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Ice Lab

Left wing · #89

Mikkel Boedker

Phoenix Coyotes Arizona Coyotes Colorado Avalanche San Jose Sharks Ottawa Senators(traded during the season)
Age
36
Shoots
Left
Height
180 cm
Weight
94 kg
Born
Brondby, DNK
Draft
2008, round 1, #8 (PHX)

Career · 2009–10 to 2019–20

Games
631
Goals
107
Points
299
TOI per game
15:07
xGF% (5v5)
45.4%
Goals above expected
+6.5

Season by season

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

2009–10PHX14123+28:43714.3%00.7–
2010–11PHX3441014+1110:543910.3%23.646.6%
2011–12PHX82111324−213:388612.8%110.146.2%
2012–13PHX4871926018:29838.4%79.249.3%
2013–14PHX82193251−917:2516611.4%1615.143.1%
2014–15ARI45141428−1017:297917.7%128.142.4%
2015–16ARI62132639−2818:391449.0%1813.443.8%
2015–16COL184812−518:072218.2%12.342.0%
2015–16All teams80173451−3318:3216610.2%1915.643.4%
2016–17SJS81101626014:211228.2%114.552.1%
2017–18SJS74152237013:2111912.6%812.348.7%
2018–19OTT7172835−2314:01888.0%78.538.4%
2019–20OTT20224−19:43296.9%02.738.5%
Total5 teams631107192299−6515:0798410.9%73100.545.4%

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)
00.20.40.60.811.2100200300400500600
10m15m20m100200300400500600Game

Player card

Model-based

How 2009–10 to 2019–20 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

2nd line

59th 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 /600.6753rd pct
  • Assists /601.2179th pct
  • ixG /600.6339th pct
  • Goals above expected+6.583rd pct

Play-driving

4th line
  • xGF% (5v5)45.4%19th pct
  • CF% (5v5)47.0%28th pct
  • Relative xGF%−3.923rd pct
  • Penalty diff /600.5390th pct

Usage

2nd line
  • TOI per game15:0768th pct
  • PP time share38.6%74th pct
  • Offensive zone starts64.7%78th pct
  • Quality of competition24.6%74th 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. Linus OmarkEDM0.86
  2. Sven BaertschiCGY/VAN0.83
  3. Marcus JohanssonWSH/NJD0.80
  4. Martin Necas0.78
  5. Kaapo KakkoNYR0.78
  6. Tyler BertuzziDET0.77

Faceoffs

How often Boedker wins the draw over 2009–10 to 2019–20, against whom and where, and what a win leads to. Ranked among players with 2117+ draws over the same seasons.

Win rate

30.3%

27–62 · below the 2117 draws of a regular

Against an average centre

30.3%

Opponents won 50.0% of their draws; an average centre would have won 50.0% against them.

Wins above average

−17

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

Draws per game

1.1

89 draws in all.

By dot, attacking to the right

71%7 · −5.837%30 · +1.89%23 · −0.9100%1 · –0%2 · –17%6 · 0.00%1 · –25%12 · +0.757%7 · +13.1Attacking 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 zone24.5% 13–40
  • Neutral zone41.2% 7–10
  • Defensive zone36.8% 7–12

By strength

  • Even strength33.3% 24–48
  • Power play13.3% 2–13
  • Shorthanded50.0% 1–1

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +15 after a win, −5 after a loss. Each win was worth 0.6 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2010–11560.0%60.0%
2011–12250.0%52.2%
2012–13119.1%9.5%
2013–14742.9%41.5%
2014–1520.0%1.8%
2015–16333.3%27.9%
2016–171827.8%27.4%
2017–181926.3%27.3%
2018–191838.9%39.9%
2019–20425.0%20.9%

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.

+6.5 goals above expected

020406080100120100200300400500600Game

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

−500+50+100+150