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NHL Power-Play Goals per 60 Leaders
2025-26All situationsThrough 82 team games
This board ranks skaters by power-play goals per 60 minutes of ice time in all situations, so players with different roles are compared fairly. Players under the minimum-minutes cutoff are hidden.
Power-play goals are scored while the team has more skaters on the ice than the opponent. The leaders are the trigger men of first power-play units: the one-timer from the left circle, the net-front tip. Rates surface low-minute players who already produce power-play goals; they gain the most when their ice time grows.
Leader in 2025-26: Wyatt Johnston (DAL), 0.98 PPG/60.
- Completed seasons use the NHL's official power-play and shorthanded totals.
Power-Play Goals per 60 leaderboard
| # | Player | Team | PPG/60 | PPG | ||
|---|---|---|---|---|---|---|
| 1 | Wyatt JohnstonFDAL | DAL | 0.98 | 1,650 | 27 | 100%▲0.9 |
| 2 | Jake DeBruskFVAN | VAN | 0.83 | 1,366 | 19 | 49%▼20 |
| 3 | Pavel DorofeyevFVGK | VGK | 0.83 | 1,444 | 20 | 92%▲1.8 |
| 4 | Leon DraisaitlFEDM | EDM | 0.68 | 1,402 | 16 | 100% |
| 5 | Kirill KaprizovFMIN | MIN | 0.66 | 1,727 | 19 | 98%▼0.9 |
| 6 | Jason ZuckerFBUF | BUF | 0.62 | 969 | 10 | 23%▲17 |
| 7 | Andrei KuzmenkoFLAK | LAK | 0.62 | 776 | 8 | 11%▲9.8 |
| 8 | Alex DeBrincatFDET | DET | 0.59 | 1,517 | 15 | 100%▲2.5 |
| 9 | Juraj SlafkovskýFMTL | MTL | 0.59 | 1,520 | 15 | 100%▲1.5 |
| 10 | Steven StamkosFNSH | NSH | 0.57 | 1,462 | 14 | 94%▼4.2 |
| 11 | Drake BathersonFOTT | OTT | 0.57 | 1,371 | 13 | 97%▲7.2 |
| 12 | Mika ZibanejadFNYR | NYR | 0.57 | 1,693 | 16 | 98%▲1.4 |
| 13 | Dylan LarkinFDET | DET | 0.56 | 1,494 | 14 | 96% |
| 14 | Tomas HertlFVGK | VGK | 0.56 | 1,397 | 13 | 84%▲3.2 |
| 15 | Dylan CozensFOTT | OTT | 0.56 | 1,397 | 13 | 90%▲3.9 |
| 16 | Jason RobertsonFDAL | DAL | 0.54 | 1,661 | 15 | 100% |
| 17 | Andrei SvechnikovFCAR | CAR | 0.54 | 1,342 | 12 | 97%▲8.8 |
| 18 | Zach HymanFEDM | EDM | 0.52 | 1,159 | 10 | 98%▼1.8 |
| 19 | Morgan GeekieFBOS | BOS | 0.51 | 1,410 | 12 | 96%▲7.9 |
| 20 | Gabriel VilardiFWPG | WPG | 0.51 | 1,537 | 13 | 80%▲7.7 |
| 21 | Cutter GauthierFANA | ANA | 0.50 | 1,311 | 11 | 98%▲1.3 |
| 22 | Pavel ZachaFBOS | BOS | 0.50 | 1,314 | 11 | 78%▲13 |
| 23 | James van RiemsdykFDET | DET | 0.50 | 846 | 7 | 0.3% |
| 24 | Oliver BjorkstrandFTBL | TBL | 0.50 | 1,091 | 9 | 20% |
| 25 | Jared McCannFSEA | SEA | 0.49 | 855 | 7 | 72%▲1.9 |
| 26 | Sam ReinhartFFLA | FLA | 0.48 | 1,362 | 11 | 99% |
| 27 | John TavaresFTOR | TOR | 0.48 | 1,491 | 12 | 96%▲9.3 |
| 28 | Ryan Nugent-HopkinsFEDM | EDM | 0.48 | 1,372 | 11 | 77%▲15 |
| 29 | Dmitri VoronkovFCBJ | CBJ | 0.48 | 878 | 7 | 19%▲17 |
| 30 | Mark StoneFVGK | VGK | 0.47 | 1,153 | 9 | 93%▲9.6 |
| 31 | Sidney CrosbyFPIT | PIT | 0.46 | 1,308 | 10 | 100%▲2.4 |
| 32 | Tyler BertuzziFCHI | CHI | 0.45 | 1,457 | 11 | 62%▼3.5 |
| 33 | Cole CaufieldFMTL | MTL | 0.45 | 1,473 | 11 | 100%▲1.2 |
| 34 | Nikolaj EhlersFCAR | CAR | 0.44 | 1,361 | 10 | 93%▲7.5 |
| 35 | Mikael GranlundFANA | ANA | 0.43 | 1,112 | 8 | 52%▼12 |
| 36 | Filip ForsbergFNSH | NSH | 0.43 | 1,549 | 11 | 99%▲1.7 |
| 37 | Matthew TkachukFFLA | FLA | 0.42 | 567 | 4 | 100%▲2.6 |
| 38 | Matt BoldyFMIN | MIN | 0.42 | 1,563 | 11 | 100% |
| 39 | Josh DoanFBUF | BUF | 0.42 | 1,301 | 9 | 61%▲44 |
| 40 | Connor McDavidFEDM | EDM | 0.41 | 1,885 | 13 | 100%▲1.5 |
| 41 | Nick SchmaltzFUTA | UTA | 0.41 | 1,617 | 11 | 94%▲4.4 |
| 42 | Trevor ZegrasFPHI | PHI | 0.40 | 1,516 | 10 | 86%▲18 |
| 43 | Dylan GuentherFUTA | UTA | 0.39 | 1,374 | 9 | 99%▲1.7 |
| 44 | Roope HintzFDAL | DAL | 0.39 | 919 | 6 | 84%▲7.1 |
| 45 | Brad MarchandFFLA | FLA | 0.39 | 922 | 6 | 73%▲0.7 |
| 46 | Nico HischierFNJD | NJD | 0.39 | 1,699 | 11 | 97%▲2.3 |
| 47 | Nick SuzukiFMTL | MTL | 0.39 | 1,707 | 11 | 100%▲0.5 |
| 48 | Logan CooleyFUTA | UTA | 0.38 | 936 | 6 | 94%▲9.3 |
| 49 | Will SmithFSJS | SJS | 0.38 | 1,255 | 8 | 95%▲23 |
| 50 | Morgan FrostFCGY | CGY | 0.38 | 1,271 | 8 | 23%▲17 |
| 51 | David PastrnakFBOS | BOS | 0.38 | 1,590 | 10 | 100%▲1.1 |
| 52 | Brock NelsonFCOL | COL | 0.38 | 1,592 | 10 | 88%▼3.6 |
| 53 | Chris KreiderFANA | ANA | 0.38 | 1,279 | 8 | 62%▲29 |
| 54 | Alexis LafrenièreFNYR | NYR | 0.37 | 1,443 | 9 | 82%▲13 |
| 55 | Nathan MacKinnonFCOL | COL | 0.37 | 1,781 | 11 | 100%▲0.9 |
| 56 | Rickard RakellFPIT | PIT | 0.37 | 1,137 | 7 | 83%▲11 |
| 57 | Darren RaddyshDTBL | TBL | 0.36 | 1,657 | 10 | 99%▲3.2 |
| 58 | Tyson FoersterFPHI | PHI | 0.36 | 502 | 3 | 42%▲38 |
| 59 | Calum RitchieFNYI | NYI | 0.34 | 875 | 5 | 31%▲31 |
| 60 | Anthony ManthaFPIT | PIT | 0.34 | 1,230 | 7 | 52%▲15 |
| 61 | Elias LindholmFBOS | BOS | 0.34 | 1,234 | 7 | 43%▲4.7 |
| 62 | Shayne GostisbehereDCAR | CAR | 0.34 | 1,058 | 6 | 96%▲16 |
| 63 | Kiefer SherwoodFVAN/SJS | VAN/SJS | 0.34 | 1,243 | 7 | 59%▲6.6 |
| 64 | Michael BuntingFNSH/DAL | NSH/DAL | 0.34 | 1,069 | 6 | 3.7%▲1 |
| 65 | Bryan RustFPIT | PIT | 0.33 | 1,436 | 8 | 85%▲2.5 |
| 66 | Tim StützleFOTT | OTT | 0.33 | 1,621 | 9 | 99%▲0.8 |
| 67 | William NylanderFTOR | TOR | 0.33 | 1,262 | 7 | 99%▼0.8 |
| 68 | Ivan DemidovFMTL | MTL | 0.33 | 1,271 | 7 | 91%▲22 |
| 69 | Mats ZuccarelloFMIN | MIN | 0.33 | 1,100 | 6 | 51%▲29 |
| 70 | Martin NecasFCOL | COL | 0.32 | 1,677 | 9 | 100%▲1.8 |
| 71 | Matt DucheneFDAL | DAL | 0.32 | 941 | 5 | 62%▼17 |
| 72 | Teuvo TeravainenFCHI | CHI | 0.32 | 1,331 | 7 | 13%▲8.6 |
| 73 | Matt CoronatoFCGY | CGY | 0.32 | 1,332 | 7 | 40%▲6.3 |
| 74 | Joel Eriksson EkFMIN | MIN | 0.31 | 1,336 | 7 | 82%▲10 |
| 75 | Mason McTavishFANA | ANA | 0.31 | 1,149 | 6 | 51%▲36 |
| 76 | Brayden PointFTBL | TBL | 0.31 | 1,150 | 6 | 95%▲7.5 |
| 77 | Nikita KucherovFTBL | TBL | 0.31 | 1,545 | 8 | 100% |
| 78 | Corey PerryFLAK/TBL | LAK/TBL | 0.30 | 984 | 5 | 7.4%▲5.9 |
| 79 | Tyler ToffoliFSJS | SJS | 0.30 | 1,183 | 6 | 38%▼18 |
| 80 | Tom WilsonFWSH | WSH | 0.30 | 1,401 | 7 | 94%▲6.3 |
| 81 | Bo HorvatFNYI | NYI | 0.30 | 1,412 | 7 | 90%▲1.2 |
| 82 | Brady TkachukFOTT | OTT | 0.29 | 1,018 | 5 | 100%▲2 |
| 83 | Dalibor DvorskyFSTL | STL | 0.29 | 1,018 | 5 | 28%▲28 |
| 84 | Alexander WennbergFSJS | SJS | 0.29 | 1,636 | 8 | 25%▼1.6 |
| 85 | Anthony DuclairFNYI | NYI | 0.29 | 819 | 4 | 3.3%▲3 |
| 86 | Jake GuentzelFTBL | TBL | 0.29 | 1,640 | 8 | 100% |
| 87 | Connor BedardFCHI | CHI | 0.29 | 1,440 | 7 | 98%▲3.6 |
| 88 | Zayne ParekhDCGY | CGY | 0.28 | 634 | 3 | 68%▲55 |
| 89 | Fabian ZetterlundFOTT | OTT | 0.28 | 1,059 | 5 | 13%▲6.6 |
| 90 | Charlie CoyleFCBJ | CBJ | 0.28 | 1,484 | 7 | 49%▼11 |
| 91 | Ryan HartmanFMIN | MIN | 0.28 | 1,273 | 6 | 40%▼17 |
| 92 | Alex TuchFBUF | BUF | 0.28 | 1,501 | 7 | 94%▼5.5 |
| 93 | Lucas RaymondFDET | DET | 0.28 | 1,504 | 7 | 96%▲10 |
| 94 | Mikko RantanenFDAL | DAL | 0.28 | 1,291 | 6 | 99%▲0.5 |
| 95 | Macklin CelebriniFSJS | SJS | 0.27 | 1,748 | 8 | 100%▲1 |
| 96 | Matthew WoodFNSH | NSH | 0.27 | 875 | 4 | 31%▲30 |
| 97 | Sebastian AhoFCAR | CAR | 0.27 | 1,549 | 7 | 99%▲1.2 |
| 98 | Vladimir TarasenkoFMIN | MIN | 0.27 | 1,120 | 5 | 10%▲1 |
| 99 | Carter VerhaegheFFLA | FLA | 0.27 | 1,356 | 6 | 72% |
| 100 | J.T. MillerFNYR | NYR | 0.26 | 1,370 | 6 | 92%▲7.7 |
Minimum sample: 492 minutes (it scales with games played). 321 below the minimum are hidden.
How to read it
Power-Play Goals per 60 minutes of ice time, all situations.
How reliable is it?
Rates need minutes: early in a season, low-minute players swing the most.
About our data sources →Projected next
Our fantasy projections for power-play goals: who should lead the coming games.
Related leaderboards
- Power-Play GoalsGoals scored with the man advantage (5-on-4, 5-on-3, 4-on-3).
- Power-Play Goals: forwardsGoals scored with the man advantage (5-on-4, 5-on-3, 4-on-3).
- Power-Play Goals: defenseGoals scored with the man advantage (5-on-4, 5-on-3, 4-on-3).
- Power-Play AssistsAssists on goals scored with the man advantage.