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NHL Power-Play Goals Leaders: Defensemen
2021-22All situationsThrough 82 team games
This board ranks defensemen only by power-play goals.
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. For leagues that split positions: which defensemen add power-play goals.
Leader in 2021-22: Roman Josi (NSH), 11 PPG.
- Completed seasons use the NHL's official power-play and shorthanded totals.
Power-Play Goals: defense leaderboard
Show
| # | Player | Team | PPG | GP | Per game | PPA | PPP | G | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Roman JosiDNSH | NSH | 11 | 80 | 0.14 | 26 | 37 | 23 | 98%▼0.5 |
| 2 | Cale MakarDCOL | COL | 9 | 77 | 0.12 | 25 | 34 | 28 | 100%▲1 |
| 3 | John CarlsonDWSH | WSH | 7 | 78 | 0.09 | 18 | 25 | 17 | 99%▲2.4 |
| 4 | Victor HedmanDTBL | TBL | 6 | 82 | 0.07 | 32 | 38 | 20 | 93%▲11 |
| 5 | Josh MorrisseyDWPG | WPG | 6 | 79 | 0.08 | 9 | 15 | 12 | 99%▲3.2 |
| 6 | Cam FowlerDANA | ANA | 6 | 76 | 0.08 | 12 | 18 | 9 | 14%▲1.8 |
| 7 | Damon SeversonDNJD | NJD | 5 | 80 | 0.06 | 11 | 16 | 11 | 9.4%▲6.2 |
| 8 | Ryan SuterDDAL | DAL | 4 | 82 | 0.05 | 9 | 13 | 7 | — |
| 9 | Brent BurnsDSJS | SJS | 4 | 82 | 0.05 | 14 | 18 | 10 | 50%▼14 |
| 10 | Charlie McAvoyDBOS | BOS | 4 | 78 | 0.05 | 17 | 21 | 10 | 97%▲6.2 |
| 11 | Zach WerenskiDCBJ | CBJ | 4 | 68 | 0.06 | 10 | 14 | 11 | 100% |
| 12 | Drew DoughtyDLAK | LAK | 4 | 39 | 0.10 | 9 | 13 | 7 | 22%▲12 |
| 13 | Alex PietrangeloDVGK | VGK | 3 | 80 | 0.04 | 10 | 13 | 13 | 4.0%▲3.7 |
| 14 | Rasmus DahlinDBUF | BUF | 3 | 80 | 0.04 | 18 | 21 | 13 | 100%▲1 |
| 15 | Noah DobsonDNYI | NYI | 3 | 80 | 0.04 | 19 | 22 | 13 | 98%▼1.2 |
| 16 | Oliver Ekman-LarssonDVAN | VAN | 3 | 79 | 0.04 | 7 | 10 | 5 | 43%▲32 |
| 17 | Tyson BarrieDEDM | EDM | 3 | 73 | 0.04 | 18 | 21 | 7 | — |
| 18 | Miro HeiskanenDDAL | DAL | 3 | 70 | 0.04 | 8 | 11 | 5 | 99%▲4.3 |
| 19 | Torey KrugDSTL | STL | 3 | 64 | 0.05 | 16 | 19 | 9 | 0.0% |
| 20 | Aaron EkbladDFLA | FLA | 3 | 61 | 0.05 | 17 | 20 | 15 | 50%▲34 |
| 21 | Adam BoqvistDCBJ | CBJ | 3 | 52 | 0.06 | 3 | 6 | 11 | 0.0% |
| 22 | Morgan RiellyDTOR | TOR | 2 | 82 | 0.02 | 21 | 23 | 10 | 76%▼5.1 |
| 23 | Shayne GostisbehereDARI | ARI | 2 | 82 | 0.02 | 17 | 19 | 14 | 96%▲16 |
| 24 | Rasmus AnderssonDCGY | CGY | 2 | 82 | 0.02 | 17 | 19 | 4 | 94%▼3.9 |
| 25 | Moritz SeiderDDET | DET | 2 | 82 | 0.02 | 19 | 21 | 7 | 100%▲0.6 |
| 26 | Evan BouchardDEDM | EDM | 2 | 81 | 0.02 | 5 | 7 | 12 | 100% |
| 27 | Kris LetangDPIT | PIT | 2 | 78 | 0.03 | 20 | 22 | 10 | 47%▼16 |
| 28 | Filip HronekDDET | DET | 2 | 78 | 0.03 | 5 | 7 | 5 | 91%▲14 |
| 29 | Dmitry OrlovDWSH | WSH | 2 | 76 | 0.03 | 2 | 4 | 12 | 35%▲21 |
| 30 | Justin SchultzDWSH | WSH | 2 | 74 | 0.03 | 3 | 5 | 4 | — |
| 31 | Ben ChiarotDMTL/FLA | MTL/FLA | 2 | 74 | 0.03 | 1 | 3 | 9 | 13%▲11 |
| 32 | Vince DunnDSEA | SEA | 2 | 73 | 0.03 | 9 | 11 | 7 | 89%▲12 |
| 33 | Devon ToewsDCOL | COL | 2 | 66 | 0.03 | 10 | 12 | 13 | 62%▼1 |
| 34 | Tony DeAngeloDCAR | CAR | 2 | 64 | 0.03 | 18 | 20 | 10 | 24%▲18 |
| 35 | Sean DurziDLAK | LAK | 2 | 64 | 0.03 | 13 | 15 | 3 | 38%▲36 |
| 36 | Dougie HamiltonDNJD | NJD | 2 | 62 | 0.03 | 6 | 8 | 9 | 84%▲12 |
| 37 | Dylan CoghlanDVGK | VGK | 2 | 60 | 0.03 | 2 | 4 | 3 | 0.1% |
| 38 | Ryan PulockDNYI | NYI | 2 | 56 | 0.04 | 4 | 6 | 5 | 10%▼1.4 |
| 39 | Kevin ShattenkirkDANA | ANA | 1 | 82 | 0.01 | 13 | 14 | 8 | — |
| 40 | K'Andre MillerDNYR | NYR | 1 | 82 | 0.01 | 0 | 1 | 7 | 64%▲26 |
| 41 | Jacob TroubaDNYR | NYR | 1 | 81 | 0.01 | 3 | 4 | 11 | 76%▼11 |
| 42 | Brandon MontourDFLA | FLA | 1 | 81 | 0.01 | 7 | 8 | 11 | 83%▲10 |
| 43 | Noah HanifinDCGY | CGY | 1 | 81 | 0.01 | 12 | 13 | 10 | 53%▼22 |
| 44 | MacKenzie WeegarDFLA | FLA | 1 | 80 | 0.01 | 2 | 3 | 8 | 93%▼7.2 |
| 45 | Jaccob SlavinDCAR | CAR | 1 | 79 | 0.01 | 6 | 7 | 4 | 16%▲4.6 |
| 46 | Ivan ProvorovDPHI | PHI | 1 | 79 | 0.01 | 6 | 7 | 9 | 36%▼27 |
| 47 | Shea TheodoreDVGK | VGK | 1 | 78 | 0.01 | 11 | 12 | 14 | 91%▲28 |
| 48 | Mikhail SergachevDTBL | TBL | 1 | 78 | 0.01 | 6 | 7 | 7 | 98%▲5.2 |
| 49 | Keith YandleDPHI | PHI | 1 | 77 | 0.01 | 10 | 11 | 1 | — |
| 50 | Nate SchmidtDWPG | WPG | 1 | 77 | 0.01 | 10 | 11 | 4 | 4.9%▲4.5 |
| 51 | Alexandre CarrierDNSH | NSH | 1 | 77 | 0.01 | 3 | 4 | 3 | 14%▲12 |
| 52 | Neal PionkDWPG | WPG | 1 | 77 | 0.01 | 11 | 12 | 3 | 32%▲31 |
| 53 | Justin FaulkDSTL | STL | 1 | 76 | 0.01 | 6 | 7 | 16 | 55%▼22 |
| 54 | John KlingbergDDAL | DAL | 1 | 74 | 0.01 | 19 | 20 | 6 | 0.2% |
| 55 | Jonas BrodinDMIN | MIN | 1 | 73 | 0.01 | 6 | 7 | 5 | 5.0%▲4.3 |
| 56 | Oliver KylingtonDCGY | CGY | 1 | 73 | 0.01 | 2 | 3 | 9 | — |
| 57 | Jacob BrysonDBUF | BUF | 1 | 73 | 0.01 | 6 | 7 | 1 | 0.0% |
| 58 | Hampus LindholmDANA/BOS | ANA/BOS | 1 | 71 | 0.01 | 4 | 5 | 5 | 17%▲15 |
| 59 | Brett PesceDCAR | CAR | 1 | 70 | 0.01 | 2 | 3 | 7 | 0.3% |
| 60 | Timothy LiljegrenDTOR | TOR | 1 | 61 | 0.02 | 1 | 2 | 5 | 4.8%▲4.7 |
| 61 | Thomas ChabotDOTT | OTT | 1 | 59 | 0.02 | 12 | 13 | 7 | 83%▼12 |
| 62 | Mathew DumbaDMIN | MIN | 1 | 57 | 0.02 | 4 | 5 | 7 | 0.1% |
| 63 | Jakob ChychrunDARI | ARI | 1 | 47 | 0.02 | 0 | 1 | 7 | 99% |
| 64 | Kyle CapobiancoDARI | ARI | 1 | 45 | 0.02 | 1 | 2 | 2 | 0.1% |
| 65 | J.J. MoserDARI | ARI | 1 | 43 | 0.02 | 1 | 2 | 4 | 22%▲19 |
| 66 | Bowen ByramDCOL | COL | 1 | 30 | 0.03 | 0 | 1 | 5 | 96%▲6.5 |
| 67 | Cam YorkDPHI | PHI | 1 | 30 | 0.03 | 3 | 4 | 3 | 20%▲18 |
| 68 | Michael Del ZottoDOTT | OTT | 1 | 26 | 0.04 | 1 | 2 | 3 | — |
| 69 | Nils LundkvistDNYR | NYR | 1 | 25 | 0.04 | 1 | 2 | 1 | 5.6%▲5.5 |
| 70 | Michael StoneDCGY | CGY | 1 | 11 | 0.09 | 1 | 2 | 2 | — |
| 71 | Nick BlankenburgDCBJ | CBJ | 1 | 7 | 0.14 | 0 | 1 | 1 | 5.6%▲5.5 |
| 72 | Jack AhcanDBOS | BOS | 1 | 6 | 0.17 | 0 | 1 | 1 | 0.1% |
How to read it
Goals scored with the man advantage (5-on-4, 5-on-3, 4-on-3).
How reliable is it?
Power-play scoring follows power-play time: the share of a team's PP minutes is far more repeatable than the goal total itself.
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 per 60Power-Play Goals per 60 minutes of ice time, all situations.
- Power-Play AssistsAssists on goals scored with the man advantage.