More skater stats
NHL Power-Play Goals per 60 Leaders
2022-23All situationsThrough 82 team games
This board ranks skaters by power-play goals per 60 minutes of ice time in all situations, so players with different roles are compared fairly. Players under the minimum-minutes cutoff are hidden.
Power-play goals are scored while the team has more skaters on the ice than the opponent. The leaders are the trigger men of first power-play units: the one-timer from the left circle, the net-front tip. Rates surface low-minute players who already produce power-play goals; they gain the most when their ice time grows.
Leader in 2022-23: Leon Draisaitl (EDM), 1.10 PPG/60.
- Completed seasons use the NHL's official power-play and shorthanded totals.
Power-Play Goals per 60 leaderboard
| # | Player | Team | PPG/60 | PPG | ||
|---|---|---|---|---|---|---|
| 1 | Leon DraisaitlFEDM | EDM | 1.10 | 1,739 | 32 | 100% |
| 2 | Tage ThompsonFBUF | BUF | 0.83 | 1,450 | 20 | 100%▲1.3 |
| 3 | John TavaresFTOR | TOR | 0.76 | 1,413 | 18 | 96%▲9.3 |
| 4 | Brayden PointFTBL | TBL | 0.74 | 1,613 | 20 | 95%▲7.5 |
| 5 | Arthur KaliyevFLAK | LAK | 0.73 | 654 | 8 | — |
| 6 | Mika ZibanejadFNYR | NYR | 0.73 | 1,637 | 20 | 98%▲1.4 |
| 7 | Kirill KaprizovFMIN | MIN | 0.72 | 1,415 | 17 | 98%▼0.9 |
| 8 | Connor McDavidFEDM | EDM | 0.69 | 1,836 | 21 | 100%▲1.5 |
| 9 | Timo MeierFSJS/NJD | SJS/NJD | 0.67 | 1,512 | 17 | 82%▼8 |
| 10 | David PastrnakFBOS | BOS | 0.67 | 1,604 | 18 | 100%▲1.1 |
| 11 | Andrei KuzmenkoFVAN | VAN | 0.64 | 1,316 | 14 | 11%▲9.8 |
| 12 | Dylan LarkinFDET | DET | 0.61 | 1,564 | 16 | 96% |
| 13 | Jamie BennFDAL | DAL | 0.60 | 1,294 | 13 | 22%▲18 |
| 14 | Sam ReinhartFFLA | FLA | 0.59 | 1,622 | 16 | 99% |
| 15 | Jonathan ToewsFCHI | CHI | 0.58 | 939 | 9 | 0.3% |
| 16 | Alex OvechkinFWSH | WSH | 0.57 | 1,475 | 14 | 96%▲1.2 |
| 17 | Zach HymanFEDM | EDM | 0.57 | 1,592 | 15 | 98%▼1.8 |
| 18 | Valeri NichushkinFCOL | COL | 0.56 | 1,074 | 10 | 60% |
| 19 | T.J. OshieFWSH | WSH | 0.56 | 970 | 9 | — |
| 20 | Ryan Nugent-HopkinsFEDM | EDM | 0.55 | 1,624 | 15 | 77%▲15 |
| 21 | Drake BathersonFOTT | OTT | 0.55 | 1,526 | 14 | 97%▲7.2 |
| 22 | Nicklas BackstromFWSH | WSH | 0.55 | 658 | 6 | — |
| 23 | Steven StamkosFTBL | TBL | 0.55 | 1,541 | 14 | 94%▼4.2 |
| 24 | Joe PavelskiFDAL | DAL | 0.54 | 1,453 | 13 | — |
| 25 | Matthew TkachukFFLA | FLA | 0.52 | 1,614 | 14 | 100%▲2.6 |
| 26 | Auston MatthewsFTOR | TOR | 0.52 | 1,501 | 13 | 99% |
| 27 | Cole CaufieldFMTL | MTL | 0.51 | 830 | 7 | 100%▲1.2 |
| 28 | Jason RobertsonFDAL | DAL | 0.50 | 1,545 | 13 | 100% |
| 29 | Pierre-Luc DuboisFWPG | WPG | 0.49 | 1,347 | 11 | 42%▲33 |
| 30 | Joel Eriksson EkFMIN | MIN | 0.49 | 1,482 | 12 | 82%▲10 |
| 31 | Daniel SprongFSEA | SEA | 0.48 | 754 | 6 | — |
| 32 | Nazem KadriFCGY | CGY | 0.47 | 1,411 | 11 | 71%▼9 |
| 33 | Jordan KyrouFSTL | STL | 0.46 | 1,422 | 11 | 80%▲3.7 |
| 34 | Patrik LaineFCBJ | CBJ | 0.46 | 1,052 | 8 | 9.7%▲9.2 |
| 35 | Viktor ArvidssonFLAK | LAK | 0.46 | 1,316 | 10 | 33%▲23 |
| 36 | Nathan MacKinnonFCOL | COL | 0.45 | 1,585 | 12 | 100%▲0.9 |
| 37 | Bo HorvatFVAN/NYI | VAN/NYI | 0.44 | 1,632 | 12 | 90%▲1.2 |
| 38 | Tyler ToffoliFCGY | CGY | 0.44 | 1,362 | 10 | 38%▼18 |
| 39 | Kirill MarchenkoFCBJ | CBJ | 0.44 | 955 | 7 | 98%▲7.4 |
| 40 | Alex IafalloFLAK | LAK | 0.44 | 962 | 7 | 4.3%▲3 |
| 41 | Stefan NoesenFCAR | CAR | 0.44 | 962 | 7 | 0.1% |
| 42 | Rickard RakellFPIT | PIT | 0.44 | 1,512 | 11 | 83%▲11 |
| 43 | Mark ScheifeleFWPG | WPG | 0.43 | 1,659 | 12 | 99% |
| 44 | Evgeni MalkinFPIT | PIT | 0.43 | 1,524 | 11 | 82%▲11 |
| 45 | Brady TkachukFOTT | OTT | 0.43 | 1,528 | 11 | 100%▲2 |
| 46 | Adrian KempeFLAK | LAK | 0.43 | 1,538 | 11 | 97%▼0.6 |
| 47 | Mikko RantanenFCOL | COL | 0.43 | 1,822 | 13 | 99%▲0.5 |
| 48 | Alex DeBrincatFOTT | OTT | 0.42 | 1,559 | 11 | 100%▲2.5 |
| 49 | Roope HintzFDAL | DAL | 0.42 | 1,282 | 9 | 84%▲7.1 |
| 50 | Jake GuentzelFPIT | PIT | 0.42 | 1,569 | 11 | 100% |
| 51 | Jonathan MarchessaultFVGK | VGK | 0.41 | 1,303 | 9 | 24%▼21 |
| 52 | Tom WilsonFWSH | WSH | 0.41 | 581 | 4 | 94%▲6.3 |
| 53 | Rafael Harvey-PinardFMTL | MTL | 0.41 | 586 | 4 | — |
| 54 | Elias LindholmFCGY | CGY | 0.40 | 1,492 | 10 | 43%▲4.7 |
| 55 | Tommy NovakFNSH | NSH | 0.40 | 747 | 5 | 11%▲9.1 |
| 56 | Brad MarchandFBOS | BOS | 0.40 | 1,353 | 9 | 73%▲0.7 |
| 57 | Patrice BergeronFBOS | BOS | 0.40 | 1,357 | 9 | — |
| 58 | Derick BrassardFOTT | OTT | 0.40 | 755 | 5 | — |
| 59 | J.T. MillerFVAN | VAN | 0.39 | 1,675 | 11 | 92%▲7.7 |
| 60 | Pavel BuchnevichFSTL | STL | 0.39 | 1,226 | 8 | 36%▲7.6 |
| 61 | Victor OlofssonFBUF | BUF | 0.39 | 1,077 | 7 | 14%▲14 |
| 62 | Corey PerryFTBL | TBL | 0.38 | 937 | 6 | 7.4%▲5.9 |
| 63 | Artturi LehkonenFCOL | COL | 0.37 | 1,309 | 8 | 57%▲40 |
| 64 | Tim StützleFOTT | OTT | 0.36 | 1,659 | 10 | 99%▲0.8 |
| 65 | Owen TippettFPHI | PHI | 0.36 | 1,342 | 8 | 78%▼7 |
| 66 | Martin NecasFCAR | CAR | 0.36 | 1,510 | 9 | 100%▲1.8 |
| 67 | William NylanderFTOR | TOR | 0.36 | 1,520 | 9 | 99%▼0.8 |
| 68 | Jeff SkinnerFBUF | BUF | 0.35 | 1,374 | 8 | 0.1% |
| 69 | Dominik KubalikFDET | DET | 0.35 | 1,208 | 7 | — |
| 70 | Jack HughesFNJD | NJD | 0.35 | 1,557 | 9 | 100% |
| 71 | Ryan JohansenFNSH | NSH | 0.35 | 867 | 5 | — |
| 72 | Kevin FialaFLAK | LAK | 0.35 | 1,214 | 7 | 67%▼8.3 |
| 73 | Mats ZuccarelloFMIN | MIN | 0.34 | 1,575 | 9 | 51%▲29 |
| 74 | Blake WheelerFWPG | WPG | 0.34 | 1,227 | 7 | — |
| 75 | Mason McTavishFANA | ANA | 0.34 | 1,230 | 7 | 51%▲36 |
| 76 | Vincent TrocheckFNYR | NYR | 0.34 | 1,584 | 9 | 88%▼5.4 |
| 77 | Alex TuchFBUF | BUF | 0.34 | 1,417 | 8 | 94%▼5.5 |
| 78 | Cody GlassFNSH | NSH | 0.34 | 1,063 | 6 | 4.9%▲4.5 |
| 79 | Max DomiFCHI/DAL | CHI/DAL | 0.34 | 1,422 | 8 | 5.8%▲4.6 |
| 80 | Jesper BrattFNJD | NJD | 0.34 | 1,424 | 8 | 97%▲11 |
| 81 | Artemi PanarinFNYR | NYR | 0.34 | 1,608 | 9 | 97%▼1.8 |
| 82 | Kirby DachFMTL | MTL | 0.34 | 1,073 | 6 | 12%▲12 |
| 83 | Jake DeBruskFBOS | BOS | 0.34 | 1,074 | 6 | 49%▼20 |
| 84 | Jonatan BerggrenFDET | DET | 0.33 | 902 | 5 | 4.0%▲3.9 |
| 85 | Aleksander BarkovFFLA | FLA | 0.33 | 1,443 | 8 | 97%▲7 |
| 86 | Tyler SeguinFDAL | DAL | 0.33 | 1,263 | 7 | 22%▲19 |
| 87 | Sheldon DriesFVAN | VAN | 0.33 | 726 | 4 | 0.0% |
| 88 | Chris KreiderFNYR | NYR | 0.33 | 1,455 | 8 | 62%▲29 |
| 89 | Sidney CrosbyFPIT | PIT | 0.33 | 1,652 | 9 | 100%▲2.4 |
| 90 | Jared McCannFSEA | SEA | 0.33 | 1,291 | 7 | 72%▲1.9 |
| 91 | Taylor RaddyshFCHI | CHI | 0.33 | 1,292 | 7 | 0.1% |
| 92 | Michael BuntingFTOR | TOR | 0.32 | 1,295 | 7 | 3.7%▲1 |
| 93 | Matt BoldyFMIN | MIN | 0.32 | 1,498 | 8 | 100% |
| 94 | Mitch MarnerFTOR | TOR | 0.32 | 1,702 | 9 | 99%▲1.3 |
| 95 | Boone JennerFCBJ | CBJ | 0.31 | 1,374 | 7 | 21%▲16 |
| 96 | Gabriel VilardiFLAK | LAK | 0.31 | 983 | 5 | 80%▲7.7 |
| 97 | Carter VerhaegheFFLA | FLA | 0.30 | 1,418 | 7 | 72% |
| 98 | Andre BurakovskyFSEA | SEA | 0.30 | 811 | 4 | 5.6%▲5.4 |
| 99 | Evan RodriguesFCOL | COL | 0.29 | 1,232 | 6 | 8.3%▲6.5 |
| 100 | Tyler BertuzziFDET/BOS | DET/BOS | 0.29 | 824 | 4 | 62%▼3.5 |
Minimum sample: 492 minutes (it scales with games played). 329 below the minimum are hidden.
How to read it
Power-Play Goals per 60 minutes of ice time, all situations.
How reliable is it?
Rates need minutes: early in a season, low-minute players swing the most.
About our data sources →Projected next
Our fantasy projections for power-play goals: who should lead the coming games.
Related leaderboards
- Power-Play GoalsGoals scored with the man advantage (5-on-4, 5-on-3, 4-on-3).
- Power-Play Goals: forwardsGoals scored with the man advantage (5-on-4, 5-on-3, 4-on-3).
- Power-Play Goals: defenseGoals scored with the man advantage (5-on-4, 5-on-3, 4-on-3).
- Power-Play AssistsAssists on goals scored with the man advantage.