More skater stats
NHL Takeaways per 60 Leaders
2022-23All 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 2022-23: Mitch Marner (TOR), 3.67 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 | Mitch MarnerFTOR | TOR | 3.67 | 1,702 | 104 | 99%▲1.3 |
| 2 | Brandon HagelFTBL | TBL | 3.65 | 1,510 | 92 | 99%▲1.4 |
| 3 | Warren FoegeleFEDM | EDM | 3.45 | 851 | 49 | 4.0%▲3.9 |
| 4 | Mark StoneFVGK | VGK | 3.38 | 833 | 47 | 93%▲9.6 |
| 5 | Alexander WennbergFSEA | SEA | 3.29 | 1,533 | 84 | 25%▼1.6 |
| 6 | Evgeni MalkinFPIT | PIT | 3.23 | 1,524 | 82 | 82%▲11 |
| 7 | Jaccob SlavinDCAR | CAR | 3.16 | 1,671 | 88 | 16%▲4.6 |
| 8 | Jimmy VeseyFNYR | NYR | 3.05 | 1,102 | 56 | — |
| 9 | Josh LeivoFSTL | STL | 2.97 | 606 | 30 | — |
| 10 | Nick SchmaltzFARI | ARI | 2.95 | 1,242 | 61 | 94%▲4.4 |
| 11 | Steven LorentzFSJS | SJS | 2.92 | 947 | 46 | 0.0% |
| 12 | Ryan O'ReillyFSTL/TOR | STL/TOR | 2.90 | 951 | 46 | 84%▲5 |
| 13 | Derek RyanFEDM | EDM | 2.89 | 893 | 43 | — |
| 14 | Robert ThomasFSTL | STL | 2.85 | 1,412 | 67 | 93%▲20 |
| 15 | Yanni GourdeFSEA | SEA | 2.81 | 1,388 | 65 | 4.9%▲4 |
| 16 | Kailer YamamotoFEDM | EDM | 2.81 | 962 | 45 | 0.2% |
| 17 | Ryan PoehlingFPIT | PIT | 2.79 | 624 | 29 | 6.7%▲5.1 |
| 18 | Nick PaulFTBL | TBL | 2.78 | 1,293 | 60 | 8.1%▲7.7 |
| 19 | William NylanderFTOR | TOR | 2.76 | 1,520 | 70 | 99%▼0.8 |
| 20 | Max DomiFCHI/DAL | CHI/DAL | 2.74 | 1,422 | 65 | 5.8%▲4.6 |
| 21 | David KampfFTOR | TOR | 2.72 | 1,255 | 57 | 0.0% |
| 22 | T.J. OshieFWSH | WSH | 2.72 | 970 | 44 | — |
| 23 | Auston MatthewsFTOR | TOR | 2.72 | 1,501 | 68 | 99% |
| 24 | Logan CoutureFSJS | SJS | 2.72 | 1,569 | 71 | — |
| 25 | Alex TuchFBUF | BUF | 2.71 | 1,417 | 64 | 94%▼5.5 |
| 26 | Mathew BarzalFNYI | NYI | 2.71 | 1,086 | 49 | 84%▲11 |
| 27 | Ryan DonatoFSEA | SEA | 2.70 | 799 | 36 | 9.9%▲4.3 |
| 28 | Andreas AthanasiouFCHI | CHI | 2.68 | 1,296 | 58 | — |
| 29 | Connor McDavidFEDM | EDM | 2.68 | 1,836 | 82 | 100%▲1.5 |
| 30 | Leon DraisaitlFEDM | EDM | 2.66 | 1,739 | 77 | 100% |
| 31 | Oliver BjorkstrandFSEA | SEA | 2.66 | 1,266 | 56 | 20% |
| 32 | Adam FoxDNYR | NYR | 2.64 | 1,999 | 88 | 99%▲6.8 |
| 33 | Michael AmadioFVGK | VGK | 2.64 | 818 | 36 | 3.3%▲2.6 |
| 34 | Michael EyssimontFSJS/WPG/TBL | SJS/WPG/TBL | 2.63 | 662 | 29 | 0.1% |
| 35 | Evan BouchardDEDM | EDM | 2.61 | 1,518 | 66 | 100% |
| 36 | Jason DickinsonFCHI | CHI | 2.61 | 1,243 | 54 | 3.2%▲3 |
| 37 | Jared McCannFSEA | SEA | 2.60 | 1,291 | 56 | 72%▲1.9 |
| 38 | Sebastian AhoFCAR | CAR | 2.59 | 1,462 | 63 | 99%▲1.2 |
| 39 | Nikolaj EhlersFWPG | WPG | 2.56 | 704 | 30 | 93%▲7.5 |
| 40 | Jamie BennFDAL | DAL | 2.55 | 1,294 | 55 | 22%▲18 |
| 41 | Nicolas RoyFVGK | VGK | 2.55 | 1,059 | 45 | 4.9%▲4.7 |
| 42 | Charlie CoyleFBOS | BOS | 2.54 | 1,393 | 59 | 49%▼11 |
| 43 | Anthony CirelliFTBL | TBL | 2.50 | 961 | 40 | 51%▲19 |
| 44 | Chandler StephensonFVGK | VGK | 2.49 | 1,540 | 64 | 17%▲13 |
| 45 | Noah CatesFPHI | PHI | 2.47 | 1,457 | 60 | 18%▲15 |
| 46 | Nico HischierFNJD | NJD | 2.46 | 1,562 | 64 | 97%▲2.3 |
| 47 | Denis MalginFCOL/TOR | COL/TOR | 2.45 | 710 | 29 | — |
| 48 | Nick BoninoFSJS/PIT | SJS/PIT | 2.43 | 987 | 40 | — |
| 49 | Juuso ParssinenFNSH | NSH | 2.42 | 645 | 26 | 0.0% |
| 50 | Mikael BacklundFCGY | CGY | 2.42 | 1,489 | 60 | 14%▲9.3 |
| 51 | Matty BeniersFSEA | SEA | 2.41 | 1,367 | 55 | 50%▼1.5 |
| 52 | Jordan EberleFSEA | SEA | 2.41 | 1,368 | 55 | 30%▲2.7 |
| 53 | Morgan GeekieFSEA | SEA | 2.41 | 721 | 29 | 96%▲7.9 |
| 54 | Jason RobertsonFDAL | DAL | 2.41 | 1,545 | 62 | 100% |
| 55 | Kevin StenlundFWPG | WPG | 2.39 | 629 | 25 | 0.1% |
| 56 | Jonathan ToewsFCHI | CHI | 2.37 | 939 | 37 | 0.3% |
| 57 | Filip ForsbergFNSH | NSH | 2.34 | 874 | 34 | 99%▲1.7 |
| 58 | Aleksander BarkovFFLA | FLA | 2.33 | 1,443 | 56 | 97%▲7 |
| 59 | Casey MittelstadtFBUF | BUF | 2.33 | 1,290 | 50 | 14%▲12 |
| 60 | Erik KarlssonDSJS | SJS | 2.31 | 2,100 | 81 | 95% |
| 61 | Jack HughesFNJD | NJD | 2.31 | 1,557 | 60 | 100% |
| 62 | Timo MeierFSJS/NJD | SJS/NJD | 2.30 | 1,512 | 58 | 82%▼8 |
| 63 | Andre BurakovskyFSEA | SEA | 2.29 | 811 | 31 | 5.6%▲5.4 |
| 64 | Ross ColtonFTBL | TBL | 2.28 | 1,000 | 38 | 8.1%▲7.8 |
| 65 | Jordan KyrouFSTL | STL | 2.28 | 1,422 | 54 | 80%▲3.7 |
| 66 | Evgeny SvechnikovFSJS | SJS | 2.27 | 634 | 24 | — |
| 67 | Simon HolmstromFNYI | NYI | 2.27 | 555 | 21 | 16%▲14 |
| 68 | Michael BuntingFTOR | TOR | 2.27 | 1,295 | 49 | 3.7%▲1 |
| 69 | Yakov TreninFNSH | NSH | 2.26 | 1,166 | 44 | 22%▲16 |
| 70 | Conor GarlandFVAN | VAN | 2.25 | 1,224 | 46 | 10%▲7.4 |
| 71 | Alexander KerfootFTOR | TOR | 2.25 | 1,199 | 45 | 3.2%▲3.1 |
| 72 | Kaapo KakkoFNYR | NYR | 2.25 | 1,255 | 47 | 18%▲16 |
| 73 | Jack EichelFVGK | VGK | 2.24 | 1,257 | 47 | 99%▲1.4 |
| 74 | Tyler MotteFOTT/NYR | OTT/NYR | 2.23 | 780 | 29 | — |
| 75 | Conor ShearyFWSH | WSH | 2.23 | 1,293 | 48 | 0.1% |
| 76 | Wyatt JohnstonFDAL | DAL | 2.22 | 1,270 | 47 | 100%▲0.9 |
| 77 | Yegor SharangovichFNJD | NJD | 2.22 | 1,081 | 40 | 7.8%▲0.9 |
| 78 | Erik HaulaFNJD | NJD | 2.21 | 1,330 | 49 | 12%▲8.7 |
| 79 | Tim StützleFOTT | OTT | 2.21 | 1,659 | 61 | 99%▲0.8 |
| 80 | Mark ScheifeleFWPG | WPG | 2.21 | 1,659 | 61 | 99% |
| 81 | Nico SturmFSJS | SJS | 2.20 | 1,090 | 40 | 0.1% |
| 82 | Blake WheelerFWPG | WPG | 2.20 | 1,227 | 45 | — |
| 83 | Pierre-Edouard BellemareFTBL | TBL | 2.19 | 824 | 30 | — |
| 84 | Derek StepanFCAR | CAR | 2.17 | 663 | 24 | — |
| 85 | Logan O'ConnorFCOL | COL | 2.16 | 1,165 | 42 | 0.2% |
| 86 | Kevin LabancFSJS | SJS | 2.15 | 1,031 | 37 | — |
| 87 | Eetu LuostarinenFFLA | FLA | 2.15 | 1,311 | 47 | 12%▲10 |
| 88 | Jonathan DrouinFMTL | MTL | 2.15 | 865 | 31 | 0.5% |
| 89 | Dylan LarkinFDET | DET | 2.15 | 1,564 | 56 | 96% |
| 90 | Mike MathesonDMTL | MTL | 2.15 | 1,174 | 42 | 85%▼7.8 |
| 91 | Sidney CrosbyFPIT | PIT | 2.14 | 1,652 | 59 | 100%▲2.4 |
| 92 | Ivan BarbashevFSTL/VGK | STL/VGK | 2.14 | 1,374 | 49 | 68%▲27 |
| 93 | Mason MarchmentFDAL | DAL | 2.13 | 1,068 | 38 | 47%▲34 |
| 94 | Tyler JohnsonFCHI | CHI | 2.13 | 928 | 33 | — |
| 95 | Jaden SchwartzFSEA | SEA | 2.13 | 1,237 | 44 | 11%▲11 |
| 96 | Kirill KaprizovFMIN | MIN | 2.12 | 1,415 | 50 | 98%▼0.9 |
| 97 | K'Andre MillerDNYR | NYR | 2.11 | 1,734 | 61 | 64%▲26 |
| 98 | Jordan MartinookFCAR | CAR | 2.11 | 1,282 | 45 | 4.3%▲2.7 |
| 99 | Vladislav NamestnikovFTBL/WPG | TBL/WPG | 2.10 | 972 | 34 | 0.1% |
| 100 | Mika ZibanejadFNYR | NYR | 2.09 | 1,637 | 57 | 98%▲1.4 |
Minimum sample: 492 minutes (it scales with games played). 329 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.