On-ice results

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

2024-25All situationsThrough 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: Matthew Tkachuk (FLA), 18.61 HDCF/60.

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

Strength5-on-5 Even strength All situations

613 qualified

Show

High-Danger Chances For per 60 (HDCF/60) Leaders, 2024-25, All situations
#	Player	Team
1	Matthew TkachukFFLA	FLA	18.61	948	8.73	68.1%	54.7%	50.2%	100%▲2.7
2	Zach HymanFEDM	EDM	18.02	1,379	8.62	67.6%	55.9%	50.0%	98%▼1.4
3	Connor McDavidFEDM	EDM	17.60	1,476	8.98	66.2%	56.4%	50.2%	100%▲1.5
4	Leon DraisaitlFEDM	EDM	17.24	1,528	8.52	66.9%	55.2%	50.1%	100%
5	Sidney CrosbyFPIT	PIT	17.08	1,630	11.26	60.3%	48.5%	50.6%	100%▲2.4
6	Dougie HamiltonDNJD	NJD	16.67	1,271	10.34	61.7%	52.2%	50.3%	84%▲12
7	Rickard RakellFPIT	PIT	16.62	1,563	10.06	62.3%	48.6%	50.5%	82%▲9.9
8	Aleksander BarkovFFLA	FLA	16.49	1,357	9.28	64.0%	55.4%	50.5%	97%▲7.2
9	Nico HischierFNJD	NJD	16.48	1,529	10.95	60.1%	52.9%	50.3%	98%▲3
10	Kevin HayesFPIT	PIT	16.42	771	9.10	64.3%	47.8%	49.6%	0.0%
11	Stefan NoesenFNJD	NJD	16.41	1,243	9.12	64.3%	52.6%	49.9%	0.1%
12	Tony DeAngeloDNYI	NYI	16.30	817	12.78	56.1%	50.0%	50.5%	24%▲18
13	Nikita KucherovFTBL	TBL	16.26	1,653	8.35	66.1%	53.6%	50.2%	100%
14	Carter VerhaegheFFLA	FLA	16.25	1,447	8.17	66.6%	54.9%	50.2%	73%▲1
15	Jack HughesFNJD	NJD	16.21	1,296	9.58	62.8%	52.9%	50.5%	100%
16	Matt DucheneFDAL	DAL	16.18	1,406	10.46	60.7%	50.0%	50.0%	62%▼17
17	Tomas HertlFVGK	VGK	16.13	1,250	8.74	64.9%	53.5%	49.8%	83%▲2.9
18	Jason RobertsonFDAL	DAL	16.12	1,459	9.13	63.8%	50.8%	50.3%	100%▲0.5
19	Auston MatthewsFTOR	TOR	16.10	1,372	11.46	58.4%	52.7%	50.4%	99%
20	Evan BouchardDEDM	EDM	16.06	1,924	9.14	63.7%	56.1%	49.9%	100%
21	Bryan RustFPIT	PIT	16.00	1,402	13.26	54.7%	49.1%	51.0%	86%▲3.2
22	Brayden PointFTBL	TBL	16.00	1,500	9.60	62.5%	53.6%	50.0%	95%▲7.7
23	Nathan MacKinnonFCOL	COL	15.83	1,800	9.83	61.7%	54.5%	50.2%	100%▲0.8
24	Anders LeeFNYI	NYI	15.78	1,399	10.12	60.9%	50.8%	50.1%	29%▼20
25	Sam ReinhartFFLA	FLA	15.67	1,620	8.48	64.9%	55.2%	50.5%	99%
26	Jesper BrattFNJD	NJD	15.64	1,535	10.52	59.8%	53.1%	50.3%	96%▲11
27	Jake GuentzelFTBL	TBL	15.61	1,599	9.15	63.0%	53.3%	50.2%	100%
28	Sam BennettFFLA	FLA	15.56	1,326	10.04	60.8%	54.7%	50.0%	83%▲4
29	William NylanderFTOR	TOR	15.53	1,600	10.13	60.5%	51.1%	50.0%	99%▼0.9
30	Timo MeierFNJD	NJD	15.50	1,429	9.28	62.5%	52.8%	50.1%	82%▼8
31	Mitch MarnerFTOR	TOR	15.39	1,727	11.75	56.7%	52.5%	50.6%	99%▲1.1
32	Brady TkachukFOTT	OTT	15.22	1,313	8.09	65.3%	50.0%	50.2%	100%▲2.2
33	John TavaresFTOR	TOR	15.19	1,367	10.18	59.9%	51.2%	50.1%	96%▲9.3
34	Jack EichelFVGK	VGK	15.18	1,581	11.31	57.3%	54.2%	50.1%	99%▲1.4
35	Alex OvechkinFWSH	WSH	15.05	1,152	11.20	57.3%	50.2%	50.0%	96%▲1.3
36	Mathew BarzalFNYI	NYI	15.04	610	8.75	63.2%	50.9%	50.5%	83%▲10
37	Mark StoneFVGK	VGK	15.01	1,271	10.20	59.6%	54.1%	50.0%	93%▲9
38	Michael BuntingFPIT/NSH	PIT/NSH	15.00	1,180	10.27	59.4%	48.5%	50.3%	4.5%▲1.8
39	Matthew KniesFTOR	TOR	14.92	1,444	10.68	58.3%	52.7%	50.4%	94%▲14
40	Shayne GostisbehereDCAR	CAR	14.90	1,296	8.42	63.9%	54.9%	49.2%	96%▲16
41	Sebastian AhoFCAR	CAR	14.89	1,588	10.39	58.9%	55.2%	50.4%	99%▲0.9
42	Wyatt JohnstonFDAL	DAL	14.88	1,552	11.06	57.4%	50.6%	50.2%	100%▲0.8
43	William CarrierFCAR	CAR	14.87	504	10.23	59.2%	55.1%	50.2%	0.1%
44	Nikolaj EhlersFWPG	WPG	14.86	1,090	9.41	61.2%	53.2%	50.1%	93%▲7.9
45	Seth JarvisFCAR	CAR	14.86	1,413	9.89	60.0%	55.2%	50.2%	95%▲1.5
46	Jamie BennFDAL	DAL	14.80	1,224	11.47	56.3%	50.6%	50.0%	22%▲18
47	Thomas HarleyDDAL	DAL	14.74	1,824	10.79	57.7%	50.4%	50.1%	88%▲8.9
48	Dmitri VoronkovFCBJ	CBJ	14.74	1,225	11.51	56.2%	49.0%	50.2%	19%▲17
49	Roope HintzFDAL	DAL	14.72	1,284	11.36	56.5%	51.2%	50.3%	85%▲7.6
50	Connor McMichaelFWSH	WSH	14.71	1,378	10.71	57.9%	51.1%	50.3%	34%▲27
51	Mikko RantanenFCOL/DAL/CAR	COL/DAL/CAR	14.70	1,742	10.33	58.7%	54.0%	50.2%	99%▲0.7
52	Brandon HagelFTBL	TBL	14.67	1,701	8.39	63.6%	53.7%	50.2%	100%▲1.9
53	Adam BoqvistDNYI/FLA	NYI/FLA	14.62	493	11.21	56.6%	52.1%	49.8%	0.0%
54	Jackson BlakeFCAR	CAR	14.52	1,108	7.85	64.9%	55.1%	49.6%	68%▲21
55	Erik KarlssonDPIT	PIT	14.45	1,905	11.78	55.1%	48.6%	50.2%	95%
56	Mackie SamoskevichFFLA	FLA	14.45	959	8.69	62.4%	53.7%	49.6%	—
57	Evgeni MalkinFPIT	PIT	14.44	1,209	11.56	55.5%	48.8%	50.2%	82%▲10
58	Bo HorvatFNYI	NYI	14.43	1,634	11.16	56.4%	50.7%	50.2%	91%▲1.7
59	Pierre-Luc DuboisFWSH	WSH	14.42	1,419	9.43	60.5%	51.1%	50.3%	41%▲32
60	Josh MorrisseyDWPG	WPG	14.42	1,951	9.22	61.0%	52.6%	50.0%	99%▲3.3
61	Anthony DuclairFNYI	NYI	14.41	662	10.61	57.6%	51.1%	50.7%	3.3%▲3
62	Miro HeiskanenDDAL	DAL	14.40	1,258	10.30	58.3%	50.9%	50.2%	100%▲4.5
63	Mark ScheifeleFWPG	WPG	14.36	1,676	9.77	59.5%	52.4%	50.2%	100%
64	David PastrnakFBOS	BOS	14.28	1,655	9.71	59.5%	49.7%	50.4%	100%▲1.2
65	Logan StankovenFDAL/CAR	DAL/CAR	14.27	1,177	10.55	57.5%	51.7%	49.6%	67%▲42
66	Gabriel VilardiFWPG	WPG	14.21	1,288	9.32	60.4%	52.3%	50.2%	80%▲7.7
67	Tommy NovakFNSH/PIT	NSH/PIT	14.19	714	10.92	56.5%	49.9%	49.6%	11%▲9.1
68	Ryan Nugent-HopkinsFEDM	EDM	14.19	1,480	9.89	58.9%	55.3%	50.0%	77%▲15
69	Max PaciorettyFTOR	TOR	14.18	499	11.89	54.4%	51.1%	49.4%	—
70	Matt BoldyFMIN	MIN	14.17	1,664	8.40	62.8%	49.5%	50.4%	100%
71	Philip TomasinoFPIT/NSH	PIT/NSH	14.15	797	9.86	58.9%	48.3%	50.2%	—
72	Martin NecasFCAR/COL	CAR/COL	14.15	1,501	9.75	59.2%	55.0%	50.0%	100%▲1.3
73	Mats ZuccarelloFMIN	MIN	14.11	1,356	8.23	63.2%	49.8%	50.3%	50%▲28
74	Dylan StromeFWSH	WSH	14.10	1,425	10.35	57.7%	50.3%	50.2%	82%▲10
75	Marco RossiFMIN	MIN	14.08	1,496	8.94	61.1%	49.7%	50.3%	58%▲12
76	Artemi PanarinFNYR	NYR	14.06	1,575	10.29	57.7%	48.1%	50.4%	98%▼1.2
77	Pavel DorofeyevFVGK	VGK	14.04	1,355	8.50	62.3%	53.3%	49.8%	92%▲1.7
78	Jason ZuckerFBUF	BUF	14.03	1,168	10.28	57.7%	48.8%	50.1%	23%▲18
79	Quinn HughesDVAN	VAN	13.96	1,750	9.19	60.3%	50.1%	50.0%	100%
80	Barrett HaytonFUTA	UTA	13.95	1,320	9.63	59.2%	52.9%	49.8%	11%▲11
81	Adam FoxDNYR	NYR	13.95	1,720	11.40	55.0%	47.6%	50.2%	99%▲6.5
82	Aaron EkbladDFLA	FLA	13.94	1,317	11.98	53.8%	55.2%	50.5%	50%▲34
83	Clayton KellerFUTA	UTA	13.87	1,549	8.68	61.5%	52.8%	50.0%	100%▲2
84	Lucas RaymondFDET	DET	13.87	1,540	9.47	59.4%	48.7%	50.6%	96%▲10
85	Victor HedmanDTBL	TBL	13.85	1,823	9.48	59.4%	52.7%	50.0%	93%▲11
86	Brandt ClarkeDLAK	LAK	13.85	1,270	8.65	61.6%	53.3%	49.3%	96%▲11
87	Filip ForsbergFNSH	NSH	13.79	1,527	9.98	58.0%	49.5%	50.3%	99%▲1.4
88	Kyle ConnorFWPG	WPG	13.78	1,672	10.12	57.7%	52.3%	50.3%	99%▲1
89	Tage ThompsonFBUF	BUF	13.76	1,425	9.22	59.9%	49.1%	50.5%	100%▲1.1
90	Anthony CirelliFTBL	TBL	13.76	1,495	9.23	59.9%	53.8%	50.2%	51%▲19
91	Kirill KaprizovFMIN	MIN	13.74	921	8.21	62.6%	49.7%	49.9%	98%▼0.8
92	Andrei SvechnikovFCAR	CAR	13.73	1,232	10.71	56.2%	55.0%	50.0%	97%▲8.5
93	Brendan GallagherFMTL	MTL	13.73	1,141	9.52	59.0%	47.6%	49.9%	3.3%▲2.8
94	Kent JohnsonFCBJ	CBJ	13.72	1,176	10.51	56.6%	47.4%	50.4%	30%▲27
95	Noah DobsonDNYI	NYI	13.69	1,652	9.19	59.8%	49.8%	49.8%	97%▼1.3
96	Tom WilsonFWSH	WSH	13.69	1,517	9.89	58.1%	51.2%	50.3%	95%▲6.5
97	Brad MarchandFBOS/FLA	BOS/FLA	13.65	1,301	10.75	56.0%	49.9%	50.5%	73%▲0.9
98	Nick SchmaltzFUTA	UTA	13.62	1,524	9.29	59.5%	53.1%	50.0%	94%▲4.7
99	Quinton ByfieldFLAK	LAK	13.60	1,509	9.07	60.0%	54.8%	49.8%	86%▲18
100	Mattias EkholmDEDM	EDM	13.60	1,443	10.94	55.4%	56.4%	50.1%	77%▲9.7

Minimum sample: 492 min (it scales with games played and sequence coverage). 307 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?

Related leaderboards