Skip to content
Ice Lab

Defence · #5

Oscar Fantenberg

Los Angeles Kings Calgary Flames Vancouver Canucks(traded during the season)
Age
35
Shoots
Left
Height
183 cm
Weight
93 kg
Born
Ljunby, SWE
Draft
Undrafted

Career · 2017–18 to 2019–20

Games
73
Goals
4
Points
12
TOI per game
15:24
xGF% (5v5)
47.2%
Goals above expected
0.0
ShowAll teamsLos Angeles KingsCalgary FlamesVancouver Canucks

Season by season

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

2017–18LAK27279+214:16336.1%41.942.7%
2018–19LAK46213−216:03543.7%02.149.7%
2018–19CGY15011+515:50160.0%00.856.7%
2018–19All teams61224+316:00702.9%02.951.5%
2019–20VAN36156−1015:55452.2%11.443.1%
Total3 teams12451419−515:361483.4%56.247.4%

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)
00.10.20.30.40.510203040506070
12m14m16m18m20m10203040506070Game

Player card

Model-based

How 2017–18 to 2019–20 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

3rd pair

30th 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 /600.1638th pct
  • Assists /600.4319th pct
  • ixG /600.1945th pct
  • Shots /604.5958th pct

Play-driving

3rd pair
  • xGF% (5v5)47.4%27th pct
  • CF% (5v5)47.6%26th pct
  • Relative xGF%−1.932nd pct
  • xGA /60 (lower is better)2.2084th pct

Usage

3rd pair
  • TOI per game15:3625th pct
  • PP time share12.1%59th pct
  • PK time share19.5%33rd pct
  • Quality of competition23.5%14th 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. Joshua BrownFLA0.82
  2. Fredrik ClaessonOTT0.81
  3. Cale FleuryMTL0.78
  4. Ashton SautnerVAN0.77
  5. Matt TennysonBUF0.75
  6. Nathan BeaulieuBUF/WPG0.75

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.

0.0 goals above expected

0123410203040506070Game

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

−10−50+5+10+15