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NHL Faceoff Win % Leaders

2021-22All 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 2021-22: Patrice Bergeron (BOS), 61.9% FO%.

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

2021-22

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

226 qualified

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NHL Faceoff Win % Leaders, 2021-22, All situations
#	Player	Team	FO%	Draws	FOW	FOL	GP
1	Patrice BergeronFBOS	BOS	61.9%	1,600	991	609	73	—
2	John TavaresFTOR	TOR	60.6%	1,342	813	529	79	96%▲9.3
3	Claude GirouxFPHI/FLA	PHI/FLA	60.3%	1,216	733	483	75	30%▲20
4	Jonathan ToewsFCHI	CHI	59.0%	1,336	788	548	71	0.3%
5	Luke GlendeningFDAL	DAL	58.7%	724	425	299	82	0.0%
6	Patrick BrownFPHI	PHI	58.5%	414	242	172	44	—
7	Mark KastelicFOTT	OTT	58.3%	120	70	50	16	13%▲12
8	Brad RichardsonFCGY/VAN	CGY/VAN	58.2%	239	139	100	44	—
9	Jordan StaalFCAR	CAR	57.3%	1,285	736	549	78	20%▲13
10	Michael McLeodFNJD	NJD	57.3%	1,055	604	451	77	—
11	Jay BeagleFARI	ARI	57.1%	464	265	199	33	—
12	Bo HorvatFVAN	VAN	57.0%	1,475	841	634	70	90%▲1.2
13	Jeff CarterFPIT	PIT	57.0%	1,137	648	489	76	—
14	Aleksander BarkovFFLA	FLA	56.9%	1,252	713	539	67	97%▲7
15	Anze KopitarFLAK	LAK	56.9%	1,509	858	651	81	0.5%
16	Ryan O'ReillyFSTL	STL	56.8%	1,585	900	685	78	84%▲5
17	Christian DvorakFMTL	MTL	56.7%	967	548	419	56	16%▲13
18	Paul StastnyFWPG	WPG	56.6%	472	267	205	71	—
19	Auston MatthewsFTOR	TOR	56.2%	1,229	691	538	73	99%
20	Cody EakinFBUF	BUF	56.0%	860	482	378	69	—
21	Tyler SeguinFDAL	DAL	56.0%	828	464	364	81	22%▲19
22	Derek RyanFEDM	EDM	55.9%	512	286	226	75	—
23	Derek StepanFCAR	CAR	55.9%	444	248	196	58	—
24	Nate ThompsonFPHI	PHI	55.7%	287	160	127	33	—
25	Colton SissonsFNSH	NSH	55.7%	1,292	719	573	79	3.3%▲3.1
26	Sean CouturierFPHI	PHI	55.6%	428	238	190	29	9.2%▲7.2
27	Casey CizikasFNYI	NYI	55.6%	961	534	427	74	0.1%
28	Adam HenriqueFANA	ANA	55.5%	497	276	221	58	0.5%
29	Jean-Gabriel PageauFNYI	NYI	55.3%	1,352	748	604	77	12%▲11
30	Nick BjugstadFMIN	MIN	55.3%	255	141	114	57	0.1%
31	Jamie BennFDAL	DAL	55.2%	891	492	399	82	22%▲18
32	Radek FaksaFDAL	DAL	55.1%	695	383	312	77	0.1%
33	Gabriel LandeskogFCOL	COL	54.9%	439	241	198	51	50%▲32
34	Vincent TrocheckFCAR	CAR	54.6%	1,245	680	565	81	88%▼5.4
35	Michael McCarronFNSH	NSH	54.4%	353	192	161	51	7.3%▲6.9
36	J.T. MillerFVAN	VAN	54.1%	1,233	667	566	80	92%▲7.7
37	Matt DucheneFNSH	NSH	54.1%	220	119	101	78	62%▼17
38	Tomas NosekFBOS	BOS	53.9%	672	362	310	75	—
39	Erik HaulaFBOS	BOS	53.8%	806	434	372	78	12%▲8.7
40	Justin DanforthFCBJ	CBJ	53.8%	199	107	92	45	0.0%
41	Connor McDavidFEDM	EDM	53.7%	1,046	562	484	80	100%▲1.5
42	Nic DowdFWSH	WSH	53.7%	943	506	437	64	3.2%▲3.1
43	Boone JennerFCBJ	CBJ	53.6%	1,198	642	556	59	21%▲16
44	Phillip DanaultFLAK	LAK	53.6%	1,262	676	586	79	4.9%▲4.5
45	Leon DraisaitlFEDM	EDM	53.4%	1,661	887	774	80	100%
46	Connor BunnamanFPHI	PHI	53.3%	107	57	50	15	—
47	Ryan GetzlafFANA	ANA	53.3%	1,025	546	479	56	—
48	Andrew CoppFWPG/NYR	WPG/NYR	53.2%	709	377	332	72	9.2%▲7.8
49	Sean MonahanFCGY	CGY	53.1%	779	414	365	65	19%▲13
50	Teddy BluegerFPIT	PIT	53.1%	672	357	315	65	4.8%▲4.6
51	Adam LowryFWPG	WPG	53.0%	1,064	564	500	79	5.7%▲5.5
52	Nico SturmFMIN/COL	MIN/COL	53.0%	589	312	277	74	0.1%
53	Roope HintzFDAL	DAL	53.0%	674	357	317	80	84%▲7.1
54	Elias LindholmFCGY	CGY	52.9%	1,592	842	750	82	43%▲4.7
55	David KampfFTOR	TOR	52.9%	1,165	616	549	82	0.0%
56	Jason SpezzaFTOR	TOR	52.9%	577	305	272	71	—
57	Ryan JohansenFNSH	NSH	52.6%	1,313	691	622	79	—
58	Morgan GeekieFSEA	SEA	52.5%	669	351	318	73	96%▲7.9
59	Joe PavelskiFDAL	DAL	52.5%	751	394	357	82	—
60	Tomas HertlFSJS	SJS	52.5%	1,466	769	697	82	84%▲3.2
61	Sidney CrosbyFPIT	PIT	52.4%	1,450	760	690	69	100%▲2.4
62	Sebastian AhoFCAR	CAR	52.4%	1,059	555	504	79	99%▲1.2
63	Brendan GaunceFCBJ	CBJ	52.4%	126	66	60	30	0.0%
64	Dylan StromeFCHI	CHI	52.3%	879	460	419	69	83%▲11
65	Dylan LarkinFDET	DET	52.3%	1,204	630	574	71	96%
66	Alex GalchenyukFARI	ARI	52.3%	409	214	195	60	—
67	Mika ZibanejadFNYR	NYR	52.3%	1,338	700	638	81	98%▲1.4
68	Ross ColtonFTBL	TBL	52.2%	581	303	278	79	8.1%▲7.8
69	Riley NashFARI/WPG/TBL	ARI/WPG/TBL	52.1%	397	207	190	49	—
70	Nico HischierFNJD	NJD	52.1%	1,402	730	672	70	97%▲2.3
71	Chandler StephensonFVGK	VGK	52.0%	1,255	653	602	79	17%▲13
72	William KarlssonFVGK	VGK	51.7%	983	508	475	67	24%▲20
73	Pierre-Edouard BellemareFTBL	TBL	51.7%	935	483	452	80	—
74	Blake LizotteFLAK	LAK	51.6%	607	313	294	70	0.1%
75	Ryan CarpenterFCHI/CGY	CHI/CGY	51.5%	388	200	188	67	—
76	J.T. CompherFCOL	COL	51.4%	657	338	319	70	4.0%▲3.9
77	Nick BoninoFSJS	SJS	51.4%	925	475	450	80	—
78	Jacob PetersonFDAL	DAL	51.3%	115	59	56	65	—
79	Derick BrassardFPHI/EDM	PHI/EDM	51.2%	330	169	161	46	—
80	Calle JarnkrokFSEA/CGY	SEA/CGY	51.2%	467	239	228	66	0.1%
81	Jesperi KotkaniemiFCAR	CAR	51.2%	344	176	168	66	3.2%▲3.1
82	Josh NorrisFOTT	OTT	51.1%	1,036	529	507	66	39%▲32
83	Brayden PointFTBL	TBL	51.0%	717	366	351	66	95%▲7.5
84	Scott LaughtonFPHI	PHI	51.0%	774	395	379	67	5.6%▲5.5
85	Steven StamkosFTBL	TBL	51.0%	1,068	545	523	81	94%▼4.2
86	Juho LammikkoFVAN	VAN	51.0%	694	354	340	75	0%
87	Jasper WeatherbyFSJS	SJS	50.7%	341	173	168	50	—
88	Mark ScheifeleFWPG	WPG	50.7%	848	430	418	67	99%
89	Noel AcciariFFLA	FLA	50.6%	166	84	82	20	3.3%▲3.1
90	Victor RaskFMIN/SEA	MIN/SEA	50.6%	176	89	87	47	—
91	Mikael BacklundFCGY	CGY	50.5%	1,229	621	608	82	14%▲9.3
92	Reese JohnsonFCHI	CHI	50.5%	212	107	105	37	—
93	Logan ShawFOTT	OTT	50.4%	115	58	57	17	—
94	Nick PaulFOTT/TBL	OTT/TBL	50.4%	845	426	419	80	8.1%▲7.7
95	Pavel ZachaFNJD	NJD	50.1%	377	189	188	70	78%▲13
96	Brady TkachukFOTT	OTT	50.1%	435	218	217	79	100%▲2
97	Michael RasmussenFDET	DET	50.1%	819	410	409	80	0.1%
98	Frederick GaudreauFMIN	MIN	50.0%	922	461	461	76	0.2%
99	Robert ThomasFSTL	STL	49.9%	1,127	562	565	72	93%▲20
100	Zemgus GirgensonsFBUF	BUF	49.8%	287	143	144	56	3.2%▲3

Minimum sample: 103 draws (it scales with games played). 370 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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