NHL Goalie Projections - Rest of Season
This Season's projected goaltender stats for confirmed and expected starters. Wins, losses, saves, goals against and save percentage come from LineupExperts' projection; minutes and goals-against average are Edgehalla estimates built on it.
Actual results: Wins leaders, 2025-26 →
Forward-looking projections only
ROS stats represent expected future production—they don't include any stats already accumulated this season.
Player Projections
72 playersGoalies72 of 72
| Player | Team | Pos | Rost% | GS | W ↓ | L | OTL | SV | GA | SA | SV% | GAA† | MIN† | FPTS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Linus Ullmark | OTT | G | 88.9% | 51.00 | 34.00 | 14.00 | 3.00 | 1250.0 | 116.0 | 1371.0 | 91.5% | 2.29 | 3043:20 | 581.00 |
| Mackenzie Blackwood | COL | G | 91.0% | 51.00 | 30.00 | 18.00 | 3.00 | 1254.0 | 139.0 | 1392.0 | 90.0% | 2.73 | 3056:16 | 492.00 |
| Logan Thompson | WSH | G | 99.8% | 51.00 | 30.00 | 17.00 | 3.00 | 1336.0 | 134.0 | 1471.0 | 90.9% | 2.63 | 3053:38 | 560.00 |
| Jake Allen | NJD | G | 53.8% | 51.00 | 29.00 | 18.00 | 4.00 | 1282.0 | 145.0 | 1422.0 | 89.8% | 2.84 | 3061:32 | 486.00 |
| Andrei Vasilevskiy | TBL | G | 99.2% | 51.00 | 29.00 | 18.00 | 3.00 | 1233.0 | 124.0 | 1348.0 | 90.9% | 2.44 | 3050:17 | 528.00 |
| Connor Hellebuyck | WPG | G | 91.3% | 55.00 | 29.00 | 21.00 | 6.00 | 1412.0 | 139.0 | 1543.0 | 91.0% | 2.53 | 3296:38 | 587.00 |
| Jeremy Swayman | BOS | G | 96.6% | 51.00 | 29.00 | 19.00 | 3.00 | 1354.0 | 131.0 | 1490.0 | 91.2% | 2.57 | 3057:52 | 584.00 |
| Jesper Wallstedt | MIN | G | 96.4% | 51.00 | 29.00 | 17.00 | 6.00 | 1346.0 | 127.0 | 1474.0 | 91.4% | 2.49 | 3061:02 | 578.00 |
| Stuart Skinner | WPG | G | 62.1% | 51.00 | 28.00 | 18.00 | 5.00 | 1307.0 | 141.0 | 1457.0 | 90.3% | 2.77 | 3052:49 | 504.00 |
| Karel Vejmelka | UTA | G | 97.9% | 51.00 | 28.00 | 18.00 | 3.00 | 1237.0 | 131.0 | 1361.0 | 90.4% | 2.56 | 3074:35 | 510.00 |
| Carter Hart | VGK | G | 89.0% | 50.00 | 26.00 | 20.00 | 3.00 | 1238.0 | 133.0 | 1375.0 | 90.3% | 2.67 | 2992:12 | 478.00 |
| Joey Daccord | SEA | G | 67.3% | 51.00 | 26.00 | 21.00 | 3.00 | 1322.0 | 135.0 | 1457.0 | 90.7% | 2.66 | 3041:13 | 532.00 |
| Jake Oettinger | DAL | G | 99.1% | 51.00 | 26.00 | 19.00 | 6.00 | 1228.0 | 114.0 | 1343.0 | 91.5% | 2.24 | 3053:52 | 560.00 |
| Ilya Sorokin | NYI | G | 97.3% | 51.00 | 26.00 | 21.00 | 4.00 | 1347.0 | 126.0 | 1458.0 | 91.5% | 2.47 | 3054:42 | 590.00 |
| Lukas Dostal | ANA | G | 83.2% | 51.00 | 26.00 | 22.00 | 4.00 | 1315.0 | 151.0 | 1463.0 | 89.7% | 2.97 | 3047:10 | 469.00 |
| Joel Hofer | STL | G | 83.0% | 51.00 | 25.00 | 19.00 | 7.00 | 1240.0 | 120.0 | 1374.0 | 91.2% | 2.35 | 3061:00 | 538.00 |
| Ukko-Pekka Luukkonen | BUF | G | 66.1% | 51.00 | 25.00 | 20.00 | 6.00 | 1206.0 | 150.0 | 1356.0 | 88.9% | 2.93 | 3076:46 | 407.00 |
| Jet Greaves | CBJ | G | 79.8% | 52.00 | 25.00 | 21.00 | 4.00 | 1315.0 | 138.0 | 1452.0 | 90.5% | 2.64 | 3133:43 | 509.00 |
| Darcy Kuemper | LAK | G | 51.2% | 52.00 | 24.00 | 23.00 | 5.00 | 1306.0 | 142.0 | 1456.0 | 90.2% | 2.76 | 3085:14 | 489.00 |
| Jacob Markstrom | FLA | G | 91.8% | 51.00 | 24.00 | 19.00 | 6.00 | 1179.0 | 129.0 | 1303.0 | 90.1% | 2.55 | 3036:17 | 462.00 |
| Sergei Bobrovsky | TOR | G | 84.8% | 51.00 | 23.00 | 21.00 | 7.00 | 1385.0 | 142.0 | 1518.0 | 90.7% | 2.79 | 3054:58 | 526.00 |
| Juuse Saros | NSH | G | 85.3% | 51.00 | 22.00 | 23.00 | 6.00 | 1373.0 | 155.0 | 1534.0 | 89.9% | 3.05 | 3049:42 | 475.00 |
| Spencer Knight | CHI | G | 73.3% | 51.00 | 22.00 | 25.00 | 4.00 | 1363.0 | 158.0 | 1522.0 | 89.6% | 3.10 | 3056:24 | 460.00 |
| Arturs Silovs | PIT | G | 57.0% | 41.00 | 22.00 | 15.00 | 3.00 | 1001.0 | 123.0 | 1131.0 | 89.1% | 3.00 | 2457:25 | 360.00 |
| Dylan Garand | NYR | G | 53.2% | 50.00 | 22.00 | 12.00 | 3.00 | 829.0 | 77.0 | 906.0 | 91.5% | 2.32 | 1989:19 | 400.00 |
| Brandon Bussi | CAR | G | 93.8% | 39.00 | 22.00 | 12.00 | 5.00 | 931.0 | 105.0 | 1040.0 | 89.9% | 2.69 | 2341:47 | 361.00 |
| Jakub Dobes | MTL | G | 93.0% | 45.00 | 22.00 | 17.00 | 6.00 | 1169.0 | 136.0 | 1312.0 | 89.6% | 3.03 | 2696:28 | 408.00 |
| Pyotr Kochetkov | CAR | G | 53.7% | 31.00 | 21.00 | 9.00 | 1.00 | 729.0 | 75.0 | 810.0 | 90.7% | 2.42 | 1860:11 | 324.00 |
| Yaroslav Askarov | SJS | G | 74.8% | 51.00 | 21.00 | 25.00 | 4.00 | 1309.0 | 176.0 | 1490.0 | 88.1% | 3.47 | 3039:57 | 366.00 |
| John Gibson | DET | G | 63.9% | 51.00 | 20.00 | 24.00 | 7.00 | 1264.0 | 148.0 | 1412.0 | 89.5% | 2.94 | 3021:53 | 419.00 |
| Devon Levi | EDM | G | 54.0% | 31.00 | 20.00 | 10.00 | 1.00 | 817.0 | 90.0 | 908.0 | 90.1% | 2.91 | 1858:26 | 319.00 |
| Scott Wedgewood | COL | G | 88.9% | 31.00 | 19.00 | 10.00 | 2.00 | 794.0 | 72.0 | 870.0 | 91.7% | 2.33 | 1857:39 | 366.00 |
| Tristan Jarry | EDM | G | 26.1% | 40.00 | 19.00 | 16.00 | 4.00 | 992.0 | 120.0 | 1110.0 | 89.2% | 3.00 | 2400:44 | 340.00 |
| Adin Hill | VGK | G | 27.3% | 31.00 | 19.00 | 9.00 | 3.00 | 765.0 | 83.0 | 854.0 | 90.2% | 2.69 | 1853:36 | 307.00 |
| Daniel Vladar | PHI | G | 61.4% | 50.00 | 19.00 | 25.00 | 6.00 | 1341.0 | 154.0 | 1495.0 | 89.7% | 3.09 | 2994:38 | 444.00 |
| Dustin Wolf | CGY | G | 54.5% | 51.00 | 19.00 | 28.00 | 4.00 | 1304.0 | 169.0 | 1465.0 | 88.5% | 3.33 | 3044:07 | 379.00 |
| Anthony Stolarz | TOR | G | 36.4% | 31.00 | 18.00 | 11.00 | 2.00 | 810.0 | 83.0 | 885.0 | 90.7% | 2.69 | 1853:14 | 334.00 |
| Jacob Fowler | MTL | G | 52.3% | 31.00 | 17.00 | 12.00 | 2.00 | 787.0 | 78.0 | 861.0 | 91.0% | 2.51 | 1861:28 | 333.00 |
| Philipp Grubauer | SEA | G | 15.2% | 31.00 | 16.00 | 11.00 | 2.00 | 822.0 | 87.0 | 915.0 | 90.4% | 2.79 | 1872:27 | 315.00 |
| Anton Forsberg | LAK | G | 20.9% | 31.00 | 15.00 | 12.00 | 3.00 | 771.0 | 81.0 | 852.0 | 90.5% | 2.58 | 1883:40 | 302.00 |
| Alex Lyon | BUF | G | 31.3% | 29.00 | 15.00 | 12.00 | 3.00 | 762.0 | 78.0 | 839.0 | 90.7% | 2.70 | 1736:29 | 301.00 |
| Filip Gustavsson | MIN | G | 61.2% | 30.00 | 15.00 | 12.00 | 2.00 | 790.0 | 83.0 | 855.0 | 90.5% | 2.77 | 1799:54 | 309.00 |
| Akira Schmid | FLA | G | 24.4% | 31.00 | 15.00 | 12.00 | 4.00 | 797.0 | 82.0 | 884.0 | 90.7% | 2.61 | 1886:19 | 309.00 |
| Cam Talbot | CBJ | G | 6.6% | 31.00 | 14.00 | 16.00 | 1.00 | 775.0 | 93.0 | 867.0 | 89.3% | 2.99 | 1868:37 | 256.00 |
| Jordan Binnington | STL | G | 26.8% | 31.00 | 14.00 | 13.00 | 3.00 | 786.0 | 93.0 | 874.0 | 89.4% | 3.00 | 1857:10 | 269.00 |
| Sam Montembeault | MTL | G | 13.8% | 27.00 | 14.00 | 12.00 | 2.00 | 690.0 | 80.0 | 793.0 | 89.6% | 2.96 | 1620:20 | 241.00 |
| Calvin Pickard | MIN | G | 4.1% | 31.00 | 13.00 | 18.00 | 0.00 | 770.0 | 90.0 | 867.0 | 89.5% | 2.90 | 1863:40 | 258.00 |
| Casey DeSmith | DAL | G | 15.6% | 26.00 | 13.00 | 11.00 | 2.00 | 665.0 | 66.0 | 729.0 | 91.0% | 2.53 | 1562:24 | 272.00 |
| Kevin Lankinen | VAN | G | 22.4% | 50.00 | 13.00 | 23.00 | 3.00 | 847.0 | 141.0 | 990.0 | 85.7% | 4.36 | 1942:17 | 149.00 |
| Samuel Ersson | OTT | G | 10.6% | 31.00 | 13.00 | 13.00 | 3.00 | 757.0 | 96.0 | 857.0 | 88.8% | 3.08 | 1870:47 | 237.00 |
| Sebastian Cossa | UTA | G | 32.3% | 22.00 | 13.00 | 7.00 | 2.00 | 593.0 | 71.0 | 672.0 | 89.3% | 3.26 | 1307:34 | 210.00 |
| Charlie Lindgren | WSH | G | 12.2% | 25.00 | 12.00 | 11.00 | 2.00 | 643.0 | 74.0 | 714.0 | 89.7% | 2.96 | 1500:26 | 231.00 |
| Alex Nedeljkovic | SJS | G | 16.7% | 27.00 | 12.00 | 12.00 | 3.00 | 716.0 | 80.0 | 807.0 | 90.0% | 2.94 | 1630:47 | 251.00 |
| Colten Ellis | BUF | G | 16.3% | 31.00 | 12.00 | 15.00 | 3.00 | 748.0 | 89.0 | 837.0 | 89.4% | 2.88 | 1851:54 | 256.00 |
| Thatcher Demko | VAN | G | 23.6% | 24.00 | 11.00 | 10.00 | 3.00 | 609.0 | 67.0 | 677.0 | 90.1% | 2.80 | 1434:57 | 227.00 |
| Michael Dipietro | BOS | G | 13.8% | 23.00 | 11.00 | 10.00 | 2.00 | 592.0 | 69.0 | 654.0 | 89.6% | 3.00 | 1378:45 | 203.00 |
| Joseph Woll | PHI | G | 39.4% | 29.00 | 11.00 | 13.00 | 5.00 | 810.0 | 85.0 | 895.0 | 90.5% | 2.94 | 1737:38 | 288.00 |
| Daniil Tarasov | DET | G | 11.5% | 26.00 | 11.00 | 11.00 | 2.00 | 674.0 | 78.0 | 746.0 | 89.6% | 2.98 | 1570:10 | 230.00 |
| Leevi Merilainen | VAN | G | 20.4% | 31.00 | 11.00 | 13.00 | 1.00 | 634.0 | 87.0 | 721.0 | 87.9% | 3.63 | 1436:10 | 173.00 |
| Justus Annunen | NSH | G | 10.4% | 23.00 | 11.00 | 10.00 | 2.00 | 602.0 | 63.0 | 670.0 | 90.5% | 2.73 | 1384:23 | 230.00 |
| Clay Stevenson | WPG | G | 11.4% | 31.00 | 11.00 | 7.00 | 2.00 | 490.0 | 56.0 | 546.0 | 89.7% | 2.86 | 1174:15 | 181.00 |
| Ville Husso | ANA | G | 7.3% | 22.00 | 10.00 | 10.00 | 2.00 | 571.0 | 65.0 | 643.0 | 89.8% | 2.95 | 1323:26 | 197.00 |
| Matt Murray | NSH | G | 0.1% | 31.00 | 10.00 | 7.00 | 4.00 | 486.0 | 55.0 | 540.0 | 89.8% | 3.01 | 1098:00 | 179.00 |
| Dennis Hildeby | TBL | G | 18.6% | 19.00 | 10.00 | 8.00 | 2.00 | 503.0 | 52.0 | 552.0 | 90.6% | 2.72 | 1144:58 | 195.00 |
| Devin Cooley | CGY | G | 12.1% | 25.00 | 10.00 | 13.00 | 3.00 | 641.0 | 72.0 | 717.0 | 89.9% | 2.87 | 1505:54 | 225.00 |
| Joonas KorpisaloNew team · 1 GP with NYR | NYR | G | 11.6% | 19.00 | 9.00 | 8.00 | 2.00 | 489.0 | 56.0 | 543.0 | 89.7% | 2.95 | 1140:51 | 170.00 |
| Nico Daws | NJD | G | 17.0% | 18.00 | 9.00 | 8.00 | 2.00 | 485.0 | 54.0 | 535.0 | 90.0% | 3.00 | 1079:05 | 174.00 |
| Arvid Soderblom | CHI | G | 5.6% | 22.00 | 9.00 | 11.00 | 2.00 | 579.0 | 70.0 | 656.0 | 89.2% | 3.18 | 1320:24 | 183.00 |
| Sergei Murashov | PIT | G | 61.8% | 31.00 | 9.00 | 9.00 | 3.00 | 539.0 | 59.0 | 598.0 | 90.1% | 2.72 | 1300:52 | 193.00 |
| Frederik AndersenNew team · 0 GP with EDM | EDM | G | 35.2% | 15.00 | 7.00 | 6.00 | 2.00 | 386.0 | 42.0 | 434.0 | 90.2% | 2.80 | 899:29 | 145.00 |
| Semyon Varlamov | NYI | G | 4.9% | 15.00 | 7.00 | 7.00 | 1.00 | 388.0 | 43.0 | 437.0 | 90.0% | 2.87 | 899:19 | 137.00 |
| Elvis Merzlikins | TOR | G | 7.3% | 1.00 | 1.00 | 0.00 | 0.00 | 27.0 | 3.0 | 30.0 | 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 goalies are crucial
A single goalie start can swing your entire fantasy week. Wins, saves, save percentage, and shutouts are high-impact stats that require careful matchup analysis.
Key factors in goalie projections
- Team strength: Goalies on better teams win more games - Opponent offense: Facing weak offenses = better SV% and shutout odds - Workload: More shots against = more save opportunities - Home/away: Most goalies perform better at home
Goalie streaming strategy
Target backup goalies facing weak opponents when your starter has an off-night.
Confirmed Starting Goalies
Need to know who's confirmed to start this season? Our dedicated starting goalies page shows confirmation status, certainty levels, and opponent matchup ratings.
Starting Goalies Rest of SeasonBest Goalie Matchups This Season
Win probability isn't everything—look at opponent shot volume and quality. Goalies facing high-quantity, low-quality shots can rack up saves while maintaining good SV%.
Saves ProjectionsShutout Chances This Season
Chasing a shutout? Filter for goalies facing bottom-5 offenses with elite recent save percentages.
Shutout ProjectionsRelated Projections
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