Edgehalla

NHL Projected Shorthanded Goals This Week

Shorthanded goals are rare: about 3% of all goals. These projections estimate each player's share of his projected goals that come while killing a penalty. The ranking is driven mostly by penalty-kill ice time times a mostly league-level scoring rate, so treat it as a guide to who is on the ice shorthanded, not a prediction of who will score (Oct 12-18 (Week 3)). (Oct 12-18 (Week 3))

Wednesday, October 14, 2026
Updated (hourly)
2 games • 691 players

Edgehalla model: derived from LineupExperts' goals, assists and ice-time projection plus NHL history.

Shorthanded scoring is rare and streaky: even the leaders score only a few a season. These projections are driven mostly by penalty-kill ice time, with each team’s total held to the league’s shorthanded share of its projected goals and assists. How the model works

Sorted by Projected Short Handed Goals(Oct 12-18 (Week 3))

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PlayerTeamPosRost%SHG† ↓GAPTSSOGHITBLKPIMPPG†PPA†PPP†SHA†SHP†GWG†FOW†FOL†FO%†TK†GV†+/-†TOISFT†FPTS
Tim StutzleOTTC99.7%0.111.802.804.609.106.502.401.500.571.061.630.070.180.4517.7816.0152.6%1.384.340.0783:00104.8637.20
Matthew BoldyMINRW100.0%0.091.701.903.6013.603.403.601.900.460.591.060.040.130.353.033.70-1.604.13-0.4884:0082.9338.10
Sam ReinhartFLARW97.3%0.082.401.604.0011.404.402.100.800.970.651.620.020.110.517.929.4945.5%1.213.870.0284:0094.2336.40
Brandon HagelTBLLW99.3%0.081.501.803.309.802.201.902.100.440.601.040.050.130.150.951.17-1.172.980.3562:0070.8830.00
Alex TuchWSHRW93.8%0.081.101.102.206.802.803.601.500.180.190.370.040.120.102.312.79-1.222.750.6657:4873.8022.70
Jack EichelVGKC99.9%0.071.803.104.9014.601.402.600.800.531.371.900.080.150.4830.3533.7647.3%1.474.74-0.0385:0089.1445.10
Blake ColemanMINRW41.3%0.070.901.001.908.908.202.903.300.130.150.280.030.100.181.111.39-1.143.74-0.4468:3689.1021.00
Tom WilsonWSHRW94.2%0.071.101.202.305.808.002.903.400.240.270.510.040.110.100.550.67-0.862.970.6457:3669.2521.70
Pius SuterSTLC4.1%0.070.600.501.104.101.801.000.500.040.040.070.020.090.0913.7414.9048.0%0.712.300.1648:3065.3811.50
Shane PintoOTTC43.7%0.071.101.702.907.804.902.702.100.270.480.750.060.120.2724.0223.2250.8%1.293.500.0775:24103.6125.60
Ryan O'ReillyNSHC81.0%0.060.901.602.505.200.702.601.000.260.520.780.050.120.1327.3622.7954.6%1.082.64-0.1060:1871.3919.20
Nico HischierNJDC95.3%0.061.401.703.1010.102.403.001.000.430.530.960.040.110.1647.9339.3954.9%1.273.69-0.1281:5493.7229.70
Aliaksei ProtasWSHLW52.3%0.060.901.102.005.501.101.800.700.030.040.060.040.100.081.131.29-0.832.600.6451:2463.8317.70
Anton LundellFLAC42.0%0.060.901.402.209.305.301.901.800.260.450.710.040.110.1931.1529.1751.6%1.003.660.0270:4289.9922.40
Fraser MintenBOSC45.7%0.061.000.901.805.304.401.400.600.130.120.250.030.090.1014.3815.5248.1%0.812.090.5145:5458.0517.40
Mark JankowskiCARC9.0%0.061.000.401.503.802.001.600.500.130.060.190.010.080.2016.1116.6749.1%0.541.91-0.0137:3052.4013.30
Justin DanforthBUFC0.0%0.060.500.601.204.906.202.901.200.000.010.010.040.100.0919.8521.2448.3%0.912.680.2956:1288.0212.20
Bryan RustPITRW82.9%0.061.101.202.207.101.602.300.900.220.280.500.030.090.100.260.33-0.882.880.3459:3070.6719.90
Ryan McLeodBUFC21.6%0.060.701.201.904.100.801.600.800.120.240.350.040.100.1328.7729.0249.8%1.083.540.3065:2490.7713.60
Frederick GaudreauSEAC7.0%0.060.600.501.103.101.502.400.300.020.020.040.020.080.1315.6217.7046.9%0.782.140.2847:1263.6611.40
Will CuylleNYRLW64.5%0.061.000.901.906.1012.101.801.700.160.180.330.020.080.082.012.20-0.622.231.0947:1264.8018.40
Dylan LarkinDETC95.1%0.061.401.602.909.701.801.401.600.400.500.910.030.090.1731.5928.2752.8%0.943.240.0660:3672.0025.90
Lawson CrouseUTARW32.8%0.060.700.601.305.408.301.801.600.060.060.120.030.090.071.001.28-0.722.13-0.0246:0665.8214.60
Auston MatthewsTORC99.1%0.061.902.104.0011.202.003.700.700.520.631.150.030.090.3528.3921.2457.2%1.122.89-0.1563:2469.8837.40
Sebastian AhoCARC99.7%0.061.302.303.608.702.201.202.000.450.871.320.070.120.2524.1222.1152.2%0.903.27-0.0260:1269.0529.80
Nick PaulTORC8.1%0.060.600.701.303.804.602.001.500.090.120.200.030.090.1115.4916.0649.1%0.712.09-0.1246:2459.4210.80
Anthony CirelliTBLC46.0%0.060.801.001.805.702.202.201.600.130.180.310.040.100.0823.6724.8548.8%0.872.660.3454:1270.4318.20
Connor McDavidEDMC99.7%0.061.503.605.108.801.901.301.500.411.481.890.050.100.2517.4117.8149.4%1.123.73-0.4069:0671.7839.50
Mark StoneVGKRW94.7%0.061.302.603.908.902.703.101.000.411.111.520.040.100.340.380.48-1.273.78-0.0377:3085.5534.80
Tye KartyeNYRLW8.1%0.060.600.801.403.408.401.701.700.010.010.020.030.090.050.320.40-0.551.600.9236:1852.1311.60
Josh AndersonMTLRW11.1%0.050.600.401.003.806.101.403.700.010.010.020.020.070.090.660.69-0.641.990.4342:4256.9610.30
William KarlssonVGKC19.3%0.051.001.002.008.301.002.900.500.130.140.280.030.080.2632.0423.0758.1%1.093.04-0.0368:3682.1522.10
Collin GrafSJSLW24.5%0.050.600.601.204.403.101.600.600.020.020.040.030.080.090.891.22-0.792.14-0.6448:1258.9211.20
Brock NelsonCOLC86.6%0.050.900.901.806.301.302.301.000.190.220.410.030.080.1625.5925.3950.2%0.882.630.4756:4870.5318.70
Kyle ConnorWPGLW98.9%0.051.601.703.3010.301.001.000.500.400.450.850.030.080.380.050.06-0.982.950.1263:0667.1829.20
Connor DewarPITLW3.4%0.050.400.500.904.004.801.600.900.010.010.020.040.090.042.122.29-0.611.800.2539:1853.5810.10
Bo HorvatNYIC92.4%0.051.401.202.6010.103.201.401.200.430.370.790.030.090.1628.4822.5155.9%0.923.12-0.0461:0669.8525.90
Jake EvansMTLC4.9%0.050.400.601.003.004.102.300.900.000.010.010.040.090.0621.2518.1953.9%0.792.150.4646:0659.469.40
Alexander KerfootNSHLW3.2%0.050.500.801.202.902.202.400.900.060.120.180.030.080.078.077.8050.8%0.782.21-0.0844:3663.3510.40
Brett HowdenVGKLW14.6%0.051.001.002.106.305.501.902.100.030.040.070.030.080.2613.4212.9650.9%0.882.97-0.0360:3079.0219.50
Alex NewhookMTLLW24.6%0.050.700.801.504.103.701.401.000.100.130.230.030.080.1011.5011.3650.3%0.682.180.4346:1259.1712.40
Dawson MercerNJDRW21.7%0.050.701.001.707.801.502.201.100.060.090.150.030.080.085.236.59-1.193.32-0.1270:4285.5217.10
Nick SchmaltzUTARW97.1%0.051.301.502.808.001.301.600.700.470.490.970.030.070.1313.6415.4147.0%1.122.83-0.0357:2470.6724.30
Arttu HyryDALC4.0%0.050.200.200.503.504.901.200.400.000.000.000.020.070.0314.7811.7655.7%0.541.680.0635:4847.906.20
Mika ZibanejadNYRC98.2%0.050.902.002.807.103.902.300.600.260.640.900.040.080.0721.6418.9753.3%1.043.281.2860:4873.1823.20
Christian DvorakPHIC13.4%0.050.700.801.504.902.301.900.900.100.130.230.030.070.0921.9119.0253.5%0.832.31-0.4750:3666.2113.30
Frank NazarCHIC49.4%0.050.801.101.906.601.701.901.200.170.270.440.030.080.0816.8418.5447.6%0.902.85-0.6852:2463.3015.70
Ben MeyersSEAC5.8%0.050.300.701.002.703.501.000.900.010.020.030.030.080.068.468.1550.9%0.541.630.2034:4852.107.30
Artturi LehkonenCOLLW75.9%0.040.900.801.805.601.901.700.800.170.140.310.020.070.160.330.42-0.892.770.4958:1271.7219.40
Boone JennerWSHC23.1%0.040.700.801.506.105.903.201.400.030.040.070.030.070.0612.7110.5854.6%0.762.450.6149:3663.6216.90
Colton SissonsTORC3.3%0.040.300.200.503.205.401.900.800.020.010.030.010.060.0615.3012.5554.9%0.691.99-0.1242:1259.226.90
Ilya MikheyevTBLRW7.5%0.040.600.601.204.901.700.800.500.010.010.020.030.070.060.140.18-0.772.370.3348:0660.9411.30
Tyson FoersterPHILW35.9%0.040.800.601.406.903.902.201.800.190.150.340.010.060.100.060.07-0.762.26-0.4451:3667.2314.10
Simon HolmstromNYIRW14.8%0.040.700.801.504.300.801.700.400.100.130.230.040.080.080.210.26-0.832.38-0.0349:4265.4913.30
Logan StankovenCARC80.3%0.041.000.901.906.801.601.300.600.190.180.360.020.060.2013.1916.0445.1%0.772.22-0.0248:0057.6019.10
Teuvo TeravainenCHILW11.0%0.040.501.001.503.600.701.300.300.060.150.220.040.080.052.062.36-0.792.58-0.7051:0065.1111.00
Vincent TrocheckUTAC84.8%0.040.901.001.806.108.802.002.100.170.220.390.020.060.0927.6921.0856.8%0.923.05-0.0359:5475.0816.60
Joel Eriksson EkMINC77.8%0.041.001.402.4011.505.602.501.400.260.420.680.030.070.2038.8539.5149.6%1.243.48-0.4678:4282.0129.40
Cole KoepkeWPGLW0.0%0.040.300.300.603.607.601.000.600.000.010.010.030.070.070.050.06-0.521.600.0732:3046.267.20
Ty DellandreaSJSC0.1%0.040.200.400.603.106.801.901.700.000.010.010.040.080.0314.0213.7350.5%0.611.81-0.5138:0649.545.10
Alex FormentonEDMLW8.9%0.040.500.400.904.903.901.502.000.020.020.040.030.070.080.270.33-0.662.02-0.3044:3668.5810.60
Marat KhusnutdinovBOSLW10.5%0.040.500.601.102.901.901.300.400.030.040.070.020.060.053.303.58-0.641.990.4740:2452.4910.60
Emil HeinemanNYILW29.3%0.040.700.501.206.308.901.600.800.080.060.130.010.050.080.330.42-0.651.94-0.0343:0054.9813.40
Cole SmithCHILW0.1%0.040.300.300.703.007.600.802.100.000.000.000.020.060.030.440.56-0.651.85-0.6141:0057.286.40
Michael McCarronMINC10.7%0.040.300.600.905.109.304.303.600.000.010.010.040.080.0626.4324.3752.0%0.922.61-0.3956:1271.9012.40
Teddy BluegerTORC3.2%0.040.200.500.702.803.701.501.500.010.020.020.040.080.0415.2015.7449.1%0.692.07-0.1241:4256.506.90
Mitch MarnerVGKRW98.9%0.041.202.904.109.201.502.600.900.371.101.480.050.090.325.036.74-1.674.91-0.0382:4289.2332.60
Pavel BuchnevichSTLRW31.5%0.040.601.001.605.001.101.200.700.110.240.350.040.080.093.404.80-0.882.720.1655:2470.0314.60
Eetu LuostarinenFLALW14.3%0.040.600.801.405.507.203.002.100.120.160.280.030.060.134.725.30-0.953.080.0264:0084.6216.00
Jack DruryNSHC4.8%0.040.300.601.003.801.902.501.300.010.020.030.030.070.0418.7215.5154.7%0.731.85-0.0841:3055.7511.10
Tim WasheANAC8.5%0.040.200.200.402.005.601.700.800.020.020.040.020.060.0312.6011.0053.4%0.391.16-0.0725:3036.814.60
Benjamin KindelPITRW49.9%0.040.700.701.405.801.101.800.500.220.230.450.020.060.0711.4913.4546.1%0.792.500.2446:0655.1913.80
Parker KellyCOLLW17.7%0.040.400.601.003.306.102.501.100.010.010.020.030.070.074.605.7344.5%0.631.990.3538:0654.7710.80
Connor BrownNJDRW5.8%0.040.500.801.203.800.801.200.500.080.150.230.030.070.060.330.41-0.501.48-0.0530:4236.0111.20
Joel ArmiaLAKRW3.3%0.040.400.300.602.802.501.100.600.030.030.060.010.050.100.931.21-0.501.38-0.1128:0638.466.70
Blake LizottePITC0.2%0.040.300.801.103.002.701.701.400.010.020.030.050.090.0313.0014.0848.0%0.592.000.2539:3055.589.50
Joel FarabeeCGYLW11.4%0.040.500.701.205.301.601.801.300.080.150.230.020.060.051.071.33-0.832.39-1.5548:4262.9811.10
Sam SteelDALC5.8%0.040.400.801.203.702.601.200.800.010.030.040.030.060.065.635.4251.0%0.682.180.0745:2457.059.90
Mikael BacklundCGYC12.0%0.040.400.601.106.701.201.200.700.020.030.050.030.070.0427.0827.6849.5%0.882.86-1.8955:0072.6812.40
Valeri NichushkinCBJRW52.7%0.040.901.001.906.703.101.300.700.130.170.300.020.050.170.190.22-0.882.900.1354:4270.9418.10
Robert ThomasSTLC85.3%0.030.701.702.405.200.501.601.000.130.380.510.030.070.1127.9825.4352.4%0.983.300.1758:4273.3319.50
Morgan BarronWPGC4.8%0.030.300.400.803.906.102.001.000.010.010.020.020.050.079.189.6648.7%0.571.680.0836:2451.779.70
Andrew CoppDETC8.3%0.030.401.101.504.701.602.200.800.070.240.310.040.080.0520.9818.4153.3%0.732.560.0548:5464.9313.50
Jack HughesNJDC99.4%0.031.603.104.7015.500.402.100.700.391.081.470.030.060.1913.0319.9439.5%1.515.26-0.1284:3686.1842.70
Charlie CoyleCBJC47.2%0.030.501.201.704.803.802.000.700.100.290.390.040.070.1020.8519.4851.7%0.992.600.1252:4867.7914.90
Kiefer SherwoodSJSRW55.2%0.030.600.601.205.7013.701.101.800.090.090.180.020.050.090.750.92-0.792.43-0.5947:1859.4411.70
Alex KillornANARW5.1%0.030.400.400.804.001.800.700.900.040.040.080.010.050.060.911.28-0.501.69-0.0934:0044.508.50
Connor McMichaelSTLC34.3%0.030.601.001.605.701.401.301.000.110.210.320.030.060.097.449.5643.8%0.842.300.1550:2469.9415.80
Cody GlassNJDC4.1%0.030.500.601.005.702.902.001.400.020.030.060.020.050.0626.1321.7354.6%0.772.51-0.0953:4277.3211.40
Mikael GranlundANAC63.7%0.030.501.101.604.201.101.600.500.150.380.530.030.060.0712.0712.6848.8%0.611.93-0.0938:3646.6813.60
Joel KivirantaNew team · 2 GP with DALDALLW0.1%0.030.400.300.702.904.201.100.600.000.000.010.010.050.060.440.52-0.551.780.0634:3650.868.40
Pavel ZachaBOSC69.1%0.030.801.001.804.402.201.000.900.180.250.430.020.050.0819.3717.9052.0%0.932.570.5754:2463.0815.40
Michael RasmussenDETLW0.1%0.030.300.400.703.704.602.700.800.040.060.100.020.050.044.975.2648.6%0.651.970.0540:5456.818.30
Eeli TolvanenNYRLW40.5%0.030.700.601.404.506.303.200.900.110.110.210.010.040.060.110.13-0.641.991.0244:0061.9315.50
Zachary BensonBUFLW53.2%0.030.601.902.507.603.501.802.400.170.630.800.040.070.110.851.06-1.033.180.2866:4883.7621.90
Anton FrondellCHIC68.3%0.030.801.502.306.802.302.000.600.190.380.570.020.050.0816.0019.1245.6%0.822.30-0.6249:0059.1619.30
Evan RodriguesNJDC7.5%0.030.501.001.508.904.901.302.000.090.210.300.030.060.0618.9820.8247.7%1.143.05-0.1063:3080.4515.90
Ridly GreigOTTC14.8%0.030.601.001.506.505.202.702.900.090.160.240.030.060.1512.7012.7150.0%1.022.910.0767:4898.5316.40
Jake GuentzelTBLLW99.5%0.031.201.702.908.401.701.401.300.440.711.150.020.050.127.618.1248.4%0.922.920.3260:4266.3925.80
Tage ThompsonBUFC99.5%0.032.301.704.0014.503.402.201.700.690.581.270.010.040.4219.9623.6045.8%1.313.840.3277:2494.1739.20

† 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

Start from total goals. Each player's goals come from Edgehalla's goal model this week (LineupExperts for longer ranges); assists and ice time from LineupExperts. Our model splits those goals and assists between even strength, the power play and the penalty kill in proportion to the minutes the player has been getting in each situation (recent games weighted most) times his shrunk scoring rate per 60 minutes there.

Heavy shrinkage. One early shorthanded goal says almost nothing about a player's true rate, so shorthanded scoring rates are pulled strongly toward the league average for the position. In our backtest, 25 skaters who scored a shorthanded goal in their first 10 games scored 26 more the rest of the season; the model projected 26.4, while their early pace implied 129.

Team check. Each team's projected shorthanded goals are scaled to the league's shorthanded share of that team's projected goals.

Variance warning

even the leaders project for one or two a season. Single-game values are tiny.

💡
Pro Tip: Use this page to find regular penalty killers, not to chase a shorthanded goal this week.

Shorthanded points

Goals and assists while shorthanded in one ranking.

Shorthanded Points

Penalty-kill deployment

Penalty-kill minutes drive this ranking. Check current deployment.

Line Combinations

Shorthanded assists

The assist side of shorthanded scoring.

Shorthanded Assists

Related Projections

Frequently Asked Questions

Projected goals are split by strength using the player's recent penalty-kill minutes times a heavily shrunk shorthanded scoring rate. Each team's total is then scaled to the league shorthanded share of its projected goals.
Shorthanded goals are rare. Even top penalty killers average one or two a season, so a single game projects for a few hundredths of a goal.
Less reliable than most categories. In our backtest the model beat a naive per-game rate by a wide margin and got the league total right, but player-level results are noisy because the events are so rare.
No. The model has no opponent power-play adjustment; penalty-kill ice time is the main driver.

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 this week player projections