On-ice results

High-Danger Chances For per 60 (HDCF/60) Leaders

2023-245-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 2023-24: Zach Hyman (EDM), 18.85 HDCF/60.

Season2026-27 2025-26 2024-25 2023-24

Strength5-on-5 Even strength All situations

596 qualified

Show

High-Danger Chances For per 60 (HDCF/60) Leaders, 2023-24, 5-on-5
#	Player	Team
1	Zach HymanFEDM	EDM	18.85	1,235	9.72	66.0%	98%▼1.4
2	Connor McDavidFEDM	EDM	18.22	1,235	9.96	64.7%	100%▲1.5
3	Ryan Nugent-HopkinsFEDM	EDM	17.62	1,083	10.47	62.7%	77%▲15
4	Mattias EkholmDEDM	EDM	16.95	1,366	9.97	63.0%	77%▲9.7
5	Warren FoegeleFEDM	EDM	16.86	1,014	11.66	59.1%	4.0%▲3.9
6	Evan BouchardDEDM	EDM	16.79	1,458	9.59	63.7%	100%
7	Matthew TkachukFFLA	FLA	16.28	1,039	11.89	57.8%	100%▲2.7
8	Bryan RustFPIT	PIT	15.99	901	12.32	56.5%	86%▲3.2
9	Sidney CrosbyFPIT	PIT	15.95	1,245	12.67	55.7%	100%▲2.4
10	Auston MatthewsFTOR	TOR	15.72	1,241	10.98	58.9%	99%
11	Leon DraisaitlFEDM	EDM	15.69	1,258	10.54	59.8%	100%
12	Tyler BertuzziFTOR	TOR	15.62	1,118	11.59	57.4%	62%▼3.2
13	Jake GuentzelFPIT/CAR	PIT/CAR	15.26	1,026	11.40	57.2%	100%
14	Nathan MacKinnonFCOL	COL	15.17	1,388	10.46	59.2%	100%▲0.8
15	Brady TkachukFOTT	OTT	15.14	1,185	11.75	56.3%	100%▲2.2
16	Jordan StaalFCAR	CAR	15.11	997	7.70	66.2%	20%▲13
17	Sam BennettFFLA	FLA	15.06	900	11.60	56.5%	83%▲4
18	Jesper FastFCAR	CAR	15.01	823	7.80	65.8%	—
19	Noah CatesFPHI	PHI	14.97	657	8.76	63.1%	18%▲15
20	Teddy BluegerFVAN	VAN	14.80	831	9.53	60.8%	4.8%▲4.6
21	Erik KarlssonDPIT	PIT	14.76	1,590	11.29	56.7%	95%
22	Ross ColtonFCOL	COL	14.75	936	11.86	55.4%	8.1%▲7.8
23	Jesper BrattFNJD	NJD	14.72	1,125	11.47	56.2%	96%▲11
24	Anders LeeFNYI	NYI	14.68	1,087	11.20	56.7%	29%▼20
25	James van RiemsdykFBOS	BOS	14.59	769	11.47	56.0%	0.3%
26	Tommy NovakFNSH	NSH	14.53	818	8.73	62.5%	11%▲9.1
27	Nico HischierFNJD	NJD	14.48	957	12.47	53.7%	98%▲3
28	Artturi LehkonenFCOL	COL	14.46	589	9.47	60.4%	54%▲37
29	Carter VerhaegheFFLA	FLA	14.46	1,037	10.59	57.7%	73%▲1
30	Artemi PanarinFNYR	NYR	14.45	1,262	11.03	56.7%	98%▼1.2
31	Darnell NurseDEDM	EDM	14.43	1,417	11.34	56.0%	70%▼12
32	John TavaresFTOR	TOR	14.35	1,108	11.43	55.7%	96%▲9.3
33	Conor GarlandFVAN	VAN	14.34	1,004	8.84	61.9%	10%▲7.4
34	Mark GiordanoDTOR	TOR	14.29	630	11.05	56.4%	—
35	Brendan GallagherFMTL	MTL	14.27	929	13.11	52.1%	3.3%▲2.8
36	Brent BurnsDCAR	CAR	14.18	1,278	9.53	59.8%	50%▼14
37	Cody CeciDEDM	EDM	14.15	1,327	12.07	54.0%	0.3%
38	William NylanderFTOR	TOR	14.13	1,167	12.70	52.7%	99%▼0.9
39	Ryan McDonaghDNSH	NSH	14.09	1,257	9.12	60.7%	7.3%▲6.8
40	Evander KaneFEDM	EDM	14.01	1,109	11.79	54.3%	5.7%▲0.9
41	Mikko RantanenFCOL	COL	13.97	1,370	10.91	56.2%	99%▲0.7
42	Arthur KaliyevFLAK	LAK	13.88	523	10.78	56.3%	—
43	Jaccob SlavinDCAR	CAR	13.88	1,384	9.80	58.6%	15%▲3.8
44	Alexis LafrenièreFNYR	NYR	13.88	1,237	11.50	54.7%	82%▲13
45	Valeri NichushkinFCOL	COL	13.86	797	12.35	52.9%	60%
46	Gustav ForslingDFLA	FLA	13.85	1,352	10.12	57.8%	42%▲18
47	Wyatt JohnstonFDAL	DAL	13.84	1,075	9.82	58.5%	100%▲0.8
48	Miles WoodFCOL	COL	13.82	894	13.55	50.5%	0.1%
49	Jamie BennFDAL	DAL	13.82	907	10.84	56.0%	22%▲18
50	Jordan MartinookFCAR	CAR	13.80	1,057	8.06	63.1%	4.3%▲2.7
51	Samuel GirardDCOL	COL	13.79	953	11.39	54.8%	8.2%▲7.8
52	Sean WalkerDPHI/COL	PHI/COL	13.76	1,295	11.72	54.0%	60%▼11
53	Pius SuterFVAN	VAN	13.75	807	9.44	59.3%	4.1%▲3.3
54	Drew O'ConnorFPIT	PIT	13.74	1,070	12.34	52.7%	5.9%▲4.5
55	Dylan StromeFWSH	WSH	13.74	1,157	11.51	54.4%	82%▲10
56	Filip ForsbergFNSH	NSH	13.71	1,155	10.65	56.3%	99%▲1.4
57	Mitch MarnerFTOR	TOR	13.66	1,006	11.33	54.7%	99%▲1.1
58	Timothy LiljegrenDTOR	TOR	13.65	888	11.02	55.3%	4.8%▲4.7
59	Gustav NyquistFNSH	NSH	13.61	1,058	11.40	54.4%	0.0%
60	Sebastian AhoDNYI	NYI	13.55	846	11.99	53.1%	—
61	Brett KulakDEDM	EDM	13.52	1,162	9.81	58.0%	0.3%
62	Matt BoldyFMIN	MIN	13.52	1,043	9.09	59.8%	100%
63	Tyler MyersDVAN	VAN	13.52	1,221	9.78	58.0%	4.1%▲3.7
64	Quinn HughesDVAN	VAN	13.51	1,542	11.60	53.8%	100%
65	Jake McCabeDTOR	TOR	13.50	1,240	11.57	53.9%	34%▼15
66	Kirill KaprizovFMIN	MIN	13.50	1,204	9.86	57.8%	98%▼0.8
67	Roman JosiDNSH	NSH	13.48	1,544	10.88	55.3%	98%
68	Elias PetterssonFVAN	VAN	13.47	1,091	10.88	55.3%	87%▼5.8
69	Brayden PointFTBL	TBL	13.45	1,226	11.94	53.0%	95%▲7.7
70	Nikita KucherovFTBL	TBL	13.45	1,311	11.71	53.5%	100%
71	Kyle PalmieriFNYI	NYI	13.41	1,074	12.07	52.6%	19%▲10
72	Nick SeelerDPHI	PHI	13.40	1,026	10.70	55.6%	8.9%▲8.4
73	Rickard RakellFPIT	PIT	13.35	957	11.78	53.1%	82%▲9.9
74	Dakota JoshuaFVAN	VAN	13.35	746	9.49	58.5%	4.8%▲4.6
75	Aaron EkbladDFLA	FLA	13.34	787	10.06	57.0%	50%▲34
76	Marcus PetterssonDPIT	PIT	13.33	1,557	11.48	53.7%	5.8%▲5.4
77	Josh MansonDCOL	COL	13.33	1,175	10.37	56.3%	32%▲16
78	Vincent TrocheckFNYR	NYR	13.29	1,241	11.84	52.9%	88%▼5.5
79	Bo HorvatFNYI	NYI	13.28	1,202	12.18	52.2%	91%▲1.7
80	Adam LowryFWPG	WPG	13.28	1,044	9.54	58.2%	5.7%▲5.5
81	Ondrej PalatFNJD	NJD	13.27	931	10.69	55.4%	0.1%
82	Dante FabbroDNSH	NSH	13.27	814	10.24	56.4%	3.2%▲3.1
83	Shane PintoFOTT	OTT	13.26	588	10.10	56.8%	37%▲22
84	Sean CouturierFPHI	PHI	13.24	983	9.64	57.9%	9.2%▲7.2
85	Jonathan DrouinFCOL	COL	13.21	1,095	10.03	56.8%	0.5%
86	Ryan O'ReillyFNSH	NSH	13.21	1,099	10.43	55.9%	84%▲5.1
87	Roope HintzFDAL	DAL	13.20	1,000	8.46	60.9%	85%▲7.6
88	Matthew KniesFTOR	TOR	13.18	1,001	11.63	53.1%	94%▲14
89	Travis KonecnyFPHI	PHI	13.17	1,080	11.06	54.4%	92%▲9.9
90	Miro HeiskanenDDAL	DAL	13.15	1,364	9.10	59.1%	100%▲4.5
91	Morgan RiellyDTOR	TOR	13.15	1,369	12.71	50.8%	76%▼4.7
92	Ryan McLeodFEDM	EDM	13.14	973	10.30	56.1%	26%▲20
93	Pierre EngvallFNYI	NYI	13.12	1,006	10.61	55.3%	0.0%
94	Aleksander BarkovFFLA	FLA	13.10	930	8.07	61.9%	97%▲7.2
95	Claude GirouxFOTT	OTT	13.04	1,155	11.58	53.0%	30%▲20
96	Nils HoglanderFVAN	VAN	13.03	912	9.54	57.7%	4.0%▲3.9
97	Andrei KuzmenkoFVAN/CGY	VAN/CGY	13.02	816	10.96	54.3%	11%▲9.8
98	Max DomiFTOR	TOR	13.02	968	12.21	51.6%	5.8%▲4.6
99	Luke EvangelistaFNSH	NSH	13.02	917	9.81	57.0%	70%▲23
100	Devon ToewsDCOL	COL	13.01	1,472	10.15	56.2%	60%▼2.3

Minimum sample: 492 min (it scales with games played and sequence coverage). 328 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 →

All NHL leaderboards →

HDCF/60 leaderboard

How to read it

How reliable is it?

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