More skater stats
NHL Takeaways per 60 Leaders
2024-25All situationsThrough 82 team games
This board ranks skaters by takeaways 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.
A takeaway is a puck won from an opponent by a skater's own effort, as judged by the off-ice scorer. Smart two-way forwards with active sticks lead the league. Rates surface low-minute players who already produce takeaways; they gain the most when their ice time grows.
Leader in 2024-25: Jaccob Slavin (CAR), 2.12 TK/60.
Takeaways per 60 leaderboard
| # | Player | Team | TK/60 | TK | ||
|---|---|---|---|---|---|---|
| 1 | Jaccob SlavinDCAR | CAR | 2.12 | 1,726 | 61 | 16%▲4.6 |
| 2 | Mitch MarnerFTOR | TOR | 1.95 | 1,727 | 56 | 99%▲1.3 |
| 3 | Alex TuchFBUF | BUF | 1.86 | 1,579 | 49 | 94%▼5.5 |
| 4 | Jordan EberleFSEA | SEA | 1.84 | 683 | 21 | 30%▲2.7 |
| 5 | Erik JohnsonDPHI/COL | PHI/COL | 1.83 | 525 | 16 | — |
| 6 | Lane HutsonDMTL | MTL | 1.80 | 1,864 | 56 | 99%▲3.1 |
| 7 | Morgan BarronFWPG | WPG | 1.80 | 768 | 23 | 4.8%▲4.7 |
| 8 | Mark StoneFVGK | VGK | 1.79 | 1,271 | 38 | 93%▲9.6 |
| 9 | Charlie CoyleFBOS/COL | BOS/COL | 1.79 | 1,410 | 42 | 49%▼11 |
| 10 | Jaden SchwartzFSEA | SEA | 1.78 | 1,449 | 43 | 11%▲11 |
| 11 | Drew O'ConnorFPIT/VAN | PIT/VAN | 1.78 | 1,215 | 36 | 5.9%▲4.5 |
| 12 | Cale MakarDCOL | COL | 1.75 | 2,057 | 60 | 100%▲1 |
| 13 | Taylor HallFCHI/CAR | CHI/CAR | 1.75 | 1,168 | 34 | 28%▲20 |
| 14 | Sean WalkerDCAR | CAR | 1.74 | 1,380 | 40 | 61%▼11 |
| 15 | K'Andre MillerDNYR | NYR | 1.74 | 1,624 | 47 | 64%▲26 |
| 16 | Evan BouchardDEDM | EDM | 1.72 | 1,924 | 55 | 100% |
| 17 | Adam PelechDNYI | NYI | 1.71 | 1,267 | 36 | 3.2%▲3 |
| 18 | Jake BeanDCGY | CGY | 1.68 | 966 | 27 | 0.1% |
| 19 | Pierre-Olivier JosephDPIT/STL | PIT/STL | 1.67 | 717 | 20 | 0.1% |
| 20 | Ty EmbersonDEDM | EDM | 1.67 | 1,149 | 32 | 0.1% |
| 21 | Alex VlasicDCHI | CHI | 1.67 | 1,908 | 53 | 9.0%▲7.7 |
| 22 | Shayne GostisbehereDCAR | CAR | 1.67 | 1,296 | 36 | 96%▲16 |
| 23 | Jayden StrubleDMTL | MTL | 1.65 | 837 | 23 | 3.3%▲2.9 |
| 24 | Morgan FrostFPHI/CGY | PHI/CGY | 1.65 | 1,276 | 35 | 23%▲17 |
| 25 | Jake SandersonDOTT | OTT | 1.63 | 1,955 | 53 | 99%▲2.9 |
| 26 | MacKenzie WeegarDCGY | CGY | 1.59 | 1,957 | 52 | 93%▼7.2 |
| 27 | Brock NelsonFNYI/COL | NYI/COL | 1.59 | 1,513 | 40 | 88%▼3.6 |
| 28 | Justin DowlingFNJD | NJD | 1.58 | 532 | 14 | — |
| 29 | Tyler KlevenDOTT | OTT | 1.58 | 1,143 | 30 | 8.0%▲7.9 |
| 30 | Dylan HollowayFSTL | STL | 1.57 | 1,295 | 34 | 95%▲9.4 |
| 31 | Alexander WennbergFSJS | SJS | 1.57 | 1,452 | 38 | 25%▼1.6 |
| 32 | Dylan SambergDWPG | WPG | 1.56 | 1,268 | 33 | 4.0%▲3.9 |
| 33 | Owen TippettFPHI | PHI | 1.56 | 1,231 | 32 | 78%▼7 |
| 34 | Matt BoldyFMIN | MIN | 1.55 | 1,664 | 43 | 100% |
| 35 | Nic DowdFWSH | WSH | 1.54 | 1,244 | 32 | 3.2%▲3.1 |
| 36 | Tyler MotteFDET | DET | 1.54 | 622 | 16 | — |
| 37 | Travis SanheimDPHI | PHI | 1.52 | 2,009 | 51 | 67%▼7.1 |
| 38 | Aleksander BarkovFFLA | FLA | 1.50 | 1,357 | 34 | 97%▲7 |
| 39 | Warren FoegeleFLAK | LAK | 1.49 | 1,326 | 33 | 4.0%▲3.9 |
| 40 | Filip ForsbergFNSH | NSH | 1.49 | 1,527 | 38 | 99%▲1.7 |
| 41 | Evgeni MalkinFPIT | PIT | 1.49 | 1,209 | 30 | 82%▲11 |
| 42 | Marc Del GaizoDNSH | NSH | 1.48 | 771 | 19 | — |
| 43 | Mikael BacklundFCGY | CGY | 1.47 | 1,424 | 35 | 14%▲9.3 |
| 44 | Kirill MarchenkoFCBJ | CBJ | 1.47 | 1,468 | 36 | 98%▲7.4 |
| 45 | Barclay GoodrowFSJS | SJS | 1.47 | 1,061 | 26 | 0.1% |
| 46 | Maxim TsyplakovFNYI | NYI | 1.46 | 1,152 | 28 | 14% |
| 47 | Alexander KerfootFUTA | UTA | 1.46 | 1,236 | 30 | 3.2%▲3.1 |
| 48 | Mattias EkholmDEDM | EDM | 1.46 | 1,443 | 35 | 77%▲9.5 |
| 49 | David PastrnakFBOS | BOS | 1.45 | 1,655 | 40 | 100%▲1.1 |
| 50 | Declan ChisholmDMIN | MIN | 1.44 | 1,122 | 27 | 0.1% |
| 51 | Scott MayfieldDNYI | NYI | 1.44 | 1,122 | 27 | 0.1% |
| 52 | Mason LohreiDBOS | BOS | 1.44 | 1,504 | 36 | 22%▲21 |
| 53 | Sam MalinskiDCOL | COL | 1.44 | 1,213 | 29 | 55%▲32 |
| 54 | Craig SmithFCHI/DET | CHI/DET | 1.44 | 669 | 16 | — |
| 55 | Alex IafalloFWPG | WPG | 1.43 | 1,089 | 26 | 4.3%▲3 |
| 56 | Morgan GeekieFBOS | BOS | 1.43 | 1,303 | 31 | 96%▲7.9 |
| 57 | Dmitry KulikovDFLA | FLA | 1.42 | 1,349 | 32 | 3.2%▲3.1 |
| 58 | Dylan LarkinFDET | DET | 1.42 | 1,646 | 39 | 96% |
| 59 | Michael AmadioFOTT | OTT | 1.42 | 1,015 | 24 | 3.3%▲2.6 |
| 60 | Jordan OesterleDBOS/NSH | BOS/NSH | 1.42 | 635 | 15 | — |
| 61 | Tyler TuckerDSTL | STL | 1.41 | 554 | 13 | 4.8%▲4.7 |
| 62 | Gage GoncalvesFTBL | TBL | 1.41 | 768 | 18 | 11%▲11 |
| 63 | Denton MateychukDCBJ | CBJ | 1.40 | 812 | 19 | 42%▲40 |
| 64 | Adam FoxDNYR | NYR | 1.40 | 1,720 | 40 | 99%▲6.8 |
| 65 | David KampfFTOR | TOR | 1.39 | 731 | 17 | 0.0% |
| 66 | Tomas HertlFVGK | VGK | 1.39 | 1,250 | 29 | 84%▲3.2 |
| 67 | Mason MarchmentFDAL | DAL | 1.39 | 951 | 22 | 47%▲34 |
| 68 | Josh MansonDCOL | COL | 1.39 | 866 | 20 | 32%▲16 |
| 69 | Erik KarlssonDPIT | PIT | 1.39 | 1,905 | 44 | 95% |
| 70 | Mikko RantanenFCOL/DAL/CAR | COL/DAL/CAR | 1.38 | 1,742 | 40 | 99%▲0.5 |
| 71 | Leon DraisaitlFEDM | EDM | 1.37 | 1,528 | 35 | 100% |
| 72 | Nikolai KovalenkoFSJS/COL | SJS/COL | 1.36 | 703 | 16 | — |
| 73 | Ondrej PalatFNJD | NJD | 1.36 | 1,059 | 24 | 0.1% |
| 74 | Seth JarvisFCAR | CAR | 1.36 | 1,413 | 32 | 95%▲1.4 |
| 75 | Connor BrownFEDM | EDM | 1.36 | 1,149 | 26 | 6.6%▲5.1 |
| 76 | Zach WerenskiDCBJ | CBJ | 1.36 | 2,166 | 49 | 100% |
| 77 | J.J. MoserDTBL | TBL | 1.36 | 1,018 | 23 | 22%▲19 |
| 78 | Jakob ChychrunDWSH | WSH | 1.35 | 1,559 | 35 | 99% |
| 79 | Mathieu JosephFSTL | STL | 1.34 | 714 | 16 | 0.1% |
| 80 | Kiefer SherwoodFVAN | VAN | 1.34 | 1,161 | 26 | 59%▲6.6 |
| 81 | Wyatt KaiserDCHI | CHI | 1.34 | 1,033 | 23 | 6.5%▲6.2 |
| 82 | Miro HeiskanenDDAL | DAL | 1.34 | 1,258 | 28 | 99%▲4.3 |
| 83 | Philippe MyersDTOR | TOR | 1.33 | 584 | 13 | 0.1% |
| 84 | Connor CliftonDBUF | BUF | 1.33 | 1,172 | 26 | 7.4%▲6.7 |
| 85 | Mario FerraroDSJS | SJS | 1.33 | 1,669 | 37 | 15%▼2.1 |
| 86 | Jansen HarkinsFANA | ANA | 1.33 | 678 | 15 | 0.0% |
| 87 | Rasmus DahlinDBUF | BUF | 1.32 | 1,769 | 39 | 100%▲1 |
| 88 | Brandon TanevFSEA/WPG | SEA/WPG | 1.32 | 1,045 | 23 | 0.1% |
| 89 | Shane PintoFOTT | OTT | 1.32 | 1,229 | 27 | 37%▲22 |
| 90 | Charlie McAvoyDBOS | BOS | 1.32 | 1,184 | 26 | 97%▲6.2 |
| 91 | Luke HughesDNJD | NJD | 1.32 | 1,502 | 33 | 84%▲40 |
| 92 | Emil AndraeDPHI | PHI | 1.32 | 728 | 16 | 8.8%▲8.6 |
| 93 | Andrew CoppFDET | DET | 1.31 | 823 | 18 | 9.2%▲7.8 |
| 94 | William CarrierFCAR | CAR | 1.31 | 504 | 11 | 0.1% |
| 95 | Noah DobsonDNYI | NYI | 1.31 | 1,652 | 36 | 98%▼1.2 |
| 96 | Oliver BjorkstrandFSEA/TBL | SEA/TBL | 1.30 | 1,197 | 26 | 20% |
| 97 | Connor McDavidFEDM | EDM | 1.30 | 1,476 | 32 | 100%▲1.5 |
| 98 | David PerronFOTT | OTT | 1.29 | 603 | 13 | 0.2% |
| 99 | Oskar SundqvistFSTL | STL | 1.29 | 885 | 19 | 0.0% |
| 100 | Ryan SheaDPIT | PIT | 1.29 | 652 | 14 | 16%▲11 |
Minimum sample: 492 minutes (it scales with games played). 307 below the minimum are hidden.
How to read it
Takeaways 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 takeaways: who should lead the coming games.