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NHL Faceoff Win % Leaders

2022-23All 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 2022-23: Jonathan Toews (CHI), 63.1% FO%.

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

2022-23

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

212 qualified

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NHL Faceoff Win % Leaders, 2022-23, All situations
#	Player	Team	FO%	Draws	FOW	FOL	GP
1	Jonathan ToewsFCHI	CHI	63.1%	941	594	347	53	0.3%
2	Patrice BergeronFBOS	BOS	61.1%	1,706	1,043	663	78	—
3	Michael McLeodFNJD	NJD	60.6%	968	587	381	80	—
4	Jamie BennFDAL	DAL	60.1%	865	520	345	82	22%▲18
5	Michael McCarronFNSH	NSH	59.4%	106	63	43	32	7.3%▲6.9
6	Jeff CarterFPIT	PIT	59.4%	938	557	381	79	—
7	Tomas NosekFBOS	BOS	59.3%	597	354	243	66	—
8	Ryan JohansenFNSH	NSH	59.2%	848	502	346	55	—
9	Luke GlendeningFDAL	DAL	59.0%	608	359	249	70	0.0%
10	John TavaresFTOR	TOR	58.3%	1,245	726	519	80	96%▲9.3
11	Claude GirouxFOTT	OTT	58.3%	1,221	712	509	82	30%▲20
12	Chandler StephensonFVGK	VGK	58.1%	1,162	675	487	81	17%▲13
13	Paul StastnyFCAR	CAR	57.6%	486	280	206	73	—
14	Jean-Gabriel PageauFNYI	NYI	57.2%	1,256	719	537	70	12%▲11
15	Mark KastelicFOTT	OTT	56.9%	590	336	254	65	13%▲12
16	Bo HorvatFVAN/NYI	VAN/NYI	56.9%	1,685	958	727	79	90%▲1.2
17	Ross ColtonFTBL	TBL	56.1%	189	106	83	81	8.1%▲7.8
18	Vincent TrocheckFNYR	NYR	56.1%	1,286	721	565	82	88%▼5.4
19	Radek FaksaFDAL	DAL	56.0%	552	309	243	81	0.1%
20	Anze KopitarFLAK	LAK	55.9%	1,608	899	709	82	0.5%
21	Nico SturmFSJS	SJS	55.8%	880	491	389	74	0.1%
22	Ryan O'ReillyFSTL/TOR	STL/TOR	55.8%	895	499	396	53	84%▲5
23	Elias LindholmFCGY	CGY	55.7%	1,538	857	681	80	43%▲4.7
24	Jordan StaalFCAR	CAR	55.7%	1,474	821	653	81	20%▲13
25	Mark JankowskiFNSH	NSH	55.7%	343	191	152	50	0.2%
26	William KarlssonFVGK	VGK	55.3%	1,142	632	510	82	24%▲20
27	Derek GrantFANA	ANA	55.2%	493	272	221	46	—
28	Sean MonahanFMTL	MTL	55.1%	321	177	144	25	19%▲13
29	J.T. MillerFVAN	VAN	55.0%	886	487	399	81	92%▲7.7
30	Leon DraisaitlFEDM	EDM	54.9%	1,470	807	663	80	100%
31	Aleksander BarkovFFLA	FLA	54.9%	1,332	731	601	68	97%▲7
32	Tomas HertlFSJS	SJS	54.8%	1,445	792	653	79	84%▲3.2
33	Tyler SeguinFDAL	DAL	54.7%	870	476	394	76	22%▲19
34	Boone JennerFCBJ	CBJ	54.7%	1,386	758	628	68	21%▲16
35	Matt BoldyFMIN	MIN	54.6%	141	77	64	81	100%
36	Rasmus KupariFLAK	LAK	54.6%	403	220	183	66	—
37	Dylan LarkinFDET	DET	54.4%	1,355	737	618	80	96%
38	Phillip DanaultFLAK	LAK	54.4%	1,273	692	581	82	4.9%▲4.5
39	Derek StepanFCAR	CAR	54.3%	422	229	193	73	—
40	Erik HaulaFNJD	NJD	54.2%	1,057	573	484	80	12%▲8.7
41	Ryan CarpenterFNYR	NYR	54.0%	124	67	57	22	—
42	Nico HischierFNJD	NJD	53.9%	1,654	891	763	81	97%▲2.3
43	Noel AcciariFSTL/TOR	STL/TOR	53.8%	626	337	289	77	3.3%▲3.1
44	Steven StamkosFTBL	TBL	53.8%	931	501	430	81	94%▼4.2
45	Nick PaulFTBL	TBL	53.7%	921	495	426	80	8.1%▲7.7
46	Max DomiFCHI/DAL	CHI/DAL	53.7%	950	510	440	80	5.8%▲4.6
47	Nathan WalkerFSTL	STL	53.7%	177	95	82	56	0.1%
48	Lars EllerFWSH/COL	WSH/COL	53.7%	1,023	549	474	84	0.2%
49	Colton SissonsFNSH	NSH	53.5%	1,108	593	515	82	3.3%▲3.1
50	Laurent DauphinFARI	ARI	53.5%	157	84	73	21	—
51	Joe PavelskiFDAL	DAL	53.4%	689	368	321	82	—
52	Casey CizikasFNYI	NYI	53.4%	939	501	438	81	0.1%
53	Kevin StenlundFWPG	WPG	53.2%	526	280	246	54	0.1%
54	Jack DruryFCAR	CAR	53.2%	126	67	59	38	5.6%▲5.4
55	Reese JohnsonFCHI	CHI	53.1%	226	120	106	57	—
56	Sidney CrosbyFPIT	PIT	53.0%	1,846	978	868	82	100%▲2.4
57	Robert ThomasFSTL	STL	52.9%	1,221	646	575	73	93%▲20
58	Matt DucheneFNSH	NSH	52.9%	259	137	122	71	62%▼17
59	Charlie CoyleFBOS	BOS	52.6%	1,019	536	483	82	49%▼11
60	Patrick BrownFPHI/OTT	PHI/OTT	52.5%	339	178	161	61	—
61	Auston MatthewsFTOR	TOR	52.4%	1,049	550	499	74	99%
62	Jayson MegnaFANA/COL	ANA/COL	52.3%	279	146	133	55	—
63	Pierre-Edouard BellemareFTBL	TBL	52.3%	616	322	294	73	—
64	Shane PintoFOTT	OTT	52.1%	862	449	413	82	37%▲22
65	Cole GuttmanFCHI	CHI	52.1%	169	88	81	14	0.0%
66	Christian DvorakFMTL	MTL	52.0%	917	477	440	64	16%▲13
67	Jake EvansFMTL	MTL	52.0%	650	338	312	54	5.7%▲5.2
68	Teddy BluegerFPIT/VGK	PIT/VGK	52.0%	575	299	276	63	4.8%▲4.6
69	Roope HintzFDAL	DAL	52.0%	479	249	230	73	84%▲7.1
70	Connor McDavidFEDM	EDM	51.9%	1,011	525	486	82	100%▲1.5
71	Blake WheelerFWPG	WPG	51.6%	126	65	61	72	—
72	Brett HowdenFVGK	VGK	51.5%	227	117	110	54	16%▲15
73	David KampfFTOR	TOR	51.5%	1,147	591	556	82	0.0%
74	Curtis LazarFVAN/NJD	VAN/NJD	51.5%	272	140	132	49	0.0%
75	Jesperi KotkaniemiFCAR	CAR	51.4%	700	360	340	82	3.2%▲3.1
76	Anthony CirelliFTBL	TBL	51.4%	831	427	404	58	51%▲19
77	Sebastian AhoFCAR	CAR	51.4%	1,034	531	503	75	99%▲1.2
78	Ben MeyersFCOL	COL	51.3%	187	96	91	39	0.0%
79	Lane PedersonFCBJ/VAN	CBJ/VAN	51.3%	150	77	73	27	0.0%
80	Tyler JohnsonFCHI	CHI	51.3%	113	58	55	56	—
81	Blake LizotteFLAK	LAK	51.2%	807	413	394	81	0.1%
82	Sam LaffertyFCHI/TOR	CHI/TOR	51.1%	485	248	237	70	0.0%
83	Adam HenriqueFANA	ANA	51.1%	669	342	327	62	0.5%
84	Barrett HaytonFARI	ARI	51.1%	1,230	628	602	82	11%▲11
85	Michael RasmussenFDET	DET	51.0%	398	203	195	56	0.1%
86	Mikael BacklundFCGY	CGY	50.9%	1,386	705	681	82	14%▲9.3
87	Devin ShoreFEDM	EDM	50.9%	175	89	86	47	—
88	Nic DowdFWSH	WSH	50.8%	852	433	419	65	3.2%▲3.1
89	Ty DellandreaFDAL	DAL	50.7%	201	102	99	82	3.2%▲3.1
90	Brayden PointFTBL	TBL	50.7%	822	417	405	82	95%▲7.5
91	Sam ReinhartFFLA	FLA	50.6%	466	236	230	82	99%
92	Jake LeschyshynFVGK/NYR	VGK/NYR	50.6%	233	118	115	35	—
93	Adam LowryFWPG	WPG	50.4%	1,180	595	585	82	5.7%▲5.5
94	Nicklas BackstromFWSH	WSH	50.4%	514	259	255	39	—
95	Juuso ParssinenFNSH	NSH	50.2%	311	156	155	45	0.0%
96	Derek RyanFEDM	EDM	50.0%	434	217	217	80	—
97	Derick BrassardFOTT	OTT	50.0%	286	143	143	62	—
98	Sheldon DriesFVAN	VAN	49.9%	471	235	236	63	0.0%
99	Andrew CoppFDET	DET	49.8%	1,299	647	652	82	9.2%▲7.8
100	Cody GlassFNSH	NSH	49.8%	727	362	365	72	4.9%▲4.5

Minimum sample: 103 draws (it scales with games played). 357 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.

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