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Ice Lab

Right wing · #22

Adam Cracknell

St. Louis Blues Columbus Blue Jackets Vancouver Canucks Edmonton Oilers Dallas Stars New York Rangers Anaheim Ducks(traded during the season)
Age
41
Shoots
Right
Height
191 cm
Weight
95 kg
Born
Prince Albert, CAN
Draft
2004, round 9, #279 (CGY)

Career · 2010–11 to 2018–19

Games
210
Goals
21
Points
43
TOI per game
10:12
xGF% (5v5)
46.3%
Goals above expected
+0.3

Season by season

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

2010–11STL24347+18:552611.5%02.040.1%
2011–12STL2101+17:391100.0%00.165.8%
2012–13STL20246+38:37219.5%02.056.7%
2013–14STL1902208:11160.0%01.445.6%
2014–15CBJ17011−89:57170.0%01.336.8%
2015–16VAN445510+112:24559.1%04.343.6%
2015–16EDM8000−211:18130.0%01.151.7%
2015–16All teams525510−112:14687.4%05.444.8%
2016–17DAL6910616+910:288711.5%08.049.8%
2017–18DAL100008:3520.0%00.026.8%
2017–18NYR4000−17:3040.0%00.230.1%
2017–18All teams5000−17:4360.0%00.329.7%
2018–19ANA2000−110:2630.0%00.232.0%
Total7 teams210212243+310:122458.6%020.746.3%

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)
00.10.20.30.40.50.650100150200
6m8m10m12m14m50100150200Game

Player card

Model-based

How 2010–11 to 2018–19 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

4th line

30th 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

3rd line
  • Goals /600.5943rd pct
  • Assists /600.6225th pct
  • ixG /600.5831st pct
  • Goals above expected+0.363rd pct

Play-driving

3rd line
  • xGF% (5v5)46.3%25th pct
  • CF% (5v5)48.9%48th pct
  • Relative xGF%−2.533rd pct
  • Penalty diff /600.4283rd pct

Usage

Extra / AHL
  • TOI per game10:1216th pct
  • PP time share1.7%15th pct
  • Offensive zone starts53.2%41st pct
  • Quality of competition22.9%11th 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. Dale WeiseMTL/PHI0.90
  2. Chris PorterSTL/MIN0.89
  3. Markus Hannikainen0.89
  4. Iiro PakarinenEDM0.86
  5. Quinton Howden0.85
  6. Freddie HamiltonCGY0.85

Faceoffs

How often Cracknell wins the draw over 2010–11 to 2018–19, against whom and where, and what a win leads to. Ranked among players with 1741+ draws over the same seasons.

Win rate

40.6%

376–549 · below the 1741 draws of a regular

Against an average centre

40.4%

Opponents won 49.8% of their draws; an average centre would have won 50.2% against them.

Wins above average

−88

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

Draws per game

5.7

925 draws in all.

By dot, attacking to the right

45%146 · +0.440%123 · +0.237%171 · +1.539%41 · +0.546%54 · −0.636%42 · +0.854%61 · +0.441%102 · −0.436%185 · +0.9Attacking 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 zone38.3% 113–182
  • Neutral zone45.1% 155–189
  • Defensive zone37.8% 108–178

By strength

  • Even strength41.0% 354–509
  • Power play50.0% 8–8
  • Shorthanded30.4% 14–32

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +11 after a win, −10 after a loss. Each win was worth 0.6 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2010–1111839.0%39.5%
2011–1210.0%2.6%
2012–132524.0%23.6%
2013–142737.0%35.3%
2014–155834.5%34.1%
2015–1639539.5%39.3%
2016–1729545.8%45.4%
2017–18650.0%51.8%

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.

+0.3 goals above expected

0510152050100150200Game

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

−500+50+100