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Ice Lab

Left wing · #12

Tomas Fleischmann

Washington Capitals Colorado Avalanche Florida Panthers Anaheim Ducks Montréal Canadiens Chicago Blackhawks(traded during the season)
Age
42
Shoots
Left
Height
185 cm
Weight
87 kg
Born
Koprivnice, CZE
Draft
2002, round 2, #63 (DET)

Career · 2009–10 to 2015–16

Games
466
Goals
104
Points
258
TOI per game
16:45
xGF% (5v5)
47.7%
Goals above expected
+11.0

Season by season

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

2009–10WSH69232851+916:0212119.0%2015.3–
2010–11WSH234610+314:20449.1%13.946.9%
2010–11COL2281321−118:285414.8%55.346.3%
2010–11All teams45121931+216:229812.2%69.246.5%
2011–12FLA82273461−719:0621712.4%2220.346.9%
2012–13FLA48122335−1018:441219.9%139.641.6%
2013–14FLA8082028−1817:071884.3%716.546.7%
2014–15FLA5271421+1214:511076.5%18.450.7%
2014–15ANA14156014:10244.2%02.163.1%
2014–15All teams6681927+1214:421316.1%110.553.5%
2015–16MTL57101020−115:3310010.0%19.849.7%
2015–16CHI19415−714:112317.4%01.854.2%
2015–16All teams76141125−815:1312311.4%111.750.7%
Total6 teams466104154258−2016:4599910.4%7093.047.7%

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)
00.51100200300400
12m14m16m18m20m100200300400Game

Player card

Model-based

How 2009–10 to 2015–16 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

2nd line

71st 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 /600.8069th pct
  • Assists /601.1876th pct
  • ixG /600.7257th pct
  • Goals above expected+11.089th pct

Play-driving

3rd line
  • xGF% (5v5)47.7%36th pct
  • CF% (5v5)50.1%58th pct
  • Relative xGF%−2.037th pct
  • Penalty diff /600.1152nd pct

Usage

1st line
  • TOI per game16:4581st pct
  • PP time share37.5%72nd pct
  • Offensive zone starts60.8%65th pct
  • Quality of competition25.0%85th 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. Sam GagnerEDM/ARI/PHI0.91
  2. Brad RichardsNYR/CHI/DET0.91
  3. Ales HemskyEDM/OTT/DAL0.91
  4. Kyle TurrisOTT0.91
  5. Kris VersteegCHI/TOR/FLA/CAR/LAK0.90
  6. Jordan EberleEDM0.90

Faceoffs

How often Fleischmann wins the draw over 2009–10 to 2015–16, against whom and where, and what a win leads to. Ranked among players with 1339+ draws over the same seasons.

Win rate

43.3%

316–413 · below the 1339 draws of a regular

Against an average centre

43.6%

Opponents won 50.3% of their draws; an average centre would have won 49.7% against them.

Wins above average

−46

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

Draws per game

4.3

729 draws in all.

By dot, attacking to the right

45%141 · −0.340%151 · +2.046%122 · +3.349%37 · 0.040%35 · +1.746%39 · −0.126%27 · +0.149%105 · +3.239%72 · +1.8Attacking 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 zone42.3% 116–158
  • Neutral zone43.4% 121–158
  • Defensive zone44.9% 79–97

By strength

  • Even strength42.0% 261–360
  • Power play52.8% 38–34
  • Shorthanded50.0% 16–16

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +20 after a win, −14 after a loss. Each win was worth 1.7 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–1037143.1%43.5%
2010–1123641.9%42.2%
2011–122751.9%52.6%
2012–132050.0%50.0%
2013–141827.8%29.5%
2014–151428.6%29.3%
2015–164355.8%54.8%

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.

+11.0 goals above expected

020406080100120100200300400Game

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

−500+50+100