On-ice results

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

2024-255-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 2024-25: Zach Hyman (EDM), 15.44 HDCF/60.

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

Strength5-on-5 Even strength All situations

595 qualified

Show

High-Danger Chances For per 60 (HDCF/60) Leaders, 2024-25, 5-on-5
#	Player	Team
1	Zach HymanFEDM	EDM	15.44	1,080	9.88	61.0%	98%▼1.4
2	Connor McDavidFEDM	EDM	15.35	1,153	10.25	60.0%	100%▲1.5
3	Tony DeAngeloDNYI	NYI	14.98	653	13.33	52.9%	24%▲18
4	Jordan StaalFCAR	CAR	14.72	946	10.60	58.1%	20%▲13
5	Leon DraisaitlFEDM	EDM	14.62	1,182	9.65	60.3%	100%
6	Auston MatthewsFTOR	TOR	14.59	954	9.49	60.6%	99%
7	Mattias EkholmDEDM	EDM	14.24	1,171	10.04	58.6%	77%▲9.7
8	Nathan MacKinnonFCOL	COL	14.13	1,350	11.25	55.7%	100%▲0.8
9	Jordan MartinookFCAR	CAR	14.13	1,007	10.37	57.7%	4.3%▲2.7
10	Barrett HaytonFUTA	UTA	13.95	1,028	9.34	59.9%	11%▲11
11	Brent BurnsDCAR	CAR	13.80	1,295	10.98	55.7%	50%▼14
12	Marcus PetterssonDPIT/VAN	PIT/VAN	13.80	1,426	11.40	54.8%	5.8%▲5.4
13	Anthony CirelliFTBL	TBL	13.76	1,138	7.59	64.4%	51%▲19
14	Seth JarvisFCAR	CAR	13.67	957	9.84	58.1%	95%▲1.5
15	Mitch MarnerFTOR	TOR	13.65	1,183	9.64	58.6%	99%▲1.1
16	Bryan RustFPIT	PIT	13.60	1,041	13.43	50.3%	86%▲3.2
17	Connor McMichaelFWSH	WSH	13.58	1,113	11.26	54.7%	34%▲27
18	Evan BouchardDEDM	EDM	13.58	1,524	10.23	57.0%	100%
19	Tomas NosekFFLA	FLA	13.55	509	9.43	59.0%	—
20	Brandon HagelFTBL	TBL	13.54	1,232	7.74	63.6%	100%▲1.9
21	Kevin HayesFPIT	PIT	13.33	612	9.61	58.1%	0.0%
22	Jaccob SlavinDCAR	CAR	13.33	1,400	10.16	56.8%	15%▲3.8
23	Sebastian AhoFCAR	CAR	13.28	1,075	11.16	54.3%	99%▲0.9
24	Sidney CrosbyFPIT	PIT	13.25	1,273	12.35	51.7%	100%▲2.4
25	Matthew KniesFTOR	TOR	13.24	1,088	9.93	57.1%	94%▲14
26	Phillip DanaultFLAK	LAK	13.20	1,095	10.02	56.8%	4.9%▲4.5
27	John MarinoDUTA	UTA	13.17	624	10.96	54.6%	18%▲13
28	Jack EichelFVGK	VGK	13.16	1,149	11.39	53.6%	99%▲1.4
29	Taylor RaddyshFWSH	WSH	13.15	935	10.39	55.9%	0.1%
30	Anthony DuclairFNYI	NYI	13.14	566	11.55	53.2%	3.3%▲3
31	Warren FoegeleFLAK	LAK	13.12	1,098	9.35	58.4%	4.0%▲3.9
32	Thomas HarleyDDAL	DAL	13.10	1,429	10.92	54.5%	88%▲8.9
33	Jean-Gabriel PageauFNYI	NYI	13.09	1,013	11.73	52.7%	12%▲11
34	Sean MonahanFCBJ	CBJ	13.08	743	11.14	54.0%	19%▲13
35	Mark StoneFVGK	VGK	13.04	953	10.08	56.4%	93%▲9
36	Pierre-Luc DuboisFWSH	WSH	13.03	1,147	10.10	56.3%	41%▲32
37	Anders LeeFNYI	NYI	13.00	1,126	11.03	54.1%	29%▼20
38	Matthew TkachukFFLA	FLA	12.99	716	10.23	56.0%	100%▲2.7
39	John CarlsonDWSH	WSH	12.99	1,293	11.18	53.7%	99%▲2.2
40	Nikita KucherovFTBL	TBL	12.92	1,263	9.64	57.3%	100%
41	Josh MorrisseyDWPG	WPG	12.87	1,567	9.73	56.9%	99%▲3.3
42	Artturi LehkonenFCOL	COL	12.82	1,100	10.59	54.8%	54%▲37
43	Justin DanforthFCBJ	CBJ	12.82	721	10.82	54.2%	0.0%
44	Timo MeierFNJD	NJD	12.81	1,204	10.02	56.1%	82%▼8
45	Noah HanifinDVGK	VGK	12.80	1,482	10.04	56.0%	52%▼23
46	Rickard RakellFPIT	PIT	12.75	1,256	11.08	53.5%	82%▲9.9
47	Tommy NovakFNSH/PIT	NSH/PIT	12.74	622	11.87	51.8%	11%▲9.1
48	Ivan BarbashevFVGK	VGK	12.73	1,070	11.22	53.2%	67%▲26
49	Eric RobinsonFCAR	CAR	12.71	935	10.72	54.2%	3.2%▲3.1
50	Nico HischierFNJD	NJD	12.69	1,073	9.90	56.2%	98%▲3
51	Brendan GallagherFMTL	MTL	12.67	990	10.00	55.9%	3.3%▲2.8
52	Brandt ClarkeDLAK	LAK	12.65	1,091	9.52	57.1%	96%▲11
53	Zach WerenskiDCBJ	CBJ	12.64	1,704	11.13	53.2%	100%
54	Sean DurziDUTA	UTA	12.64	518	9.39	57.4%	37%▲35
55	Matt DucheneFDAL	DAL	12.64	1,106	11.55	52.2%	62%▼17
56	Stefan NoesenFNJD	NJD	12.63	978	9.63	56.7%	0.1%
57	Mark JankowskiFNSH/CAR	NSH/CAR	12.55	622	9.17	57.8%	0.2%
58	Mathew DumbaDDAL	DAL	12.53	895	10.99	53.3%	0.1%
59	Cale MakarDCOL	COL	12.52	1,457	10.42	54.6%	100%▲1
60	Jamie BennFDAL	DAL	12.49	937	12.29	50.4%	22%▲18
61	Adam FoxDNYR	NYR	12.47	1,265	10.39	54.6%	99%▲6.5
62	Trevor MooreFLAK	LAK	12.45	935	9.82	55.9%	9.1%
63	Nick SchmaltzFUTA	UTA	12.45	1,137	9.76	56.1%	94%▲4.7
64	Quinton ByfieldFLAK	LAK	12.41	1,141	8.20	60.2%	86%▲18
65	Jackson BlakeFCAR	CAR	12.41	914	8.93	58.2%	68%▲21
66	Brady TkachukFOTT	OTT	12.36	985	9.44	56.7%	100%▲2.2
67	Tomas HertlFVGK	VGK	12.36	985	9.50	56.5%	83%▲2.9
68	Martin NecasFCAR/COL	CAR/COL	12.30	1,113	11.70	51.2%	100%▲1.3
69	Dmitri VoronkovFCBJ	CBJ	12.28	1,036	12.69	49.2%	19%▲17
70	Brayden PointFTBL	TBL	12.28	1,148	11.18	52.3%	95%▲7.7
71	Dougie HamiltonDNJD	NJD	12.26	1,003	11.66	51.3%	84%▲12
72	Shayne GostisbehereDCAR	CAR	12.25	994	10.20	54.6%	96%▲16
73	Alex PietrangeloDVGK	VGK	12.25	1,298	10.31	54.3%	4.0%▲3.7
74	Jiri KulichFBUF	BUF	12.24	774	11.70	51.1%	26%▲25
75	Justin BarronDNSH/MTL	NSH/MTL	12.24	966	10.62	53.5%	0.1%
76	Bo HorvatFNYI	NYI	12.22	1,198	11.21	52.1%	91%▲1.7
77	A.J. GreerFFLA	FLA	12.20	728	10.22	54.4%	7.5%▲5.8
78	Clayton KellerFUTA	UTA	12.19	1,167	9.98	55.0%	100%▲2
79	Jake GuentzelFTBL	TBL	12.18	1,212	10.40	53.9%	100%
80	Erik KarlssonDPIT	PIT	12.17	1,548	12.56	49.2%	95%
81	Filip ChytilFNYR/VAN	NYR/VAN	12.16	715	12.58	49.2%	6.4%▲6.3
82	Mikko RantanenFCOL/DAL/CAR	COL/DAL/CAR	12.14	1,310	11.96	50.4%	99%▲0.7
83	Dylan DeMeloDWPG	WPG	12.12	1,534	9.78	55.4%	5.6%▲5.4
84	Gustav ForslingDFLA	FLA	12.12	1,490	10.43	53.8%	42%▲18
85	Reilly SmithFNYR/VGK	NYR/VGK	12.10	982	9.96	54.8%	—
86	Dante FabbroDCBJ/NSH	CBJ/NSH	12.10	1,274	10.88	52.7%	3.2%▲3.1
87	Josh DoanFUTA	UTA	12.10	600	7.30	62.4%	61%▲44
88	Mark ScheifeleFWPG	WPG	12.05	1,344	10.80	52.7%	100%
89	Ryan McDonaghDTBL	TBL	12.03	1,377	8.76	57.9%	7.3%▲6.8
90	Michael BuntingFPIT/NSH	PIT/NSH	12.03	993	11.48	51.2%	4.5%▲1.8
91	Blake ColemanFCGY	CGY	12.03	1,128	10.38	53.7%	38%▼25
92	Zachary Aston-ReeseFCBJ	CBJ	12.01	929	10.72	52.8%	0.0%
93	Viktor ArvidssonFEDM	EDM	12.00	880	9.54	55.7%	32%▲23
94	Alexander RomanovDNYI	NYI	12.00	1,245	12.43	49.1%	15%▲15
95	Frank VatranoFANA	ANA	11.99	1,066	13.17	47.7%	6.4%▲6.2
96	Zachary L'HeureuxFNSH	NSH	11.98	676	10.21	54.0%	11%▲11
97	Darnell NurseDEDM	EDM	11.97	1,429	8.90	57.3%	70%▼12
98	Dylan SambergDWPG	WPG	11.96	1,078	9.51	55.7%	4.0%▲3.9
99	Jeff SkinnerFEDM	EDM	11.93	830	9.91	54.6%	0.1%
100	Aaron EkbladDFLA	FLA	11.93	971	10.63	52.9%	50%▲34

Minimum sample: 492 min (it scales with games played and sequence coverage). 325 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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