More skater stats
NHL Power-Play Goals per 60 Leaders
2019-20All situationsThrough 71 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 2019-20: David Pastrnak (BOS), 0.90 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 | David PastrnakFBOS | BOS | 0.90 | 1,327 | 20 | 100%▲1.1 |
| 2 | James NealFEDM | EDM | 0.80 | 897 | 12 | — |
| 3 | Mika ZibanejadFNYR | NYR | 0.73 | 1,233 | 15 | 98%▲1.4 |
| 4 | Evander KaneFSJS | SJS | 0.67 | 1,250 | 14 | 5.7%▲0.8 |
| 5 | Victor OlofssonFBUF | BUF | 0.66 | 993 | 11 | 14%▲14 |
| 6 | Zach PariseFMIN | MIN | 0.61 | 1,187 | 12 | — |
| 7 | Mikko RantanenFCOL | COL | 0.60 | 796 | 8 | 99%▲0.5 |
| 8 | Leon DraisaitlFEDM | EDM | 0.60 | 1,605 | 16 | 100% |
| 9 | Kyle PalmieriFNJD | NJD | 0.59 | 1,112 | 11 | 19%▲10 |
| 10 | Patrice BergeronFBOS | BOS | 0.58 | 1,142 | 11 | — |
| 11 | Steven StamkosFTBL | TBL | 0.57 | 1,050 | 10 | 94%▼4.2 |
| 12 | Mike HoffmanFFLA | FLA | 0.57 | 1,162 | 11 | — |
| 13 | Evgenii DadonovFFLA | FLA | 0.56 | 1,180 | 11 | 0.1% |
| 14 | Alex OvechkinFWSH | WSH | 0.56 | 1,405 | 13 | 96%▲1.2 |
| 15 | Kevin FialaFMIN | MIN | 0.55 | 986 | 9 | 67%▼8.3 |
| 16 | Bo HorvatFVAN | VAN | 0.53 | 1,362 | 12 | 90%▲1.2 |
| 17 | Denis GurianovFDAL | DAL | 0.51 | 831 | 7 | — |
| 18 | Chris KreiderFNYR | NYR | 0.50 | 1,087 | 9 | 62%▲29 |
| 19 | Nathan MacKinnonFCOL | COL | 0.49 | 1,464 | 12 | 100%▲0.9 |
| 20 | Auston MatthewsFTOR | TOR | 0.49 | 1,468 | 12 | 99% |
| 21 | Alex DeBrincatFCHI | CHI | 0.49 | 1,225 | 10 | 100%▲2.5 |
| 22 | T.J. OshieFWSH | WSH | 0.48 | 1,262 | 10 | — |
| 23 | Connor McDavidFEDM | EDM | 0.47 | 1,399 | 11 | 100%▲1.5 |
| 24 | Brayden SchennFSTL | STL | 0.46 | 1,311 | 10 | 28%▲7.8 |
| 25 | Phil KesselFARI | ARI | 0.45 | 1,200 | 9 | — |
| 26 | Jake GuentzelFPIT | PIT | 0.45 | 805 | 6 | 100% |
| 27 | Anthony ManthaFDET | DET | 0.44 | 812 | 6 | 52%▲15 |
| 28 | Artem AnisimovFOTT | OTT | 0.44 | 679 | 5 | — |
| 29 | Bryan RustFPIT | PIT | 0.44 | 1,087 | 8 | 85%▲2.5 |
| 30 | Jack EichelFBUF | BUF | 0.44 | 1,503 | 11 | 99%▲1.4 |
| 31 | Emil BemstromFCBJ | CBJ | 0.44 | 687 | 5 | — |
| 32 | William NylanderFTOR | TOR | 0.44 | 1,238 | 9 | 99%▼0.8 |
| 33 | Tomas TatarFMTL | MTL | 0.43 | 1,108 | 8 | — |
| 34 | Jason ZuckerFMIN/PIT | MIN/PIT | 0.43 | 980 | 7 | 23%▲17 |
| 35 | Jamie BennFDAL | DAL | 0.42 | 1,134 | 8 | 22%▲18 |
| 36 | Alex ChiassonFEDM | EDM | 0.42 | 853 | 6 | — |
| 37 | Jaden SchwartzFSTL | STL | 0.42 | 1,291 | 9 | 11%▲11 |
| 38 | Alexander RadulovFDAL | DAL | 0.42 | 1,005 | 7 | — |
| 39 | David PerronFSTL | STL | 0.42 | 1,300 | 9 | 0.2% |
| 40 | Jake DeBruskFBOS | BOS | 0.40 | 1,043 | 7 | 49%▼20 |
| 41 | Kevin StenlundFCBJ | CBJ | 0.40 | 447 | 3 | 0.1% |
| 42 | Jake VirtanenFVAN | VAN | 0.40 | 903 | 6 | — |
| 43 | Alex KillornFTBL | TBL | 0.39 | 1,219 | 8 | 5.1%▲3.6 |
| 44 | Evgeni MalkinFPIT | PIT | 0.39 | 1,074 | 7 | 82%▲11 |
| 45 | J.T. MillerFVAN | VAN | 0.39 | 1,387 | 9 | 92%▲7.7 |
| 46 | Mark ScheifeleFWPG | WPG | 0.39 | 1,548 | 10 | 99% |
| 47 | Brayden PointFTBL | TBL | 0.38 | 1,248 | 8 | 95%▲7.5 |
| 48 | Filip ForsbergFNSH | NSH | 0.38 | 1,093 | 7 | 99%▲1.7 |
| 49 | Elias PetterssonFVAN | VAN | 0.38 | 1,260 | 8 | 87%▼5.5 |
| 50 | Sean MonahanFCGY | CGY | 0.38 | 1,267 | 8 | 19%▲13 |
| 51 | Max PaciorettyFVGK | VGK | 0.38 | 1,272 | 8 | — |
| 52 | Robby FabbriFDET/STL | DET/STL | 0.37 | 985 | 6 | — |
| 53 | Patrik LaineFWPG | WPG | 0.36 | 1,320 | 8 | 9.7%▲9.2 |
| 54 | Sebastian AhoFCAR | CAR | 0.36 | 1,321 | 8 | 99%▲1.2 |
| 55 | Kyle ConnorFWPG | WPG | 0.36 | 1,497 | 9 | 99%▲1.1 |
| 56 | Andreas JohnssonFTOR | TOR | 0.35 | 677 | 4 | — |
| 57 | Elias LindholmFCGY | CGY | 0.35 | 1,381 | 8 | 43%▲4.7 |
| 58 | John TavaresFTOR | TOR | 0.34 | 1,232 | 7 | 96%▲9.3 |
| 59 | Oskar LindblomFPHI | PHI | 0.34 | 528 | 3 | — |
| 60 | Gabriel LandeskogFCOL | COL | 0.33 | 1,082 | 6 | 50%▲32 |
| 61 | Milan LucicFCGY | CGY | 0.33 | 907 | 5 | — |
| 62 | Martin NecasFCAR | CAR | 0.33 | 907 | 5 | 100%▲1.8 |
| 63 | Adam GaudetteFVAN | VAN | 0.33 | 731 | 4 | 0.1% |
| 64 | Carl SoderbergFARI | ARI | 0.32 | 1,113 | 6 | — |
| 65 | Patrick KaneFCHI | CHI | 0.32 | 1,494 | 8 | 80%▲0.9 |
| 66 | Claude GirouxFPHI | PHI | 0.32 | 1,310 | 7 | 30%▲20 |
| 67 | Evgeny KuznetsovFWSH | WSH | 0.32 | 1,124 | 6 | — |
| 68 | Aleksander BarkovFFLA | FLA | 0.32 | 1,321 | 7 | 97%▲7 |
| 69 | Joe PavelskiFDAL | DAL | 0.32 | 1,134 | 6 | — |
| 70 | Nick SuzukiFMTL | MTL | 0.32 | 1,135 | 6 | 100%▲0.5 |
| 71 | Andrei SvechnikovFCAR | CAR | 0.32 | 1,138 | 6 | 97%▲8.8 |
| 72 | Erik HaulaFCAR/FLA | CAR/FLA | 0.32 | 760 | 4 | 12%▲8.7 |
| 73 | Ryan Nugent-HopkinsFEDM | EDM | 0.32 | 1,330 | 7 | 77%▲15 |
| 74 | Jonathan MarchessaultFVGK | VGK | 0.32 | 1,141 | 6 | 24%▼21 |
| 75 | Nikita GusevFNJD | NJD | 0.31 | 970 | 5 | — |
| 76 | Christian DvorakFARI | ARI | 0.31 | 1,169 | 6 | 16%▲13 |
| 77 | Wayne SimmondsFNJD/BUF | NJD/BUF | 0.30 | 1,015 | 5 | — |
| 78 | Artemi PanarinFNYR | NYR | 0.30 | 1,422 | 7 | 97%▼1.8 |
| 79 | Alex TuchFVGK | VGK | 0.29 | 614 | 3 | 94%▼5.5 |
| 80 | Tyler EnnisFOTT/EDM | OTT/EDM | 0.29 | 1,030 | 5 | — |
| 81 | Sidney CrosbyFPIT | PIT | 0.29 | 831 | 4 | 100%▲2.4 |
| 82 | Mark StoneFVGK | VGK | 0.29 | 1,262 | 6 | 93%▲9.6 |
| 83 | Anze KopitarFLAK | LAK | 0.29 | 1,473 | 7 | 0.5% |
| 84 | Brock BoeserFVAN | VAN | 0.28 | 1,059 | 5 | 64%▼4.5 |
| 85 | Mitch MarnerFTOR | TOR | 0.28 | 1,272 | 6 | 99%▲1.3 |
| 86 | Anthony DuclairFOTT | OTT | 0.28 | 1,073 | 5 | 3.3%▲3 |
| 87 | Johnny GaudreauFCGY | CGY | 0.27 | 1,315 | 6 | — |
| 88 | Alex IafalloFLAK | LAK | 0.27 | 1,325 | 6 | 4.3%▲3 |
| 89 | Travis KonecnyFPHI | PHI | 0.27 | 1,109 | 5 | 92%▲9.6 |
| 90 | Nazem KadriFCOL | COL | 0.27 | 889 | 4 | 71%▼9 |
| 91 | Matt DucheneFNSH | NSH | 0.27 | 1,114 | 5 | 62%▼17 |
| 92 | Eric StaalFMIN | MIN | 0.27 | 1,131 | 5 | — |
| 93 | Ryan DzingelFCAR | CAR | 0.26 | 906 | 4 | — |
| 94 | Tyler ToffoliFLAK/VAN | LAK/VAN | 0.26 | 1,146 | 5 | 38%▼18 |
| 95 | Viktor ArvidssonFNSH | NSH | 0.26 | 924 | 4 | 33%▲23 |
| 96 | Craig SmithFNSH | NSH | 0.26 | 926 | 4 | — |
| 97 | Kailer YamamotoFEDM | EDM | 0.26 | 469 | 2 | 0.2% |
| 98 | Adam HenriqueFANA | ANA | 0.25 | 1,198 | 5 | 0.5% |
| 99 | Conor GarlandFARI | ARI | 0.25 | 962 | 4 | 10%▲7.4 |
| 100 | Jack HughesFNJD | NJD | 0.25 | 968 | 4 | 100% |
Minimum sample: 426 minutes (it scales with games played). 286 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.