On-ice results
High-Danger Chances For per 60 (HDCF/60) Leaders
2026-27All situationsThrough 3 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 2026-27: Mark Scheifele (WPG), 31.86 HDCF/60.
- Early sample: teams have played at most 3 games in 2026-27. Expect big swings.
HDCF/60 leaderboard
| # | Player | Team | |||||
|---|---|---|---|---|---|---|---|
| 1 | Mark ScheifeleFWPG | WPG | 31.86 | 23 | 10.62 | 75.0% | 100% |
| 2 | Victor OlofssonFVGK | VGK | 30.92 | 27 | 8.83 | 77.8% | 12%▲12 |
| 3 | Tomas HertlFVGK | VGK | 30.78 | 33 | 5.43 | 85.0% | 83%▲2.9 |
| 4 | Josh MorrisseyDWPG | WPG | 28.11 | 26 | 11.71 | 70.6% | 99%▲3.3 |
| 5 | Shea TheodoreDVGK | VGK | 24.76 | 46 | 10.43 | 70.4% | 91%▲28 |
| 6 | Eetu LuostarinenFFLA | FLA | 23.66 | 30 | 19.72 | 54.5% | 11%▲9.1 |
| 7 | Luke HughesDNJD | NJD | 22.24 | 24 | 4.94 | 81.8% | 84%▲40 |
| 8 | Kirill MarchenkoFTOR | TOR | 21.88 | 38 | 4.69 | 82.4% | 98%▲7 |
| 9 | Jack HughesFNJD | NJD | 20.93 | 26 | 4.65 | 81.8% | 100% |
| 10 | Easton CowanFTOR | TOR | 20.44 | 29 | 2.04 | 90.9% | 50%▲47 |
| 11 | Evan BouchardDEDM | EDM | 20.39 | 50 | 6.00 | 77.3% | 100% |
| 12 | Connor McDavidFEDM | EDM | 20.04 | 45 | 8.02 | 71.4% | 100%▲1.5 |
| 13 | Vasily PodkolzinFEDM | EDM | 19.78 | 36 | 4.95 | 80.0% | 64%▲55 |
| 14 | Brayden McNabbDVGK | VGK | 19.62 | 37 | 14.71 | 57.1% | 23%▲20 |
| 15 | Pavel DorofeyevFNYR | NYR | 19.13 | 47 | 6.38 | 75.0% | 92%▲1.7 |
| 16 | Mike MathesonDMTL | MTL | 19.11 | 25 | 11.94 | 61.5% | 85%▼7.5 |
| 17 | Leon DraisaitlFEDM | EDM | 18.77 | 42 | 2.89 | 86.7% | 100% |
| 18 | Nikolaj EhlersFCAR | CAR | 18.73 | 38 | 4.68 | 80.0% | 93%▲7.9 |
| 19 | Auston MatthewsFTOR | TOR | 18.30 | 43 | 8.44 | 68.4% | 99% |
| 20 | Braeden BowmanFVGK | VGK | 18.26 | 23 | 23.48 | 43.8% | 16%▲16 |
| 21 | Anton LundellFFLA | FLA | 18.11 | 40 | 18.11 | 50.0% | 45%▲30 |
| 22 | Sandis VilmanisFFLA | FLA | 17.72 | 24 | 5.06 | 77.8% | 6.4%▲6.3 |
| 23 | Mark StoneFVGK | VGK | 17.44 | 38 | 9.52 | 64.7% | 93%▲9 |
| 24 | Brandon MontourDSEA | SEA | 17.37 | 24 | 4.96 | 77.8% | 83%▲10 |
| 25 | Mattias EkholmDEDM | EDM | 17.29 | 42 | 8.65 | 66.7% | 77%▲9.7 |
| 26 | Alberts SmitsDNYR | NYR | 16.95 | 42 | 12.71 | 57.1% | 35%▲34 |
| 27 | Andrei SvechnikovFCAR | CAR | 16.57 | 36 | 3.31 | 83.3% | 97%▲8.5 |
| 28 | Jack EichelFVGK | VGK | 16.45 | 40 | 13.46 | 55.0% | 99%▲1.4 |
| 29 | Oliver BjorkstrandFNYR | NYR | 16.36 | 40 | 4.46 | 78.6% | 20% |
| 30 | Jack RoslovicFTOR | TOR | 16.31 | 33 | 3.62 | 81.8% | 34%▲26 |
| 31 | John TavaresFTOR | TOR | 16.09 | 34 | 19.66 | 45.0% | 96%▲9.3 |
| 32 | Jackson BlakeFCAR | CAR | 16.06 | 41 | 5.84 | 73.3% | 68%▲21 |
| 33 | Bo HorvatFNYI | NYI | 15.99 | 23 | 10.66 | 60.0% | 91%▲1.7 |
| 34 | Colton SissonsFTOR | TOR | 15.95 | 26 | 11.39 | 58.3% | 3.3%▲3.1 |
| 35 | Marco RossiFVAN | VAN | 15.85 | 30 | 7.93 | 66.7% | 58%▲12 |
| 36 | J.T. MillerFNYR | NYR | 15.85 | 49 | 4.88 | 76.5% | 92%▲7.9 |
| 37 | Matthew TkachukFFLA | FLA | 15.79 | 42 | 4.31 | 78.6% | 100%▲2.7 |
| 38 | Alex FormentonFEDM | EDM | 15.29 | 31 | 9.55 | 61.5% | 9.6%▲9.6 |
| 39 | Brandon HagelFTBL | TBL | 15.21 | 24 | 5.07 | 75.0% | 100%▲1.9 |
| 40 | John CarlsonDTBL | TBL | 15.20 | 24 | 10.13 | 60.0% | 99%▲2.2 |
| 41 | Matthew SchaeferDNYI | NYI | 15.14 | 28 | 6.49 | 70.0% | 100% |
| 42 | Logan StankovenFCAR | CAR | 14.94 | 40 | 11.96 | 55.6% | 67%▲42 |
| 43 | Darren RaddyshDTOR | TOR | 14.87 | 44 | 13.52 | 52.4% | 100%▲3.5 |
| 44 | Hampus LindholmDBOS | BOS | 14.84 | 40 | 14.84 | 50.0% | 16%▲15 |
| 45 | Jonathan LekkerimäkiFVAN | VAN | 14.59 | 25 | 4.86 | 75.0% | 25%▲25 |
| 46 | Will BorgenDBOS | BOS | 14.45 | 37 | 14.45 | 50.0% | 4.1%▲3.8 |
| 47 | William KarlssonFVGK | VGK | 14.34 | 38 | 4.78 | 75.0% | 24%▲20 |
| 48 | Oliver Ekman-LarssonDTOR | TOR | 14.28 | 34 | 21.42 | 40.0% | 43%▲32 |
| 49 | Max SassonFVAN | VAN | 13.90 | 30 | 17.87 | 43.8% | 4.9%▲4.9 |
| 50 | Mitch MarnerFVGK | VGK | 13.72 | 44 | 4.12 | 76.9% | 99%▲1.1 |
| 51 | Miro HeiskanenDDAL | DAL | 13.46 | 27 | 6.73 | 66.7% | 100%▲4.5 |
| 52 | Nick PaulFTOR | TOR | 13.44 | 31 | 15.36 | 46.7% | 8.1%▲7.7 |
| 53 | Anton FrondellFCHI | CHI | 13.40 | 36 | 13.40 | 50.0% | 72%▲51 |
| 54 | Brady TkachukFFLA | FLA | 13.27 | 36 | 0.00 | 100.0% | 100%▲2.2 |
| 55 | Elias LindholmFBOS | BOS | 13.18 | 32 | 11.30 | 53.8% | 43%▲4.6 |
| 56 | Morgan GeekieFBOS | BOS | 13.14 | 37 | 13.14 | 50.0% | 97%▲8.6 |
| 57 | Mikhail SergachevDUTA | UTA | 13.07 | 23 | 5.23 | 71.4% | 98%▲5.2 |
| 58 | Dylan DeMeloDWPG | WPG | 13.04 | 23 | 13.04 | 50.0% | 5.6%▲5.4 |
| 59 | Adam FoxDNYR | NYR | 12.93 | 60 | 9.95 | 56.5% | 99%▲6.5 |
| 60 | Braden SchneiderDNYR | NYR | 12.78 | 52 | 13.94 | 47.8% | 19%▲17 |
| 61 | Seth JonesDFLA | FLA | 12.70 | 57 | 4.23 | 75.0% | 80%▲32 |
| 62 | Luke SchennDVAN | VAN | 12.65 | 28 | 18.98 | 40.0% | 7.3%▲6.9 |
| 63 | K'Andre MillerDCAR | CAR | 12.65 | 47 | 5.06 | 71.4% | 64%▲26 |
| 64 | Jake GuentzelFTBL | TBL | 12.48 | 24 | 4.99 | 71.4% | 100% |
| 65 | Filip HronekDVAN | VAN | 12.46 | 48 | 11.21 | 52.6% | 91%▲14 |
| 66 | Zeev BuiumDVAN | VAN | 12.35 | 44 | 16.46 | 42.9% | 74%▲54 |
| 67 | Sam ReinhartFFLA | FLA | 12.13 | 45 | 2.70 | 81.8% | 99% |
| 68 | Aleksander BarkovFFLA | FLA | 12.09 | 30 | 0.00 | 100.0% | 97%▲7.2 |
| 69 | Sam BennettFFLA | FLA | 12.02 | 40 | 3.00 | 80.0% | 83%▲4 |
| 70 | Alexis LafrenièreFNYR | NYR | 11.99 | 55 | 7.63 | 61.1% | 82%▲13 |
| 71 | Pavel ZachaFBOS | BOS | 11.98 | 35 | 17.11 | 41.2% | 77%▲12 |
| 72 | Mathieu JosephFEDM | EDM | 11.97 | 30 | 7.98 | 60.0% | 0.1% |
| 73 | Troy StecherDTOR | TOR | 11.94 | 35 | 8.53 | 58.3% | 0.2% |
| 74 | Wyatt KaiserDCHI | CHI | 11.87 | 40 | 14.84 | 44.4% | 6.5%▲6.2 |
| 75 | Sam RinzelDCHI | CHI | 11.74 | 36 | 13.42 | 46.7% | 33%▲32 |
| 76 | Rasmus DahlinDBUF | BUF | 11.55 | 26 | 6.93 | 62.5% | 100%▲1 |
| 77 | William NylanderFTOR | TOR | 11.54 | 36 | 24.73 | 31.8% | 99%▼0.9 |
| 78 | Shayne GostisbehereDCAR | CAR | 11.48 | 42 | 10.04 | 53.3% | 96%▲16 |
| 79 | Fraser MintenFBOS | BOS | 11.42 | 32 | 22.85 | 33.3% | 45%▲35 |
| 80 | Jordan MartinookFCAR | CAR | 11.27 | 27 | 6.76 | 62.5% | 4.3%▲2.7 |
| 81 | Mika ZibanejadFNYR | NYR | 11.23 | 59 | 8.17 | 57.9% | 98%▲1.1 |
| 82 | Jordan StaalFCAR | CAR | 11.19 | 32 | 5.59 | 66.7% | 20%▲13 |
| 83 | Tristan LuneauDANA | ANA | 11.12 | 27 | 13.35 | 45.5% | 29%▲29 |
| 84 | Rasmus AnderssonDVGK | VGK | 11.05 | 38 | 15.79 | 41.2% | 95%▼3 |
| 85 | JJ PeterkaFBOS | BOS | 10.92 | 38 | 17.16 | 38.9% | 75%▲36 |
| 86 | Quinn HughesDMIN | MIN | 10.91 | 28 | 8.73 | 55.6% | 100% |
| 87 | James HagensFBOS | BOS | 10.88 | 28 | 17.41 | 38.5% | 50%▲42 |
| 88 | Artyom LevshunovDCHI | CHI | 10.75 | 39 | 16.89 | 38.9% | 45%▲43 |
| 89 | Sebastian AhoFCAR | CAR | 10.61 | 40 | 4.55 | 70.0% | 99%▲0.9 |
| 90 | David PastrnakFBOS | BOS | 10.61 | 40 | 13.64 | 43.8% | 100%▲1.2 |
| 91 | Brayden PointFTBL | TBL | 10.60 | 23 | 10.60 | 50.0% | 95%▲7.7 |
| 92 | Eeli TolvanenFNYR | NYR | 10.59 | 40 | 16.64 | 38.9% | 36%▼9.4 |
| 93 | Casey MittelstadtFBOS | BOS | 10.49 | 29 | 8.39 | 55.6% | 14%▲12 |
| 94 | Macklin CelebriniFSJS | SJS | 10.46 | 23 | 0.00 | 100.0% | 100%▲0.9 |
| 95 | Philip BrobergDSTL | STL | 10.37 | 23 | 28.53 | 26.7% | 66%▲50 |
| 96 | Taylor HallFCAR | CAR | 10.34 | 29 | 10.34 | 50.0% | 28%▲21 |
| 97 | Marat KhusnutdinovFBOS | BOS | 10.28 | 29 | 20.56 | 33.3% | 11%▲11 |
| 98 | Patrick KaneFCHI | CHI | 10.26 | 41 | 11.73 | 46.7% | 80%▲0.9 |
| 99 | Tyler BertuzziFCHI | CHI | 10.26 | 35 | 8.55 | 54.5% | 62%▼3.2 |
| 100 | Vladislav GavrikovDNYR | NYR | 10.25 | 64 | 9.31 | 52.4% | 41%▼5.7 |
Minimum sample: 23 min (it scales with games played and sequence coverage). 369 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.