On-ice results
High-Danger Chances For per 60 (HDCF/60) Leaders
2024-25Even strengthThrough 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 2024-25: Connor McDavid (EDM), 15.59 HDCF/60.
HDCF/60 leaderboard
| # | Player | Team | |||||
|---|---|---|---|---|---|---|---|
| 1 | Connor McDavidFEDM | EDM | 15.59 | 1,193 | 10.06 | 60.8% | 100%▲1.5 |
| 2 | Zach HymanFEDM | EDM | 15.45 | 1,099 | 9.82 | 61.1% | 98%▼1.4 |
| 3 | Leon DraisaitlFEDM | EDM | 15.05 | 1,224 | 9.51 | 61.3% | 100% |
| 4 | Tony DeAngeloDNYI | NYI | 14.96 | 674 | 13.27 | 53.0% | 24%▲18 |
| 5 | Auston MatthewsFTOR | TOR | 14.71 | 991 | 9.57 | 60.6% | 99% |
| 6 | Jordan StaalFCAR | CAR | 14.57 | 956 | 10.67 | 57.7% | 20%▲13 |
| 7 | Mattias EkholmDEDM | EDM | 14.30 | 1,196 | 10.04 | 58.8% | 77%▲9.7 |
| 8 | Mathew BarzalFNYI | NYI | 14.24 | 497 | 9.53 | 59.9% | 83%▲10 |
| 9 | Jordan MartinookFCAR | CAR | 14.11 | 1,008 | 10.36 | 57.7% | 4.3%▲2.7 |
| 10 | Nathan MacKinnonFCOL | COL | 13.94 | 1,394 | 11.40 | 55.0% | 100%▲0.8 |
| 11 | Barrett HaytonFUTA | UTA | 13.85 | 1,057 | 9.53 | 59.2% | 11%▲11 |
| 12 | Mitch MarnerFTOR | TOR | 13.83 | 1,228 | 9.58 | 59.1% | 99%▲1.1 |
| 13 | Marcus PetterssonDPIT/VAN | PIT/VAN | 13.80 | 1,452 | 11.53 | 54.5% | 5.8%▲5.4 |
| 14 | Evan BouchardDEDM | EDM | 13.76 | 1,574 | 10.18 | 57.5% | 100% |
| 15 | Anthony CirelliFTBL | TBL | 13.61 | 1,173 | 7.57 | 64.3% | 51%▲19 |
| 16 | Brent BurnsDCAR | CAR | 13.61 | 1,327 | 10.94 | 55.4% | 50%▼14 |
| 17 | Seth JarvisFCAR | CAR | 13.59 | 976 | 9.84 | 58.0% | 95%▲1.5 |
| 18 | Bryan RustFPIT | PIT | 13.58 | 1,078 | 13.41 | 50.3% | 86%▲3.2 |
| 19 | Tomas NosekFFLA | FLA | 13.54 | 510 | 9.42 | 59.0% | — |
| 20 | Connor McMichaelFWSH | WSH | 13.42 | 1,144 | 11.17 | 54.6% | 34%▲27 |
| 21 | Brandon HagelFTBL | TBL | 13.40 | 1,271 | 7.65 | 63.7% | 100%▲1.9 |
| 22 | Matthew KniesFTOR | TOR | 13.36 | 1,100 | 9.87 | 57.5% | 94%▲14 |
| 23 | Sidney CrosbyFPIT | PIT | 13.36 | 1,316 | 12.31 | 52.0% | 100%▲2.4 |
| 24 | Kevin HayesFPIT | PIT | 13.27 | 619 | 9.69 | 57.8% | 0.0% |
| 25 | Sebastian AhoFCAR | CAR | 13.26 | 1,113 | 11.05 | 54.5% | 99%▲0.9 |
| 26 | Mark StoneFVGK | VGK | 13.25 | 965 | 10.14 | 56.6% | 93%▲9 |
| 27 | Thomas HarleyDDAL | DAL | 13.20 | 1,477 | 10.89 | 54.8% | 88%▲8.9 |
| 28 | Taylor RaddyshFWSH | WSH | 13.14 | 936 | 10.39 | 55.9% | 0.1% |
| 29 | Jaccob SlavinDCAR | CAR | 13.14 | 1,438 | 10.14 | 56.5% | 15%▲3.8 |
| 30 | John MarinoDUTA | UTA | 13.13 | 649 | 11.09 | 54.2% | 18%▲13 |
| 31 | Jean-Gabriel PageauFNYI | NYI | 13.10 | 1,035 | 11.60 | 53.1% | 12%▲11 |
| 32 | Phillip DanaultFLAK | LAK | 13.10 | 1,127 | 9.90 | 56.9% | 4.9%▲4.5 |
| 33 | Jack EichelFVGK | VGK | 13.09 | 1,173 | 11.56 | 53.1% | 99%▲1.4 |
| 34 | Anthony DuclairFNYI | NYI | 13.07 | 569 | 11.60 | 53.0% | 3.3%▲3 |
| 35 | Pierre-Luc DuboisFWSH | WSH | 12.96 | 1,190 | 10.03 | 56.4% | 41%▲32 |
| 36 | Warren FoegeleFLAK | LAK | 12.94 | 1,113 | 9.28 | 58.3% | 4.0%▲3.9 |
| 37 | Nikita KucherovFTBL | TBL | 12.93 | 1,295 | 9.87 | 56.7% | 100% |
| 38 | Matthew TkachukFFLA | FLA | 12.92 | 738 | 10.24 | 55.8% | 100%▲2.7 |
| 39 | Timo MeierFNJD | NJD | 12.92 | 1,231 | 10.14 | 56.0% | 82%▼8 |
| 40 | Anders LeeFNYI | NYI | 12.91 | 1,138 | 11.07 | 53.8% | 29%▼20 |
| 41 | John CarlsonDWSH | WSH | 12.88 | 1,342 | 11.09 | 53.7% | 99%▲2.2 |
| 42 | Sean MonahanFCBJ | CBJ | 12.81 | 773 | 11.18 | 53.4% | 19%▲13 |
| 43 | Tommy NovakFNSH/PIT | NSH/PIT | 12.80 | 633 | 11.85 | 51.9% | 11%▲9.1 |
| 44 | Justin DanforthFCBJ | CBJ | 12.78 | 733 | 11.06 | 53.6% | 0.0% |
| 45 | Rickard RakellFPIT | PIT | 12.77 | 1,292 | 11.01 | 53.7% | 82%▲9.9 |
| 46 | Josh MorrisseyDWPG | WPG | 12.77 | 1,607 | 9.82 | 56.5% | 99%▲3.3 |
| 47 | Artturi LehkonenFCOL | COL | 12.75 | 1,115 | 10.55 | 54.7% | 54%▲37 |
| 48 | Quinton ByfieldFLAK | LAK | 12.74 | 1,177 | 8.36 | 60.4% | 86%▲18 |
| 49 | Nico HischierFNJD | NJD | 12.72 | 1,103 | 9.90 | 56.3% | 98%▲3 |
| 50 | Noah HanifinDVGK | VGK | 12.71 | 1,506 | 10.00 | 56.0% | 52%▼23 |
| 51 | Eric RobinsonFCAR | CAR | 12.70 | 936 | 10.77 | 54.1% | 3.2%▲3.1 |
| 52 | Ivan BarbashevFVGK | VGK | 12.67 | 1,075 | 11.22 | 53.0% | 67%▲26 |
| 53 | Brendan GallagherFMTL | MTL | 12.67 | 990 | 10.00 | 55.9% | 3.3%▲2.8 |
| 54 | Stefan NoesenFNJD | NJD | 12.63 | 979 | 9.68 | 56.6% | 0.1% |
| 55 | Matt DucheneFDAL | DAL | 12.62 | 1,141 | 11.67 | 51.9% | 62%▼17 |
| 56 | Brady TkachukFOTT | OTT | 12.59 | 1,015 | 9.22 | 57.7% | 100%▲2.2 |
| 57 | Zach WerenskiDCBJ | CBJ | 12.57 | 1,765 | 11.18 | 52.9% | 100% |
| 58 | Brandt ClarkeDLAK | LAK | 12.51 | 1,112 | 9.49 | 56.9% | 96%▲11 |
| 59 | Sean DurziDUTA | UTA | 12.50 | 538 | 9.82 | 56.0% | 37%▲35 |
| 60 | Mark JankowskiFNSH/CAR | NSH/CAR | 12.49 | 625 | 9.22 | 57.5% | 0.2% |
| 61 | Jamie BennFDAL | DAL | 12.47 | 943 | 12.22 | 50.5% | 22%▲18 |
| 62 | Mathew DumbaDDAL | DAL | 12.46 | 901 | 11.13 | 52.8% | 0.1% |
| 63 | Gustav ForslingDFLA | FLA | 12.44 | 1,553 | 10.12 | 55.1% | 42%▲18 |
| 64 | Adam FoxDNYR | NYR | 12.44 | 1,298 | 10.68 | 53.8% | 99%▲6.5 |
| 65 | Trevor MooreFLAK | LAK | 12.42 | 956 | 9.79 | 55.9% | 9.1% |
| 66 | Josh DoanFUTA | UTA | 12.41 | 609 | 7.58 | 62.1% | 61%▲44 |
| 67 | Nick SchmaltzFUTA | UTA | 12.40 | 1,176 | 9.79 | 55.9% | 94%▲4.7 |
| 68 | Cale MakarDCOL | COL | 12.39 | 1,502 | 10.51 | 54.1% | 100%▲1 |
| 69 | Erik KarlssonDPIT | PIT | 12.39 | 1,594 | 12.46 | 49.8% | 95% |
| 70 | Dougie HamiltonDNJD | NJD | 12.38 | 1,032 | 11.51 | 51.8% | 84%▲12 |
| 71 | Shayne GostisbehereDCAR | CAR | 12.37 | 1,009 | 10.11 | 55.0% | 96%▲16 |
| 72 | Jackson BlakeFCAR | CAR | 12.33 | 925 | 8.83 | 58.3% | 68%▲21 |
| 73 | Brayden PointFTBL | TBL | 12.32 | 1,183 | 11.26 | 52.3% | 95%▲7.7 |
| 74 | Jake GuentzelFTBL | TBL | 12.26 | 1,233 | 10.51 | 53.8% | 100% |
| 75 | Alex PietrangeloDVGK | VGK | 12.24 | 1,318 | 10.29 | 54.3% | 4.0%▲3.7 |
| 76 | Dmitri VoronkovFCBJ | CBJ | 12.23 | 1,040 | 12.64 | 49.2% | 19%▲17 |
| 77 | Clayton KellerFUTA | UTA | 12.23 | 1,222 | 10.02 | 55.0% | 100%▲2 |
| 78 | Tomas HertlFVGK | VGK | 12.22 | 997 | 9.75 | 55.6% | 83%▲2.9 |
| 79 | Martin NecasFCAR/COL | CAR/COL | 12.21 | 1,154 | 11.64 | 51.2% | 100%▲1.3 |
| 80 | A.J. GreerFFLA | FLA | 12.19 | 728 | 10.21 | 54.4% | 7.5%▲5.8 |
| 81 | Wyatt JohnstonFDAL | DAL | 12.19 | 1,123 | 11.12 | 52.3% | 100%▲0.8 |
| 82 | Aaron EkbladDFLA | FLA | 12.16 | 1,002 | 10.42 | 53.8% | 50%▲34 |
| 83 | Drew DoughtyDLAK | LAK | 12.12 | 584 | 10.07 | 54.6% | 21%▲11 |
| 84 | Reilly SmithFNYR/VGK | NYR/VGK | 12.11 | 991 | 9.87 | 55.1% | — |
| 85 | Jiri KulichFBUF | BUF | 12.11 | 798 | 11.80 | 50.6% | 26%▲25 |
| 86 | Mikko RantanenFCOL/DAL/CAR | COL/DAL/CAR | 12.10 | 1,338 | 11.97 | 50.3% | 99%▲0.7 |
| 87 | Michael BuntingFPIT/NSH | PIT/NSH | 12.10 | 997 | 11.49 | 51.3% | 4.5%▲1.8 |
| 88 | Bo HorvatFNYI | NYI | 12.09 | 1,241 | 11.27 | 51.8% | 91%▲1.7 |
| 89 | Zachary Aston-ReeseFCBJ | CBJ | 12.08 | 934 | 10.73 | 53.0% | 0.0% |
| 90 | Robert ThomasFSTL | STL | 12.05 | 1,075 | 10.60 | 53.2% | 93%▲20 |
| 91 | Dylan DeMeloDWPG | WPG | 12.04 | 1,555 | 9.88 | 54.9% | 5.6%▲5.4 |
| 92 | Ryan Nugent-HopkinsFEDM | EDM | 12.04 | 1,047 | 9.74 | 55.3% | 77%▲15 |
| 93 | Ryan McDonaghDTBL | TBL | 12.03 | 1,416 | 8.68 | 58.1% | 7.3%▲6.8 |
| 94 | Justin BarronDNSH/MTL | NSH/MTL | 12.02 | 989 | 10.68 | 52.9% | 0.1% |
| 95 | Blake ColemanFCGY | CGY | 12.01 | 1,134 | 10.32 | 53.8% | 38%▼25 |
| 96 | Dante FabbroDCBJ/NSH | CBJ/NSH | 12.00 | 1,295 | 10.98 | 52.2% | 3.2%▲3.1 |
| 97 | Zachary L'HeureuxFNSH | NSH | 11.98 | 676 | 10.21 | 54.0% | 11%▲11 |
| 98 | Alexander RomanovDNYI | NYI | 11.98 | 1,262 | 12.36 | 49.2% | 15%▲15 |
| 99 | Filip ChytilFNYR/VAN | NYR/VAN | 11.98 | 736 | 12.71 | 48.5% | 6.4%▲6.3 |
| 100 | Joel FarabeeFPHI/CGY | PHI/CGY | 11.97 | 1,037 | 10.12 | 54.2% | 11%▲6.4 |
Minimum sample: 492 min (it scales with games played and sequence coverage). 323 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.