More skater stats
NHL Power-Play Goals per 60 Leaders
2018-19All 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 2018-19: David Pastrnak (BOS), 0.82 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 | 0.82 | 1,238 | 17 | 100%▲1.1 |
| 2 | Brayden PointFTBL | TBL | 0.80 | 1,495 | 20 | 95%▲7.5 |
| 3 | Steven StamkosFTBL | TBL | 0.76 | 1,501 | 19 | 94%▼4.2 |
| 4 | Mike HoffmanFFLA | FLA | 0.70 | 1,463 | 17 | — |
| 5 | Alex OvechkinFWSH | WSH | 0.64 | 1,695 | 18 | 96%▲1.2 |
| 6 | Patrik LaineFWPG | WPG | 0.64 | 1,413 | 15 | 9.7%▲9.2 |
| 7 | Mikko RantanenFCOL | COL | 0.62 | 1,542 | 16 | 99%▲0.5 |
| 8 | Auston MatthewsFTOR | TOR | 0.57 | 1,262 | 12 | 99% |
| 9 | Nikita KucherovFTBL | TBL | 0.55 | 1,637 | 15 | 100% |
| 10 | Alex DeBrincatFCHI | CHI | 0.54 | 1,451 | 13 | 100%▲2.5 |
| 11 | Leon DraisaitlFEDM | EDM | 0.52 | 1,852 | 16 | 100% |
| 12 | Vladimir TarasenkoFSTL | STL | 0.51 | 1,398 | 12 | 10%▲1 |
| 13 | Joe PavelskiFSJS | SJS | 0.50 | 1,428 | 12 | — |
| 14 | Kyle PalmieriFNJD | NJD | 0.49 | 1,343 | 11 | 19%▲10 |
| 15 | Phil KesselFPIT | PIT | 0.49 | 1,474 | 12 | — |
| 16 | Sean MonahanFCGY | CGY | 0.48 | 1,486 | 12 | 19%▲13 |
| 17 | Mathew DumbaDMIN | MIN | 0.48 | 748 | 6 | 0.1% |
| 18 | Alex GalchenyukFARI | ARI | 0.48 | 1,133 | 9 | — |
| 19 | Matthew TkachukFCGY | CGY | 0.47 | 1,408 | 11 | 100%▲2.6 |
| 20 | Elias PetterssonFVAN | VAN | 0.46 | 1,294 | 10 | 87%▼5.5 |
| 21 | Tomas HertlFSJS | SJS | 0.45 | 1,465 | 11 | 84%▲3.2 |
| 22 | Patrice BergeronFBOS | BOS | 0.45 | 1,200 | 9 | — |
| 23 | Anthony DuclairFCBJ/OTT | CBJ/OTT | 0.45 | 940 | 7 | 3.3%▲3 |
| 24 | James van RiemsdykFPHI | PHI | 0.44 | 1,096 | 8 | 0.3% |
| 25 | Jake DeBruskFBOS | BOS | 0.44 | 1,099 | 8 | 49%▼20 |
| 26 | Zach PariseFMIN | MIN | 0.43 | 1,381 | 10 | — |
| 27 | Sidney CrosbyFPIT | PIT | 0.43 | 1,658 | 12 | 100%▲2.4 |
| 28 | Pavel BuchnevichFNYR | NYR | 0.43 | 971 | 7 | 36%▲7.6 |
| 29 | David PerronFSTL | STL | 0.43 | 974 | 7 | 0.2% |
| 30 | Brian BoyleFNJD/NSH | NJD/NSH | 0.43 | 981 | 7 | — |
| 31 | Anders LeeFNYI | NYI | 0.43 | 1,401 | 10 | 29%▼20 |
| 32 | Jonathan HuberdeauFFLA | FLA | 0.43 | 1,546 | 11 | 17%▲12 |
| 33 | Aleksander BarkovFFLA | FLA | 0.43 | 1,833 | 13 | 97%▲7 |
| 34 | Evgeni MalkinFPIT | PIT | 0.42 | 1,279 | 9 | 82%▲11 |
| 35 | Nick SchmaltzFCHI/ARI | CHI/ARI | 0.42 | 713 | 5 | 94%▲4.4 |
| 36 | Kyle ConnorFWPG | WPG | 0.42 | 1,579 | 11 | 99%▲1.1 |
| 37 | Mark ScheifeleFWPG | WPG | 0.40 | 1,793 | 12 | 99% |
| 38 | Jack RoslovicFWPG | WPG | 0.40 | 750 | 5 | 34%▲26 |
| 39 | Conor GarlandFARI | ARI | 0.40 | 601 | 4 | 10%▲7.4 |
| 40 | Nathan MacKinnonFCOL | COL | 0.40 | 1,812 | 12 | 100%▲0.9 |
| 41 | Mika ZibanejadFNYR | NYR | 0.39 | 1,686 | 11 | 98%▲1.4 |
| 42 | Kyle OkposoFBUF | BUF | 0.39 | 1,075 | 7 | — |
| 43 | Gabriel LandeskogFCOL | COL | 0.39 | 1,544 | 10 | 50%▲32 |
| 44 | Alex ChiassonFEDM | EDM | 0.39 | 1,239 | 8 | — |
| 45 | Brad MarchandFBOS | BOS | 0.39 | 1,550 | 10 | 73%▲0.7 |
| 46 | Brad HuntDMIN/VGK | MIN/VGK | 0.38 | 625 | 4 | — |
| 47 | John TavaresFTOR | TOR | 0.38 | 1,565 | 10 | 96%▲9.3 |
| 48 | Justin WilliamsFCAR | CAR | 0.38 | 1,430 | 9 | — |
| 49 | Dustin BrownFLAK | LAK | 0.37 | 1,469 | 9 | — |
| 50 | Micheal FerlandFCAR | CAR | 0.36 | 1,001 | 6 | — |
| 51 | Adam HenriqueFANA | ANA | 0.36 | 1,349 | 8 | 0.5% |
| 52 | Filip ForsbergFNSH | NSH | 0.35 | 1,191 | 7 | 99%▲1.7 |
| 53 | Anthony ManthaFDET | DET | 0.35 | 1,194 | 7 | 52%▲15 |
| 54 | Bobby RyanFOTT | OTT | 0.34 | 1,223 | 7 | — |
| 55 | Colin WilsonFCOL | COL | 0.34 | 882 | 5 | — |
| 56 | Jamie BennFDAL | DAL | 0.34 | 1,422 | 8 | 22%▲18 |
| 57 | Patric HornqvistFPIT | PIT | 0.34 | 1,068 | 6 | — |
| 58 | Evgeny KuznetsovFWSH | WSH | 0.34 | 1,428 | 8 | — |
| 59 | Elias LindholmFCGY | CGY | 0.33 | 1,623 | 9 | 43%▲4.7 |
| 60 | Teuvo TeravainenFCAR | CAR | 0.33 | 1,469 | 8 | 13%▲8.6 |
| 61 | Jordan EberleFNYI | NYI | 0.33 | 1,289 | 7 | 30%▲2.7 |
| 62 | Michael RasmussenFDET | DET | 0.32 | 749 | 4 | 0.1% |
| 63 | Evgenii DadonovFFLA | FLA | 0.32 | 1,506 | 8 | 0.1% |
| 64 | Tyler SeguinFDAL | DAL | 0.32 | 1,701 | 9 | 22%▲19 |
| 65 | Jeff SkinnerFBUF | BUF | 0.32 | 1,518 | 8 | 0.1% |
| 66 | Jonathan ToewsFCHI | CHI | 0.31 | 1,723 | 9 | 0.3% |
| 67 | Cam AtkinsonFCBJ | CBJ | 0.31 | 1,550 | 8 | — |
| 68 | Chris KreiderFNYR | NYR | 0.31 | 1,375 | 7 | 62%▲29 |
| 69 | Jack EichelFBUF | BUF | 0.30 | 1,574 | 8 | 99%▲1.4 |
| 70 | Jason ZuckerFMIN | MIN | 0.30 | 1,383 | 7 | 23%▲17 |
| 71 | Alexander RadulovFDAL | DAL | 0.30 | 1,385 | 7 | — |
| 72 | Connor McDavidFEDM | EDM | 0.30 | 1,781 | 9 | 100%▲1.5 |
| 73 | Henrik BorgstromFFLA | FLA | 0.30 | 600 | 3 | — |
| 74 | Patrick KaneFCHI | CHI | 0.30 | 1,822 | 9 | 80%▲0.9 |
| 75 | Ryan Nugent-HopkinsFEDM | EDM | 0.29 | 1,648 | 8 | 77%▲15 |
| 76 | Eric StaalFMIN | MIN | 0.29 | 1,468 | 7 | — |
| 77 | Dylan StromeFCHI/ARI | CHI/ARI | 0.29 | 1,260 | 6 | 83%▲11 |
| 78 | Rickard RakellFANA | ANA | 0.28 | 1,275 | 6 | 83%▲11 |
| 79 | T.J. OshieFWSH | WSH | 0.28 | 1,284 | 6 | — |
| 80 | Kyle TurrisFNSH | NSH | 0.28 | 863 | 4 | — |
| 81 | Brock BoeserFVAN | VAN | 0.27 | 1,322 | 6 | 64%▼4.5 |
| 82 | Timo MeierFSJS | SJS | 0.27 | 1,324 | 6 | 82%▼8 |
| 83 | William KarlssonFVGK | VGK | 0.27 | 1,545 | 7 | 24%▲20 |
| 84 | Sean CouturierFPHI | PHI | 0.27 | 1,770 | 8 | 9.2%▲7.2 |
| 85 | Nino NiederreiterFMIN/CAR | MIN/CAR | 0.27 | 1,330 | 6 | 4.0%▲3.8 |
| 86 | Thomas VanekFDET | DET | 0.27 | 903 | 4 | — |
| 87 | Tyson JostFCOL | COL | 0.26 | 910 | 4 | 0.0% |
| 88 | Nicklas BackstromFWSH | WSH | 0.26 | 1,596 | 7 | — |
| 89 | Matt DucheneFOTT/CBJ | OTT/CBJ | 0.26 | 1,375 | 6 | 62%▼17 |
| 90 | Colin WhiteFOTT | OTT | 0.26 | 1,150 | 5 | 0.0% |
| 91 | Sam BennettFCGY | CGY | 0.25 | 944 | 4 | 84%▲4.3 |
| 92 | Dylan LarkinFDET | DET | 0.25 | 1,660 | 7 | 96% |
| 93 | Dennis CholowskiDDET | DET | 0.25 | 949 | 4 | 0.0% |
| 94 | David KrejciFBOS | BOS | 0.25 | 1,432 | 6 | — |
| 95 | Bo HorvatFVAN | VAN | 0.25 | 1,709 | 7 | 90%▲1.2 |
| 96 | Pavel ZachaFNJD | NJD | 0.24 | 981 | 4 | 78%▲13 |
| 97 | Wayne SimmondsFPHI/NSH | PHI/NSH | 0.24 | 1,238 | 5 | — |
| 98 | Mathieu PerreaultFWPG | WPG | 0.24 | 1,003 | 4 | — |
| 99 | Logan CoutureFSJS | SJS | 0.24 | 1,506 | 6 | — |
| 100 | Yanni GourdeFTBL | TBL | 0.24 | 1,267 | 5 | 4.9%▲4 |
Minimum sample: 492 minutes (it scales with games played). 308 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.