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Ice Lab

Right wing · #42

Joel Ward

Nashville Predators Washington Capitals San Jose Sharks(traded during the season)
Age
45
Shoots
Right
Height
185 cm
Weight
102 kg
Born
North York, CAN
Draft
Undrafted

Career · 2009–10 to 2017–18

Games
636
Goals
116
Points
268
TOI per game
15:44
xGF% (5v5)
51.4%
Goals above expected
−10.0
ShowAll teamsNashville PredatorsWashington CapitalsSan Jose Sharks

Season by season

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

2009–10NSH71132134−517:331349.7%316.0–
2010–11NSH80101929−117:041576.4%518.152.9%
2011–12WSH7361218+1212:26797.6%17.151.7%
2012–13WSH3981220+715:085215.4%36.250.5%
2013–14WSH82242549+716:0413318.0%1017.050.1%
2014–15WSH82191534−416:5213813.8%1119.551.9%
2015–16SJS79212243−1516:5813815.2%1221.256.3%
2016–17SJS78101929−215:571059.5%314.349.3%
2017–18SJS525712−211:524012.5%06.645.3%
Total3 teams636116152268−315:4497611.9%48126.051.4%

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)
00.20.40.60.811.2100200300400500600
8m10m12m14m16m18m20m100200300400500600Game

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

2nd line

58th 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 /600.7055th pct
  • Assists /600.9156th pct
  • ixG /600.7663rd pct
  • Goals above expected−10.013th pct

Play-driving

2nd line
  • xGF% (5v5)51.4%73rd pct
  • CF% (5v5)50.1%60th pct
  • Relative xGF%+0.362nd pct
  • Penalty diff /600.0646th pct

Usage

2nd line
  • TOI per game15:4472nd pct
  • PP time share25.7%59th pct
  • Offensive zone starts48.0%29th pct
  • Quality of competition24.4%63rd 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. Sean CouturierPHI0.87
  2. Riley SheahanDET/PIT0.85
  3. Cody EakinWSH/DAL/VGK0.83
  4. William KarlssonANA/CBJ/VGK0.82
  5. Travis ZajacNJD0.81
  6. Daymond LangkowCGY0.80

Faceoffs

How often Ward 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

47.9%

897–975 · #146 of 187 regulars, 22nd percentile

Against an average centre

48.1%

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

Wins above average

−35

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

Draws per game

3.8

1,872 draws in all.

By dot, attacking to the right

59%126 · +0.959%32 · +1.751%648 · +1.933%6 · 0.048%97 · +0.654%13 · +4.245%87 · −0.462%21 · +0.444%842 · +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 zone51.5% 351–331
  • Neutral zone51.2% 166–158
  • Defensive zone43.9% 380–486

By strength

  • Even strength50.9% 624–602
  • Power play52.9% 137–122
  • Shorthanded35.2% 136–250

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +12 after a win, −20 after a loss. Each win was worth 1.8 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–108138.3%39.6%
2010–1116848.8%49.3%
2011–125255.8%54.5%
2012–136558.5%58.8%
2013–1419945.2%45.4%
2014–1512747.2%47.4%
2015–1649348.1%48.4%
2016–1745648.9%49.0%
2017–1823146.3%46.4%

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.

−10.0 goals above expected

050100100200300400500600Game

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

−500+50+100