Edgehalla

NHL Projected Shorthanded Goals Next 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 19-25 (Week 4)). (Oct 19-25 (Week 4))

Wednesday, October 14, 2026
Updated (hourly)
2 games • 700 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 19-25 (Week 4))

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PlayerTeamPosRost%SHG† ↓GAPTSSOGHITBLKPIMPPG†PPA†PPP†SHA†SHP†GWG†FOW†FOL†FO%†TK†GV†+/-†TOISFT†FPTS
Tim StutzleOTTC99.7%0.091.402.103.406.705.701.901.300.440.801.240.050.140.3213.3512.0252.6%1.033.260.0962:1878.7127.60
Auston MatthewsTORC99.1%0.082.703.005.6015.302.804.400.800.740.901.640.040.120.5037.8428.3157.2%1.493.850.2184:3093.1450.70
Brandon HagelTBLLW99.3%0.081.401.602.908.001.702.002.100.410.540.940.040.120.130.951.17-1.172.98-0.0762:0070.8826.60
Nick PaulTORC8.1%0.080.801.001.805.206.502.401.600.120.160.280.040.120.1520.6421.3849.1%0.942.790.1761:4879.1414.70
Brock NelsonCOLC86.6%0.071.301.402.708.801.702.901.200.280.340.620.040.120.2334.1433.8850.2%1.173.501.2975:4894.1326.40
Matthew BoldyMINRW100.0%0.071.701.803.5013.803.703.201.900.460.561.030.030.110.313.033.70-1.604.13-0.1484:0082.9337.30
Collin GrafSJSLW24.5%0.070.700.801.505.604.302.100.700.020.030.050.040.100.081.191.62-1.062.86-1.2164:1878.5914.50
Frederick GaudreauSEAC7.0%0.070.700.501.203.401.402.600.300.020.020.040.020.090.1415.6217.7046.9%0.782.14-0.0647:1263.6612.30
Mark JankowskiCARC9.0%0.071.000.401.403.501.901.400.500.130.060.190.010.080.1716.1116.6749.1%0.541.91-0.0237:3052.4012.80
Pius SuterSTLC4.1%0.070.600.601.204.202.101.200.600.040.040.080.020.090.0813.7414.9048.0%0.712.30-0.3548:3065.3812.40
Artturi LehkonenCOLLW75.9%0.071.401.202.607.902.602.200.900.260.220.480.030.100.250.440.56-1.183.691.3477:3695.6226.50
Sebastian AhoCARC99.7%0.061.302.203.507.902.101.102.000.450.831.280.070.130.2224.1222.1152.2%0.903.27-0.0360:1269.0529.00
Tim WasheANAC8.5%0.060.300.400.703.409.602.901.400.030.040.070.040.100.0425.2022.0053.4%0.792.32-0.0651:0073.628.10
Fraser MintenBOSC45.7%0.061.000.901.805.704.401.500.700.130.120.250.030.090.1214.3815.5248.1%0.812.090.5145:5458.0518.10
Bryan RustPITRW82.9%0.061.101.102.207.301.602.801.000.220.260.470.030.090.130.260.33-0.882.880.3659:3070.6720.60
Nico SturmMINC0.1%0.060.400.300.703.304.901.601.000.010.010.010.030.090.0715.8712.4256.1%0.671.94-0.0841:5456.947.50
Connor McDavidEDMC99.7%0.061.503.605.2010.402.101.201.400.411.481.890.050.100.2617.4117.8149.4%1.123.73-0.6369:0671.7840.90
Colton SissonsTORC3.3%0.060.400.300.604.407.502.300.900.020.020.040.020.080.0720.3716.7154.9%0.922.650.1656:1278.879.20
Alex TuchWSHRW93.8%0.060.800.801.604.702.002.301.200.130.140.270.030.090.121.541.86-0.811.840.8638:3049.1616.00
Bo HorvatNYIC92.4%0.061.401.202.609.203.001.501.200.430.370.790.040.090.1528.4822.5155.9%0.923.120.2761:0669.8525.10
Teddy BluegerTORC3.2%0.060.300.701.003.905.101.801.600.010.020.030.050.110.0620.2620.9949.1%0.932.760.1655:3675.339.30
Alex KillornANARW5.1%0.060.700.701.406.903.001.301.700.070.080.140.020.080.091.832.55-1.003.37-0.0868:0088.9915.00
Blake ColemanMINRW41.3%0.060.900.901.909.108.902.603.300.130.140.260.030.080.161.111.39-1.143.74-0.1368:3689.1020.60
Ryan O'ReillyNSHC81.0%0.060.801.402.205.300.702.400.900.230.460.690.050.100.1227.3622.7954.6%1.082.64-0.4460:1871.3917.50
Jack EichelVGKC99.9%0.061.402.403.709.601.002.000.600.411.061.470.060.110.3022.7825.3447.3%1.113.56-0.0463:4866.9133.00
Sam ReinhartFLARW97.3%0.061.601.002.608.303.201.600.500.640.411.050.010.070.305.947.1245.5%0.912.90-0.0463:0070.6824.80
Will CuylleNYRLW64.5%0.060.900.801.706.7012.001.701.700.140.160.300.020.080.072.012.20-0.622.230.7147:1264.8017.60
Kyle ConnorWPGLW98.9%0.051.601.703.309.200.901.100.500.400.450.850.030.080.550.050.06-0.982.950.1863:0667.1828.40
Joel ArmiaLAKRW3.3%0.050.500.400.903.803.201.600.800.040.040.080.020.070.081.391.82-0.752.070.3442:0657.629.60
Nico HischierNJDC95.3%0.051.201.302.607.801.802.300.700.370.400.770.030.090.1135.9329.5354.9%0.952.77-0.1561:2470.2623.80
Connor DewarPITLW3.4%0.050.400.500.804.104.802.001.000.010.010.020.040.090.052.122.29-0.611.800.2739:1853.5810.40
Christian DvorakPHIC13.4%0.050.800.801.604.402.302.000.800.120.130.250.030.080.0821.9119.0253.5%0.832.31-0.3050:3666.2113.40
Mikael GranlundANAC63.7%0.050.802.002.907.201.902.700.900.240.700.940.050.100.1024.1725.3948.8%1.213.87-0.0877:1893.4724.20
Anthony CirelliTBLC46.0%0.050.700.901.604.601.702.301.600.120.160.270.040.090.0623.6724.8548.8%0.872.66-0.0754:1270.4316.40
Lawson CrouseUTARW32.8%0.050.600.501.205.408.401.901.700.050.050.100.020.070.071.001.28-0.722.13-0.1146:0665.8214.20
Aliaksei ProtasWSHLW52.3%0.050.700.801.503.800.801.100.500.020.030.050.030.080.100.760.86-0.551.740.8334:1842.6012.60
Tom WilsonWSHRW94.2%0.050.800.901.704.006.001.802.700.170.200.380.030.080.120.370.45-0.571.980.8238:2446.1715.30
Josh AndersonMTLRW11.1%0.050.600.401.004.005.701.203.100.010.010.020.020.070.110.660.69-0.641.990.4642:4256.9610.10
Logan O'ConnorCOLRW0.2%0.050.500.501.004.503.402.201.400.000.000.000.030.080.091.121.35-0.872.591.0453:4272.9910.90
Tyson FoersterPHILW35.9%0.050.900.601.506.203.902.201.600.210.150.360.010.060.100.060.07-0.762.26-0.2951:3667.2314.20
Kiefer SherwoodSJSRW55.2%0.050.800.701.607.2018.901.402.300.120.110.230.020.070.101.001.23-1.053.24-1.1063:0079.1715.00
Jake EvansMTLC4.9%0.050.400.600.903.203.802.000.800.000.010.010.040.080.0721.2518.1953.9%0.792.150.5046:0659.469.10
Tye KartyeNYRLW8.1%0.050.500.801.303.708.401.501.700.010.010.020.030.080.040.320.40-0.551.600.6036:1852.1311.10
Shane PintoOTTC43.7%0.050.801.302.105.804.302.101.800.190.370.560.040.090.1818.0017.4050.8%0.972.620.0856:3077.6419.00
Arttu HyryDALC4.0%0.050.200.200.403.905.101.200.500.000.000.000.020.070.0214.7811.7655.7%0.541.68-0.1335:4847.906.40
Simon HolmstromNYIRW14.8%0.050.700.801.503.900.701.900.500.100.130.230.040.090.080.210.26-0.832.380.2449:4265.4913.00
Trevor MooreLAKLW8.8%0.050.600.701.306.802.401.600.400.030.050.080.030.070.100.290.37-0.812.450.4250:5468.1314.40
Logan StankovenCARC80.3%0.051.000.801.806.301.501.200.600.190.160.340.020.060.1713.1916.0445.1%0.772.22-0.0348:0057.6018.50
Dylan LarkinDETC95.1%0.051.101.302.509.501.701.201.700.320.410.720.020.070.1331.5928.2752.8%0.943.24-0.3060:3672.0022.90
Pavel BuchnevichSTLRW31.5%0.050.701.101.705.101.301.500.800.130.260.390.040.090.103.404.80-0.882.72-0.3755:2470.0315.70
Ben MeyersSEAC5.8%0.050.300.701.102.903.501.100.900.010.020.030.030.080.068.468.1550.9%0.541.63-0.0534:4852.107.80
Alex NewhookMTLLW24.6%0.050.700.801.504.403.401.300.800.100.130.230.030.070.1211.5011.3650.3%0.682.180.4746:1259.1712.10
Ty DellandreaSJSC0.1%0.050.200.500.704.009.302.602.300.000.010.010.060.100.0218.6918.3150.5%0.822.41-0.9750:4866.056.40
Parker KellyCOLLW17.7%0.040.500.901.504.608.303.101.300.010.020.030.040.090.096.127.6344.5%0.842.650.9750:4272.8914.90
Nick SchmaltzUTARW97.1%0.041.201.302.608.001.301.700.800.440.430.870.020.070.1313.6415.4147.0%1.122.83-0.1257:2470.6722.80
Mark StoneVGKRW94.7%0.041.002.002.905.902.002.300.800.320.851.170.030.070.210.290.36-0.952.84-0.0358:0664.1425.70
Connor BrownNJDRW5.8%0.040.601.001.604.901.001.500.700.100.180.280.040.080.060.490.61-0.752.22-0.1246:0053.9614.60
Mika ZibanejadNYRC98.2%0.040.801.802.507.703.802.100.600.230.580.810.030.070.0621.6418.9753.3%1.043.280.8460:4873.1822.10
Emil HeinemanNYILW29.3%0.040.700.501.205.708.401.700.800.080.060.130.010.060.080.330.42-0.651.940.2143:0054.9812.90
Anton LundellFLAC42.0%0.040.600.901.506.803.801.401.200.170.290.460.030.070.1123.4021.9151.6%0.752.75-0.0353:0667.5915.50
Oliver KapanenMTLC26.8%0.040.700.701.405.001.202.000.700.090.090.180.020.070.1210.3811.6847.1%0.621.830.4139:5451.0013.80
Cole KoepkeWPGLW0.0%0.040.300.300.603.206.801.100.600.000.010.010.030.070.100.050.06-0.521.600.1132:3046.266.90
Alex FormentonEDMLW8.9%0.040.500.400.905.804.401.501.800.020.020.040.030.070.090.270.33-0.662.02-0.4844:3668.5811.50
Marat KhusnutdinovBOSLW10.5%0.040.500.601.103.101.901.400.500.030.040.070.020.060.063.303.58-0.641.990.4740:2452.4911.00
Dawson MercerNJDRW21.7%0.040.600.801.406.001.101.700.900.050.080.130.030.070.063.924.94-0.892.49-0.1553:0064.1113.70
Brett HowdenVGKLW14.6%0.040.800.801.504.104.101.401.700.020.030.050.020.060.1710.059.7150.9%0.662.22-0.0345:1859.1714.20
Alexander KerfootNSHLW3.2%0.040.400.701.102.902.302.200.800.050.100.150.030.070.068.077.8050.8%0.782.21-0.3744:3663.359.40
Zachary L'HeureuxNew team · 4 GP with COLCOLLW11.2%0.040.600.501.105.2010.202.103.300.020.020.040.030.070.110.310.37-0.772.380.9349:0667.3912.10
Connor McMichaelSTLC34.3%0.040.701.101.805.901.601.601.200.130.230.360.030.070.107.449.5643.8%0.842.30-0.3450:2469.9417.00
William KarlssonVGKC19.3%0.040.700.801.505.500.802.200.400.090.120.210.020.060.1524.0117.2858.1%0.812.28-0.0351:2461.5616.00
Nicolas RoyCOLC12.1%0.040.701.001.605.103.702.001.500.040.060.100.030.070.1319.9018.0552.4%0.982.991.0656:4276.2314.20
Jack DruryNSHC4.8%0.040.300.600.803.801.902.201.200.010.020.030.030.070.0418.7215.5154.7%0.731.85-0.3641:3055.7510.30
Benjamin KindelPITRW49.9%0.040.700.701.406.001.102.100.600.220.230.450.020.060.0811.4913.4546.1%0.792.500.2546:0655.1914.30
Vincent TrocheckUTAC84.8%0.040.800.901.706.108.902.202.200.150.200.350.020.060.0927.6921.0856.8%0.923.05-0.1459:5475.0815.80
Ilya MikheyevTBLRW7.5%0.040.500.601.103.901.400.900.500.010.010.010.030.060.050.140.18-0.772.37-0.0748:0660.949.90
Blake LizottePITC0.2%0.040.300.801.103.102.602.001.500.010.020.030.050.080.0313.0014.0848.0%0.592.000.2739:3055.589.80
Leo CarlssonANAC94.9%0.041.702.404.109.900.801.901.100.510.991.500.020.050.2221.9726.5545.3%1.163.52-0.0772:1284.0434.30
Frank NazarCHIC49.4%0.030.600.801.404.301.101.400.800.130.200.320.020.060.0811.2512.3947.6%0.601.90-0.1935:0042.2811.60
Robert ThomasSTLC85.3%0.030.701.902.605.300.602.001.200.130.420.560.040.070.1027.9825.4352.4%0.983.30-0.3958:4273.3321.10
Noah CatesPHIC12.5%0.030.500.601.104.103.601.700.900.050.070.120.020.050.0516.4918.9746.5%0.772.00-0.2845:1864.1110.90
Morgan BarronWPGC4.8%0.030.300.400.803.505.402.000.900.010.010.020.020.050.109.189.6648.7%0.571.680.1236:2451.779.40
Teuvo TeravainenCHILW11.0%0.030.400.701.102.400.501.000.200.050.110.160.030.060.061.381.57-0.521.72-0.2034:0043.418.10
Joel Eriksson EkMINC77.8%0.031.001.302.3011.706.102.201.400.260.390.650.020.060.1838.8539.5149.6%1.243.48-0.1378:4282.0128.70
Brandon DuhaimeTORLW0.2%0.030.200.200.403.308.602.903.100.010.010.010.010.050.041.011.28-0.702.150.1447:0070.487.70
Scott LaughtonLAKC4.8%0.030.400.500.904.405.601.901.300.010.020.030.020.060.0618.3614.4655.9%0.732.240.3643:3063.029.00
Boone JennerWSHC23.1%0.030.500.601.104.204.402.101.100.020.030.050.020.060.078.487.0654.6%0.511.640.8033:0642.4611.80
Noel AcciariPHIRW3.3%0.030.300.200.502.605.302.901.000.000.000.010.010.040.0314.1012.6052.8%0.631.93-0.2741:1855.706.40
Jean-Gabriel PageauNYIC10.7%0.030.400.801.203.505.002.300.300.020.050.070.040.070.0425.9319.2857.4%0.802.270.2548:4268.2910.90
Justin DanforthBUFC0.0%0.030.300.300.602.803.101.300.600.000.000.010.020.050.079.9310.6248.3%0.461.340.1728:0644.016.30
Eric RobinsonCARLW3.2%0.030.600.501.104.004.500.400.300.030.030.070.020.050.100.300.39-0.551.76-0.0236:1247.6110.60
Michael McCarronMINC10.7%0.030.300.600.905.2010.103.903.600.000.010.010.030.070.0526.4324.3752.0%0.922.61-0.1156:1271.9012.00
Eeli TolvanenNYRLW40.5%0.030.700.601.204.906.203.000.900.110.110.210.010.040.050.110.13-0.641.990.6744:0061.9314.80
Pavel ZachaBOSC69.1%0.030.801.001.804.602.101.101.000.180.250.430.020.050.1019.3717.9052.0%0.932.570.5754:2463.0815.80
Paul CotterVANLW56.1%0.030.600.300.802.808.000.900.900.050.030.080.010.040.093.733.99-0.601.80-0.4039:1250.907.80
Joel FarabeeCGYLW11.4%0.030.400.600.904.101.101.300.900.070.130.190.020.050.060.710.89-0.561.59-0.6032:2441.908.60
Joel KivirantaNew team · 2 GP with DALDALLW0.1%0.030.300.300.603.204.401.100.700.000.000.010.020.050.030.440.52-0.551.78-0.1234:3650.868.60
Mark KastelicBOSC16.1%0.030.300.801.003.207.502.303.500.010.020.020.030.060.0410.177.7856.7%0.671.650.4235:1849.3910.60
Sean CouturierPHIC8.3%0.030.300.701.104.304.001.201.000.020.050.060.030.060.0324.1420.2654.4%0.852.53-0.3351:2468.269.50
Mitch MarnerVGKRW98.9%0.030.902.203.106.101.102.000.700.280.841.120.030.060.193.775.06-1.263.69-0.0462:0667.0124.00
Kasperi KapanenEDMRW16.4%0.030.500.601.104.304.301.100.800.120.160.280.010.040.090.620.72-0.602.05-0.4041:3654.059.80

† 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 next 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 next 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 next week player projections