On-ice results
High-Danger Chances For per 60 (HDCF/60) Leaders
2026-275-on-5Through 2 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: Samuel Girard (PIT), 35.82 HDCF/60.
- Early sample: teams have played at most 2 games in 2026-27. Expect big swings.
HDCF/60 leaderboard
| # | Player | Team | |||||
|---|---|---|---|---|---|---|---|
| 1 | Samuel GirardDPIT | PIT | 35.82 | 17 | 3.58 | 90.9% | 8.2%▲7.8 |
| 2 | Kaedan KorczakDPIT | PIT | 34.07 | 16 | 3.79 | 90.0% | 6.7%▲6.5 |
| 3 | Olli MaattaDMIN | MIN | 27.01 | 16 | 15.43 | 63.6% | 0.2% |
| 4 | Shea TheodoreDVGK | VGK | 25.69 | 16 | 11.01 | 70.0% | 91%▲28 |
| 5 | Brayden McNabbDVGK | VGK | 25.28 | 17 | 14.44 | 63.6% | 23%▲20 |
| 6 | J.T. MillerFNYR | NYR | 24.29 | 25 | 7.29 | 76.9% | 92%▲7.9 |
| 7 | Pavel DorofeyevFNYR | NYR | 24.11 | 25 | 7.23 | 76.9% | 92%▲1.7 |
| 8 | Anton LundellFFLA | FLA | 23.34 | 21 | 5.83 | 80.0% | 45%▲30 |
| 9 | Mike MathesonDMTL | MTL | 23.03 | 18 | 3.29 | 87.5% | 85%▼7.5 |
| 10 | Oliver BjorkstrandFNYR | NYR | 22.99 | 26 | 6.90 | 76.9% | 20% |
| 11 | Ryan WintertonFSEA | SEA | 22.93 | 16 | 11.46 | 66.7% | 4.0%▲3.9 |
| 12 | Nate SchmidtDUTA | UTA | 22.06 | 16 | 0.00 | 100.0% | 4.9%▲4.5 |
| 13 | Arshdeep BainsFVAN | VAN | 21.56 | 19 | 15.40 | 58.3% | 3.2%▲3.1 |
| 14 | Kevin BahlDCGY | CGY | 21.49 | 17 | 10.75 | 66.7% | 4.8%▲4.6 |
| 15 | Braden SchneiderDNYR | NYR | 20.94 | 29 | 20.94 | 50.0% | 19%▲17 |
| 16 | Colton SissonsFTOR | TOR | 20.67 | 20 | 5.91 | 77.8% | 3.3%▲3.1 |
| 17 | Easton CowanFTOR | TOR | 20.19 | 21 | 2.88 | 87.5% | 50%▲47 |
| 18 | Kirill MarchenkoFTOR | TOR | 19.85 | 27 | 4.41 | 81.8% | 98%▲7 |
| 19 | Brady SkjeiDNSH | NSH | 19.67 | 15 | 19.67 | 50.0% | 19%▼31 |
| 20 | Ryker EvansDSEA | SEA | 19.57 | 18 | 9.78 | 66.7% | 14%▲13 |
| 21 | Simon NemecDCGY | CGY | 19.39 | 19 | 12.93 | 60.0% | 62%▲52 |
| 22 | Eetu LuostarinenFFLA | FLA | 19.37 | 22 | 2.77 | 87.5% | 11%▲9.1 |
| 23 | Alberts SmitsDNYR | NYR | 19.32 | 31 | 13.53 | 58.8% | 35%▲34 |
| 24 | Noah DobsonDMTL | MTL | 19.13 | 16 | 15.30 | 55.6% | 97%▼1.3 |
| 25 | Mikey AndersonDLAK | LAK | 19.05 | 16 | 3.81 | 83.3% | 7.3%▲6.9 |
| 26 | Cody CeciDLAK | LAK | 18.97 | 16 | 7.59 | 71.4% | 0.3% |
| 27 | Mattias EkholmDEDM | EDM | 18.12 | 36 | 6.59 | 73.3% | 77%▲9.7 |
| 28 | Alex FormentonFEDM | EDM | 17.93 | 27 | 6.72 | 72.7% | 9.6%▲9.6 |
| 29 | Sandis VilmanisFFLA | FLA | 17.80 | 24 | 5.08 | 77.8% | 6.4%▲6.3 |
| 30 | Will BorgenDBOS | BOS | 17.70 | 17 | 10.62 | 62.5% | 4.1%▲3.8 |
| 31 | Hampus LindholmDBOS | BOS | 17.65 | 17 | 10.59 | 62.5% | 16%▲15 |
| 32 | Oliver Ekman-LarssonDTOR | TOR | 17.48 | 27 | 19.66 | 47.1% | 43%▲32 |
| 33 | Adam LarssonDSEA | SEA | 17.24 | 17 | 10.34 | 62.5% | 22%▼19 |
| 34 | Auston MatthewsFTOR | TOR | 17.17 | 28 | 8.59 | 66.7% | 99% |
| 35 | Brandon MontourDSEA | SEA | 16.47 | 18 | 6.59 | 71.4% | 83%▲10 |
| 36 | John MarinoDUTA | UTA | 16.20 | 19 | 6.48 | 71.4% | 18%▲13 |
| 37 | Connor McDavidFEDM | EDM | 16.17 | 30 | 8.09 | 66.7% | 100%▲1.5 |
| 38 | Vladislav GavrikovDNYR | NYR | 16.15 | 33 | 14.36 | 52.9% | 41%▼5.7 |
| 39 | MacKenzie WeegarDUTA | UTA | 16.13 | 19 | 3.23 | 83.3% | 93%▼6.8 |
| 40 | Evan BouchardDEDM | EDM | 16.05 | 37 | 8.02 | 66.7% | 100% |
| 41 | Jack RoslovicFTOR | TOR | 15.90 | 26 | 4.54 | 77.8% | 34%▲26 |
| 42 | Jonathan LekkerimäkiFVAN | VAN | 15.73 | 23 | 2.62 | 85.7% | 25%▲25 |
| 43 | Jeremy LauzonDVGK | VGK | 15.67 | 15 | 3.92 | 80.0% | 24%▲22 |
| 44 | Dmitri SimashevDUTA | UTA | 15.57 | 15 | 7.78 | 66.7% | 20%▲20 |
| 45 | Jake MiddletonDCGY | CGY | 15.42 | 16 | 19.27 | 44.4% | 5.7%▲5.3 |
| 46 | Eeli TolvanenFNYR | NYR | 15.40 | 23 | 17.96 | 46.2% | 36%▼9.4 |
| 47 | Anton FrondellFCHI | CHI | 15.33 | 27 | 13.14 | 53.8% | 72%▲51 |
| 48 | Marco RossiFVAN | VAN | 15.27 | 24 | 7.63 | 66.7% | 58%▲12 |
| 49 | Will CuylleFNYR | NYR | 15.12 | 24 | 10.08 | 60.0% | 64% |
| 50 | Brett KulakDCOL | COL | 15.03 | 16 | 11.27 | 57.1% | 0.3% |
| 51 | Clayton KellerFUTA | UTA | 15.03 | 16 | 0.00 | 100.0% | 100%▲2 |
| 52 | Troy StecherDTOR | TOR | 14.93 | 28 | 6.40 | 70.0% | 0.2% |
| 53 | Nick PaulFTOR | TOR | 14.79 | 20 | 14.79 | 50.0% | 8.1%▲7.7 |
| 54 | Noah LabaFNYR | NYR | 14.75 | 24 | 19.67 | 42.9% | 11%▲11 |
| 55 | Vince DunnDSEA | SEA | 14.72 | 16 | 7.36 | 66.7% | 88%▲11 |
| 56 | Luke SchennDVAN | VAN | 14.57 | 25 | 9.72 | 60.0% | 7.3%▲6.9 |
| 57 | Filip HronekDVAN | VAN | 14.55 | 33 | 12.73 | 53.3% | 91%▲14 |
| 58 | Kris LetangDPIT | PIT | 14.52 | 17 | 3.63 | 80.0% | 46%▼16 |
| 59 | Luke HughesDNJD | NJD | 14.46 | 17 | 0.00 | 100.0% | 84%▲40 |
| 60 | Dougie HamiltonDNJD | NJD | 14.33 | 17 | 3.58 | 80.0% | 84%▲12 |
| 61 | Noah HanifinDVGK | VGK | 14.26 | 17 | 3.56 | 80.0% | 52%▼23 |
| 62 | Alexandre CarrierDMTL | MTL | 14.09 | 17 | 14.09 | 50.0% | 14%▲12 |
| 63 | Zeev BuiumDVAN | VAN | 13.88 | 39 | 15.42 | 47.4% | 74%▲54 |
| 64 | Jack HughesFNJD | NJD | 13.51 | 18 | 3.38 | 80.0% | 100% |
| 65 | Adam FoxDNYR | NYR | 13.48 | 31 | 11.55 | 53.8% | 99%▲6.5 |
| 66 | Vasily PodkolzinFEDM | EDM | 13.12 | 27 | 6.56 | 66.7% | 64%▲55 |
| 67 | Mikhail SergachevDUTA | UTA | 13.07 | 18 | 6.53 | 66.7% | 98%▲5.2 |
| 68 | Wyatt KaiserDCHI | CHI | 12.95 | 37 | 14.57 | 47.1% | 6.5%▲6.2 |
| 69 | Jonas SiegenthalerDNJD | NJD | 12.73 | 19 | 3.18 | 80.0% | 3.3%▲2.9 |
| 70 | Sam RinzelDCHI | CHI | 12.48 | 34 | 12.48 | 50.0% | 33%▲32 |
| 71 | Leon DraisaitlFEDM | EDM | 12.27 | 29 | 4.09 | 75.0% | 100% |
| 72 | Max SassonFVAN | VAN | 11.97 | 25 | 21.54 | 35.7% | 4.9%▲4.9 |
| 73 | Anthony ManthaFNJD | NJD | 11.91 | 15 | 3.97 | 75.0% | 53%▲16 |
| 74 | Brendan GallagherFVAN | VAN | 11.90 | 20 | 20.83 | 36.4% | 3.3%▲2.8 |
| 75 | Jared SpurgeonDMIN | MIN | 11.83 | 15 | 23.66 | 33.3% | 9.3%▲7.4 |
| 76 | Arseny GritsyukFNJD | NJD | 11.83 | 15 | 3.94 | 75.0% | 22%▲21 |
| 77 | Owen MichaelsFEDM | EDM | 11.82 | 20 | 11.82 | 50.0% | 0.0% |
| 78 | Artyom LevshunovDCHI | CHI | 11.65 | 36 | 14.97 | 43.8% | 45%▲43 |
| 79 | Elias PetterssonDVAN | VAN | 11.42 | 26 | 6.85 | 62.5% | 13%▲13 |
| 80 | Mathieu JosephFEDM | EDM | 11.39 | 26 | 9.11 | 55.6% | 0.1% |
| 81 | Drew O'ConnorFVAN | VAN | 11.36 | 26 | 22.71 | 33.3% | 5.9%▲4.5 |
| 82 | Darren RaddyshDTOR | TOR | 11.25 | 32 | 16.88 | 40.0% | 100%▲3.5 |
| 83 | Trent FredericFEDM | EDM | 11.13 | 16 | 11.13 | 50.0% | 4.0%▲3.8 |
| 84 | Zayne ParekhDCGY | CGY | 10.92 | 16 | 21.84 | 33.3% | 69%▲55 |
| 85 | John TavaresFTOR | TOR | 10.77 | 22 | 24.23 | 30.8% | 96%▲9.3 |
| 86 | Radko GudasDFLA | FLA | 10.71 | 22 | 2.68 | 80.0% | 25%▲22 |
| 87 | Frank NazarFCHI | CHI | 10.70 | 28 | 14.98 | 41.7% | 54%▲34 |
| 88 | Patrick KaneFCHI | CHI | 10.69 | 34 | 12.48 | 46.2% | 80%▲0.9 |
| 89 | Ryan DonatoFCHI | CHI | 10.68 | 22 | 26.71 | 28.6% | 9.9%▲4.3 |
| 90 | Tyler BertuzziFCHI | CHI | 10.53 | 29 | 10.53 | 50.0% | 62%▼3.2 |
| 91 | Oliver MooreFCHI | CHI | 10.50 | 23 | 15.74 | 40.0% | 22%▲22 |
| 92 | Trevor van RiemsdykDPIT | PIT | 10.35 | 17 | 6.90 | 60.0% | 0.8% |
| 93 | Jake McCabeDTOR | TOR | 9.87 | 24 | 9.87 | 50.0% | 34%▼15 |
| 94 | Linus KarlssonFVAN | VAN | 9.80 | 25 | 14.69 | 40.0% | 11%▲9.5 |
| 95 | Matthew SchaeferDNYI | NYI | 9.69 | 19 | 9.69 | 50.0% | 100% |
| 96 | Gabe PerreaultFNYR | NYR | 9.57 | 25 | 11.96 | 44.4% | 53%▲47 |
| 97 | Jordan GreenwayFCHI | CHI | 9.47 | 25 | 9.47 | 50.0% | 0.3% |
| 98 | Elias PetterssonFVAN | VAN | 9.39 | 26 | 4.69 | 66.7% | 87%▼5.8 |
| 99 | Cole SmithFCHI | CHI | 9.24 | 26 | 9.24 | 50.0% | 0.1% |
| 100 | Lane HutsonDMTL | MTL | 9.04 | 20 | 21.09 | 30.0% | 99%▲3.1 |
Minimum sample: 15 min (it scales with games played and sequence coverage). 267 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.