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Ice Lab
Age
33
Shoots
Left
Height
180 cm
Weight
86 kg
Born
Landshut, DEU
Draft
2011, round 4, #114 (EDM)

Career · 2014–15 to 2020–21

Games
478
Goals
64
Points
145
TOI per game
14:59
xGF% (5v5)
45.4%
Goals above expected
−24.6

Season by season

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

2014–15ARI7213821−1916:541896.9%216.944.9%
2015–16ARI82142337−2117:181897.4%817.747.1%
2016–17ARI80161834−817:1915510.3%617.443.0%
2017–18ARI5881119−1115:178010.0%39.745.4%
2017–18LAK20426−112:503411.8%03.048.1%
2017–18All teams78121325−1214:3911410.5%312.746.1%
2018–19EDM6701111−812:39920.0%28.846.3%
2019–20CGY554610−1211:05775.2%09.652.0%
2020–21BUF44527−912:15637.9%05.539.1%
Total5 teams4786481145−8914:598797.3%2188.645.4%

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)
00.20.40.60.81100200300400
10m12m14m16m18m20m100200300400Game

Player card

How 2014–15 to 2020–21 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

3rd line

41st 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 /600.5435th pct
  • Assists /600.6831st pct
  • ixG /600.7460th pct
  • Goals above expected−24.61st pct

Play-driving

3rd line
  • xGF% (5v5)45.4%19th pct
  • CF% (5v5)47.2%30th pct
  • Relative xGF%−0.652nd pct
  • Penalty diff /600.5591st pct

Usage

2nd line
  • TOI per game14:5968th pct
  • PP time share18.8%51st pct
  • Offensive zone starts43.1%22nd pct
  • Quality of competition24.7%80th 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).

Faceoffs

How often Rieder wins the draw over 2014–15 to 2020–21, against whom and where, and what a win leads to. Ranked among players with 1327+ draws over the same seasons.

Win rate

30.2%

54–125 · below the 1327 draws of a regular

Against an average centre

30.3%

Opponents won 50.1% of their draws; an average centre would have won 49.9% against them.

Wins above average

−35

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

Draws per game

1.6

179 draws in all.

By dot, attacking to the right

18%17 · −0.349%39 · +1.935%34 · +1.938%8 · +0.80%3 · –17%6 · 0.017%6 · +0.422%36 · +2.623%30 · +2.7Attacking 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 zone42.5% 31–42
  • Neutral zone20.0% 8–32
  • Defensive zone22.7% 15–51

By strength

  • Even strength27.7% 39–102
  • Power play69.2% 9–4
  • Shorthanded24.0% 6–19

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +39 after a win, −18 after a loss. Each win was worth 2.3 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2014–15520.0%21.0%
2015–162934.5%35.1%
2016–171330.8%31.9%
2017–184647.8%47.8%
2018–192520.0%19.2%
2019–205320.8%20.3%
2020–21812.5%15.4%

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.

−24.6 goals above expected

020406080100100200300400Game

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

−40−200+20+40+60+80