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Ice Lab
Age
43
Shoots
Left
Height
185 cm
Weight
93 kg
Born
White Bear Lake, USA
Draft
Undrafted

Career · 2009–10 to 2015–16

Games
391
Goals
34
Points
76
TOI per game
10:48
xGF% (5v5)
47.9%
Goals above expected
−3.1

Season by season

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

2009–10ANA3845909:513810.5%03.0–
2010–11ANA18123−410:44234.3%02.648.7%
2010–11CAR3203308:18260.0%02.343.8%
2010–11FLA12213+313:301414.3%01.245.0%
2010–11All teams62369−110:01634.8%06.045.5%
2011–12FLA7000−19:1930.0%00.122.7%
2011–12NJD65448−1210:28478.5%04.345.8%
2011–12All teams72448−1310:21508.0%04.444.1%
2012–13NJD446915−213:03639.5%06.552.7%
2013–14NJD627310−611:206910.1%06.653.1%
2014–15MIN5331013+310:05476.4%05.151.1%
2015–16MIN607512−311:086211.3%05.441.2%
Total5 teams391344276−2210:483928.7%037.147.9%

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)
00.20.40.60.850100150200250300350
6m8m10m12m14m16m50100150200250300350Game

Player card

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

Extra / AHL

14th 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

4th line
  • Goals /600.4829th pct
  • Assists /600.6024th pct
  • ixG /600.5322nd pct
  • Goals above expected−3.132nd pct

Play-driving

4th line
  • xGF% (5v5)47.9%38th pct
  • CF% (5v5)48.2%40th pct
  • Relative xGF%−5.315th pct
  • Penalty diff /60-0.1822nd pct

Usage

Extra / AHL
  • TOI per game10:4820th pct
  • PP time share1.4%12th pct
  • Offensive zone starts40.0%15th pct
  • Quality of competition23.1%18th 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).

Faceoffs

How often Carter 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

50.2%

682–677 · #92 of 193 regulars, 53rd percentile

Against an average centre

50.4%

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

Wins above average

+5

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

Draws per game

5.1

1,359 draws in all.

By dot, attacking to the right

55%229 · +0.255%220 · +1.939%169 · +2.657%76 · −0.144%68 · −0.764%78 · +0.548%66 · +0.352%284 · +1.939%169 · +1.1Attacking 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 zone47.1% 184–207
  • Neutral zone54.4% 281–236
  • Defensive zone48.1% 217–234

By strength

  • Even strength50.6% 596–582
  • Power play68.4% 13–6
  • Shorthanded45.1% 69–84

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +9 after a win, −14 after a loss. Each win was worth 1.2 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–1022152.5%52.3%
2010–1147850.6%51.0%
2011–1243249.8%49.9%
2012–138351.8%51.5%
2013–143644.4%45.3%
2014–157041.4%42.7%
2015–163953.8%52.8%

Finishing

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.

−3.1 goals above expected

01020304050100150200250300350Game

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

−500+50+100