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Transition Attempts per 60 Leaders

Name: Transition Attempts per 60 Leaders (2023-24)
Creator: Edgehalla

2023-245-on-5Through 82 team games

The classic "rush attempt" rule (a shot within 4 seconds of a neutral- or defensive-zone event) flags under 2% of attempts on today's play-by-play. Our transition definition follows the possession chain instead: the chain has to start with a turnover, recovery, hit-forced recovery or faceoff win outside the offensive zone, and the shot has to come within 10 seconds in the same play.

That catches about 8% of 5-on-5 attempts and 9% of expected goals. This board ranks the players who personally take those shots most often, per 60 minutes.

Leader in 2023-24: Owen Tippett (PHI), 4.38 TRN/60.

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

Strength5-on-5 All situations

596 qualified

Show

Transition Attempts per 60 Leaders, 2023-24, 5-on-5
#	Player	Team
1	Owen TippettFPHI	PHI	4.38	1,014	74	0.18	78%▼6.7
2	Daniel SprongFDET	DET	2.91	762	37	0.11	—
3	Michael EyssimontFTBL	TBL	2.82	916	43	0.10	0.1%
4	Noah GregorFTOR	TOR	2.74	634	29	0.10	0.0%
5	Tyler ToffoliFNJD/WPG	NJD/WPG	2.68	1,030	46	0.14	38%▼17
6	Nathan MacKinnonFCOL	COL	2.64	1,388	61	0.13	100%▲0.8
7	Ross ColtonFCOL	COL	2.63	936	41	0.21	8.1%▲7.8
8	Miles WoodFCOL	COL	2.62	894	39	0.15	0.1%
9	Brady TkachukFOTT	OTT	2.58	1,185	51	0.08	100%▲2.2
10	Jack EichelFVGK	VGK	2.55	848	36	0.09	99%▲1.4
11	Carl GrundstromFLAK	LAK	2.53	521	22	0.07	0.1%
12	Travis KonecnyFPHI	PHI	2.44	1,080	44	0.08	92%▲9.9
13	David PastrnakFBOS	BOS	2.43	1,208	49	0.10	100%▲1.2
14	Nazem KadriFCGY	CGY	2.43	1,160	47	0.10	70%▼9.7
15	Jason ZuckerFARI/NSH	ARI/NSH	2.42	817	33	0.06	23%▲18
16	Connor BedardFCHI	CHI	2.41	1,046	42	0.12	98%▲3.2
17	Bobby McMannFTOR	TOR	2.37	582	23	0.10	45%▲2
18	Martin PospisilFCGY	CGY	2.37	759	30	0.07	6.4%▲6.3
19	Warren FoegeleFEDM	EDM	2.37	1,014	40	0.13	4.0%▲3.9
20	Jordan MartinookFCAR	CAR	2.33	1,057	41	0.13	4.3%▲2.7
21	Jordan KyrouFSTL	STL	2.32	1,166	45	0.10	79%▲2.9
22	Filip ForsbergFNSH	NSH	2.29	1,155	44	0.08	99%▲1.4
23	Michael CarconeFARI	ARI	2.22	784	29	0.08	5.0%▲4
24	Conor GarlandFVAN	VAN	2.21	1,004	37	0.08	10%▲7.4
25	Joel FarabeeFPHI	PHI	2.20	1,092	40	0.11	11%▲6.4
26	Emil BemstromFCBJ/PIT	CBJ/PIT	2.20	546	20	0.09	—
27	Jack HughesFNJD	NJD	2.15	977	35	0.13	100%
28	Adam FantilliFCBJ	CBJ	2.15	615	22	0.05	92%▲9.9
29	Jared McCannFSEA	SEA	2.14	951	34	0.04	71%▲0.9
30	Joel ArmiaFMTL	MTL	2.14	784	28	0.08	3.3%▲3.1
31	Andrew MangiapaneFCGY	CGY	2.13	1,013	36	0.09	4.0%▲3.9
32	Jake DeBruskFBOS	BOS	2.13	1,016	36	0.10	49%▼20
33	Max DomiFTOR	TOR	2.11	968	34	0.07	5.8%▲4.6
34	Kiefer SherwoodFNSH	NSH	2.10	773	27	0.08	60%▲7
35	Kevin HayesFSTL	STL	2.08	979	34	0.11	0.0%
36	Nikolaj EhlersFWPG	WPG	2.07	1,075	37	0.09	93%▲7.9
37	Kirill MarchenkoFCBJ	CBJ	2.06	1,020	35	0.10	98%▲7
38	Timo MeierFNJD	NJD	2.06	991	34	0.08	82%▼8
39	Bo HorvatFNYI	NYI	2.05	1,202	41	0.11	91%▲1.7
40	Sam ReinhartFFLA	FLA	2.03	1,063	36	0.06	99%
41	Egor ChinakhovFCBJ	CBJ	2.03	651	22	0.07	48%▲39
42	Blake ColemanFCGY	CGY	2.03	1,095	37	0.06	38%▼25
43	Nino NiederreiterFWPG	WPG	2.02	982	33	0.04	4.0%▲3.8
44	Tage ThompsonFBUF	BUF	2.01	954	32	0.07	100%▲1.1
45	Alexander HoltzFNJD	NJD	2.01	836	28	0.12	4.0%▲4
46	Evander KaneFEDM	EDM	2.00	1,109	37	0.09	5.7%▲0.9
47	Colin BlackwellFCHI	CHI	1.99	542	18	0.12	0.1%
48	Garnet HathawayFPHI	PHI	1.99	875	29	0.12	4.8%▲4.6
49	Trevor MooreFLAK	LAK	1.99	1,116	37	0.09	9.1%
50	Mikael BacklundFCGY	CGY	1.99	1,147	38	0.09	14%▲9.3
51	Auston MatthewsFTOR	TOR	1.98	1,241	41	0.12	99%
52	Jesper BrattFNJD	NJD	1.97	1,125	37	0.07	96%▲11
53	Andre BurakovskyFSEA	SEA	1.97	578	19	0.06	5.6%▲5.4
54	Chris KreiderFNYR	NYR	1.97	1,035	34	0.06	62%▲29
55	Carter VerhaegheFFLA	FLA	1.97	1,037	34	0.07	73%▲1
56	Brett LeasonFANA	ANA	1.95	707	23	0.09	0.0%
57	Nick RobertsonFTOR	TOR	1.95	585	19	0.09	24%▲23
58	Mathew BarzalFNYI	NYI	1.94	1,271	41	0.07	83%▲10
59	Bryan RustFPIT	PIT	1.93	901	29	0.08	86%▲3.2
60	Troy TerryFANA	ANA	1.91	1,098	35	0.08	47%▲34
61	Valtteri PuustinenFPIT	PIT	1.91	533	17	0.06	—
62	Fabian ZetterlundFSJS	SJS	1.91	1,196	38	0.09	13%▲6.6
63	Adrian KempeFLAK	LAK	1.90	1,008	32	0.09	98%
64	William NylanderFTOR	TOR	1.90	1,167	37	0.11	99%▼0.9
65	JJ PeterkaFBUF	BUF	1.90	1,136	36	0.08	75%▲36
66	Matt DucheneFDAL	DAL	1.89	1,078	34	0.11	62%▼17
67	Sean CouturierFPHI	PHI	1.89	983	31	0.05	9.2%▲7.2
68	Max PaciorettyFWSH	WSH	1.89	571	18	0.09	—
69	Nick BjugstadFARI	ARI	1.88	989	31	0.08	0.1%
70	Frank VatranoFANA	ANA	1.88	1,053	33	0.08	6.4%▲6.2
71	Brandon DuhaimeFMIN/COL	MIN/COL	1.88	704	22	0.09	3.2%▲3
72	Ryan HartmanFMIN	MIN	1.87	960	30	0.08	40%▼17
73	Jonny BrodzinskiFNYR	NYR	1.87	577	18	0.06	0.0%
74	Jonathan MarchessaultFVGK	VGK	1.85	1,104	34	0.09	24%▼21
75	Wyatt JohnstonFDAL	DAL	1.84	1,075	33	0.15	100%▲0.8
76	Sidney CrosbyFPIT	PIT	1.83	1,245	38	0.11	100%▲2.4
77	Jordan EberleFSEA	SEA	1.82	1,086	33	0.13	30%▲2.6
78	Cole SillingerFCBJ	CBJ	1.82	989	30	0.03	11%▲9.9
79	Anthony BeauvillierFCHI/VAN/NSH	CHI/VAN/NSH	1.81	728	22	0.12	4.0%▲3.8
80	Tyler MotteFTBL	TBL	1.81	697	21	0.05	—
81	Luke EvangelistaFNSH	NSH	1.77	917	27	0.10	70%▲23
82	Logan CooleyFARI	ARI	1.76	1,056	31	0.05	94%▲9.6
83	Ross JohnstonFANA	ANA	1.76	545	16	0.04	3.2%▲3.1
84	Craig SmithFDAL	DAL	1.76	751	22	0.06	—
85	Joel Eriksson EkFMIN	MIN	1.75	997	29	0.09	82%▲11
86	Vladimir TarasenkoFOTT/FLA	OTT/FLA	1.74	965	28	0.04	10%▲1
87	Nikita KucherovFTBL	TBL	1.74	1,311	38	0.11	100%
88	Brock NelsonFNYI	NYI	1.73	1,142	33	0.10	87%▼4
89	Jeff SkinnerFBUF	BUF	1.70	950	27	0.09	0.1%
90	Jason DickinsonFCHI	CHI	1.70	1,059	30	0.05	3.2%▲3
91	Dylan CozensFBUF	BUF	1.69	993	28	0.08	90%▲3.6
92	Sean KuralyFCBJ	CBJ	1.69	710	20	0.07	0.1%
93	Pavel DorofeyevFVGK	VGK	1.68	571	16	0.06	92%▲1.7
94	Tyler BertuzziFTOR	TOR	1.66	1,118	31	0.07	62%▼3.2
95	Alex DeBrincatFDET	DET	1.66	1,156	32	0.05	100%▲2.6
96	Michael BuntingFCAR/PIT	CAR/PIT	1.66	1,015	28	0.07	4.5%▲1.8
97	Mason McTavishFANA	ANA	1.64	841	23	0.04	51%▲36
98	Dylan LarkinFDET	DET	1.63	956	26	0.10	96%
99	Anton LundellFFLA	FLA	1.63	958	26	0.09	45%▲30
100	Erik HaulaFNJD	NJD	1.63	996	27	0.03	13%▲9.5

Minimum sample: 492 min (it scales with games played and sequence coverage). 321 below the minimum are hidden.

How to read it

Individual attempts per 60. The count column is the raw number of transition shots, so you can see how much the rate rests on.

How reliable is it?

Team-level transition rates are solid; player-level rates are fair. Read them with the count beside them.

How transition attempts are defined →

All NHL leaderboards →

Transition attempts/60 leaderboard

How to read it

How reliable is it?

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