Edgehalla

Draw Duel

J.T. Miller faceoff stats, 2025-26

NYR · C · Left shot · full player page

Model rating

57.2%

90%: 55.5%–58.9% vs an average regular, on 3,732 draws since 2023-24

2025-26 FO%

61.5%

547 won of 890 (regular season)

Strong / weak side

62.4% / 58.5%

614 strong-side, 118 weak-side draws this season

Next game

9.4 FOW

2026-10-04 vs UTA: 16 draws at 58.4%, range 5–14

Where Miller wins draws

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

61% · 30959% · 5171% · 31— · 960% · 15870% · 30— · 861% · 24450% · 50
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
J.T. Miller faceoff win % by dot
DotDrawsWonFO%
OZ left30919061.5%
OZ right513058.8%
NZ left (att.)312271.0%
NZ right (att.)9888.9%
Centre1589560.1%
NZ left (def.)302170.0%
NZ right (def.)8675.0%
DZ left24415061.5%
DZ right502550.0%

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
2026-2753.2% 4752.5% 4080.0% 50.0% 262.5% 1654.5% 1145.0% 2056.7% 3030.0% 10
2025-2661.5% 89062.5% 66163.7% 14649.4% 8361.1% 36064.4% 23659.5% 29462.4% 61458.5% 118
2024-2558.3% 107858.2% 82358.2% 16558.9% 9058.4% 41654.5% 32361.7% 33960.4% 57156.0% 293
2023-2456.3% 146156.3% 103362.5% 25347.4% 17559.7% 54853.6% 40354.9% 51060.7% 66453.2% 523
Playoffs (all)58.6% 25654.9% 21571.4% 2185.0% 2066.3% 8347.6% 8461.8% 8962.1% 12463.2% 76

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?
Jordan Staal23–2350.0%52.0%51.8%normal luck (z -0.3)
Mikael Backlund21–1755.3%58.4%58.2%normal luck (z -0.4)
Bo Horvat18–1850.0%55.5%55.1%normal luck (z -0.7)
Sidney Crosby25–1169.4%52.5%53.7%unusual (z 2.0)
Leon Draisaitl20–1458.8%54.2%54.5%normal luck (z 0.5)
Pierre-Luc Dubois18–1652.9%57.9%57.6%normal luck (z -0.6)
Chandler Stephenson18–1456.3%60.5%60.3%normal luck (z -0.5)
Nico Hischier17–1454.8%53.9%53.9%normal luck (z 0.1)
Elias Lindholm17–1356.7%50.9%51.2%normal luck (z 0.6)
Auston Matthews18–966.7%52.6%53.3%a bit unusual (z 1.5)
Adam Fantilli18–966.7%62.6%62.8%normal luck (z 0.4)
Nathan MacKinnon16–1061.5%57.0%57.2%normal luck (z 0.5)

Last 10 games

Faceoffs taken and won in his last ten games.
DateOppFOWDrawsFO%
2026-10-02@ DET61833.3%
2026-10-01vs TBL111478.6%
2026-09-29@ BOS81553.3%
2026-04-15@ TBL51241.7%
2026-04-13@ FLA6875.0%
2026-04-11@ DAL111668.8%
2026-04-08vs BUF111861.1%
2026-04-05vs WSH131776.5%
2026-04-04vs DET71070.0%
2026-04-02vs MTL51435.7%

Projected faceoffs won

  • 2026-10-04 vs UTA likely opponents: Vincent Trocheck (50%), Kevin Stenlund (53%)9.4 FOW 5–14
  • 2026-10-06 vs NYI likely opponents: Bo Horvat (56%), Jean-Gabriel Pageau (50%)8.5 FOW 4–13
  • 2026-10-09 vs WSH likely opponents: Dylan Strome (53%), Boone Jenner (57%)9.1 FOW 4–14
  • 2026-10-11 vs VAN likely opponents: Elias Pettersson (64%), Aatu Räty (52%)9.4 FOW 5–14

FAQ

What is J.T. Miller's faceoff percentage?

The season line above shows J.T. Miller'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 J.T. Miller win tonight?

When J.T. Miller 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 J.T. Miller 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%.