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Ice Lab

Right wing · #22

Jiri Hudler

Age
42
Shoots
Left
Height
178 cm
Weight
86 kg
Born
Olomouc, CZE
Draft
2002, round 2, #58 (DET)

Career · 2010–11 to 2016–17

Games
32
Goals
3
Points
11
TOI per game
11:51
xGF% (5v5)
43.3%
Goals above expected
+0.1

Season by season

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

2010–11DET73102737−713:401059.5%1210.351.1%
2011–12DET81252550+1015:4012719.7%1016.054.4%
2012–13CGY42101727−1317:105617.9%88.247.0%
2013–14CGY75173754+418:5110915.6%1312.649.9%
2014–15CGY78314576+1718:0115819.6%1621.247.1%
2015–16CGY53102535−116:398012.5%88.945.5%
2015–16FLA196511013:182920.7%23.746.8%
2015–16All teams72163046−115:4610914.7%1012.645.8%
2016–17DAL323811−311:512711.1%12.943.3%
Total4 teams453112189301+716:0969116.2%7083.949.1%

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)
00.10.20.30.40.50.61015202530
10m11m12m13m14m1015202530Game

Player card

How 2010–11 to 2016–17 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

1st line

79th 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

1st line
  • Goals /600.9283rd pct
  • Assists /601.5594th pct
  • ixG /600.6953rd pct
  • Goals above expected+28.199th pct

Play-driving

3rd line
  • xGF% (5v5)49.1%49th pct
  • CF% (5v5)49.4%51st pct
  • Relative xGF%−0.353rd pct
  • Penalty diff /600.0546th pct

Usage

1st line
  • TOI per game16:0977th pct
  • PP time share47.1%84th pct
  • Offensive zone starts67.7%87th pct
  • Quality of competition24.7%75th 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 Hudler wins the draw over 2010–11 to 2016–17, against whom and where, and what a win leads to. Ranked among players with 1337+ draws over the same seasons.

Win rate

39.6%

82–125 · below the 1337 draws of a regular

Against an average centre

41.0%

Opponents won 51.3% of their draws; an average centre would have won 48.7% against them.

Wins above average

−19

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

Draws per game

1.8

207 draws in all.

By dot, attacking to the right

30%23 · −1.052%46 · +0.140%70 · +0.317%6 · +4.043%14 · −0.736%11 · −0.333%9 · 0.055%11 · +0.318%17 · −1.5Attacking 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 zone44.8% 52–64
  • Neutral zone33.3% 21–42
  • Defensive zone32.1% 9–19

By strength

  • Even strength38.0% 60–98
  • Power play52.4% 22–20
  • Shorthanded0.0% 0–6

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +15 after a win, +2 after a loss. Each win was worth 0.0 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2010–117044.3%46.7%
2011–12728.6%29.4%
2012–133132.3%34.8%
2013–142218.2%18.2%
2014–154645.7%45.8%
2015–162642.3%43.1%
2016–17560.0%60.2%

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.

+0.1 goals above expected

012351015202530Game

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

−60−40−200+20+40+60+80+100+120