- Age
- 40
- Shoots
- Left
- Height
- 180 cm
- Weight
- 81 kg
- Born
- Whitby, CAN
- Draft
- 2004, round 4, #112 (EDM)
Career · 2009–10 to 2010–11
- Games
- 53
- Goals
- 1
- Points
- 12
- TOI per game
- 14:35
- xGF% (5v5)
- 48.6%
- Goals above expected
- −7.0
Season by season
The regular-season line for each season, with the total, by team for traded players.
Form
Rolling averages smooth out single games so the trend shows.
Points and individual expected goals per game (left scale), averaged over the previous ten games. Ice time is on the second chart.
Player card
How 2009–10 to 2010–11 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%.
- 1st line
- 2nd line
- 3rd line
- 4th line
- Extra / AHL
Scoring
Extra / AHL- Goals /600.081st pct
- Assists /600.8535th pct
- ixG /600.6228th pct
- Goals above expected−7.08th pct
Play-driving
3rd line- xGF% (5v5)48.6%38th pct
- CF% (5v5)46.3%19th pct
- Relative xGF%+3.877th pct
- Penalty diff /600.4780th pct
Usage
4th line- TOI per game14:3546th pct
- PP time share5.8%28th pct
- Offensive zone starts36.1%11th pct
- Quality of competition24.0%33rd 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
Faceoffs
How often Reddox wins the draw over 2009–10 to 2010–11, against whom and where, and what a win leads to. Ranked among players with 405+ draws over the same seasons.
Win rate
33.1%
41–83 · below the 405 draws of a regular
Against an average centre
33.4%
Opponents won 50.3% of their draws; an average centre would have won 49.7% against them.
Wins above average
−21
Draws won beyond what an average centre facing the same opponents would have won.
Draws per game
4.6
124 draws in all.
By dot, attacking to the right
Win rate at each dot; the small numbers are draws and the xG swing (×100) of winning rather than losing there.
By zone
- Offensive zone33.3% 12–24
- Neutral zone44.2% 19–24
- Defensive zone22.2% 10–35
By strength
- Even strength31.8% 34–73
- Power play60.0% 3–2
- Shorthanded33.3% 4–8
What a win leads to
Shot attempts in the next 20 seconds, for minus against, per 100 draws: +15 after a win, −13 after a loss. Each win was worth 1.7 expected goals per 100 draws more than a loss.
Most-faced opponents
- Matt Duchene50.0% 3–3
- Rob Schremp0.0% 0–5
- Ryan Kesler25.0% 1–3
- Michal Handzus50.0% 2–2
- John Madden0.0% 0–4
- David Desharnais0.0% 0–4
- David Legwand50.0% 2–2
- Manny Malhotra33.3% 1–2
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.
−7.0 goals above expected
Goals above expected, everyone at the same position with 20+ games