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Ice Lab

Right wing · #23

David Clarkson

New Jersey Devils Toronto Maple Leafs Columbus Blue Jackets(traded during the season)
Age
42
Shoots
Right
Height
183 cm
Weight
94 kg
Born
Toronto, CAN
Draft
Undrafted

Career · 2009–10 to 2015–16

Games
118
Goals
15
Points
26
TOI per game
14:30
xGF% (5v5)
42.6%
Goals above expected
−6.4
ShowAll teamsNew Jersey DevilsToronto Maple LeafsColumbus Blue Jackets

Season by season

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

2009–10NJD46111324+314:2710610.4%612.5–
2010–11NJD8212618−2013:371926.3%215.349.9%
2011–12NJD80301646−816:2222813.2%1625.053.8%
2012–13NJD4815924−617:361808.3%820.962.4%
2013–14TOR605611−1415:061024.9%29.540.0%
2014–15TOR5810515−1113:539310.8%111.945.7%
2014–15CBJ3000−112:1820.0%00.336.9%
2014–15All teams6110515−1213:489510.5%112.245.2%
2015–16CBJ23224−89:13248.3%03.043.6%
Total3 teams4008557142−6514:449279.2%3598.349.4%

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)
00.10.20.30.40.50.620406080100
10m12m14m16m18m20406080100Game

Player card

Model-based

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

3rd line

49th 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 /600.8777th pct
  • Assists /600.5823rd pct
  • ixG /601.0092nd pct
  • Goals above expected−13.36th pct

Play-driving

3rd line
  • xGF% (5v5)49.4%52nd pct
  • CF% (5v5)49.4%49th pct
  • Relative xGF%+1.064th pct
  • Penalty diff /60-0.2019th pct

Usage

2nd line
  • TOI per game14:4461st pct
  • PP time share39.1%74th pct
  • Offensive zone starts60.5%64th pct
  • Quality of competition23.8%41st 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).

Most similar players this season

  1. Anders LeeNYI0.85
  2. Chad LaRoseCAR0.84
  3. Evander KaneATL/WPG0.83
  4. Brett Ritchie0.80
  5. Nick BjugstadFLA0.79
  6. Rene BourqueCGY/MTL/ANA/CBJ0.79

Faceoffs

How often Clarkson wins the draw over 2009–10 to 2015–16, against whom and where, and what a win leads to. Ranked among players with 1339+ draws over the same seasons.

Win rate

38.3%

168–271 · below the 1339 draws of a regular

Against an average centre

38.9%

Opponents won 50.6% of their draws; an average centre would have won 49.4% against them.

Wins above average

−49

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

Draws per game

2.2

439 draws in all.

By dot, attacking to the right

38%13 · −3.119%21 · −1.241%282 · +1.10%2 · –24%25 · −2.867%3 · 0.033%12 · +1.533%12 · +1.639%69 · +0.6Attacking 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 zone39.6% 120–183
  • Neutral zone30.9% 17–38
  • Defensive zone38.3% 31–50

By strength

  • Even strength36.4% 95–166
  • Power play41.1% 72–103
  • Shorthanded50.0% 1–1

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +21 after a win, −2 after a loss. Each win was worth 0.8 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–102030.0%30.8%
2010–114542.2%43.4%
2011–1224342.0%42.6%
2012–132524.0%23.7%
2013–142138.1%38.8%
2014–157334.2%34.6%
2015–161216.7%17.5%

Finishing

Model-based

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.

−6.4 goals above expected

0510152020406080100Game

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

−500+50+100