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Ice Lab

Right wing · #18

Lee Stempniak

Toronto Maple Leafs Phoenix Coyotes Calgary Flames Pittsburgh Penguins New York Rangers Winnipeg Jets New Jersey Devils Boston Bruins Carolina Hurricanes(traded during the season)
Age
43
Shoots
Right
Height
180 cm
Weight
88 kg
Born
West Seneca, USA
Draft
2003, round 5, #148 (STL)

Career · 2009–10 to 2018–19

Games
617
Goals
135
Points
308
TOI per game
16:09
xGF% (5v5)
49.8%
Goals above expected
−4.6

Season by season

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

2009–10TOR62141630−1017:531648.5%1115.1–
2009–10PHX1814418+1015:224829.2%45.0–
2009–10All teams80282048017:1921213.2%1520.1–
2010–11PHX82191938+415:151999.5%619.149.9%
2011–12CGY61141428−216:1413010.8%513.949.1%
2012–13CGY4792332+217:541138.0%611.152.6%
2013–14CGY5281523−2119:241445.6%417.947.0%
2013–14PIT214711+516:083411.8%04.644.9%
2013–14All teams73122234−1618:281786.7%422.446.4%
2014–15NYR539918+712:268610.5%010.049.1%
2014–15WPG186410+113:332920.7%12.646.5%
2014–15All teams71151328+812:4311513.0%112.748.5%
2015–16NJD63162541+318:4412013.3%1216.750.5%
2015–16BOS193710+115:202611.5%02.853.4%
2015–16All teams82193251+417:5714613.0%1219.451.2%
2016–17CAR82162440+215:5113112.2%615.850.1%
2017–18CAR37369−812:28417.3%15.052.7%
2018–19BOS2000−17:490–00.031.4%
Total9 teams617135173308−716:091,26510.7%56139.649.8%

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)
00.51100200300400500600
10m15m20m100200300400500600Game

Player card

Model-based

How 2009–10 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

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

2nd line
  • Goals /600.8171st pct
  • Assists /601.0467th pct
  • ixG /600.8475th pct
  • Goals above expected−4.628th pct

Play-driving

2nd line
  • xGF% (5v5)49.8%57th pct
  • CF% (5v5)50.0%58th pct
  • Relative xGF%+0.867th pct
  • Penalty diff /600.1761st pct

Usage

2nd line
  • TOI per game16:0976th pct
  • PP time share31.3%66th pct
  • Offensive zone starts56.6%50th pct
  • Quality of competition24.7%77th 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. Evgenii DadonovFLA0.95
  2. Corey PerryANA0.92
  3. Marian GaborikNYR/CBJ/LAK0.90
  4. Filip ForsbergNSH0.89
  5. Alexander SeminWSH/CAR0.89
  6. Viktor ArvidssonNSH0.88

Faceoffs

How often Stempniak wins the draw over 2009–10 to 2018–19, against whom and where, and what a win leads to. Ranked among players with 1944+ draws over the same seasons.

Win rate

32.5%

76–158 · below the 1944 draws of a regular

Against an average centre

33.3%

Opponents won 50.8% of their draws; an average centre would have won 49.2% against them.

Wins above average

−39

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

Draws per game

1.3

234 draws in all.

By dot, attacking to the right

38%21 · +0.723%13 · +1.437%75 · +1.444%9 · +1.122%23 · +0.433%3 · 0.038%16 · +1.529%17 · +1.828%57 · +3.3Attacking 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 zone34.4% 31–59
  • Neutral zone33.3% 24–48
  • Defensive zone29.2% 21–51

By strength

  • Even strength35.1% 60–111
  • Power play30.0% 9–21
  • Shorthanded21.9% 7–25

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +17 after a win, −12 after a loss. Each win was worth 1.8 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–104045.0%46.9%
2010–114540.0%41.3%
2011–122626.9%27.8%
2012–132313.0%12.4%
2013–143330.3%31.5%
2014–153237.5%37.5%
2015–161315.4%15.7%
2016–17837.5%37.9%
2017–181421.4%22.0%

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.

−4.6 goals above expected

050100150100200300400500600Game

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

−500+50+100+150