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Transition Attempts per 60 Leaders

Name: Transition Attempts per 60 Leaders (2025-26)
Creator: Edgehalla

2025-26All situationsThrough 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 2025-26: Cutter Gauthier (ANA), 3.07 TRN/60.

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

Strength5-on-5 All situations

619 qualified

Show

Transition Attempts per 60 Leaders, 2025-26, All situations
#	Player	Team
1	Cutter GauthierFANA	ANA	3.07	1,311	67	0.19	50.8%	49.9%	98%▲1
2	Trevor MooreFLAK	LAK	2.65	1,154	51	0.11	51.2%	49.8%	9.1%
3	Michael EyssimontFBOS	BOS	2.55	611	26	0.07	49.0%	50.6%	0.1%
4	Cole KoepkeFWPG	WPG	2.52	690	29	0.07	47.6%	49.5%	0.0%
5	Viktor ArvidssonFBOS	BOS	2.44	1,007	41	0.18	48.7%	50.4%	32%▲23
6	Ross ColtonFCOL	COL	2.43	914	37	0.11	56.8%	49.6%	8.1%▲7.8
7	Owen TippettFPHI	PHI	2.37	1,364	54	0.14	52.3%	50.1%	78%▼6.7
8	Brady TkachukFOTT	OTT	2.36	1,018	40	0.29	55.5%	50.1%	100%▲2.2
9	Egor ChinakhovFPIT/CBJ	PIT/CBJ	2.35	971	38	0.20	50.8%	50.3%	48%▲39
10	Bobby McMannFTOR/SEA	TOR/SEA	2.32	1,243	48	0.17	46.3%	50.5%	45%▲2
11	Connor DewarFPIT	PIT	2.21	1,086	40	0.30	50.8%	50.1%	4.2%▲3.1
12	Matt CoronatoFCGY	CGY	2.12	1,332	47	0.11	47.1%	50.2%	40%▲6.7
13	Brandon HagelFTBL	TBL	2.01	1,403	47	0.27	54.8%	50.0%	100%▲1.9
14	Jack EichelFVGK	VGK	1.99	1,569	52	0.11	55.7%	49.7%	99%▲1.4
15	Ryan LombergFCGY	CGY	1.98	516	17	0.08	46.3%	49.2%	0.1%
16	Auston MatthewsFTOR	TOR	1.97	1,248	41	0.21	45.7%	50.6%	99%
17	Lawson CrouseFUTA	UTA	1.96	1,344	44	0.11	53.2%	50.0%	36%▲13
18	Eric RobinsonFCAR	CAR	1.96	766	25	0.10	55.7%	49.1%	3.2%▲3.1
19	Mikael BacklundFCGY	CGY	1.96	1,472	48	0.11	47.6%	50.4%	14%▲9.3
20	Dylan GuentherFUTA	UTA	1.92	1,374	44	0.13	53.2%	49.8%	99%▲2
21	Tanner JeannotFBOS	BOS	1.91	974	31	0.13	48.6%	50.0%	6.5%▲6.1
22	Jordan MartinookFCAR	CAR	1.89	1,142	36	0.15	55.0%	49.9%	4.3%▲2.7
23	Connor McDavidFEDM	EDM	1.88	1,885	59	0.15	53.3%	50.0%	100%▲1.5
24	Sean KuralyFBOS	BOS	1.87	1,093	34	0.07	48.6%	49.9%	0.1%
25	Roope HintzFDAL	DAL	1.83	919	28	0.16	53.0%	50.1%	85%▲7.6
26	Shane PintoFOTT	OTT	1.83	1,347	41	0.16	55.0%	50.4%	37%▲22
27	Morgan BarronFWPG	WPG	1.80	832	25	0.20	47.5%	50.1%	4.8%▲4.7
28	Jeffrey VielFANA/BOS	ANA/BOS	1.79	537	16	0.04	49.8%	49.1%	4.0%▲3.9
29	Boone JennerFCBJ	CBJ	1.78	1,077	32	0.13	50.9%	50.3%	21%▲16
30	Timo MeierFNJD	NJD	1.77	1,426	42	0.08	50.3%	50.1%	82%▼8
31	Artturi LehkonenFCOL	COL	1.76	1,294	38	0.11	57.7%	49.7%	54%▲37
32	Alex TuchFBUF	BUF	1.76	1,501	44	0.17	51.0%	50.3%	94%▼5
33	Blake ColemanFCGY	CGY	1.76	1,196	35	0.09	47.3%	50.5%	38%▼25
34	Jimmy SnuggerudFSTL	STL	1.75	1,169	34	0.11	51.3%	50.0%	80%▲47
35	Brandon SaadFVGK	VGK	1.74	656	19	0.14	53.8%	49.7%	—
36	Aliaksei ProtasFWSH	WSH	1.73	1,386	40	0.12	50.7%	50.2%	59%▲33
37	Adrian KempeFLAK	LAK	1.73	1,564	45	0.11	51.6%	50.0%	98%
38	Liam OhgrenFVAN/MIN	VAN/MIN	1.72	909	26	0.09	44.2%	50.2%	17%▲17
39	William NylanderFTOR	TOR	1.71	1,262	36	0.13	46.6%	50.3%	99%▼0.9
40	Matvei GridinFCGY	CGY	1.71	561	16	0.09	47.0%	50.3%	40%▲38
41	Ilya MikheyevFCHI	CHI	1.70	1,342	38	0.16	44.2%	50.4%	8.4%▲6.8
42	Dylan LarkinFDET	DET	1.69	1,494	42	0.16	48.5%	50.6%	96%
43	Jack QuinnFBUF	BUF	1.68	1,284	36	0.11	50.9%	50.0%	45%▲29
44	Will SmithFSJS	SJS	1.67	1,255	35	0.11	47.8%	50.0%	95%▲23
45	Filip ForsbergFNSH	NSH	1.67	1,549	43	0.08	48.1%	50.2%	99%▲1.4
46	Josh AndersonFMTL	MTL	1.66	1,010	28	0.21	49.3%	50.3%	10%▲9.2
47	Troy TerryFANA	ANA	1.66	1,119	31	0.06	51.4%	49.7%	47%▲34
48	David PastrnakFBOS	BOS	1.66	1,590	44	0.11	48.7%	50.4%	100%▲1.2
49	Jean-Gabriel PageauFNYI	NYI	1.66	1,159	32	0.07	48.1%	50.1%	12%▲11
50	Seth JarvisFCAR	CAR	1.66	1,340	37	0.27	55.0%	50.1%	95%▲1.5
51	Blake LizotteFPIT	PIT	1.65	763	21	0.15	50.9%	49.5%	0.1%
52	Kiefer SherwoodFVAN/SJS	VAN/SJS	1.64	1,243	34	0.11	45.3%	49.6%	60%▲7
53	Alex LaferriereFLAK	LAK	1.64	1,502	41	0.10	51.4%	50.0%	68%▲3.5
54	Alex SteevesFBOS	BOS	1.64	513	14	0.15	48.8%	49.6%	5.6%▲5.5
55	Alexandre TexierFMTL/STL	MTL/STL	1.64	696	19	0.06	50.0%	50.6%	4.9%▲4.3
56	Scott LaughtonFTOR/LAK	TOR/LAK	1.63	919	25	0.13	47.3%	49.7%	5.6%▲5.5
57	Michael BuntingFNSH/DAL	NSH/DAL	1.63	1,069	29	0.05	48.1%	50.2%	4.5%▲1.8
58	Brad MarchandFFLA	FLA	1.63	922	25	0.15	51.1%	50.5%	73%▲0.9
59	Connor BedardFCHI	CHI	1.63	1,440	39	0.20	44.1%	50.2%	98%▲3.2
60	Mark KastelicFBOS	BOS	1.62	1,035	28	0.11	49.1%	49.9%	13%▲12
61	Nick BjugstadFSTL/NJD	STL/NJD	1.62	667	18	0.07	48.3%	49.7%	0.1%
62	Jackson BlakeFCAR	CAR	1.62	1,336	36	0.13	56.0%	49.6%	68%▲21
63	Jared McCannFSEA	SEA	1.61	855	23	0.11	46.6%	50.1%	71%▲0.9
64	Kasperi KapanenFEDM	EDM	1.60	598	16	0.06	50.4%	49.5%	7.5%▲7.2
65	Jack RoslovicFEDM	EDM	1.60	1,088	29	0.10	50.7%	50.0%	34%▲26
66	Lucas RaymondFDET	DET	1.60	1,504	40	0.14	48.3%	50.4%	96%▲10
67	Max ShabanovFNYI	NYI	1.59	602	16	0.08	47.5%	50.3%	26%▲25
68	Ryan DonatoFCHI	CHI	1.59	1,208	32	0.06	44.0%	50.2%	9.9%▲4.3
69	Adam KlapkaFCGY	CGY	1.57	840	22	0.06	46.5%	49.8%	8.9%▲8.4
70	Jason DickinsonFCHI/EDM	CHI/EDM	1.57	994	26	0.10	45.0%	51.0%	3.2%▲3
71	Steven LorentzFTOR	TOR	1.57	842	22	0.17	44.9%	50.1%	0.0%
72	Mackie SamoskevichFFLA	FLA	1.56	1,114	29	0.07	50.9%	49.9%	—
73	Dylan HollowayFSTL	STL	1.56	1,077	28	0.12	51.1%	49.3%	95%▲9.2
74	Arseny GritsyukFNJD	NJD	1.56	1,002	26	0.08	49.0%	50.2%	22%▲21
75	Drew O'ConnorFVAN	VAN	1.55	1,196	31	0.07	43.8%	50.2%	5.9%▲4.5
76	Nathan MacKinnonFCOL	COL	1.55	1,781	46	0.15	57.3%	49.8%	100%▲0.8
77	Ryan WintertonFSEA	SEA	1.55	815	21	0.07	46.3%	49.9%	4.0%▲3.9
78	Kirby DachFMTL	MTL	1.54	505	13	0.05	50.4%	49.9%	12%▲11
79	Nikolaj EhlersFCAR	CAR	1.54	1,361	35	0.11	55.2%	49.9%	93%▲7.9
80	Warren FoegeleFLAK/OTT	LAK/OTT	1.54	937	24	0.09	51.8%	50.2%	4.0%▲3.9
81	Sean CouturierFPHI	PHI	1.52	1,299	33	0.07	51.7%	50.2%	9.2%▲7.2
82	Jack HughesFNJD	NJD	1.52	1,300	33	0.16	49.9%	49.8%	100%
83	Quinton ByfieldFLAK	LAK	1.52	1,582	40	0.07	51.4%	49.9%	86%▲18
84	Nazem KadriFCGY/COL	CGY/COL	1.51	1,466	37	0.05	48.6%	49.6%	70%▼9.7
85	Mason McTavishFANA	ANA	1.51	1,149	29	0.07	50.5%	49.7%	51%▲36
86	Beckett SenneckeFANA	ANA	1.51	1,431	36	0.12	50.4%	49.8%	93%▲13
87	Carl GrundstromFPHI	PHI	1.51	557	14	0.07	51.1%	49.9%	0.1%
88	Carter VerhaegheFFLA	FLA	1.50	1,356	34	0.09	51.1%	50.4%	73%▲1
89	Marco KasperFDET	DET	1.50	1,117	28	0.11	47.7%	50.2%	28%▲27
90	Jordan EberleFSEA	SEA	1.50	1,478	37	0.13	46.7%	50.1%	30%▲2.6
91	Landon SlaggertFCHI	CHI	1.50	559	14	0.12	44.1%	49.9%	0.0%
92	Ryan LeonardFWSH	WSH	1.50	1,081	27	0.09	50.1%	50.0%	66%▲42
93	Matvei MichkovFPHI	PHI	1.50	1,202	30	0.14	52.2%	49.9%	86%▲23
94	Jason RobertsonFDAL	DAL	1.48	1,661	41	0.16	52.6%	50.0%	100%▲0.5
95	Andrei SvechnikovFCAR	CAR	1.48	1,342	33	0.12	55.3%	50.1%	97%▲8.5
96	Mason MarchmentFCBJ/SEA	CBJ/SEA	1.47	1,181	29	0.20	49.0%	49.8%	47%▲34
97	Joel FarabeeFCGY	CGY	1.47	1,387	34	0.11	47.3%	50.2%	11%▲6.4
98	Travis KonecnyFPHI	PHI	1.47	1,470	36	0.18	51.9%	50.3%	92%▲9.9
99	Patrick KaneFDET	DET	1.47	1,186	29	0.07	49.1%	50.3%	80%▲0.9
100	Cole CaufieldFMTL	MTL	1.47	1,473	36	0.09	51.0%	50.5%	100%▲0.9

Minimum sample: 492 min (it scales with games played and sequence coverage). 320 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 →

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Transition attempts/60 leaderboard

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