On-ice results

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

2025-26Even strengthThrough 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 2025-26: Zach Hyman (EDM), 16.87 HDCF/60.

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

Strength5-on-5 Even strength All situations

602 qualified

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High-Danger Chances For per 60 (HDCF/60) Leaders, 2025-26, Even strength
#	Player	Team
1	Zach HymanFEDM	EDM	16.87	900	12.07	58.3%	53.7%	49.8%	98%▼1.4
2	Brandon HagelFTBL	TBL	16.03	1,030	11.36	58.5%	54.8%	50.0%	100%▲1.9
3	Brady TkachukFOTT	OTT	15.92	773	10.33	60.7%	55.5%	50.1%	100%▲2.2
4	Alex TurcotteFLAK	LAK	15.35	649	10.54	59.3%	51.3%	49.6%	8.8%▲8.8
5	Jack McBainFUTA	UTA	15.31	882	12.04	56.0%	53.4%	49.8%	18%▲15
6	Brock NelsonFCOL	COL	15.06	1,124	10.94	57.9%	56.9%	49.9%	87%▼4
7	Eric RobinsonFCAR	CAR	15.05	686	10.33	59.3%	55.7%	49.1%	3.2%▲3.1
8	Connor McDavidFEDM	EDM	15.05	1,439	11.09	57.6%	53.3%	50.0%	100%▲1.5
9	Jordan SpenceDOTT	OTT	15.02	1,243	9.27	61.8%	54.8%	49.7%	21%▲17
10	Jeff MalottFLAK	LAK	14.95	506	10.44	58.9%	50.8%	49.7%	0.0%
11	Anthony CirelliFTBL	TBL	14.94	911	11.65	56.2%	55.3%	50.1%	51%▲19
12	Tommy NovakFPIT	PIT	14.94	1,060	11.37	56.8%	50.7%	50.0%	11%▲9.1
13	Nikita KucherovFTBL	TBL	14.89	1,156	11.37	56.7%	55.0%	50.0%	100%
14	Nathan MacKinnonFCOL	COL	14.89	1,370	12.31	54.8%	57.3%	49.8%	100%▲0.8
15	Devon ToewsDCOL	COL	14.88	1,226	11.11	57.3%	57.5%	49.7%	60%▼2.3
16	Chris KreiderFANA	ANA	14.79	953	12.65	53.9%	51.3%	49.7%	62%▲29
17	Gabriel LandeskogFCOL	COL	14.73	798	11.95	55.2%	57.5%	49.9%	50%▲32
18	Mark JankowskiFCAR	CAR	14.69	658	9.67	60.3%	55.4%	49.4%	0.2%
19	Valeri NichushkinFCOL	COL	14.68	977	9.83	59.9%	57.3%	50.0%	60%
20	Evgeni MalkinFPIT	PIT	14.65	778	13.65	51.8%	51.0%	49.5%	82%▲10
21	Joel NystromDCAR	CAR	14.64	529	9.65	60.3%	55.5%	49.2%	4.0%▲4
22	Anders LeeFNYI	NYI	14.62	1,054	13.03	52.9%	47.9%	50.2%	29%▼20
23	Ethen FrankFWSH	WSH	14.61	657	11.50	55.9%	50.0%	49.6%	3.2%▲3.1
24	Zach BensonFBUF	BUF	14.57	840	12.43	54.0%	50.5%	49.8%	56%▲44
25	Brad MarchandFFLA	FLA	14.55	639	15.30	48.7%	51.1%	50.5%	73%▲0.9
26	Mattias EkholmDEDM	EDM	14.55	1,460	10.48	58.1%	53.4%	49.9%	77%▲9.7
27	Beckett SenneckeFANA	ANA	14.53	1,193	12.57	53.6%	50.4%	49.8%	93%▲13
28	Darren RaddyshDTBL	TBL	14.52	1,273	10.51	58.0%	54.3%	49.9%	100%▲3.5
29	John CarlsonDWSH/ANA	WSH/ANA	14.46	1,224	11.91	54.8%	50.3%	49.3%	99%▲2.2
30	Nick BlankenburgDNSH/COL	NSH/COL	14.39	838	10.45	57.9%	48.9%	49.9%	6.4%▲6.3
31	Mason McTavishFANA	ANA	14.31	956	13.18	52.1%	50.5%	49.7%	51%▲36
32	Logan StankovenFCAR	CAR	14.31	1,107	10.68	57.3%	55.9%	49.7%	67%▲42
33	Evan BouchardDEDM	EDM	14.29	1,520	10.77	57.0%	53.5%	49.9%	100%
34	William CarrierFCAR	CAR	14.26	741	8.99	61.3%	55.3%	49.5%	0.1%
35	Ross ColtonFCOL	COL	14.24	842	10.68	57.1%	56.8%	49.6%	8.1%▲7.8
36	Taylor HallFCAR	CAR	14.24	1,015	10.93	56.6%	56.2%	49.5%	28%▲21
37	Leo CarlssonFANA	ANA	14.06	994	13.16	51.7%	51.4%	49.9%	94%▲10
38	Mikael GranlundFANA	ANA	14.06	785	12.31	53.3%	50.7%	49.3%	51%▼13
39	Adam FoxDNYR	NYR	14.05	1,034	7.84	64.2%	48.1%	50.1%	99%▲6.5
40	Ryan Nugent-HopkinsFEDM	EDM	14.03	971	11.56	54.8%	52.6%	49.6%	77%▲15
41	Michael CarconeFUTA	UTA	14.03	919	11.16	55.7%	52.2%	49.5%	5.0%▲4
42	Artturi LehkonenFCOL	COL	14.02	1,014	12.30	53.3%	57.7%	49.7%	54%▲37
43	Radko GudasDANA	ANA	14.00	806	12.59	52.7%	50.4%	49.4%	25%▲22
44	Sam BennettFFLA	FLA	13.95	1,050	12.58	52.6%	51.2%	50.2%	83%▲4
45	Aliaksei ProtasFWSH	WSH	13.90	1,157	12.09	53.5%	50.7%	50.2%	59%▲33
46	Jeffrey VielFANA/BOS	ANA/BOS	13.84	520	13.15	51.3%	49.8%	49.1%	4.0%▲3.9
47	Sidney CrosbyFPIT	PIT	13.84	1,045	12.81	51.9%	49.7%	50.0%	100%▲2.4
48	Rickard RakellFPIT	PIT	13.83	863	12.79	52.0%	49.8%	50.3%	82%▲9.9
49	Martin NecasFCOL	COL	13.82	1,307	12.12	53.3%	57.9%	49.9%	100%▲1.3
50	Jackson BlakeFCAR	CAR	13.81	1,138	10.33	57.2%	56.0%	49.6%	68%▲21
51	Luke EvangelistaFNSH	NSH	13.78	1,132	9.86	58.3%	48.1%	50.2%	70%▲23
52	Tom WilsonFWSH	WSH	13.74	987	10.58	56.5%	50.5%	50.4%	95%▲6.5
53	Nico HischierFNJD	NJD	13.72	1,234	11.24	55.0%	50.1%	50.3%	98%▲3
54	Erik KarlssonDPIT	PIT	13.71	1,321	11.85	53.6%	50.6%	50.3%	95%
55	Troy TerryFANA	ANA	13.70	836	12.84	51.6%	51.4%	49.7%	47%▲34
56	Mike ReillyDCAR	CAR	13.67	575	10.02	57.7%	55.3%	49.1%	0.1%
57	Bryan RustFPIT	PIT	13.67	1,036	12.74	51.8%	50.2%	50.4%	86%▲3.2
58	Nate SchmidtDUTA	UTA	13.65	1,384	10.88	55.7%	53.2%	49.8%	4.9%▲4.5
59	Sam MalinskiDCOL	COL	13.64	1,351	9.95	57.8%	56.6%	49.6%	56%▲33
60	Brent BurnsDCOL	COL	13.63	1,281	10.59	56.3%	56.7%	49.7%	50%▼14
61	Jordan MartinookFCAR	CAR	13.63	946	10.53	56.4%	55.0%	49.9%	4.3%▲2.7
62	Alex OvechkinFWSH	WSH	13.60	1,001	13.24	50.7%	49.7%	49.8%	96%▲1.3
63	Mackie SamoskevichFFLA	FLA	13.59	932	10.31	56.9%	50.9%	49.9%	—
64	Josh DoanFBUF	BUF	13.59	1,042	11.28	54.6%	50.9%	50.1%	61%▲44
65	Josh NorrisFBUF	BUF	13.58	535	11.11	55.0%	51.4%	49.9%	39%▲32
66	Dylan CozensFOTT	OTT	13.57	1,087	9.05	60.0%	55.3%	49.8%	90%▲3.6
67	Lawson CrouseFUTA	UTA	13.57	1,013	11.67	53.8%	53.2%	50.0%	36%▲13
68	K'Andre MillerDCAR	CAR	13.56	1,381	10.26	56.9%	55.6%	50.0%	64%▲26
69	Jesper BrattFNJD	NJD	13.56	1,173	11.77	53.5%	49.9%	50.2%	96%▲11
70	Olen ZellwegerDANA	ANA	13.54	1,148	12.55	51.9%	50.1%	49.8%	31%▲28
71	Jason RobertsonFDAL	DAL	13.52	1,278	10.38	56.6%	52.6%	50.0%	100%▲0.5
72	Jakob ChychrunDWSH	WSH	13.48	1,540	12.28	52.3%	50.2%	50.0%	99%▼0.6
73	Tomas HertlFVGK	VGK	13.48	1,051	9.54	58.6%	54.2%	49.4%	83%▲2.9
74	Sean WalkerDCAR	CAR	13.47	1,510	10.13	57.1%	55.6%	49.9%	60%▼11
75	Shayne GostisbehereDCAR	CAR	13.46	860	11.09	54.8%	55.3%	49.3%	96%▲16
76	Jack EichelFVGK	VGK	13.46	1,154	9.15	59.5%	55.7%	49.7%	99%▲1.4
77	Braeden BowmanFVGK	VGK	13.40	681	9.87	57.6%	54.8%	49.6%	16%▲16
78	Clayton KellerFUTA	UTA	13.39	1,241	10.73	55.5%	53.4%	50.0%	100%▲2
79	Trevor MooreFLAK	LAK	13.38	964	9.84	57.6%	51.2%	49.8%	9.1%
80	Andrei SvechnikovFCAR	CAR	13.35	1,061	12.33	52.0%	55.3%	50.1%	97%▲8.5
81	Hendrix LapierreFWSH	WSH	13.33	639	9.30	58.9%	50.2%	49.7%	7.3%▲7.2
82	Cale MakarDCOL	COL	13.33	1,350	12.04	52.5%	57.6%	49.8%	100%▲1
83	Connor CliftonDPIT	PIT	13.32	729	10.36	56.3%	51.0%	50.6%	7.4%▲6.7
84	Quinn HughesDMIN/VAN	MIN/VAN	13.32	1,680	12.75	51.1%	49.2%	49.9%	100%
85	Alex KillornFANA	ANA	13.32	1,036	12.16	52.3%	50.3%	49.6%	5.1%▲3.5
86	Jackson LaCombeDANA	ANA	13.31	1,532	12.37	51.8%	50.2%	49.8%	97%▲9.4
87	J.J. MoserDTBL	TBL	13.31	1,465	9.99	57.1%	54.2%	50.1%	22%▲20
88	Ryan SheaDPIT	PIT	13.31	1,294	11.69	53.2%	50.8%	49.8%	15%▲9.6
89	Mathieu OlivierFCBJ	CBJ	13.28	795	9.06	59.5%	51.5%	49.8%	18%▲15
90	Jordan StaalFCAR	CAR	13.27	954	10.88	54.9%	55.4%	50.0%	20%▲13
91	Michael MisaFSJS	SJS	13.26	520	12.23	52.0%	47.2%	49.4%	60%▲48
92	Trevor ZegrasFPHI	PHI	13.26	1,231	10.39	56.1%	51.9%	50.2%	86%▲19
93	Alexander NikishinDCAR	CAR	13.25	1,245	11.47	53.6%	56.0%	49.4%	68%▲8.8
94	Jaccob SlavinDCAR	CAR	13.24	689	10.37	56.1%	54.8%	50.2%	15%▲3.8
95	Damon SeversonDCBJ	CBJ	13.24	1,351	9.95	57.1%	51.1%	50.1%	9.4%▲6.2
96	Linus KarlssonFVAN	VAN	13.23	853	11.96	52.5%	43.6%	50.2%	11%▲9.5
97	Brandon SaadFVGK	VGK	13.21	604	10.33	56.1%	53.8%	49.7%	—
98	Cutter GauthierFANA	ANA	13.20	1,036	13.67	49.1%	50.8%	49.9%	98%▲1
99	Dylan StromeFWSH	WSH	13.20	1,136	13.78	48.9%	50.0%	49.9%	82%▲10
100	Jack HughesFNJD	NJD	13.20	1,050	11.14	54.2%	49.9%	49.8%	100%

Minimum sample: 492 min (it scales with games played and sequence coverage). 338 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 →

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HDCF/60 leaderboard

How to read it

How reliable is it?

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