Draw Duel
Brad Lambert faceoff stats, 2025-26
WPG · C · Right shot · full player page
Model rating
—
Only 36 draws in the last four seasons: too few for a rating.
2025-26 FO%
28.6%
4 won of 14 (regular season)
Strong / weak side
30.0% / 0.0%
10 strong-side, 3 weak-side draws this season
Next game
0.3 FOW
2026-10-04 vs DET: 1 draws at 40.9%, range 0–1
Where Lambert 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 | 6 | 1 | 16.7% |
| OZ right | 14 | 6 | 42.9% |
| NZ left (att.) | 0 | 0 | — |
| NZ right (att.) | 3 | 1 | 33.3% |
| Centre | 4 | 1 | 25.0% |
| NZ left (def.) | 0 | 0 | — |
| NZ right (def.) | 1 | 0 | 0.0% |
| DZ left | 0 | 0 | — |
| DZ right | 1 | 0 | 0.0% |
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 · R30.3%
- Aatu Räty VAN · L30.4%
- Jean-Gabriel Pageau NYI · R31.1%
- J.T. Miller NYR · L31.3%
- Auston Matthews TOR · L31.5%
- Jack Drury NSH · L31.5%
Easiest
- Jack Hughes NJD · L50.7%
- Noah Ostlund BUF · L50.3%
- Trevor Zegras PHI · L49.2%
- Danila Yurov MIN · L47.5%
- Pavel Buchnevich STL · L47.1%
- Calum Ritchie NYI · R47.0%
Splits by season
| Season | All | EV | PP | PK | OZ | NZ | DZ | Strong | Weak |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | 28.6% 14 | 22.2% 9 | 40.0% 5 | — 0 | 30.0% 10 | 33.3% 3 | 0.0% 1 | 30.0% 10 | 0.0% 3 |
| 2024-25 | 33.3% 15 | 30.8% 13 | 50.0% 2 | — 0 | 40.0% 10 | 20.0% 5 | — 0 | 44.4% 9 | 33.3% 3 |
| 2023-24 | 42.9% 7 | 42.9% 7 | — 0 | — 0 | 50.0% 2 | 0.0% 2 | 66.7% 3 | 66.7% 3 | 25.0% 4 |
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? |
|---|---|---|---|---|---|
| Radek Faksa | 1–2 | 33.3% | 34.1% | 34.1% | normal luck (z -0.0) |
| Robert Thomas | 1–2 | 33.3% | 32.9% | 32.9% | normal luck (z 0.0) |
| Frederick Gaudreau | 0–2 | 0.0% | 34.6% | 34.4% | a bit unusual (z -1.0) |
| Pavel Buchnevich | 2–0 | 100.0% | 45.6% | 45.9% | a bit unusual (z 1.5) |
| Christian Dvorak | 0–2 | 0.0% | 35.7% | 35.6% | a bit unusual (z -1.1) |
| Sam Lafferty | 1–1 | 50.0% | 33.5% | 33.6% | normal luck (z 0.5) |
| Elias Lindholm | 0–2 | 0.0% | 26.5% | 26.4% | normal luck (z -0.8) |
| Zack Ostapchuk | 1–1 | 50.0% | 37.3% | 37.4% | normal luck (z 0.4) |
| Lukas Reichel | 0–2 | 0.0% | 45.6% | 45.4% | a bit unusual (z -1.3) |
| Ben Meyers | 0–1 | 0.0% | 34.3% | 34.3% | normal luck (z -0.7) |
| Cole Sillinger | 1–0 | 100.0% | 39.5% | 39.6% | a bit unusual (z 1.2) |
| Brett Howden | 0–1 | 0.0% | 37.5% | 37.4% | normal luck (z -0.8) |
Last 10 games
| Date | Opp | FOW | Draws | FO% |
|---|---|---|---|---|
| 2026-04-16 | vs SJS | 1 | 2 | 50.0% |
| 2026-04-14 | @ UTA | 0 | 1 | 0.0% |
| 2026-04-13 | @ VGK | 1 | 1 | 100.0% |
| 2026-04-11 | vs PHI | 0 | 3 | 0.0% |
| 2026-04-09 | @ STL | 2 | 2 | 100.0% |
| 2026-04-06 | vs SEA | 0 | 2 | 0.0% |
| 2026-03-28 | @ COL | 0 | 1 | 0.0% |
| 2026-03-24 | vs VGK | 0 | 1 | 0.0% |
| 2025-10-23 | vs SEA | 0 | 1 | 0.0% |
| 2024-12-08 | vs CBJ | 2 | 2 | 100.0% |
Projected faceoffs won
- 2026-10-04 vs DET likely opponents: Andrew Copp (35%), J.T. Compher (41%)0.3 FOW 0–1
- 2026-10-05 vs PIT likely opponents: Sidney Crosby (33%), Ben Kindel (46%)0.3 FOW 0–1
- 2026-10-07 vs COL likely opponents: Brock Nelson (39%), Nathan MacKinnon (41%)0.3 FOW 0–1
- 2026-10-09 vs ANA likely opponents: Tim Washe (32%), Mikael Granlund (41%)0.3 FOW 0–1
FAQ
What is Brad Lambert's faceoff percentage?
The season line above shows Brad Lambert'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 Brad Lambert win tonight?
When Brad Lambert 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 Brad Lambert 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%.