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Ice Lab

Centre · #22

Mark Letestu

Pittsburgh Penguins Columbus Blue Jackets Edmonton Oilers Winnipeg Jets(traded during the season)
Age
41
Shoots
Right
Height
178 cm
Weight
88 kg
Born
Elk Point, CAN
Draft
Undrafted

Career · 2009–10 to 2019–20

Games
567
Goals
93
Points
210
TOI per game
14:27
xGF% (5v5)
47.6%
Goals above expected
+14.5
ShowAll teamsPittsburgh PenguinsColumbus Blue JacketsEdmonton OilersWinnipeg Jets

Season by season

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

2009–10PIT10101−29:38911.1%01.1–
2010–11PIT64141327+414:1512810.9%611.053.8%
2011–12PIT11011−612:5090.0%01.240.5%
2011–12CBJ51111324−316:1510510.5%89.251.1%
2011–12All teams62111425−915:391149.6%810.449.6%
2012–13CBJ46131427+716:319214.1%57.146.4%
2013–14CBJ82122234+114:411229.8%119.850.6%
2014–15CBJ547613−913:206311.1%14.943.2%
2015–16EDM82101525−2115:471079.3%129.844.0%
2016–17EDM78161935−214:1412013.3%1413.245.8%
2017–18EDM6081119−1713:05958.4%69.247.6%
2017–18CBJ20134012:10166.3%01.446.7%
2017–18All teams8091423−1712:511118.1%610.647.3%
2018–19CBJ2000−19:2010.0%00.012.8%
2019–20WPG7000010:3650.0%00.538.3%
Total4 teams56793117210−4914:2787210.7%6378.547.6%

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)
00.20.40.60.81100200300400500
10m12m14m16m18m20m100200300400500Game

Player card

Model-based

How 2009–10 to 2019–20 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

3rd line

46th 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 /600.6854th pct
  • Assists /600.8650th pct
  • ixG /600.5828th pct
  • Goals above expected+14.591st pct

Play-driving

4th line
  • xGF% (5v5)47.6%34th pct
  • CF% (5v5)48.3%40th pct
  • Relative xGF%−2.930th pct
  • Penalty diff /600.0243rd pct

Usage

3rd line
  • TOI per game14:2761st pct
  • PP time share32.4%68th pct
  • Offensive zone starts41.9%17th pct
  • Quality of competition23.6%35th 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. Nick BoninoANA/VAN/PIT/NSH0.87
  2. Eric BelangerPHX/EDM0.85
  3. Marcel GocNSH/FLA/STL0.79
  4. Michal HandzusSJS/CHI0.75
  5. Kyle BrodziakMIN/STL0.75
  6. Boyd GordonWSH/PHX/EDM/ARI0.75

Faceoffs

How often Letestu wins the draw over 2009–10 to 2019–20, against whom and where, and what a win leads to. Ranked among players with 2117+ draws over the same seasons.

Win rate

52.2%

3311–3036 · #60 of 197 regulars, 70th percentile

Against an average centre

52.3%

Opponents won 50.1% of their draws; an average centre would have won 49.9% against them.

Wins above average

+143

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

Draws per game

11.3

6,347 draws in all.

By dot, attacking to the right

51%888 · +1.048%602 · +1.255%1306 · +1.655%165 · +2.061%291 · +0.950%181 · +0.660%284 · +1.049%536 · +1.051%2094 · +1.9Attacking 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 zone52.8% 1010–902
  • Neutral zone54.3% 982–825
  • Defensive zone50.2% 1319–1309

By strength

  • Even strength53.2% 2465–2165
  • Power play56.4% 390–302
  • Shorthanded44.2% 444–561

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +11 after a win, −17 after a loss. Each win was worth 1.5 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–107455.4%55.4%
2010–1173455.4%55.3%
2011–1272251.9%52.5%
2012–1348750.1%49.9%
2013–1473051.2%51.0%
2014–1560352.9%52.7%
2015–16116251.3%51.3%
2016–1789650.4%51.0%
2017–1888753.3%53.5%
2018–19683.3%82.4%
2019–204654.3%54.9%

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.

+14.5 goals above expected

020406080100100200300400500Game

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

−500+50+100+150