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Ice Lab
Age
36
Shoots
Right
Height
185 cm
Weight
90 kg
Born
Burlington, CAN
Draft
Undrafted

Career · 2014–15 to 2017–18

Games
213
Goals
23
Points
55
TOI per game
12:25
xGF% (5v5)
48.3%
Goals above expected
−1.5

Season by season

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

2014–15CGY60121224+114:308913.5%510.148.2%
2015–16CGY594913−112:17805.0%06.553.4%
2016–17NYR12112+18:36119.1%00.750.2%
2016–17ARI423710−313:13644.7%03.642.3%
2016–17All teams544812−212:12755.3%04.343.5%
2017–18CAR31336−710:31427.1%03.246.3%
2017–18PIT900007:1280.0%00.458.4%
2017–18All teams40336−79:46506.0%03.647.8%
Total5 teams213233255−912:252947.8%524.548.3%

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)
00.20.40.60.850100150200
6m8m10m12m14m16m18m50100150200Game

Player card

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

4th line

33rd 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

4th line
  • Goals /600.5231st pct
  • Assists /600.7338th pct
  • ixG /600.5625th pct
  • Goals above expected−1.545th pct

Play-driving

3rd line
  • xGF% (5v5)48.3%41st pct
  • CF% (5v5)46.6%25th pct
  • Relative xGF%+0.261st pct
  • Penalty diff /600.1658th pct

Usage

4th line
  • TOI per game12:2536th pct
  • PP time share5.5%30th pct
  • Offensive zone starts42.7%20th pct
  • Quality of competition23.4%29th 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).

Faceoffs

How often Jooris wins the draw over 2014–15 to 2017–18, against whom and where, and what a win leads to. Ranked among players with 810+ draws over the same seasons.

Win rate

47.8%

687–750 · #133 of 190 regulars, 30th 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

−31

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

Draws per game

7.0

1,437 draws in all.

By dot, attacking to the right

47%232 · −0.349%135 · +1.247%269 · +1.455%47 · +0.949%71 · +0.454%56 · −0.746%56 · +1.343%148 · +1.848%423 · +1.7Attacking 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 zone47.5% 192–212
  • Neutral zone49.0% 226–235
  • Defensive zone47.0% 269–303

By strength

  • Even strength48.6% 593–628
  • Power play61.0% 25–16
  • Shorthanded39.4% 69–106

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +9 after a win, −16 after a loss. Each win was worth 1.1 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2014–1556748.7%48.6%
2015–1625744.4%44.6%
2016–1745049.3%49.4%
2017–1816346.0%46.1%

Finishing

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

051015202550100150200Game

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

−200+20+40+60