Edgehalla

Draw Duel

NHL Faceoff Leaders 2025-26

Every NHL faceoff taker, ranked by a model that knows who he faced, at which dot, from which side and at what strength. Raw FO% rewards centres who see weak opponents or take most of their draws on their strong side; the rating takes both out and gives a 90% interval, so you can tell a real 56% from a lucky one.

2025-26 regular season · 238 takers with 100+ draws · model fitted 2026-10-04 on 239,498 draws from 2026-27, 2025-26, 2024-25, 2023-24.

Strong side vs weak side

56.7%

A taker on his strong-side dot beats one on his weak side this often. Handedness × dot is the biggest matchup effect.

Home ice

+0.6 pts

The home taker's edge after adjusting for who took the draw. No arena scorer bias shows up on faceoffs.

Head-to-head records

±2.1 pts

The real pair-specific edge once skill and side are known. Raw H2H records are mostly noise.

Faceoff leaders, 2025-26

Rating = expected win % against an average regular centre at a neutral dot, with its 90% interval. Strong and weak are his FO% on strong-side and weak-side dots. Sort by any column; lower the minimum to see part-time takers (at least 20 draws).

238 players
NHL faceoff leaders: model rating with 90% interval, draws, raw FO%, strong- and weak-side FO%, power-play and defensive-zone FO%.
#Player
1Claude GirouxOTT · R58.8%57%–61%79963.1%64.1%65.8%64.7% (133)68.3% (360)
2Aatu RätyVAN · L58.2%56%–61%77760.5%66.7%55.7%69.7% (33)61.0% (395)
3Jonathan ToewsWPG · L57.8%55%–60%102662.1%69.4%48.1%61.9% (168)59.4% (286)
4Jean-Gabriel PageauNYI · R57.7%56%–59%110559.1%58.6%58.3%67.2% (64)58.6% (503)
5Vincent TrocheckUTA · R57.2%56%–59%109956.9%58.2%54.9%65.2% (181)53.1% (409)
6J.T. MillerNYR · L57.2%55%–59%89061.5%62.4%58.5%63.7% (146)59.5% (294)
7Auston MatthewsTOR · L57.0%55%–59%97259.7%63.8%53.5%64.9% (37)56.8% (345)
8Jack DruryNSH · L56.9%55%–59%96958.1%61.7%49.7%41.7% (12)56.7% (446)
9Jordan StaalCAR · L56.8%55%–58%151255.5%63.8%47.2%66.9% (175)53.4% (581)
10John TavaresTOR · L56.6%55%–58%139257.5%55.8%56.0%56.0% (275)57.6% (368)
11Anze KopitarLAK · L56.6%55%–58%130756.9%62.1%53.4%63.0% (243)56.2% (434)
12Tim WasheANA · L56.3%53%–59%38858.0%66.9%45.1%— (3)52.2% (209)
13Mark KastelicBOS · R55.6%53%–58%56460.8%60.3%—— (6)60.8% (332)
14Sidney CrosbyPIT · L55.5%54%–57%140155.2%57.9%53.5%63.2% (272)54.4% (305)
15Sean CouturierPHI · L55.3%54%–57%116654.2%59.8%49.5%62.5% (72)56.0% (564)
16Nico SturmMIN · L55.3%53%–58%37255.1%61.1%49.4%— (0)54.5% (224)
17Bo HorvatNYI · L55.0%53%–57%122656.3%60.3%49.6%61.2% (289)51.8% (359)
18Nico HischierNJD · L55.0%54%–56%180855.8%61.5%46.7%63.6% (291)55.0% (629)
19Dylan StromeWSH · L54.9%53%–56%133458.2%61.5%57.3%66.2% (328)61.7% (243)
20Elias LindholmBOS · R54.3%53%–56%117756.1%59.5%49.3%62.9% (186)54.1% (407)
21Jake EvansMTL · R54.0%52%–56%84555.9%56.4%53.1%72.7% (11)55.7% (449)
22Christian DvorakPHI · L54.0%52%–56%115454.5%57.3%52.7%57.0% (149)56.9% (406)
23Adam HenriqueEDM · L53.9%52%–56%60554.0%57.4%50.0%45.8% (24)54.2% (310)
24Colton SissonsTOR · R53.8%52%–56%61456.5%56.2%53.9%61.9% (21)58.7% (312)
25Kevin StenlundUTA · R53.7%52%–55%114154.2%57.5%47.6%51.0% (49)57.5% (657)
26Luke GlendeningPHI · R53.6%52%–56%64952.9%53.0%49.2%— (4)51.0% (351)
27Scott LaughtonLAK · L53.6%52%–56%76857.7%54.8%59.0%90.0% (10)56.9% (445)
28Leon DraisaitlEDM · L53.6%52%–55%110356.9%58.9%50.2%61.8% (228)53.9% (243)
29Arttu HyryDAL · R53.4%50%–57%20957.9%54.3%52.6%— (0)52.7% (110)
30Dylan LarkinDET · L53.4%52%–55%149252.9%57.0%46.5%60.0% (285)50.3% (553)
31Tomas HertlVGK · L53.3%52%–55%124557.8%62.0%44.1%56.5% (306)56.7% (284)
32Ryan O'ReillyNSH · L53.2%52%–55%134255.1%58.1%48.5%56.3% (247)55.4% (442)
33Casey CizikasNYI · L53.1%51%–55%64254.7%58.8%49.5%— (3)54.5% (222)
34Sam CarrickBUF · R52.9%51%–55%54054.8%53.7%58.2%— (3)57.3% (260)
35Michael McCarronMIN · R52.8%51%–55%99452.5%54.1%48.7%28.6% (14)55.6% (558)
36William KarlssonVGK · L52.8%51%–55%15857.6%67.1%49.0%— (5)63.9% (61)
37Roope HintzDAL · L52.6%51%–55%72759.1%61.8%50.9%59.4% (170)58.4% (197)
38Adam LowryWPG · L52.6%51%–54%95154.9%61.1%46.7%— (8)49.5% (436)
39Boone JennerWSH · L52.6%50%–55%38052.6%59.7%44.8%53.8% (26)54.9% (133)
40David KampfWSH · L52.5%50%–55%55352.3%64.7%39.0%— (8)50.4% (264)
41Phillip DanaultMTL · L52.5%51%–54%99154.8%60.1%43.1%45.3% (53)54.4% (432)
42Andrew CoppDET · L52.5%51%–54%99054.2%54.7%53.6%57.1% (77)53.4% (324)
43Robert ThomasSTL · R52.4%51%–54%104252.5%52.9%52.7%60.9% (133)51.1% (370)
44Charlie CoyleCBJ · R52.3%51%–54%123450.7%48.4%55.1%47.2% (72)50.2% (598)
45Curtis LazarEDM · R52.2%49%–55%29161.2%62.7%44.0%— (4)61.3% (173)
46Tyler SeguinDAL · R52.2%49%–55%23553.6%53.1%57.9%60.0% (25)56.5% (85)
47Justin HryckowianDAL · L52.2%49%–56%34355.1%57.7%50.8%64.3% (14)53.3% (122)
48Radek FaksaDAL · L52.0%50%–54%44153.3%59.2%39.3%— (3)50.4% (242)
49Noel AcciariPHI · R52.0%50%–54%59452.0%53.5%42.0%36.8% (19)52.7% (433)
50Mika ZibanejadNYR · R51.9%50%–54%109452.5%53.0%49.3%46.7% (45)51.0% (412)
51Steven StamkosNSH · R51.9%50%–54%56057.7%58.2%54.3%58.6% (111)60.7% (145)
52Anton LundellFLA · L51.9%50%–54%112051.8%55.9%49.3%52.6% (152)54.5% (409)
53Morgan FrostCGY · L51.8%50%–54%105856.8%62.4%48.0%60.6% (198)58.8% (228)
54Nick PaulTOR · L51.6%50%–54%55753.9%60.8%44.8%54.5% (77)52.6% (190)
55Brendan GaunceBOS · L51.6%48%–55%18156.9%64.1%47.4%— (1)54.3% (92)
56Lars EllerFLA · L51.5%49%–54%61554.0%55.8%50.0%80.0% (10)51.3% (275)
57Cody GlassNJD · R51.5%49%–54%89654.0%55.9%54.1%65.2% (23)59.6% (342)
58Pavel ZachaBOS · L51.4%50%–53%98353.3%55.3%49.4%55.7% (122)53.5% (385)
59Jamie BennDAL · L51.4%49%–54%10148.5%52.9%37.5%57.1% (21)52.4% (21)
60Sebastian AhoCAR · L51.3%50%–53%118150.5%56.8%43.8%53.8% (156)43.4% (295)
61Nick SuzukiMTL · R51.0%50%–52%144950.4%49.6%48.7%50.5% (325)47.1% (350)
62Gabriel LandeskogCOL · L51.0%48%–54%26062.3%64.8%40.7%68.9% (103)62.8% (43)
63Alex TurcotteLAK · L50.9%48%–54%47554.1%58.3%48.2%70.0% (10)60.0% (130)
64Ben MeyersSEA · L50.9%47%–54%33655.1%61.6%38.8%— (3)54.3% (162)
65Mark JankowskiCAR · L50.8%49%–53%70351.4%52.0%50.0%50.0% (18)51.9% (210)
66Sean KuralyBOS · L50.8%49%–53%66251.1%54.1%43.7%— (1)50.6% (318)
67Sean MonahanCBJ · L50.8%49%–52%122052.3%56.4%45.4%54.6% (174)52.1% (409)
68Rodrigo AbolsPHI · L50.6%47%–54%30352.1%59.8%45.5%— (4)55.1% (98)
69Barrett HaytonUTA · L50.5%48%–52%77752.6%54.9%46.2%56.8% (111)53.5% (275)
70Chandler StephensonSEA · L50.4%49%–52%145752.1%60.1%40.9%62.4% (266)49.0% (604)
71Jack RoslovicTOR · R50.4%47%–53%26853.0%58.2%35.1%56.5% (23)55.6% (54)
72Brayden SchennNYI · L50.4%49%–52%84354.1%56.3%46.5%63.0% (108)48.6% (257)
73Teddy BluegerTOR · L50.3%48%–53%41448.1%48.3%44.0%58.3% (12)43.8% (176)
74Jansen HarkinsTBL · L50.2%47%–54%18551.4%48.9%49.2%— (9)55.2% (58)
75Josh NorrisBUF · L50.2%48%–52%59449.5%54.5%41.1%50.5% (111)44.2% (190)
76Ty DellandreaSJS · R50.2%48%–53%53951.9%49.9%59.6%53.8% (13)50.5% (315)
77Mikael BacklundCGY · L50.0%49%–52%144150.0%57.0%44.0%52.8% (72)48.6% (780)
78Erik HaulaLAK · L50.0%48%–52%100549.2%54.5%40.6%54.9% (82)45.5% (382)
79Dylan CozensOTT · R49.9%48%–52%81853.2%53.7%64.2%56.1% (107)55.2% (172)
80Max DomiTOR · L49.8%47%–52%43151.3%56.2%44.4%57.1% (35)50.7% (148)
81Shane PintoOTT · R49.7%48%–52%76451.8%56.5%46.2%69.2% (26)55.8% (312)
82Matt DucheneDAL · L49.7%48%–52%51052.2%56.4%38.8%62.9% (89)48.0% (125)
83Nathan WalkerSTL · L49.7%46%–54%10354.4%55.1%45.0%— (0)50.0% (40)
84Nic DowdVGK · R49.7%48%–51%96849.2%48.6%49.1%— (4)50.1% (533)
85Kevin HayesPIT · L49.7%47%–53%13940.3%38.2%35.1%64.3% (14)34.1% (41)
86Brady TkachukFLA · L49.6%47%–52%30457.6%58.5%35.0%61.0% (118)54.5% (11)
87Ryan McLeodBUF · L49.5%48%–51%128447.7%50.7%44.3%47.5% (99)47.2% (570)
88Jack FinleySTL · R49.5%46%–53%39550.9%51.8%46.2%53.3% (15)52.1% (190)
89Nicolas RoyCOL · R49.3%47%–51%72152.3%48.1%60.8%50.0% (40)53.4% (326)
90Nathan MacKinnonCOL · R49.3%48%–51%133451.0%53.4%46.8%63.5% (167)46.2% (316)
91Ryan PoehlingANA · L49.3%47%–51%102848.4%53.9%40.0%52.2% (23)46.1% (503)
92Pierre-Luc DuboisWSH · L49.3%47%–51%38347.3%47.5%44.8%68.8% (48)41.2% (136)
93Brock NelsonCOL · L49.2%48%–51%145950.4%52.9%45.0%58.2% (201)49.0% (547)
94Tomas NosekFLA · L49.2%46%–52%22546.2%45.5%42.7%— (4)48.5% (99)
95Tim StützleOTT · L49.1%47%–51%63853.0%53.8%38.6%54.7% (64)48.4% (122)
96Jason DickinsonEDM · L49.0%47%–51%88849.3%57.8%38.2%60.0% (10)51.7% (447)
97Isac LundeströmCBJ · L49.0%46%–52%25752.1%62.1%38.5%— (4)53.6% (112)
98Noah LabaNYR · R49.0%46%–52%65250.8%53.3%45.9%42.9% (28)50.0% (236)
99Brett HowdenVGK · L49.0%47%–51%51750.3%51.5%44.5%68.0% (25)50.3% (173)
100Jesperi KotkaniemiCAR · L48.9%46%–51%27048.5%53.4%44.9%— (6)50.9% (57)
101Anthony CirelliTBL · L48.8%47%–50%107548.2%55.4%38.7%69.1% (94)43.2% (419)
102Jack McBainUTA · L48.5%46%–51%64151.3%53.8%42.4%42.1% (19)42.4% (224)
103Marco KasperDET · L48.5%46%–51%44751.5%57.6%45.3%33.3% (12)52.6% (156)
104Joel Eriksson EkMIN · L48.4%47%–50%139049.0%55.9%40.6%53.8% (288)45.9% (488)
105J.T. CompherDET · R48.4%47%–50%102250.9%49.5%51.1%56.3% (32)47.3% (448)
106Joseph VelenoNYR · L48.4%46%–51%31651.6%56.3%34.0%— (0)56.6% (129)
107Mason McTavishSTL · L48.4%46%–50%76848.6%56.0%37.8%57.3% (110)48.1% (185)
108Ross ColtonNSH · L48.3%45%–51%10847.2%57.1%42.1%50.0% (10)41.4% (29)
109Paul CotterVAN · L48.3%44%–52%13251.5%50.6%42.9%— (1)53.3% (30)
110Zack OstapchukSJS · L48.3%45%–51%45751.6%58.1%41.5%— (4)49.7% (187)
111Nick BjugstadNJD · R48.3%46%–51%35149.9%49.5%36.5%— (7)48.3% (143)
112John BeecherCGY · L48.3%46%–51%19643.4%54.3%34.5%— (1)42.2% (90)
113Sam SteelDAL · L48.3%45%–51%25550.6%53.6%39.4%— (7)49.4% (87)
114Connor McDavidEDM · L48.2%46%–50%92349.5%57.3%41.4%50.0% (84)50.2% (239)
115Blake LizottePIT · L48.1%46%–51%47650.0%53.4%41.8%— (4)48.7% (271)
116Justin KirklandMIN · L48.0%44%–52%12650.0%53.7%48.9%— (1)52.8% (53)
117Mikael GranlundANA · L48.0%46%–50%76649.7%53.9%42.6%56.7% (141)45.5% (266)
118Ridly GreigOTT · L47.9%45%–50%51251.2%53.4%34.3%66.7% (27)57.6% (245)
119Gabriel VilardiWPG · R47.9%44%–52%10042.0%40.0%51.9%48.0% (25)— (8)
120Macklin CelebriniSJS · L47.8%46%–50%128548.6%51.7%42.4%55.5% (119)51.0% (347)
121Nick FolignoMIN · L47.8%45%–50%41349.4%50.8%45.2%55.6% (45)44.6% (175)
122Morgan BarronWPG · L47.7%45%–50%58546.2%56.9%39.7%— (4)46.3% (341)
123Luke KuninFLA · R47.7%45%–50%44349.4%52.2%44.2%— (9)51.6% (190)
124Alexander KerfootNSH · L47.5%45%–50%22551.1%54.0%40.0%50.0% (10)43.9% (98)
125Cutter GauthierANA · L47.5%44%–51%20849.0%53.3%40.6%56.3% (87)47.1% (17)
126Jack EichelVGK · R47.5%46%–49%117147.7%46.9%50.4%51.4% (74)46.5% (370)
127Tyson KozakBUF · L47.4%44%–51%38748.3%56.9%34.4%— (6)44.8% (192)
128Adam GaudetteSJS · R47.4%44%–51%27947.7%47.0%43.6%59.4% (32)48.3% (116)
129Trent FredericEDM · L47.4%44%–51%15657.1%59.1%42.9%— (3)59.6% (47)
130Steven LorentzCBJ · L47.3%43%–51%12345.5%38.3%54.1%— (2)37.9% (58)
131Fraser MintenBOS · L47.3%45%–50%83949.3%53.1%40.5%50.0% (52)46.6% (232)
132Wyatt JohnstonDAL · R47.2%45%–49%84447.6%48.7%37.9%50.7% (75)48.6% (282)
133Drew O'ConnorVAN · L47.2%43%–51%11148.6%53.0%35.7%45.5% (11)50.0% (14)
134Matty BeniersSEA · L47.2%45%–49%107248.0%51.3%46.6%53.3% (45)52.5% (322)
135Michael RasmussenDET · L47.1%44%–50%28646.2%49.6%40.0%— (8)52.3% (107)
136Adam FantilliCBJ · L47.1%45%–49%110849.8%53.8%42.1%50.8% (124)50.0% (214)
137Jonathan DrouinSTL · L47.1%43%–51%22949.8%55.1%25.0%56.8% (44)40.3% (62)
138Mark ScheifeleWPG · R47.1%45%–49%127346.7%47.4%49.6%48.7% (197)48.2% (274)
139Dominic JamesTBL · L47.1%43%–51%27650.4%52.7%51.3%— (5)53.2% (77)
140Zemgus GirgensonsTBL · L47.0%44%–50%22444.6%47.9%41.1%— (2)42.1% (107)
141Filip ChytilVAN · L46.9%44%–50%12249.2%46.3%49.0%— (8)46.9% (32)
142Eetu LuostarinenFLA · L46.9%43%–50%24944.6%54.5%37.9%37.0% (27)43.7% (71)
143Ryan Nugent-HopkinsEDM · L46.8%44%–49%36347.4%50.2%41.7%63.9% (36)40.4% (104)
144Ryan HartmanMIN · R46.8%45%–49%108545.3%44.1%47.4%48.0% (98)47.1% (363)
145Cole SchwindtFLA · R46.7%43%–50%20644.2%39.0%42.6%— (6)48.1% (54)
146Brayden PointTBL · R46.7%45%–49%65345.8%44.9%49.5%48.8% (121)40.1% (152)
147Elias PetterssonVAN · L46.7%45%–48%135347.5%52.8%40.1%55.5% (283)45.2% (425)
148Cole SillingerCBJ · L46.6%44%–49%11641.4%50.0%34.0%— (3)35.0% (40)
149Colin BlackwellDAL · R46.6%44%–50%28743.2%39.6%—— (2)33.5% (164)
150Evan RodriguesNJD · R46.6%44%–49%79147.0%47.7%40.2%47.2% (72)44.0% (268)
151Frank NazarCHI · R46.5%44%–49%84647.4%45.2%56.7%51.2% (168)47.3% (273)
152Connor DewarPIT · L46.4%43%–50%11647.4%47.8%32.0%— (2)44.6% (74)
153Evgeni MalkinPIT · L46.4%44%–49%24544.5%47.8%42.7%34.6% (26)47.5% (40)
154Marco RossiVAN · L46.4%44%–48%57549.2%50.2%47.9%34.2% (38)52.0% (177)
155Yanni GourdeTBL · L46.4%44%–48%88144.9%45.9%37.1%47.6% (21)41.3% (356)
156Alexander WennbergSJS · L46.2%45%–48%140046.8%54.7%37.3%54.2% (277)43.6% (551)
157Frederick GaudreauSEA · R46.0%44%–48%68143.5%43.6%44.9%30.4% (23)45.4% (427)
158Ben JonesCGY · L45.9%41%–51%13952.5%53.7%43.8%— (2)43.7% (71)
159Justin SourdifWSH · R45.9%43%–49%68845.9%47.7%44.5%50.0% (24)50.0% (264)
160Nick SchmaltzUTA · R45.8%44%–48%97446.0%46.5%48.1%47.7% (128)47.3% (182)
161Matt BoldyMIN · L45.8%42%–50%12444.4%47.8%38.0%42.9% (49)45.5% (22)
162Oliver KapanenMTL · R45.7%43%–48%67245.5%45.9%43.7%55.8% (52)39.4% (188)
163Samuel HeleniusLAK · L45.7%42%–49%25245.2%45.7%39.2%— (1)37.5% (96)
164Nazem KadriCOL · L45.7%44%–47%98946.9%54.2%37.2%48.3% (87)43.2% (241)
165Pius SuterSTL · L45.6%43%–48%55248.4%48.3%45.1%47.4% (19)43.3% (224)
166Peyton KrebsBUF · L45.6%43%–48%47744.0%46.0%36.9%— (7)47.8% (178)
167Marat KhusnutdinovBOS · L45.6%42%–49%12046.7%50.0%26.1%— (5)54.2% (24)
168Jiri KulichBUF · L45.6%42%–49%16341.7%33.3%55.6%33.3% (15)51.0% (51)
169Sam BennettFLA · L45.4%44%–47%108747.6%52.3%39.3%54.2% (168)50.2% (263)
170Michael MisaSJS · L45.4%42%–49%35445.8%47.0%42.5%40.0% (15)44.2% (120)
171Noah CatesPHI · L45.3%44%–47%103045.3%46.1%42.1%44.1% (136)47.1% (274)
172Morgan GeekieBOS · R45.2%42%–48%16045.6%43.0%54.1%48.6% (35)43.8% (32)
173Tage ThompsonBUF · R45.2%43%–47%85845.5%43.3%51.9%49.5% (103)44.4% (250)
174Quinton ByfieldLAK · L45.2%43%–47%111745.5%50.6%38.3%50.0% (62)44.0% (464)
175Noah PhilpCAR · R45.2%40%–50%12356.1%53.0%53.8%— (0)53.2% (62)
176Josh DunneBUF · L45.1%40%–50%12254.1%52.3%50.0%— (2)50.0% (50)
177Casey MittelstadtBOS · L44.9%43%–47%18648.9%58.7%30.2%54.8% (31)53.3% (45)
178Jake GuentzelTBL · L44.8%42%–48%43747.8%51.2%39.2%45.7% (140)56.0% (75)
179Bo GroulxTOR · L44.7%41%–49%15537.4%49.1%27.1%— (2)27.2% (81)
180Mavrik BourqueNSH · R44.7%42%–48%23645.3%49.7%20.0%27.8% (18)48.7% (76)
181Anders LeeUTA · L44.7%40%–50%12153.7%55.4%50.0%51.1% (45)— (9)
182Oskar SundqvistSTL · R44.7%42%–47%42846.0%45.8%37.7%80.0% (10)43.4% (221)
183Tyson JostNSH · L44.7%41%–49%11240.2%47.2%29.3%— (1)37.8% (37)
184Yakov TreninMIN · L44.6%41%–48%12038.3%38.3%42.6%— (1)37.5% (40)
185Connor McMichaelSTL · L44.5%42%–47%61842.9%42.2%45.2%50.0% (58)44.7% (255)
186Dalibor DvorskySTL · L44.4%42%–47%72946.0%48.9%33.0%42.2% (90)39.3% (183)
187Kirby DachMTL · R44.3%41%–48%11641.4%42.6%44.8%— (7)50.0% (28)
188Logan StankovenCAR · R44.2%42%–46%92344.3%45.3%40.8%42.1% (95)42.1% (171)
189Alex NewhookMTL · L44.0%41%–47%26547.5%47.6%57.1%27.8% (18)52.6% (76)
190Ryan StromeCGY · R43.9%42%–46%40645.8%48.1%48.1%36.7% (30)48.7% (115)
191Alex LaferriereLAK · R43.8%41%–47%46842.3%39.9%38.9%52.9% (17)42.2% (166)
192Ryan GreeneCHI · R43.8%41%–46%79642.7%42.3%36.9%43.3% (67)43.2% (391)
193Connor BedardCHI · R43.7%42%–46%66947.1%47.5%48.8%67.5% (40)49.5% (204)
194Ryan DonatoCHI · L43.6%41%–46%36446.7%52.5%31.6%41.9% (43)44.1% (102)
195Connor ZaryCGY · L43.5%40%–47%16645.8%47.4%37.5%30.0% (20)47.8% (46)
196Matt CoronatoCGY · R43.5%40%–47%17639.8%40.3%—43.6% (39)47.4% (19)
197Max SassonVAN · L43.5%40%–47%29042.1%47.9%38.2%47.4% (19)44.3% (70)
198Yegor SharangovichCGY · L43.4%40%–47%10036.0%39.6%28.1%— (8)38.5% (26)
199Oliver MooreCHI · L43.4%39%–48%20548.3%50.9%41.5%33.3% (15)40.5% (37)
200Ben KindelPIT · R43.3%41%–46%64943.6%45.8%39.2%53.3% (45)41.7% (187)
201Teuvo TeravainenCHI · L43.2%39%–47%12039.2%38.9%39.1%33.3% (30)42.3% (26)
202Sam ReinhartFLA · R42.9%40%–46%14738.1%35.6%41.7%35.4% (48)38.5% (52)
203Tommy NovakPIT · L42.6%40%–45%50442.9%48.0%36.2%44.7% (38)44.6% (92)
204Josh SamanskiEDM · L42.6%38%–48%11248.2%53.1%28.6%— (1)50.0% (22)
205Vladislav NamestnikovWPG · L42.6%40%–45%22540.9%45.2%30.9%55.6% (18)37.5% (40)
206Shane WrightSEA · R42.6%40%–45%54639.7%37.3%45.7%39.7% (63)43.2% (111)
207Mathew BarzalNYI · R42.5%40%–45%52839.8%35.6%54.3%34.2% (38)41.4% (133)
208Leo CarlssonANA · L42.4%41%–44%97644.4%48.7%36.1%48.3% (89)41.5% (258)
209Juho LammikkoNJD · L42.4%37%–48%11249.1%39.0%50.0%— (2)41.7% (36)
210Mitch MarnerVGK · R42.1%39%–45%37240.3%43.1%44.2%— (5)45.7% (94)
211Carter VerhaegheFLA · L42.0%38%–46%11434.2%35.1%29.0%33.3% (30)36.0% (25)
212Parker KellyCOL · L41.9%39%–45%19136.1%40.7%30.5%— (1)33.8% (68)
213Dawson MercerNJD · R41.9%39%–45%29338.9%33.5%43.0%31.6% (19)35.6% (73)
214Lukas ReichelBOS · L41.9%39%–45%11739.3%44.6%38.5%— (1)41.9% (31)
215Fedor SvechkovCOL · L41.6%39%–44%54942.8%48.0%37.8%— (3)42.7% (164)
216Rickard RakellPIT · R41.6%38%–45%22536.0%36.4%19.6%45.5% (33)29.8% (47)
217Logan CooleyUTA · L41.3%39%–43%61644.3%46.6%37.6%48.2% (112)46.7% (122)
218Jason ZuckerBUF · L41.2%37%–45%12438.7%38.8%31.8%34.1% (88)— (8)
219Hendrix LapierrePIT · L41.1%38%–44%30139.9%42.3%41.7%— (7)41.2% (97)
220Jacob QuillanTOR · L41.1%36%–46%16242.0%42.6%37.7%— (0)43.6% (55)
221Emmitt FinnieDET · L41.1%36%–46%10944.0%44.4%35.3%30.8% (13)45.5% (22)
222Tyler BertuzziCHI · L40.9%36%–46%11345.1%52.6%27.3%43.5% (23)47.1% (17)
223Calum RitchieNYI · R40.7%37%–44%31036.8%37.1%40.3%45.5% (11)38.2% (68)
224Jesper BoqvistNJD · L40.6%37%–44%12230.3%38.0%12.5%— (5)25.0% (28)
225Pavel BuchnevichSTL · L40.5%37%–44%24739.7%45.0%32.3%46.7% (15)33.9% (59)
226Timo MeierNJD · L40.4%36%–45%12545.6%49.0%33.3%65.4% (26)37.9% (29)
227Danila YurovMIN · L40.2%38%–43%74239.2%43.9%34.2%24.0% (25)38.4% (216)
228Zakhar BardakovCOL · L40.0%35%–45%17242.4%49.3%41.8%— (1)42.9% (49)
229Berkly CattonSEA · L39.8%35%–45%15844.3%47.4%35.7%52.6% (19)26.7% (15)
230Brock BoeserVAN · R39.6%35%–44%13641.9%44.4%40.0%54.5% (11)44.8% (29)
231Matthew WoodNSH · R39.1%35%–43%20639.8%39.1%52.8%40.0% (15)25.5% (47)
232Trevor ZegrasPHI · L38.6%36%–41%38434.1%34.8%30.3%31.0% (58)40.4% (57)
233Nate DanielsonDET · R37.6%33%–42%14637.7%39.5%24.0%— (5)37.8% (45)
234Noah OstlundBUF · L37.5%34%–41%27331.5%34.2%17.1%— (9)26.1% (46)
235Jack HughesNJD · L37.1%35%–40%41734.8%36.5%19.4%— (9)25.3% (83)
236Adrian KempeLAK · L36.7%32%–41%14936.2%34.5%50.0%32.4% (37)46.4% (28)
237Alex KillornANA · L35.5%31%–40%12333.3%48.1%21.3%— (8)25.0% (28)
238Anton FrondellCHI · L33.2%29%–38%10630.2%37.5%12.0%— (7)32.4% (37)

Most faceoffs won projected tonight

  1. Andrew Copp DET9.5 FOW (5–14, 56%)
  2. Mikael Backlund CGY9.5 FOW (5–14, 53%)
  3. J.T. Miller NYR9.4 FOW (5–14, 58%)
  4. William Karlsson VGK9.3 FOW (5–14, 55%)
  5. Jack Eichel VGK9.3 FOW (4–14, 47%)
  6. Chandler Stephenson SEA8.9 FOW (4–14, 55%)

Every centre tonight → · This week's FOW streamers →

Power-play faceoff specialists

A power-play draw win is worth roughly twice an even-strength one. The team with more skaters wins about 54.5% of draws.

  1. Aatu Räty VAN69.7% on 33
  2. Shane Pinto OTT69.2% on 26
  3. Anthony Cirelli TBL69.1% on 94
  4. Gabriel Landeskog COL68.9% on 103
  5. Pierre-Luc Dubois WSH68.8% on 48
  6. Brett Howden VGK68.0% on 25
  7. Connor Bedard CHI67.5% on 40
  8. Jean-Gabriel Pageau NYI67.2% on 64

How the faceoff rating works

Each draw is a contest between two takers. We fit one skill number per taker, plus league-wide terms for home ice, the zone, centre ice, being on your strong side and having the extra skater, on every draw from the last three seasons and this one (older seasons count less). A player-specific strong-side bonus lets a centre who is unusually good, or bad, on his backhand side show it. Skill numbers are shrunk toward the league, harder for part-time takers, so a winger who went 7 for 9 does not top the board.

Out of sample the model beats raw FO% clearly: trained on 2023-24 and 2024-25 and tested on all 73,496 draws of 2025-26, its log-loss was 0.67974 against 0.68585 for raw percentages and 0.69315 for a coin flip. Faceoff skill is real (split-half r 0.76 at 417 draws per half), but every single draw stays close to a coin flip.

Full methodology and validation →

FAQ

Who is the best faceoff man in the NHL?

On our model rating, which adjusts for who each centre faced, where and from which side, the top of the board is in the table above, updated nightly. Raw FO% flatters centres who face weak opponents or take most of their draws on their strong side; the rating removes both.

What is a good faceoff percentage?

The league average is 50% by definition. A regular centre at 55% is very good, 57%+ is elite, and under 45% is a liability. Small samples swing a lot: after 200 draws a 90% interval is still about ±5.5 points, so look at the interval, not just the number.

Does handedness matter on faceoffs?

Yes, more than anything else we measured except the takers' own skill. A taker on his strong side (a left shot on his left dot) beats a taker on his weak side 56.7% of the time. Same-handed centres swing about 14 points between the two dots of a zone; opposite-handed centres are always both strong or both weak, so the dot does not matter for them.

Is a faceoff head-to-head record meaningful?

Mostly not. After controlling for each taker's skill, home ice, zone, dot side and strength, pair-specific edges have a standard deviation of only about 2.1 points. Predicting from raw head-to-head records did worse out of sample (log-loss 0.718) than a coin flip (0.69315). We show the raw record next to the model and shrink it heavily toward the model.

Is there a home-ice advantage on faceoffs?

A small one: home takers won 50.44% of draws in 2025-26, and after adjusting for who took them the edge is about a point or less (it depends on the seasons in the fit; the methodology page shows the current value). Rule 76.4 (the visitor puts his stick down first at centre ice) shows no measurable edge, and arena scorers show no bias on faceoffs.