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Ice Lab

Defence · #24

Nick Boynton

Anaheim Ducks Chicago Blackhawks Philadelphia Flyers(traded during the season)
Age
47
Shoots
Right
Height
185 cm
Weight
99 kg
Born
Nobleton, CAN
Draft
1999, round 1, #21 (BOS)

Career · 2009–10 to 2010–11

Games
100
Goals
2
Points
16
TOI per game
15:37
xGF% (5v5)
51.2%
Goals above expected
−1.2
ShowAll teamsAnaheim DucksChicago BlackhawksPhiladelphia Flyers

Season by season

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

2009–10ANA42167+116:45392.6%21.5–
2009–10CHI7011+415:56110.0%00.3–
2009–10All teams49178+516:38502.0%21.8–
2010–11CHI41178+215:43422.4%01.453.0%
2010–11PHI10000−310:1510.0%00.139.2%
2010–11All teams51178−114:39432.3%01.451.2%
Total3 teams10021416+415:37932.2%23.251.2%

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)
00.10.20.30.40.50.620406080100
10m12m14m16m18m20m22m20406080100Game

Player card

Model-based

How 2009–10 to 2010–11 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

3rd pair

37th percentile among qualified defencemen, blending scoring 30%, play-driving 50%, usage 20%.

  1. 1st pair
  2. 2nd pair
  3. 3rd pair
  4. Extra / AHL

Scoring

3rd pair
  • Goals /600.0817th pct
  • Assists /600.5440th pct
  • ixG /600.1223rd pct
  • Shots /603.5749th pct

Play-driving

2nd pair
  • xGF% (5v5)51.2%62nd pct
  • CF% (5v5)48.4%32nd pct
  • Relative xGF%+1.165th pct
  • xGA /60 (lower is better)2.1275th pct

Usage

Extra / AHL
  • TOI per game15:3716th pct
  • PP time share3.8%27th pct
  • PK time share16.5%22nd pct
  • Quality of competition23.7%15th pct

Percentiles among defencemen 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. Ian Cole0.88
  2. Matt CarknerOTT0.80
  3. John ErskineWSH0.78
  4. Ryan O'ByrneCOL0.78
  5. Matt Smaby0.77
  6. Joe CallahanFLA0.75

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.

−1.2 goals above expected

012320406080100Game

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

−10−50+5+10+15