More skater stats
NHL Takeaways per 60 Leaders
2025-26All 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 2025-26: Jaccob Slavin (CAR), 2.31 TK/60.
Takeaways per 60 leaderboard
| # | Player | Team | TK/60 | TK | ||
|---|---|---|---|---|---|---|
| 1 | Jaccob SlavinDCAR | CAR | 2.31 | 831 | 32 | 16%▲4.6 |
| 2 | Josh DoanFBUF | BUF | 2.12 | 1,301 | 46 | 61%▲44 |
| 3 | Joel ArmiaFLAK | LAK | 1.91 | 942 | 30 | 3.3%▲3.1 |
| 4 | Kirill MarchenkoFCBJ | CBJ | 1.88 | 1,440 | 45 | 98%▲7.4 |
| 5 | Filip ForsbergFNSH | NSH | 1.86 | 1,549 | 48 | 99%▲1.7 |
| 6 | Jaden SchwartzFSEA | SEA | 1.86 | 807 | 25 | 11%▲11 |
| 7 | Seth JarvisFCAR | CAR | 1.84 | 1,340 | 41 | 95%▲1.4 |
| 8 | Ryan O'ReillyFNSH | NSH | 1.82 | 1,652 | 50 | 84%▲5 |
| 9 | Evgeni MalkinFPIT | PIT | 1.77 | 985 | 29 | 82%▲11 |
| 10 | Mark KastelicFBOS | BOS | 1.74 | 1,035 | 30 | 13%▲12 |
| 11 | Jack HughesFNJD | NJD | 1.71 | 1,300 | 37 | 100% |
| 12 | Alex DeBrincatFDET | DET | 1.70 | 1,517 | 43 | 100%▲2.5 |
| 13 | Nick SchmaltzFUTA | UTA | 1.67 | 1,617 | 45 | 94%▲4.4 |
| 14 | Adam FoxDNYR | NYR | 1.66 | 1,300 | 36 | 99%▲6.8 |
| 15 | Kaiden GuhleDMTL | MTL | 1.66 | 759 | 21 | 19%▲18 |
| 16 | John CarlsonDWSH/ANA | WSH/ANA | 1.64 | 1,644 | 45 | 99%▲2.4 |
| 17 | K'Andre MillerDCAR | CAR | 1.64 | 1,612 | 44 | 64%▲26 |
| 18 | Vinnie HinostrozaFMIN/FLA | MIN/FLA | 1.60 | 711 | 19 | 0.0% |
| 19 | Dominic JamesFTBL | TBL | 1.60 | 526 | 14 | 5.6%▲5.5 |
| 20 | Evan RodriguesFFLA | FLA | 1.59 | 1,173 | 31 | 8.3%▲6.5 |
| 21 | Matt SavoieFEDM | EDM | 1.58 | 1,212 | 32 | 37%▲32 |
| 22 | Jackson LaCombeDANA | ANA | 1.57 | 1,988 | 52 | 98%▲9.6 |
| 23 | Uvis BalinskisDFLA | FLA | 1.56 | 884 | 23 | 4.0%▲3.9 |
| 24 | Alex TuchFBUF | BUF | 1.56 | 1,501 | 39 | 94%▼5.5 |
| 25 | Ryan McLeodFBUF | BUF | 1.56 | 1,427 | 37 | 26%▲20 |
| 26 | Ryan WintertonFSEA | SEA | 1.55 | 815 | 21 | 4.0%▲3.9 |
| 27 | Tyson JostFNSH | NSH | 1.54 | 857 | 22 | 0.0% |
| 28 | Logan CooleyFUTA | UTA | 1.54 | 936 | 24 | 94%▲9.3 |
| 29 | Collin GrafFSJS | SJS | 1.53 | 1,332 | 34 | 28%▲24 |
| 30 | Robert ThomasFSTL | STL | 1.53 | 1,217 | 31 | 93%▲20 |
| 31 | Leo CarlssonFANA | ANA | 1.52 | 1,341 | 34 | 94%▲11 |
| 32 | Michael AmadioFOTT | OTT | 1.52 | 1,306 | 33 | 3.3%▲2.6 |
| 33 | Kevin BahlDCGY | CGY | 1.51 | 1,668 | 42 | 4.8%▲4.6 |
| 34 | Cole SillingerFCBJ | CBJ | 1.51 | 1,233 | 31 | 12%▲9.9 |
| 35 | Mathew BarzalFNYI | NYI | 1.51 | 1,673 | 42 | 84%▲11 |
| 36 | Brandon HagelFTBL | TBL | 1.50 | 1,403 | 35 | 99%▲1.4 |
| 37 | Mitch MarnerFVGK | VGK | 1.48 | 1,617 | 40 | 99%▲1.3 |
| 38 | Tyler KlevenDOTT | OTT | 1.48 | 1,214 | 30 | 8.0%▲7.9 |
| 39 | William NylanderFTOR | TOR | 1.47 | 1,262 | 31 | 99%▼0.8 |
| 40 | Drew HellesonDANA | ANA | 1.47 | 1,018 | 25 | 9.6%▲9.5 |
| 41 | Mason MarchmentFCBJ/SEA | CBJ/SEA | 1.47 | 1,181 | 29 | 47%▲34 |
| 42 | Kailer YamamotoFUTA | UTA | 1.47 | 696 | 17 | 0.2% |
| 43 | Andre BurakovskyFCHI | CHI | 1.46 | 1,231 | 30 | 5.6%▲5.4 |
| 44 | Mark StoneFVGK | VGK | 1.46 | 1,153 | 28 | 93%▲9.6 |
| 45 | Zach BensonFBUF | BUF | 1.45 | 1,033 | 25 | 56%▲44 |
| 46 | Justin HryckowianFDAL | DAL | 1.45 | 1,077 | 26 | 19%▲18 |
| 47 | Auston MatthewsFTOR | TOR | 1.44 | 1,248 | 30 | 99% |
| 48 | Arseny GritsyukFNJD | NJD | 1.44 | 1,002 | 24 | 22%▲21 |
| 49 | Tommy NovakFPIT | PIT | 1.43 | 1,171 | 28 | 11%▲9.1 |
| 50 | Sean CouturierFPHI | PHI | 1.43 | 1,299 | 31 | 9.2%▲7.2 |
| 51 | Wyatt KaiserDCHI | CHI | 1.43 | 1,510 | 36 | 6.5%▲6.2 |
| 52 | Ben HuttonDVGK | VGK | 1.42 | 802 | 19 | — |
| 53 | Simon HolmstromFNYI | NYI | 1.41 | 1,322 | 31 | 16%▲14 |
| 54 | Macklin CelebriniFSJS | SJS | 1.41 | 1,748 | 41 | 100%▲1 |
| 55 | Quinton ByfieldFLAK | LAK | 1.40 | 1,582 | 37 | 86%▲18 |
| 56 | Nick RobertsonFTOR | TOR | 1.40 | 988 | 23 | 28%▲27 |
| 57 | Tyson KozakFBUF | BUF | 1.39 | 519 | 12 | 3.2%▲3.2 |
| 58 | Conor GarlandFVAN/CBJ | VAN/CBJ | 1.38 | 1,221 | 28 | 10%▲7.4 |
| 59 | Ian MooreDANA | ANA | 1.38 | 916 | 21 | 5.6%▲5.5 |
| 60 | Charlie CoyleFCBJ | CBJ | 1.37 | 1,484 | 34 | 49%▼11 |
| 61 | Oliver MooreFCHI | CHI | 1.37 | 655 | 15 | 22%▲21 |
| 62 | Mathieu JosephFSTL/LAK | STL/LAK | 1.37 | 611 | 14 | 0.1% |
| 63 | Rasmus SandinDWSH | WSH | 1.37 | 1,402 | 32 | 14%▲11 |
| 64 | Jonny BrodzinskiFNYR | NYR | 1.37 | 614 | 14 | 0.0% |
| 65 | Frederick GaudreauFSEA | SEA | 1.37 | 1,098 | 25 | 0.2% |
| 66 | Blake ColemanFCGY | CGY | 1.35 | 1,196 | 27 | 38%▼24 |
| 67 | Fedor SvechkovFNSH | NSH | 1.35 | 845 | 19 | 8.0%▲7.9 |
| 68 | Jackson BlakeFCAR | CAR | 1.35 | 1,336 | 30 | 69%▲21 |
| 69 | Noah HanifinDVGK | VGK | 1.35 | 1,605 | 36 | 53%▼22 |
| 70 | Logan StankovenFCAR | CAR | 1.34 | 1,251 | 28 | 67%▲42 |
| 71 | Troy TerryFANA | ANA | 1.34 | 1,119 | 25 | 47%▲34 |
| 72 | Frank NazarFCHI | CHI | 1.34 | 1,209 | 27 | 54%▲34 |
| 73 | Thomas HarleyDDAL | DAL | 1.34 | 1,614 | 36 | 88%▲8.6 |
| 74 | Tye KartyeFSEA/NYR | SEA/NYR | 1.33 | 766 | 17 | 7.2%▲7.1 |
| 75 | Brandon MontourDSEA | SEA | 1.33 | 1,444 | 32 | 83%▲10 |
| 76 | Ville KoivunenFPIT | PIT | 1.33 | 497 | 11 | 17%▲17 |
| 77 | Elias PetterssonFVAN | VAN | 1.33 | 1,403 | 31 | 87%▼5.5 |
| 78 | Lane HutsonDMTL | MTL | 1.32 | 1,949 | 43 | 99%▲3.1 |
| 79 | Yakov TreninFMIN | MIN | 1.32 | 1,089 | 24 | 22%▲16 |
| 80 | Connor McMichaelFWSH | WSH | 1.32 | 1,319 | 29 | 34%▲27 |
| 81 | Tyson FoersterFPHI | PHI | 1.32 | 502 | 11 | 42%▲38 |
| 82 | Max DomiFTOR | TOR | 1.31 | 1,191 | 26 | 5.8%▲4.6 |
| 83 | Kirby DachFMTL | MTL | 1.31 | 505 | 11 | 12%▲12 |
| 84 | Matt BoldyFMIN | MIN | 1.30 | 1,563 | 34 | 100% |
| 85 | Mikael BacklundFCGY | CGY | 1.30 | 1,472 | 32 | 14%▲9.3 |
| 86 | Trevor MooreFLAK | LAK | 1.30 | 1,154 | 25 | 9.1% |
| 87 | Michael McCarronFNSH/MIN | NSH/MIN | 1.30 | 1,108 | 24 | 7.3%▲6.9 |
| 88 | Ben KindelFPIT | PIT | 1.29 | 1,160 | 25 | 40%▲31 |
| 89 | Ryan DonatoFCHI | CHI | 1.29 | 1,208 | 26 | 9.9%▲4.3 |
| 90 | Cale MakarDCOL | COL | 1.29 | 1,864 | 40 | 100%▲1 |
| 91 | Jakob ChychrunDWSH | WSH | 1.29 | 1,867 | 40 | 99% |
| 92 | Alexander WennbergFSJS | SJS | 1.28 | 1,636 | 35 | 25%▼1.6 |
| 93 | Carter VerhaegheFFLA | FLA | 1.28 | 1,356 | 29 | 72% |
| 94 | Brett PesceDNJD | NJD | 1.28 | 751 | 16 | 0.3% |
| 95 | Fraser MintenFBOS | BOS | 1.27 | 1,275 | 27 | 47%▲38 |
| 96 | Rickard RakellFPIT | PIT | 1.27 | 1,137 | 24 | 83%▲11 |
| 97 | Tim StützleFOTT | OTT | 1.26 | 1,621 | 34 | 99%▲0.8 |
| 98 | Braeden BowmanFVGK | VGK | 1.26 | 763 | 16 | 16%▲16 |
| 99 | Nikita GrebenkinFPHI | PHI | 1.26 | 621 | 13 | 0.1% |
| 100 | Kiefer SherwoodFVAN/SJS | VAN/SJS | 1.25 | 1,243 | 26 | 59%▲6.6 |
Minimum sample: 492 minutes (it scales with games played). 321 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.