- Age
- 52
- Shoots
- Right
- Height
- 178 cm
- Weight
- 89 kg
- Born
- Toronto, CAN
- Draft
- Undrafted
2009–10
- Games
- 69
- Goals
- 16
- Points
- 29
- TOI per game
- 13:34
- xGF% (5v5)
- –
- Goals above expected
- +5.3
Season
The regular-season line, by team for traded players.
| 2009–10 |   MTL | 69 | 16 | 13 | 29 | −1 | 13:34 | 115 | 13.9% | 13 | 10.7 | – |
Form
Rolling averages smooth out single games so the trend shows.
Points and individual expected goals per game (left scale), averaged over the previous ten games. Ice time is on the second chart.
Player card
How this season compares with everyone else at the position, and the players with the most similar profile.
Scoring
- Goals /601.03
- Assists /600.83
- ixG /600.68
- Goals above expected+5.3
Play-driving
- xGF% (5v5)–
- CF% (5v5)–
- Relative xGF%–
- Penalty diff /600.00
Usage
- TOI per game13:34
- PP time share–
- Offensive zone starts–
- Quality of competition–
Percentiles among forwards with 200+ minutes at 5-on-5 and 20+ games. This player is below the threshold, so the percentiles and ratings are for reference only.
Most similar players this season
Needs a regular role to compare.
Faceoffs
How often Metropolit wins the draw this season, against whom and where, and what a win leads to. Ranked among players with 202+ draws over the same seasons.
Win rate
49.5%
327–334 · #94 of 163 regulars, 43rd percentile
Against an average centre
49.3%
Opponents won 49.9% of their draws; an average centre would have won 50.1% against them.
Wins above average
−4
Draws won beyond what an average centre facing the same opponents would have won.
Draws per game
9.7
661 draws in all.
By dot, attacking to the right
Win rate at each dot; the small numbers are draws and the xG swing (×100) of winning rather than losing there.
By zone
- Offensive zone48.3% 97–104
- Neutral zone48.9% 110–115
- Defensive zone51.1% 120–115
By strength
- Even strength49.1% 288–299
- Power play42.4% 14–19
- Shorthanded57.6% 19–14
What a win leads to
Shot attempts in the next 20 seconds, for minus against, per 100 draws: +12 after a win, −15 after a loss. Each win was worth 1.2 expected goals per 100 draws more than a loss.
Most-faced opponents
- Chris Kelly36.4% 12–21
- Mike Richards55.0% 11–9
- Marc Savard68.8% 11–5
- Steve Begin26.7% 4–11
- Wayne Primeau28.6% 4–10
- Nate Thompson50.0% 7–7
- Mikhail Grabovski53.8% 7–6
- Brendan Morrison30.8% 4–9
Cumulative goals (solid) and individual xG (dashed) through the season. The gap is finishing: above the dashed line, the player scored more than an average shooter would from the same chances.
+5.3 goals above expected
Goals above expected, everyone at the same position with 20+ games