NHL EDGE leaders

Offensive Zone Time % Leaders (NHL EDGE)

Name: Offensive Zone Time % Leaders (NHL EDGE) (2024-25)
Creator: Edgehalla

2024-25All situationsThrough 85 team games

Where is the puck while a player is on the ice? NHL EDGE splits every skater's ice time into offensive, neutral and defensive zone time. Offensive-zone share is a territorial cousin of CF%: players who tilt the ice spend more of their shifts attacking.

Deployment matters: players who start most shifts in the offensive zone get a head start, so the OZ starts column is shown beside it.

Leader in 2024-25: Shayne Gostisbehere (CAR), 51.3% OZ %.

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

720 qualified

Show

Offensive Zone Time % Leaders (NHL EDGE), 2024-25, All situations
#	Player	Team	OZ %	GP	NZ %	DZ %
1	Shayne GostisbehereDCAR	CAR	51.3%	70	17.9%	30.7%	38.8%	54.9%	49.2%	96%▲16
2	Sebastian AhoFCAR	CAR	50.2%	79	17.4%	32.4%	45.2%	55.2%	50.4%	99%▲0.9
3	Jackson BlakeFCAR	CAR	49.6%	80	18.0%	32.5%	40.0%	55.1%	49.6%	68%▲21
4	Connor McDavidFEDM	EDM	49.3%	67	17.1%	33.6%	46.1%	56.4%	50.2%	100%▲1.5
5	Andrei SvechnikovFCAR	CAR	49.2%	72	17.8%	33.0%	39.6%	55.0%	50.0%	97%▲8.5
6	Evan BouchardDEDM	EDM	49.1%	82	17.2%	33.7%	43.1%	56.1%	49.9%	100%
7	Seth JarvisFCAR	CAR	49.1%	73	17.5%	33.4%	38.7%	55.2%	50.2%	95%▲1.5
8	Zach HymanFEDM	EDM	48.8%	73	16.9%	34.2%	44.8%	55.9%	50.0%	98%▼1.4
9	Martin NecasFCOL	COL	48.2%	79	17.7%	34.1%	40.4%	55.0%	50.0%	100%▲1.3
10	Jonathan DrouinFCOL	COL	48.1%	43	17.4%	34.4%	42.4%	53.7%	50.4%	0.5%
11	Sean WalkerDCAR	CAR	48.0%	82	18.4%	33.5%	38.4%	55.3%	49.5%	60%▼11
12	Aleksander BarkovFFLA	FLA	48.0%	67	16.5%	35.6%	38.4%	55.4%	50.5%	97%▲7.2
13	Nathan MacKinnonFCOL	COL	48.0%	79	17.8%	34.3%	45.0%	54.5%	50.2%	100%▲0.8
14	Leon DraisaitlFEDM	EDM	48.0%	71	17.4%	34.6%	43.2%	55.2%	50.1%	100%
15	Carter VerhaegheFFLA	FLA	47.7%	81	17.4%	34.9%	36.7%	54.9%	50.2%	73%▲1
16	Tim StützleFOTT	OTT	47.6%	82	17.1%	35.3%	45.5%	50.0%	50.0%	100%▲0.8
17	Matthew TkachukFFLA	FLA	47.5%	52	17.5%	35.0%	37.1%	54.7%	50.2%	100%▲2.7
18	Quinn HughesDVAN	VAN	47.2%	68	17.0%	35.8%	41.8%	50.1%	50.0%	100%
19	Sam ReinhartFFLA	FLA	47.1%	79	16.7%	36.2%	38.2%	55.2%	50.5%	99%
20	Roman JosiDNSH	NSH	47.0%	53	18.0%	35.0%	49.0%	49.6%	50.1%	98%
21	Tyson JostFCAR	CAR	47.0%	39	18.6%	34.5%	39.5%	55.2%	49.2%	0.0%
22	Mike ReillyDNYI	NYI	46.8%	18	17.5%	35.7%	43.2%	49.7%	49.2%	0.1%
23	Jack RoslovicFCAR	CAR	46.8%	81	18.1%	35.1%	38.0%	55.1%	49.8%	34%▲26
24	William CarrierFCAR	CAR	46.8%	43	19.0%	34.3%	33.1%	55.1%	50.2%	0.1%
25	Mackie SamoskevichFFLA	FLA	46.8%	72	17.6%	35.6%	39.5%	53.7%	49.6%	—
26	Nate SchmidtDFLA	FLA	46.7%	80	17.8%	35.5%	37.5%	54.1%	49.4%	4.9%▲4.5
27	Artemi PanarinFNYR	NYR	46.6%	80	17.3%	36.1%	42.9%	48.1%	50.4%	98%▼1.2
28	Adam FoxDNYR	NYR	46.6%	74	17.0%	36.4%	44.9%	47.6%	50.2%	99%▲6.5
29	Ryan O'ReillyFNSH	NSH	46.5%	79	18.4%	35.1%	36.9%	49.7%	50.4%	84%▲5.1
30	Mikko RantanenFDAL	DAL	46.5%	82	18.0%	35.4%	42.0%	54.0%	50.2%	99%▲0.7
31	Shea TheodoreDVGK	VGK	46.4%	67	18.4%	35.2%	39.4%	53.9%	50.0%	91%▲28
32	Jesperi KotkaniemiFCAR	CAR	46.4%	78	18.7%	34.9%	36.2%	54.6%	49.6%	3.2%▲3.1
33	Mattias EkholmDEDM	EDM	46.3%	65	17.1%	36.7%	42.1%	56.4%	50.1%	77%▲9.7
34	Clayton KellerFUTA	UTA	46.2%	81	18.3%	35.5%	41.7%	52.8%	50.0%	100%▲2
35	Michael BuntingFNSH	NSH	46.2%	76	17.7%	36.2%	36.4%	48.5%	50.3%	4.5%▲1.8
36	Brent BurnsDCAR	CAR	46.1%	82	18.3%	35.5%	38.3%	55.1%	50.2%	50%▼14
37	Tommy NovakFPIT	PIT	46.1%	54	18.6%	35.3%	39.2%	49.9%	49.6%	11%▲9.1
38	Nick SchmaltzFUTA	UTA	46.1%	82	17.8%	36.1%	40.3%	53.1%	50.0%	94%▲4.7
39	Brady TkachukFOTT	OTT	46.1%	72	17.7%	36.2%	33.6%	50.0%	50.2%	100%▲2.2
40	Zack MacEwenFOTT	OTT	46.0%	21	17.8%	36.2%	41.7%	49.5%	49.9%	0.1%
41	Jalen ChatfieldDCAR	CAR	46.0%	79	18.1%	35.9%	34.1%	55.1%	50.0%	4.1%▲3.4
42	Mathew BarzalFNYI	NYI	45.9%	30	17.5%	36.6%	36.7%	50.9%	50.5%	83%▲10
43	Sidney CrosbyFPIT	PIT	45.9%	80	17.6%	36.5%	40.8%	48.5%	50.6%	100%▲2.4
44	Steven StamkosFNSH	NSH	45.9%	82	18.3%	35.8%	44.7%	49.7%	50.0%	94%▼3.7
45	Luke EvangelistaFNSH	NSH	45.9%	68	18.7%	35.4%	36.9%	50.0%	50.2%	70%▲23
46	Andrei KuzmenkoFLAK	LAK	45.8%	66	18.1%	36.1%	40.8%	49.9%	50.1%	11%▲9.8
47	Tomas HertlFVGK	VGK	45.8%	73	17.6%	36.6%	42.8%	53.5%	49.8%	83%▲2.9
48	Dougie HamiltonDNJD	NJD	45.8%	64	18.1%	36.1%	40.9%	52.2%	50.3%	84%▲12
49	Josh MorrisseyDWPG	WPG	45.8%	80	17.4%	36.9%	44.1%	52.6%	50.0%	99%▲3.3
50	Tyler ToffoliFSJS	SJS	45.8%	78	17.3%	37.0%	34.0%	44.8%	50.3%	38%▼17
51	Jonathan MarchessaultFNSH	NSH	45.8%	78	18.2%	36.0%	43.7%	49.4%	50.1%	24%▼21
52	Kevin HayesFPIT	PIT	45.7%	64	17.2%	37.0%	31.6%	47.8%	49.6%	0.0%
53	Nikita KucherovFTBL	TBL	45.7%	78	18.2%	36.1%	42.0%	53.6%	50.2%	100%
54	Adam BoqvistDNYI	NYI	45.7%	35	17.1%	37.1%	40.8%	52.1%	49.8%	0.0%
55	David PastrnakFBOS	BOS	45.7%	82	18.1%	36.2%	49.0%	49.7%	50.4%	100%▲1.2
56	Uvis BalinskisDFLA	FLA	45.7%	76	18.0%	36.3%	38.2%	54.4%	49.3%	4.0%▲3.9
57	Erik KarlssonDPIT	PIT	45.7%	82	17.6%	36.8%	37.4%	48.6%	50.2%	95%
58	Valeri NichushkinFCOL	COL	45.6%	43	17.5%	36.9%	38.7%	53.2%	50.0%	60%
59	Filip ForsbergFNSH	NSH	45.6%	82	18.8%	35.6%	42.3%	49.5%	50.3%	99%▲1.4
60	Lucas RaymondFDET	DET	45.6%	82	17.2%	37.2%	30.9%	48.7%	50.6%	96%▲10
61	Eric RobinsonFCAR	CAR	45.6%	82	18.8%	35.6%	36.9%	55.2%	49.4%	3.2%▲3.1
62	Cale MakarDCOL	COL	45.5%	80	17.3%	37.2%	43.7%	54.5%	50.2%	100%▲1
63	Sam BennettFFLA	FLA	45.5%	76	17.8%	36.7%	38.0%	54.7%	50.0%	83%▲4
64	Corey PerryFEDM	EDM	45.4%	81	16.7%	37.9%	45.6%	52.8%	49.3%	7.4%▲5.9
65	Victor HedmanDTBL	TBL	45.4%	79	17.8%	36.8%	41.1%	52.7%	50.0%	93%▲11
66	Dmitry OrlovDCAR	CAR	45.3%	76	18.3%	36.4%	34.1%	55.0%	49.9%	35%▲21
67	Rickard RakellFPIT	PIT	45.3%	81	17.9%	36.8%	40.6%	48.6%	50.5%	82%▲9.9
68	Adam GaudetteFOTT	OTT	45.2%	81	17.1%	37.8%	40.9%	48.8%	49.3%	0.1%
69	Brayden PointFTBL	TBL	45.2%	77	18.0%	36.9%	42.3%	53.6%	50.0%	95%▲7.7
70	Jake GuentzelFTBL	TBL	45.2%	80	17.7%	37.1%	41.2%	53.3%	50.2%	100%
71	Nazem KadriFCGY	CGY	45.1%	82	18.3%	36.6%	42.6%	48.4%	50.0%	70%▼9.7
72	Charlie McAvoyDBOS	BOS	45.1%	50	17.6%	37.3%	41.6%	49.0%	50.4%	96%▲6.1
73	Aaron EkbladDFLA	FLA	45.0%	56	16.8%	38.1%	36.2%	55.2%	50.5%	50%▲34
74	Brad MarchandFFLA	FLA	45.0%	71	17.5%	37.4%	34.7%	49.9%	50.5%	73%▲0.9
75	Philip TomasinoFPIT	PIT	45.0%	61	18.2%	36.8%	37.4%	48.3%	50.2%	—
76	Evan RodriguesFFLA	FLA	45.0%	82	17.8%	37.2%	40.7%	54.6%	49.8%	8.3%▲6.5
77	Rasmus DahlinDBUF	BUF	45.0%	73	17.9%	37.1%	37.5%	48.4%	50.0%	100%▲1
78	Conor GarlandFVAN	VAN	45.0%	81	17.1%	38.0%	34.5%	50.0%	49.9%	10%▲7.4
79	Dylan GuentherFUTA	UTA	45.0%	70	17.9%	37.1%	43.7%	52.3%	49.8%	99%▲2
80	Kevin FialaFLAK	LAK	44.9%	81	18.5%	36.6%	35.3%	54.7%	49.8%	67%▼8.4
81	Drake BathersonFOTT	OTT	44.9%	82	17.4%	37.7%	31.9%	49.6%	50.1%	97%▲7.4
82	Lane HutsonDMTL	MTL	44.9%	82	16.9%	38.2%	43.4%	48.0%	50.1%	99%▲3.1
83	Jordan MartinookFCAR	CAR	44.9%	79	18.2%	36.9%	30.5%	55.2%	50.2%	4.3%▲2.7
84	Gabriel VilardiFWPG	WPG	44.9%	71	17.1%	38.0%	45.5%	52.3%	50.2%	80%▲7.7
85	Ryan Nugent-HopkinsFEDM	EDM	44.9%	78	16.6%	38.6%	34.1%	55.3%	50.0%	77%▲15
86	Erik GustafssonDDET	DET	44.8%	60	17.4%	37.8%	38.9%	48.3%	49.2%	3.2%▲3.2
87	Jaccob SlavinDCAR	CAR	44.8%	80	18.6%	36.6%	37.9%	55.0%	50.3%	15%▲3.8
88	Thomas ChabotDOTT	OTT	44.8%	80	17.3%	37.9%	38.1%	49.8%	50.0%	83%▼11
89	Matt BoldyFMIN	MIN	44.8%	82	17.4%	37.8%	30.8%	49.5%	50.4%	100%
90	Stefan NoesenFNJD	NJD	44.8%	78	17.9%	37.3%	30.8%	52.6%	49.9%	0.1%
91	Dylan LarkinFDET	DET	44.8%	82	17.1%	38.1%	30.9%	48.9%	50.6%	96%
92	Evgeni MalkinFPIT	PIT	44.8%	68	18.1%	37.1%	40.0%	48.8%	50.2%	82%▲10
93	Pavel DorofeyevFVGK	VGK	44.8%	82	17.9%	37.3%	42.7%	53.3%	49.8%	92%▲1.7
94	Jack HughesFNJD	NJD	44.7%	62	18.3%	37.0%	46.6%	52.9%	50.5%	100%
95	Kirill KaprizovFMIN	MIN	44.7%	41	17.9%	37.4%	42.0%	49.7%	49.9%	98%▼0.8
96	Juha JaaskaFCAR	CAR	44.7%	18	19.3%	36.0%	41.1%	54.8%	48.8%	0.0%
97	Darren RaddyshDTBL	TBL	44.7%	73	18.1%	37.2%	44.9%	52.3%	49.6%	100%▲3.5
98	Scott PerunovichDNYI	NYI	44.7%	35	17.5%	37.9%	43.3%	50.5%	50.1%	0.0%
99	Nikolaj EhlersFWPG	WPG	44.7%	69	17.6%	37.7%	45.2%	53.2%	50.1%	93%▲7.9
100	Brandt ClarkeDLAK	LAK	44.6%	78	18.2%	37.2%	38.3%	53.3%	49.3%	96%▲11

Minimum sample: 17 games (it scales with games played). 198 below the minimum are hidden.

Source: NHL EDGE puck and player tracking, refreshed nightly. Speed Signature tiers are Edgehalla's.

How to read it

Percent of on-ice time with the puck in the offensive zone.

How reliable is it?

Stable over a season; compare with CF% and zone starts before calling it a skill.

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