Edgehalla

Draw Duel

Patrick Giles faceoff stats, 2025-26

SJS · R · Right shot · full player page

Model rating

39.3%

90%: 33.7%–45.3% vs an average regular, on 112 draws since 2023-24

2025-26 FO%

60.0%

9 won of 15 (regular season)

Strong / weak side

70.0% / 25.0%

10 strong-side, 4 weak-side draws this season

Next game

No projection scheduled.

Where Giles wins draws

Win % at every dot, 2025-26 and 2024-25 regular season, in his own attacking direction.

40% · 1030% · 23— · 3— · 225% · 24— · 5— · 318% · 1158% · 31
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
Patrick Giles faceoff win % by dot
DotDrawsWonFO%
OZ left10440.0%
OZ right23730.4%
NZ left (att.)3133.3%
NZ right (att.)200.0%
Centre24625.0%
NZ left (def.)5240.0%
NZ right (def.)3266.7%
DZ left11218.2%
DZ right311858.1%

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
2025-2660.0% 1560.0% 15— 0— 050.0% 2100.0% 254.5% 1170.0% 1025.0% 4
2024-2534.0% 9733.7% 920.0% 150.0% 432.3% 3125.7% 3545.2% 3140.8% 4932.0% 25

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?
Kyle MacLean2–528.6%40.6%40.4%normal luck (z -0.6)
Max Domi2–528.6%39.6%39.4%normal luck (z -0.6)
Mika Zibanejad2–340.0%33.9%33.9%normal luck (z 0.3)
Ryan McLeod3–260.0%39.4%39.6%normal luck (z 0.9)
Zakhar Bardakov4–0100.0%49.7%50.1%unusual (z 2.0)
Cole Schwindt2–250.0%45.5%45.5%normal luck (z 0.2)
Michael McCarron2–250.0%40.9%41.0%normal luck (z 0.4)
John Beecher2–166.7%39.7%39.9%normal luck (z 1.0)
Matthew Poitras0–30.0%40.7%40.4%a bit unusual (z -1.4)
Luke Glendening1–233.3%32.3%32.3%normal luck (z 0.0)
Bo Horvat0–30.0%34.7%34.5%a bit unusual (z -1.3)
Sam Carrick1–233.3%34.5%34.5%normal luck (z -0.0)

Last 10 games

Faceoffs taken and won in his last ten games.
DateOppFOWDrawsFO%
2025-11-01vs COL4757.1%
2025-10-30vs NJD5862.5%
2025-03-29vs NYR4944.4%
2025-03-27vs TOR31030.0%
2025-03-22vs BOS1520.0%
2025-03-20vs CAR2633.3%
2025-03-15vs WSH1250.0%
2025-03-13vs CHI4757.1%
2025-03-11vs NSH2540.0%
2025-03-08vs NYI2633.3%

Projected faceoffs won

No upcoming games projected.

FAQ

What is Patrick Giles's faceoff percentage?

The season line above shows Patrick Giles'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 Patrick Giles win tonight?

When Patrick Giles 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 Patrick Giles 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%.