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Ice Lab

Left wing · #61

Rick Nash

Columbus Blue Jackets New York Rangers Boston Bruins(traded during the season)
Age
42
Shoots
Left
Height
193 cm
Weight
96 kg
Born
Brampton, CAN
Draft
2002, round 1, #1 (CBJ)

Career · 2009–10 to 2017–18

Games
619
Goals
243
Points
450
TOI per game
18:12
xGF% (5v5)
50.8%
Goals above expected
+28.1
ShowAll teamsColumbus Blue JacketsNew York RangersBoston Bruins

Season by season

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

2009–10CBJ76333467−220:5625413.0%2221.6–
2010–11CBJ75323466+218:5630510.5%1428.550.9%
2011–12CBJ82302959−1919:053069.8%1825.146.2%
2012–13NYR44212142+1619:5817611.9%915.954.5%
2013–14NYR65261339+1017:0125810.1%723.552.8%
2014–15NYR79422769+2917:2730413.8%1231.052.5%
2015–16NYR60152136+816:561838.2%620.847.2%
2016–17NYR67231538+916:2819511.8%922.950.5%
2017–18NYR60181028−817:061899.5%420.851.0%
2017–18BOS11336−416:51417.3%34.762.3%
2017–18All teams71211334−1217:032309.1%725.552.7%
Total3 teams619243207450+4118:122,21111.0%104214.950.8%

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)
00.511.5100200300400500600
14m16m18m20m22m24m100200300400500600Game

Player card

Model-based

How 2009–10 to 2017–18 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

1st line

95th 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 /601.2998th pct
  • Assists /601.1071st pct
  • ixG /601.1498th pct
  • Goals above expected+28.197th pct

Play-driving

1st line
  • xGF% (5v5)50.8%67th pct
  • CF% (5v5)50.2%61st pct
  • Relative xGF%+1.270th pct
  • Penalty diff /600.4585th pct

Usage

1st line
  • TOI per game18:1292nd pct
  • PP time share51.0%91st pct
  • Offensive zone starts64.7%78th pct
  • Quality of competition25.7%99th 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. Alex OvechkinWSH0.95
  2. Jeff SkinnerCAR0.95
  3. Zach PariseNJD/MIN0.94
  4. Cam AtkinsonCBJ0.94
  5. James NealDAL/PIT/NSH/VGK0.94
  6. Viktor ArvidssonNSH0.93

Faceoffs

How often Nash wins the draw over 2009–10 to 2017–18, against whom and where, and what a win leads to. Ranked among players with 1739+ draws over the same seasons.

Win rate

34.6%

36–68 · below the 1739 draws of a regular

Against an average centre

34.9%

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

Wins above average

−16

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

Draws per game

1.2

104 draws in all.

By dot, attacking to the right

0%3 · –29%21 · −1.038%37 · +0.775%4 · 0.050%2 · −1.520%5 · 0.033%3 · +2.429%7 · −1.736%22 · −1.8Attacking 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 zone33.3% 19–38
  • Neutral zone35.3% 6–11
  • Defensive zone36.7% 11–19

By strength

  • Even strength36.5% 23–40
  • Power play36.4% 8–14
  • Shorthanded26.3% 5–14

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +8 after a win, −1 after a loss. Each win was worth -0.4 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–102245.5%45.8%
2010–112429.2%29.9%
2011–121931.6%32.3%
2012–131241.7%40.8%
2013–142100.0%100.2%
2014–15450.0%49.6%
2015–1610.0%-5.5%
2016–1710.0%-1.9%
2017–181921.1%21.3%

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.

+28.1 goals above expected

050100150200250100200300400500600Game

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

−500+50+100