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Ice Lab
Age
46
Shoots
Left
Height
183 cm
Weight
81 kg
Born
Montréal, CAN
Draft
1998, round 2, #45 (MTL)

Career · 2009–10 to 2016–17

Games
559
Goals
111
Points
420
TOI per game
18:35
xGF% (5v5)
50.0%
Goals above expected
+24.2

Season by season

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

2009–10DAL66193453−519:3215512.3%2316.7–
2010–11DAL82195271−419:5816111.8%2318.048.8%
2011–12DAL74184563+520:0314212.7%1413.946.2%
2012–13WSH48133649−417:506320.6%277.044.5%
2013–14PHX80163147−1318:0011014.5%159.847.4%
2014–15NSH82154762+1118:459615.6%1210.354.5%
2015–16NSH8174350+1117:27769.2%157.756.6%
2016–17NSH4642125−515:583810.5%73.548.5%
Total4 teams559111309420−418:3584113.2%13686.850.0%

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)
00.511.5100200300400500
14m16m18m20m22m100200300400500Game

Player card

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

1st line

79th 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

2nd line
  • Goals /600.6449th pct
  • Assists /601.7898th pct
  • ixG /600.5017th pct
  • Goals above expected+24.296th pct

Play-driving

2nd line
  • xGF% (5v5)50.0%59th pct
  • CF% (5v5)52.1%79th pct
  • Relative xGF%+0.157th pct
  • Penalty diff /600.0646th pct

Usage

1st line
  • TOI per game18:3594th pct
  • PP time share56.2%95th pct
  • Offensive zone starts77.0%99th pct
  • Quality of competition24.9%82nd 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 Ribeiro 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

43.3%

3070–4013 · #181 of 191 regulars, 5th percentile

Against an average centre

43.8%

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

Wins above average

−438

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

Draws per game

12.7

7,083 draws in all.

By dot, attacking to the right

44%1319 · +0.745%1656 · +1.041%1417 · +2.048%289 · +0.633%316 · +0.944%330 · +0.541%265 · +0.946%805 · +1.143%686 · +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 zone43.3% 1327–1735
  • Neutral zone42.7% 1076–1443
  • Defensive zone44.4% 667–835

By strength

  • Even strength43.3% 2428–3175
  • Power play45.3% 515–621
  • Shorthanded37.1% 118–200

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +18 after a win, −8 after a loss. Each win was worth 1.1 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–10110244.8%45.7%
2010–11121346.6%47.3%
2011–1280842.2%42.9%
2012–1350544.8%44.7%
2013–1490343.3%43.6%
2014–15134843.2%43.6%
2015–1676037.9%38.0%
2016–1744441.2%41.3%

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.

+24.2 goals above expected

020406080100120100200300400500Game

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

−500+50+100