Edgehalla

NHL Projected Shots Against Next Week

Shots against indicate goalie workload and save opportunity volume. Our projections show which goalies are expected to face heavy rubber next week. High shot volume can be good (more saves) or bad (more goals against risk) depending on your fantasy format (Oct 19-25 (Week 4)). (Oct 19-25 (Week 4))

Wednesday, October 14, 2026
Updated (hourly)
2 games • 56 players

Sorted by Projected Goaltending Shots Against(Oct 19-25 (Week 4))

56 players
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Goalies56 of 56

PlayerTeamPosRost%SA ↓GSWLOTLSVGASV%GAA†MIN†FPTS
Sergei BobrovskyTORG84.8%83.33.001.221.410.3674.58.789.5%2.92179:4225.17
Anthony StolarzTORG36.4%82.63.001.441.290.2774.38.290.0%2.75179:2127.66
Connor HellebuyckWPGG91.3%81.33.001.601.100.3075.17.191.4%2.37179:4932.30
Jesper WallstedtMING96.4%80.53.001.570.930.3072.67.990.1%2.65180:0428.24
Yaroslav AskarovSJSG74.8%80.33.001.081.400.3270.59.887.8%3.29178:4918.65
Lukas DostalANAG83.2%78.73.001.371.170.2670.58.289.6%2.74179:1524.90
Calvin PickardMING4.1%77.53.001.371.380.1568.98.688.9%2.86180:2122.41
Mackenzie BlackwoodCOLG91.0%77.23.001.840.940.2269.87.490.5%2.46179:4729.23
Philipp GrubauerSEAG15.2%61.02.000.940.860.2055.15.990.3%2.95120:4820.42
Joey DaccordSEAG67.3%60.02.000.960.880.1554.35.690.6%2.83119:1621.02
Dustin WolfCGYG54.5%59.62.000.851.150.2053.56.089.9%3.04119:2318.34
Juuse SarosNSHG85.3%59.02.000.720.960.2252.46.688.9%3.29119:3615.75
Spencer KnightCHIG73.3%58.42.000.920.970.2152.46.089.8%2.99119:5218.27
Logan ThompsonWSHG99.8%57.82.001.260.800.1452.65.291.0%2.62119:4522.54
Devon LeviEDMG54.0%57.62.001.220.740.1451.66.089.5%3.03119:5418.95
Daniel VladarPHIG61.4%57.62.000.711.020.2651.26.389.0%3.17119:4715.87
Cam TalbotCBJG6.6%56.82.001.070.990.1450.56.388.9%3.14120:3316.49
Jake AllenNJDG53.8%56.82.001.130.780.1950.95.889.7%2.92120:0419.07
Jet GreavesCBJG79.8%56.72.001.110.810.1851.05.889.8%2.87120:3219.36
Andrei VasilevskiyTBLG99.2%56.32.000.840.800.1750.85.590.2%2.78119:3718.95
Joel HoferSTLG83.0%56.02.000.970.880.2550.65.490.4%2.69120:0220.27
Leevi MerilainenVANG20.4%54.82.000.720.830.1648.76.188.9%3.03120:4814.53
Darcy KuemperLAKG51.2%54.42.000.800.880.2149.05.490.0%2.75118:4017.73
Ilya SorokinNYIG97.3%54.32.001.090.820.1949.25.190.6%2.55119:4820.60
Anton ForsbergLAKG20.9%54.12.000.850.840.2148.75.490.1%2.65121:3217.77
Karel VejmelkaUTAG97.9%53.62.001.170.600.1348.15.589.8%2.73120:3418.97
Jeremy SwaymanBOSG96.6%53.12.001.210.750.1448.15.090.6%2.50119:5520.38
Stuart SkinnerWPGG62.1%53.12.000.960.720.2147.75.489.8%2.72119:4317.37
Scott WedgewoodCOLG88.9%53.02.001.180.580.1448.34.791.2%2.34119:5121.73
Carter HartVGKG89.0%52.22.001.030.720.1547.05.290.1%2.60119:4118.11
John GibsonDETG63.9%52.22.000.920.830.2546.55.789.2%2.86118:3015.69
Adin HillVGKG27.3%52.22.001.120.680.2047.05.290.0%2.61119:3518.29
Akira SchmidFLAG24.4%50.92.000.860.780.2645.55.489.4%2.66121:4215.84
Samuel ErssonOTTG10.6%50.72.000.990.810.2045.05.788.7%2.85120:4215.07
Kevin LankinenVANG22.4%50.62.000.610.840.1644.56.287.8%4.2387:1811.28
Jacob FowlerMTLG52.3%50.42.001.140.720.1445.54.990.2%2.47120:0618.53
Jake OettingerDALG99.1%50.02.001.100.860.2445.14.990.1%2.48119:4619.08
Linus UllmarkOTTG88.9%50.02.001.300.660.1445.34.790.6%2.37119:2119.80
Colten EllisBUFG16.3%49.52.000.930.870.2044.05.489.0%2.73119:2915.97
Ukko-Pekka LuukkonenBUFG66.1%49.12.001.040.770.2043.75.588.9%2.72120:3915.44
Jacob MarkstromFLAG91.8%47.72.000.920.680.2142.65.189.2%2.59119:0415.72
Matt MurrayNSHG0.1%46.42.000.630.400.2741.45.089.1%4.1572:4812.90
Pyotr KochetkovCARG53.7%46.12.001.260.600.1341.15.089.1%2.52120:0115.92
Sergei MurashovPITG61.8%45.12.000.860.250.1940.54.689.7%3.2784:5014.84
Clay StevensonWPGG11.4%42.62.000.720.310.1738.14.589.5%3.6873:2013.13
Dylan GarandNYRG53.2%42.32.000.890.360.1538.04.389.8%3.5872:0115.48
Joseph WollPHIG39.4%29.31.000.390.550.1626.33.089.7%3.0259:558.50
Jordan BinningtonSTLG26.8%28.71.000.430.470.1025.63.189.1%3.1459:558.28
Tristan JarryEDMG26.1%28.11.000.530.380.0925.03.189.1%3.0760:018.54
Alex NedeljkovicSJSG16.7%27.11.000.370.420.1124.03.088.8%3.0060:247.42
Arturs SilovsPITG57.0%26.81.000.560.440.0923.93.089.0%2.9559:568.51
Ville HussoANAG7.3%26.51.000.390.410.1123.72.889.3%2.8260:097.81
Daniil TarasovDETG11.5%26.51.000.460.340.1023.62.989.1%2.8860:237.94
Sam MontembeaultMTLG13.8%26.01.000.540.360.0923.32.789.8%2.6660:018.55
Jakub DobesMTLG93.0%25.81.000.550.360.0923.12.789.5%2.7259:558.44
Brandon BussiCARG93.8%23.31.000.550.250.0920.52.788.3%2.7260:037.40

† 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 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

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Pro Tip: In saves leagues, high SA is good. In GAA leagues, high SA is risky. Know your scoring format before targeting workload.

High-Volume Games Next Week

Identify which goalies will be busy. High shot volume creates save opportunities for those chasing saves.

Saves Projections

Low-Volume Safe Starts

Goalies facing low shot volume have better SV% and lower GA risk. Target these for efficiency.

Save Percentage

Workload Analysis

Cross-reference shots against with wins and saves to find the best overall goalie values.

All Goalies

Related Projections

Frequently Asked Questions

Projected shots against come straight from LineupExperts' projection, a licensed provider; we show their numbers as published and do not adjust them.
It depends on your format. More shots = more saves (good) but also more GA risk (bad). Balance based on your league's scoring system.
Goalies on weaker defensive teams facing high-volume shooting opponents face the most shots. Teams like San Jose and Columbus allow lots of shots.
Not directly, but shot quality matters. Facing 35 low-danger shots is easier than facing 25 high-danger chances.

Projections by Category

Find projected leaders for specific stats

Scoring Projections

Goals, assists, and points leaders

Peripheral Stats

SOG, hits, blocks, ice time, giveaways and shifts

Faceoff & Physical

Faceoffs won, lost and FO%, PIM, takeaways and +/-

Goalie Projections

Starts, wins, losses, saves, SV% and GAA

Fantasy Points

Standard, DraftKings, and FanDuel

NHL Team Projections

Click a team to see next week player projections