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Ice Lab

Centre · #45

Kris Newbury

Age
44
Shoots
Left
Height
180 cm
Weight
93 kg
Born
Brampton, CAN
Draft
2002, round 5, #139 (SJS)

Career · 2009–10 to 2013–14

Games
32
Goals
1
Points
4
TOI per game
7:06
xGF% (5v5)
41.8%
Goals above expected
−0.7

Season by season

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

2009–10DET4101+18:41333.3%00.2–
2010–11NYR11011−17:3860.0%00.546.9%
2011–12NYR7000−15:5320.0%00.133.2%
2012–13NYR6011+17:5340.0%00.739.9%
2013–14PHI401105:0210.0%00.145.4%
Total3 teams3213407:06166.3%01.741.8%

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)
00.050.10.150.21015202530
5m6m7m8m9m1015202530Game

Player card

How 2009–10 to 2013–14 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

Extra / AHL

4th 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 /600.267th pct
  • Assists /600.7937th pct
  • ixG /600.449th pct
  • Goals above expected−0.752nd pct

Play-driving

Extra / AHL
  • xGF% (5v5)41.8%6th pct
  • CF% (5v5)43.4%7th pct
  • Relative xGF%−8.65th pct
  • Penalty diff /60-2.110th pct

Usage

Extra / AHL
  • TOI per game7:063rd pct
  • PP time share2.6%20th pct
  • Offensive zone starts57.7%51st pct
  • Quality of competition22.7%9th 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). This player is below the threshold, so the percentiles and ratings are for reference only.

Most similar players this season

Needs a regular role to compare.

Faceoffs

How often Newbury wins the draw over 2009–10 to 2013–14, against whom and where, and what a win leads to. Ranked among players with 929+ draws over the same seasons.

Win rate

50.4%

69–68 · below the 929 draws of a regular

Against an average centre

49.5%

Opponents won 49.1% of their draws; an average centre would have won 50.9% against them.

Wins above average

−1

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

Draws per game

4.7

137 draws in all.

By dot, attacking to the right

58%19 · −0.455%33 · +1.539%23 · −1.057%7 · 0.043%7 · −4.071%7 · −8.917%6 · −0.965%26 · +4.711%9 · +3.2Attacking 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 zone48.2% 27–29
  • Neutral zone52.2% 24–22
  • Defensive zone51.4% 18–17

By strength

  • Even strength51.2% 66–63
  • Power play20.0% 1–4
  • Shorthanded50.0% 1–1

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +13 after a win, +3 after a loss. Each win was worth 0.4 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–101838.9%41.0%
2010–115660.7%58.9%
2011–121735.3%35.3%
2012–133250.0%49.1%
2013–141442.9%41.2%

Finishing

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.

−0.7 goals above expected

00.511.551015202530Game

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

−200+20+40+60+80+100