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Ice Lab
Age
42
Shoots
Left
Height
185 cm
Weight
97 kg
Born
Regina, CAN
Draft
2003, round 9, #265 (FLA)

Career · 2009–10 to 2017–18

Games
483
Goals
23
Points
67
TOI per game
10:47
xGF% (5v5)
43.3%
Goals above expected
−13.4

Season by season

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

2009–10VAN674711+510:28527.7%04.2–
2010–11VAN733710−58:56456.7%04.940.6%
2011–12WPG7851116−1213:25865.8%07.743.0%
2012–13PIT48112−1110:04382.6%12.845.3%
2013–14PIT674913−811:47567.1%05.344.0%
2014–15NYR66156−1210:15531.9%03.941.3%
2015–16NYR57437−310:17498.2%05.044.1%
2016–17NYR11112010:55812.5%01.247.7%
2017–18CGY16000−49:23140.0%01.550.7%
Total5 teams483234467−5010:474015.7%136.443.3%

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)
00.10.20.30.40.50.6100200300400
6m8m10m12m14m16m100200300400Game

Player card

How 2009–10 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

2nd 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

Extra / AHL
  • Goals /600.278th pct
  • Assists /600.5114th pct
  • ixG /600.427th pct
  • Goals above expected−13.47th pct

Play-driving

Extra / AHL
  • xGF% (5v5)43.3%10th pct
  • CF% (5v5)42.4%4th pct
  • Relative xGF%−8.45th pct
  • Penalty diff /60-0.1028th pct

Usage

Extra / AHL
  • TOI per game10:4720th pct
  • PP time share1.3%11th pct
  • Offensive zone starts36.4%10th pct
  • Quality of competition23.2%21st 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 Glass wins the draw over 2009–10 to 2017–18, against whom and where, and what a win leads to. Ranked among players with 1739+ draws over the same seasons.

Win rate

38.6%

105–167 · below the 1739 draws of a regular

Against an average centre

38.5%

Opponents won 49.9% of their draws; an average centre would have won 50.1% against them.

Wins above average

−31

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

Draws per game

1.7

272 draws in all.

By dot, attacking to the right

32%37 · 0.033%49 · +1.720%25 · +1.960%15 · −1.425%8 · +1.454%24 · −0.344%16 · +2.938%73 · +2.252%25 · +7.7Attacking 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 zone28.4% 21–53
  • Neutral zone43.0% 43–57
  • Defensive zone41.8% 41–57

By strength

  • Even strength36.7% 65–112
  • Power play0.0% 0–1
  • Shorthanded43.0% 40–53

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +3 after a win, −26 after a loss. Each win was worth 1.5 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–101816.7%16.4%
2010–116240.3%39.3%
2011–127339.7%40.7%
2012–135143.1%43.2%
2013–141947.4%45.6%
2014–152133.3%33.5%
2015–162030.0%29.3%
2016–172100.0%98.0%
2017–18633.3%34.0%

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.

−13.4 goals above expected

010203040100200300400Game

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

−500+50+100