Edgehalla

NHL Projected Shorthanded Assists Next Week

Shorthanded assists are even rarer than shorthanded goals. These projections estimate the share of each player's projected assists that come on the penalty kill, from his recent penalty-kill minutes and a rate that is shrunk almost all the way to the league average. The ranking mostly tells you who kills penalties (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 Assists(Oct 19-25 (Week 4))

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PlayerTeamPosRost%SHA† ↓GAPTSSOGHITBLKPIMPPG†PPA†PPP†SHG†SHP†GWG†FOW†FOL†FO%†TK†GV†+/-†TOISFT†FPTS
Sebastian AhoCARC99.7%0.071.302.203.507.902.101.102.000.450.831.280.060.130.2224.1222.1152.2%0.903.27-0.0360:1269.0529.00
Chris TanevTORD5.1%0.060.100.700.802.301.107.501.000.000.010.010.010.070.020.000.00-1.244.050.2378:18113.3315.20
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
Ty DellandreaSJSC0.1%0.060.200.500.704.009.302.602.300.000.010.010.050.100.0218.6918.3150.5%0.822.41-0.9750:4866.056.40
Teddy BluegerTORC3.2%0.050.300.701.003.905.101.801.600.010.020.030.060.110.0620.2620.9949.1%0.932.760.1655:3675.339.30
Sean WalkerCARD63.0%0.050.201.401.605.004.104.401.900.030.250.290.000.060.030.000.00-1.083.20-0.0460:1874.0216.20
Jake McCabeTORD27.4%0.050.100.801.003.606.307.502.700.010.060.060.010.060.020.000.00-1.194.670.2586:06114.0315.80
Tim StutzleOTTC99.7%0.051.402.103.406.705.701.901.300.440.801.240.090.140.3213.3512.0252.6%1.033.260.0962:1878.7127.60
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
Blake LizottePITC0.2%0.050.300.801.103.102.602.001.500.010.020.030.040.080.0313.0014.0848.0%0.592.000.2739:3055.589.80
Ryan O'ReillyNSHC81.0%0.050.801.402.205.300.702.400.900.230.460.690.060.100.1227.3622.7954.6%1.082.64-0.4460:1871.3917.50
Connor McDavidEDMC99.7%0.051.503.605.2010.402.101.201.400.411.481.890.060.100.2617.4117.8149.4%1.123.73-0.6369:0671.7840.90
Brandon HagelTBLLW99.3%0.041.401.602.908.001.702.002.100.410.540.940.080.120.130.951.17-1.172.98-0.0762:0070.8826.60
Cale MakarCOLD100.0%0.041.303.204.5011.101.706.001.000.501.411.910.010.060.230.000.00-1.595.061.6199:54103.4742.10
Miro HeiskanenDALD98.1%0.040.301.802.106.201.104.501.300.090.660.750.010.050.030.000.00-1.153.93-0.2476:4876.3121.30
Brock NelsonCOLC86.6%0.041.301.402.708.801.702.901.200.280.340.620.070.120.2334.1433.8850.2%1.173.501.2975:4894.1326.40
Charlie McAvoyBOSD95.5%0.040.401.702.105.003.705.302.500.130.620.750.010.050.050.000.00-1.083.750.7672:4881.5020.70
Jacob TroubaSJSD70.1%0.040.301.001.307.107.307.602.300.030.100.120.010.050.040.000.00-1.124.55-1.6287:06105.3719.00
Noah WarrenANAD11.3%0.040.100.700.903.103.303.901.300.000.010.010.010.050.010.000.00-0.712.73-0.0753:5478.4511.30
Devon ToewsCOLD72.7%0.040.401.702.106.601.904.601.400.090.430.520.010.050.070.000.00-1.724.801.6793:54111.6324.10
Nick PaulTORC8.1%0.040.801.001.805.206.502.401.600.120.160.280.080.120.1520.6421.3849.1%0.942.790.1761:4879.1414.70
Pavel BuchnevichSTLRW31.5%0.040.701.101.705.101.301.500.800.130.260.390.050.090.103.404.80-0.882.72-0.3755:2470.0315.70
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
Jackson LaCombeANAD97.5%0.040.502.302.806.803.406.201.200.180.921.100.010.050.070.000.01-1.795.04-0.1095:48108.7326.00
Erik HaulaLAKC11.8%0.040.400.701.205.403.701.701.600.060.110.170.030.070.0617.9118.7648.8%0.752.410.3747:3067.4511.60
Simon HolmstromNYIRW14.8%0.040.700.801.503.900.701.900.500.100.130.230.050.090.080.210.26-0.832.380.2449:4265.4913.00
Jean-Gabriel PageauNYIC10.7%0.040.400.801.203.505.002.300.300.020.050.070.030.070.0425.9319.2857.4%0.802.270.2548:4268.2910.90
Shane PintoOTTC43.7%0.040.801.302.105.804.302.101.800.190.370.560.050.090.1818.0017.4050.8%0.972.620.0856:3077.6419.00
Pavel MintyukovANAD27.5%0.040.301.001.304.402.705.901.100.040.130.170.010.050.040.000.00-1.013.75-0.0973:1898.4215.40
Mikhail SergachevUTAD98.3%0.040.401.902.406.202.204.801.900.160.851.010.010.050.040.000.00-1.173.88-0.1672:1287.9923.30
Mike MathesonMTLD78.8%0.040.200.901.104.702.205.201.500.010.040.050.010.050.040.000.00-1.073.820.8073:5480.4413.80
Jared SpurgeonMIND52.4%0.040.301.201.504.803.506.200.800.060.250.300.010.050.050.000.00-1.084.09-0.1682:12100.8319.00
Kevin StenlundUTAC0.1%0.040.200.500.702.602.202.601.300.010.040.050.020.060.0221.5718.5553.8%0.672.18-0.1042:1261.088.00
Filip HronekVAND93.2%0.040.201.601.804.604.704.901.100.050.540.600.000.040.030.000.00-1.093.83-0.7173:0683.5417.20
Robert ThomasSTLC85.3%0.040.701.902.605.300.602.001.200.130.420.560.030.070.1027.9825.4352.4%0.983.30-0.3958:4273.3321.10
Auston MatthewsTORC99.1%0.042.703.005.6015.302.804.400.800.740.901.640.080.120.5037.8428.3157.2%1.493.850.2184:3093.1450.70
Anthony CirelliTBLC46.0%0.040.700.901.604.601.702.301.600.120.160.270.050.090.0623.6724.8548.8%0.872.66-0.0754:1270.4316.40
Andrew CoppDETC8.3%0.040.301.001.304.601.601.900.800.050.220.270.020.060.0420.9818.4153.3%0.732.56-0.2648:5464.9312.00
Philip BrobergSTLD59.7%0.040.201.201.404.201.604.000.800.020.130.150.010.040.030.000.00-1.033.53-0.4865:2476.3015.90
Travis SanheimPHID65.3%0.040.300.901.203.902.405.701.400.030.080.110.010.050.030.000.00-1.094.05-0.4874:3689.7112.90
Ryan WintertonSEARW5.7%0.040.300.901.203.903.002.000.700.010.020.030.030.060.060.260.26-0.591.80-0.0536:5451.4811.00
Alexander WennbergSJSC20.0%0.040.501.401.804.601.303.800.600.120.340.450.030.060.0630.8433.8247.7%1.403.41-1.2777:4888.7615.00
Tim WasheANAC8.5%0.040.300.400.703.409.602.901.400.030.040.070.060.100.0425.2022.0053.4%0.792.32-0.0651:0073.628.10
Bo HorvatNYIC92.4%0.041.401.202.609.203.001.501.200.430.370.790.060.090.1528.4822.5155.9%0.923.120.2761:0669.8525.10
Chandler StephensonSEAC24.0%0.040.401.702.102.900.701.701.300.080.470.550.020.050.0829.1326.0052.8%1.242.65-0.0756:4272.5814.40
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
Collin GrafSJSLW24.5%0.040.700.801.505.604.302.100.700.020.030.050.070.100.081.191.62-1.062.86-1.2164:1878.5914.50
Jake EvansMTLC4.9%0.040.400.600.903.203.802.000.800.000.010.010.050.080.0721.2518.1953.9%0.792.150.5046:0659.469.10
Connor DewarPITLW3.4%0.040.400.500.804.104.802.001.000.010.010.020.050.090.052.122.29-0.611.800.2739:1853.5810.40
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
Logan O'ConnorCOLRW0.2%0.030.500.501.004.503.402.201.400.000.000.000.050.080.091.121.35-0.872.591.0453:4272.9910.90
Elias PetterssonVANC93.4%0.030.501.802.305.904.503.600.500.130.560.680.020.050.0725.6828.5947.3%1.042.75-0.5357:1268.7320.30
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
Tye KartyeNYRLW8.1%0.030.500.801.303.708.401.501.700.010.010.020.050.080.040.320.40-0.551.600.6036:1852.1311.10
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
Matthew BoldyMINRW100.0%0.031.701.803.5013.803.703.201.900.460.561.030.070.110.313.033.70-1.604.13-0.1484:0082.9337.30
Vladislav GavrikovNYRD57.5%0.030.301.101.304.402.204.300.900.020.090.110.010.040.020.000.00-0.833.491.1067:4278.9715.90
Josh MansonCOLD36.0%0.030.301.101.405.908.404.903.200.010.030.040.010.040.050.000.00-1.013.921.3771:4291.9819.30
Nico HischierNJDC95.3%0.031.201.302.607.801.802.300.700.370.400.770.050.090.1135.9329.5354.9%0.952.77-0.1561:2470.2623.80
Brock FaberMIND88.3%0.030.501.401.908.201.906.401.600.060.200.260.010.040.090.000.00-1.565.23-0.20101:54108.9824.50
Esa LindellDALD31.8%0.030.100.700.903.401.405.900.700.010.060.060.000.040.010.000.00-0.973.64-0.2468:1272.9914.80
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
Phillip DanaultMTLC4.9%0.030.300.701.003.902.501.500.700.010.030.040.030.060.0522.5619.4853.7%0.712.330.5449:5464.6910.20
Cameron YorkPHID18.0%0.030.200.901.103.501.705.701.100.040.180.220.010.040.020.000.00-0.903.43-0.4065:3685.0213.00
Nico SturmMINC0.1%0.030.400.300.703.304.901.601.000.010.010.010.060.090.0715.8712.4256.1%0.671.94-0.0841:5456.947.50
Ben MeyersSEAC5.8%0.030.300.701.102.903.501.100.900.010.020.030.050.080.068.468.1550.9%0.541.63-0.0534:4852.107.80
Jaccob SlavinCARD21.5%0.030.100.800.904.200.804.800.200.000.040.040.000.030.020.000.00-1.113.12-0.0465:1275.6614.30
Alex TuchWSHRW93.8%0.030.800.801.604.702.002.301.200.130.140.270.060.090.121.541.86-0.811.840.8638:3049.1616.00
Olli MaattaMIND0.2%0.030.100.901.003.101.105.300.700.010.060.060.000.030.020.000.00-1.084.14-0.1576:1888.9712.70
Mika ZibanejadNYRC98.2%0.030.801.802.507.703.802.100.600.230.580.810.040.070.0621.6418.9753.3%1.043.280.8460:4873.1822.10
Aliaksei ProtasWSHLW52.3%0.030.700.801.503.800.801.100.500.020.030.050.050.080.100.760.86-0.551.740.8334:1842.6012.60
Nicolas RoyCOLC12.1%0.030.701.001.605.103.702.001.500.040.060.100.040.070.1319.9018.0552.4%0.982.991.0656:4276.2314.20
Artturi LehkonenCOLLW75.9%0.031.401.202.607.902.602.200.900.260.220.480.070.100.250.440.56-1.183.691.3477:3695.6226.50
Mark StoneVGKRW94.7%0.031.002.002.905.902.002.300.800.320.851.170.040.070.210.290.36-0.952.84-0.0358:0664.1425.70
Brent BurnsCOLD46.7%0.030.301.101.507.300.904.001.300.010.050.070.010.040.050.000.00-1.104.241.5179:18100.4019.00
Tom WilsonWSHRW94.2%0.030.800.901.704.006.001.802.700.170.200.380.050.080.120.370.45-0.571.980.8238:2446.1715.30
J.T. MillerNYRC90.1%0.030.701.802.505.805.601.501.800.180.540.720.030.060.0524.4417.5258.2%0.883.080.8057:3074.6520.00
Adam PelechNYID3.3%0.030.100.700.804.102.504.501.800.010.050.050.000.030.010.000.00-0.893.270.3363:0684.0711.60
Bryan RustPITRW82.9%0.031.101.102.207.301.602.801.000.220.260.470.060.090.130.260.33-0.882.880.3659:3070.6720.60
Anton LundellFLAC42.0%0.030.600.901.506.803.801.401.200.170.290.460.040.070.1123.4021.9151.6%0.752.75-0.0353:0667.5915.50
Marcus PetterssonNYRD5.7%0.030.100.700.802.503.704.601.400.000.020.020.000.030.010.000.00-1.003.251.0563:4874.7510.70
Aaron EkbladFLAD43.3%0.030.101.001.104.504.003.202.300.030.350.390.000.030.020.010.02-0.943.48-0.0568:1283.9312.60
Noah DobsonMTLD93.8%0.030.401.201.606.502.905.301.300.070.220.290.010.040.070.000.00-1.123.670.7068:1281.6717.70
Dougie HamiltonNJDD83.1%0.030.401.101.508.803.403.601.600.100.300.410.010.040.040.000.00-0.863.51-0.1763:1274.3018.90
Jack DruryNSHC4.8%0.030.300.600.803.801.902.201.200.010.020.030.040.070.0418.7215.5154.7%0.731.85-0.3641:3055.7510.30
K'Andre MillerCARD60.3%0.030.300.901.305.004.003.101.500.060.190.250.010.030.050.010.01-1.153.46-0.0466:5478.7413.40
Mikey AndersonLAKD7.4%0.030.100.600.702.704.204.900.900.000.020.020.000.030.020.000.00-0.793.150.5463:2474.1110.70
Lars EllerFLAC4.1%0.030.200.700.902.702.001.300.700.030.120.150.020.050.0415.1814.3751.4%0.601.99-0.0338:4255.318.80
Hampus LindholmBOSD19.3%0.030.201.001.204.100.803.601.400.040.200.230.010.030.020.000.00-1.053.410.7264:0077.8814.10
Seth JonesFLAD75.6%0.030.401.702.106.803.303.000.900.170.851.030.010.030.080.000.00-1.123.83-0.0574:2481.8319.20
Ryan McDonaghTBLD6.5%0.030.100.700.802.100.904.500.800.000.020.020.000.030.010.000.00-0.923.11-0.0958:2473.6012.10
Logan StanleyNYID26.8%0.030.100.800.903.705.004.104.500.000.040.040.000.030.010.000.00-0.642.550.2649:0060.7212.40
Moritz SeiderDETD98.9%0.030.301.601.806.505.906.101.600.100.660.770.010.030.040.000.00-1.093.87-0.3976:1285.7021.60
Colton ParaykoSTLD36.3%0.030.200.700.804.403.706.900.800.010.020.030.010.030.030.000.00-1.033.52-0.5168:1885.3515.10
Zachary L'HeureuxNew team · 4 GP with COLCOLLW11.2%0.030.600.501.105.2010.202.103.300.020.020.040.040.070.110.310.37-0.772.380.9349:0667.3912.10
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
Mikael BacklundCGYC12.0%0.030.300.500.805.100.800.800.500.010.030.040.030.060.0518.0718.4749.5%0.591.91-0.7436:4248.509.50
Connor McMichaelSTLC34.3%0.030.701.101.805.901.601.601.200.130.230.360.040.070.107.449.5643.8%0.842.30-0.3450:2469.9417.00
Michael AmadioOTTRW6.0%0.030.500.701.203.603.402.000.800.020.030.050.030.050.110.550.66-0.922.220.0846:3066.9311.20
Sam SteelDALC5.8%0.030.300.701.104.002.701.200.900.010.030.030.030.050.035.635.4251.0%0.682.18-0.1645:2457.059.90

† 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 assists. 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.

Nearly pooled rates. Individual shorthanded assist rates barely repeat from season to season, so the model leans on the league average for the position, scaled by penalty-kill minutes.

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

Variance warning

totals are small and noisy. In our backtest the top predicted deciles were off by more than 10% in both test seasons, so treat this page as a deployment guide.

💡
Pro Tip: Shorthanded assists are bonus production. Do not pick a player for them alone.

Shorthanded points

Goals and assists while shorthanded together.

Shorthanded Points

Shorthanded goals

The goal side of shorthanded scoring.

Shorthanded Goals

Penalty-kill deployment

Check who is killing penalties now.

Line Combinations

Related Projections

Frequently Asked Questions

LineupExperts' projected assists are split by strength using recent penalty-kill minutes times a shorthanded assist rate shrunk heavily toward the league average, then each team's total is scaled to the league shorthanded share of its projected assists.
Players with the most penalty-kill time, forwards and defensemen alike. The model has little player-specific signal beyond ice time.
Rarely. They are too infrequent and too noisy to chase; they reward owning regular penalty killers.
It beats a naive per-game rate comfortably, but its calibration at the top failed our ±10% bar in both backtest seasons. It is one of our least certain categories.

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