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Ice Lab

Right wing · #28

Brad Boyes

St. Louis Blues Buffalo Sabres New York Islanders Florida Panthers Toronto Maple Leafs(traded during the season)
Age
44
Shoots
Right
Height
183 cm
Weight
90 kg
Born
Mississauga, CAN
Draft
2000, round 1, #24 (TOR)

Career · 2009–10 to 2015–16

Games
494
Goals
92
Points
253
TOI per game
15:46
xGF% (5v5)
51.5%
Goals above expected
−15.9

Season by season

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

2009–10STL82142842+116:471977.1%1022.5–
2010–11STL62122941+1117:101329.1%913.752.3%
2010–11BUF215914+216:284610.9%54.546.5%
2010–11All teams83173855+1317:001789.6%1418.250.8%
2011–12BUF6581523+213:101008.0%89.449.5%
2012–13NYI48102535−618:139710.3%1313.354.0%
2013–14FLA78211536−617:0317611.9%319.151.6%
2014–15FLA78142438+1115:391519.3%914.850.6%
2015–16TOR6081624−611:58859.4%510.653.3%
Total5 teams49492161253+915:469849.3%62107.951.5%

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)
00.20.40.60.811.2100200300400
8m10m12m14m16m18m20m100200300400Game

Player card

Model-based

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

2nd line

68th 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

2nd line
  • Goals /600.7158th pct
  • Assists /601.2481st pct
  • ixG /600.8376th pct
  • Goals above expected−15.94th pct

Play-driving

2nd line
  • xGF% (5v5)51.5%71st pct
  • CF% (5v5)51.6%73rd pct
  • Relative xGF%+2.175th pct
  • Penalty diff /60-0.0733rd pct

Usage

2nd line
  • TOI per game15:4670th pct
  • PP time share44.1%80th pct
  • Offensive zone starts65.4%80th pct
  • Quality of competition24.6%71st 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. Kyle OkposoNYI0.92
  2. Brad RichardsDAL/NYR/CHI/DET0.92
  3. Andy McDonaldSTL0.92
  4. Ryan StromeNYI0.91
  5. Wojtek WolskiCOL/PHX/NYR/FLA/WSH0.91
  6. Derek StepanNYR0.91

Faceoffs

How often Boyes 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

46.8%

547–623 · below the 1339 draws of a regular

Against an average centre

47.1%

Opponents won 50.3% of their draws; an average centre would have won 49.7% against them.

Wins above average

−34

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

Draws per game

3.7

1,170 draws in all.

By dot, attacking to the right

47%102 · −0.250%139 · +1.748%485 · +1.845%22 · −1.339%56 · +1.338%24 · −1.145%55 · +1.554%87 · +1.643%200 · +1.7Attacking 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 zone47.9% 296–322
  • Neutral zone44.0% 114–145
  • Defensive zone46.8% 137–156

By strength

  • Even strength44.8% 409–503
  • Power play55.2% 127–103
  • Shorthanded31.8% 7–15

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +22 after a win, −5 after a loss. Each win was worth 1.4 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–1031144.4%44.7%
2010–1132042.5%42.6%
2011–1226747.2%47.5%
2012–131625.0%25.8%
2013–146953.6%54.1%
2014–1517356.1%56.9%
2015–161464.3%62.5%

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.

−15.9 goals above expected

020406080100120100200300400Game

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

−500+50+100