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Ice Lab

Left wing · #44

Tye McGinn

Philadelphia Flyers San Jose Sharks Arizona Coyotes Tampa Bay Lightning(traded during the season)
Age
36
Shoots
Left
Height
191 cm
Weight
99 kg
Born
Fergus, CAN
Draft
2010, round 4, #119 (PHI)

Career · 2012–13 to 2015–16

Games
89
Goals
9
Points
17
TOI per game
10:49
xGF% (5v5)
50.4%
Goals above expected
−1.5
ShowAll teamsPhiladelphia FlyersSan Jose SharksArizona CoyotesTampa Bay Lightning

Season by season

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

2012–13PHI18325012:43339.1%03.359.1%
2013–14PHI18415−111:111625.0%01.850.8%
2014–15SJS33145+110:20352.9%03.246.9%
2014–15ARI18112−19:40254.0%02.046.9%
2014–15All teams51257010:06603.3%05.346.9%
2015–16TBL200008:3310.0%00.063.3%
Total4 teams899817−110:491108.2%010.550.4%

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)
00.10.20.30.40.51020304050607080
9m10m11m12m13m14m15m1020304050607080Game

Player card

Model-based

How 2012–13 to 2015–16 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

3rd line

44th 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 /600.5638th pct
  • Assists /600.5018th pct
  • ixG /600.6548th pct
  • Goals above expected−1.543rd pct

Play-driving

2nd line
  • xGF% (5v5)50.4%62nd pct
  • CF% (5v5)48.9%44th pct
  • Relative xGF%+2.981st pct
  • Penalty diff /600.3174th pct

Usage

4th line
  • TOI per game10:4920th pct
  • PP time share10.9%40th pct
  • Offensive zone starts59.2%59th pct
  • Quality of competition23.3%26th 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).

Most similar players this season

  1. Eric TangradiWPG0.83
  2. Dennis Rasmussen0.82
  3. Freddie HamiltonCOL0.76
  4. John McCarthy0.76
  5. Mike Sislo0.75
  6. Chris Wagner0.73

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.

−1.5 goals above expected

02468101220406080Game

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

−200+20+40+60