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Ice Lab

Right wing · #11

PA Parenteau

New York Rangers New York Islanders Colorado Avalanche Montréal Canadiens Toronto Maple Leafs New Jersey Devils Nashville Predators(traded during the season)
Age
43
Shoots
Right
Height
183 cm
Weight
91 kg
Born
Hull, CAN
Draft
2001, round 9, #264 (ANA)

Career · 2009–10 to 2016–17

Games
8
Goals
0
Points
1
TOI per game
12:34
xGF% (5v5)
42.0%
Goals above expected
−0.8

Season by season

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

2009–10NYR22358−213:42387.9%33.2–
2010–11NYI81203353−818:1316112.4%2019.050.7%
2011–12NYI80184967−818:3916710.8%1918.050.7%
2012–13COL48182543−1119:0910517.1%1311.546.0%
2013–14COL55141933+316:5711012.7%313.552.8%
2014–15MTL5681422014:59978.2%410.149.8%
2015–16TOR77202141016:1616811.9%1118.053.0%
2016–17NJD59131427−1614:5910911.9%89.950.4%
2016–17NSH8011−212:34140.0%00.842.0%
2016–17All teams67131528−1814:4212310.6%810.849.3%
Total7 teams486114181295−4416:5296911.8%81104.050.5%

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)
Game

Player card

Model-based

How 2009–10 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

85th 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 /600.8374th pct
  • Assists /601.3286th pct
  • ixG /600.7665th pct
  • Goals above expected+10.088th pct

Play-driving

2nd line
  • xGF% (5v5)50.5%64th pct
  • CF% (5v5)50.4%63rd pct
  • Relative xGF%+4.391st pct
  • Penalty diff /60-0.1921st pct

Usage

1st line
  • TOI per game16:5282nd pct
  • PP time share51.9%91st pct
  • Offensive zone starts68.9%90th pct
  • Quality of competition25.2%91st 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. Milan HejdukCOL0.93
  2. Steve SullivanNSH/PIT/PHX0.92
  3. David PerronSTL/EDM/PIT0.92
  4. Jaromir JagrPHI/DAL/NJD/FLA0.92
  5. Kristian HuseliusCBJ0.92
  6. Alex KovalevOTT/PIT0.92

Faceoffs

How often Parenteau wins the draw over 2009–10 to 2016–17, against whom and where, and what a win leads to. Ranked among players with 1539+ draws over the same seasons.

Win rate

30.2%

48–111 · below the 1539 draws of a regular

Against an average centre

29.2%

Opponents won 49.1% of their draws; an average centre would have won 50.9% against them.

Wins above average

−33

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

Draws per game

1.4

159 draws in all.

By dot, attacking to the right

33%12 · +1.720%25 · −1.234%67 · +4.60%5 · –50%4 · +1.10%2 · –0%6 · –36%11 · +3.237%27 · +2.1Attacking 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 zone31.6% 30–65
  • Neutral zone20.7% 6–23
  • Defensive zone34.3% 12–23

By strength

  • Even strength29.4% 40–96
  • Power play36.4% 8–14

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +31 after a win, −11 after a loss. Each win was worth 2.5 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–101233.3%31.4%
2010–113036.7%35.5%
2011–122638.5%37.6%
2012–13137.7%7.0%
2013–141414.3%15.0%
2014–152638.5%37.1%
2015–161822.2%21.6%
2016–172030.0%28.8%

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.

−0.8 goals above expected

00.20.40.60.812345678Game

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

−500+50+100