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Ice Lab

Right wing · #44

Chris Stewart

Colorado Avalanche St. Louis Blues Buffalo Sabres Minnesota Wild Anaheim Ducks Calgary Flames Philadelphia Flyers(traded during the season)
Age
38
Shoots
Right
Height
188 cm
Weight
110 kg
Born
Toronto, CAN
Draft
2006, round 1, #18 (COL)

Career · 10 seasons

Games
113
Goals
41
Points
94
TOI per game
16:46
xGF% (5v5)
52.4%
Goals above expected
+9.0

Season by season

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

2009–10COL77283664+416:4222112.7%1321.9–
2010–11COL36131730−1016:569513.7%710.052.4%
2010–11STL2615823+418:166722.4%88.055.8%
2010–11All teams62282553−617:2916217.3%1518.053.9%
2011–12STL79151530+115:261669.0%418.151.3%
2012–13STL48181836015:499718.6%1210.946.2%
2013–14STL58151126+213:4210714.0%611.750.5%
2013–14BUF5000−213:3630.0%00.743.6%
2013–14All teams63151126013:4111013.6%612.549.8%
2014–15BUF61111425−3016:001169.5%1012.534.3%
2014–15MIN203811+415:31397.7%03.053.6%
2014–15All teams81142236−2615:531559.0%1015.638.4%
2015–16ANA5681220+210:487810.3%57.249.3%
2016–17MIN7913821+310:238215.9%27.344.3%
2017–18MIN479413−110:435915.3%16.545.9%
2017–18CGY7123−410:55911.1%01.046.8%
2017–18All teams5410616−510:456814.7%17.546.1%
After a break: 2019–20PHI16011−77:4750.0%01.024.5%
Total7 teams615149154303−3414:021,14413.0%68120.046.9%

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)
00.511.5220406080100
10m12m14m16m18m20m20406080100Game

Player card

Model-based

How 10 seasons compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

3rd line

53rd 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 /601.0489th pct
  • Assists /601.0768th pct
  • ixG /600.8374th pct
  • Goals above expected+29.098th pct

Play-driving

Extra / AHL
  • xGF% (5v5)46.9%29th pct
  • CF% (5v5)45.5%16th pct
  • Relative xGF%−5.115th pct
  • Penalty diff /60-0.2614th pct

Usage

2nd line
  • TOI per game14:0256th pct
  • PP time share28.5%63rd pct
  • Offensive zone starts66.0%81st pct
  • Quality of competition24.2%56th 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. Rene BourqueCGY/MTL/CBJ/COL0.80
  2. Andrei KostitsynMTL/NSH0.80
  3. Patrik LaineWPG0.79
  4. Thomas VanekBUF/NYI/MIN/FLA/VAN/CBJ0.78
  5. Kyle ConnorWPG0.77
  6. Mike KnubleWSH0.77

Faceoffs

How often Stewart wins the draw over 10 seasons, against whom and where, and what a win leads to. Ranked among players with 1912+ draws over the same seasons.

Win rate

30.6%

57–129 · below the 1912 draws of a regular

Against an average centre

31.1%

Opponents won 50.4% of their draws; an average centre would have won 49.6% against them.

Wins above average

−35

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

Draws per game

1.4

186 draws in all.

By dot, attacking to the right

30%10 · +0.928%25 · +1.131%94 · +1.333%3 · +0.233%6 · +3.650%4 · +1.936%11 · +0.829%7 · +0.927%26 · +1.6Attacking 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 zone30.3% 36–83
  • Neutral zone35.3% 12–22
  • Defensive zone27.3% 9–24

By strength

  • Even strength34.6% 53–100
  • Power play13.3% 4–26
  • Shorthanded0.0% 0–1

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +18 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
2009–10837.5%38.0%
2010–113240.6%41.6%
2011–121323.1%19.9%
2012–132729.6%31.2%
2013–143534.3%34.9%
2014–154124.4%24.7%
2015–16933.3%35.5%
2016–171118.2%17.4%
2017–181030.0%30.1%

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.

+9.0 goals above expected

01020304020406080100Game

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

−500+50+100+150