On-ice results

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

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

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

Strength5-on-5 Even strength All situations

597 qualified

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High-Danger Chances For per 60 (HDCF/60) Leaders, 2023-24, Even strength
#	Player	Team
1	Zach HymanFEDM	EDM	18.85	1,254	9.76	65.9%	98%▼1.4
2	Connor McDavidFEDM	EDM	18.21	1,282	10.39	63.7%	100%▲1.5
3	Ryan Nugent-HopkinsFEDM	EDM	17.55	1,114	10.66	62.2%	77%▲15
4	Mattias EkholmDEDM	EDM	16.80	1,403	10.35	61.9%	77%▲9.7
5	Warren FoegeleFEDM	EDM	16.79	1,018	11.66	59.0%	4.0%▲3.9
6	Evan BouchardDEDM	EDM	16.60	1,515	10.14	62.1%	100%
7	Matthew TkachukFFLA	FLA	16.52	1,079	11.85	58.2%	100%▲2.7
8	Auston MatthewsFTOR	TOR	15.95	1,301	11.02	59.1%	99%
9	Sidney CrosbyFPIT	PIT	15.91	1,282	12.87	55.3%	100%▲2.4
10	Bryan RustFPIT	PIT	15.85	920	12.33	56.3%	86%▲3.2
11	Leon DraisaitlFEDM	EDM	15.61	1,307	11.02	58.6%	100%
12	Tyler BertuzziFTOR	TOR	15.55	1,123	11.59	57.3%	62%▼3.2
13	Sam BennettFFLA	FLA	15.42	942	11.66	56.9%	83%▲4
14	Nathan MacKinnonFCOL	COL	15.24	1,444	10.34	59.6%	100%▲0.8
15	Jake GuentzelFPIT/CAR	PIT/CAR	15.20	1,058	11.80	56.3%	100%
16	Brady TkachukFOTT	OTT	15.12	1,222	11.49	56.8%	100%▲2.2
17	Jesper FastFCAR	CAR	15.01	823	7.80	65.8%	—
18	Jesper BrattFNJD	NJD	14.88	1,165	11.79	55.8%	96%▲11
19	Jordan StaalFCAR	CAR	14.87	1,012	7.64	66.1%	20%▲13
20	Ross ColtonFCOL	COL	14.74	953	12.09	54.9%	8.1%▲7.8
21	Erik KarlssonDPIT	PIT	14.72	1,638	11.24	56.7%	95%
22	Teddy BluegerFVAN	VAN	14.69	837	9.75	60.1%	4.8%▲4.6
23	Noah CatesFPHI	PHI	14.68	670	8.78	62.6%	18%▲15
24	Carter VerhaegheFFLA	FLA	14.67	1,071	10.53	58.2%	73%▲1
25	James van RiemsdykFBOS	BOS	14.66	769	11.47	56.1%	0.3%
26	Anders LeeFNYI	NYI	14.64	1,090	11.23	56.6%	29%▼20
27	Artturi LehkonenFCOL	COL	14.60	604	9.23	61.3%	54%▲37
28	John TavaresFTOR	TOR	14.50	1,134	11.54	55.7%	96%▲9.3
29	Darnell NurseDEDM	EDM	14.42	1,460	11.30	56.1%	70%▼12
30	William NylanderFTOR	TOR	14.41	1,216	12.78	53.0%	99%▼0.9
31	Tommy NovakFNSH	NSH	14.40	837	9.10	61.3%	11%▲9.1
32	Artemi PanarinFNYR	NYR	14.31	1,300	10.99	56.6%	98%▼1.2
33	Nico HischierFNJD	NJD	14.29	986	12.53	53.3%	98%▲3
34	Mark GiordanoDTOR	TOR	14.26	631	11.03	56.4%	—
35	Brendan GallagherFMTL	MTL	14.25	930	13.09	52.1%	3.3%▲2.8
36	Conor GarlandFVAN	VAN	14.22	1,025	8.84	61.7%	10%▲7.4
37	Cody CeciDEDM	EDM	14.03	1,351	11.99	53.9%	0.3%
38	Gustav ForslingDFLA	FLA	14.02	1,403	9.92	58.6%	42%▲18
39	Brent BurnsDCAR	CAR	14.01	1,315	9.67	59.2%	50%▼14
40	Ryan McDonaghDNSH	NSH	13.90	1,291	9.06	60.5%	7.3%▲6.8
41	Arthur KaliyevFLAK	LAK	13.88	523	10.78	56.3%	—
42	Evander KaneFEDM	EDM	13.85	1,135	12.00	53.6%	5.7%▲0.9
43	Timothy LiljegrenDTOR	TOR	13.83	916	10.88	56.0%	4.8%▲4.7
44	Mitch MarnerFTOR	TOR	13.81	1,052	11.52	54.5%	99%▲1.1
45	Jordan MartinookFCAR	CAR	13.79	1,057	8.06	63.1%	4.3%▲2.7
46	Filip ForsbergFNSH	NSH	13.79	1,192	10.57	56.6%	99%▲1.4
47	Jamie BennFDAL	DAL	13.78	918	10.78	56.1%	22%▲18
48	Sean WalkerDPHI/COL	PHI/COL	13.77	1,324	11.55	54.4%	60%▼11
49	Pius SuterFVAN	VAN	13.77	824	9.32	59.6%	4.1%▲3.3
50	Valeri NichushkinFCOL	COL	13.76	820	12.08	53.3%	60%
51	Elias PetterssonFVAN	VAN	13.76	1,125	10.99	55.6%	87%▼5.8
52	Miles WoodFCOL	COL	13.75	899	13.61	50.2%	0.1%
53	Jaccob SlavinDCAR	CAR	13.74	1,428	9.75	58.5%	15%▲3.8
54	Alexis LafrenièreFNYR	NYR	13.74	1,271	11.47	54.5%	82%▲13
55	Mikko RantanenFCOL	COL	13.72	1,413	11.00	55.5%	99%▲0.7
56	Sebastian AhoDNYI	NYI	13.67	865	11.79	53.7%	—
57	Samuel GirardDCOL	COL	13.66	975	11.20	55.0%	8.2%▲7.8
58	Wyatt JohnstonFDAL	DAL	13.65	1,103	9.96	57.8%	100%▲0.8
59	Dylan StromeFWSH	WSH	13.62	1,198	11.47	54.3%	82%▲10
60	Drew O'ConnorFPIT	PIT	13.60	1,081	12.38	52.4%	5.9%▲4.5
61	Roman JosiDNSH	NSH	13.56	1,597	10.89	55.5%	98%
62	Brett KulakDEDM	EDM	13.54	1,174	9.81	58.0%	0.3%
63	Quinn HughesDVAN	VAN	13.53	1,596	11.65	53.7%	100%
64	Nikita KucherovFTBL	TBL	13.52	1,349	11.74	53.5%	100%
65	Kirill KaprizovFMIN	MIN	13.50	1,254	9.72	58.1%	98%▼0.8
66	Adam LowryFWPG	WPG	13.49	1,063	9.42	58.9%	5.7%▲5.5
67	Morgan RiellyDTOR	TOR	13.47	1,425	12.80	51.3%	76%▼4.7
68	Tyler MyersDVAN	VAN	13.45	1,240	10.06	57.2%	4.1%▲3.7
69	Brayden PointFTBL	TBL	13.41	1,262	11.98	52.8%	95%▲7.7
70	Josh MansonDCOL	COL	13.41	1,186	10.42	56.3%	32%▲16
71	Jake McCabeDTOR	TOR	13.39	1,277	11.61	53.6%	34%▼15
72	Dakota JoshuaFVAN	VAN	13.38	749	9.53	58.4%	4.8%▲4.6
73	Kyle PalmieriFNYI	NYI	13.37	1,095	12.00	52.7%	19%▲10
74	Jonathan DrouinFCOL	COL	13.35	1,115	10.39	56.2%	0.5%
75	Aaron EkbladDFLA	FLA	13.33	819	10.18	56.7%	50%▲34
76	Nick SeelerDPHI	PHI	13.32	1,040	10.61	55.7%	8.9%▲8.4
77	Gustav NyquistFNSH	NSH	13.32	1,090	11.28	54.1%	0.0%
78	Bo HorvatFNYI	NYI	13.31	1,245	12.10	52.4%	91%▲1.7
79	Rickard RakellFPIT	PIT	13.29	971	11.74	53.1%	82%▲9.9
80	Shane PintoFOTT	OTT	13.29	614	9.97	57.1%	37%▲22
81	Andrei KuzmenkoFVAN/CGY	VAN/CGY	13.25	824	10.92	54.8%	11%▲9.8
82	Logan O'ConnorFCOL	COL	13.25	711	11.48	53.6%	0.2%
83	Matt BoldyFMIN	MIN	13.24	1,078	9.01	59.5%	100%
84	Vincent TrocheckFNYR	NYR	13.23	1,284	11.92	52.6%	88%▼5.5
85	Marcus PetterssonDPIT	PIT	13.22	1,588	11.45	53.6%	5.8%▲5.4
86	Matthew KniesFTOR	TOR	13.22	1,008	11.61	53.2%	94%▲14
87	Ryan O'ReillyFNSH	NSH	13.20	1,137	10.35	56.1%	84%▲5.1
88	Dante FabbroDNSH	NSH	13.17	825	10.55	55.5%	3.2%▲3.1
89	Ondrej PalatFNJD	NJD	13.16	940	10.73	55.1%	0.1%
90	Roope HintzFDAL	DAL	13.15	1,031	8.56	60.6%	85%▲7.6
91	Sean CouturierFPHI	PHI	13.14	1,014	9.94	56.9%	9.2%▲7.2
92	Miro HeiskanenDDAL	DAL	13.09	1,412	9.31	58.4%	100%▲4.5
93	Aleksander BarkovFFLA	FLA	13.07	978	7.92	62.3%	97%▲7.2
94	Claude GirouxFOTT	OTT	13.07	1,194	11.56	53.1%	30%▲20
95	Travis KonecnyFPHI	PHI	13.02	1,115	11.30	53.5%	92%▲9.9
96	Jack McBainFARI	ARI	13.02	719	11.19	53.8%	18%▲15
97	Mathew BarzalFNYI	NYI	13.01	1,319	11.91	52.2%	83%▲10
98	Josh MorrisseyDWPG	WPG	13.00	1,638	12.27	51.4%	99%▲3.3
99	Nils HoglanderFVAN	VAN	13.00	914	9.58	57.6%	4.0%▲3.9
100	Ryan PoehlingFPHI	PHI	13.00	960	10.25	55.9%	6.7%▲5.2

Minimum sample: 492 min (it scales with games played and sequence coverage). 327 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

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