Skip to content
Ice Lab

Defence · #6

Klas Dahlbeck

Chicago Blackhawks Arizona Coyotes Carolina Hurricanes(traded during the season)
Age
35
Shoots
Left
Height
191 cm
Weight
94 kg
Born
Katrineholm, SWE
Draft
2011, round 3, #79 (CHI)

Career · 2014–15 to 2017–18

Games
170
Goals
6
Points
23
TOI per game
15:39
xGF% (5v5)
42.5%
Goals above expected
−0.5
ShowAll teamsChicago BlackhawksArizona CoyotesCarolina Hurricanes

Season by season

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

2014–15CHI4101−110:24425.0%00.341.1%
2014–15ARI19033−719:11160.0%00.940.8%
2014–15All teams23134−817:40205.0%01.240.8%
2015–16ARI71268−515:44643.1%01.740.5%
2016–17CAR43246−1213:53375.4%02.143.3%
2017–18CAR33145−616:22432.3%01.445.6%
Total3 teams17061723−3115:391643.7%06.542.5%

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)
00.10.20.30.420406080100120140160
12m14m16m18m20m22m20406080100120140160Game

Player card

Model-based

How 2014–15 to 2017–18 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

Extra / AHL

5th percentile among qualified defencemen, blending scoring 30%, play-driving 50%, usage 20%.

  1. 1st pair
  2. 2nd pair
  3. 3rd pair
  4. Extra / AHL

Scoring

3rd pair
  • Goals /600.1437th pct
  • Assists /600.3816th pct
  • ixG /600.1529th pct
  • Shots /603.7038th pct

Play-driving

Extra / AHL
  • xGF% (5v5)42.5%5th pct
  • CF% (5v5)46.0%13th pct
  • Relative xGF%−7.62nd pct
  • xGA /60 (lower is better)2.5614th pct

Usage

3rd pair
  • TOI per game15:3924th pct
  • PP time share2.0%22nd pct
  • PK time share35.3%60th pct
  • Quality of competition23.4%15th pct

Percentiles among defencemen 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. Stephane Robidas0.94
  2. Brett LernoutMTL0.91
  3. Nikita ZadorovBUF/COL0.91
  4. Mark FraserNJD0.90
  5. Nikita Tryamkin0.90
  6. Chris Summers0.89

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.

−0.5 goals above expected

024620406080100120140160Game

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

−100+10+20+30