Counting stats
NHL Power-Play Points per 60 Leaders
2022-23All situationsThrough 85 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 2022-23: Connor McDavid (EDM), 2.29 PPP/60.
Power-Play Points per 60 leaderboard
| # | Player | Team | PPP/60 | PPP | ||
|---|---|---|---|---|---|---|
| 1 | Connor McDavidFEDM | EDM | 2.29 | 1,836 | 70 | 100%▲1.5 |
| 2 | Leon DraisaitlFEDM | EDM | 2.14 | 1,739 | 62 | 100% |
| 3 | Ryan Nugent-HopkinsFEDM | EDM | 1.96 | 1,624 | 53 | 77%▲15 |
| 4 | Nikita KucherovFTBL | TBL | 1.82 | 1,651 | 50 | 100% |
| 5 | John TavaresFTOR | TOR | 1.66 | 1,413 | 39 | 96%▲9.3 |
| 6 | Jason RobertsonFDAL | DAL | 1.59 | 1,545 | 41 | 100% |
| 7 | Mika ZibanejadFNYR | NYR | 1.47 | 1,637 | 40 | 98%▲1.4 |
| 8 | Evgeni MalkinFPIT | PIT | 1.42 | 1,524 | 36 | 82%▲11 |
| 9 | Tage ThompsonFBUF | BUF | 1.41 | 1,450 | 34 | 100%▲1.3 |
| 10 | Kirill KaprizovFMIN | MIN | 1.40 | 1,415 | 33 | 98%▼0.9 |
| 11 | Jamie BennFDAL | DAL | 1.39 | 1,294 | 30 | 22%▲18 |
| 12 | David PastrnakFBOS | BOS | 1.38 | 1,604 | 37 | 100%▲1.1 |
| 13 | Artemi PanarinFNYR | NYR | 1.38 | 1,608 | 37 | 97%▼1.8 |
| 14 | Steven StamkosFTBL | TBL | 1.36 | 1,541 | 35 | 94%▼4.2 |
| 15 | Matthew TkachukFFLA | FLA | 1.34 | 1,614 | 36 | 100%▲2.6 |
| 16 | Nathan MacKinnonFCOL | COL | 1.29 | 1,585 | 34 | 100%▲0.9 |
| 17 | Mitch MarnerFTOR | TOR | 1.27 | 1,702 | 36 | 99%▲1.3 |
| 18 | Aleksander BarkovFFLA | FLA | 1.25 | 1,443 | 30 | 97%▲7 |
| 19 | Brad MarchandFBOS | BOS | 1.24 | 1,353 | 28 | 73%▲0.7 |
| 20 | Kevin FialaFLAK | LAK | 1.24 | 1,214 | 25 | 67%▼8.3 |
| 21 | Mikko RantanenFCOL | COL | 1.22 | 1,822 | 37 | 99%▲0.5 |
| 22 | Jack HughesFNJD | NJD | 1.19 | 1,557 | 31 | 100% |
| 23 | Dylan LarkinFDET | DET | 1.19 | 1,564 | 31 | 96% |
| 24 | Alex DeBrincatFOTT | OTT | 1.15 | 1,559 | 30 | 100%▲2.5 |
| 25 | Mats ZuccarelloFMIN | MIN | 1.14 | 1,575 | 30 | 51%▲29 |
| 26 | Calen AddisonDMIN | MIN | 1.14 | 999 | 19 | — |
| 27 | Drake BathersonFOTT | OTT | 1.14 | 1,526 | 29 | 97%▲7.2 |
| 28 | Viktor ArvidssonFLAK | LAK | 1.14 | 1,316 | 25 | 33%▲23 |
| 29 | Brady TkachukFOTT | OTT | 1.14 | 1,528 | 29 | 100%▲2 |
| 30 | Cale MakarDCOL | COL | 1.14 | 1,583 | 30 | 100%▲1 |
| 31 | Auston MatthewsFTOR | TOR | 1.12 | 1,501 | 28 | 99% |
| 32 | Brayden PointFTBL | TBL | 1.12 | 1,613 | 30 | 95%▲7.5 |
| 33 | Joe PavelskiFDAL | DAL | 1.11 | 1,453 | 27 | — |
| 34 | Daniel SprongFSEA | SEA | 1.11 | 754 | 14 | — |
| 35 | Tyson BarrieDNSH | NSH | 1.11 | 1,681 | 31 | — |
| 36 | Mathew BarzalFNYI | NYI | 1.11 | 1,086 | 20 | 84%▲11 |
| 37 | William NylanderFTOR | TOR | 1.10 | 1,520 | 28 | 99%▼0.8 |
| 38 | Tyler ToffoliFCGY | CGY | 1.10 | 1,362 | 25 | 38%▼18 |
| 39 | Arthur KaliyevFLAK | LAK | 1.10 | 654 | 12 | — |
| 40 | J.T. MillerFVAN | VAN | 1.07 | 1,675 | 30 | 92%▲7.7 |
| 41 | Matt BoldyFMIN | MIN | 1.04 | 1,498 | 26 | 100% |
| 42 | Andre BurakovskyFSEA | SEA | 1.04 | 811 | 14 | 5.6%▲5.4 |
| 43 | Kyle ConnorFWPG | WPG | 1.03 | 1,683 | 29 | 99%▲1.1 |
| 44 | Martin NecasFCAR | CAR | 1.03 | 1,510 | 26 | 100%▲1.8 |
| 45 | Pavel BuchnevichFSTL | STL | 1.03 | 1,226 | 21 | 36%▲7.6 |
| 46 | Pierre-Luc DuboisFWPG | WPG | 1.02 | 1,347 | 23 | 42%▲33 |
| 47 | Nikolaj EhlersFWPG | WPG | 1.02 | 704 | 12 | 93%▲7.5 |
| 48 | Quinn HughesDVAN | VAN | 1.02 | 2,002 | 34 | 100% |
| 49 | Alex OvechkinFWSH | WSH | 1.02 | 1,475 | 25 | 96%▲1.2 |
| 50 | Miro HeiskanenDDAL | DAL | 1.01 | 2,014 | 34 | 99%▲4.3 |
| 51 | Tim StützleFOTT | OTT | 1.01 | 1,659 | 28 | 99%▲0.8 |
| 52 | Nicklas BackstromFWSH | WSH | 1.00 | 658 | 11 | — |
| 53 | Brandon MontourDFLA | FLA | 0.99 | 1,930 | 32 | 83%▲10 |
| 54 | Roope HintzFDAL | DAL | 0.98 | 1,282 | 21 | 84%▲7.1 |
| 55 | Sidney CrosbyFPIT | PIT | 0.98 | 1,652 | 27 | 100%▲2.4 |
| 56 | Zach HymanFEDM | EDM | 0.98 | 1,592 | 26 | 98%▼1.8 |
| 57 | Jordan KyrouFSTL | STL | 0.97 | 1,422 | 23 | 80%▲3.7 |
| 58 | Tommy NovakFNSH | NSH | 0.96 | 747 | 12 | 11%▲9.1 |
| 59 | Sam ReinhartFFLA | FLA | 0.96 | 1,622 | 26 | 99% |
| 60 | Rasmus DahlinDBUF | BUF | 0.95 | 2,012 | 32 | 100%▲1 |
| 61 | David PerronFDET | DET | 0.95 | 1,387 | 22 | 0.2% |
| 62 | Dougie HamiltonDNJD | NJD | 0.94 | 1,786 | 28 | 84%▲12 |
| 63 | Patrick KaneFNYR | NYR | 0.94 | 1,410 | 22 | 80%▲0.9 |
| 64 | Stefan NoesenFCAR | CAR | 0.94 | 962 | 15 | 0.1% |
| 65 | Robert ThomasFSTL | STL | 0.93 | 1,412 | 22 | 93%▲20 |
| 66 | Claude GirouxFOTT | OTT | 0.93 | 1,541 | 24 | 30%▲20 |
| 67 | Dylan StromeFWSH | WSH | 0.93 | 1,352 | 21 | 83%▲11 |
| 68 | Joel Eriksson EkFMIN | MIN | 0.93 | 1,482 | 23 | 82%▲10 |
| 69 | Johnny GaudreauFCBJ | CBJ | 0.93 | 1,553 | 24 | — |
| 70 | Jesper BrattFNJD | NJD | 0.93 | 1,424 | 22 | 97%▲11 |
| 71 | Jeff SkinnerFBUF | BUF | 0.92 | 1,374 | 21 | 0.1% |
| 72 | Artturi LehkonenFCOL | COL | 0.92 | 1,309 | 20 | 57%▲40 |
| 73 | Patrik LaineFCBJ | CBJ | 0.91 | 1,052 | 16 | 9.7%▲9.2 |
| 74 | Timo MeierFNJD | NJD | 0.91 | 1,512 | 23 | 82%▼8 |
| 75 | Kirby DachFMTL | MTL | 0.89 | 1,073 | 16 | 12%▲12 |
| 76 | Valeri NichushkinFCOL | COL | 0.89 | 1,074 | 16 | 60% |
| 77 | Filip ForsbergFNSH | NSH | 0.89 | 874 | 13 | 99%▲1.7 |
| 78 | Lucas RaymondFDET | DET | 0.89 | 1,286 | 19 | 96%▲10 |
| 79 | Jake GuentzelFPIT | PIT | 0.88 | 1,569 | 23 | 100% |
| 80 | Elias PetterssonFVAN | VAN | 0.88 | 1,644 | 24 | 87%▼5.5 |
| 81 | Tomas HertlFSJS | SJS | 0.87 | 1,523 | 22 | 84%▲3.2 |
| 82 | Mikhail SergachevDTBL | TBL | 0.86 | 1,881 | 27 | 98%▲5.2 |
| 83 | Josh MorrisseyDWPG | WPG | 0.86 | 1,890 | 27 | 99%▲3.2 |
| 84 | Roman JosiDNSH | NSH | 0.85 | 1,686 | 24 | 98%▼0.5 |
| 85 | Alex TuchFBUF | BUF | 0.85 | 1,417 | 20 | 94%▼5.5 |
| 86 | Elias LindholmFCGY | CGY | 0.84 | 1,492 | 21 | 43%▲4.7 |
| 87 | Dominik KubalikFDET | DET | 0.84 | 1,208 | 17 | — |
| 88 | Adam FoxDNYR | NYR | 0.84 | 1,999 | 28 | 99%▲6.8 |
| 89 | Patrice BergeronFBOS | BOS | 0.84 | 1,357 | 19 | — |
| 90 | Rickard RakellFPIT | PIT | 0.83 | 1,512 | 21 | 83%▲11 |
| 91 | Andrei SvechnikovFCAR | CAR | 0.83 | 1,155 | 16 | 97%▲8.8 |
| 92 | Andrei KuzmenkoFVAN | VAN | 0.82 | 1,316 | 18 | 11%▲9.8 |
| 93 | Adrian KempeFLAK | LAK | 0.82 | 1,538 | 21 | 97%▼0.6 |
| 94 | Marcus JohanssonFMIN | MIN | 0.82 | 1,319 | 18 | 0.7% |
| 95 | Bo HorvatFNYI | NYI | 0.81 | 1,632 | 22 | 90%▲1.2 |
| 96 | Dylan CozensFBUF | BUF | 0.81 | 1,336 | 18 | 90%▲3.9 |
| 97 | Nazem KadriFCGY | CGY | 0.81 | 1,411 | 19 | 71%▼9 |
| 98 | Max DomiFDAL | DAL | 0.80 | 1,422 | 19 | 5.8%▲4.6 |
| 99 | Phillip DanaultFLAK | LAK | 0.80 | 1,503 | 20 | 4.9%▲4.5 |
| 100 | Mark ScheifeleFWPG | WPG | 0.80 | 1,659 | 22 | 99% |
Minimum sample: 510 minutes (it scales with games played). 338 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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