Counting stats
NHL Power-Play Points per 60 Leaders
2023-24All situationsThrough 83 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 2023-24: Nikita Kucherov (TBL), 1.81 PPP/60.
Power-Play Points per 60 leaderboard
| # | Player | Team | PPP/60 | PPP | ||
|---|---|---|---|---|---|---|
| 1 | Nikita KucherovFTBL | TBL | 1.81 | 1,755 | 53 | 100% |
| 2 | Connor McDavidFEDM | EDM | 1.63 | 1,623 | 44 | 100%▲1.5 |
| 3 | Steven StamkosFTBL | TBL | 1.62 | 1,440 | 39 | 94%▼4.2 |
| 4 | Artemi PanarinFNYR | NYR | 1.60 | 1,650 | 44 | 97%▼1.8 |
| 5 | Mats ZuccarelloFMIN | MIN | 1.56 | 1,304 | 34 | 51%▲29 |
| 6 | Kirill KaprizovFMIN | MIN | 1.56 | 1,618 | 42 | 98%▼0.9 |
| 7 | Nathan MacKinnonFCOL | COL | 1.54 | 1,871 | 48 | 100%▲0.9 |
| 8 | J.T. MillerFVAN | VAN | 1.52 | 1,579 | 40 | 92%▲7.7 |
| 9 | Jack HughesFNJD | NJD | 1.43 | 1,300 | 31 | 100% |
| 10 | Leon DraisaitlFEDM | EDM | 1.40 | 1,676 | 39 | 100% |
| 11 | Mikko RantanenFCOL | COL | 1.31 | 1,832 | 40 | 99%▲0.5 |
| 12 | Matthew TkachukFFLA | FLA | 1.29 | 1,491 | 32 | 100%▲2.6 |
| 13 | William NylanderFTOR | TOR | 1.29 | 1,633 | 35 | 99%▼0.8 |
| 14 | David PastrnakFBOS | BOS | 1.29 | 1,634 | 35 | 100%▲1.1 |
| 15 | Filip ForsbergFNSH | NSH | 1.24 | 1,550 | 32 | 99%▲1.7 |
| 16 | Cale MakarDCOL | COL | 1.23 | 1,907 | 39 | 100%▲1 |
| 17 | Sam ReinhartFFLA | FLA | 1.23 | 1,665 | 34 | 99% |
| 18 | Kevin FialaFLAK | LAK | 1.22 | 1,479 | 30 | 67%▼8.3 |
| 19 | Aleksander BarkovFFLA | FLA | 1.21 | 1,433 | 29 | 97%▲7 |
| 20 | Clayton KellerFARI | ARI | 1.20 | 1,501 | 30 | 100%▲2.1 |
| 21 | Brayden PointFTBL | TBL | 1.18 | 1,623 | 32 | 95%▲7.5 |
| 22 | Sebastian AhoFCAR | CAR | 1.18 | 1,531 | 30 | 99%▲1.2 |
| 23 | Adam FoxDNYR | NYR | 1.17 | 1,688 | 33 | 99%▲6.8 |
| 24 | Mika ZibanejadFNYR | NYR | 1.16 | 1,599 | 31 | 98%▲1.4 |
| 25 | Quinn HughesDVAN | VAN | 1.16 | 2,024 | 39 | 100% |
| 26 | Elias PetterssonFVAN | VAN | 1.15 | 1,611 | 31 | 87%▼5.5 |
| 27 | Oliver BjorkstrandFSEA | SEA | 1.13 | 1,327 | 25 | 20% |
| 28 | Chris KreiderFNYR | NYR | 1.13 | 1,540 | 29 | 62%▲29 |
| 29 | Evan BouchardDEDM | EDM | 1.13 | 1,863 | 35 | 100% |
| 30 | Shayne GostisbehereDDET | DET | 1.13 | 1,546 | 29 | 96%▲16 |
| 31 | Jason RobertsonFDAL | DAL | 1.12 | 1,503 | 28 | 100% |
| 32 | Adrian KempeFLAK | LAK | 1.11 | 1,458 | 27 | 97%▼0.6 |
| 33 | Alex OvechkinFWSH | WSH | 1.11 | 1,518 | 28 | 96%▲1.2 |
| 34 | Mitch MarnerFTOR | TOR | 1.10 | 1,468 | 27 | 99%▲1.3 |
| 35 | Matt BoldyFMIN | MIN | 1.10 | 1,418 | 26 | 100% |
| 36 | Dylan LarkinFDET | DET | 1.09 | 1,372 | 25 | 96% |
| 37 | Valeri NichushkinFCOL | COL | 1.09 | 1,153 | 21 | 60% |
| 38 | Nick SuzukiFMTL | MTL | 1.07 | 1,744 | 31 | 100%▲0.5 |
| 39 | Dylan GuentherFARI | ARI | 1.06 | 733 | 13 | 99%▲1.7 |
| 40 | Jamie BennFDAL | DAL | 1.06 | 1,240 | 22 | 22%▲18 |
| 41 | Andrei KuzmenkoFCGY | CGY | 1.06 | 1,072 | 19 | 11%▲9.8 |
| 42 | Gabriel VilardiFWPG | WPG | 1.05 | 799 | 14 | 80%▲7.7 |
| 43 | Ryan O'ReillyFNSH | NSH | 1.04 | 1,621 | 28 | 84%▲5 |
| 44 | Jared McCannFSEA | SEA | 1.03 | 1,341 | 23 | 72%▲1.9 |
| 45 | Auston MatthewsFTOR | TOR | 1.02 | 1,698 | 29 | 99% |
| 46 | Jesper BrattFNJD | NJD | 1.02 | 1,583 | 27 | 97%▲11 |
| 47 | Jack EichelFVGK | VGK | 1.02 | 1,293 | 22 | 99%▲1.4 |
| 48 | Gustav NyquistFNSH | NSH | 1.00 | 1,437 | 24 | 0.0% |
| 49 | Brad MarchandFBOS | BOS | 1.00 | 1,566 | 26 | 73%▲0.7 |
| 50 | Brock BoeserFVAN | VAN | 1.00 | 1,507 | 25 | 64%▼4.5 |
| 51 | Ryan Nugent-HopkinsFEDM | EDM | 0.99 | 1,570 | 26 | 77%▲15 |
| 52 | Michael BuntingFPIT | PIT | 0.99 | 1,271 | 21 | 3.7%▲1 |
| 53 | Jake GuentzelFCAR | CAR | 0.98 | 1,341 | 22 | 100% |
| 54 | Roman JosiDNSH | NSH | 0.98 | 2,020 | 33 | 98%▼0.5 |
| 55 | Patrick KaneFDET | DET | 0.98 | 919 | 15 | 80%▲0.9 |
| 56 | Max PaciorettyFWSH | WSH | 0.97 | 678 | 11 | — |
| 57 | Victor HedmanDTBL | TBL | 0.96 | 1,935 | 31 | 93%▲11 |
| 58 | Andrei SvechnikovFCAR | CAR | 0.96 | 1,002 | 16 | 97%▲8.8 |
| 59 | Mikael GranlundFSJS | SJS | 0.95 | 1,446 | 23 | 52%▼12 |
| 60 | Robert ThomasFSTL | STL | 0.94 | 1,719 | 27 | 93%▲20 |
| 61 | Connor BedardFCHI | CHI | 0.94 | 1,345 | 21 | 98%▲3.6 |
| 62 | Mathew BarzalFNYI | NYI | 0.93 | 1,611 | 25 | 84%▲11 |
| 63 | Carter VerhaegheFFLA | FLA | 0.92 | 1,365 | 21 | 72% |
| 64 | Tyler JohnsonFCHI | CHI | 0.92 | 1,041 | 16 | — |
| 65 | Joe PavelskiFDAL | DAL | 0.91 | 1,378 | 21 | — |
| 66 | Dylan StromeFWSH | WSH | 0.90 | 1,472 | 22 | 83%▲11 |
| 67 | Drake BathersonFOTT | OTT | 0.89 | 1,490 | 22 | 97%▲7.2 |
| 68 | Nazem KadriFCGY | CGY | 0.87 | 1,511 | 22 | 71%▼9 |
| 69 | Shea TheodoreDVGK | VGK | 0.87 | 1,038 | 15 | 91%▲28 |
| 70 | Anze KopitarFLAK | LAK | 0.87 | 1,592 | 23 | 0.5% |
| 71 | Artturi LehkonenFCOL | COL | 0.87 | 831 | 12 | 57%▲40 |
| 72 | David PerronFDET | DET | 0.86 | 1,188 | 17 | 0.2% |
| 73 | Luke HughesDNJD | NJD | 0.85 | 1,761 | 25 | 84%▲40 |
| 74 | Brady TkachukFOTT | OTT | 0.85 | 1,551 | 22 | 100%▲2 |
| 75 | Kyle PalmieriFNYI | NYI | 0.85 | 1,412 | 20 | 19%▲10 |
| 76 | Kyle ConnorFWPG | WPG | 0.84 | 1,282 | 18 | 99%▲1.1 |
| 77 | Timo MeierFNJD | NJD | 0.84 | 1,215 | 17 | 82%▼8 |
| 78 | John TavaresFTOR | TOR | 0.84 | 1,429 | 20 | 96%▲9.3 |
| 79 | Sean MonahanFWPG | WPG | 0.84 | 1,502 | 21 | 19%▲13 |
| 80 | Jordan KyrouFSTL | STL | 0.84 | 1,503 | 21 | 80%▲3.7 |
| 81 | Sidney CrosbyFPIT | PIT | 0.84 | 1,647 | 23 | 100%▲2.4 |
| 82 | Nick SchmaltzFARI | ARI | 0.83 | 1,515 | 21 | 94%▲4.4 |
| 83 | Roope HintzFDAL | DAL | 0.83 | 1,379 | 19 | 84%▲7.1 |
| 84 | Robby FabbriFDET | DET | 0.82 | 875 | 12 | — |
| 85 | Vincent TrocheckFNYR | NYR | 0.82 | 1,759 | 24 | 88%▼5.4 |
| 86 | Josh NorrisFOTT | OTT | 0.82 | 882 | 12 | 39%▲32 |
| 87 | Jonathan HuberdeauFCGY | CGY | 0.81 | 1,411 | 19 | 17%▲12 |
| 88 | Tyler ToffoliFWPG | WPG | 0.81 | 1,340 | 18 | 38%▼18 |
| 89 | Mike MathesonDMTL | MTL | 0.80 | 2,095 | 28 | 85%▼7.8 |
| 90 | Philipp KurashevFCHI | CHI | 0.80 | 1,426 | 19 | 0.1% |
| 91 | Frank VatranoFANA | ANA | 0.80 | 1,504 | 20 | 6.4%▲6.2 |
| 92 | Joel Eriksson EkFMIN | MIN | 0.80 | 1,581 | 21 | 82%▲10 |
| 93 | Jonathan DrouinFCOL | COL | 0.79 | 1,437 | 19 | 0.5% |
| 94 | Cole CaufieldFMTL | MTL | 0.79 | 1,592 | 21 | 100%▲1.2 |
| 95 | Daniel SprongFDET | DET | 0.79 | 912 | 12 | — |
| 96 | Mark StoneFVGK | VGK | 0.77 | 1,087 | 14 | 93%▲9.6 |
| 97 | Teuvo TeravainenFCAR | CAR | 0.77 | 1,247 | 16 | 13%▲8.6 |
| 98 | Zach HymanFEDM | EDM | 0.77 | 1,560 | 20 | 98%▼1.8 |
| 99 | Brock NelsonFNYI | NYI | 0.77 | 1,483 | 19 | 88%▼3.6 |
| 100 | Tim StützleFOTT | OTT | 0.76 | 1,584 | 20 | 99%▲0.8 |
Minimum sample: 498 minutes (it scales with games played). 308 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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