Edgehalla

NHL Projected Power Play Assists Next Week

Power-play assists pile up for the players who run the man advantage, often a top defenseman or a playmaking forward. These projections estimate how many of each player's projected assists come on the power play, from his recent power-play minutes and his shrunk assist rate there (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.

How the model works

Sorted by Projected Power Play Assists(Oct 19-25 (Week 4))

644 players
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PlayerTeamPosRost%PPA† ↓GAPTSSOGHITBLKPIMPPG†PPP†SHG†SHA†SHP†GWG†FOW†FOL†FO%†TK†GV†+/-†TOISFT†FPTS
Quinn HughesMIND99.9%1.620.803.904.7010.100.603.201.200.271.890.000.000.000.150.000.00-1.635.68-0.19108:3094.9937.30
Connor McDavidEDMC99.7%1.481.503.605.2010.402.101.201.400.411.890.060.050.100.2617.4117.8149.4%1.123.73-0.6369:0671.7840.90
Cale MakarCOLD100.0%1.411.303.204.5011.101.706.001.000.501.910.010.040.060.230.000.00-1.595.061.6199:54103.4742.10
Nathan MacKinnonCOLC99.9%1.302.104.106.2017.202.301.902.000.621.910.020.020.030.3835.6235.3150.2%1.355.391.4089:0095.0452.00
Nikita KucherovTBLRW99.7%1.181.102.703.807.701.001.101.500.371.560.000.000.010.100.080.09-0.993.90-0.0763:0664.6030.20
Matthew TkachukFLARW98.5%1.141.002.303.307.904.200.502.600.381.520.010.010.020.190.270.33-0.922.88-0.0356:0062.8025.60
Jack EichelVGKC99.9%1.061.402.403.709.601.002.000.600.411.470.060.060.110.3022.7825.3447.3%1.113.56-0.0463:4866.9133.00
Evan BouchardEDMD99.9%1.060.902.303.208.601.303.701.000.341.400.010.030.040.160.000.00-1.164.03-0.6973:3679.5031.50
Darren RaddyshTORD97.3%1.010.502.302.808.903.204.602.000.211.220.000.020.020.090.000.00-1.114.450.2184:4290.6325.80
Leo CarlssonANAC94.9%0.991.702.404.109.900.801.901.100.511.500.040.020.050.2221.9726.5545.3%1.163.52-0.0772:1284.0434.30
William NylanderTORRW99.0%0.982.103.205.3011.900.901.100.700.591.570.020.010.030.392.533.24-1.483.840.2079:5489.6239.70
Clayton KellerUTALW99.9%0.950.802.102.907.900.801.101.400.261.210.000.000.010.090.450.56-0.883.15-0.1156:3067.0423.60
Martin NecasCOLRW99.9%0.941.802.804.6010.803.701.101.000.571.510.010.010.020.321.121.15-1.334.371.2480:5484.5037.90
Jackson LaCombeANAD97.5%0.920.502.302.806.803.406.201.200.181.100.010.040.050.070.000.01-1.795.04-0.1095:48108.7326.00
Adam FoxNYRD99.0%0.910.302.302.604.601.504.601.400.101.010.000.020.030.020.000.00-1.173.610.9869:1878.7922.70
Auston MatthewsTORC99.1%0.902.703.005.6015.302.804.400.800.741.640.080.040.120.5037.8428.3157.2%1.493.850.2184:3093.1450.70
Macklin CelebriniSJSC100.0%0.901.902.904.8014.002.302.601.900.441.340.030.020.050.2329.7330.6749.2%1.555.11-1.3682:4884.2640.30
Jack HughesNJDC99.4%0.871.402.503.8011.900.301.600.600.341.210.030.020.050.139.7814.9739.5%1.133.95-0.1663:3064.6834.00
Lane HutsonMTLD99.0%0.860.302.302.705.201.104.101.100.110.970.000.010.010.050.000.00-1.213.740.6772:0673.3922.00
Seth JonesFLAD75.6%0.850.401.702.106.803.303.000.900.171.030.010.030.030.080.000.00-1.123.83-0.0574:2481.8319.20
Mark StoneVGKRW94.7%0.851.002.002.905.902.002.300.800.321.170.040.030.070.210.290.36-0.952.84-0.0358:0664.1425.70
Mikhail SergachevUTAD98.3%0.850.401.902.406.202.204.801.900.161.010.010.040.050.040.000.00-1.173.88-0.1672:1287.9923.30
Leon DraisaitlEDMC99.7%0.851.702.404.109.401.701.001.200.521.370.020.010.030.3027.2121.8555.5%0.993.80-0.5964:4870.0034.80
Mitch MarnerVGKRW98.9%0.840.902.203.106.101.102.000.700.281.120.030.030.060.193.775.06-1.263.69-0.0462:0667.0124.00
Sebastian AhoCARC99.7%0.831.302.203.507.902.101.102.000.451.280.060.070.130.2224.1222.1152.2%0.903.27-0.0360:1269.0529.00
Erik KarlssonPITD95.0%0.800.301.902.206.100.802.600.700.110.910.000.020.030.030.000.00-1.023.910.4171:0073.2018.90
Tim StutzleOTTC99.7%0.801.402.103.406.705.701.901.300.441.240.090.050.140.3213.3512.0252.6%1.033.260.0962:1878.7127.60
Nick SuzukiMTLC99.9%0.771.202.303.607.102.802.000.800.321.090.020.020.040.2126.7626.0250.7%1.023.270.5762:5467.1028.40
Jesper BrattNJDRW95.1%0.760.902.203.006.903.101.100.400.241.000.020.030.050.080.140.17-0.913.14-0.1456:3666.7423.00
Jackson BlakeCARRW80.8%0.760.701.702.406.800.601.101.200.251.010.000.000.010.120.230.29-0.892.58-0.0248:4253.7320.80
Kirill MarchenkoTORRW98.0%0.731.302.203.6010.103.201.702.000.361.090.000.000.000.240.310.37-1.353.850.1975:3682.5131.40
Shayne GostisbehereCARD95.5%0.730.501.401.905.701.302.301.000.240.970.000.000.000.090.000.00-0.892.90-0.0356:0663.2819.50
David PastrnakBOSRW99.8%0.721.302.403.7011.103.500.901.600.351.070.010.000.010.160.240.29-0.983.960.6160:2462.2530.60
Roman JosiNSHD98.3%0.710.501.602.207.401.404.601.200.180.880.010.020.020.070.000.00-1.023.97-0.5775:1880.2721.60
Mikael GranlundANAC63.7%0.700.802.002.907.201.902.700.900.240.940.050.050.100.1024.1725.3948.8%1.213.87-0.0877:1893.4724.20
Mikko RantanenDALRW98.8%0.691.002.103.107.502.201.402.900.260.950.000.000.000.112.702.98-1.053.23-0.1963:0665.2525.50
Lucas RaymondDETRW94.3%0.680.801.802.607.601.500.900.900.230.900.010.010.020.100.050.06-1.012.82-0.2757:0666.9420.90
Kirill KaprizovMINLW98.3%0.672.802.405.2013.602.201.601.100.791.460.010.000.010.510.270.33-1.234.58-0.1588:4884.1746.20
Moritz SeiderDETD98.9%0.660.301.601.806.505.906.101.600.100.770.010.030.030.040.000.00-1.093.87-0.3976:1285.7021.60
Matthew SchaeferNYID99.9%0.660.601.702.308.901.503.801.300.220.870.000.010.010.060.000.00-1.383.930.3374:2480.2724.80
Miro HeiskanenDALD98.1%0.660.301.802.106.201.104.501.300.090.750.010.040.050.030.000.00-1.153.93-0.2476:4876.3121.30
Nikolaj EhlersCARLW89.4%0.650.601.502.107.100.900.700.400.210.850.000.000.000.100.390.48-0.772.78-0.0249:1857.7018.70
Jake GuentzelTBLLW99.5%0.621.101.502.506.801.301.501.300.401.030.030.020.050.107.618.1248.4%0.922.92-0.0760:4266.3922.70
Mathew BarzalNYIRW81.4%0.620.702.102.806.901.302.001.400.170.800.000.000.000.087.9710.2343.8%1.113.130.2761:4864.2823.50
Logan CooleyUTAC94.1%0.620.701.502.205.003.401.701.300.220.840.020.020.040.0815.9318.1046.8%0.942.85-0.1154:3667.1318.60
Charlie McAvoyBOSD95.5%0.620.401.702.105.003.705.302.500.130.750.010.040.050.050.000.00-1.083.750.7672:4881.5020.70
John CarlsonTBLD97.9%0.620.501.502.005.801.304.301.000.210.830.000.010.020.050.010.01-1.093.74-0.0869:3072.7220.30
Andrei SvechnikovCARLW97.7%0.621.501.503.008.105.900.602.200.591.200.000.000.000.260.330.40-0.872.84-0.0251:5460.6626.00
Jason RobertsonDALLW99.1%0.611.301.803.1011.002.301.101.000.370.980.000.000.000.140.100.12-0.953.07-0.1757:1260.2328.90
John TavaresTORC95.0%0.591.501.903.409.503.801.501.500.431.030.000.000.000.2838.1929.1156.8%1.163.760.1872:4284.4726.90
Mika ZibanejadNYRC98.2%0.580.801.802.507.703.802.100.600.230.810.040.030.070.0621.6418.9753.3%1.043.280.8460:4873.1822.10
Artemi PanarinLAKLW97.4%0.581.201.803.008.600.700.400.800.330.900.000.000.010.190.030.03-0.913.210.4361:3066.0222.80
Brandt ClarkeLAKD94.7%0.570.301.501.906.800.905.502.500.100.660.000.000.010.050.000.00-0.873.010.4054:3061.8621.10
Nazem KadriCOLC69.5%0.561.001.702.8011.002.301.801.500.270.830.010.010.010.1823.5526.6546.9%1.223.961.2176:1888.7225.50
Matthew BoldyMINRW100.0%0.561.701.803.5013.803.703.201.900.461.030.070.030.110.313.033.70-1.604.13-0.1484:0082.9337.30
Elias PetterssonVANC93.4%0.560.501.802.305.904.503.600.500.130.680.020.030.050.0725.6828.5947.3%1.042.75-0.5357:1268.7320.30
Josh MorrisseyWPGD98.3%0.550.401.702.105.801.304.301.100.110.660.000.010.020.140.000.00-0.923.800.2172:2482.5120.60
J.T. MillerNYRC90.1%0.540.701.802.505.805.601.501.800.180.720.030.030.060.0524.4417.5258.2%0.883.080.8057:3074.6520.00
Filip HronekVAND93.2%0.540.201.601.804.604.704.901.100.050.600.000.040.040.030.000.00-1.093.83-0.7173:0683.5417.20
Brandon HagelTBLLW99.3%0.541.401.602.908.001.702.002.100.410.940.080.040.120.130.951.17-1.172.98-0.0762:0070.8826.60
Mark ScheifeleWPGC98.7%0.531.102.003.205.801.301.701.500.250.770.010.010.010.3821.6623.8547.6%1.023.510.1862:3064.0023.60
Will SmithSJSRW94.5%0.531.201.903.109.201.000.900.800.310.840.010.000.010.142.883.28-1.023.57-1.1169:0675.5924.70
Beckett SenneckeANARW95.4%0.531.301.803.109.804.401.402.900.350.870.000.000.010.170.160.19-1.234.10-0.0771:3683.6125.70
Luke EvangelistaNJDRW70.4%0.520.801.502.307.101.001.101.300.250.770.000.000.000.070.030.04-0.762.30-0.1146:3652.3219.30
Juraj SlafkovskyMTLRW97.5%0.520.901.602.507.304.502.201.600.270.790.000.000.010.160.881.20-0.882.870.4955:1260.5121.70
Rasmus DahlinBUFD99.5%0.510.501.401.905.802.002.401.400.170.680.000.010.010.120.000.00-0.732.630.2548:1853.9718.20
Dylan GuentherUTARW99.3%0.511.301.202.4010.102.301.000.800.501.010.010.000.010.140.841.01-0.812.65-0.1051:5463.9525.50
Luke HughesNJDD83.0%0.510.401.401.806.800.802.301.300.130.630.000.020.020.040.000.00-1.163.57-0.1767:0072.5016.80
Mats ZuccarelloNew team · 3 GP with LAKLAKRW40.8%0.500.601.502.205.300.801.200.900.170.670.000.000.000.101.101.31-0.863.010.4057:1858.3817.30
Drake BathersonOTTRW96.7%0.501.101.402.406.605.600.901.700.380.880.000.000.010.250.470.54-0.902.570.0753:2470.7220.30
Wyatt JohnstonDALC99.8%0.501.101.602.708.602.101.901.000.330.830.020.010.030.1215.1815.6449.3%0.922.66-0.1859:2464.0624.70
Gavin McKennaTORLW92.5%0.501.202.003.207.800.701.001.800.270.770.000.000.000.220.070.08-0.922.960.1559:2470.0323.50
Cutter GauthierANALW97.4%0.481.901.503.4014.203.401.401.600.601.080.020.010.020.253.864.36-1.003.33-0.0663:3075.7433.30
Chandler StephensonSEAC24.0%0.470.401.702.102.900.701.701.300.080.550.020.040.050.0829.1326.0052.8%1.242.65-0.0756:4272.5814.40
Travis KonecnyPHIRW87.5%0.470.901.702.506.204.401.502.200.200.670.010.010.030.101.131.36-0.843.18-0.3358:1272.8219.20
Brady TkachukFLALW98.9%0.461.201.102.3010.409.300.703.200.450.910.010.010.020.237.987.3452.1%0.802.51-0.0352:4870.1822.60
Ryan O'ReillyNSHC81.0%0.460.801.402.205.300.702.400.900.230.690.060.050.100.1227.3622.7954.6%1.082.64-0.4460:1871.3917.50
Dylan CozensOTTC85.2%0.460.701.201.906.908.701.301.600.230.680.010.010.010.1617.4415.8052.5%0.782.460.0752:4269.0717.60
Kyle ConnorWPGLW98.9%0.451.601.703.309.200.901.100.500.400.850.050.030.080.550.050.06-0.982.950.1863:0667.1828.40
Thomas ChabotOTTD87.9%0.450.301.201.506.502.406.801.300.110.550.000.020.030.070.000.00-1.183.780.1173:2485.9422.10
Zach WerenskiCBJD99.6%0.440.401.401.807.200.603.300.500.110.550.010.020.030.120.000.00-0.832.94-0.3054:0054.7619.90
Vince DunnSEAD91.3%0.440.501.301.806.101.003.902.200.150.590.000.010.020.100.000.00-0.893.36-0.0866:3673.9318.60
Filip ForsbergNSHLW99.1%0.441.001.302.408.904.401.401.300.300.730.000.000.010.150.460.60-1.163.39-0.4157:3066.8921.70
Devon ToewsCOLD72.7%0.430.401.702.106.601.904.601.400.090.520.010.040.050.070.000.00-1.724.801.6793:54111.6324.10
Connor BedardCHIC97.2%0.430.801.402.306.401.000.901.400.210.640.000.000.000.118.6710.0246.4%0.702.18-0.2241:0643.8517.90
Nick SchmaltzUTARW97.1%0.431.201.302.608.001.301.700.800.440.870.040.020.070.1313.6415.4147.0%1.122.83-0.1257:2470.6722.80
Robert ThomasSTLC85.3%0.420.701.902.605.300.602.001.200.130.560.030.040.070.1027.9825.4352.4%0.983.30-0.3958:4273.3321.10
Alex DeBrincatDETLW98.7%0.421.501.402.9010.601.601.401.000.480.900.010.000.010.180.861.05-1.012.81-0.2655:3063.4727.40
Gabriel VilardiWPGRW73.9%0.420.901.302.105.200.701.600.800.240.660.000.000.000.312.642.74-0.842.490.1554:5458.2117.70
Tomas HertlVGKC86.7%0.421.101.102.206.404.301.600.900.460.870.010.000.010.2323.5718.3256.3%0.712.27-0.0349:5455.8620.00
Brayden PointTBLC94.1%0.421.001.202.206.300.501.400.600.340.760.000.000.010.0915.2417.0347.2%0.892.48-0.0657:3062.6320.40
Roope HintzDALC83.0%0.411.001.402.307.403.201.200.900.270.690.010.010.020.1122.4117.5956.0%0.742.55-0.1551:2463.3422.50
Dylan LarkinDETC95.1%0.411.101.302.509.501.701.201.700.320.720.050.020.070.1331.5928.2752.8%0.943.24-0.3060:3672.0022.90
Matias MaccelliNYILW12.2%0.410.501.201.704.500.700.700.600.140.550.000.000.000.050.140.17-0.672.270.1842:5451.0312.10
Cole CaufieldMTLLW99.9%0.411.601.202.8010.102.000.800.600.470.880.010.000.010.280.320.39-0.852.500.4955:3062.8626.30
Sam ReinhartFLARW97.3%0.411.601.002.608.303.201.600.500.641.050.060.010.070.305.947.1245.5%0.912.90-0.0463:0070.6824.80
Nico HischierNJDC95.3%0.401.201.302.607.801.802.300.700.370.770.050.030.090.1135.9329.5354.9%0.952.77-0.1561:2470.2623.80
Sidney CrosbyPITC98.7%0.401.001.402.307.402.401.501.100.270.670.000.000.000.1135.3029.0754.8%0.943.170.3459:5468.4319.20
Morgan GeekieBOSLW94.0%0.401.101.402.505.604.401.300.800.280.680.010.000.010.133.734.20-0.802.590.5352:0056.3620.20
Claude GirouxOTTRW30.8%0.390.501.201.704.402.800.900.800.130.520.010.010.020.1118.8112.7859.5%0.822.520.0852:3077.0814.20

† 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 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. Projected power-play plus shorthanded assists never exceed projected assists.

What moves a player up

- Power-play minutes per game, recent games weighted most - Power-play assist rate per 60 minutes, shrunk toward the league average for forwards or defensemen - Total assists from LineupExperts

What it does not use

opponent penalty-kill quality or unit-by-unit tracking.

💡
Pro Tip: Defensemen who quarterback a power play often project for more PPA than their goal totals suggest. Pair them with the PPG leaders on the same team.

Power-play quarterbacks

Defensemen with heavy power-play minutes lead this list more often than their point totals suggest.

Defensemen Projections

Power-play points

Power-play goals plus power-play assists in one ranking.

Power Play Points

Power-play goals

The finishing side of the same power plays.

Power Play Goals

Related Projections

Frequently Asked Questions

LineupExperts' projected assists are split by strength in proportion to the player's recent power-play, penalty-kill and even-strength minutes times his shrunk assists-per-60 rate in each situation. The power-play share is the PPA projection.
It depends on deployment. A defenseman on the top unit plays nearly every power-play second, so his share of assists on the man advantage is high. The model reads that from his minutes, not from his position alone.
If he plays little power-play time, most of his assists are projected at even strength. Power-play minutes are the main driver of the split.
In our 2024-25 and 2025-26 backtests the PPA split beat a naive per-game rate at every cutoff, and the top three deciles of predictions landed within 10% of actual totals.

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