On-ice results
High-Danger Chances For per 60 (HDCF/60) Leaders
2025-265-on-5Through 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), 16.75 HDCF/60.
HDCF/60 leaderboard
| # | Player | Team | |||||
|---|---|---|---|---|---|---|---|
| 1 | Zach HymanFEDM | EDM | 16.75 | 889 | 12.15 | 57.9% | 98%▼1.4 |
| 2 | Brandon HagelFTBL | TBL | 16.32 | 985 | 11.33 | 59.0% | 100%▲1.9 |
| 3 | Brady TkachukFOTT | OTT | 15.50 | 751 | 9.99 | 60.8% | 100%▲2.2 |
| 4 | Alex TurcotteFLAK | LAK | 15.43 | 642 | 10.47 | 59.6% | 8.8%▲8.8 |
| 5 | Jack McBainFUTA | UTA | 15.27 | 872 | 12.04 | 55.9% | 18%▲15 |
| 6 | Anthony CirelliFTBL | TBL | 15.11 | 874 | 11.60 | 56.6% | 51%▲19 |
| 7 | Eric RobinsonFCAR | CAR | 15.09 | 684 | 10.35 | 59.3% | 3.2%▲3.1 |
| 8 | Nathan MacKinnonFCOL | COL | 15.07 | 1,313 | 12.43 | 54.8% | 100%▲0.8 |
| 9 | Connor McDavidFEDM | EDM | 14.95 | 1,389 | 11.06 | 57.5% | 100%▲1.5 |
| 10 | Devon ToewsDCOL | COL | 14.89 | 1,189 | 11.31 | 56.8% | 60%▼2.3 |
| 11 | Tommy NovakFPIT | PIT | 14.86 | 1,021 | 11.40 | 56.6% | 11%▲9.1 |
| 12 | Jordan SpenceDOTT | OTT | 14.85 | 1,212 | 9.11 | 62.0% | 21%▲17 |
| 13 | Jeff MalottFLAK | LAK | 14.84 | 505 | 10.45 | 58.7% | 0.0% |
| 14 | Chris KreiderFANA | ANA | 14.82 | 935 | 12.51 | 54.2% | 62%▲29 |
| 15 | Brock NelsonFCOL | COL | 14.82 | 1,085 | 11.12 | 57.1% | 87%▼4 |
| 16 | Joel NystromDCAR | CAR | 14.82 | 522 | 9.65 | 60.6% | 4.0%▲4 |
| 17 | Gabriel LandeskogFCOL | COL | 14.75 | 793 | 12.03 | 55.1% | 50%▲32 |
| 18 | Nikita KucherovFTBL | TBL | 14.75 | 1,115 | 11.20 | 56.8% | 100% |
| 19 | Mark JankowskiFCAR | CAR | 14.72 | 656 | 9.69 | 60.3% | 0.2% |
| 20 | Anders LeeFNYI | NYI | 14.65 | 1,048 | 13.05 | 52.9% | 29%▼20 |
| 21 | Zach BensonFBUF | BUF | 14.62 | 837 | 12.47 | 54.0% | 56%▲44 |
| 22 | Valeri NichushkinFCOL | COL | 14.56 | 948 | 9.81 | 59.7% | 60% |
| 23 | Nick BlankenburgDNSH/COL | NSH/COL | 14.55 | 825 | 10.55 | 58.0% | 6.4%▲6.3 |
| 24 | Mattias EkholmDEDM | EDM | 14.54 | 1,432 | 10.39 | 58.3% | 77%▲9.7 |
| 25 | Darren RaddyshDTBL | TBL | 14.49 | 1,230 | 10.59 | 57.8% | 100%▲3.5 |
| 26 | Logan StankovenFCAR | CAR | 14.49 | 1,089 | 10.69 | 57.5% | 67%▲42 |
| 27 | Ethen FrankFWSH | WSH | 14.48 | 655 | 11.55 | 55.6% | 3.2%▲3.1 |
| 28 | Mikael GranlundFANA | ANA | 14.41 | 754 | 12.42 | 53.7% | 51%▼13 |
| 29 | Beckett SenneckeFANA | ANA | 14.40 | 1,145 | 12.41 | 53.7% | 93%▲13 |
| 30 | Evan BouchardDEDM | EDM | 14.28 | 1,466 | 10.72 | 57.1% | 100% |
| 31 | John CarlsonDWSH/ANA | WSH/ANA | 14.27 | 1,190 | 11.90 | 54.5% | 99%▲2.2 |
| 32 | Mason McTavishFANA | ANA | 14.26 | 938 | 13.04 | 52.2% | 51%▲36 |
| 33 | William CarrierFCAR | CAR | 14.26 | 741 | 8.99 | 61.3% | 0.1% |
| 34 | Ross ColtonFCOL | COL | 14.26 | 842 | 10.69 | 57.1% | 8.1%▲7.8 |
| 35 | Brad MarchandFFLA | FLA | 14.24 | 619 | 15.60 | 47.7% | 73%▲0.9 |
| 36 | Artturi LehkonenFCOL | COL | 14.19 | 998 | 12.33 | 53.5% | 54%▲37 |
| 37 | Taylor HallFCAR | CAR | 14.13 | 1,002 | 10.90 | 56.5% | 28%▲21 |
| 38 | Leo CarlssonFANA | ANA | 14.12 | 948 | 13.23 | 51.6% | 94%▲10 |
| 39 | Evgeni MalkinFPIT | PIT | 14.12 | 752 | 13.88 | 50.4% | 82%▲10 |
| 40 | Adam FoxDNYR | NYR | 14.09 | 1,014 | 7.81 | 64.3% | 99%▲6.5 |
| 41 | Rickard RakellFPIT | PIT | 14.07 | 831 | 12.70 | 52.6% | 82%▲9.9 |
| 42 | Ryan Nugent-HopkinsFEDM | EDM | 14.07 | 955 | 11.62 | 54.8% | 77%▲15 |
| 43 | Radko GudasDANA | ANA | 13.94 | 801 | 12.66 | 52.4% | 25%▲22 |
| 44 | Aliaksei ProtasFWSH | WSH | 13.92 | 1,112 | 12.03 | 53.6% | 59%▲33 |
| 45 | Michael CarconeFUTA | UTA | 13.91 | 915 | 11.09 | 55.6% | 5.0%▲4 |
| 46 | Jackson BlakeFCAR | CAR | 13.90 | 1,097 | 10.50 | 57.0% | 68%▲21 |
| 47 | Luke EvangelistaFNSH | NSH | 13.90 | 1,118 | 9.87 | 58.5% | 70%▲23 |
| 48 | Jeffrey VielFANA/BOS | ANA/BOS | 13.84 | 520 | 13.15 | 51.3% | 4.0%▲3.9 |
| 49 | Mike ReillyDCAR | CAR | 13.84 | 568 | 9.72 | 58.7% | 0.1% |
| 50 | Nico HischierFNJD | NJD | 13.77 | 1,203 | 11.17 | 55.2% | 98%▲3 |
| 51 | Sidney CrosbyFPIT | PIT | 13.76 | 1,007 | 12.99 | 51.4% | 100%▲2.4 |
| 52 | Sam MalinskiDCOL | COL | 13.76 | 1,322 | 9.94 | 58.0% | 56%▲33 |
| 53 | Martin NecasFCOL | COL | 13.75 | 1,269 | 12.15 | 53.1% | 100%▲1.3 |
| 54 | Nate SchmidtDUTA | UTA | 13.75 | 1,361 | 10.84 | 55.9% | 4.9%▲4.5 |
| 55 | Josh DoanFBUF | BUF | 13.74 | 1,026 | 11.34 | 54.8% | 61%▲44 |
| 56 | K'Andre MillerDCAR | CAR | 13.74 | 1,332 | 10.40 | 56.9% | 64%▲26 |
| 57 | Tom WilsonFWSH | WSH | 13.68 | 961 | 10.62 | 56.3% | 95%▲6.5 |
| 58 | Olen ZellwegerDANA | ANA | 13.66 | 1,111 | 12.64 | 52.0% | 31%▲28 |
| 59 | Jordan MartinookFCAR | CAR | 13.65 | 945 | 10.54 | 56.4% | 4.3%▲2.7 |
| 60 | Sam BennettFFLA | FLA | 13.64 | 1,007 | 12.51 | 52.2% | 83%▲4 |
| 61 | Troy TerryFANA | ANA | 13.64 | 805 | 13.04 | 51.1% | 47%▲34 |
| 62 | Shayne GostisbehereDCAR | CAR | 13.63 | 827 | 10.95 | 55.5% | 96%▲16 |
| 63 | Sean WalkerDCAR | CAR | 13.62 | 1,458 | 10.21 | 57.2% | 60%▼11 |
| 64 | Mackie SamoskevichFFLA | FLA | 13.62 | 925 | 10.38 | 56.8% | — |
| 65 | Brent BurnsDCOL | COL | 13.62 | 1,269 | 10.64 | 56.1% | 50%▼14 |
| 66 | Erik KarlssonDPIT | PIT | 13.61 | 1,270 | 11.76 | 53.6% | 95% |
| 67 | Jakob ChychrunDWSH | WSH | 13.57 | 1,472 | 12.39 | 52.3% | 99%▼0.6 |
| 68 | Andrei SvechnikovFCAR | CAR | 13.55 | 1,028 | 12.38 | 52.3% | 97%▲8.5 |
| 69 | Jack EichelFVGK | VGK | 13.54 | 1,081 | 9.10 | 59.8% | 99%▲1.4 |
| 70 | Josh NorrisFBUF | BUF | 13.54 | 514 | 10.85 | 55.5% | 39%▲32 |
| 71 | Bryan RustFPIT | PIT | 13.52 | 1,003 | 12.80 | 51.4% | 86%▲3.2 |
| 72 | Quinn HughesDMIN/VAN | MIN/VAN | 13.52 | 1,607 | 12.92 | 51.1% | 100% |
| 73 | Tomas HertlFVGK | VGK | 13.52 | 1,025 | 9.30 | 59.2% | 83%▲2.9 |
| 74 | Lawson CrouseFUTA | UTA | 13.51 | 1,000 | 11.65 | 53.7% | 36%▲13 |
| 75 | Dylan CozensFOTT | OTT | 13.50 | 1,053 | 9.00 | 60.0% | 90%▲3.6 |
| 76 | Alex OvechkinFWSH | WSH | 13.49 | 992 | 13.31 | 50.3% | 96%▲1.3 |
| 77 | J.J. MoserDTBL | TBL | 13.47 | 1,407 | 10.15 | 57.0% | 22%▲20 |
| 78 | Jackson LaCombeDANA | ANA | 13.46 | 1,462 | 12.23 | 52.4% | 97%▲9.4 |
| 79 | Trevor MooreFLAK | LAK | 13.45 | 937 | 9.99 | 57.4% | 9.1% |
| 80 | Trevor ZegrasFPHI | PHI | 13.38 | 1,175 | 10.27 | 56.6% | 86%▲19 |
| 81 | Cutter GauthierFANA | ANA | 13.36 | 997 | 13.72 | 49.3% | 98%▲1 |
| 82 | Ryan SheaDPIT | PIT | 13.35 | 1,272 | 11.88 | 52.9% | 15%▲9.6 |
| 83 | Connor CliftonDPIT | PIT | 13.34 | 728 | 10.38 | 56.3% | 7.4%▲6.7 |
| 84 | Jordan StaalFCAR | CAR | 13.34 | 940 | 11.04 | 54.7% | 20%▲13 |
| 85 | Mitch MarnerFVGK | VGK | 13.33 | 1,107 | 9.27 | 59.0% | 99%▲1.1 |
| 86 | Braeden BowmanFVGK | VGK | 13.33 | 680 | 9.88 | 57.4% | 16%▲16 |
| 87 | Alex KillornFANA | ANA | 13.32 | 1,014 | 12.14 | 52.3% | 5.1%▲3.5 |
| 88 | Mathieu OlivierFCBJ | CBJ | 13.32 | 793 | 9.00 | 59.7% | 18%▲15 |
| 89 | Jesper BrattFNJD | NJD | 13.28 | 1,139 | 11.75 | 53.1% | 96%▲11 |
| 90 | Clayton KellerFUTA | UTA | 13.27 | 1,208 | 10.93 | 54.8% | 100%▲2 |
| 91 | Hendrix LapierreFWSH | WSH | 13.26 | 638 | 9.31 | 58.8% | 7.3%▲7.2 |
| 92 | Alexander NikishinDCAR | CAR | 13.25 | 1,218 | 11.38 | 53.8% | 68%▲8.8 |
| 93 | Timo MeierFNJD | NJD | 13.24 | 1,178 | 11.92 | 52.6% | 82%▼8 |
| 94 | Linus KarlssonFVAN | VAN | 13.24 | 852 | 11.97 | 52.5% | 11%▲9.5 |
| 95 | Brandon SaadFVGK | VGK | 13.23 | 598 | 10.23 | 56.4% | — |
| 96 | Dylan StromeFWSH | WSH | 13.23 | 1,084 | 13.84 | 48.9% | 82%▲10 |
| 97 | Michael MisaFSJS | SJS | 13.23 | 512 | 12.41 | 51.6% | 60%▲48 |
| 98 | Andrei KuzmenkoFLAK | LAK | 13.22 | 599 | 9.82 | 57.4% | 11%▲9.8 |
| 99 | Jason RobertsonFDAL | DAL | 13.21 | 1,230 | 10.48 | 55.8% | 100%▲0.5 |
| 100 | Cale MakarDCOL | COL | 13.20 | 1,300 | 12.09 | 52.2% | 100%▲1 |
Minimum sample: 492 min (it scales with games played and sequence coverage). 338 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.