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NHL Power-Play Goals per 60 Leaders
2017-18All 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 2017-18: Patrik Laine (WPG), 0.89 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 | Patrik LaineFWPG | WPG | 0.89 | 1,351 | 20 | 9.7%▲9.2 |
| 2 | Patric HornqvistFPIT | PIT | 0.74 | 1,213 | 15 | — |
| 3 | Filip ForsbergFNSH | NSH | 0.67 | 1,171 | 13 | 99%▲1.7 |
| 4 | Mika ZibanejadFNYR | NYR | 0.65 | 1,293 | 14 | 98%▲1.4 |
| 5 | Alex OvechkinFWSH | WSH | 0.62 | 1,652 | 17 | 96%▲1.2 |
| 6 | Kyle PalmieriFNJD | NJD | 0.61 | 1,073 | 11 | 19%▲10 |
| 7 | Steven StamkosFTBL | TBL | 0.61 | 1,464 | 15 | 94%▼4.2 |
| 8 | Anders LeeFNYI | NYI | 0.59 | 1,416 | 14 | 29%▼20 |
| 9 | Evgeni MalkinFPIT | PIT | 0.57 | 1,481 | 14 | 82%▲11 |
| 10 | Brock BoeserFVAN | VAN | 0.55 | 1,085 | 10 | 64%▼4.5 |
| 11 | James van RiemsdykFTOR | TOR | 0.55 | 1,206 | 11 | 0.3% |
| 12 | Artem AnisimovFCHI | CHI | 0.55 | 1,209 | 11 | — |
| 13 | Nazem KadriFTOR | TOR | 0.54 | 1,341 | 12 | 71%▼9 |
| 14 | Taylor HallFNJD | NJD | 0.54 | 1,455 | 13 | 28%▲20 |
| 15 | Ryan O'ReillyFBUF | BUF | 0.53 | 1,686 | 15 | 84%▲5 |
| 16 | David PastrnakFBOS | BOS | 0.53 | 1,473 | 13 | 100%▲1.1 |
| 17 | Sam ReinhartFBUF | BUF | 0.51 | 1,402 | 12 | 99% |
| 18 | Matthew TkachukFCGY | CGY | 0.51 | 1,173 | 10 | 100%▲2.6 |
| 19 | Sven BaertschiFVAN | VAN | 0.51 | 827 | 7 | — |
| 20 | Erik HaulaFVGK | VGK | 0.50 | 1,320 | 11 | 12%▲8.7 |
| 21 | Tyler SeguinFDAL | DAL | 0.49 | 1,715 | 14 | 22%▲19 |
| 22 | Nathan MacKinnonFCOL | COL | 0.49 | 1,473 | 12 | 100%▲0.9 |
| 23 | Joe ThorntonFSJS | SJS | 0.49 | 862 | 7 | — |
| 24 | Wayne SimmondsFPHI | PHI | 0.49 | 1,357 | 11 | — |
| 25 | Bo HorvatFVAN | VAN | 0.48 | 1,238 | 10 | 90%▲1.2 |
| 26 | Patrice BergeronFBOS | BOS | 0.48 | 1,244 | 10 | — |
| 27 | J.T. MillerFNYR/TBL | NYR/TBL | 0.47 | 1,396 | 11 | 92%▲7.7 |
| 28 | Phil KesselFPIT | PIT | 0.47 | 1,532 | 12 | — |
| 29 | Mikko RantanenFCOL | COL | 0.47 | 1,536 | 12 | 99%▲0.5 |
| 30 | Chris KreiderFNYR | NYR | 0.46 | 906 | 7 | 62%▲29 |
| 31 | Eric StaalFMIN | MIN | 0.45 | 1,461 | 11 | — |
| 32 | Vincent TrocheckFFLA | FLA | 0.45 | 1,752 | 13 | 88%▼5.4 |
| 33 | Nino NiederreiterFMIN | MIN | 0.44 | 945 | 7 | 4.0%▲3.8 |
| 34 | Craig SmithFNSH | NSH | 0.44 | 1,215 | 9 | — |
| 35 | John TavaresFNYI | NYI | 0.44 | 1,634 | 12 | 96%▲9.3 |
| 36 | Daniel SedinFVAN | VAN | 0.44 | 1,237 | 9 | — |
| 37 | Martin FrkFDET | DET | 0.43 | 700 | 5 | — |
| 38 | Logan CoutureFSJS | SJS | 0.41 | 1,447 | 10 | — |
| 39 | Alex GalchenyukFMTL | MTL | 0.41 | 1,331 | 9 | — |
| 40 | Tomas TatarFDET/VGK | DET/VGK | 0.40 | 1,334 | 9 | — |
| 41 | T.J. OshieFWSH | WSH | 0.40 | 1,362 | 9 | — |
| 42 | Sean MonahanFCGY | CGY | 0.39 | 1,382 | 9 | 19%▲13 |
| 43 | Anthony ManthaFDET | DET | 0.39 | 1,384 | 9 | 52%▲15 |
| 44 | Vladislav NamestnikovFTBL/NYR | TBL/NYR | 0.39 | 1,384 | 9 | 0.1% |
| 45 | David KrejciFBOS | BOS | 0.39 | 1,080 | 7 | — |
| 46 | Mark ScheifeleFWPG | WPG | 0.39 | 1,241 | 8 | 99% |
| 47 | Andrew ShawFMTL | MTL | 0.37 | 806 | 5 | — |
| 48 | Brendan GallagherFMTL | MTL | 0.36 | 1,325 | 8 | 3.3%▲2.8 |
| 49 | Matt DucheneFOTT/COL | OTT/COL | 0.36 | 1,503 | 9 | 62%▼17 |
| 50 | Brad MarchandFBOS | BOS | 0.36 | 1,341 | 8 | 73%▲0.7 |
| 51 | Mitch MarnerFTOR | TOR | 0.36 | 1,344 | 8 | 99%▲1.3 |
| 52 | Mathieu PerreaultFWPG | WPG | 0.36 | 1,012 | 6 | — |
| 53 | Reilly SmithFVGK | VGK | 0.35 | 1,201 | 7 | — |
| 54 | Sebastian AhoFCAR | CAR | 0.34 | 1,398 | 8 | 99%▲1.2 |
| 55 | Dustin BrownFLAK | LAK | 0.34 | 1,607 | 9 | — |
| 56 | Kyle TurrisFNSH/OTT | NSH/OTT | 0.33 | 1,263 | 7 | — |
| 57 | Jamie BennFDAL | DAL | 0.33 | 1,625 | 9 | 22%▲18 |
| 58 | Brian BoyleFNJD | NJD | 0.33 | 917 | 5 | — |
| 59 | Kyle ConnorFWPG | WPG | 0.33 | 1,285 | 7 | 99%▲1.1 |
| 60 | Claude GirouxFPHI | PHI | 0.32 | 1,670 | 9 | 30%▲20 |
| 61 | Rickard RakellFANA | ANA | 0.32 | 1,495 | 8 | 83%▲11 |
| 62 | Nikolaj EhlersFWPG | WPG | 0.32 | 1,319 | 7 | 93%▲7.5 |
| 63 | Sidney CrosbyFPIT | PIT | 0.32 | 1,697 | 9 | 100%▲2.4 |
| 64 | Mike HoffmanFOTT | OTT | 0.32 | 1,509 | 8 | — |
| 65 | Yanni GourdeFTBL | TBL | 0.32 | 1,325 | 7 | 4.9%▲4 |
| 66 | Tyson JostFCOL | COL | 0.32 | 951 | 5 | 0.0% |
| 67 | William KarlssonFVGK | VGK | 0.31 | 1,535 | 8 | 24%▲20 |
| 68 | Micheal FerlandFCGY | CGY | 0.31 | 1,156 | 6 | — |
| 69 | Jake GuentzelFPIT | PIT | 0.31 | 1,352 | 7 | 100% |
| 70 | Gabriel LandeskogFCOL | COL | 0.31 | 1,571 | 8 | 50%▲32 |
| 71 | Nikita KucherovFTBL | TBL | 0.30 | 1,586 | 8 | 100% |
| 72 | Jason ZuckerFMIN | MIN | 0.30 | 1,391 | 7 | 23%▲17 |
| 73 | Nolan PatrickFPHI | PHI | 0.30 | 1,002 | 5 | — |
| 74 | Jaden SchwartzFSTL | STL | 0.30 | 1,202 | 6 | 11%▲11 |
| 75 | Brayden SchennFSTL | STL | 0.30 | 1,617 | 8 | 28%▲7.8 |
| 76 | Alex DeBrincatFCHI | CHI | 0.30 | 1,214 | 6 | 100%▲2.5 |
| 77 | Max PaciorettyFMTL | MTL | 0.30 | 1,217 | 6 | — |
| 78 | Drew StaffordFNJD | NJD | 0.29 | 818 | 4 | — |
| 79 | Mikael GranlundFMIN | MIN | 0.29 | 1,446 | 7 | 52%▼12 |
| 80 | Nail YakupovFCOL | COL | 0.29 | 629 | 3 | — |
| 81 | Brett ConnollyFWSH | WSH | 0.29 | 840 | 4 | — |
| 82 | Evgeny KuznetsovFWSH | WSH | 0.28 | 1,486 | 7 | — |
| 83 | Alexander KerfootFCOL | COL | 0.28 | 1,062 | 5 | 3.2%▲3.1 |
| 84 | Marian GaborikFLAK/OTT | LAK/OTT | 0.28 | 643 | 3 | — |
| 85 | Brendan PerliniFARI | ARI | 0.28 | 1,074 | 5 | — |
| 86 | Kyle OkposoFBUF | BUF | 0.28 | 1,294 | 6 | — |
| 87 | Christian FischerFARI | ARI | 0.27 | 1,098 | 5 | — |
| 88 | Kevin HayesFNYR | NYR | 0.27 | 1,319 | 6 | 0.0% |
| 89 | Tyler ToffoliFLAK | LAK | 0.27 | 1,322 | 6 | 38%▼18 |
| 90 | Tyson BarrieDCOL | COL | 0.27 | 1,543 | 7 | — |
| 91 | Pavel BuchnevichFNYR | NYR | 0.27 | 1,111 | 5 | 36%▲7.6 |
| 92 | Jonathan MarchessaultFVGK | VGK | 0.27 | 1,348 | 6 | 24%▼21 |
| 93 | Auston MatthewsFTOR | TOR | 0.27 | 1,124 | 5 | 99% |
| 94 | Jonathan HuberdeauFFLA | FLA | 0.27 | 1,575 | 7 | 17%▲12 |
| 95 | Joe PavelskiFSJS | SJS | 0.27 | 1,579 | 7 | — |
| 96 | Pierre-Luc DuboisFCBJ | CBJ | 0.26 | 1,364 | 6 | 42%▲33 |
| 97 | Nicklas BackstromFWSH | WSH | 0.26 | 1,593 | 7 | — |
| 98 | Evgenii DadonovFFLA | FLA | 0.26 | 1,384 | 6 | 0.1% |
| 99 | Artemi PanarinFCBJ | CBJ | 0.26 | 1,631 | 7 | 97%▼1.8 |
| 100 | Alexander RadulovFDAL | DAL | 0.25 | 1,650 | 7 | — |
Minimum sample: 492 minutes (it scales with games played). 289 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.