Draw Duel
Conor Garland faceoff stats, 2025-26
CBJ · R · Right shot · full player page
Model rating
38.8%
90%: 32.9%–45.1% vs an average regular, on 61 draws since 2023-24
2025-26 FO%
42.4%
14 won of 33 (regular season)
Strong / weak side
35.0% / 57.1%
20 strong-side, 7 weak-side draws this season
Next game
No projection scheduled.
Where Garland wins draws
Win % at every dot, 2025-26 and 2024-25 regular season, in his own attacking direction.
Show as a table
| Dot | Draws | Won | FO% |
|---|---|---|---|
| OZ left | 11 | 4 | 36.4% |
| OZ right | 16 | 6 | 37.5% |
| NZ left (att.) | 1 | 1 | 100.0% |
| NZ right (att.) | 1 | 0 | 0.0% |
| Centre | 6 | 3 | 50.0% |
| NZ left (def.) | 2 | 1 | 50.0% |
| NZ right (def.) | 2 | 0 | 0.0% |
| DZ left | 2 | 1 | 50.0% |
| DZ right | 10 | 3 | 30.0% |
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
- Claude Giroux OTT · R31.2%
- Aatu Räty VAN · L31.3%
- Jean-Gabriel Pageau NYI · R32.0%
- J.T. Miller NYR · L32.2%
- Auston Matthews TOR · L32.4%
- Jack Drury NSH · L32.5%
Easiest
- Jack Hughes NJD · L51.8%
- Noah Ostlund BUF · L51.4%
- Trevor Zegras PHI · L50.3%
- Danila Yurov MIN · L48.5%
- Pavel Buchnevich STL · L48.2%
- Calum Ritchie NYI · R48.1%
Splits by season
| Season | All | EV | PP | PK | OZ | NZ | DZ | Strong | Weak |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | 42.4% 33 | 45.5% 22 | 50.0% 4 | 28.6% 7 | 42.9% 14 | 50.0% 10 | 33.3% 9 | 35.0% 20 | 57.1% 7 |
| 2024-25 | 27.8% 18 | 30.8% 13 | 20.0% 5 | — 0 | 30.8% 13 | 0.0% 2 | 33.3% 3 | 22.2% 9 | 33.3% 9 |
| 2023-24 | 20.0% 10 | 25.0% 8 | 0.0% 2 | — 0 | 40.0% 5 | 0.0% 3 | 0.0% 2 | 14.3% 7 | 100.0% 1 |
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.
| Opponent | Record | Raw | Model | Blended | Unusual? |
|---|---|---|---|---|---|
| Jack Drury | 2–1 | 66.7% | 31.1% | 31.3% | a bit unusual (z 1.3) |
| Shane Wright | 1–1 | 50.0% | 45.6% | 45.6% | normal luck (z 0.1) |
| Cody Glass | 1–1 | 50.0% | 37.7% | 37.7% | normal luck (z 0.4) |
| Phillip Danault | 0–2 | 0.0% | 33.8% | 33.7% | a bit unusual (z -1.0) |
| Jack Eichel | 1–1 | 50.0% | 37.3% | 37.3% | normal luck (z 0.4) |
| Erik Haula | 0–2 | 0.0% | 37.5% | 37.4% | a bit unusual (z -1.1) |
| Nazem Kadri | 1–1 | 50.0% | 40.5% | 40.5% | normal luck (z 0.3) |
| Sebastian Aho | 0–2 | 0.0% | 37.6% | 37.5% | a bit unusual (z -1.1) |
| Christian Dvorak | 1–1 | 50.0% | 35.2% | 35.2% | normal luck (z 0.4) |
| Nic Dowd | 1–1 | 50.0% | 35.9% | 35.9% | normal luck (z 0.4) |
| Chandler Stephenson | 1–1 | 50.0% | 34.4% | 34.4% | normal luck (z 0.5) |
| Pierre-Luc Dubois | 0–1 | 0.0% | 41.8% | 41.7% | normal luck (z -0.8) |
Last 10 games
| Date | Opp | FOW | Draws | FO% |
|---|---|---|---|---|
| 2026-04-07 | @ DET | 1 | 1 | 100.0% |
| 2026-03-21 | vs SEA | 0 | 1 | 0.0% |
| 2026-03-14 | @ PHI | 2 | 2 | 100.0% |
| 2026-03-02 | vs DAL | 0 | 1 | 0.0% |
| 2026-02-28 | @ SEA | 0 | 1 | 0.0% |
| 2026-01-27 | vs SJS | 1 | 1 | 100.0% |
| 2026-01-23 | vs NJD | 1 | 2 | 50.0% |
| 2026-01-21 | vs WSH | 3 | 3 | 100.0% |
| 2025-12-29 | @ SEA | 1 | 1 | 100.0% |
| 2025-12-22 | @ PHI | 0 | 1 | 0.0% |
Projected faceoffs won
No upcoming games projected.
FAQ
What is Conor Garland's faceoff percentage?
The season line above shows Conor Garland'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 Conor Garland win tonight?
When Conor Garland 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 Conor Garland 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%.