Draw Duel
Fedor Svechkov faceoff stats, 2025-26
COL · C · Left shot · full player page
Model rating
41.6%
90%: 39.0%–44.3% vs an average regular, on 897 draws since 2023-24
2025-26 FO%
42.8%
235 won of 549 (regular season)
Strong / weak side
48.0% / 37.8%
246 strong-side, 188 weak-side draws this season
Next game
2.9 FOW
2026-10-07 vs WPG: 6 draws at 44.8%, range 0–5
Where Svechkov wins draws
Win % at every dot, 2025-26 regular season, in his own attacking direction.
Show as a table
| Dot | Draws | Won | FO% |
|---|---|---|---|
| OZ left | 128 | 60 | 46.9% |
| OZ right | 59 | 22 | 37.3% |
| NZ left (att.) | 19 | 11 | 57.9% |
| NZ right (att.) | 18 | 9 | 50.0% |
| Centre | 115 | 46 | 40.0% |
| NZ left (def.) | 21 | 7 | 33.3% |
| NZ right (def.) | 25 | 10 | 40.0% |
| DZ left | 78 | 40 | 51.3% |
| DZ right | 86 | 30 | 34.9% |
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 · R33.4%
- Aatu Räty VAN · L34.0%
- Jean-Gabriel Pageau NYI · R34.4%
- Vincent Trocheck UTA · R34.8%
- J.T. Miller NYR · L35.0%
- Auston Matthews TOR · L35.2%
Easiest
- Jack Hughes NJD · L54.6%
- Noah Ostlund BUF · L54.3%
- Trevor Zegras PHI · L53.2%
- Danila Yurov MIN · L51.4%
- Pavel Buchnevich STL · L51.1%
- Calum Ritchie NYI · R51.0%
Splits by season
| Season | All | EV | PP | PK | OZ | NZ | DZ | Strong | Weak |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | 38.5% 13 | 41.7% 12 | — 0 | 0.0% 1 | 33.3% 3 | 33.3% 3 | 42.9% 7 | 50.0% 10 | 0.0% 2 |
| 2025-26 | 42.8% 549 | 42.8% 538 | 33.3% 3 | 50.0% 8 | 43.9% 187 | 41.9% 198 | 42.7% 164 | 48.0% 246 | 37.8% 188 |
| 2024-25 | 36.7% 335 | 36.8% 318 | 42.9% 14 | 0.0% 3 | 38.1% 139 | 36.2% 130 | 34.8% 66 | 38.2% 170 | 27.5% 91 |
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? |
|---|---|---|---|---|---|
| Kevin Stenlund | 7–10 | 41.2% | 36.6% | 36.7% | normal luck (z 0.4) |
| Shane Pinto | 3–13 | 18.8% | 40.8% | 40.1% | a bit unusual (z -1.8) |
| Leo Carlsson | 9–6 | 60.0% | 49.1% | 49.4% | normal luck (z 0.8) |
| Jake Evans | 5–9 | 35.7% | 37.3% | 37.3% | normal luck (z -0.1) |
| Jack McBain | 6–8 | 42.9% | 41.6% | 41.6% | normal luck (z 0.1) |
| Jason Dickinson | 4–9 | 30.8% | 40.6% | 40.3% | normal luck (z -0.7) |
| Zack Ostapchuk | 2–10 | 16.7% | 40.2% | 39.6% | a bit unusual (z -1.7) |
| Nicolas Roy | 5–7 | 41.7% | 43.8% | 43.8% | normal luck (z -0.1) |
| Nick Foligno | 4–8 | 33.3% | 43.1% | 42.8% | normal luck (z -0.7) |
| Jonathan Toews | 5–6 | 45.5% | 32.1% | 32.4% | normal luck (z 0.9) |
| Nic Dowd | 4–7 | 36.4% | 41.9% | 41.8% | normal luck (z -0.4) |
| Ryan Poehling | 6–5 | 54.5% | 41.4% | 41.6% | normal luck (z 0.9) |
Last 10 games
| Date | Opp | FOW | Draws | FO% |
|---|---|---|---|---|
| 2026-10-03 | vs STL | 4 | 6 | 66.7% |
| 2026-09-30 | vs LAK | 1 | 7 | 14.3% |
| 2026-04-16 | vs ANA | 7 | 15 | 46.7% |
| 2026-04-13 | vs SJS | 1 | 4 | 25.0% |
| 2026-04-11 | vs MIN | 5 | 8 | 62.5% |
| 2026-04-09 | @ UTA | 5 | 12 | 41.7% |
| 2026-04-07 | @ ANA | 6 | 10 | 60.0% |
| 2026-04-06 | @ LAK | 3 | 6 | 50.0% |
| 2026-04-04 | @ SJS | 3 | 6 | 50.0% |
| 2026-04-02 | @ LAK | 3 | 7 | 42.9% |
Projected faceoffs won
- 2026-10-07 vs WPG likely opponents: Adam Lowry (41%), Jonathan Toews (37%)2.9 FOW 0–5
- 2026-10-08 vs CGY likely opponents: Mikael Backlund (44%), Morgan Frost (42%)2.9 FOW 1–5
- 2026-10-10 vs TOR likely opponents: John Tavares (37%), Auston Matthews (38%)2.6 FOW 0–5
FAQ
What is Fedor Svechkov's faceoff percentage?
The season line above shows Fedor Svechkov'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 Fedor Svechkov win tonight?
When Fedor Svechkov 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 Fedor Svechkov 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%.