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Ice Lab

Left wing · #12

Daniel Paille

Age
42
Shoots
Left
Height
185 cm
Weight
91 kg
Born
Welland, CAN
Draft
2002, round 1, #20 (BUF)

Career · 2009–10 to 2015–16

Games
389
Goals
50
Points
96
TOI per game
11:57
xGF% (5v5)
48.3%
Goals above expected
+1.9

Season by season

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

2009–10BUF2011+110:2220.0%00.1–
2009–10BOS7410919−413:491188.5%011.7–
2009–10All teams76101020−313:431208.3%011.8–
2010–11BOS436713+311:184812.5%05.150.9%
2011–12BOS699615−511:308610.5%07.646.9%
2012–13BOS4610717+312:417014.3%18.050.9%
2013–14BOS729918+910:587112.7%06.651.1%
2014–15BOS716713−911:31669.1%08.146.7%
2015–16NYR12000−211:25110.0%00.932.1%
Total3 teams389504696−411:5747210.6%148.148.3%

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)
00.10.20.30.40.50.650100150200250300350
8m10m12m14m16m50100150200250300350Game

Player card

How 2009–10 to 2015–16 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

4th line

30th 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

3rd line
  • Goals /600.6548th pct
  • Assists /600.5924th pct
  • ixG /600.6240th pct
  • Goals above expected+1.971st pct

Play-driving

4th line
  • xGF% (5v5)48.3%41st pct
  • CF% (5v5)46.9%27th pct
  • Relative xGF%−5.117th pct
  • Penalty diff /600.3477th pct

Usage

4th line
  • TOI per game11:5732nd pct
  • PP time share1.2%10th pct
  • Offensive zone starts49.4%32nd pct
  • Quality of competition22.9%13th 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 Paille wins the draw over 2009–10 to 2015–16, against whom and where, and what a win leads to. Ranked among players with 1339+ draws over the same seasons.

Win rate

38.2%

21–34 · below the 1339 draws of a regular

Against an average centre

37.7%

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

Wins above average

−7

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

Draws per game

1.2

55 draws in all.

By dot, attacking to the right

0%1 · –73%11 · −0.340%10 · +1.520%5 · +0.733%6 · −2.70%4 · –36%11 · +3.029%7 · +0.8Attacking 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 zone57.1% 12–9
  • Neutral zone18.8% 3–13
  • Defensive zone33.3% 6–12

By strength

  • Even strength48.7% 19–20
  • Shorthanded12.5% 2–14

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: 0 after a win, −15 after a loss. Each win was worth 0.8 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–101330.8%31.6%
2011–12728.6%26.9%
2012–131020.0%18.8%
2013–141764.7%65.0%
2014–15728.6%25.8%
2015–1610.0%1.2%

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.

+1.9 goals above expected

0102030405050100150200250300350Game

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

−500+50+100