NHL Projected Goals Against - Rest of Season
Goals against projections help you avoid bad goalie matchups. Our GA projections show which goalies are facing tough offensive opponents this season. Use this data to bench goalies in difficult spots and stream netminders with favorable matchups.
Wednesday, October 14, 2026
Updated (hourly)
2 games • 72 players
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Forward-looking projections only
ROS stats represent expected future production—they don't include any stats already accumulated this season.
Sorted by Projected Goaltending Goals Against
72 playersShow
Goalies72 of 72
| Player | Team | Pos | Rost% | GA ↑ | GS | W | L | OTL | SV | SA | SV% | GAA† | MIN† | FPTS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Elvis Merzlikins | TOR | G | 7.3% | 3.0 | 1.00 | 1.00 | 0.00 | 0.00 | 27.0 | 30.0 | 90.0% | - | 59:52 | 9.00 |
| Frederik AndersenNew team · 0 GP with EDM | EDM | G | 35.2% | 42.0 | 15.00 | 7.00 | 6.00 | 2.00 | 386.0 | 434.0 | 90.2% | 2.80 | 899:29 | 145.00 |
| Semyon Varlamov | NYI | G | 4.9% | 43.0 | 15.00 | 7.00 | 7.00 | 1.00 | 388.0 | 437.0 | 90.0% | 2.87 | 899:19 | 137.00 |
| Dennis Hildeby | TBL | G | 18.6% | 52.0 | 19.00 | 10.00 | 8.00 | 2.00 | 503.0 | 552.0 | 90.6% | 2.72 | 1144:58 | 195.00 |
| Nico Daws | NJD | G | 17.0% | 54.0 | 18.00 | 9.00 | 8.00 | 2.00 | 485.0 | 535.0 | 90.0% | 3.00 | 1079:05 | 174.00 |
| Matt Murray | NSH | G | 0.1% | 55.0 | 31.00 | 10.00 | 7.00 | 4.00 | 486.0 | 540.0 | 89.8% | 3.01 | 1098:00 | 179.00 |
| Joonas KorpisaloNew team · 1 GP with NYR | NYR | G | 11.6% | 56.0 | 19.00 | 9.00 | 8.00 | 2.00 | 489.0 | 543.0 | 89.7% | 2.95 | 1140:51 | 170.00 |
| Clay Stevenson | WPG | G | 11.4% | 56.0 | 31.00 | 11.00 | 7.00 | 2.00 | 490.0 | 546.0 | 89.7% | 2.86 | 1174:15 | 181.00 |
| Sergei Murashov | PIT | G | 61.8% | 59.0 | 31.00 | 9.00 | 9.00 | 3.00 | 539.0 | 598.0 | 90.1% | 2.72 | 1300:52 | 193.00 |
| Justus Annunen | NSH | G | 10.4% | 63.0 | 23.00 | 11.00 | 10.00 | 2.00 | 602.0 | 670.0 | 90.5% | 2.73 | 1384:23 | 230.00 |
| Ville Husso | ANA | G | 7.3% | 65.0 | 22.00 | 10.00 | 10.00 | 2.00 | 571.0 | 643.0 | 89.8% | 2.95 | 1323:26 | 197.00 |
| Casey DeSmith | DAL | G | 15.6% | 66.0 | 26.00 | 13.00 | 11.00 | 2.00 | 665.0 | 729.0 | 91.0% | 2.53 | 1562:24 | 272.00 |
| Thatcher Demko | VAN | G | 23.6% | 67.0 | 24.00 | 11.00 | 10.00 | 3.00 | 609.0 | 677.0 | 90.1% | 2.80 | 1434:57 | 227.00 |
| Michael Dipietro | BOS | G | 13.8% | 69.0 | 23.00 | 11.00 | 10.00 | 2.00 | 592.0 | 654.0 | 89.6% | 3.00 | 1378:45 | 203.00 |
| Arvid Soderblom | CHI | G | 5.6% | 70.0 | 22.00 | 9.00 | 11.00 | 2.00 | 579.0 | 656.0 | 89.2% | 3.18 | 1320:24 | 183.00 |
| Sebastian Cossa | UTA | G | 32.3% | 71.0 | 22.00 | 13.00 | 7.00 | 2.00 | 593.0 | 672.0 | 89.3% | 3.26 | 1307:34 | 210.00 |
| Scott Wedgewood | COL | G | 88.9% | 72.0 | 31.00 | 19.00 | 10.00 | 2.00 | 794.0 | 870.0 | 91.7% | 2.33 | 1857:39 | 366.00 |
| Devin Cooley | CGY | G | 12.1% | 72.0 | 25.00 | 10.00 | 13.00 | 3.00 | 641.0 | 717.0 | 89.9% | 2.87 | 1505:54 | 225.00 |
| Charlie Lindgren | WSH | G | 12.2% | 74.0 | 25.00 | 12.00 | 11.00 | 2.00 | 643.0 | 714.0 | 89.7% | 2.96 | 1500:26 | 231.00 |
| Pyotr Kochetkov | CAR | G | 53.7% | 75.0 | 31.00 | 21.00 | 9.00 | 1.00 | 729.0 | 810.0 | 90.7% | 2.42 | 1860:11 | 324.00 |
| Dylan Garand | NYR | G | 53.2% | 77.0 | 50.00 | 22.00 | 12.00 | 3.00 | 829.0 | 906.0 | 91.5% | 2.32 | 1989:19 | 400.00 |
| Alex Lyon | BUF | G | 31.3% | 78.0 | 29.00 | 15.00 | 12.00 | 3.00 | 762.0 | 839.0 | 90.7% | 2.70 | 1736:29 | 301.00 |
| Daniil Tarasov | DET | G | 11.5% | 78.0 | 26.00 | 11.00 | 11.00 | 2.00 | 674.0 | 746.0 | 89.6% | 2.98 | 1570:10 | 230.00 |
| Jacob Fowler | MTL | G | 52.3% | 78.0 | 31.00 | 17.00 | 12.00 | 2.00 | 787.0 | 861.0 | 91.0% | 2.51 | 1861:28 | 333.00 |
| Alex Nedeljkovic | SJS | G | 16.7% | 80.0 | 27.00 | 12.00 | 12.00 | 3.00 | 716.0 | 807.0 | 90.0% | 2.94 | 1630:47 | 251.00 |
| Sam Montembeault | MTL | G | 13.8% | 80.0 | 27.00 | 14.00 | 12.00 | 2.00 | 690.0 | 793.0 | 89.6% | 2.96 | 1620:20 | 241.00 |
| Anton Forsberg | LAK | G | 20.9% | 81.0 | 31.00 | 15.00 | 12.00 | 3.00 | 771.0 | 852.0 | 90.5% | 2.58 | 1883:40 | 302.00 |
| Akira Schmid | FLA | G | 24.4% | 82.0 | 31.00 | 15.00 | 12.00 | 4.00 | 797.0 | 884.0 | 90.7% | 2.61 | 1886:19 | 309.00 |
| Anthony Stolarz | TOR | G | 36.4% | 83.0 | 31.00 | 18.00 | 11.00 | 2.00 | 810.0 | 885.0 | 90.7% | 2.69 | 1853:14 | 334.00 |
| Adin Hill | VGK | G | 27.3% | 83.0 | 31.00 | 19.00 | 9.00 | 3.00 | 765.0 | 854.0 | 90.2% | 2.69 | 1853:36 | 307.00 |
| Filip Gustavsson | MIN | G | 61.2% | 83.0 | 30.00 | 15.00 | 12.00 | 2.00 | 790.0 | 855.0 | 90.5% | 2.77 | 1799:54 | 309.00 |
| Joseph Woll | PHI | G | 39.4% | 85.0 | 29.00 | 11.00 | 13.00 | 5.00 | 810.0 | 895.0 | 90.5% | 2.94 | 1737:38 | 288.00 |
| Philipp Grubauer | SEA | G | 15.2% | 87.0 | 31.00 | 16.00 | 11.00 | 2.00 | 822.0 | 915.0 | 90.4% | 2.79 | 1872:27 | 315.00 |
| Leevi Merilainen | VAN | G | 20.4% | 87.0 | 31.00 | 11.00 | 13.00 | 1.00 | 634.0 | 721.0 | 87.9% | 3.63 | 1436:10 | 173.00 |
| Colten Ellis | BUF | G | 16.3% | 89.0 | 31.00 | 12.00 | 15.00 | 3.00 | 748.0 | 837.0 | 89.4% | 2.88 | 1851:54 | 256.00 |
| Calvin Pickard | MIN | G | 4.1% | 90.0 | 31.00 | 13.00 | 18.00 | 0.00 | 770.0 | 867.0 | 89.5% | 2.90 | 1863:40 | 258.00 |
| Devon Levi | EDM | G | 54.0% | 90.0 | 31.00 | 20.00 | 10.00 | 1.00 | 817.0 | 908.0 | 90.1% | 2.91 | 1858:26 | 319.00 |
| Cam Talbot | CBJ | G | 6.6% | 93.0 | 31.00 | 14.00 | 16.00 | 1.00 | 775.0 | 867.0 | 89.3% | 2.99 | 1868:37 | 256.00 |
| Jordan Binnington | STL | G | 26.8% | 93.0 | 31.00 | 14.00 | 13.00 | 3.00 | 786.0 | 874.0 | 89.4% | 3.00 | 1857:10 | 269.00 |
| Samuel Ersson | OTT | G | 10.6% | 96.0 | 31.00 | 13.00 | 13.00 | 3.00 | 757.0 | 857.0 | 88.8% | 3.08 | 1870:47 | 237.00 |
| Brandon Bussi | CAR | G | 93.8% | 105.0 | 39.00 | 22.00 | 12.00 | 5.00 | 931.0 | 1040.0 | 89.9% | 2.69 | 2341:47 | 361.00 |
| Jake Oettinger | DAL | G | 99.1% | 114.0 | 51.00 | 26.00 | 19.00 | 6.00 | 1228.0 | 1343.0 | 91.5% | 2.24 | 3053:52 | 560.00 |
| Linus Ullmark | OTT | G | 88.9% | 116.0 | 51.00 | 34.00 | 14.00 | 3.00 | 1250.0 | 1371.0 | 91.5% | 2.29 | 3043:20 | 581.00 |
| Tristan Jarry | EDM | G | 26.1% | 120.0 | 40.00 | 19.00 | 16.00 | 4.00 | 992.0 | 1110.0 | 89.2% | 3.00 | 2400:44 | 340.00 |
| Joel Hofer | STL | G | 83.0% | 120.0 | 51.00 | 25.00 | 19.00 | 7.00 | 1240.0 | 1374.0 | 91.2% | 2.35 | 3061:00 | 538.00 |
| Arturs Silovs | PIT | G | 57.0% | 123.0 | 41.00 | 22.00 | 15.00 | 3.00 | 1001.0 | 1131.0 | 89.1% | 3.00 | 2457:25 | 360.00 |
| Andrei Vasilevskiy | TBL | G | 99.2% | 124.0 | 51.00 | 29.00 | 18.00 | 3.00 | 1233.0 | 1348.0 | 90.9% | 2.44 | 3050:17 | 528.00 |
| Ilya Sorokin | NYI | G | 97.3% | 126.0 | 51.00 | 26.00 | 21.00 | 4.00 | 1347.0 | 1458.0 | 91.5% | 2.47 | 3054:42 | 590.00 |
| Jesper Wallstedt | MIN | G | 96.4% | 127.0 | 51.00 | 29.00 | 17.00 | 6.00 | 1346.0 | 1474.0 | 91.4% | 2.49 | 3061:02 | 578.00 |
| Jacob Markstrom | FLA | G | 91.8% | 129.0 | 51.00 | 24.00 | 19.00 | 6.00 | 1179.0 | 1303.0 | 90.1% | 2.55 | 3036:17 | 462.00 |
| Jeremy Swayman | BOS | G | 96.6% | 131.0 | 51.00 | 29.00 | 19.00 | 3.00 | 1354.0 | 1490.0 | 91.2% | 2.57 | 3057:52 | 584.00 |
| Karel Vejmelka | UTA | G | 97.9% | 131.0 | 51.00 | 28.00 | 18.00 | 3.00 | 1237.0 | 1361.0 | 90.4% | 2.56 | 3074:35 | 510.00 |
| Carter Hart | VGK | G | 89.0% | 133.0 | 50.00 | 26.00 | 20.00 | 3.00 | 1238.0 | 1375.0 | 90.3% | 2.67 | 2992:12 | 478.00 |
| Logan Thompson | WSH | G | 99.8% | 134.0 | 51.00 | 30.00 | 17.00 | 3.00 | 1336.0 | 1471.0 | 90.9% | 2.63 | 3053:38 | 560.00 |
| Joey Daccord | SEA | G | 67.3% | 135.0 | 51.00 | 26.00 | 21.00 | 3.00 | 1322.0 | 1457.0 | 90.7% | 2.66 | 3041:13 | 532.00 |
| Jakub Dobes | MTL | G | 93.0% | 136.0 | 45.00 | 22.00 | 17.00 | 6.00 | 1169.0 | 1312.0 | 89.6% | 3.03 | 2696:28 | 408.00 |
| Jet Greaves | CBJ | G | 79.8% | 138.0 | 52.00 | 25.00 | 21.00 | 4.00 | 1315.0 | 1452.0 | 90.5% | 2.64 | 3133:43 | 509.00 |
| Connor Hellebuyck | WPG | G | 91.3% | 139.0 | 55.00 | 29.00 | 21.00 | 6.00 | 1412.0 | 1543.0 | 91.0% | 2.53 | 3296:38 | 587.00 |
| Mackenzie Blackwood | COL | G | 91.0% | 139.0 | 51.00 | 30.00 | 18.00 | 3.00 | 1254.0 | 1392.0 | 90.0% | 2.73 | 3056:16 | 492.00 |
| Kevin Lankinen | VAN | G | 22.4% | 141.0 | 50.00 | 13.00 | 23.00 | 3.00 | 847.0 | 990.0 | 85.7% | 4.36 | 1942:17 | 149.00 |
| Stuart Skinner | WPG | G | 62.1% | 141.0 | 51.00 | 28.00 | 18.00 | 5.00 | 1307.0 | 1457.0 | 90.3% | 2.77 | 3052:49 | 504.00 |
| Sergei Bobrovsky | TOR | G | 84.8% | 142.0 | 51.00 | 23.00 | 21.00 | 7.00 | 1385.0 | 1518.0 | 90.7% | 2.79 | 3054:58 | 526.00 |
| Darcy Kuemper | LAK | G | 51.2% | 142.0 | 52.00 | 24.00 | 23.00 | 5.00 | 1306.0 | 1456.0 | 90.2% | 2.76 | 3085:14 | 489.00 |
| Jake Allen | NJD | G | 53.8% | 145.0 | 51.00 | 29.00 | 18.00 | 4.00 | 1282.0 | 1422.0 | 89.8% | 2.84 | 3061:32 | 486.00 |
| John Gibson | DET | G | 63.9% | 148.0 | 51.00 | 20.00 | 24.00 | 7.00 | 1264.0 | 1412.0 | 89.5% | 2.94 | 3021:53 | 419.00 |
| Ukko-Pekka Luukkonen | BUF | G | 66.1% | 150.0 | 51.00 | 25.00 | 20.00 | 6.00 | 1206.0 | 1356.0 | 88.9% | 2.93 | 3076:46 | 407.00 |
| Lukas Dostal | ANA | G | 83.2% | 151.0 | 51.00 | 26.00 | 22.00 | 4.00 | 1315.0 | 1463.0 | 89.7% | 2.97 | 3047:10 | 469.00 |
| Daniel Vladar | PHI | G | 61.4% | 154.0 | 50.00 | 19.00 | 25.00 | 6.00 | 1341.0 | 1495.0 | 89.7% | 3.09 | 2994:38 | 444.00 |
| Juuse Saros | NSH | G | 85.3% | 155.0 | 51.00 | 22.00 | 23.00 | 6.00 | 1373.0 | 1534.0 | 89.9% | 3.05 | 3049:42 | 475.00 |
| Spencer Knight | CHI | G | 73.3% | 158.0 | 51.00 | 22.00 | 25.00 | 4.00 | 1363.0 | 1522.0 | 89.6% | 3.10 | 3056:24 | 460.00 |
| Dustin Wolf | CGY | G | 54.5% | 169.0 | 51.00 | 19.00 | 28.00 | 4.00 | 1304.0 | 1465.0 | 88.5% | 3.33 | 3044:07 | 379.00 |
| Yaroslav Askarov | SJS | G | 74.8% | 176.0 | 51.00 | 21.00 | 25.00 | 4.00 | 1309.0 | 1490.0 | 88.1% | 3.47 | 3039:57 | 366.00 |
† 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 GA matters
Goals against directly impact fantasy scoring. In most formats, each GA costs 1-3 points, potentially negating saves and win bonuses.
GA risk factors
- Opponent offense: Elite offenses score 3.5+ goals per game - Goalie quality: Weaker goalies allow more goals - Team defense: Bad defense leads to high-danger chances - Special teams: Facing good power plays increases GA risk
GA benchmarks
- Low risk: 2.0-2.5 expected GA - Medium risk: 2.5-3.0 expected GA - High risk: 3.0+ expected GA
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Pro Tip: Avoid starting goalies with 3.5+ expected GA. The negative points from goals against often outweigh potential saves and wins.
Avoid These Matchups
Identify high-GA risk matchups. Goalies facing elite offenses may struggle regardless of talent level.
Games Rest of SeasonSafe Goalie Starts
Low-GA projections indicate safe matchups. Target these starts when protecting your goalie categories.
All GoaliesGA vs. Saves Analysis
High GA often comes with high saves. Determine if the saves are worth the goals against risk.
Saves ProjectionsRelated Projections
Build Your Stack
Complete Your Lineup
Frequently Asked Questions
Projected goals against come straight from LineupExperts' projection, a licensed provider; we show their numbers as published and do not adjust them. For a per-60 rate, see projected goals-against average.
Consider benching when facing top-5 offenses, especially on the road. A 4-goal blowup can devastate your fantasy week even if the goalie makes 30 saves.
For fantasy, generally yes. However, goalies facing weak opponents may have low GA but also low saves. Balance GA with other categories.
Look for backup goalies facing top-10 offenses, especially on the road. These are the highest-risk matchups for goals against.
Projections by Category
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Special Teams
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Faceoff & Physical
Faceoffs won, lost and FO%, PIM, takeaways and +/-
Goalie Projections
Starts, wins, losses, saves, SV% and GAA
Fantasy Points
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NHL Team Projections
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