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Transition Attempts per 60 Leaders

Name: Transition Attempts per 60 Leaders (2024-25)
Creator: Edgehalla

2024-255-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 2024-25: Michael Eyssimont (TBL/SEA), 3.05 TRN/60.

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

Strength5-on-5 All situations

595 qualified

Show

Transition Attempts per 60 Leaders, 2024-25, 5-on-5
#	Player	Team
1	Michael EyssimontFTBL/SEA	TBL/SEA	3.05	808	41	0.17	49.9%	49.6%	0.1%
2	Cutter GauthierFANA	ANA	2.96	994	49	0.12	43.7%	50.2%	98%▲1
3	William KarlssonFVGK	VGK	2.88	707	34	0.14	52.9%	49.5%	24%▲20
4	Noah GregorFOTT/SJS	OTT/SJS	2.62	527	23	0.05	47.6%	49.5%	0.0%
5	Owen TippettFPHI	PHI	2.57	1,004	43	0.17	51.1%	49.8%	78%▼6.7
6	Michael CarconeFUTA	UTA	2.48	556	23	0.13	52.0%	49.5%	5.0%▲4
7	Bobby McMannFTOR	TOR	2.44	961	39	0.16	50.9%	50.1%	45%▲2
8	Cole CaufieldFMTL	MTL	2.42	1,142	46	0.16	48.7%	50.5%	100%▲0.9
9	Jordan KyrouFSTL	STL	2.39	1,157	46	0.12	51.3%	50.0%	79%▲2.9
10	Logan StankovenFDAL/CAR	DAL/CAR	2.36	992	39	0.09	51.7%	49.6%	67%▲42
11	Dylan GuentherFUTA	UTA	2.34	871	34	0.07	52.3%	49.8%	99%▲2
12	Ryan DonatoFCHI	CHI	2.31	1,093	42	0.09	43.8%	50.5%	9.9%▲4.3
13	Nazem KadriFCGY	CGY	2.23	1,239	46	0.08	48.4%	50.0%	70%▼9.7
14	Ryan LombergFCGY	CGY	2.21	678	25	0.09	47.0%	49.5%	0.1%
15	Tage ThompsonFBUF	BUF	2.21	1,084	40	0.08	49.1%	50.5%	100%▲1.1
16	Joel Eriksson EkFMIN	MIN	2.21	623	23	0.07	49.4%	50.1%	82%▲11
17	Alex LaferriereFLAK	LAK	2.21	1,086	40	0.11	55.0%	49.8%	68%▲3.5
18	Tyler ToffoliFSJS	SJS	2.21	1,005	37	0.10	44.8%	50.3%	38%▼17
19	Adam FantilliFCBJ	CBJ	2.15	1,203	43	0.11	48.3%	50.1%	92%▲9.9
20	Filip ForsbergFNSH	NSH	2.13	1,156	41	0.07	49.5%	50.3%	99%▲1.4
21	Luke KuninFSJS/CBJ	SJS/CBJ	2.13	903	32	0.10	43.9%	50.2%	0.0%
22	Viktor ArvidssonFEDM	EDM	2.11	880	31	0.09	54.7%	49.6%	32%▲23
23	Jason ZuckerFBUF	BUF	2.11	910	32	0.04	48.8%	50.1%	23%▲18
24	Filip ChytilFNYR/VAN	NYR/VAN	2.10	715	25	0.13	48.2%	49.5%	6.4%▲6.3
25	Jiri KulichFBUF	BUF	2.09	774	27	0.10	49.0%	49.9%	26%▲25
26	Alex DeBrincatFDET	DET	2.09	1,148	40	0.07	48.7%	50.2%	100%▲2.6
27	Kyle PalmieriFNYI	NYI	2.09	1,151	40	0.07	50.5%	50.2%	19%▲10
28	Craig SmithFCHI/DET	CHI/DET	2.05	613	21	0.06	44.1%	49.8%	—
29	Nick RobertsonFTOR	TOR	2.02	743	25	0.08	50.6%	49.5%	24%▲23
30	Jordan EberleFSEA	SEA	2.00	541	18	0.09	47.4%	50.7%	30%▲2.6
31	Frank VatranoFANA	ANA	1.97	1,066	35	0.10	45.8%	50.6%	6.4%▲6.2
32	Bo HorvatFNYI	NYI	1.95	1,198	39	0.11	50.7%	50.2%	91%▲1.7
33	Carl GrundstromFSJS	SJS	1.95	523	17	0.04	42.6%	50.0%	0.1%
34	Zach HymanFEDM	EDM	1.94	1,080	35	0.15	55.9%	50.0%	98%▼1.4
35	Kevin StenlundFUTA	UTA	1.94	926	30	0.10	52.2%	49.8%	0.1%
36	Sam BennettFFLA	FLA	1.94	1,051	34	0.10	54.7%	50.0%	83%▲4
37	Travis KonecnyFPHI	PHI	1.94	1,238	40	0.06	51.6%	50.2%	92%▲9.9
38	Fabian ZetterlundFSJS/OTT	SJS/OTT	1.94	1,147	37	0.13	45.4%	50.2%	13%▲6.6
39	Kirill MarchenkoFCBJ	CBJ	1.93	1,181	38	0.04	49.1%	50.3%	98%▲7
40	Taylor HallFCHI/CAR	CHI/CAR	1.92	998	32	0.04	47.7%	49.7%	28%▲21
41	William NylanderFTOR	TOR	1.91	1,226	39	0.14	51.1%	50.0%	99%▼0.9
42	David PastrnakFBOS	BOS	1.89	1,267	40	0.10	49.7%	50.4%	100%▲1.2
43	Connor McMichaelFWSH	WSH	1.89	1,113	35	0.11	51.1%	50.3%	34%▲27
44	Adrian KempeFLAK	LAK	1.87	1,121	35	0.05	53.6%	50.1%	98%
45	Matt CoronatoFCGY	CGY	1.87	1,090	34	0.09	48.8%	49.9%	40%▲6.7
46	Ryan HartmanFMIN	MIN	1.86	904	28	0.08	48.7%	50.0%	40%▼17
47	Carter VerhaegheFFLA	FLA	1.83	1,148	35	0.11	54.9%	50.2%	73%▲1
48	Seth JarvisFCAR	CAR	1.82	957	29	0.05	55.2%	50.2%	95%▲1.5
49	Nikolaj EhlersFWPG	WPG	1.82	858	26	0.06	53.2%	50.1%	93%▲7.9
50	Macklin CelebriniFSJS	SJS	1.82	1,057	32	0.08	44.8%	50.4%	100%▲0.9
51	Jake DeBruskFVAN	VAN	1.81	1,062	32	0.09	50.1%	50.1%	49%▼20
52	Josh DoanFUTA	UTA	1.80	600	18	0.09	52.6%	49.3%	61%▲44
53	Timo MeierFNJD	NJD	1.79	1,204	36	0.08	52.8%	50.1%	82%▼8
54	Jared McCannFSEA	SEA	1.77	981	29	0.11	47.7%	50.0%	71%▲0.9
55	Mikael BacklundFCGY	CGY	1.77	1,051	31	0.07	49.2%	50.0%	14%▲9.3
56	Brock NelsonFNYI/COL	NYI/COL	1.77	1,154	34	0.10	51.1%	50.0%	87%▼4
57	Anders LeeFNYI	NYI	1.76	1,126	33	0.09	50.8%	50.1%	29%▼20
58	Joel FarabeeFPHI/CGY	PHI/CGY	1.76	1,024	30	0.14	50.4%	50.0%	11%▲6.4
59	Oliver BjorkstrandFSEA/TBL	SEA/TBL	1.74	967	28	0.05	48.1%	49.8%	20%
60	Quinton ByfieldFLAK	LAK	1.74	1,141	33	0.08	54.8%	49.8%	86%▲18
61	Nico HischierFNJD	NJD	1.73	1,073	31	0.10	52.9%	50.3%	98%▲3
62	JJ PeterkaFBUF	BUF	1.73	1,076	31	0.10	49.0%	49.9%	75%▲36
63	Brad MarchandFBOS/FLA	BOS/FLA	1.72	908	26	0.04	49.9%	50.5%	73%▲0.9
64	Connor McDavidFEDM	EDM	1.72	1,153	33	0.15	56.4%	50.2%	100%▲1.5
65	Lucas RaymondFDET	DET	1.71	1,125	32	0.09	48.7%	50.6%	96%▲10
66	Morgan BarronFWPG	WPG	1.71	668	19	0.06	52.5%	49.4%	4.8%▲4.7
67	Brandon HagelFTBL	TBL	1.70	1,232	35	0.09	53.7%	50.2%	100%▲1.9
68	Jack HughesFNJD	NJD	1.70	952	27	0.17	52.9%	50.5%	100%
69	Eeli TolvanenFSEA	SEA	1.70	1,025	29	0.10	47.9%	49.9%	36%▼9.4
70	Warren FoegeleFLAK	LAK	1.69	1,098	31	0.05	54.4%	49.7%	4.0%▲3.9
71	Ross ColtonFCOL	COL	1.68	748	21	0.11	52.2%	49.0%	8.1%▲7.8
72	Frank NazarFCHI	CHI	1.68	678	19	0.11	43.6%	50.8%	54%▲34
73	Zachary Aston-ReeseFCBJ	CBJ	1.68	929	26	0.06	46.7%	50.0%	0.0%
74	Jack EichelFVGK	VGK	1.67	1,149	32	0.09	54.2%	50.1%	99%▲1.4
75	Trevor MooreFLAK	LAK	1.67	935	26	0.06	55.0%	50.1%	9.1%
76	Nikita KucherovFTBL	TBL	1.66	1,263	35	0.09	53.6%	50.2%	100%
77	Kiefer SherwoodFVAN	VAN	1.65	943	26	0.06	49.5%	49.7%	60%▲7
78	Roope HintzFDAL	DAL	1.65	908	25	0.07	51.2%	50.3%	85%▲7.6
79	Brett HowdenFVGK	VGK	1.65	1,055	29	0.11	53.4%	49.7%	15%▲15
80	Nathan MacKinnonFCOL	COL	1.64	1,350	37	0.10	54.5%	50.2%	100%▲0.8
81	Matt BoldyFMIN	MIN	1.63	1,254	34	0.08	49.5%	50.4%	100%
82	Sean CouturierFPHI	PHI	1.61	1,153	31	0.11	51.2%	50.0%	9.2%▲7.2
83	Garnet HathawayFPHI	PHI	1.57	686	18	0.06	51.3%	49.6%	4.8%▲4.6
84	Anton LundellFFLA	FLA	1.57	992	26	0.02	53.6%	49.9%	45%▲30
85	Zachary BolducFSTL	STL	1.57	804	21	0.05	50.4%	49.5%	21%▲19
86	Tanner PearsonFVGK	VGK	1.55	892	23	0.09	52.9%	49.6%	0.0%
87	Connor BrownFEDM	EDM	1.54	976	25	0.08	52.4%	49.6%	6.7%▲5.2
88	Brandon SaadFSTL/VGK	STL/VGK	1.53	942	24	0.13	52.3%	49.7%	—
89	Brayden SchennFSTL	STL	1.52	1,142	29	0.09	51.7%	50.0%	29%▲8.7
90	Brady TkachukFOTT	OTT	1.52	985	25	0.04	50.0%	50.2%	100%▲2.2
91	Matvei MichkovFPHI	PHI	1.52	1,026	26	0.10	51.3%	49.6%	86%▲23
92	Colton SissonsFNSH	NSH	1.52	829	21	0.13	49.2%	49.8%	3.3%▲3.1
93	Josh AndersonFMTL	MTL	1.52	989	25	0.11	48.1%	50.0%	10%▲9.2
94	Cole PerfettiFWPG	WPG	1.51	1,070	27	0.09	53.2%	49.7%	36%▲32
95	Yegor SharangovichFCGY	CGY	1.51	951	24	0.03	48.7%	49.7%	7.8%▲0.9
96	Christian DvorakFMTL	MTL	1.51	990	25	0.12	48.0%	49.9%	16%▲13
97	Cole KoepkeFBOS	BOS	1.51	755	19	0.08	46.8%	49.9%	0.0%
98	Auston MatthewsFTOR	TOR	1.51	954	24	0.09	52.7%	50.4%	99%
99	Mason MarchmentFDAL	DAL	1.49	804	20	0.10	50.1%	49.9%	47%▲34
100	Dylan HollowayFSTL	STL	1.49	1,089	27	0.06	50.8%	49.8%	95%▲9.2

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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How reliable is it?

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