Edgehalla

Draw Duel

Noah Cates faceoff stats, 2025-26

PHI · L · Left shot · full player page

Model rating

45.3%

90%: 43.5%–47.2% vs an average regular, on 2,610 draws since 2023-24

2025-26 FO%

45.3%

467 won of 1030 (regular season)

Strong / weak side

46.1% / 42.1%

464 strong-side, 318 weak-side draws this season

Next game

6.0 FOW

2026-10-05 vs TBL: 12 draws at 49.2%, range 2–10

Where Cates wins draws

Win % at every dot, 2025-26 regular season, in his own attacking direction.

44% · 28139% · 9444% · 3448% · 3148% · 24836% · 2848% · 4055% · 12141% · 153
Offensive zone at the right, his left at the top. Warm = above 50%, cool = below; bigger circles = more draws. Hollow circles have under 10 draws.
Show as a table
Noah Cates faceoff win % by dot
DotDrawsWonFO%
OZ left28112343.8%
OZ right943739.4%
NZ left (att.)341544.1%
NZ right (att.)311548.4%
Centre24811948.0%
NZ left (def.)281035.7%
NZ right (def.)401947.5%
DZ left1216654.5%
DZ right1536341.2%

Toughest and easiest opponents

Model win % against today's regular centres, averaged over home and road and every dot. This is a prediction, not his record.

Toughest

Easiest

Splits by season

Faceoff win % by season and situation, with draws taken.
SeasonAllEVPPPKOZNZDZStrongWeak
2026-2753.1% 3254.8% 31— 00.0% 146.2% 1360.0% 1055.6% 946.7% 1550.0% 12
2025-2645.3% 103045.8% 84044.1% 13640.7% 5442.7% 37546.7% 38147.1% 27446.1% 46442.1% 318
2024-2544.6% 110546.7% 91233.9% 5635.0% 13740.9% 25949.2% 38442.9% 46247.5% 42741.1% 418
2023-2444.5% 33044.3% 27177.8% 1831.7% 4144.4% 10851.5% 9739.2% 12550.4% 12536.2% 152
Playoffs (all)46.9% 11348.2% 8342.3% 2650.0% 437.9% 5848.1% 2764.3% 2844.6% 6551.4% 35

Small numbers are draws taken. Strong = his strong-side dots (a left shot's left dots, in his own attacking direction); centre-ice draws count in neither.

Head-to-head, last three seasons

Raw records against his most frequent opponents next to what the model expected at the dots they actually met at. The blended number moves the model toward the record by n / (n + 500), because pair-specific edges are tiny (about ±2 points) and most of a lopsided record is luck.

Head-to-head faceoff records with model expectation and shrunk estimate.
OpponentRecordRawModelBlendedUnusual?
Sidney Crosby38–4247.5%39.8%40.9%a bit unusual (z 1.4)
Bo Horvat20–2643.5%39.7%40.0%normal luck (z 0.5)
Nick Suzuki18–2541.9%44.5%44.3%normal luck (z -0.4)
Logan Stankoven19–2246.3%50.5%50.2%normal luck (z -0.5)
Jack Hughes23–1659.0%57.5%57.6%normal luck (z 0.2)
Sean Monahan8–2722.9%42.7%41.4%unusual (z -2.4)
Auston Matthews13–2138.2%37.7%37.8%normal luck (z 0.1)
Sebastian Aho10–2330.3%43.9%43.1%a bit unusual (z -1.6)
Dylan Larkin9–2229.0%43.3%42.5%a bit unusual (z -1.6)
Mark Scheifele14–1745.2%47.6%47.5%normal luck (z -0.3)
Noel Acciari11–1936.7%40.1%39.9%normal luck (z -0.4)
Nico Hischier6–2420.0%40.5%39.3%unusual (z -2.3)

Last 10 games

Faceoffs taken and won in his last ten games.
DateOppFOWDrawsFO%
2026-10-03vs CAR61060.0%
2026-10-01@ NJD61346.2%
2026-09-30vs PIT5955.6%
2026-05-04@ CAR51827.8%
2026-05-02@ CAR82040.0%
2026-04-29vs PIT51241.7%
2026-04-27@ PIT131872.2%
2026-04-25vs PIT61250.0%
2026-04-22vs PIT51050.0%
2026-04-20@ PIT71258.3%

Projected faceoffs won

  • 2026-10-05 vs TBL likely opponents: Anthony Cirelli (48%), Brayden Point (48%)6.0 FOW 2–10
  • 2026-10-08 vs OTT likely opponents: Claude Giroux (35%), Lars Eller (45%)5.4 FOW 2–9
  • 2026-10-10 vs BOS likely opponents: Pavel Zacha (45%), Elias Lindholm (40%)5.4 FOW 2–9
  • 2026-10-11 vs CAR likely opponents: Jordan Staal (41%), Sebastian Aho (47%)5.7 FOW 2–9

FAQ

What is Noah Cates's faceoff percentage?

The season line above shows Noah Cates's raw faceoff wins and percentage this season. The model rating beside it is his expected win rate against an average regular centre at a neutral dot, adjusted for opponents, home ice and dot side, with a 90% interval.

How many faceoffs will Noah Cates win tonight?

When Noah Cates has a game scheduled, the projection above gives expected draws, expected win rate against tonight's likely opposing centres, and a 10th–90th percentile range of faceoffs won. Projections update nightly.

Is Noah Cates better on his strong side?

Almost every centre is. The strong/weak split above compares his win rate on his strong-side dots (a left shot's left dots) with his weak-side dots. League-wide, strong-side takers win about 52.6% and weak-side takers about 44.9%.