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Ice Lab
Age
45
Shoots
Left
Height
183 cm
Weight
98 kg
Born
Toronto, CAN
Draft
2000, round 1, #5 (NYI)

Career · 2009–10 to 2013–14

Games
277
Goals
58
Points
114
TOI per game
12:31
xGF% (5v5)
46.2%
Goals above expected
+18.6

Season by season

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

2009–10CBJ60191231−813:349919.2%811.6–
2009–10BUF14055−313:21210.0%11.4–
2009–10All teams74191736−1113:3212015.8%913.0–
2010–11VAN80141529+412:2911512.2%410.244.5%
2011–12PHX79151126+211:229915.2%18.845.3%
2012–13PHX285712−113:004012.5%03.843.0%
2012–13SJS11246+113:572010.0%12.360.2%
2012–13All teams3971118013:166011.7%16.147.8%
2013–14SJS5325+410:22933.3%01.269.2%
Total5 teams2775856114−112:3140314.4%1539.446.2%

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)
00.20.40.60.850100150200250
9m10m11m12m13m14m15m50100150200250Game

Player card

How 2009–10 to 2013–14 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

1st line
  • Goals /601.0086th pct
  • Assists /600.9756th pct
  • ixG /600.6847th pct
  • Goals above expected+18.695th pct

Play-driving

4th line
  • xGF% (5v5)46.2%23rd pct
  • CF% (5v5)50.1%55th pct
  • Relative xGF%−5.614th pct
  • Penalty diff /60-0.2416th pct

Usage

3rd line
  • TOI per game12:3136th pct
  • PP time share17.4%47th pct
  • Offensive zone starts52.6%38th pct
  • Quality of competition23.7%34th 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 Torres wins the draw over 2009–10 to 2013–14, against whom and where, and what a win leads to. Ranked among players with 929+ draws over the same seasons.

Win rate

37.2%

42–71 · below the 929 draws of a regular

Against an average centre

36.5%

Opponents won 49.3% of their draws; an average centre would have won 50.7% against them.

Wins above average

−15

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

Draws per game

1.5

113 draws in all.

By dot, attacking to the right

43%14 · −0.338%29 · +4.323%13 · +5.925%8 · 0.014%7 · +0.5100%2 · –33%3 · +0.742%26 · +1.345%11 · +7.0Attacking 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 zone33.3% 14–28
  • Neutral zone35.3% 12–22
  • Defensive zone43.2% 16–21

By strength

  • Even strength35.2% 32–59
  • Power play50.0% 10–10
  • Shorthanded0.0% 0–2

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +24 after a win, −1 after a loss. Each win was worth 1.9 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–104934.7%34.2%
2010–113231.3%29.5%
2011–121546.7%46.9%
2012–131346.2%46.3%
2013–14450.0%49.7%

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.

+18.6 goals above expected

010203040506050100150200250Game

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

−200+20+40+60+80+100