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Ice Lab

Centre · #34

Carl Soderberg

Boston Bruins Colorado Avalanche Arizona Coyotes Chicago Blackhawks(traded during the season)
Age
40
Shoots
Left
Height
191 cm
Weight
95 kg
Born
Malmo, SWE
Draft
2004, round 2, #49 (STL)

Career · 2012–13 to 2020–21

Games
161
Goals
29
Points
94
TOI per game
15:35
xGF% (5v5)
51.5%
Goals above expected
−2.9
ShowAll teamsBoston BruinsColorado AvalancheArizona CoyotesChicago Blackhawks

Season by season

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

2012–13BOS6022−214:4460.0%00.651.4%
2013–14BOS73163248+414:1612912.4%1614.152.9%
2014–15BOS82133144+1016:491638.0%817.250.6%
2015–16COL82123951−718:011637.4%1419.544.2%
2016–17COL806814−2613:271284.7%210.541.1%
2017–18COL77162137017:2115010.7%515.944.4%
2018–19COL82232649−517:2718812.2%1021.851.1%
2019–20ARI70171835+615:5413512.6%1116.149.7%
2020–21CHI347815−515:024117.1%55.040.6%
2020–21COL11022012:31200.0%01.452.7%
2020–21All teams4571017−514:256111.5%56.443.1%
Total4 teams597110187297−2516:041,1239.8%71122.247.6%

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)
00.20.40.60.8120406080100120140160
13m14m15m16m17m18m20406080100120140160Game

Player card

Model-based

How 2012–13 to 2020–21 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

3rd line

55th 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 /600.6958th pct
  • Assists /601.1778th pct
  • ixG /600.7666th pct
  • Goals above expected−12.27th pct

Play-driving

4th line
  • xGF% (5v5)47.6%36th pct
  • CF% (5v5)48.1%39th pct
  • Relative xGF%−1.047th pct
  • Penalty diff /600.0748th pct

Usage

2nd line
  • TOI per game16:0477th pct
  • PP time share35.0%71st pct
  • Offensive zone starts48.0%31st pct
  • Quality of competition24.1%57th 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. Frans NielsenNYI/DET0.92
  2. Bo HorvatVAN0.90
  3. Ryan O'ReillyCOL/BUF/STL0.89
  4. Tyler BozakTOR/STL0.87
  5. Derek StepanNYR/ARI0.84
  6. Ryan Nugent-HopkinsEDM0.84

Faceoffs

How often Soderberg wins the draw over 2012–13 to 2020–21, against whom and where, and what a win leads to. Ranked among players with 1646+ draws over the same seasons.

Win rate

47.9%

2618–2851 · #144 of 192 regulars, 25th percentile

Against an average centre

47.9%

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

Wins above average

−115

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

Draws per game

9.6

5,469 draws in all.

By dot, attacking to the right

50%1035 · +0.752%1032 · +1.539%421 · +1.555%251 · +0.645%154 · +0.854%290 · +0.943%174 · +1.348%1408 · +1.238%704 · +1.8Attacking 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 zone48.4% 704–751
  • Neutral zone50.6% 963–941
  • Defensive zone45.1% 951–1159

By strength

  • Even strength48.3% 2148–2296
  • Power play53.1% 225–199
  • Shorthanded40.8% 245–356

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +8 after a win, −19 after a loss. Each win was worth 1.2 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2012–131353.8%50.6%
2013–1432842.4%41.7%
2014–1576648.2%47.6%
2015–1671947.1%47.4%
2016–1770252.0%51.4%
2017–1893945.3%45.6%
2018–19107049.3%50.0%
2019–2054145.3%45.3%
2020–2139151.4%51.5%

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.

−2.9 goals above expected

010203020406080100120140160Game

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

−500+50+100