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Ice Lab

Centre · #14

Travis Zajac

New Jersey Devils New York Islanders(traded during the season)
Age
41
Shoots
Right
Height
188 cm
Weight
84 kg
Born
Winnipeg, CAN
Draft
2004, round 1, #20 (NJD)

Career · 2009–10 to 2020–21

Games
793
Goals
152
Points
414
TOI per game
19:07
xGF% (5v5)
50.7%
Goals above expected
0.0
ShowAll teamsNew Jersey DevilsNew York Islanders

Season by season

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

2009–10NJD82254267+2220:1321011.9%2120.3–
2010–11NJD82133144−619:471737.5%1015.251.6%
2011–12NJD15246−317:22258.0%12.744.8%
2012–13NJD4871320−519:32828.5%410.857.2%
2013–14NJD80183048+320:1916510.9%1519.459.9%
2014–15NJD74111425−319:041129.8%713.249.6%
2015–16NJD74142842+319:5111112.6%1713.547.3%
2016–17NJD80143145−819:4412611.1%1214.051.4%
2017–18NJD63121426−817:549113.2%611.648.6%
2018–19NJD80192746−2519:1612015.8%1214.849.1%
2019–20NJD6991625−1217:067212.5%110.145.5%
2020–21NJD3371118016:593420.6%14.945.9%
2020–21NYI13112−114:57166.3%01.545.5%
2020–21All teams4681220−116:255016.0%16.345.8%
Total2 teams793152262414−4319:071,33711.4%107152.050.7%

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)
00.51100200300400500600700
14m16m18m20m22m24m100200300400500600700Game

Player card

Model-based

How 2009–10 to 2020–21 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

2nd line

71st 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 /600.6043rd pct
  • Assists /601.0467th pct
  • ixG /600.6033rd pct
  • Goals above expected0.061st pct

Play-driving

2nd line
  • xGF% (5v5)50.7%67th pct
  • CF% (5v5)50.3%64th pct
  • Relative xGF%+1.272nd pct
  • Penalty diff /600.0040th pct

Usage

1st line
  • TOI per game19:0797th pct
  • PP time share42.0%79th pct
  • Offensive zone starts45.1%25th pct
  • Quality of competition25.4%95th 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. Antoine VermetteCBJ/PHX/ARI/ANA0.88
  2. David LegwandNSH/DET/OTT/BUF0.88
  3. Valtteri FilppulaDET/TBL/PHI/NYI0.84
  4. Daymond LangkowCGY0.84
  5. Ryan O'ReillyCOL/BUF/STL0.83
  6. Joel WardNSH/WSH/SJS0.83

Faceoffs

How often Zajac wins the draw over 2009–10 to 2020–21, against whom and where, and what a win leads to. Ranked among players with 2256+ draws over the same seasons.

Win rate

54.1%

7331–6222 · #31 of 199 regulars, 85th percentile

Against an average centre

54.6%

Opponents won 50.5% of their draws; an average centre would have won 49.5% against them.

Wins above average

+626

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

Draws per game

17.1

13,553 draws in all.

By dot, attacking to the right

56%2509 · +0.751%1542 · +1.857%2754 · +1.953%388 · +0.358%497 · +0.955%437 · +1.157%466 · +0.949%1826 · +1.554%3134 · +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 zone54.8% 2346–1938
  • Neutral zone55.8% 2396–1901
  • Defensive zone52.1% 2589–2383

By strength

  • Even strength54.1% 5402–4580
  • Power play59.2% 1025–707
  • Shorthanded48.6% 861–912

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +14 after a win, −14 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
2009–10135952.6%53.1%
2010–11127855.3%55.5%
2011–1220457.8%57.7%
2012–1388157.4%57.7%
2013–14139454.6%54.7%
2014–15120053.4%53.7%
2015–16138751.6%52.3%
2016–17161754.7%55.4%
2017–18109450.9%51.8%
2018–19144658.2%59.0%
2019–20109052.8%53.5%
2020–2160351.4%52.0%

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.

0.0 goals above expected

050100150100200300400500600700Game

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

−500+50+100+150