More skater stats
NHL Takeaways per 60 Leaders
2023-24All 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 2023-24: Evgeni Malkin (PIT), 3.54 TK/60.
- Legacy recording: before 2024-25 turnovers and hits were recorded arena by arena with large scorer bias. Compare players within this season only.
Takeaways per 60 leaderboard
| # | Player | Team | TK/60 | TK | ||
|---|---|---|---|---|---|---|
| 1 | Evgeni MalkinFPIT | PIT | 3.54 | 1,524 | 90 | 82%▲11 |
| 2 | Mathieu JosephFOTT | OTT | 3.49 | 1,186 | 69 | 0.1% |
| 3 | Ryan McLeodFEDM | EDM | 3.43 | 1,154 | 66 | 26%▲20 |
| 4 | Mark StoneFVGK | VGK | 3.42 | 1,087 | 62 | 93%▲9.6 |
| 5 | Alex TuchFBUF | BUF | 3.36 | 1,463 | 82 | 94%▼5.5 |
| 6 | Simon HolmstromFNYI | NYI | 3.18 | 999 | 53 | 16%▲14 |
| 7 | Mathew BarzalFNYI | NYI | 3.13 | 1,611 | 84 | 84%▲11 |
| 8 | Connor BrownFEDM | EDM | 3.04 | 909 | 46 | 6.6%▲5.1 |
| 9 | Auston MatthewsFTOR | TOR | 3.00 | 1,698 | 85 | 99% |
| 10 | Jack HughesFNJD | NJD | 2.95 | 1,300 | 64 | 100% |
| 11 | Derek RyanFEDM | EDM | 2.94 | 714 | 35 | — |
| 12 | Filip ForsbergFNSH | NSH | 2.94 | 1,550 | 76 | 99%▲1.7 |
| 13 | Leon DraisaitlFEDM | EDM | 2.93 | 1,676 | 82 | 100% |
| 14 | Tyler MotteFTBL | TBL | 2.87 | 859 | 41 | — |
| 15 | Tommy NovakFNSH | NSH | 2.86 | 1,008 | 48 | 11%▲9.1 |
| 16 | Oliver BjorkstrandFSEA | SEA | 2.85 | 1,327 | 63 | 20% |
| 17 | Nic DowdFWSH | WSH | 2.84 | 973 | 46 | 3.2%▲3.1 |
| 18 | T.J. OshieFWSH | WSH | 2.80 | 877 | 41 | — |
| 19 | Jack EichelFVGK | VGK | 2.78 | 1,293 | 60 | 99%▲1.4 |
| 20 | Logan O'ConnorFCOL | COL | 2.68 | 852 | 38 | 0.2% |
| 21 | Yanni GourdeFSEA | SEA | 2.67 | 1,396 | 62 | 4.9%▲4 |
| 22 | Sidney CrosbyFPIT | PIT | 2.66 | 1,647 | 73 | 100%▲2.4 |
| 23 | Nick RobertsonFTOR | TOR | 2.64 | 637 | 28 | 28%▲27 |
| 24 | Nicolas Aube-KubelFWSH | WSH | 2.62 | 732 | 32 | — |
| 25 | Nick SchmaltzFARI | ARI | 2.61 | 1,515 | 66 | 94%▲4.4 |
| 26 | Jordan EberleFSEA | SEA | 2.60 | 1,361 | 59 | 30%▲2.7 |
| 27 | Matt BoldyFMIN | MIN | 2.58 | 1,418 | 61 | 100% |
| 28 | Conor GarlandFVAN | VAN | 2.57 | 1,192 | 51 | 10%▲7.4 |
| 29 | Aleksander BarkovFFLA | FLA | 2.55 | 1,433 | 61 | 97%▲7 |
| 30 | Kiefer SherwoodFNSH | NSH | 2.54 | 828 | 35 | 59%▲6.6 |
| 31 | Connor McDavidFEDM | EDM | 2.51 | 1,623 | 68 | 100%▲1.5 |
| 32 | Jaccob SlavinDCAR | CAR | 2.51 | 1,695 | 71 | 16%▲4.6 |
| 33 | William NylanderFTOR | TOR | 2.50 | 1,633 | 68 | 99%▼0.8 |
| 34 | Lars EllerFPIT | PIT | 2.47 | 1,309 | 54 | 0.2% |
| 35 | Leo CarlssonFANA | ANA | 2.47 | 996 | 41 | 94%▲11 |
| 36 | Aliaksei ProtasFWSH | WSH | 2.46 | 1,072 | 44 | 59%▲33 |
| 37 | Robert ThomasFSTL | STL | 2.44 | 1,719 | 70 | 93%▲20 |
| 38 | Noah CatesFPHI | PHI | 2.43 | 814 | 33 | 18%▲15 |
| 39 | Miles WoodFCOL | COL | 2.43 | 1,013 | 41 | 0.1% |
| 40 | Brayden SchennFSTL | STL | 2.43 | 1,458 | 59 | 28%▲7.8 |
| 41 | Joey AndersonFCHI | CHI | 2.42 | 745 | 30 | — |
| 42 | Mitch MarnerFTOR | TOR | 2.41 | 1,468 | 59 | 99%▲1.3 |
| 43 | Jason RobertsonFDAL | DAL | 2.40 | 1,503 | 60 | 100% |
| 44 | Nico HischierFNJD | NJD | 2.39 | 1,383 | 55 | 97%▲2.3 |
| 45 | Jason DickinsonFCHI | CHI | 2.38 | 1,359 | 54 | 3.2%▲3 |
| 46 | Yakov TreninFNSH/COL | NSH/COL | 2.38 | 1,108 | 44 | 22%▲16 |
| 47 | Jamie BennFDAL | DAL | 2.37 | 1,240 | 49 | 22%▲18 |
| 48 | Ryan O'ReillyFNSH | NSH | 2.37 | 1,621 | 64 | 84%▲5 |
| 49 | Jaden SchwartzFSEA | SEA | 2.37 | 1,014 | 40 | 11%▲11 |
| 50 | Ryan DonatoFCHI | CHI | 2.36 | 1,092 | 43 | 9.9%▲4.3 |
| 51 | Eetu LuostarinenFFLA | FLA | 2.34 | 1,307 | 51 | 12%▲10 |
| 52 | Ryan Nugent-HopkinsFEDM | EDM | 2.33 | 1,570 | 61 | 77%▲15 |
| 53 | Mikael BacklundFCGY | CGY | 2.32 | 1,577 | 61 | 14%▲9.3 |
| 54 | Kirill MarchenkoFCBJ | CBJ | 2.30 | 1,280 | 49 | 98%▲7.4 |
| 55 | Anthony BeauvillierFCHI/VAN/NSH | CHI/VAN/NSH | 2.28 | 815 | 31 | 4.0%▲3.8 |
| 56 | MacKenzie EntwistleFCHI | CHI | 2.28 | 763 | 29 | 0.0% |
| 57 | Nicolas RoyFVGK | VGK | 2.27 | 1,082 | 41 | 4.9%▲4.7 |
| 58 | Sonny MilanoFWSH | WSH | 2.25 | 613 | 23 | — |
| 59 | Colton ParaykoDSTL | STL | 2.24 | 1,957 | 73 | 37%▼42 |
| 60 | Taylor RaddyshFCHI | CHI | 2.23 | 1,159 | 43 | 0.1% |
| 61 | Nazem KadriFCGY | CGY | 2.22 | 1,511 | 56 | 71%▼9 |
| 62 | Nick CousinsFFLA | FLA | 2.21 | 841 | 31 | 0.1% |
| 63 | Jonathan HuberdeauFCGY | CGY | 2.21 | 1,411 | 52 | 17%▲12 |
| 64 | Alex VlasicDCHI | CHI | 2.21 | 1,632 | 60 | 9.0%▲7.7 |
| 65 | Cale MakarDCOL | COL | 2.20 | 1,907 | 70 | 100%▲1 |
| 66 | Noel AcciariFPIT | PIT | 2.19 | 713 | 26 | 3.3%▲3.1 |
| 67 | Jimmy VeseyFNYR | NYR | 2.18 | 990 | 36 | — |
| 68 | Parker KellyFOTT | OTT | 2.18 | 937 | 34 | 11%▲5.6 |
| 69 | Paul CotterFVGK | VGK | 2.17 | 967 | 35 | 19%▲19 |
| 70 | Lukas ReichelFCHI | CHI | 2.16 | 917 | 33 | 4.8%▲4.6 |
| 71 | Kevin HayesFSTL | STL | 2.15 | 1,143 | 41 | 0.0% |
| 72 | Charlie CoyleFBOS | BOS | 2.15 | 1,481 | 53 | 49%▼11 |
| 73 | Nick FolignoFCHI | CHI | 2.15 | 1,315 | 47 | 4.1%▲3.6 |
| 74 | Sean CouturierFPHI | PHI | 2.14 | 1,319 | 47 | 9.2%▲7.2 |
| 75 | Boris KatchoukFCHI/OTT | CHI/OTT | 2.13 | 677 | 24 | 0.0% |
| 76 | Kailer YamamotoFSEA | SEA | 2.12 | 708 | 25 | 0.2% |
| 77 | Nikita KucherovFTBL | TBL | 2.12 | 1,755 | 62 | 100% |
| 78 | Kevin StenlundFFLA | FLA | 2.12 | 1,021 | 36 | 0.1% |
| 79 | Mason MarchmentFDAL | DAL | 2.12 | 1,220 | 43 | 47%▲34 |
| 80 | Kasperi KapanenFSTL | STL | 2.11 | 1,050 | 37 | 9.2%▲9 |
| 81 | Travis KonecnyFPHI | PHI | 2.11 | 1,508 | 53 | 92%▲9.6 |
| 82 | Dylan LarkinFDET | DET | 2.10 | 1,372 | 48 | 96% |
| 83 | Connor BedardFCHI | CHI | 2.10 | 1,345 | 47 | 98%▲3.6 |
| 84 | Warren FoegeleFEDM | EDM | 2.09 | 1,146 | 40 | 4.0%▲3.9 |
| 85 | Sam BennettFFLA | FLA | 2.09 | 1,146 | 40 | 84%▲4.3 |
| 86 | Quinton ByfieldFLAK | LAK | 2.09 | 1,319 | 46 | 86%▲18 |
| 87 | Egor ChinakhovFCBJ | CBJ | 2.09 | 804 | 28 | 48%▲39 |
| 88 | Matthew KniesFTOR | TOR | 2.08 | 1,094 | 38 | 95%▲14 |
| 89 | A.J. GreerFCGY | CGY | 2.07 | 521 | 18 | 7.5%▲5.8 |
| 90 | Joel KivirantaFCOL | COL | 2.07 | 551 | 19 | 0.1% |
| 91 | Tom WilsonFWSH | WSH | 2.06 | 1,340 | 46 | 94%▲6.3 |
| 92 | Tyler BertuzziFTOR | TOR | 2.06 | 1,284 | 44 | 62%▼3.5 |
| 93 | Mike HoffmanFSJS | SJS | 2.05 | 906 | 31 | — |
| 94 | Brandon HagelFTBL | TBL | 2.05 | 1,579 | 54 | 99%▲1.4 |
| 95 | William KarlssonFVGK | VGK | 2.05 | 1,232 | 42 | 24%▲20 |
| 96 | Luke EvangelistaFNSH | NSH | 2.04 | 1,116 | 38 | 70%▲23 |
| 97 | Josh MansonDCOL | COL | 2.04 | 1,352 | 46 | 32%▲16 |
| 98 | Jordan KyrouFSTL | STL | 2.04 | 1,503 | 51 | 80%▲3.7 |
| 99 | Mikael GranlundFSJS | SJS | 2.03 | 1,446 | 49 | 52%▼12 |
| 100 | Michael AmadioFVGK | VGK | 2.03 | 978 | 33 | 3.3%▲2.6 |
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.