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Ice Lab
Age
40
Shoots
Left
Height
191 cm
Weight
91 kg
Born
Alfred, CAN
Draft
2005, round 1, #4 (MIN)

Career · 2009–10 to 2017–18

Games
574
Goals
123
Points
249
TOI per game
13:52
xGF% (5v5)
49.5%
Goals above expected
+19.3

Season by season

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

2009–10MIN14224011:561910.5%02.0–
2009–10MTL3915924+816:449216.3%69.4–
2009–10All teams53171128+815:2811115.3%611.4–
2010–11MTL79131730+211:3212910.1%111.755.3%
2011–12BOS74161632+1812:1310715.0%211.754.1%
2012–13TBL3481220+813:146013.3%36.751.9%
2013–14NYR80152136+1013:2614110.6%818.355.1%
2014–15EDM58191534−116:3710518.1%713.045.0%
2015–16EDM55142236−616:0310912.8%914.047.6%
2016–17EDM678614−514:037710.4%08.443.9%
2017–18BUF7413619−813:418315.7%18.543.0%
Total7 teams574123126249+2613:5292213.3%37103.749.5%

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)
00.51100200300400500
8m10m12m14m16m18m100200300400500Game

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

2nd line

72nd 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 /600.9383rd pct
  • Assists /600.9559th pct
  • ixG /600.7867th pct
  • Goals above expected+19.395th pct

Play-driving

3rd line
  • xGF% (5v5)49.5%54th pct
  • CF% (5v5)51.4%73rd pct
  • Relative xGF%+0.261st pct
  • Penalty diff /60-0.1622nd pct

Usage

2nd line
  • TOI per game13:5254th pct
  • PP time share25.8%59th pct
  • Offensive zone starts60.9%64th pct
  • Quality of competition24.4%65th 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 Pouliot 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

39.6%

105–160 · below the 1739 draws of a regular

Against an average centre

40.1%

Opponents won 50.5% of their draws; an average centre would have won 49.5% against them.

Wins above average

−26

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

Draws per game

1.6

265 draws in all.

By dot, attacking to the right

35%23 · +1.247%75 · +0.831%64 · +0.338%13 · +0.733%12 · 0.033%9 · +0.780%5 · 0.032%41 · +1.457%23 · +0.8Attacking 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 zone39.6% 55–84
  • Neutral zone38.7% 24–38
  • Defensive zone40.6% 26–38

By strength

  • Even strength41.9% 90–125
  • Power play30.3% 10–23
  • Shorthanded29.4% 5–12

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +14 after a win, −7 after a loss. Each win was worth 0.7 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–101145.5%43.1%
2010–112245.5%46.7%
2011–121844.4%44.2%
2012–133132.3%32.7%
2013–143951.3%52.6%
2014–153438.2%36.9%
2015–164940.8%41.0%
2016–172825.0%26.8%
2017–183336.4%38.1%

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.

+19.3 goals above expected

050100100200300400500Game

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

−500+50+100