Counting stats
NHL Power-Play Points per 60 Leaders
2024-25All 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 2024-25: Nikita Kucherov (TBL), 1.63 PPP/60.
Power-Play Points per 60 leaderboard
| # | Player | Team | PPP/60 | PPP | ||
|---|---|---|---|---|---|---|
| 1 | Nikita KucherovFTBL | TBL | 1.63 | 1,653 | 45 | 100% |
| 2 | Patrik LaineFMTL | MTL | 1.53 | 744 | 19 | 9.7%▲9.2 |
| 3 | Martin NecasFCOL | COL | 1.48 | 1,501 | 37 | 100%▲1.8 |
| 4 | Dylan GuentherFUTA | UTA | 1.46 | 1,190 | 29 | 99%▲1.7 |
| 5 | Lucas RaymondFDET | DET | 1.44 | 1,540 | 37 | 96%▲10 |
| 6 | Clayton KellerFUTA | UTA | 1.43 | 1,549 | 37 | 100%▲2.1 |
| 7 | Dylan StromeFWSH | WSH | 1.43 | 1,425 | 34 | 83%▲11 |
| 8 | Matthew TkachukFFLA | FLA | 1.39 | 948 | 22 | 100%▲2.6 |
| 9 | Patrick KaneFDET | DET | 1.34 | 1,295 | 29 | 80%▲0.9 |
| 10 | Jesper BrattFNJD | NJD | 1.33 | 1,535 | 34 | 97%▲11 |
| 11 | Shayne GostisbehereDCAR | CAR | 1.30 | 1,296 | 28 | 96%▲16 |
| 12 | Jack EichelFVGK | VGK | 1.29 | 1,581 | 34 | 99%▲1.4 |
| 13 | Nathan MacKinnonFCOL | COL | 1.27 | 1,800 | 38 | 100%▲0.9 |
| 14 | Nikolaj EhlersFWPG | WPG | 1.27 | 1,090 | 23 | 93%▲7.5 |
| 15 | Leon DraisaitlFEDM | EDM | 1.26 | 1,528 | 32 | 100% |
| 16 | Drake BathersonFOTT | OTT | 1.25 | 1,488 | 31 | 97%▲7.2 |
| 17 | Jack HughesFNJD | NJD | 1.25 | 1,296 | 27 | 100% |
| 18 | Aleksander BarkovFFLA | FLA | 1.24 | 1,357 | 28 | 97%▲7 |
| 19 | Connor McDavidFEDM | EDM | 1.22 | 1,476 | 30 | 100%▲1.5 |
| 20 | Tim StützleFOTT | OTT | 1.22 | 1,625 | 33 | 99%▲0.8 |
| 21 | Brayden PointFTBL | TBL | 1.20 | 1,500 | 30 | 95%▲7.5 |
| 22 | Alex DeBrincatFDET | DET | 1.19 | 1,465 | 29 | 100%▲2.5 |
| 23 | Mark StoneFVGK | VGK | 1.18 | 1,271 | 25 | 93%▲9.6 |
| 24 | Gabriel VilardiFWPG | WPG | 1.16 | 1,288 | 25 | 80%▲7.7 |
| 25 | Matt DucheneFDAL | DAL | 1.15 | 1,406 | 27 | 62%▼17 |
| 26 | Alex OvechkinFWSH | WSH | 1.15 | 1,152 | 22 | 96%▲1.2 |
| 27 | Nico HischierFNJD | NJD | 1.14 | 1,529 | 29 | 97%▲2.3 |
| 28 | Mitch MarnerFTOR | TOR | 1.11 | 1,727 | 32 | 99%▲1.3 |
| 29 | Tomas HertlFVGK | VGK | 1.10 | 1,250 | 23 | 84%▲3.2 |
| 30 | Auston MatthewsFTOR | TOR | 1.09 | 1,372 | 25 | 99% |
| 31 | William NylanderFTOR | TOR | 1.09 | 1,600 | 29 | 99%▼0.8 |
| 32 | Jason ZuckerFBUF | BUF | 1.08 | 1,168 | 21 | 23%▲17 |
| 33 | Sam ReinhartFFLA | FLA | 1.07 | 1,620 | 29 | 99% |
| 34 | Brady TkachukFOTT | OTT | 1.05 | 1,313 | 23 | 100%▲2 |
| 35 | Connor BedardFCHI | CHI | 1.05 | 1,663 | 29 | 98%▲3.6 |
| 36 | Kyle ConnorFWPG | WPG | 1.04 | 1,672 | 29 | 99%▲1.1 |
| 37 | Teuvo TeravainenFCHI | CHI | 1.03 | 1,399 | 24 | 13%▲8.6 |
| 38 | Filip ForsbergFNSH | NSH | 1.02 | 1,527 | 26 | 99%▲1.7 |
| 39 | Cale MakarDCOL | COL | 1.02 | 2,057 | 35 | 100%▲1 |
| 40 | Jake GuentzelFTBL | TBL | 1.01 | 1,599 | 27 | 100% |
| 41 | Kevin FialaFLAK | LAK | 1.00 | 1,500 | 25 | 67%▼8.3 |
| 42 | Quinn HughesDVAN | VAN | 0.99 | 1,750 | 29 | 100% |
| 43 | Sidney CrosbyFPIT | PIT | 0.99 | 1,630 | 27 | 100%▲2.4 |
| 44 | Artemi PanarinFNYR | NYR | 0.99 | 1,575 | 26 | 97%▼1.8 |
| 45 | Nick SuzukiFMTL | MTL | 0.98 | 1,645 | 27 | 100%▲0.5 |
| 46 | Dylan LarkinFDET | DET | 0.98 | 1,646 | 27 | 96% |
| 47 | Jonathan MarchessaultFNSH | NSH | 0.98 | 1,402 | 23 | 24%▼21 |
| 48 | Nick SchmaltzFUTA | UTA | 0.98 | 1,524 | 25 | 94%▲4.4 |
| 49 | Wyatt JohnstonFDAL | DAL | 0.97 | 1,552 | 25 | 100%▲0.9 |
| 50 | J.T. MillerFNYR | NYR | 0.96 | 1,310 | 21 | 92%▲7.7 |
| 51 | Macklin CelebriniFSJS | SJS | 0.95 | 1,385 | 22 | 100%▲1 |
| 52 | Roope HintzFDAL | DAL | 0.93 | 1,284 | 20 | 84%▲7.1 |
| 53 | Mark ScheifeleFWPG | WPG | 0.93 | 1,676 | 26 | 99% |
| 54 | Mikko RantanenFDAL | DAL | 0.93 | 1,742 | 27 | 99%▲0.5 |
| 55 | Andrei SvechnikovFCAR | CAR | 0.93 | 1,232 | 19 | 97%▲8.8 |
| 56 | Jonathan DrouinFCOL | COL | 0.92 | 782 | 12 | 0.5% |
| 57 | Jake SandersonDOTT | OTT | 0.92 | 1,955 | 30 | 99%▲2.9 |
| 58 | Tyler BertuzziFCHI | CHI | 0.91 | 1,312 | 20 | 62%▼3.5 |
| 59 | Kirill KaprizovFMIN | MIN | 0.91 | 921 | 14 | 98%▼0.9 |
| 60 | Logan CooleyFUTA | UTA | 0.90 | 1,340 | 20 | 94%▲9.3 |
| 61 | Brock BoeserFVAN | VAN | 0.88 | 1,362 | 20 | 64%▼4.5 |
| 62 | Jonathan HuberdeauFCGY | CGY | 0.87 | 1,583 | 23 | 17%▲12 |
| 63 | Sebastian AhoFCAR | CAR | 0.87 | 1,588 | 23 | 99%▲1.2 |
| 64 | Michael BuntingFNSH | NSH | 0.86 | 1,180 | 17 | 3.7%▲1 |
| 65 | Victor HedmanDTBL | TBL | 0.86 | 1,823 | 26 | 93%▲11 |
| 66 | Steven StamkosFNSH | NSH | 0.85 | 1,476 | 21 | 94%▼4.2 |
| 67 | Lane HutsonDMTL | MTL | 0.84 | 1,864 | 26 | 99%▲3.1 |
| 68 | Jake DeBruskFVAN | VAN | 0.84 | 1,365 | 19 | 49%▼20 |
| 69 | John TavaresFTOR | TOR | 0.83 | 1,367 | 19 | 96%▲9.3 |
| 70 | David PastrnakFBOS | BOS | 0.83 | 1,655 | 23 | 100%▲1.1 |
| 71 | Nazem KadriFCGY | CGY | 0.83 | 1,587 | 22 | 71%▼9 |
| 72 | Anze KopitarFLAK | LAK | 0.82 | 1,535 | 21 | 0.5% |
| 73 | Robert ThomasFSTL | STL | 0.82 | 1,397 | 19 | 93%▲20 |
| 74 | Ryan Nugent-HopkinsFEDM | EDM | 0.81 | 1,480 | 20 | 77%▲15 |
| 75 | Seth JarvisFCAR | CAR | 0.81 | 1,413 | 19 | 95%▲1.4 |
| 76 | Elias PetterssonFVAN | VAN | 0.80 | 1,194 | 16 | 87%▼5.5 |
| 77 | Evgeni MalkinFPIT | PIT | 0.79 | 1,209 | 16 | 82%▲11 |
| 78 | Matt BoldyFMIN | MIN | 0.79 | 1,664 | 22 | 100% |
| 79 | Jason RobertsonFDAL | DAL | 0.78 | 1,459 | 19 | 100% |
| 80 | Zachary BolducFSTL | STL | 0.78 | 922 | 12 | 21%▲19 |
| 81 | Evan BouchardDEDM | EDM | 0.78 | 1,924 | 25 | 100% |
| 82 | Shea TheodoreDVGK | VGK | 0.77 | 1,473 | 19 | 91%▲28 |
| 83 | JJ PeterkaFBUF | BUF | 0.77 | 1,400 | 18 | 75%▲37 |
| 84 | Bryan RustFPIT | PIT | 0.77 | 1,402 | 18 | 85%▲2.5 |
| 85 | Roman JosiDNSH | NSH | 0.77 | 1,327 | 17 | 98%▼0.5 |
| 86 | Kent JohnsonFCBJ | CBJ | 0.77 | 1,176 | 15 | 30%▲27 |
| 87 | Matvei MichkovFPHI | PHI | 0.76 | 1,335 | 17 | 86%▲23 |
| 88 | Sean MonahanFCBJ | CBJ | 0.76 | 1,027 | 13 | 19%▲13 |
| 89 | Andrei KuzmenkoFLAK | LAK | 0.76 | 1,032 | 13 | 11%▲9.8 |
| 90 | Matt CoronatoFCGY | CGY | 0.75 | 1,354 | 17 | 40%▲6.3 |
| 91 | Pavel DorofeyevFVGK | VGK | 0.75 | 1,355 | 17 | 92%▲1.8 |
| 92 | Mika ZibanejadFNYR | NYR | 0.74 | 1,539 | 19 | 98%▲1.4 |
| 93 | Kirill MarchenkoFCBJ | CBJ | 0.74 | 1,468 | 18 | 98%▲7.4 |
| 94 | Seth JonesDFLA | FLA | 0.73 | 1,552 | 19 | 80%▲32 |
| 95 | Claude GirouxFOTT | OTT | 0.73 | 1,475 | 18 | 30%▲20 |
| 96 | Rickard RakellFPIT | PIT | 0.73 | 1,563 | 19 | 83%▲11 |
| 97 | Stefan NoesenFNJD | NJD | 0.72 | 1,243 | 15 | 0.1% |
| 98 | Cole PerfettiFWPG | WPG | 0.72 | 1,245 | 15 | 37%▲33 |
| 99 | Mikhail SergachevDUTA | UTA | 0.71 | 1,934 | 23 | 98%▲5.2 |
| 100 | Rasmus DahlinDBUF | BUF | 0.71 | 1,769 | 21 | 100%▲1 |
Minimum sample: 510 minutes (it scales with games played). 315 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.
Related leaderboards
- Power-Play PointsTotal power-play points this season, all situations.
- Power-Play Points: forwardsTotal power-play points this season, all situations.
- Power-Play Points: defenseTotal power-play points this season, all situations.
- Power-Play Points: last 10Total power-play points over the player's last 10 games.