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NHL Shorthanded Goals Leaders
2022-23All situationsThrough 82 team games
This board ranks every NHL skater by shorthanded goals, regular season only, listing players with at least one. Pick any season back to 2017-18 above the table.
Shorthanded goals are scored while killing a penalty. They are rare, a few per player at most, and usually come from fast forwards on the penalty kill who jump on a bad pass. SHG is a rare category: the leaders often have only three or four. Penalty-kill time is the only real predictor.
Leader in 2022-23: J.T. Miller (VAN), 5 SHG.
- Completed seasons use the NHL's official power-play and shorthanded totals.
Shorthanded Goals leaderboard
155 qualified
Show
| # | Player | Team | SHG | GP | Per game | SHA | SHP | G | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | J.T. MillerFVAN | VAN | 5 | 81 | 0.06 | 4 | 9 | 32 | 92%▲7.7 |
| 2 | Elias PetterssonFVAN | VAN | 5 | 80 | 0.06 | 4 | 9 | 39 | 87%▼5.5 |
| 3 | Frederick GaudreauFMIN | MIN | 4 | 82 | 0.05 | 1 | 5 | 19 | 0.2% |
| 4 | Connor McDavidFEDM | EDM | 4 | 82 | 0.05 | 3 | 7 | 64 | 100%▲1.5 |
| 5 | Mitch MarnerFTOR | TOR | 4 | 80 | 0.05 | 1 | 5 | 30 | 99%▲1.3 |
| 6 | Chris KreiderFNYR | NYR | 4 | 79 | 0.05 | 0 | 4 | 36 | 62%▲29 |
| 7 | Bo HorvatFVAN/NYI | VAN/NYI | 4 | 79 | 0.05 | 1 | 5 | 38 | 90%▲1.2 |
| 8 | Reilly SmithFVGK | VGK | 4 | 78 | 0.05 | 0 | 4 | 26 | — |
| 9 | Sam LaffertyFCHI/TOR | CHI/TOR | 4 | 70 | 0.06 | 1 | 5 | 12 | 0.0% |
| 10 | Adam LowryFWPG | WPG | 3 | 82 | 0.04 | 2 | 5 | 13 | 5.7%▲5.5 |
| 11 | Adrian KempeFLAK | LAK | 3 | 82 | 0.04 | 0 | 3 | 41 | 97%▼0.6 |
| 12 | Nick SuzukiFMTL | MTL | 3 | 82 | 0.04 | 0 | 3 | 26 | 100%▲0.5 |
| 13 | Nico HischierFNJD | NJD | 3 | 81 | 0.04 | 1 | 4 | 31 | 97%▲2.3 |
| 14 | Connor DewarFMIN | MIN | 3 | 81 | 0.04 | 1 | 4 | 6 | 4.2%▲3.1 |
| 15 | Jared McCannFSEA | SEA | 3 | 79 | 0.04 | 0 | 3 | 40 | 72%▲1.9 |
| 16 | Scott LaughtonFPHI | PHI | 3 | 78 | 0.04 | 4 | 7 | 18 | 5.6%▲5.5 |
| 17 | Tim StützleFOTT | OTT | 3 | 78 | 0.04 | 0 | 3 | 39 | 99%▲0.8 |
| 18 | Austin WatsonFOTT | OTT | 3 | 75 | 0.04 | 0 | 3 | 9 | — |
| 19 | Sebastian AhoFCAR | CAR | 3 | 75 | 0.04 | 1 | 4 | 36 | 99%▲1.2 |
| 20 | Roope HintzFDAL | DAL | 3 | 73 | 0.04 | 0 | 3 | 37 | 84%▲7.1 |
| 21 | Jean-Gabriel PageauFNYI | NYI | 3 | 70 | 0.04 | 1 | 4 | 13 | 12%▲11 |
| 22 | Mattias JanmarkFEDM | EDM | 3 | 66 | 0.05 | 1 | 4 | 10 | 0.0% |
| 23 | Travis KonecnyFPHI | PHI | 3 | 60 | 0.05 | 3 | 6 | 31 | 92%▲9.6 |
| 24 | Mark JankowskiFNSH | NSH | 3 | 50 | 0.06 | 0 | 3 | 7 | 0.2% |
| 25 | Zach PariseFNYI | NYI | 2 | 82 | 0.02 | 1 | 3 | 21 | — |
| 26 | Jamie BennFDAL | DAL | 2 | 82 | 0.02 | 1 | 3 | 33 | 22%▲18 |
| 27 | Blake ColemanFCGY | CGY | 2 | 82 | 0.02 | 0 | 2 | 18 | 38%▼24 |
| 28 | William KarlssonFVGK | VGK | 2 | 82 | 0.02 | 3 | 5 | 14 | 24%▲20 |
| 29 | Darnell NurseDEDM | EDM | 2 | 82 | 0.02 | 1 | 3 | 12 | 69%▼13 |
| 30 | Conor ShearyFWSH | WSH | 2 | 82 | 0.02 | 0 | 2 | 15 | 0.1% |
| 31 | Dillon DubeFCGY | CGY | 2 | 82 | 0.02 | 0 | 2 | 18 | 0.1% |
| 32 | Logan O'ConnorFCOL | COL | 2 | 82 | 0.02 | 1 | 3 | 9 | 0.2% |
| 33 | Dylan CozensFBUF | BUF | 2 | 81 | 0.02 | 1 | 3 | 31 | 90%▲3.9 |
| 34 | Marcus JohanssonFWSH/MIN | WSH/MIN | 2 | 80 | 0.03 | 0 | 2 | 19 | 0.7% |
| 35 | Erik HaulaFNJD | NJD | 2 | 80 | 0.03 | 1 | 3 | 14 | 12%▲8.7 |
| 36 | Connor MurphyDCHI | CHI | 2 | 80 | 0.03 | 0 | 2 | 7 | 6.0%▲5.1 |
| 37 | Derek RyanFEDM | EDM | 2 | 80 | 0.03 | 1 | 3 | 13 | — |
| 38 | Pius SuterFDET | DET | 2 | 79 | 0.03 | 0 | 2 | 14 | 4.1%▲3.3 |
| 39 | Patrice BergeronFBOS | BOS | 2 | 78 | 0.03 | 0 | 2 | 27 | — |
| 40 | Joel Eriksson EkFMIN | MIN | 2 | 78 | 0.03 | 1 | 3 | 23 | 82%▲10 |
| 41 | Jack RoslovicFCBJ | CBJ | 2 | 77 | 0.03 | 1 | 3 | 11 | 34%▲26 |
| 42 | Yakov TreninFNSH | NSH | 2 | 77 | 0.03 | 0 | 2 | 12 | 22%▲16 |
| 43 | Shayne GostisbehereDARI/CAR | ARI/CAR | 2 | 75 | 0.03 | 0 | 2 | 13 | 96%▲16 |
| 44 | Brock McGinnFPIT/ANA | PIT/ANA | 2 | 75 | 0.03 | 0 | 2 | 12 | — |
| 45 | Yegor SharangovichFNJD | NJD | 2 | 75 | 0.03 | 2 | 4 | 13 | 7.8%▲0.9 |
| 46 | Anton LundellFFLA | FLA | 2 | 73 | 0.03 | 0 | 2 | 12 | 46%▲31 |
| 47 | Eric StaalFFLA | FLA | 2 | 72 | 0.03 | 0 | 2 | 14 | — |
| 48 | Brandon SaadFSTL | STL | 2 | 71 | 0.03 | 1 | 3 | 19 | — |
| 49 | Luke GlendeningFDAL | DAL | 2 | 70 | 0.03 | 0 | 2 | 3 | 0.0% |
| 50 | Teuvo TeravainenFCAR | CAR | 2 | 68 | 0.03 | 1 | 3 | 12 | 13%▲8.6 |
| 51 | Tomas NosekFBOS | BOS | 2 | 66 | 0.03 | 0 | 2 | 7 | — |
| 52 | Ryan HartmanFMIN | MIN | 2 | 59 | 0.03 | 2 | 4 | 15 | 40%▼17 |
| 53 | Anthony CirelliFTBL | TBL | 2 | 58 | 0.03 | 0 | 2 | 11 | 51%▲19 |
| 54 | Ryan McLeodFEDM | EDM | 2 | 57 | 0.04 | 1 | 3 | 11 | 26%▲20 |
| 55 | Mathieu JosephFOTT | OTT | 2 | 56 | 0.04 | 1 | 3 | 3 | 0.1% |
| 56 | Derek ForbortDBOS | BOS | 2 | 54 | 0.04 | 0 | 2 | 5 | 0.0% |
| 57 | Kevin StenlundFWPG | WPG | 2 | 54 | 0.04 | 0 | 2 | 6 | 0.1% |
| 58 | Ryan PoehlingFPIT | PIT | 2 | 53 | 0.04 | 1 | 3 | 7 | 6.7%▲5.1 |
| 59 | Gustav NyquistFCBJ/MIN | CBJ/MIN | 2 | 51 | 0.04 | 0 | 2 | 11 | 0.0% |
| 60 | Mark StoneFVGK | VGK | 2 | 43 | 0.05 | 0 | 2 | 17 | 93%▲9.6 |
| 61 | Lars EllerFWSH/COL | WSH/COL | 1 | 84 | 0.01 | 0 | 1 | 10 | 0.2% |
| 62 | Trevor LewisFCGY | CGY | 1 | 82 | 0.01 | 0 | 1 | 9 | — |
| 63 | Alex KillornFTBL | TBL | 1 | 82 | 0.01 | 1 | 2 | 27 | 5.1%▲3.6 |
| 64 | Logan CoutureFSJS | SJS | 1 | 82 | 0.01 | 0 | 1 | 27 | — |
| 65 | Mikael BacklundFCGY | CGY | 1 | 82 | 0.01 | 3 | 4 | 19 | 14%▲9.3 |
| 66 | Charlie CoyleFBOS | BOS | 1 | 82 | 0.01 | 4 | 5 | 16 | 49%▼11 |
| 67 | Ryan Nugent-HopkinsFEDM | EDM | 1 | 82 | 0.01 | 3 | 4 | 37 | 77%▲15 |
| 68 | Adam LarssonDSEA | SEA | 1 | 82 | 0.01 | 0 | 1 | 8 | 23%▼19 |
| 69 | Mika ZibanejadFNYR | NYR | 1 | 82 | 0.01 | 1 | 2 | 39 | 98%▲1.4 |
| 70 | Jacob TroubaDNYR | NYR | 1 | 82 | 0.01 | 1 | 2 | 8 | 76%▼11 |
| 71 | Jordan MartinookFCAR | CAR | 1 | 82 | 0.01 | 1 | 2 | 13 | 4.3%▲2.7 |
| 72 | Colton SissonsFNSH | NSH | 1 | 82 | 0.01 | 0 | 1 | 12 | 3.3%▲3.1 |
| 73 | Alexander KerfootFTOR | TOR | 1 | 82 | 0.01 | 1 | 2 | 10 | 3.2%▲3.1 |
| 74 | Andrew CoppFDET | DET | 1 | 82 | 0.01 | 0 | 1 | 9 | 9.2%▲7.8 |
| 75 | Matt RoyDLAK | LAK | 1 | 82 | 0.01 | 1 | 2 | 9 | 9.0%▲8.3 |
| 76 | Brandon TanevFSEA | SEA | 1 | 82 | 0.01 | 0 | 1 | 16 | 0.1% |
| 77 | Clayton KellerFARI | ARI | 1 | 82 | 0.01 | 0 | 1 | 37 | 100%▲2.1 |
| 78 | Casey MittelstadtFBUF | BUF | 1 | 82 | 0.01 | 0 | 1 | 15 | 14%▲12 |
| 79 | Noah CatesFPHI | PHI | 1 | 82 | 0.01 | 1 | 2 | 13 | 18%▲15 |
| 80 | Jesperi KotkaniemiFCAR | CAR | 1 | 82 | 0.01 | 0 | 1 | 18 | 3.2%▲3.1 |
| 81 | Moritz SeiderDDET | DET | 1 | 82 | 0.01 | 1 | 2 | 5 | 100%▲0.6 |
| 82 | Seth JarvisFCAR | CAR | 1 | 82 | 0.01 | 0 | 1 | 14 | 95%▲1.4 |
| 83 | Dawson MercerFNJD | NJD | 1 | 82 | 0.01 | 1 | 2 | 27 | 25%▲19 |
| 84 | Jordan StaalFCAR | CAR | 1 | 81 | 0.01 | 1 | 2 | 17 | 20%▲13 |
| 85 | Yanni GourdeFSEA | SEA | 1 | 81 | 0.01 | 0 | 1 | 14 | 4.9%▲4 |
| 86 | Brady SkjeiDCAR | CAR | 1 | 81 | 0.01 | 0 | 1 | 18 | 18%▼31 |
| 87 | Radek FaksaFDAL | DAL | 1 | 81 | 0.01 | 1 | 2 | 11 | 0.1% |
| 88 | Chandler StephensonFVGK | VGK | 1 | 81 | 0.01 | 2 | 3 | 16 | 17%▲13 |
| 89 | Jimmy VeseyFNYR | NYR | 1 | 81 | 0.01 | 0 | 1 | 11 | — |
| 90 | Damon SeversonDNJD | NJD | 1 | 81 | 0.01 | 0 | 1 | 7 | 9.4%▲6.2 |
| 91 | Travis SanheimDPHI | PHI | 1 | 81 | 0.01 | 0 | 1 | 7 | 67%▼7.1 |
| 92 | Brandon HagelFTBL | TBL | 1 | 81 | 0.01 | 2 | 3 | 30 | 99%▲1.4 |
| 93 | Nicolas DeslauriersFPHI | PHI | 1 | 80 | 0.01 | 0 | 1 | 6 | 0.2% |
| 94 | Nick PaulFTBL | TBL | 1 | 80 | 0.01 | 0 | 1 | 17 | 8.1%▲7.7 |
| 95 | Elias LindholmFCGY | CGY | 1 | 80 | 0.01 | 2 | 3 | 22 | 43%▲4.7 |
| 96 | Leon DraisaitlFEDM | EDM | 1 | 80 | 0.01 | 1 | 2 | 52 | 100% |
| 97 | Dylan LarkinFDET | DET | 1 | 80 | 0.01 | 0 | 1 | 32 | 96% |
| 98 | Christian FischerFARI | ARI | 1 | 80 | 0.01 | 0 | 1 | 13 | — |
| 99 | Steven LorentzFSJS | SJS | 1 | 80 | 0.01 | 1 | 2 | 10 | 0.0% |
| 100 | Dakota JoshuaFVAN | VAN | 1 | 79 | 0.01 | 0 | 1 | 11 | 4.8%▲4.6 |
How to read it
Goals scored while the team is short a skater.
How reliable is it?
Very low counts: a shorthanded goal total from one season says little about the next.
About our data sources →Projected next
Our fantasy projections for shorthanded goals: who should lead the coming games.