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Ice Lab

Left wing · #20

Jason Chimera

Columbus Blue Jackets Washington Capitals New York Islanders Anaheim Ducks(traded during the season)
Age
47
Shoots
Left
Height
191 cm
Weight
98 kg
Born
Edmonton, CAN
Draft
1997, round 5, #121 (EDM)

Career · 2009–10 to 2017–18

Games
685
Goals
113
Points
260
TOI per game
13:23
xGF% (5v5)
47.2%
Goals above expected
+1.5
ShowAll teamsColumbus Blue JacketsWashington CapitalsNew York IslandersAnaheim Ducks

Season by season

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

2009–10CBJ398917−714:47928.7%15.9–
2009–10WSH3971017+612:366810.3%06.1–
2009–10All teams78151934−113:421609.4%112.0–
2010–11WSH81101626−1013:151626.2%314.444.8%
2011–12WSH82201939+414:262059.8%118.950.0%
2012–13WSH4731114−512:40923.3%05.943.7%
2013–14WSH82152742+415:251679.0%516.749.7%
2014–15WSH7771219−112:56967.3%08.949.4%
2015–16WSH82202040014:0316512.1%917.249.6%
2016–17NYI82201333+113:0412116.5%011.345.0%
2017–18NYI582911−1111:13702.9%05.843.9%
2017–18ANA16112−16:59911.1%00.541.4%
2017–18All teams7431013−1210:18793.8%06.343.5%
Total4 teams685113147260−2013:231,2479.1%19111.547.2%

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)
00.20.40.60.811.2100200300400500600
6m8m10m12m14m16m18m100200300400500600Game

Player card

Model-based

How 2009–10 to 2017–18 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

3rd line

40th 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

2nd line
  • Goals /600.7462nd pct
  • Assists /600.9660th pct
  • ixG /600.7358th pct
  • Goals above expected+1.568th pct

Play-driving

4th line
  • xGF% (5v5)47.2%31st pct
  • CF% (5v5)47.3%31st pct
  • Relative xGF%−3.426th pct
  • Penalty diff /60-0.2316th pct

Usage

3rd line
  • TOI per game13:2349th pct
  • PP time share11.6%41st pct
  • Offensive zone starts50.5%34th pct
  • Quality of competition23.8%40th 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. Oscar LindbergNYR/VGK0.68
  2. Dave DziurzynskiOTT0.67
  3. Gilbert BruleEDM0.67
  4. Ryan GarbuttDAL/ANA0.65
  5. Matthew LombardiPHX/TOR0.61
  6. Shawn MatthiasFLA/VAN/TOR/COL/WPG0.61

Faceoffs

How often Chimera wins the draw over 2009–10 to 2017–18, against whom and where, and what a win leads to. Ranked among players with 1739+ draws over the same seasons.

Win rate

48.6%

209–221 · below the 1739 draws of a regular

Against an average centre

48.3%

Opponents won 49.7% of their draws; an average centre would have won 50.3% against them.

Wins above average

−7

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

Draws per game

1.5

430 draws in all.

By dot, attacking to the right

50%34 · +0.645%92 · +1.042%38 · +2.358%24 · +1.071%7 · +1.741%34 · −0.531%16 · −0.559%142 · +4.730%43 · +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 zone43.8% 57–73
  • Neutral zone47.4% 54–60
  • Defensive zone52.7% 98–88

By strength

  • Even strength51.6% 143–134
  • Power play47.1% 8–9
  • Shorthanded42.2% 57–78

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +14 after a win, −21 after a loss. Each win was worth 1.9 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–104055.0%53.7%
2010–113951.3%52.0%
2011–126248.4%47.6%
2012–133658.3%57.7%
2013–148743.7%44.1%
2014–157656.6%56.5%
2015–162828.6%28.3%
2016–173447.1%47.1%
2017–182839.3%38.0%

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.

+1.5 goals above expected

020406080100120100200300400500600Game

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

−500+50+100