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Ice Lab

Right wing · #29

Martin Havlat

Minnesota Wild San Jose Sharks New Jersey Devils St. Louis Blues(traded during the season)
Age
45
Shoots
Left
Height
188 cm
Weight
95 kg
Born
Mlada Boleslav, CZE
Draft
1999, round 1, #26 (OTT)

Career · 2009–10 to 2015–16

Games
320
Goals
73
Points
198
TOI per game
16:49
xGF% (5v5)
50.9%
Goals above expected
+3.4
ShowAll teamsMinnesota WildSan Jose SharksNew Jersey DevilsSt. Louis Blues

Season by season

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

2009–10MIN73183654−1917:5616910.7%1814.8–
2010–11MIN78224062−1018:212299.6%1420.949.2%
2011–12SJS3972027+1017:37967.3%88.251.2%
2012–13SJS4081018+715:51899.0%49.557.0%
2013–14SJS48121022+1414:437216.7%29.951.6%
2014–15NJD405914−1114:484910.2%66.045.1%
2015–16STL2101010:54333.3%00.375.2%
Total4 teams32073125198−916:4970710.3%5269.650.9%

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)
00.511.550100150200250300
12m14m16m18m20m50100150200250300Game

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

78th 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 /600.8171st pct
  • Assists /601.3989th pct
  • ixG /600.7866th pct
  • Goals above expected+3.477th pct

Play-driving

3rd line
  • xGF% (5v5)50.9%66th pct
  • CF% (5v5)49.3%49th pct
  • Relative xGF%+0.357th pct
  • Penalty diff /60-0.0238th pct

Usage

1st line
  • TOI per game16:4981st pct
  • PP time share40.8%76th pct
  • Offensive zone starts61.1%66th pct
  • Quality of competition24.8%80th 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. Jaromir JagrDAL/NJD0.93
  2. Milan HejdukCOL0.92
  3. Pierre-Marc BouchardMIN0.91
  4. Teddy PurcellLAK/TBL/EDM0.90
  5. PA ParenteauNYR/NYI/COL/MTL0.89
  6. Alexander SeminWSH/CAR0.89

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.

+3.4 goals above expected

02040608050100150200250300Game

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

−500+50+100