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NHL Game-Winning Goals per 60 Leaders
2017-18All situationsThrough 82 team games
This board ranks skaters by game-winning 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.
The game-winning goal is the winning team's goal that put it one ahead of the loser's final total: in a 5-2 win, the third goal. Shootout winners do not count. Rates surface low-minute players who already produce game-winning goals; they gain the most when their ice time grows.
Leader in 2017-18: Nathan MacKinnon (COL), 0.49 GWG/60.
Game-Winning Goals per 60 leaderboard
| # | Player | Team | GWG/60 | GWG | ||
|---|---|---|---|---|---|---|
| 1 | Nathan MacKinnonFCOL | COL | 0.49 | 1,473 | 12 | 100%▲0.9 |
| 2 | Sean MonahanFCGY | CGY | 0.48 | 1,382 | 11 | 19%▲13 |
| 3 | Brayden PointFTBL | TBL | 0.45 | 1,609 | 12 | 95%▲7.5 |
| 4 | Andre BurakovskyFWSH | WSH | 0.39 | 775 | 5 | 5.6%▲5.4 |
| 5 | Brad MarchandFBOS | BOS | 0.36 | 1,341 | 8 | 73%▲0.7 |
| 6 | Patrik LaineFWPG | WPG | 0.36 | 1,351 | 8 | 9.7%▲9.2 |
| 7 | William NylanderFTOR | TOR | 0.35 | 1,368 | 8 | 99%▼0.8 |
| 8 | Zach PariseFMIN | MIN | 0.33 | 717 | 4 | — |
| 9 | Brandon SaadFCHI | CHI | 0.33 | 1,435 | 8 | — |
| 10 | Adam HenriqueFANA/NJD | ANA/NJD | 0.33 | 1,441 | 8 | 0.5% |
| 11 | Kyle ConnorFWPG | WPG | 0.33 | 1,285 | 7 | 99%▲1.1 |
| 12 | Ondrej KaseFANA | ANA | 0.33 | 919 | 5 | — |
| 13 | Evgeny KuznetsovFWSH | WSH | 0.32 | 1,486 | 8 | — |
| 14 | Jordan EberleFNYI | NYI | 0.32 | 1,302 | 7 | 30%▲2.7 |
| 15 | Nikolaj EhlersFWPG | WPG | 0.32 | 1,319 | 7 | 93%▲7.5 |
| 16 | Filip ForsbergFNSH | NSH | 0.31 | 1,171 | 6 | 99%▲1.7 |
| 17 | Jason ZuckerFMIN | MIN | 0.30 | 1,391 | 7 | 23%▲17 |
| 18 | Jake DeBruskFBOS | BOS | 0.30 | 1,006 | 5 | 49%▼20 |
| 19 | Travis KonecnyFPHI | PHI | 0.30 | 1,207 | 6 | 92%▲9.6 |
| 20 | Artem AnisimovFCHI | CHI | 0.30 | 1,209 | 6 | — |
| 21 | Brayden SchennFSTL | STL | 0.30 | 1,617 | 8 | 28%▲7.8 |
| 22 | James NealFVGK | VGK | 0.30 | 1,219 | 6 | — |
| 23 | Patrice BergeronFBOS | BOS | 0.29 | 1,244 | 6 | — |
| 24 | Taylor HallFNJD | NJD | 0.29 | 1,455 | 7 | 28%▲20 |
| 25 | Evgeni MalkinFPIT | PIT | 0.28 | 1,481 | 7 | 82%▲11 |
| 26 | Sonny MilanoFCBJ | CBJ | 0.28 | 641 | 3 | — |
| 27 | Kyle PalmieriFNJD | NJD | 0.28 | 1,073 | 5 | 19%▲10 |
| 28 | Pontus AbergFNSH/EDM | NSH/EDM | 0.28 | 645 | 3 | — |
| 29 | Tyler ToffoliFLAK | LAK | 0.27 | 1,322 | 6 | 38%▼18 |
| 30 | Jonathan MarchessaultFVGK | VGK | 0.27 | 1,348 | 6 | 24%▼21 |
| 31 | Auston MatthewsFTOR | TOR | 0.27 | 1,124 | 5 | 99% |
| 32 | Jared McCannFFLA | FLA | 0.27 | 901 | 4 | 72%▲1.9 |
| 33 | Nikita KucherovFTBL | TBL | 0.26 | 1,586 | 7 | 100% |
| 34 | Josh AndersonFCBJ | CBJ | 0.26 | 1,136 | 5 | 10%▲9.2 |
| 35 | Patrik BerglundFSTL | STL | 0.26 | 921 | 4 | — |
| 36 | Evgenii DadonovFFLA | FLA | 0.26 | 1,384 | 6 | 0.1% |
| 37 | Viktor ArvidssonFNSH | NSH | 0.26 | 1,384 | 6 | 33%▲23 |
| 38 | Jamie BennFDAL | DAL | 0.26 | 1,625 | 7 | 22%▲18 |
| 39 | Denis MalginFFLA | FLA | 0.25 | 707 | 3 | — |
| 40 | Alex OvechkinFWSH | WSH | 0.25 | 1,652 | 7 | 96%▲1.2 |
| 41 | Nino NiederreiterFMIN | MIN | 0.25 | 945 | 4 | 4.0%▲3.8 |
| 42 | Connor CarrickDTOR | TOR | 0.25 | 711 | 3 | — |
| 43 | Stefan NoesenFNJD | NJD | 0.25 | 957 | 4 | 0.1% |
| 44 | James van RiemsdykFTOR | TOR | 0.25 | 1,206 | 5 | 0.3% |
| 45 | Mikhail SergachevDTBL | TBL | 0.25 | 1,213 | 5 | 98%▲5.2 |
| 46 | Cam AtkinsonFCBJ | CBJ | 0.24 | 1,229 | 5 | — |
| 47 | Mikkel BoedkerFSJS | SJS | 0.24 | 988 | 4 | — |
| 48 | Daniel SedinFVAN | VAN | 0.24 | 1,237 | 5 | — |
| 49 | Connor McDavidFEDM | EDM | 0.24 | 1,767 | 7 | 100%▲1.5 |
| 50 | Benoit PouliotFBUF | BUF | 0.24 | 1,013 | 4 | — |
| 51 | Phil KesselFPIT | PIT | 0.23 | 1,532 | 6 | — |
| 52 | William KarlssonFVGK | VGK | 0.23 | 1,535 | 6 | 24%▲20 |
| 53 | Connor BrickleyFFLA | FLA | 0.23 | 523 | 2 | — |
| 54 | Yanni GourdeFTBL | TBL | 0.23 | 1,325 | 5 | 4.9%▲4 |
| 55 | Dustin BrownFLAK | LAK | 0.22 | 1,607 | 6 | — |
| 56 | Brock BoeserFVAN | VAN | 0.22 | 1,085 | 4 | 64%▼4.5 |
| 57 | Wayne SimmondsFPHI | PHI | 0.22 | 1,357 | 5 | — |
| 58 | Conor ShearyFPIT | PIT | 0.22 | 1,102 | 4 | 0.1% |
| 59 | Jannik HansenFSJS | SJS | 0.22 | 554 | 2 | — |
| 60 | Pavel BuchnevichFNYR | NYR | 0.22 | 1,111 | 4 | 36%▲7.6 |
| 61 | Patrick MarleauFTOR | TOR | 0.22 | 1,393 | 5 | — |
| 62 | J.T. MillerFNYR/TBL | NYR/TBL | 0.21 | 1,396 | 5 | 92%▲7.7 |
| 63 | Sam ReinhartFBUF | BUF | 0.21 | 1,402 | 5 | 99% |
| 64 | Sidney CrosbyFPIT | PIT | 0.21 | 1,697 | 6 | 100%▲2.4 |
| 65 | Jimmy VeseyFNYR | NYR | 0.21 | 1,132 | 4 | — |
| 66 | Brian GibbonsFNJD | NJD | 0.21 | 851 | 3 | — |
| 67 | Cedric PaquetteFTBL | TBL | 0.21 | 571 | 2 | — |
| 68 | Tyler SeguinFDAL | DAL | 0.21 | 1,715 | 6 | 22%▲19 |
| 69 | Tomas HertlFSJS | SJS | 0.21 | 1,430 | 5 | 84%▲3.2 |
| 70 | Danton HeinenFBOS | BOS | 0.21 | 1,157 | 4 | 0.0% |
| 71 | Tyler EnnisFMIN | MIN | 0.21 | 874 | 3 | — |
| 72 | David PastrnakFBOS | BOS | 0.20 | 1,473 | 5 | 100%▲1.1 |
| 73 | Sean CouturierFPHI | PHI | 0.20 | 1,771 | 6 | 9.2%▲7.2 |
| 74 | Alex TuchFVGK | VGK | 0.20 | 1,190 | 4 | 94%▼5.5 |
| 75 | Reilly SmithFVGK | VGK | 0.20 | 1,201 | 4 | — |
| 76 | Ryan SpoonerFBOS/NYR | BOS/NYR | 0.20 | 902 | 3 | — |
| 77 | Timo MeierFSJS | SJS | 0.20 | 1,204 | 4 | 82%▼8 |
| 78 | Anze KopitarFLAK | LAK | 0.20 | 1,811 | 6 | 0.5% |
| 79 | Mike HoffmanFOTT | OTT | 0.20 | 1,509 | 5 | — |
| 80 | Kevin FialaFNSH | NSH | 0.20 | 1,212 | 4 | 67%▼8.3 |
| 81 | Max PaciorettyFMTL | MTL | 0.20 | 1,217 | 4 | — |
| 82 | Vladimir TarasenkoFSTL | STL | 0.20 | 1,525 | 5 | 10%▲1 |
| 83 | Patrick MaroonFEDM/NJD | EDM/NJD | 0.20 | 1,224 | 4 | — |
| 84 | Joel WardFSJS | SJS | 0.19 | 617 | 2 | — |
| 85 | David PerronFVGK | VGK | 0.19 | 1,247 | 4 | 0.2% |
| 86 | Austin WatsonFNSH | NSH | 0.19 | 937 | 3 | — |
| 87 | Mark JankowskiFCGY | CGY | 0.19 | 962 | 3 | 0.2% |
| 88 | Mika ZibanejadFNYR | NYR | 0.19 | 1,293 | 4 | 98%▲1.4 |
| 89 | Colton SissonsFNSH | NSH | 0.18 | 1,304 | 4 | 3.3%▲3.1 |
| 90 | Artemi PanarinFCBJ | CBJ | 0.18 | 1,631 | 5 | 97%▼1.8 |
| 91 | Tanner PearsonFLAK | LAK | 0.18 | 1,309 | 4 | 0.0% |
| 92 | Brandon MontourDANA | ANA | 0.18 | 1,638 | 5 | 83%▲10 |
| 93 | Ryan CarpenterFVGK/SJS | VGK/SJS | 0.18 | 655 | 2 | — |
| 94 | Kevin HayesFNYR | NYR | 0.18 | 1,319 | 4 | 0.0% |
| 95 | Erik HaulaFVGK | VGK | 0.18 | 1,320 | 4 | 12%▲8.7 |
| 96 | Brendan GallagherFMTL | MTL | 0.18 | 1,325 | 4 | 3.3%▲2.8 |
| 97 | Tomas TatarFDET/VGK | DET/VGK | 0.18 | 1,334 | 4 | — |
| 98 | Valtteri FilppulaFPHI | PHI | 0.18 | 1,335 | 4 | — |
| 99 | Michael RafflFPHI | PHI | 0.18 | 1,007 | 3 | — |
| 100 | Jack EichelFBUF | BUF | 0.18 | 1,350 | 4 | 99%▲1.4 |
Minimum sample: 492 minutes (it scales with games played). 289 below the minimum are hidden.
How to read it
Game-Winning 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 game-winning goals: who should lead the coming games.
Related leaderboards
- Game-Winning GoalsGoals that were the winning team's (loser's final score + 1)th goal, shootouts excluded.
- Game-Winning Goals: forwardsGoals that were the winning team's (loser's final score + 1)th goal, shootouts excluded.
- Game-Winning Goals: defenseGoals that were the winning team's (loser's final score + 1)th goal, shootouts excluded.
- GoalsTotal goals this season, all situations.