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Ice Lab

Right wing · #18

Drew Stafford

Buffalo Sabres Winnipeg Jets Boston Bruins New Jersey Devils(traded during the season)
Age
40
Shoots
Right
Height
188 cm
Weight
98 kg
Born
Milwaukee, USA
Draft
2004, round 1, #13 (BUF)

Career · 2009–10 to 2018–19

Games
657
Goals
147
Points
318
TOI per game
15:59
xGF% (5v5)
47.7%
Goals above expected
+2.6
ShowAll teamsBuffalo SabresWinnipeg JetsBoston BruinsNew Jersey Devils

Season by season

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

2009–10BUF71142034+414:281817.7%1116.4–
2010–11BUF62312152+1316:3217917.3%1917.452.1%
2011–12BUF80203050+517:392268.8%622.051.1%
2012–13BUF4661218−1617:011215.0%38.343.0%
2013–14BUF70161834−1918:381858.6%718.044.8%
2014–15BUF5091524−1815:59919.9%59.737.2%
2014–15WPG2691019+617:305616.1%46.556.0%
2014–15All teams76182543−1216:3014712.2%916.244.3%
2015–16WPG78211738−2317:5218711.2%917.249.6%
2016–17WPG404913−213:18685.9%35.649.0%
2016–17BOS18448+814:16419.8%13.052.7%
2016–17All teams5881321+613:361097.3%48.750.3%
2017–18NJD598715−2013:521027.8%512.846.5%
2018–19NJD575813−712:16776.5%27.545.5%
Total4 teams657147171318−6915:591,5149.7%75144.447.7%

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
10m12m14m16m18m20m22m100200300400500600Game

Player card

Model-based

How 2009–10 to 2018–19 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

2nd line

63rd 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 /600.8474th pct
  • Assists /600.9862nd pct
  • ixG /600.8273rd pct
  • Goals above expected+2.674th pct

Play-driving

4th line
  • xGF% (5v5)47.7%35th pct
  • CF% (5v5)46.9%27th pct
  • Relative xGF%−0.157th pct
  • Penalty diff /60-0.1128th pct

Usage

2nd line
  • TOI per game15:5976th pct
  • PP time share39.6%76th pct
  • Offensive zone starts58.1%54th pct
  • Quality of competition24.6%74th 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. Vincent LecavalierTBL/PHI/LAK0.92
  2. Michael CammalleriMTL/CGY/NJD0.91
  3. Jarome IginlaCGY/PIT/BOS/COL0.90
  4. Phil KesselTOR/PIT0.86
  5. Dany HeatleySJS/MIN0.86
  6. Mike HoffmanOTT/FLA0.86

Faceoffs

How often Stafford wins the draw over 2009–10 to 2018–19, against whom and where, and what a win leads to. Ranked among players with 1944+ draws over the same seasons.

Win rate

48.3%

447–479 · below the 1944 draws of a regular

Against an average centre

48.8%

Opponents won 50.6% of their draws; an average centre would have won 49.4% against them.

Wins above average

−11

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

Draws per game

2.6

926 draws in all.

By dot, attacking to the right

37%68 · +0.240%102 · +1.052%384 · +1.937%19 · +0.158%38 · +1.963%16 · −0.658%40 · −0.746%50 · +5.347%209 · +1.0Attacking 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 zone49.1% 238–247
  • Neutral zone48.1% 87–94
  • Defensive zone46.9% 122–138

By strength

  • Even strength50.0% 314–314
  • Power play48.4% 105–112
  • Shorthanded35.0% 28–52

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +16 after a win, −15 after a loss. Each win was worth 1.5 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–108647.7%48.4%
2010–115630.4%30.9%
2011–128652.3%52.2%
2012–138444.0%45.6%
2013–1419753.8%53.8%
2014–1517449.4%50.6%
2015–1610150.5%50.3%
2016–172231.8%35.1%
2017–188150.6%51.3%
2018–193941.0%41.3%

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.

+2.6 goals above expected

050100150100200300400500600Game

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

−500+50+100+150