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Ice Lab
Age
40
Shoots
Left
Height
191 cm
Weight
98 kg
Born
Zabrze, POL
Draft
2004, round 1, #21 (COL)

Career · 2009–10 to 2012–13

Games
211
Goals
43
Points
121
TOI per game
15:53
xGF% (5v5)
52.5%
Goals above expected
−4.3

Season by season

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

2009–10COL62173047+1518:5715610.9%1018.4–
2009–10PHX1861218+618:013915.4%14.0–
2009–10All teams80234265+2118:4419511.8%1122.4–
2010–11PHX3661016−614:415710.5%15.147.8%
2010–11NYR3761319+1214:29787.7%39.657.9%
2010–11All teams73122335+614:351358.9%414.753.1%
2011–12NYR9033−211:20110.0%01.349.1%
2011–12FLA22459−314:453910.3%13.647.0%
2011–12All teams314812−513:46508.0%14.947.6%
2012–13WSH27459+113:21498.2%15.457.1%
Total5 teams2114378121+2315:5342910.0%1747.352.5%

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)
00.511.550100150200
10m12m14m16m18m20m22m50100150200Game

Player card

How 2009–10 to 2012–13 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

2nd line

75th 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 /600.7761st pct
  • Assists /601.4086th pct
  • ixG /600.8573rd pct
  • Goals above expected−4.323rd pct

Play-driving

1st line
  • xGF% (5v5)52.5%78th pct
  • CF% (5v5)52.3%77th pct
  • Relative xGF%+2.172nd pct
  • Penalty diff /600.2165th pct

Usage

2nd line
  • TOI per game15:5367th pct
  • PP time share31.5%63rd pct
  • Offensive zone starts69.3%90th pct
  • Quality of competition24.2%50th 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 Wolski wins the draw over 2009–10 to 2012–13, against whom and where, and what a win leads to. Ranked among players with 727+ draws over the same seasons.

Win rate

45.1%

37–45 · below the 727 draws of a regular

Against an average centre

45.7%

Opponents won 50.6% of their draws; an average centre would have won 49.4% against them.

Wins above average

−3

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

Draws per game

1.5

82 draws in all.

By dot, attacking to the right

67%3 · 0.040%25 · +0.129%17 · −8.375%4 · +2.750%2 · 0.067%6 · −1.90%1 · –50%18 · +3.550%6 · +1.3Attacking 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 zone36.6% 15–26
  • Neutral zone62.5% 10–6
  • Defensive zone48.0% 12–13

By strength

  • Even strength46.3% 25–29
  • Power play33.3% 7–14
  • Shorthanded71.4% 5–2

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 -1.3 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–103644.4%44.9%
2010–113148.4%50.1%
2011–121050.0%49.0%
2012–13520.0%18.7%

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.

−4.3 goals above expected

0102030405050100150200Game

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

−200+20+40+60+80