Counting stats
NHL Power-Play Points per 60 Leaders
2020-21All situationsThrough 57 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 2020-21: Connor McDavid (EDM), 1.79 PPP/60.
Power-Play Points per 60 leaderboard
| # | Player | Team | PPP/60 | PPP | ||
|---|---|---|---|---|---|---|
| 1 | Connor McDavidFEDM | EDM | 1.79 | 1,241 | 37 | 100%▲1.5 |
| 2 | Leon DraisaitlFEDM | EDM | 1.55 | 1,243 | 32 | 100% |
| 3 | Nathan MacKinnonFCOL | COL | 1.53 | 977 | 25 | 100%▲0.9 |
| 4 | Roope HintzFDAL | DAL | 1.44 | 748 | 18 | 84%▲7.1 |
| 5 | Jonathan HuberdeauFFLA | FLA | 1.42 | 1,013 | 24 | 17%▲12 |
| 6 | Jack EichelFBUF | BUF | 1.39 | 430 | 10 | 99%▲1.4 |
| 7 | Mikko RantanenFCOL | COL | 1.39 | 1,036 | 24 | 99%▲0.5 |
| 8 | Mike HoffmanFSTL | STL | 1.38 | 783 | 18 | — |
| 9 | Artemi PanarinFNYR | NYR | 1.31 | 825 | 18 | 97%▼1.8 |
| 10 | Steven StamkosFTBL | TBL | 1.30 | 694 | 15 | 94%▼4.2 |
| 11 | Vincent TrocheckFCAR | CAR | 1.26 | 857 | 18 | 88%▼5.4 |
| 12 | Ondrej PalatFTBL | TBL | 1.25 | 960 | 20 | 0.1% |
| 13 | David KrejciFBOS | BOS | 1.24 | 874 | 18 | — |
| 14 | Cale MakarDCOL | COL | 1.23 | 1,070 | 22 | 100%▲1 |
| 15 | Nicklas BackstromFWSH | WSH | 1.23 | 1,023 | 21 | — |
| 16 | Eeli TolvanenFNSH | NSH | 1.22 | 592 | 12 | 35%▼9.7 |
| 17 | David PerronFSTL | STL | 1.21 | 1,039 | 21 | 0.2% |
| 18 | Joe PavelskiFDAL | DAL | 1.18 | 1,065 | 21 | — |
| 19 | Sidney CrosbyFPIT | PIT | 1.18 | 1,122 | 22 | 100%▲2.4 |
| 20 | Anze KopitarFLAK | LAK | 1.16 | 1,186 | 23 | 0.5% |
| 21 | Alex OvechkinFWSH | WSH | 1.16 | 878 | 17 | 96%▲1.2 |
| 22 | Tyson BarrieDEDM | EDM | 1.15 | 1,198 | 23 | — |
| 23 | Aleksander BarkovFFLA | FLA | 1.15 | 1,047 | 20 | 97%▲7 |
| 24 | Brad MarchandFBOS | BOS | 1.14 | 1,002 | 19 | 73%▲0.7 |
| 25 | Keith YandleDFLA | FLA | 1.12 | 966 | 18 | — |
| 26 | Ryan Nugent-HopkinsFEDM | EDM | 1.11 | 1,080 | 20 | 77%▲15 |
| 27 | Johnny GaudreauFCGY | CGY | 1.11 | 1,031 | 19 | — |
| 28 | Oliver WahlstromFNYI | NYI | 1.10 | 545 | 10 | — |
| 29 | Filip ForsbergFNSH | NSH | 1.09 | 713 | 13 | 99%▲1.7 |
| 30 | Victor HedmanDTBL | TBL | 1.06 | 1,352 | 24 | 93%▲11 |
| 31 | Patrick KaneFCHI | CHI | 1.06 | 1,245 | 22 | 80%▲0.9 |
| 32 | Andrei SvechnikovFCAR | CAR | 1.06 | 965 | 17 | 97%▲8.8 |
| 33 | Ryan StromeFNYR | NYR | 1.06 | 1,023 | 18 | 4.0%▲3.9 |
| 34 | Andre BurakovskyFCOL | COL | 1.05 | 800 | 14 | 5.6%▲5.4 |
| 35 | Adam FoxDNYR | NYR | 1.02 | 1,359 | 23 | 99%▲6.8 |
| 36 | Alex DeBrincatFCHI | CHI | 1.01 | 1,068 | 18 | 100%▲2.5 |
| 37 | David PastrnakFBOS | BOS | 1.01 | 893 | 15 | 100%▲1.1 |
| 38 | T.J. OshieFWSH | WSH | 1.00 | 957 | 16 | — |
| 39 | Kevin FialaFMIN | MIN | 0.99 | 845 | 14 | 67%▼8.3 |
| 40 | Jared McCannFPIT | PIT | 0.99 | 607 | 10 | 72%▲1.9 |
| 41 | Blake WheelerFWPG | WPG | 0.98 | 917 | 15 | — |
| 42 | Nikolaj EhlersFWPG | WPG | 0.98 | 795 | 13 | 93%▲7.5 |
| 43 | Drake BathersonFOTT | OTT | 0.98 | 923 | 15 | 97%▲7.2 |
| 44 | Patric HornqvistFFLA | FLA | 0.97 | 738 | 12 | — |
| 45 | Mark StoneFVGK | VGK | 0.97 | 1,048 | 17 | 93%▲9.6 |
| 46 | J.T. MillerFVAN | VAN | 0.97 | 1,111 | 18 | 92%▲7.7 |
| 47 | Sam ReinhartFBUF | BUF | 0.97 | 1,055 | 17 | 99% |
| 48 | Dominik KubalikFCHI | CHI | 0.97 | 869 | 14 | — |
| 49 | Chris KreiderFNYR | NYR | 0.97 | 870 | 14 | 62%▲29 |
| 50 | Jake GuentzelFPIT | PIT | 0.95 | 1,135 | 18 | 100% |
| 51 | Sebastian AhoFCAR | CAR | 0.94 | 1,090 | 17 | 99%▲1.2 |
| 52 | Victor OlofssonFBUF | BUF | 0.92 | 974 | 15 | 14%▲14 |
| 53 | Evgeni MalkinFPIT | PIT | 0.92 | 585 | 9 | 82%▲11 |
| 54 | Josh NorrisFOTT | OTT | 0.91 | 922 | 14 | 39%▲32 |
| 55 | Quinn HughesDVAN | VAN | 0.89 | 1,277 | 19 | 100% |
| 56 | Adrian KempeFLAK | LAK | 0.89 | 948 | 14 | 97%▼0.6 |
| 57 | Matthew TkachukFCGY | CGY | 0.89 | 1,017 | 15 | 100%▲2.6 |
| 58 | Brayden PointFTBL | TBL | 0.87 | 1,032 | 15 | 95%▲7.5 |
| 59 | Oliver Ekman-LarssonDARI | ARI | 0.87 | 965 | 14 | 43%▲32 |
| 60 | Dougie HamiltonDCAR | CAR | 0.86 | 1,250 | 18 | 84%▲12 |
| 61 | Elias LindholmFCGY | CGY | 0.86 | 1,114 | 16 | 43%▲4.7 |
| 62 | Vladimir TarasenkoFSTL | STL | 0.86 | 418 | 6 | 10%▲1 |
| 63 | John KlingbergDDAL | DAL | 0.85 | 1,203 | 17 | 0.2% |
| 64 | Pavel ZachaFNJD | NJD | 0.84 | 858 | 12 | 78%▲13 |
| 65 | Max PaciorettyFVGK | VGK | 0.84 | 861 | 12 | — |
| 66 | Gabriel LandeskogFCOL | COL | 0.84 | 1,078 | 15 | 50%▲32 |
| 67 | Travis KonecnyFPHI | PHI | 0.83 | 795 | 11 | 92%▲9.6 |
| 68 | Mark ScheifeleFWPG | WPG | 0.82 | 1,174 | 16 | 99% |
| 69 | Phil KesselFARI | ARI | 0.82 | 957 | 13 | — |
| 70 | Adam BoqvistDCHI | CHI | 0.81 | 595 | 8 | 0.0% |
| 71 | Jordan StaalFCAR | CAR | 0.80 | 980 | 13 | 20%▲13 |
| 72 | Patrice BergeronFBOS | BOS | 0.79 | 984 | 13 | — |
| 73 | William NylanderFTOR | TOR | 0.78 | 847 | 11 | 99%▼0.8 |
| 74 | James van RiemsdykFPHI | PHI | 0.78 | 926 | 12 | 0.3% |
| 75 | Brock BoeserFVAN | VAN | 0.78 | 1,082 | 14 | 64%▼4.5 |
| 76 | Kirill KaprizovFMIN | MIN | 0.78 | 1,006 | 13 | 98%▼0.9 |
| 77 | Nick SuzukiFMTL | MTL | 0.77 | 1,018 | 13 | 100%▲0.5 |
| 78 | Dustin BrownFLAK | LAK | 0.76 | 863 | 11 | — |
| 79 | Cody GlassFVGK | VGK | 0.76 | 393 | 5 | 4.9%▲4.5 |
| 80 | Shea TheodoreDVGK | VGK | 0.75 | 1,195 | 15 | 91%▲28 |
| 81 | Aaron EkbladDFLA | FLA | 0.75 | 878 | 11 | 50%▲34 |
| 82 | Alex ChiassonFEDM | EDM | 0.75 | 562 | 7 | — |
| 83 | Mika ZibanejadFNYR | NYR | 0.75 | 1,126 | 14 | 98%▲1.4 |
| 84 | Jack RoslovicFCBJ | CBJ | 0.74 | 811 | 10 | 34%▲26 |
| 85 | Drew DoughtyDLAK | LAK | 0.73 | 1,477 | 18 | 22%▲12 |
| 86 | Torey KrugDSTL | STL | 0.73 | 1,150 | 14 | 0.0% |
| 87 | John CarlsonDWSH | WSH | 0.73 | 1,237 | 15 | 99%▲2.4 |
| 88 | Martin NecasFCAR | CAR | 0.72 | 916 | 11 | 100%▲1.8 |
| 89 | Jeff PetryDMTL | MTL | 0.72 | 1,251 | 15 | 0.1% |
| 90 | Roman JosiDNSH | NSH | 0.72 | 1,169 | 14 | 98%▼0.5 |
| 91 | Andrew CoppFWPG | WPG | 0.72 | 1,004 | 12 | 9.2%▲7.8 |
| 92 | John TavaresFTOR | TOR | 0.71 | 1,019 | 12 | 96%▲9.3 |
| 93 | Evgeny KuznetsovFWSH | WSH | 0.71 | 679 | 8 | — |
| 94 | Auston MatthewsFTOR | TOR | 0.70 | 1,121 | 13 | 99% |
| 95 | Timo MeierFSJS | SJS | 0.69 | 867 | 10 | 82%▼8 |
| 96 | Sean CouturierFPHI | PHI | 0.69 | 870 | 10 | 9.2%▲7.2 |
| 97 | Kyle ConnorFWPG | WPG | 0.69 | 1,049 | 12 | 99%▲1.1 |
| 98 | Mitch MarnerFTOR | TOR | 0.68 | 1,233 | 14 | 99%▲1.3 |
| 99 | Dylan StromeFCHI | CHI | 0.68 | 621 | 7 | 83%▲11 |
| 100 | Claude GirouxFPHI | PHI | 0.68 | 978 | 11 | 30%▲20 |
Minimum sample: 342 minutes (it scales with games played). 312 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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