2% | 1348.0 | 51.00 | 29.00 | 18.00 | 3.00 | 1233.0 | 124.0 | 90.9% | 2.44 | 3050:17 | 528.00 |
| Jake Oettinger | DAL | G | 99.1% | 1343.0 | 51.00 | 26.00 | 19.00 | 6.00 | 1228.0 | 114.0 | 91.5% | 2.24 | 3053:52 | 560.00 |
| Jakub Dobes | MTL | G | 93.0% | 1312.0 | 45.00 | 22.00 | 17.00 | 6.00 | 1169.0 | 136.0 | 89.6% | 3.03 | 2696:28 | 408.00 |
| Jacob Markstrom | FLA | G | 91.8% | 1303.0 | 51.00 | 24.00 | 19.00 | 6.00 | 1179.0 | 129.0 | 90.1% | 2.55 | 3036:17 | 462.00 |
| Arturs Silovs | PIT | G | 57.0% | 1131.0 | 41.00 | 22.00 | 15.00 | 3.00 | 1001.0 | 123.0 | 89.1% | 3.00 | 2457:25 | 360.00 |
| Tristan Jarry | EDM | G | 26.1% | 1110.0 | 40.00 | 19.00 | 16.00 | 4.00 | 992.0 | 120.0 | 89.2% | 3.00 | 2400:44 | 340.00 |
| Brandon Bussi | CAR | G | 93.8% | 1040.0 | 39.00 | 22.00 | 12.00 | 5.00 | 931.0 | 105.0 | 89.9% | 2.69 | 2341:47 | 361.00 |
| Kevin Lankinen | VAN | G | 22.4% | 990.0 | 50.00 | 13.00 | 23.00 | 3.00 | 847.0 | 141.0 | 85.7% | 4.36 | 1942:17 | 149.00 |
| Philipp Grubauer | SEA | G | 15.2% | 915.0 | 31.00 | 16.00 | 11.00 | 2.00 | 822.0 | 87.0 | 90.4% | 2.79 | 1872:27 | 315.00 |
| Devon Levi | EDM | G | 54.0% | 908.0 | 31.00 | 20.00 | 10.00 | 1.00 | 817.0 | 90.0 | 90.1% | 2.91 | 1858:26 | 319.00 |
| Dylan Garand | NYR | G | 53.2% | 906.0 | 50.00 | 22.00 | 12.00 | 3.00 | 829.0 | 77.0 | 91.5% | 2.32 | 1989:19 | 400.00 |
| Joseph Woll | PHI | G | 39.4% | 895.0 | 29.00 | 11.00 | 13.00 | 5.00 | 810.0 | 85.0 | 90.5% | 2.94 | 1737:38 | 288.00 |
| Anthony Stolarz | TOR | G | 36.4% | 885.0 | 31.00 | 18.00 | 11.00 | 2.00 | 810.0 | 83.0 | 90.7% | 2.69 | 1853:14 | 334.00 |
| Akira Schmid | FLA | G | 24.4% | 884.0 | 31.00 | 15.00 | 12.00 | 4.00 | 797.0 | 82.0 | 90.7% | 2.61 | 1886:19 | 309.00 |
| Jordan Binnington | STL | G | 26.8% | 874.0 | 31.00 | 14.00 | 13.00 | 3.00 | 786.0 | 93.0 | 89.4% | 3.00 | 1857:10 | 269.00 |
| Scott Wedgewood | COL | G | 88.9% | 870.0 | 31.00 | 19.00 | 10.00 | 2.00 | 794.0 | 72.0 | 91.7% | 2.33 | 1857:39 | 366.00 |
| Calvin Pickard | MIN | G | 4.1% | 867.0 | 31.00 | 13.00 | 18.00 | 0.00 | 770.0 | 90.0 | 89.5% | 2.90 | 1863:40 | 258.00 |
| Cam Talbot | CBJ | G | 6.6% | 867.0 | 31.00 | 14.00 | 16.00 | 1.00 | 775.0 | 93.0 | 89.3% | 2.99 | 1868:37 | 256.00 |
| Jacob Fowler | MTL | G | 52.3% | 861.0 | 31.00 | 17.00 | 12.00 | 2.00 | 787.0 | 78.0 | 91.0% | 2.51 | 1861:28 | 333.00 |
| Samuel Ersson | OTT | G | 10.6% | 857.0 | 31.00 | 13.00 | 13.00 | 3.00 | 757.0 | 96.0 | 88.8% | 3.08 | 1870:47 | 237.00 |
| Filip Gustavsson | MIN | G | 61.2% | 855.0 | 30.00 | 15.00 | 12.00 | 2.00 | 790.0 | 83.0 | 90.5% | 2.77 | 1799:54 | 309.00 |
| Adin Hill | VGK | G | 27.3% | 854.0 | 31.00 | 19.00 | 9.00 | 3.00 | 765.0 | 83.0 | 90.2% | 2.69 | 1853:36 | 307.00 |
| Anton Forsberg | LAK | G | 20.9% | 852.0 | 31.00 | 15.00 | 12.00 | 3.00 | 771.0 | 81.0 | 90.5% | 2.58 | 1883:40 | 302.00 |
| Alex Lyon | BUF | G | 31.3% | 839.0 | 29.00 | 15.00 | 12.00 | 3.00 | 762.0 | 78.0 | 90.7% | 2.70 | 1736:29 | 301.00 |
| Colten Ellis | BUF | G | 16.3% | 837.0 | 31.00 | 12.00 | 15.00 | 3.00 | 748.0 | 89.0 | 89.4% | 2.88 | 1851:54 | 256.00 |
| Pyotr Kochetkov | CAR | G | 53.7% | 810.0 | 31.00 | 21.00 | 9.00 | 1.00 | 729.0 | 75.0 | 90.7% | 2.42 | 1860:11 | 324.00 |
| Alex Nedeljkovic | SJS | G | 16.7% | 807.0 | 27.00 | 12.00 | 12.00 | 3.00 | 716.0 | 80.0 | 90.0% | 2.94 | 1630:47 | 251.00 |
| Sam Montembeault | MTL | G | 13.8% | 793.0 | 27.00 | 14.00 | 12.00 | 2.00 | 690.0 | 80.0 | 89.6% | 2.96 | 1620:20 | 241.00 |
| Daniil Tarasov | DET | G | 11.5% | 746.0 | 26.00 | 11.00 | 11.00 | 2.00 | 674.0 | 78.0 | 89.6% | 2.98 | 1570:10 | 230.00 |
| Casey DeSmith | DAL | G | 15.6% | 729.0 | 26.00 | 13.00 | 11.00 | 2.00 | 665.0 | 66.0 | 91.0% | 2.53 | 1562:24 | 272.00 |
| Leevi Merilainen | VAN | G | 20.4% | 721.0 | 31.00 | 11.00 | 13.00 | 1.00 | 634.0 | 87.0 | 87.9% | 3.63 | 1436:10 | 173.00 |
| Devin Cooley | CGY | G | 12.1% | 717.0 | 25.00 | 10.00 | 13.00 | 3.00 | 641.0 | 72.0 | 89.9% | 2.87 | 1505:54 | 225.00 |
| Charlie Lindgren | WSH | G | 12.2% | 714.0 | 25.00 | 12.00 | 11.00 | 2.00 | 643.0 | 74.0 | 89.7% | 2.96 | 1500:26 | 231.00 |
| Thatcher Demko | VAN | G | 23.6% | 677.0 | 24.00 | 11.00 | 10.00 | 3.00 | 609.0 | 67.0 | 90.1% | 2.80 | 1434:57 | 227.00 |
| Sebastian Cossa | UTA | G | 32.3% | 672.0 | 22.00 | 13.00 | 7.00 | 2.00 | 593.0 | 71.0 | 89.3% | 3.26 | 1307:34 | 210.00 |
| Justus Annunen | NSH | G | 10.4% | 670.0 | 23.00 | 11.00 | 10.00 | 2.00 | 602.0 | 63.0 | 90.5% | 2.73 | 1384:23 | 230.00 |
| Arvid Soderblom | CHI | G | 5.6% | 656.0 | 22.00 | 9.00 | 11.00 | 2.00 | 579.0 | 70.0 | 89.2% | 3.18 | 1320:24 | 183.00 |
| Michael Dipietro | BOS | G | 13.8% | 654.0 | 23.00 | 11.00 | 10.00 | 2.00 | 592.0 | 69.0 | 89.6% | 3.00 | 1378:45 | 203.00 |
| Ville Husso | ANA | G | 7.3% | 643.0 | 22.00 | 10.00 | 10.00 | 2.00 | 571.0 | 65.0 | 89.8% | 2.95 | 1323:26 | 197.00 |
| Sergei Murashov | PIT | G | 61.8% | 598.0 | 31.00 | 9.00 | 9.00 | 3.00 | 539.0 | 59.0 | 90.1% | 2.72 | 1300:52 | 193.00 |
| Dennis Hildeby | TBL | G | 18.6% | 552.0 | 19.00 | 10.00 | 8.00 | 2.00 | 503.0 | 52.0 | 90.6% | 2.72 | 1144:58 | 195.00 |
| Clay Stevenson | WPG | G | 11.4% | 546.0 | 31.00 | 11.00 | 7.00 | 2.00 | 490.0 | 56.0 | 89.7% | 2.86 | 1174:15 | 181.00 |
| Joonas KorpisaloNew team · 1 GP with NYR | NYR | G | 11.6% | 543.0 | 19.00 | 9.00 | 8.00 | 2.00 | 489.0 | 56.0 | 89.7% | 2.95 | 1140:51 | 170.00 |
| Matt Murray | NSH | G | 0.1% | 540.0 | 31.00 | 10.00 | 7.00 | 4.00 | 486.0 | 55.0 | 89.8% | 3.01 | 1098:00 | 179.00 |
| Nico Daws | NJD | G | 17.0% | 535.0 | 18.00 | 9.00 | 8.00 | 2.00 | 485.0 | 54.0 | 90.0% | 3.00 | 1079:05 | 174.00 |
| Semyon Varlamov | NYI | G | 4.9% | 437.0 | 15.00 | 7.00 | 7.00 | 1.00 | 388.0 | 43.0 | 90.0% | 2.87 | 899:19 | 137.00 |
| Frederik AndersenNew team · 0 GP with EDM | EDM | G | 35.2% | 434.0 | 15.00 | 7.00 | 6.00 | 2.00 | 386.0 | 42.0 | 90.2% | 2.80 | 899:29 | 145.00 |
| Elvis Merzlikins | TOR | G | 7.3% | 30.0 | 1.00 | 1.00 | 0.00 | 0.00 | 27.0 | 3.0 | 90.0% | - | 59:52 | 9.00 |
† 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
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 Season
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.
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