On-ice results
High-Danger Chances For per 60 (HDCF/60) Leaders
2023-24All 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 2023-24: Zach Hyman (EDM), 21.80 HDCF/60.
HDCF/60 leaderboard
| # | Player | Team | |||||
|---|---|---|---|---|---|---|---|
| 1 | Zach HymanFEDM | EDM | 21.80 | 1,560 | 8.46 | 72.0% | 98%▼1.4 |
| 2 | Matthew TkachukFFLA | FLA | 21.80 | 1,492 | 9.57 | 69.5% | 100%▲2.7 |
| 3 | Connor McDavidFEDM | EDM | 20.77 | 1,623 | 9.17 | 69.4% | 100%▲1.5 |
| 4 | Auston MatthewsFTOR | TOR | 20.35 | 1,698 | 10.00 | 67.1% | 99% |
| 5 | John TavaresFTOR | TOR | 19.90 | 1,429 | 9.95 | 66.7% | 96%▲9.3 |
| 6 | Ryan Nugent-HopkinsFEDM | EDM | 19.64 | 1,570 | 10.40 | 65.4% | 77%▲15 |
| 7 | Carter VerhaegheFFLA | FLA | 19.60 | 1,365 | 8.88 | 68.8% | 73%▲1 |
| 8 | Evan BouchardDEDM | EDM | 19.45 | 1,863 | 8.95 | 68.5% | 100% |
| 9 | Matt BoldyFMIN | MIN | 19.16 | 1,418 | 7.74 | 71.2% | 100% |
| 10 | William NylanderFTOR | TOR | 19.10 | 1,634 | 11.79 | 61.8% | 99%▼0.9 |
| 11 | Sidney CrosbyFPIT | PIT | 19.09 | 1,647 | 11.15 | 63.1% | 100%▲2.4 |
| 12 | Kirill KaprizovFMIN | MIN | 19.02 | 1,618 | 8.60 | 68.9% | 98%▼0.8 |
| 13 | Jake GuentzelFPIT/CAR | PIT/CAR | 18.65 | 1,341 | 10.33 | 64.4% | 100% |
| 14 | Leon DraisaitlFEDM | EDM | 18.65 | 1,676 | 9.88 | 65.4% | 100% |
| 15 | James van RiemsdykFBOS | BOS | 18.08 | 959 | 10.20 | 63.9% | 0.3% |
| 16 | Aleksander BarkovFFLA | FLA | 18.00 | 1,433 | 8.58 | 67.7% | 97%▲7.2 |
| 17 | Artemi PanarinFNYR | NYR | 17.82 | 1,650 | 9.75 | 64.6% | 98%▼1.2 |
| 18 | Filip ForsbergFNSH | NSH | 17.80 | 1,550 | 9.37 | 65.5% | 99%▲1.4 |
| 19 | Nathan MacKinnonFCOL | COL | 17.74 | 1,871 | 9.49 | 65.1% | 100%▲0.8 |
| 20 | Mitch MarnerFTOR | TOR | 17.70 | 1,468 | 11.20 | 61.2% | 99%▲1.1 |
| 21 | Brady TkachukFOTT | OTT | 17.65 | 1,551 | 9.83 | 64.2% | 100%▲2.2 |
| 22 | Andrei KuzmenkoFVAN/CGY | VAN/CGY | 17.64 | 1,072 | 9.46 | 65.1% | 11%▲9.8 |
| 23 | Erik KarlssonDPIT | PIT | 17.58 | 1,990 | 10.13 | 63.4% | 95% |
| 24 | Sam BennettFFLA | FLA | 17.54 | 1,146 | 10.58 | 62.4% | 83%▲4 |
| 25 | Sam ReinhartFFLA | FLA | 17.30 | 1,665 | 8.87 | 66.1% | 99% |
| 26 | Bryan RustFPIT | PIT | 17.25 | 1,214 | 11.71 | 59.6% | 86%▲3.2 |
| 27 | Jesper BrattFNJD | NJD | 17.24 | 1,583 | 11.03 | 61.0% | 96%▲11 |
| 28 | Tyler BertuzziFTOR | TOR | 17.11 | 1,284 | 10.89 | 61.1% | 62%▼3.2 |
| 29 | Elias PetterssonFVAN | VAN | 17.05 | 1,611 | 11.21 | 60.3% | 87%▼5.8 |
| 30 | Mats ZuccarelloFMIN | MIN | 17.03 | 1,304 | 8.38 | 67.0% | 50%▲28 |
| 31 | Roope HintzFDAL | DAL | 17.01 | 1,379 | 8.40 | 67.0% | 85%▲7.6 |
| 32 | Morgan RiellyDTOR | TOR | 16.99 | 1,709 | 11.76 | 59.1% | 76%▼4.7 |
| 33 | Brandon MontourDFLA | FLA | 16.90 | 1,548 | 8.72 | 66.0% | 83%▲10 |
| 34 | Tyler ToffoliFNJD/WPG | NJD/WPG | 16.79 | 1,340 | 9.76 | 63.2% | 38%▼17 |
| 35 | Jamie BennFDAL | DAL | 16.79 | 1,240 | 10.36 | 61.9% | 22%▲18 |
| 36 | Jason RobertsonFDAL | DAL | 16.73 | 1,503 | 7.91 | 67.9% | 100%▲0.5 |
| 37 | Warren FoegeleFEDM | EDM | 16.70 | 1,146 | 11.62 | 59.0% | 4.0%▲3.9 |
| 38 | Miro HeiskanenDDAL | DAL | 16.63 | 1,742 | 8.75 | 65.5% | 100%▲4.5 |
| 39 | Nico HischierFNJD | NJD | 16.61 | 1,383 | 11.93 | 58.2% | 98%▲3 |
| 40 | Mikko RantanenFCOL | COL | 16.60 | 1,832 | 10.12 | 62.1% | 99%▲0.7 |
| 41 | Quinn HughesDVAN | VAN | 16.57 | 2,024 | 10.88 | 60.4% | 100% |
| 42 | Brock BoeserFVAN | VAN | 16.53 | 1,507 | 10.79 | 60.5% | 63%▼5.5 |
| 43 | Roman JosiDNSH | NSH | 16.52 | 2,020 | 9.86 | 62.6% | 98% |
| 44 | Dylan StromeFWSH | WSH | 16.51 | 1,472 | 10.11 | 62.0% | 82%▲10 |
| 45 | Evgeni MalkinFPIT | PIT | 16.38 | 1,524 | 9.53 | 63.2% | 82%▲10 |
| 46 | Chris KreiderFNYR | NYR | 16.36 | 1,540 | 11.34 | 59.1% | 62%▲29 |
| 47 | Rickard RakellFPIT | PIT | 16.35 | 1,156 | 10.48 | 60.9% | 82%▲9.9 |
| 48 | Jonathan DrouinFCOL | COL | 16.33 | 1,437 | 9.19 | 64.0% | 0.5% |
| 49 | Mattias EkholmDEDM | EDM | 16.31 | 1,663 | 10.93 | 59.9% | 77%▲9.7 |
| 50 | Gustav NyquistFNSH | NSH | 16.28 | 1,437 | 10.56 | 60.7% | 0.0% |
| 51 | Joel Eriksson EkFMIN | MIN | 16.17 | 1,581 | 11.39 | 58.7% | 82%▲11 |
| 52 | Andrei SvechnikovFCAR | CAR | 16.17 | 1,002 | 9.58 | 62.8% | 97%▲8.5 |
| 53 | Shane PintoFOTT | OTT | 16.16 | 742 | 9.78 | 62.3% | 37%▲22 |
| 54 | Alex OvechkinFWSH | WSH | 16.16 | 1,518 | 10.63 | 60.3% | 96%▲1.3 |
| 55 | Joe PavelskiFDAL | DAL | 16.15 | 1,378 | 8.92 | 64.4% | — |
| 56 | David PastrnakFBOS | BOS | 16.04 | 1,634 | 10.50 | 60.4% | 100%▲1.2 |
| 57 | Brayden PointFTBL | TBL | 15.97 | 1,623 | 10.46 | 60.4% | 95%▲7.7 |
| 58 | Tommy NovakFNSH | NSH | 15.95 | 1,008 | 8.27 | 65.8% | 11%▲9.1 |
| 59 | Ryan O'ReillyFNSH | NSH | 15.92 | 1,621 | 10.40 | 60.5% | 84%▲5.1 |
| 60 | Vincent TrocheckFNYR | NYR | 15.89 | 1,759 | 11.43 | 58.2% | 88%▼5.5 |
| 61 | Nazem KadriFCGY | CGY | 15.88 | 1,511 | 10.60 | 60.0% | 70%▼9.7 |
| 62 | Nikita KucherovFTBL | TBL | 15.86 | 1,755 | 10.22 | 60.8% | 100% |
| 63 | Conor GarlandFVAN | VAN | 15.80 | 1,192 | 8.30 | 65.6% | 10%▲7.4 |
| 64 | Anders LeeFNYI | NYI | 15.75 | 1,261 | 10.56 | 59.9% | 29%▼20 |
| 65 | Jack HughesFNJD | NJD | 15.64 | 1,300 | 9.46 | 62.3% | 100% |
| 66 | Claude GirouxFOTT | OTT | 15.62 | 1,648 | 11.87 | 56.8% | 30%▲20 |
| 67 | Valeri NichushkinFCOL | COL | 15.61 | 1,153 | 12.33 | 55.9% | 60% |
| 68 | J.T. MillerFVAN | VAN | 15.54 | 1,579 | 12.01 | 56.4% | 92%▲7.9 |
| 69 | Gabriel VilardiFWPG | WPG | 15.54 | 799 | 12.01 | 56.4% | 80%▲7.7 |
| 70 | Evander KaneFEDM | EDM | 15.51 | 1,292 | 11.24 | 58.0% | 5.7%▲0.9 |
| 71 | Mathew BarzalFNYI | NYI | 15.46 | 1,611 | 10.54 | 59.5% | 83%▲10 |
| 72 | Kyle PalmieriFNYI | NYI | 15.42 | 1,412 | 11.35 | 57.6% | 19%▲10 |
| 73 | Ross ColtonFCOL | COL | 15.42 | 1,098 | 11.53 | 57.2% | 8.1%▲7.8 |
| 74 | Artturi LehkonenFCOL | COL | 15.38 | 831 | 10.32 | 59.8% | 54%▲37 |
| 75 | Arthur KaliyevFLAK | LAK | 15.35 | 602 | 9.67 | 61.4% | — |
| 76 | Mika ZibanejadFNYR | NYR | 15.34 | 1,599 | 10.92 | 58.4% | 98%▲1.1 |
| 77 | Alexis LafrenièreFNYR | NYR | 15.30 | 1,416 | 10.85 | 58.5% | 82%▲13 |
| 78 | Trevor ZegrasFANA | ANA | 15.29 | 530 | 10.31 | 59.7% | 86%▲19 |
| 79 | Bo HorvatFNYI | NYI | 15.23 | 1,595 | 11.81 | 56.3% | 91%▲1.7 |
| 80 | Evan RodriguesFFLA | FLA | 15.23 | 1,213 | 8.55 | 64.0% | 8.3%▲6.5 |
| 81 | Adam FoxDNYR | NYR | 15.18 | 1,688 | 9.92 | 60.5% | 99%▲6.5 |
| 82 | Corey PerryFEDM/CHI | EDM/CHI | 15.11 | 723 | 10.30 | 59.5% | 7.4%▲5.9 |
| 83 | Kevin ShattenkirkDBOS | BOS | 15.08 | 963 | 9.79 | 60.7% | — |
| 84 | Brent BurnsDCAR | CAR | 15.08 | 1,763 | 10.21 | 59.6% | 50%▼14 |
| 85 | Jonathan HuberdeauFCGY | CGY | 15.05 | 1,411 | 10.80 | 58.2% | 17%▲12 |
| 86 | Brad MarchandFBOS | BOS | 15.02 | 1,566 | 12.37 | 54.8% | 73%▲0.9 |
| 87 | Mark ScheifeleFWPG | WPG | 14.94 | 1,494 | 13.22 | 53.1% | 100% |
| 88 | T.J. OshieFWSH | WSH | 14.91 | 877 | 9.99 | 59.9% | — |
| 89 | Luke EvangelistaFNSH | NSH | 14.89 | 1,116 | 8.71 | 63.1% | 70%▲23 |
| 90 | Michael BuntingFCAR/PIT | CAR/PIT | 14.88 | 1,271 | 10.11 | 59.5% | 4.5%▲1.8 |
| 91 | Brendan GallagherFMTL | MTL | 14.86 | 1,062 | 11.92 | 55.5% | 3.3%▲2.8 |
| 92 | Josh MorrisseyDWPG | WPG | 14.80 | 1,959 | 10.94 | 57.5% | 99%▲3.3 |
| 93 | Seth JarvisFCAR | CAR | 14.74 | 1,519 | 9.64 | 60.5% | 95%▲1.5 |
| 94 | Travis KonecnyFPHI | PHI | 14.68 | 1,508 | 10.62 | 58.0% | 92%▲9.9 |
| 95 | Luke HughesDNJD | NJD | 14.65 | 1,761 | 10.60 | 58.0% | 84%▲40 |
| 96 | Vladimir TarasenkoFOTT/FLA | OTT/FLA | 14.65 | 1,196 | 11.39 | 56.3% | 10%▲1 |
| 97 | Barrett HaytonFARI | ARI | 14.64 | 561 | 11.33 | 56.4% | 11%▲11 |
| 98 | Oliver Ekman-LarssonDFLA | FLA | 14.60 | 1,472 | 11.05 | 56.9% | 43%▲32 |
| 99 | Max PaciorettyFWSH | WSH | 14.59 | 678 | 9.99 | 59.4% | — |
| 100 | Timothy LiljegrenDTOR | TOR | 14.59 | 1,081 | 10.98 | 57.0% | 4.8%▲4.7 |
Minimum sample: 492 min (it scales with games played and sequence coverage). 307 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.