Skip to content
Ice Lab
Age
39
Shoots
Right
Height
185 cm
Weight
98 kg
Born
Madison, USA
Draft
2005, round 1, #7 (CHI)

Career · 2009–10 to 2016–17

Games
344
Goals
39
Points
78
TOI per game
10:47
xGF% (5v5)
46.6%
Goals above expected
−10.3

Season by season

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

2009–10CHI6112−37:40911.1%01.2–
2010–11CHI4971017+310:441215.8%19.156.9%
2010–11FLA13112−1216:25333.0%03.245.3%
2010–11All teams6281119−911:551545.2%112.253.7%
2011–12FLA464610−911:58765.3%06.844.5%
2012–13FLA403912−913:19694.3%06.146.3%
2013–14CBJ16404+28:402317.4%01.444.5%
2014–15CBJ45628−1812:31956.3%06.443.7%
2015–16COL748614−48:501067.5%08.943.1%
2016–17VAN5554908:48736.8%06.346.9%
Total5 teams344393978−5010:476056.4%149.346.6%

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)
00.20.40.60.850100150200250300
6m8m10m12m14m16m18m50100150200250300Game

Player card

How 2009–10 to 2016–17 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

4th line

35th percentile among qualified forwards, blending scoring 40%, play-driving 40%, usage 20%.

  1. 1st line
  2. 2nd line
  3. 3rd line
  4. 4th line
  5. Extra / AHL

Scoring

3rd line
  • Goals /600.6347th pct
  • Assists /600.6328th pct
  • ixG /600.8071st pct
  • Goals above expected−10.311th pct

Play-driving

3rd line
  • xGF% (5v5)46.6%28th pct
  • CF% (5v5)47.6%34th pct
  • Relative xGF%−0.353rd pct
  • Penalty diff /600.5289th pct

Usage

4th line
  • TOI per game10:4720th pct
  • PP time share4.1%26th pct
  • Offensive zone starts53.6%42nd pct
  • Quality of competition23.6%33rd pct

Percentiles among forwards 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).

Faceoffs

How often Skille wins the draw over 2009–10 to 2016–17, against whom and where, and what a win leads to. Ranked among players with 1539+ draws over the same seasons.

Win rate

40.3%

29–43 · below the 1539 draws of a regular

Against an average centre

40.2%

Opponents won 49.9% of their draws; an average centre would have won 50.1% against them.

Wins above average

−7

Draws won beyond what an average centre facing the same opponents would have won.

Draws per game

1.2

72 draws in all.

By dot, attacking to the right

33%3 · −0.929%7 · +1.052%29 · +1.70%3 · –60%5 · −4.90%1 · –50%4 · 0.00%2 · –33%18 · +5.2Attacking zone →← Defending zone

Win rate at each dot; the small numbers are draws and the xG swing (×100) of winning rather than losing there.

By zone

  • Offensive zone47.2% 17–19
  • Neutral zone37.5% 6–10
  • Defensive zone30.0% 6–14

By strength

  • Even strength42.4% 28–38
  • Power play50.0% 1–1
  • Shorthanded0.0% 0–4

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +17 after a win, −7 after a loss. Each win was worth 2.1 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2010–111030.0%32.9%
2011–121650.0%49.7%
2012–131650.0%48.7%
2013–141100.0%99.0%
2014–15837.5%38.2%
2015–161921.1%20.2%
2016–172100.0%102.0%

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.

−10.3 goals above expected

0102030405050100150200250300Game

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

−500+50+100