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NHL Power-Play Goals Leaders: Forwards
2018-19All situationsThrough 82 team games
This board ranks forwards only by power-play goals, so centres and wingers are not mixed with defensemen.
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. For leagues that split positions: the forward slots' view of power-play goals.
Leader in 2018-19: Brayden Point (TBL), 20 PPG.
- Completed seasons use the NHL's official power-play and shorthanded totals.
Power-Play Goals: forwards leaderboard
| # | Player | Team | PPG | GP | Per game | PPA | PPP | G | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Brayden PointFTBL | TBL | 20 | 79 | 0.25 | 15 | 35 | 41 | 95%▲7.5 |
| 2 | Steven StamkosFTBL | TBL | 19 | 82 | 0.23 | 21 | 40 | 45 | 94%▼4.2 |
| 3 | Alex OvechkinFWSH | WSH | 18 | 81 | 0.22 | 10 | 28 | 51 | 96%▲1.2 |
| 4 | Mike HoffmanFFLA | FLA | 17 | 82 | 0.21 | 18 | 35 | 36 | — |
| 5 | David PastrnakFBOS | BOS | 17 | 66 | 0.26 | 16 | 33 | 38 | 100%▲1.1 |
| 6 | Leon DraisaitlFEDM | EDM | 16 | 82 | 0.20 | 13 | 29 | 50 | 100% |
| 7 | Mikko RantanenFCOL | COL | 16 | 74 | 0.22 | 17 | 33 | 31 | 99%▲0.5 |
| 8 | Nikita KucherovFTBL | TBL | 15 | 82 | 0.18 | 33 | 48 | 41 | 100% |
| 9 | Patrik LaineFWPG | WPG | 15 | 82 | 0.18 | 8 | 23 | 30 | 9.7%▲9.2 |
| 10 | Aleksander BarkovFFLA | FLA | 13 | 82 | 0.16 | 18 | 31 | 35 | 97%▲7 |
| 11 | Alex DeBrincatFCHI | CHI | 13 | 82 | 0.16 | 11 | 24 | 41 | 100%▲2.5 |
| 12 | Phil KesselFPIT | PIT | 12 | 82 | 0.15 | 24 | 36 | 27 | — |
| 13 | Mark ScheifeleFWPG | WPG | 12 | 82 | 0.15 | 11 | 23 | 38 | 99% |
| 14 | Nathan MacKinnonFCOL | COL | 12 | 82 | 0.15 | 25 | 37 | 41 | 100%▲0.9 |
| 15 | Sidney CrosbyFPIT | PIT | 12 | 79 | 0.15 | 17 | 29 | 35 | 100%▲2.4 |
| 16 | Sean MonahanFCGY | CGY | 12 | 78 | 0.15 | 11 | 23 | 34 | 19%▲13 |
| 17 | Vladimir TarasenkoFSTL | STL | 12 | 76 | 0.16 | 10 | 22 | 33 | 10%▲1 |
| 18 | Joe PavelskiFSJS | SJS | 12 | 75 | 0.16 | 9 | 21 | 38 | — |
| 19 | Auston MatthewsFTOR | TOR | 12 | 68 | 0.18 | 8 | 20 | 37 | 99% |
| 20 | Jonathan HuberdeauFFLA | FLA | 11 | 82 | 0.13 | 23 | 34 | 30 | 17%▲12 |
| 21 | Mika ZibanejadFNYR | NYR | 11 | 82 | 0.13 | 12 | 23 | 30 | 98%▲1.4 |
| 22 | Kyle ConnorFWPG | WPG | 11 | 82 | 0.13 | 8 | 19 | 34 | 99%▲1.1 |
| 23 | Matthew TkachukFCGY | CGY | 11 | 80 | 0.14 | 13 | 24 | 34 | 100%▲2.6 |
| 24 | Tomas HertlFSJS | SJS | 11 | 77 | 0.14 | 4 | 15 | 35 | 84%▲3.2 |
| 25 | Kyle PalmieriFNJD | NJD | 11 | 74 | 0.15 | 7 | 18 | 27 | 19%▲10 |
| 26 | John TavaresFTOR | TOR | 10 | 82 | 0.12 | 9 | 19 | 47 | 96%▲9.3 |
| 27 | Anders LeeFNYI | NYI | 10 | 82 | 0.12 | 6 | 16 | 28 | 29%▼20 |
| 28 | Brad MarchandFBOS | BOS | 10 | 79 | 0.13 | 24 | 34 | 36 | 73%▲0.7 |
| 29 | Zach PariseFMIN | MIN | 10 | 74 | 0.14 | 6 | 16 | 28 | — |
| 30 | Gabriel LandeskogFCOL | COL | 10 | 73 | 0.14 | 17 | 27 | 34 | 50%▲32 |
| 31 | Elias PetterssonFVAN | VAN | 10 | 71 | 0.14 | 12 | 22 | 28 | 87%▼5.5 |
| 32 | Justin WilliamsFCAR | CAR | 9 | 82 | 0.11 | 5 | 14 | 23 | — |
| 33 | Jonathan ToewsFCHI | CHI | 9 | 82 | 0.11 | 14 | 23 | 35 | 0.3% |
| 34 | Tyler SeguinFDAL | DAL | 9 | 82 | 0.11 | 18 | 27 | 33 | 22%▲19 |
| 35 | Patrick KaneFCHI | CHI | 9 | 81 | 0.11 | 21 | 30 | 44 | 80%▲0.9 |
| 36 | Elias LindholmFCGY | CGY | 9 | 81 | 0.11 | 17 | 26 | 27 | 43%▲4.7 |
| 37 | Connor McDavidFEDM | EDM | 9 | 78 | 0.12 | 24 | 33 | 41 | 100%▲1.5 |
| 38 | Dustin BrownFLAK | LAK | 9 | 72 | 0.13 | 3 | 12 | 22 | — |
| 39 | Alex GalchenyukFARI | ARI | 9 | 72 | 0.13 | 12 | 21 | 19 | — |
| 40 | Evgeni MalkinFPIT | PIT | 9 | 68 | 0.13 | 17 | 26 | 21 | 82%▲11 |
| 41 | Patrice BergeronFBOS | BOS | 9 | 65 | 0.14 | 18 | 27 | 32 | — |
| 42 | Evgenii DadonovFFLA | FLA | 8 | 82 | 0.10 | 9 | 17 | 28 | 0.1% |
| 43 | Adam HenriqueFANA | ANA | 8 | 82 | 0.10 | 5 | 13 | 18 | 0.5% |
| 44 | Jeff SkinnerFBUF | BUF | 8 | 82 | 0.10 | 8 | 16 | 40 | 0.1% |
| 45 | Ryan Nugent-HopkinsFEDM | EDM | 8 | 82 | 0.10 | 18 | 26 | 28 | 77%▲15 |
| 46 | Teuvo TeravainenFCAR | CAR | 8 | 82 | 0.10 | 16 | 24 | 21 | 13%▲8.6 |
| 47 | Cam AtkinsonFCBJ | CBJ | 8 | 80 | 0.10 | 6 | 14 | 41 | — |
| 48 | Sean CouturierFPHI | PHI | 8 | 80 | 0.10 | 9 | 17 | 33 | 9.2%▲7.2 |
| 49 | Jamie BennFDAL | DAL | 8 | 78 | 0.10 | 3 | 11 | 27 | 22%▲18 |
| 50 | Jack EichelFBUF | BUF | 8 | 77 | 0.10 | 18 | 26 | 28 | 99%▲1.4 |
| 51 | Evgeny KuznetsovFWSH | WSH | 8 | 76 | 0.11 | 15 | 23 | 21 | — |
| 52 | Alex ChiassonFEDM | EDM | 8 | 73 | 0.11 | 7 | 15 | 22 | — |
| 53 | Jake DeBruskFBOS | BOS | 8 | 68 | 0.12 | 3 | 11 | 27 | 49%▼20 |
| 54 | James van RiemsdykFPHI | PHI | 8 | 66 | 0.12 | 5 | 13 | 27 | 0.3% |
| 55 | William KarlssonFVGK | VGK | 7 | 82 | 0.09 | 7 | 14 | 24 | 24%▲20 |
| 56 | Bo HorvatFVAN | VAN | 7 | 82 | 0.09 | 11 | 18 | 27 | 90%▲1.2 |
| 57 | Eric StaalFMIN | MIN | 7 | 81 | 0.09 | 8 | 15 | 22 | — |
| 58 | Jason ZuckerFMIN | MIN | 7 | 81 | 0.09 | 7 | 14 | 21 | 23%▲17 |
| 59 | Nicklas BackstromFWSH | WSH | 7 | 80 | 0.09 | 18 | 25 | 22 | — |
| 60 | Chris KreiderFNYR | NYR | 7 | 79 | 0.09 | 5 | 12 | 28 | 62%▲29 |
| 61 | Bobby RyanFOTT | OTT | 7 | 78 | 0.09 | 9 | 16 | 15 | — |
| 62 | Kyle OkposoFBUF | BUF | 7 | 78 | 0.09 | 4 | 11 | 14 | — |
| 63 | Jordan EberleFNYI | NYI | 7 | 78 | 0.09 | 5 | 12 | 19 | 30%▲2.7 |
| 64 | Dylan LarkinFDET | DET | 7 | 76 | 0.09 | 8 | 15 | 32 | 96% |
| 65 | Anthony DuclairFCBJ/OTT | CBJ/OTT | 7 | 74 | 0.09 | 1 | 8 | 19 | 3.3%▲3 |
| 66 | Brian BoyleFNJD/NSH | NJD/NSH | 7 | 73 | 0.10 | 2 | 9 | 18 | — |
| 67 | Alexander RadulovFDAL | DAL | 7 | 70 | 0.10 | 16 | 23 | 29 | — |
| 68 | Anthony ManthaFDET | DET | 7 | 67 | 0.10 | 6 | 13 | 25 | 52%▲15 |
| 69 | Filip ForsbergFNSH | NSH | 7 | 64 | 0.11 | 3 | 10 | 28 | 99%▲1.7 |
| 70 | Pavel BuchnevichFNYR | NYR | 7 | 64 | 0.11 | 5 | 12 | 21 | 36%▲7.6 |
| 71 | David PerronFSTL | STL | 7 | 57 | 0.12 | 7 | 14 | 23 | 0.2% |
| 72 | Ryan O'ReillyFSTL | STL | 6 | 82 | 0.07 | 16 | 22 | 28 | 84%▲5 |
| 73 | Nino NiederreiterFMIN/CAR | MIN/CAR | 6 | 82 | 0.07 | 9 | 15 | 23 | 4.0%▲3.8 |
| 74 | Johnny GaudreauFCGY | CGY | 6 | 82 | 0.07 | 21 | 27 | 36 | — |
| 75 | Jake GuentzelFPIT | PIT | 6 | 82 | 0.07 | 5 | 11 | 40 | 100% |
| 76 | David KrejciFBOS | BOS | 6 | 81 | 0.07 | 10 | 16 | 20 | — |
| 77 | Logan CoutureFSJS | SJS | 6 | 81 | 0.07 | 12 | 18 | 27 | — |
| 78 | Artemi PanarinFCBJ | CBJ | 6 | 79 | 0.08 | 12 | 18 | 28 | 97%▼1.8 |
| 79 | Timo MeierFSJS | SJS | 6 | 78 | 0.08 | 4 | 10 | 30 | 82%▼8 |
| 80 | Dylan StromeFCHI/ARI | CHI/ARI | 6 | 78 | 0.08 | 10 | 16 | 20 | 83%▲11 |
| 81 | Mark StoneFOTT/VGK | OTT/VGK | 6 | 77 | 0.08 | 14 | 20 | 33 | 93%▲9.6 |
| 82 | Matt DucheneFOTT/CBJ | OTT/CBJ | 6 | 73 | 0.08 | 8 | 14 | 31 | 62%▼17 |
| 83 | Micheal FerlandFCAR | CAR | 6 | 71 | 0.08 | 7 | 13 | 17 | — |
| 84 | T.J. OshieFWSH | WSH | 6 | 69 | 0.09 | 8 | 14 | 25 | — |
| 85 | Patric HornqvistFPIT | PIT | 6 | 69 | 0.09 | 6 | 12 | 18 | — |
| 86 | Rickard RakellFANA | ANA | 6 | 69 | 0.09 | 7 | 13 | 18 | 83%▲11 |
| 87 | Brock BoeserFVAN | VAN | 6 | 69 | 0.09 | 9 | 15 | 26 | 64%▼4.5 |
| 88 | Jonathan MarchessaultFVGK | VGK | 5 | 82 | 0.06 | 11 | 16 | 25 | 24%▼21 |
| 89 | Travis ZajacFNJD | NJD | 5 | 80 | 0.06 | 7 | 12 | 19 | — |
| 90 | Brandon SaadFCHI | CHI | 5 | 80 | 0.06 | 1 | 6 | 23 | — |
| 91 | Yanni GourdeFTBL | TBL | 5 | 80 | 0.06 | 4 | 9 | 22 | 4.9%▲4 |
| 92 | Wayne SimmondsFPHI/NSH | PHI/NSH | 5 | 79 | 0.06 | 3 | 8 | 17 | — |
| 93 | Ryan DzingelFOTT/CBJ | OTT/CBJ | 5 | 78 | 0.06 | 6 | 11 | 26 | — |
| 94 | Jack RoslovicFWPG | WPG | 5 | 77 | 0.06 | 2 | 7 | 9 | 34%▲26 |
| 95 | Jeff CarterFLAK | LAK | 5 | 76 | 0.07 | 8 | 13 | 13 | — |
| 96 | Evander KaneFSJS | SJS | 5 | 75 | 0.07 | 6 | 11 | 30 | 5.7%▲0.8 |
| 97 | Colin WhiteFOTT | OTT | 5 | 71 | 0.07 | 3 | 8 | 14 | 0.0% |
| 98 | Colin WilsonFCOL | COL | 5 | 65 | 0.08 | 2 | 7 | 12 | — |
| 99 | Nick SchmaltzFCHI/ARI | CHI/ARI | 5 | 40 | 0.13 | 3 | 8 | 7 | 94%▲4.4 |
| 100 | Patrick MarleauFTOR | TOR | 4 | 82 | 0.05 | 6 | 10 | 16 | — |
How to read it
Goals scored with the man advantage (5-on-4, 5-on-3, 4-on-3).
How reliable is it?
Power-play scoring follows power-play time: the share of a team's PP minutes is far more repeatable than the goal total itself.
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: defenseGoals scored with the man advantage (5-on-4, 5-on-3, 4-on-3).
- Power-Play Goals per 60Power-Play Goals per 60 minutes of ice time, all situations.
- Power-Play AssistsAssists on goals scored with the man advantage.