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Ice Lab

Centre · #83

Vernon Fiddler

Phoenix Coyotes Dallas Stars New Jersey Devils Nashville Predators(traded during the season)
Age
46
Shoots
Left
Height
180 cm
Weight
93 kg
Born
Edmonton, CAN
Draft
Undrafted

Career · 2009–10 to 2016–17

Games
366
Goals
43
Points
112
TOI per game
12:59
xGF% (5v5)
47.6%
Goals above expected
−2.2
ShowAll teamsPhoenix CoyotesDallas StarsNew Jersey DevilsNashville Predators

Season by season

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

2009–10PHX7682230+1314:211196.7%011.2–
2010–11PHX7161622+315:33976.2%19.445.4%
2011–12DAL8281321−1313:591236.5%110.142.9%
2012–13DAL4641317+312:51567.1%24.845.1%
2013–14DAL7661723+313:171095.5%17.945.5%
2014–15DAL80131629−513:081329.8%311.851.1%
2015–16DAL82121022+511:389812.2%210.753.3%
2016–17NJD39123−1112:14372.7%02.744.8%
2016–17NSH20101−410:31119.1%01.431.1%
2016–17All teams59224−1511:39484.2%04.240.7%
Total4 teams57259109168−613:217827.5%1069.946.6%

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)
00.20.40.60.811.250100150200250300350
10m12m14m16m18m50100150200250300350Game

Player card

Model-based

How 2009–10 to 2016–17 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

4th line

26th 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

4th line
  • Goals /600.4627th pct
  • Assists /600.8651st pct
  • ixG /600.5526th pct
  • Goals above expected−10.910th pct

Play-driving

4th line
  • xGF% (5v5)46.6%28th pct
  • CF% (5v5)46.8%26th pct
  • Relative xGF%−4.519th pct
  • Penalty diff /600.4282nd pct

Usage

3rd line
  • TOI per game13:2148th pct
  • PP time share4.6%28th pct
  • Offensive zone starts28.5%3rd pct
  • Quality of competition23.8%43rd 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. Tanner KeroCHI0.92
  2. Tom PyattMTL/TBL/OTT0.91
  3. Dominic MooreTBL/SJS/NYR/BOS0.90
  4. Boyd GordonWSH/PHX/EDM/ARI0.90
  5. Adam BurishCHI/DAL/SJS0.89
  6. Max TalbotPIT/PHI/COL/BOS0.89

Faceoffs

How often Fiddler wins the draw over 2009–10 to 2016–17, against whom and where, and what a win leads to. Ranked among players with 1539+ draws over the same seasons.

Win rate

52.2%

4008–3670 · #51 of 191 regulars, 74th percentile

Against an average centre

52.4%

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

Wins above average

+188

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

Draws per game

13.4

7,678 draws in all.

By dot, attacking to the right

56%1264 · +0.457%794 · +1.739%736 · +1.558%278 · +0.448%262 · +1.361%340 · +0.749%276 · +2.457%2100 · +2.546%1628 · +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 zone48.7% 752–793
  • Neutral zone55.0% 1330–1090
  • Defensive zone51.9% 1926–1787

By strength

  • Even strength53.7% 3042–2618
  • Power play51.4% 95–90
  • Shorthanded47.2% 850–950

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +6 after a win, −21 after a loss. Each win was worth 1.6 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–10112152.5%52.8%
2010–11122453.9%54.3%
2011–12104950.9%51.1%
2012–1361951.5%52.3%
2013–1498252.2%52.4%
2014–15109751.9%52.2%
2015–1689750.7%50.8%
2016–1768953.7%53.4%

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.

−2.2 goals above expected

0102030405050100150200250300350Game

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

−500+50+100