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Ice Lab
Age
42
Shoots
Right
Height
180 cm
Weight
92 kg
Born
Canton, USA
Draft
2002, round 5, #156 (CHI)

Career · 2009–10 to 2015–16

Games
367
Goals
39
Points
207
TOI per game
22:59
xGF% (5v5)
48.5%
Goals above expected
−1.9

Season by season

The regular-season line for each season, with the total, by team for traded players.

2009–10ANA6932730−524:211462.1%97.8–
2010–11NYI3231821−1823:15714.2%133.744.7%
2010–11MTL4372330+422:43878.0%164.450.7%
2010–11All teams75104151−1422:561586.3%298.148.2%
2011–12CBJ4862127−1324:48996.1%126.144.6%
2012–13CBJ305914−122:50628.1%53.649.5%
2013–14CBJ7574451022:371664.2%297.954.4%
2014–15CBJ5682129−1021:251276.3%146.244.2%
2014–15ANA13055−320:13200.0%11.351.5%
2014–15All teams6982634−1321:111475.4%157.445.5%
2015–16CAR100000:470–00.0–
Total5 teams36739168207−4622:597785.0%9940.948.5%

Form

Rolling averages smooth out single games so the trend shows.

Form, ten-game rolling

Points and individual expected goals per game (left scale), averaged over the previous ten games. Ice time is on the second chart.

Points per gameixG per gameTOI per game (minutes)
00.511.550100150200250300350
18m20m22m24m26m28m50100150200250300350Game

Player card

How 2009–10 to 2015–16 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

1st pair

78th percentile among qualified defencemen, blending scoring 30%, play-driving 50%, usage 20%.

  1. 1st pair
  2. 2nd pair
  3. 3rd pair
  4. Extra / AHL

Scoring

1st pair
  • Goals /600.2881st pct
  • Assists /601.1996th pct
  • ixG /600.2990th pct
  • Shots /605.5389th pct

Play-driving

3rd pair
  • xGF% (5v5)48.5%39th pct
  • CF% (5v5)50.0%56th pct
  • Relative xGF%0.058th pct
  • xGA /60 (lower is better)2.4524th pct

Usage

1st pair
  • TOI per game22:5993rd pct
  • PP time share63.0%97th pct
  • PK time share28.1%52nd pct
  • Quality of competition24.6%73rd pct

Percentiles among defencemen with 200+ minutes at 5-on-5 and 20+ games. Ratings rank each column's average percentile among the same players and read it as a role on a depth chart (how).

Finishing

Did the goals match the chances?

Goals against expected goals

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.

−1.9 goals above expected

01020304050100150200250300350Game

Goals above expected, everyone at the same position with 20+ games

−100+10+20+30+40