Counting stats
NHL Power-Play Points per 60 Leaders
2021-22All 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 2021-22: Nikita Kucherov (TBL), 1.92 PPP/60.
Power-Play Points per 60 leaderboard
| # | Player | Team | PPP/60 | PPP | ||
|---|---|---|---|---|---|---|
| 1 | Nikita KucherovFTBL | TBL | 1.92 | 939 | 30 | 100% |
| 2 | Evgeni MalkinFPIT | PIT | 1.60 | 752 | 20 | 82%▲11 |
| 3 | Artemi PanarinFNYR | NYR | 1.50 | 1,441 | 36 | 97%▼1.8 |
| 4 | Connor McDavidFEDM | EDM | 1.50 | 1,765 | 44 | 100%▲1.5 |
| 5 | Jonathan HuberdeauFFLA | FLA | 1.47 | 1,554 | 38 | 17%▲12 |
| 6 | Steven StamkosFTBL | TBL | 1.40 | 1,497 | 35 | 94%▼4.2 |
| 7 | J.T. MillerFVAN | VAN | 1.39 | 1,686 | 39 | 92%▲7.7 |
| 8 | Chris KreiderFNYR | NYR | 1.38 | 1,517 | 35 | 62%▲29 |
| 9 | Leon DraisaitlFEDM | EDM | 1.38 | 1,788 | 41 | 100% |
| 10 | Mikko RantanenFCOL | COL | 1.37 | 1,574 | 36 | 99%▲0.5 |
| 11 | David PerronFSTL | STL | 1.37 | 1,138 | 26 | 0.2% |
| 12 | Teuvo TeravainenFCAR | CAR | 1.36 | 1,363 | 31 | 13%▲8.6 |
| 13 | Sam ReinhartFFLA | FLA | 1.34 | 1,385 | 31 | 99% |
| 14 | Sidney CrosbyFPIT | PIT | 1.31 | 1,378 | 30 | 100%▲2.4 |
| 15 | Filip ForsbergFNSH | NSH | 1.30 | 1,249 | 27 | 99%▲1.7 |
| 16 | Mats ZuccarelloFMIN | MIN | 1.29 | 1,301 | 28 | 51%▲29 |
| 17 | Nazem KadriFCOL | COL | 1.27 | 1,366 | 29 | 71%▼9 |
| 18 | William NylanderFTOR | TOR | 1.26 | 1,480 | 31 | 99%▼0.8 |
| 19 | Brad MarchandFBOS | BOS | 1.20 | 1,347 | 27 | 73%▲0.7 |
| 20 | Kirill KaprizovFMIN | MIN | 1.20 | 1,548 | 31 | 98%▼0.9 |
| 21 | Nathan MacKinnonFCOL | COL | 1.18 | 1,369 | 27 | 100%▲0.9 |
| 22 | Matt DucheneFNSH | NSH | 1.17 | 1,483 | 29 | 62%▼17 |
| 23 | David PastrnakFBOS | BOS | 1.16 | 1,340 | 26 | 100%▲1.1 |
| 24 | Aleksander BarkovFFLA | FLA | 1.15 | 1,360 | 26 | 97%▲7 |
| 25 | Matthew TkachukFCGY | CGY | 1.14 | 1,468 | 28 | 100%▲2.6 |
| 26 | Anthony DuclairFFLA | FLA | 1.14 | 1,110 | 21 | 3.3%▲3 |
| 27 | Ryan Nugent-HopkinsFEDM | EDM | 1.13 | 1,217 | 23 | 77%▲15 |
| 28 | Elias PetterssonFVAN | VAN | 1.13 | 1,488 | 28 | 87%▼5.5 |
| 29 | Josh NorrisFOTT | OTT | 1.13 | 1,226 | 23 | 39%▲32 |
| 30 | Bryan RustFPIT | PIT | 1.12 | 1,126 | 21 | 85%▲2.5 |
| 31 | Auston MatthewsFTOR | TOR | 1.12 | 1,504 | 28 | 99% |
| 32 | Victor HedmanDTBL | TBL | 1.11 | 2,056 | 38 | 93%▲11 |
| 33 | Ryan JohansenFNSH | NSH | 1.10 | 1,309 | 24 | — |
| 34 | Alex OvechkinFWSH | WSH | 1.10 | 1,584 | 29 | 96%▲1.2 |
| 35 | Patrick KaneFCHI | CHI | 1.09 | 1,702 | 31 | 80%▲0.9 |
| 36 | John TavaresFTOR | TOR | 1.09 | 1,428 | 26 | 96%▲9.3 |
| 37 | Jakub VoracekFCBJ | CBJ | 1.09 | 1,379 | 25 | — |
| 38 | Roman JosiDNSH | NSH | 1.09 | 2,044 | 37 | 98%▼0.5 |
| 39 | Patrice BergeronFBOS | BOS | 1.09 | 1,326 | 24 | — |
| 40 | Sebastian AhoFCAR | CAR | 1.08 | 1,497 | 27 | 99%▲1.2 |
| 41 | Tim StützleFOTT | OTT | 1.07 | 1,455 | 26 | 99%▲0.8 |
| 42 | Max PaciorettyFVGK | VGK | 1.06 | 678 | 12 | — |
| 43 | Adam FoxDNYR | NYR | 1.06 | 1,865 | 33 | 99%▲6.8 |
| 44 | Mika ZibanejadFNYR | NYR | 1.06 | 1,591 | 28 | 98%▲1.4 |
| 45 | Vladimir TarasenkoFSTL | STL | 1.04 | 1,268 | 22 | 10%▲1 |
| 46 | Cale MakarDCOL | COL | 1.03 | 1,976 | 34 | 100%▲1 |
| 47 | Mikael GranlundFNSH | NSH | 1.03 | 1,633 | 28 | 52%▼12 |
| 48 | Brayden PointFTBL | TBL | 1.03 | 1,284 | 22 | 95%▲7.5 |
| 49 | Nicklas BackstromFWSH | WSH | 1.02 | 822 | 14 | — |
| 50 | Evgeny KuznetsovFWSH | WSH | 1.01 | 1,602 | 27 | — |
| 51 | Quinn HughesDVAN | VAN | 1.00 | 1,919 | 32 | 100% |
| 52 | Roope HintzFDAL | DAL | 1.00 | 1,444 | 24 | 84%▲7.1 |
| 53 | Joe PavelskiFDAL | DAL | 0.99 | 1,515 | 25 | — |
| 54 | Alex DeBrincatFCHI | CHI | 0.98 | 1,710 | 28 | 100%▲2.5 |
| 55 | Kyle ConnorFWPG | WPG | 0.98 | 1,720 | 28 | 99%▲1.1 |
| 56 | Claude GirouxFFLA | FLA | 0.96 | 1,430 | 23 | 30%▲20 |
| 57 | Drake BathersonFOTT | OTT | 0.96 | 871 | 14 | 97%▲7.2 |
| 58 | Mitch MarnerFTOR | TOR | 0.96 | 1,504 | 24 | 99%▲1.3 |
| 59 | Johnny GaudreauFCGY | CGY | 0.95 | 1,523 | 24 | — |
| 60 | Blake WheelerFWPG | WPG | 0.94 | 1,270 | 20 | — |
| 61 | Jason RobertsonFDAL | DAL | 0.94 | 1,340 | 21 | 100% |
| 62 | Jordan KyrouFSTL | STL | 0.93 | 1,227 | 19 | 80%▲3.7 |
| 63 | Brayden SchennFSTL | STL | 0.93 | 1,103 | 17 | 28%▲7.8 |
| 64 | Mathew BarzalFNYI | NYI | 0.91 | 1,315 | 20 | 84%▲11 |
| 65 | Tyson BarrieDEDM | EDM | 0.91 | 1,384 | 21 | — |
| 66 | Tony DeAngeloDCAR | CAR | 0.90 | 1,268 | 19 | 24%▲18 |
| 67 | Jonathan MarchessaultFVGK | VGK | 0.90 | 1,335 | 20 | 24%▼21 |
| 68 | Andrei SvechnikovFCAR | CAR | 0.89 | 1,346 | 20 | 97%▲8.8 |
| 69 | Jack HughesFNJD | NJD | 0.88 | 959 | 14 | 100% |
| 70 | Gabriel LandeskogFCOL | COL | 0.87 | 1,036 | 15 | 50%▲32 |
| 71 | Torey KrugDSTL | STL | 0.87 | 1,316 | 19 | 0.0% |
| 72 | Jake GuentzelFPIT | PIT | 0.86 | 1,527 | 22 | 100% |
| 73 | Jared McCannFSEA | SEA | 0.85 | 1,194 | 17 | 72%▲1.9 |
| 74 | Pavel BuchnevichFSTL | STL | 0.85 | 1,336 | 19 | 36%▲7.6 |
| 75 | Sean MonahanFCGY | CGY | 0.85 | 914 | 13 | 19%▲13 |
| 76 | Bo HorvatFVAN | VAN | 0.83 | 1,366 | 19 | 90%▲1.2 |
| 77 | Matt BoldyFMIN | MIN | 0.83 | 723 | 10 | 100% |
| 78 | Jesper BrattFNJD | NJD | 0.82 | 1,325 | 18 | 97%▲11 |
| 79 | John CarlsonDWSH | WSH | 0.81 | 1,857 | 25 | 99%▲2.4 |
| 80 | Mark ScheifeleFWPG | WPG | 0.81 | 1,416 | 19 | 99% |
| 81 | Dylan StromeFCHI | CHI | 0.80 | 1,203 | 16 | 83%▲11 |
| 82 | Patrik LaineFCBJ | CBJ | 0.80 | 1,054 | 14 | 9.7%▲9.2 |
| 83 | Tyler ToffoliFCGY | CGY | 0.80 | 1,206 | 16 | 38%▼18 |
| 84 | Oliver BjorkstrandFCBJ | CBJ | 0.79 | 1,436 | 19 | 20% |
| 85 | Aaron EkbladDFLA | FLA | 0.79 | 1,520 | 20 | 50%▲34 |
| 86 | Jason SpezzaFTOR | TOR | 0.79 | 763 | 10 | — |
| 87 | T.J. OshieFWSH | WSH | 0.78 | 768 | 10 | — |
| 88 | Drew DoughtyDLAK | LAK | 0.78 | 1,004 | 13 | 22%▲12 |
| 89 | Brock BoeserFVAN | VAN | 0.77 | 1,321 | 17 | 64%▼4.5 |
| 90 | Alex ChiassonFVAN | VAN | 0.77 | 779 | 10 | — |
| 91 | Noah DobsonDNYI | NYI | 0.77 | 1,717 | 22 | 98%▼1.2 |
| 92 | Trevor ZegrasFANA | ANA | 0.76 | 1,343 | 17 | 86%▲18 |
| 93 | Chris WidemanDMTL | MTL | 0.76 | 952 | 12 | — |
| 94 | Anze KopitarFLAK | LAK | 0.75 | 1,682 | 21 | 0.5% |
| 95 | Pierre-Luc DuboisFWPG | WPG | 0.74 | 1,533 | 19 | 42%▲33 |
| 96 | Timo MeierFSJS | SJS | 0.73 | 1,475 | 18 | 82%▼8 |
| 97 | John KlingbergDDAL | DAL | 0.73 | 1,644 | 20 | 0.2% |
| 98 | Jack EichelFVGK | VGK | 0.73 | 659 | 8 | 99%▲1.4 |
| 99 | Lucas RaymondFDET | DET | 0.73 | 1,489 | 18 | 96%▲10 |
| 100 | Taylor HallFBOS | BOS | 0.72 | 1,329 | 16 | 28%▲20 |
Minimum sample: 492 minutes (it scales with games played). 379 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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