On-ice results
High-Danger Chances For per 60 (HDCF/60) Leaders
2025-26All situationsThrough 82 team games
High-danger chances are the attempts from the slot and crease area, plus rebounds and rush chances that the War-on-Ice scoring-chance scale rates 3 or higher. This board ranks how many of them a skater's team creates per 60 minutes while he is on the ice.
It is a rate, so a third-liner with 600 good minutes can outrank a star with 1,200 ordinary ones. The HDCA/60 column shows what the same minutes gave up.
Leader in 2025-26: Zach Hyman (EDM), 20.50 HDCF/60.
HDCF/60 leaderboard
| # | Player | Team | |||||
|---|---|---|---|---|---|---|---|
| 1 | Zach HymanFEDM | EDM | 20.50 | 1,159 | 10.72 | 65.7% | 98%▼1.4 |
| 2 | Matthew TkachukFFLA | FLA | 20.30 | 567 | 11.00 | 64.9% | 100%▲2.7 |
| 3 | Tomas HertlFVGK | VGK | 20.06 | 1,397 | 7.99 | 71.5% | 83%▲2.9 |
| 4 | Brady TkachukFOTT | OTT | 19.46 | 1,018 | 8.37 | 69.9% | 100%▲2.2 |
| 5 | Pavel DorofeyevFVGK | VGK | 18.75 | 1,444 | 7.48 | 71.5% | 92%▲1.7 |
| 6 | Brad MarchandFFLA | FLA | 18.74 | 922 | 12.43 | 60.1% | 73%▲0.9 |
| 7 | Mark StoneFVGK | VGK | 18.63 | 1,153 | 8.17 | 69.5% | 93%▲9 |
| 8 | Jason RobertsonFDAL | DAL | 18.24 | 1,661 | 8.67 | 67.8% | 100%▲0.5 |
| 9 | Ryan Nugent-HopkinsFEDM | EDM | 18.19 | 1,372 | 11.41 | 61.4% | 77%▲15 |
| 10 | Mitch MarnerFVGK | VGK | 18.15 | 1,617 | 8.50 | 68.1% | 99%▲1.1 |
| 11 | Jesper BrattFNJD | NJD | 18.13 | 1,539 | 11.15 | 61.9% | 96%▲11 |
| 12 | Evgeni MalkinFPIT | PIT | 18.09 | 985 | 11.81 | 60.5% | 82%▲10 |
| 13 | Connor McDavidFEDM | EDM | 18.08 | 1,885 | 10.31 | 63.7% | 100%▲1.5 |
| 14 | Jack EichelFVGK | VGK | 18.01 | 1,569 | 8.95 | 66.8% | 99%▲1.4 |
| 15 | Sam BennettFFLA | FLA | 17.85 | 1,405 | 11.31 | 61.2% | 83%▲4 |
| 16 | Alex OvechkinFWSH | WSH | 17.70 | 1,431 | 10.65 | 62.4% | 96%▲1.3 |
| 17 | Nikita KucherovFTBL | TBL | 17.63 | 1,545 | 9.67 | 64.6% | 100% |
| 18 | Jack HughesFNJD | NJD | 17.54 | 1,300 | 10.66 | 62.2% | 100% |
| 19 | Josh NorrisFBUF | BUF | 17.48 | 697 | 9.91 | 63.8% | 39%▲32 |
| 20 | Sidney CrosbyFPIT | PIT | 17.44 | 1,308 | 11.79 | 59.7% | 100%▲2.4 |
| 21 | Chris KreiderFANA | ANA | 17.41 | 1,279 | 11.31 | 60.6% | 62%▲29 |
| 22 | Nico HischierFNJD | NJD | 17.34 | 1,699 | 11.83 | 59.4% | 98%▲3 |
| 23 | Leo CarlssonFANA | ANA | 17.27 | 1,341 | 12.22 | 58.6% | 94%▲10 |
| 24 | Quinn HughesDMIN/VAN | MIN/VAN | 17.25 | 2,053 | 10.99 | 61.1% | 100% |
| 25 | Mikko RantanenFDAL | DAL | 17.24 | 1,291 | 9.85 | 63.6% | 99%▲0.7 |
| 26 | Wyatt JohnstonFDAL | DAL | 17.13 | 1,650 | 10.94 | 61.0% | 100%▲0.8 |
| 27 | James van RiemsdykFDET | DET | 17.09 | 846 | 10.07 | 62.9% | 0.3% |
| 28 | Nathan MacKinnonFCOL | COL | 16.91 | 1,781 | 10.34 | 62.1% | 100%▲0.8 |
| 29 | Roope HintzFDAL | DAL | 16.91 | 919 | 8.75 | 65.9% | 85%▲7.6 |
| 30 | Rickard RakellFPIT | PIT | 16.89 | 1,137 | 12.09 | 58.3% | 82%▲9.9 |
| 31 | Darren RaddyshDTBL | TBL | 16.84 | 1,657 | 9.74 | 63.4% | 100%▲3.5 |
| 32 | Dylan StromeFWSH | WSH | 16.80 | 1,443 | 11.85 | 58.6% | 82%▲10 |
| 33 | Adam FoxDNYR | NYR | 16.66 | 1,300 | 8.26 | 66.9% | 99%▲6.5 |
| 34 | Mats ZuccarelloFMIN | MIN | 16.64 | 1,100 | 10.31 | 61.7% | 50%▲28 |
| 35 | Brandon HagelFTBL | TBL | 16.59 | 1,403 | 12.10 | 57.8% | 100%▲1.9 |
| 36 | Evan BouchardDEDM | EDM | 16.57 | 2,024 | 11.27 | 59.5% | 100% |
| 37 | Alex DeBrincatFDET | DET | 16.53 | 1,517 | 9.41 | 63.7% | 100%▲2.6 |
| 38 | Timo MeierFNJD | NJD | 16.50 | 1,426 | 11.03 | 59.9% | 82%▼8 |
| 39 | Taylor HallFCAR | CAR | 16.47 | 1,162 | 9.96 | 62.3% | 28%▲21 |
| 40 | Troy TerryFANA | ANA | 16.46 | 1,119 | 12.17 | 57.5% | 47%▲34 |
| 41 | Dylan CozensFOTT | OTT | 16.45 | 1,397 | 7.73 | 68.0% | 90%▲3.6 |
| 42 | Jackson BlakeFCAR | CAR | 16.39 | 1,336 | 9.65 | 62.9% | 68%▲21 |
| 43 | Anders LeeFNYI | NYI | 16.38 | 1,282 | 11.84 | 58.0% | 29%▼20 |
| 44 | Ethen FrankFWSH | WSH | 16.37 | 759 | 10.12 | 61.8% | 3.2%▲3.1 |
| 45 | Logan StankovenFCAR | CAR | 16.35 | 1,251 | 9.73 | 62.7% | 67%▲42 |
| 46 | Elias PetterssonFVAN | VAN | 16.29 | 1,403 | 11.89 | 57.8% | 87%▼5.8 |
| 47 | Beckett SenneckeFANA | ANA | 16.27 | 1,431 | 11.58 | 58.4% | 93%▲13 |
| 48 | Leon DraisaitlFEDM | EDM | 16.17 | 1,402 | 10.31 | 61.1% | 100% |
| 49 | Jake DeBruskFVAN | VAN | 16.12 | 1,366 | 12.16 | 57.0% | 49%▼20 |
| 50 | Trevor ZegrasFPHI | PHI | 16.11 | 1,516 | 9.02 | 64.1% | 86%▲19 |
| 51 | Bryan RustFPIT | PIT | 16.09 | 1,436 | 12.20 | 56.9% | 86%▲3.2 |
| 52 | Kirill KaprizovFMIN | MIN | 16.05 | 1,727 | 9.83 | 62.0% | 98%▼0.8 |
| 53 | Mikael GranlundFANA | ANA | 16.02 | 1,112 | 12.57 | 56.0% | 51%▼13 |
| 54 | Patrick KaneFDET | DET | 15.99 | 1,186 | 9.21 | 63.5% | 80%▲0.9 |
| 55 | Jake GuentzelFTBL | TBL | 15.99 | 1,640 | 9.92 | 61.7% | 100% |
| 56 | Carter VerhaegheFFLA | FLA | 15.93 | 1,356 | 11.33 | 58.4% | 73%▲1 |
| 57 | Nikolaj EhlersFCAR | CAR | 15.92 | 1,361 | 9.52 | 62.6% | 93%▲7.9 |
| 58 | Josh DoanFBUF | BUF | 15.91 | 1,301 | 10.24 | 60.8% | 61%▲44 |
| 59 | Jakob ChychrunDWSH | WSH | 15.91 | 1,867 | 11.02 | 59.1% | 99%▼0.6 |
| 60 | Drake BathersonFOTT | OTT | 15.84 | 1,371 | 8.80 | 64.3% | 97%▲7.4 |
| 61 | Alexis LafrenièreFNYR | NYR | 15.80 | 1,443 | 8.77 | 64.3% | 82%▲13 |
| 62 | Sam ReinhartFFLA | FLA | 15.77 | 1,362 | 10.31 | 60.5% | 99% |
| 63 | Andrei KuzmenkoFLAK | LAK | 15.70 | 776 | 8.51 | 64.9% | 11%▲9.8 |
| 64 | Nazem KadriFCGY/COL | CGY/COL | 15.68 | 1,466 | 10.77 | 59.3% | 70%▼9.7 |
| 65 | Martin NecasFCOL | COL | 15.67 | 1,677 | 10.05 | 60.9% | 100%▲1.3 |
| 66 | Mason McTavishFANA | ANA | 15.67 | 1,149 | 11.91 | 56.8% | 51%▲36 |
| 67 | Andrei SvechnikovFCAR | CAR | 15.65 | 1,342 | 10.82 | 59.1% | 97%▲8.5 |
| 68 | Jordan SpenceDOTT | OTT | 15.63 | 1,367 | 8.91 | 63.7% | 21%▲17 |
| 69 | Mackie SamoskevichFFLA | FLA | 15.62 | 1,114 | 9.42 | 62.4% | — |
| 70 | Jason ZuckerFBUF | BUF | 15.61 | 969 | 10.59 | 59.6% | 23%▲18 |
| 71 | Luke EvangelistaFNSH | NSH | 15.60 | 1,346 | 9.18 | 62.9% | 70%▲23 |
| 72 | Zach BensonFBUF | BUF | 15.57 | 1,033 | 11.68 | 57.1% | 56%▲44 |
| 73 | Lucas RaymondFDET | DET | 15.56 | 1,504 | 9.85 | 61.2% | 96%▲10 |
| 74 | Gabriel LandeskogFCOL | COL | 15.47 | 985 | 10.60 | 59.3% | 50%▲32 |
| 75 | Cutter GauthierFANA | ANA | 15.47 | 1,311 | 11.90 | 56.5% | 98%▲1 |
| 76 | Alex TurcotteFLAK | LAK | 15.47 | 671 | 10.46 | 59.7% | 8.8%▲8.8 |
| 77 | Steven StamkosFNSH | NSH | 15.43 | 1,462 | 10.26 | 60.1% | 94%▼3.7 |
| 78 | Erik KarlssonDPIT | PIT | 15.39 | 1,770 | 12.03 | 56.1% | 95% |
| 79 | Tom WilsonFWSH | WSH | 15.37 | 1,401 | 11.73 | 56.7% | 95%▲6.5 |
| 80 | Matt BoldyFMIN | MIN | 15.35 | 1,563 | 11.21 | 57.8% | 100% |
| 81 | William EklundFSJS | SJS | 15.35 | 1,446 | 10.91 | 58.5% | 81%▲18 |
| 82 | Brock NelsonFCOL | COL | 15.34 | 1,592 | 10.52 | 59.3% | 87%▼4 |
| 83 | Clayton KellerFUTA | UTA | 15.34 | 1,565 | 9.20 | 62.5% | 100%▲2 |
| 84 | Tommy NovakFPIT | PIT | 15.32 | 1,171 | 11.12 | 57.9% | 11%▲9.1 |
| 85 | Shayne GostisbehereDCAR | CAR | 15.32 | 1,058 | 9.76 | 61.1% | 96%▲16 |
| 86 | Brayden PointFTBL | TBL | 15.28 | 1,150 | 8.76 | 63.6% | 95%▲7.7 |
| 87 | J.T. MillerFNYR | NYR | 15.24 | 1,370 | 11.61 | 56.8% | 92%▲7.9 |
| 88 | Mathew BarzalFNYI | NYI | 15.24 | 1,674 | 11.04 | 58.0% | 83%▲10 |
| 89 | Tyler ToffoliFSJS | SJS | 15.22 | 1,183 | 10.04 | 60.2% | 38%▼17 |
| 90 | William NylanderFTOR | TOR | 15.21 | 1,262 | 11.36 | 57.2% | 99%▼0.9 |
| 91 | Auston MatthewsFTOR | TOR | 15.19 | 1,248 | 13.03 | 53.8% | 99% |
| 92 | Linus KarlssonFVAN | VAN | 15.17 | 989 | 10.92 | 58.1% | 11%▲9.5 |
| 93 | Artemi PanarinFNYR/LAK | NYR/LAK | 15.17 | 1,626 | 9.08 | 62.6% | 98%▼1.2 |
| 94 | Jackson LaCombeDANA | ANA | 15.12 | 1,988 | 12.64 | 54.5% | 97%▲9.4 |
| 95 | Matvei MichkovFPHI | PHI | 15.07 | 1,202 | 8.64 | 63.6% | 86%▲23 |
| 96 | Dylan GuentherFUTA | UTA | 15.06 | 1,374 | 10.39 | 59.2% | 99%▲2 |
| 97 | Gabriel VilardiFWPG | WPG | 15.03 | 1,537 | 10.85 | 58.1% | 80%▲7.7 |
| 98 | Mark ScheifeleFWPG | WPG | 14.97 | 1,763 | 11.74 | 56.1% | 100% |
| 99 | Kevin FialaFLAK | LAK | 14.96 | 1,071 | 9.92 | 60.1% | 67%▼8.4 |
| 100 | Sebastian AhoFCAR | CAR | 14.95 | 1,549 | 11.66 | 56.2% | 99%▲0.9 |
Minimum sample: 492 min (it scales with games played and sequence coverage). 321 below the minimum are hidden.
How to read it
League average at 5-on-5 is roughly 10-12 HDCF/60 per team; the leaders sit well above that.
How reliable is it?
Chance counts are less noisy than goals but more than all attempts; give them 400+ minutes before trusting a ranking.
How scoring chances are graded →Related leaderboards
- 5v5 xGF%50% is break-even. 55% means the skater's team took 55% of the expected goals while he was on the ice.
- Transition attempts/60Individual attempts per 60. The count column is the raw number of transition shots, so you can see how much the rate rests on.
- Shot DietExpected goals per unblocked attempt. League average is about 0.06-0.07; 0.10+ is an elite diet.