Counting stats
NHL Power-Play Points per 60 Leaders
2017-18All situationsThrough 82 team games
This board ranks skaters by power-play points per 60 minutes of ice time in all situations, so a fourth-liner who plays 9 minutes is compared fairly with a top-pair defenseman who plays 25. Players under the minimum-minutes cutoff are hidden.
Power-play points are goals and assists scored with the man advantage. They belong almost entirely to first-unit (PP1) players, so the board doubles as a map of who runs each power play. Rates surface low-minute players who already produce; they are the ones to grab when an injury opens up ice time.
Leader in 2017-18: Phil Kessel (PIT), 1.64 PPP/60.
Power-Play Points per 60 leaderboard
| # | Player | Team | PPP/60 | PPP | ||
|---|---|---|---|---|---|---|
| 1 | Phil KesselFPIT | PIT | 1.64 | 1,532 | 42 | — |
| 2 | Evgeni MalkinFPIT | PIT | 1.54 | 1,481 | 38 | 82%▲11 |
| 3 | Taylor HallFNJD | NJD | 1.53 | 1,455 | 37 | 28%▲20 |
| 4 | Blake WheelerFWPG | WPG | 1.46 | 1,641 | 40 | — |
| 5 | Patrik LaineFWPG | WPG | 1.38 | 1,351 | 31 | 9.7%▲9.2 |
| 6 | Josh BaileyFNYI | NYI | 1.37 | 1,359 | 31 | — |
| 7 | Mikko RantanenFCOL | COL | 1.37 | 1,536 | 35 | 99%▲0.5 |
| 8 | Nikita KucherovFTBL | TBL | 1.36 | 1,586 | 36 | 100% |
| 9 | Steven StamkosFTBL | TBL | 1.35 | 1,464 | 33 | 94%▼4.2 |
| 10 | Sidney CrosbyFPIT | PIT | 1.34 | 1,697 | 38 | 100%▲2.4 |
| 11 | Nathan MacKinnonFCOL | COL | 1.30 | 1,473 | 32 | 100%▲0.9 |
| 12 | Kyle PalmieriFNJD | NJD | 1.29 | 1,073 | 23 | 19%▲10 |
| 13 | Jakub VoracekFPHI | PHI | 1.28 | 1,595 | 34 | — |
| 14 | Brock BoeserFVAN | VAN | 1.27 | 1,085 | 23 | 64%▼4.5 |
| 15 | Claude GirouxFPHI | PHI | 1.26 | 1,670 | 35 | 30%▲20 |
| 16 | Joe ThorntonFSJS | SJS | 1.25 | 862 | 18 | — |
| 17 | Mitch MarnerFTOR | TOR | 1.21 | 1,344 | 27 | 99%▲1.3 |
| 18 | Shayne GostisbehereDPHI | PHI | 1.18 | 1,674 | 33 | 96%▲16 |
| 19 | Evgeny KuznetsovFWSH | WSH | 1.17 | 1,486 | 29 | — |
| 20 | Tyson BarrieDCOL | COL | 1.17 | 1,543 | 30 | — |
| 21 | Daniel SedinFVAN | VAN | 1.12 | 1,237 | 23 | — |
| 22 | Mathew BarzalFNYI | NYI | 1.11 | 1,457 | 27 | 84%▲11 |
| 23 | John TavaresFNYI | NYI | 1.10 | 1,634 | 30 | 96%▲9.3 |
| 24 | Alex OvechkinFWSH | WSH | 1.09 | 1,652 | 30 | 96%▲1.2 |
| 25 | Patric HornqvistFPIT | PIT | 1.09 | 1,213 | 22 | — |
| 26 | Alex GalchenyukFMTL | MTL | 1.08 | 1,331 | 24 | — |
| 27 | Filip ForsbergFNSH | NSH | 1.08 | 1,171 | 21 | 99%▲1.7 |
| 28 | Will ButcherDNJD | NJD | 1.06 | 1,301 | 23 | — |
| 29 | David PastrnakFBOS | BOS | 1.06 | 1,473 | 26 | 100%▲1.1 |
| 30 | Brad MarchandFBOS | BOS | 1.03 | 1,341 | 23 | 73%▲0.7 |
| 31 | Patrice BergeronFBOS | BOS | 1.01 | 1,244 | 21 | — |
| 32 | Kyle TurrisFNSH | NSH | 1.00 | 1,263 | 21 | — |
| 33 | James van RiemsdykFTOR | TOR | 0.99 | 1,206 | 20 | 0.3% |
| 34 | Mika ZibanejadFNYR | NYR | 0.97 | 1,293 | 21 | 98%▲1.4 |
| 35 | Jonathan DrouinFMTL | MTL | 0.97 | 1,355 | 22 | 0.5% |
| 36 | Kyle OkposoFBUF | BUF | 0.97 | 1,294 | 21 | — |
| 37 | Alexander KerfootFCOL | COL | 0.96 | 1,062 | 17 | 3.2%▲3.1 |
| 38 | John CarlsonDWSH | WSH | 0.94 | 2,032 | 32 | 99%▲2.4 |
| 39 | Nicklas BackstromFWSH | WSH | 0.94 | 1,593 | 25 | — |
| 40 | Anders LeeFNYI | NYI | 0.93 | 1,416 | 22 | 29%▼20 |
| 41 | Torey KrugDBOS | BOS | 0.93 | 1,551 | 24 | 0.0% |
| 42 | Johnny GaudreauFCGY | CGY | 0.93 | 1,554 | 24 | — |
| 43 | Kevin LabancFSJS | SJS | 0.92 | 1,105 | 17 | — |
| 44 | Pavel BuchnevichFNYR | NYR | 0.92 | 1,111 | 17 | 36%▲7.6 |
| 45 | Morgan RiellyDTOR | TOR | 0.91 | 1,642 | 25 | 76%▼5.1 |
| 46 | Tyler SeguinFDAL | DAL | 0.91 | 1,715 | 26 | 22%▲19 |
| 47 | Sam ReinhartFBUF | BUF | 0.90 | 1,402 | 21 | 99% |
| 48 | Jack EichelFBUF | BUF | 0.89 | 1,350 | 20 | 99%▲1.4 |
| 49 | Brad HuntDVGK | VGK | 0.88 | 749 | 11 | — |
| 50 | Joe PavelskiFSJS | SJS | 0.87 | 1,579 | 23 | — |
| 51 | Logan CoutureFSJS | SJS | 0.87 | 1,447 | 21 | — |
| 52 | Matthew TkachukFCGY | CGY | 0.87 | 1,173 | 17 | 100%▲2.6 |
| 53 | Teuvo TeravainenFCAR | CAR | 0.87 | 1,385 | 20 | 13%▲8.6 |
| 54 | Anze KopitarFLAK | LAK | 0.86 | 1,811 | 26 | 0.5% |
| 55 | Vincent TrocheckFFLA | FLA | 0.86 | 1,752 | 25 | 88%▼5.4 |
| 56 | Nazem KadriFTOR | TOR | 0.85 | 1,341 | 19 | 71%▼9 |
| 57 | Jamie BennFDAL | DAL | 0.85 | 1,625 | 23 | 22%▲18 |
| 58 | Alexander RadulovFDAL | DAL | 0.84 | 1,650 | 23 | — |
| 59 | Mike HoffmanFOTT | OTT | 0.83 | 1,509 | 21 | — |
| 60 | Mathieu PerreaultFWPG | WPG | 0.83 | 1,012 | 14 | — |
| 61 | Sean MonahanFCGY | CGY | 0.82 | 1,382 | 19 | 19%▲13 |
| 62 | Ryan O'ReillyFBUF | BUF | 0.82 | 1,686 | 23 | 84%▲5 |
| 63 | David PerronFVGK | VGK | 0.82 | 1,247 | 17 | 0.2% |
| 64 | Clayton KellerFARI | ARI | 0.81 | 1,483 | 20 | 100%▲2.1 |
| 65 | Henrik SedinFVAN | VAN | 0.80 | 1,275 | 17 | — |
| 66 | Thomas VanekFCBJ | CBJ | 0.80 | 1,127 | 15 | — |
| 67 | Patrick KaneFCHI | CHI | 0.80 | 1,655 | 22 | 80%▲0.9 |
| 68 | Chris KreiderFNYR | NYR | 0.79 | 906 | 12 | 62%▲29 |
| 69 | T.J. OshieFWSH | WSH | 0.79 | 1,362 | 18 | — |
| 70 | Mikhail SergachevDTBL | TBL | 0.79 | 1,213 | 16 | 98%▲5.2 |
| 71 | Mikael GranlundFMIN | MIN | 0.79 | 1,446 | 19 | 52%▼12 |
| 72 | Dustin ByfuglienDWPG | WPG | 0.79 | 1,679 | 22 | — |
| 73 | Victor HedmanDTBL | TBL | 0.78 | 1,991 | 26 | 93%▲11 |
| 74 | Brent BurnsDSJS | SJS | 0.78 | 2,070 | 27 | 50%▼14 |
| 75 | J.T. MillerFTBL | TBL | 0.77 | 1,396 | 18 | 92%▲7.7 |
| 76 | Mark ScheifeleFWPG | WPG | 0.77 | 1,241 | 16 | 99% |
| 77 | Artemi PanarinFCBJ | CBJ | 0.77 | 1,631 | 21 | 97%▼1.8 |
| 78 | Erik HaulaFVGK | VGK | 0.77 | 1,320 | 17 | 12%▲8.7 |
| 79 | Kevin ShattenkirkDNYR | NYR | 0.77 | 933 | 12 | — |
| 80 | Martin FrkFDET | DET | 0.77 | 700 | 9 | — |
| 81 | Brendan GallagherFMTL | MTL | 0.77 | 1,325 | 17 | 3.3%▲2.8 |
| 82 | P.K. SubbanDNSH | NSH | 0.76 | 1,977 | 25 | — |
| 83 | Wayne SimmondsFPHI | PHI | 0.75 | 1,357 | 17 | — |
| 84 | Seth JonesDCBJ | CBJ | 0.75 | 1,919 | 24 | 80%▲32 |
| 85 | Sven AndrighettoFCOL | COL | 0.75 | 724 | 9 | — |
| 86 | Max PaciorettyFMTL | MTL | 0.74 | 1,217 | 15 | — |
| 87 | John KlingbergDDAL | DAL | 0.73 | 1,974 | 24 | 0.2% |
| 88 | Jonathan HuberdeauFFLA | FLA | 0.72 | 1,575 | 19 | 17%▲12 |
| 89 | Rickard RakellFANA | ANA | 0.72 | 1,495 | 18 | 83%▲11 |
| 90 | David KrejciFBOS | BOS | 0.72 | 1,080 | 13 | — |
| 91 | Jeff PetryDMTL | MTL | 0.72 | 1,927 | 23 | 0.1% |
| 92 | Rasmus RistolainenDBUF | BUF | 0.71 | 1,934 | 23 | 8.3%▲7.7 |
| 93 | Brayden SchennFSTL | STL | 0.70 | 1,617 | 19 | 28%▲7.8 |
| 94 | Eric StaalFMIN | MIN | 0.70 | 1,461 | 17 | — |
| 95 | Auston MatthewsFTOR | TOR | 0.69 | 1,124 | 13 | 99% |
| 96 | Vladislav NamestnikovFNYR | NYR | 0.69 | 1,384 | 16 | 0.1% |
| 97 | Craig SmithFNSH | NSH | 0.69 | 1,215 | 14 | — |
| 98 | Jason ZuckerFMIN | MIN | 0.69 | 1,391 | 16 | 23%▲17 |
| 99 | Sebastian AhoFCAR | CAR | 0.69 | 1,398 | 16 | 99%▲1.2 |
| 100 | Derek StepanFARI | ARI | 0.68 | 1,580 | 18 | — |
Minimum sample: 492 minutes (it scales with games played). 289 below the minimum are hidden.
How to read it
Power-Play Points per 60 minutes of ice time, all situations.
How reliable is it?
Rates settle faster than totals but need minutes: early in the season, low-minute players swing the most.
About our data sources →Projected next
Our fantasy projections for power-play points: who should lead the coming games.
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