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Ice Lab

Right wing · #10

Matt Read

Philadelphia Flyers Minnesota Wild(traded during the season)
Age
40
Shoots
Right
Height
178 cm
Weight
85 kg
Born
Ilderton, CAN
Draft
Undrafted

Career · 2011–12 to 2018–19

Games
449
Goals
88
Points
188
TOI per game
16:21
xGF% (5v5)
49.1%
Goals above expected
−0.6

Season by season

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

2011–12PHI79242347+1317:0415515.5%1119.349.7%
2012–13PHI42111324+118:017215.3%38.046.8%
2013–14PHI75221840−418:4815114.6%218.048.7%
2014–15PHI8082230−417:341425.6%515.545.5%
2015–16PHI79111526−515:151278.7%716.553.3%
2016–17PHI6310919+313:489210.9%28.351.6%
2017–18PHI19101−210:54166.3%02.045.6%
2018–19MIN12101−211:45137.7%01.051.9%
Total2 teams44988100188016:2176811.5%3088.649.1%

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)
00.20.40.60.81100200300400
10m12m14m16m18m20m22m100200300400Game

Player card

How 2011–12 to 2018–19 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

2nd line

67th 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

2nd line
  • Goals /600.7262nd pct
  • Assists /600.8248th pct
  • ixG /600.7259th pct
  • Goals above expected−0.656th pct

Play-driving

2nd line
  • xGF% (5v5)49.1%51st pct
  • CF% (5v5)50.5%65th pct
  • Relative xGF%−1.048th pct
  • Penalty diff /600.2468th pct

Usage

2nd line
  • TOI per game16:2179th pct
  • PP time share25.9%60th pct
  • Offensive zone starts47.5%29th pct
  • Quality of competition24.6%72nd 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 Read wins the draw over 2011–12 to 2018–19, against whom and where, and what a win leads to. Ranked among players with 1539+ draws over the same seasons.

Win rate

40.7%

214–312 · below the 1539 draws of a regular

Against an average centre

40.8%

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

Wins above average

−48

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

Draws per game

2.9

526 draws in all.

By dot, attacking to the right

36%50 · −0.840%58 · +1.742%160 · +0.127%15 · −0.248%31 · +1.017%18 · −0.161%31 · +0.543%37 · +2.039%126 · +0.3Attacking 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 zone41.3% 90–128
  • Neutral zone40.7% 59–86
  • Defensive zone39.9% 65–98

By strength

  • Even strength42.0% 166–229
  • Power play41.5% 17–24
  • Shorthanded33.3% 29–58

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +7 after a win, −9 after a loss. Each win was worth 0.5 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2011–1234641.0%41.0%
2012–134829.2%29.5%
2013–142842.9%43.3%
2014–152152.4%52.4%
2015–165048.0%48.2%
2016–171533.3%35.7%
2017–181233.3%32.9%
2018–19633.3%34.1%

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.

−0.6 goals above expected

020406080100100200300400Game

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

−60−40−200+20+40+60+80+100+120