More skater stats

NHL Faceoff Win % Leaders

2023-24All situationsThrough 82 team games

This board ranks centres and wingers by faceoff win percentage, regular season only, with a minimum number of draws that grows through the season.

Faceoff win percentage is draws won divided by draws taken. The best centres win 57 to 60 percent; the league average is 50 by definition. A strong FO% keeps a centre on the ice for key draws, which helps FOW and ice time. The minimum-draws cutoff keeps part-time centres off the top.

Leader in 2023-24: Michael McLeod (NJD), 65.0% FO%.

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

Older seasons

2022-23 2021-22 2020-21 2019-20 2018-19 2017-18

224 qualified

Show

NHL Faceoff Win % Leaders, 2023-24, All situations
#	Player	Team	FO%	Draws	FOW	FOL	GP
1	Michael McLeodFNJD	NJD	65.0%	652	424	228	45	—
2	Jeff CarterFPIT	PIT	62.5%	424	265	159	72	—
3	Jamie BennFDAL	DAL	61.2%	712	436	276	82	22%▲18
4	Nico SturmFSJS	SJS	60.1%	827	497	330	63	0.1%
5	John TavaresFTOR	TOR	59.3%	1,352	802	550	80	96%▲9.3
6	Vincent TrocheckFNYR	NYR	58.7%	1,500	881	619	82	88%▼5.4
7	Robby FabbriFDET	DET	58.3%	120	70	50	68	—
8	Sidney CrosbyFPIT	PIT	58.2%	1,872	1,090	782	82	100%▲2.4
9	Jordan StaalFCAR	CAR	58.1%	1,375	799	576	80	20%▲13
10	Claude GirouxFOTT	OTT	58.0%	1,152	668	484	82	30%▲20
11	Christian DvorakFMTL	MTL	57.8%	341	197	144	30	16%▲13
12	Tomas HertlFSJS/VGK	SJS/VGK	57.5%	983	565	418	54	84%▲3.2
13	Aleksander BarkovFFLA	FLA	57.3%	1,100	630	470	73	97%▲7
14	Chris TierneyFNJD	NJD	57.2%	194	111	83	52	—
15	Jaden SchwartzFSEA	SEA	57.1%	161	92	69	62	11%▲11
16	Kevin HayesFSTL	STL	57.0%	838	478	360	79	0.0%
17	Leon DraisaitlFEDM	EDM	56.9%	1,451	826	625	81	100%
18	Nico HischierFNJD	NJD	56.6%	1,387	785	602	71	97%▲2.3
19	Matt DucheneFDAL	DAL	56.5%	637	360	277	80	62%▼17
20	Elias LindholmFCGY/VAN	CGY/VAN	56.4%	1,336	753	583	75	43%▲4.7
21	J.T. MillerFVAN	VAN	56.3%	1,461	823	638	81	92%▲7.7
22	Tyler SeguinFDAL	DAL	56.3%	608	342	266	68	22%▲19
23	William KarlssonFVGK	VGK	56.2%	973	547	426	70	24%▲20
24	Roope HintzFDAL	DAL	56.2%	566	318	248	80	84%▲7.1
25	Steven StamkosFTBL	TBL	56.0%	637	357	280	79	94%▼4.2
26	Luke GlendeningFTBL	TBL	56.0%	948	531	417	81	0.0%
27	Derek RyanFEDM	EDM	55.7%	409	228	181	70	—
28	Byron FroeseFVGK	VGK	55.7%	106	59	47	16	—
29	Mitchell StephensFMTL	MTL	55.6%	135	75	60	23	—
30	Jean-Gabriel PageauFNYI	NYI	55.4%	1,225	679	546	82	12%▲11
31	Dylan LarkinFDET	DET	55.4%	1,293	716	577	68	96%
32	Jack DruryFCAR	CAR	55.3%	664	367	297	74	5.6%▲5.4
33	Anze KopitarFLAK	LAK	55.1%	1,560	859	701	81	0.5%
34	Anton LundellFFLA	FLA	54.9%	878	482	396	78	46%▲31
35	Sean MonahanFMTL/WPG	MTL/WPG	54.9%	1,272	698	574	83	19%▲13
36	Erik HaulaFNJD	NJD	54.8%	892	489	403	76	12%▲8.7
37	Pavel ZachaFBOS	BOS	54.8%	1,068	585	483	78	78%▲13
38	David GustafssonFWPG	WPG	54.6%	194	106	88	39	0.0%
39	John BeecherFBOS	BOS	54.6%	500	273	227	52	0.1%
40	Noel AcciariFPIT	PIT	54.5%	574	313	261	55	3.3%▲3.1
41	Mark KastelicFOTT	OTT	54.4%	349	190	159	63	13%▲12
42	Radek FaksaFDAL	DAL	54.4%	520	283	237	74	0.1%
43	Nick PaulFTBL	TBL	54.3%	978	531	447	82	8.1%▲7.7
44	Boone JennerFCBJ	CBJ	54.3%	1,113	604	509	58	21%▲16
45	Sebastian AhoFCAR	CAR	54.1%	1,055	571	484	78	99%▲1.2
46	Barclay GoodrowFNYR	NYR	54.0%	624	337	287	80	0.1%
47	Bo HorvatFNYI	NYI	53.9%	1,419	765	654	81	90%▲1.2
48	Ryan O'ReillyFNSH	NSH	53.9%	1,536	828	708	82	84%▲5
49	Brendan GaunceFCBJ	CBJ	53.8%	182	98	84	24	0.0%
50	Mikko RantanenFCOL	COL	53.8%	511	275	236	80	99%▲0.5
51	Eetu LuostarinenFFLA	FLA	53.6%	179	96	83	82	12%▲10
52	Andrew CoppFDET	DET	53.5%	1,001	536	465	79	9.2%▲7.8
53	Pierre-Edouard BellemareFSEA	SEA	53.5%	325	174	151	40	—
54	Sean CouturierFPHI	PHI	53.5%	1,294	692	602	74	9.2%▲7.2
55	Auston MatthewsFTOR	TOR	53.4%	1,319	705	614	81	99%
56	Casey CizikasFNYI	NYI	53.4%	646	345	301	70	0.1%
57	Sam CarrickFANA/EDM	ANA/EDM	53.4%	785	419	366	77	0.1%
58	Adam HenriqueFANA/EDM	ANA/EDM	53.3%	1,083	577	506	82	0.5%
59	Michael McCarronFNSH	NSH	53.2%	671	357	314	70	7.3%▲6.9
60	Ryan JohansenFCOL	COL	53.1%	811	431	380	63	—
61	Teddy BluegerFVAN	VAN	53.1%	781	415	366	68	4.8%▲4.6
62	Robert ThomasFSTL	STL	53.1%	1,649	876	773	82	93%▲20
63	Dylan StromeFWSH	WSH	52.8%	1,320	697	623	82	83%▲11
64	Thomas BordeleauFSJS	SJS	52.8%	125	66	59	27	—
65	Brady TkachukFOTT	OTT	52.6%	380	200	180	81	100%▲2
66	Chandler StephensonFVGK	VGK	52.6%	1,050	552	498	75	17%▲13
67	Nick SuzukiFMTL	MTL	52.6%	1,311	689	622	82	100%▲0.5
68	Colton SissonsFNSH	NSH	52.6%	1,176	618	558	81	3.3%▲3.1
69	Nick FolignoFCHI	CHI	52.4%	435	228	207	74	4.1%▲3.6
70	Lars EllerFPIT	PIT	52.3%	932	487	445	82	0.2%
71	Jake EvansFMTL	MTL	52.2%	1,137	593	544	82	5.7%▲5.2
72	Josh NorrisFOTT	OTT	52.1%	629	328	301	50	39%▲32
73	Rourke ChartierFOTT	OTT	52.0%	296	154	142	37	—
74	Tomas NosekFNJD	NJD	51.9%	233	121	112	36	—
75	Phillip DanaultFLAK	LAK	51.9%	1,157	600	557	78	4.9%▲4.5
76	Mason McTavishFANA	ANA	51.7%	845	437	408	64	51%▲36
77	Charlie CoyleFBOS	BOS	51.6%	1,477	762	715	82	49%▼11
78	Ross ColtonFCOL	COL	51.6%	820	423	397	80	8.1%▲7.8
79	Jesperi KotkaniemiFCAR	CAR	51.5%	646	333	313	79	3.2%▲3.1
80	Michael AmadioFVGK	VGK	51.5%	134	69	65	73	3.3%▲2.6
81	Kevin StenlundFFLA	FLA	51.4%	835	429	406	81	0.1%
82	Connor McDavidFEDM	EDM	51.1%	865	442	423	76	100%▲1.5
83	Joe PavelskiFDAL	DAL	51.1%	695	355	340	82	—
84	Nick BoninoFNYR	NYR	51.0%	406	207	199	45	—
85	David KampfFTOR	TOR	50.9%	922	469	453	78	0.0%
86	Ryan McLeodFEDM	EDM	50.8%	718	365	353	81	26%▲20
87	Elias PetterssonFVAN	VAN	50.8%	799	406	393	82	87%▼5.5
88	James HamblinFEDM	EDM	50.6%	160	81	79	31	0.0%
89	Shane PintoFOTT	OTT	50.6%	496	251	245	41	37%▲22
90	Tyler MotteFTBL	TBL	50.3%	155	78	77	69	—
91	Mark JankowskiFNSH	NSH	50.3%	163	82	81	32	0.2%
92	Mikael BacklundFCGY	CGY	50.3%	1,547	778	769	82	14%▲9.3
93	Wyatt JohnstonFDAL	DAL	50.2%	634	318	316	82	100%▲0.9
94	Jonny BrodzinskiFNYR	NYR	50.2%	323	162	161	57	0.0%
95	Jason DickinsonFCHI	CHI	50.0%	1,236	618	618	82	3.2%▲3
96	Max DomiFTOR	TOR	50.0%	452	226	226	80	5.8%▲4.6
97	Cole GuttmanFCHI	CHI	50.0%	120	60	60	27	0.0%
98	Frederick GaudreauFMIN	MIN	49.9%	547	273	274	67	0.2%
99	Barrett HaytonFARI	ARI	49.8%	418	208	210	33	11%▲11
100	Joel Eriksson EkFMIN	MIN	49.7%	1,602	796	806	77	82%▲10

Minimum sample: 103 draws (it scales with games played). 339 below the minimum are hidden.

How to read it

Faceoffs won as a share of faceoffs taken (minimum draws scale with the season).

How reliable is it?

Faceoff win rate is one of the most repeatable individual skills once a player has 300+ draws.

About our data sources →

Projected next

Our fantasy projections for faceoff win %: who should lead the coming games.

Today →This week →Rest of season →

All NHL leaderboards →

Faceoff Win % leaderboard

How to read it

How reliable is it?

Projected next

Related leaderboards