Skip to content
Ice Lab

Right wing

Nathan Horton

Age
41
Shoots
Right
Height
188 cm
Weight
104 kg
Born
Welland, CAN
Draft
2003, round 1, #3 (FLA)

Career · 2009–10 to 2013–14

Games
169
Goals
56
Points
107
TOI per game
16:20
xGF% (5v5)
54.4%
Goals above expected
+10.2

Season by season

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

2009–10FLA65203757−120:5315912.6%1115.8–
2010–11BOS80262753+2916:1718813.8%821.652.4%
2011–12BOS46171532015:569018.9%712.056.6%
2012–13BOS4313922+116:5111411.4%112.355.9%
2013–14CBJ3651419−315:274810.4%44.347.8%
Total3 teams27081102183+2617:1959913.5%3166.053.3%

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)
00.20.40.60.811.220406080100120140160
14m15m16m17m18m19m20406080100120140160Game

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

1st line

91st 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

1st line
  • Goals /601.0489th pct
  • Assists /601.3182nd pct
  • ixG /600.8573rd pct
  • Goals above expected+15.093rd pct

Play-driving

2nd line
  • xGF% (5v5)53.3%82nd pct
  • CF% (5v5)55.3%94th pct
  • Relative xGF%+2.274th pct
  • Penalty diff /60-0.1919th pct

Usage

1st line
  • TOI per game17:1981st pct
  • PP time share43.5%77th pct
  • Offensive zone starts66.5%82nd pct
  • Quality of competition25.4%90th 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 Horton 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

54.3%

63–53 · below the 929 draws of a regular

Against an average centre

54.5%

Opponents won 50.2% of their draws; an average centre would have won 49.8% against them.

Wins above average

+5

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

Draws per game

1.8

116 draws in all.

By dot, attacking to the right

75%4 · +3.450%8 · +2.252%63 · −0.90%1 · –86%7 · +0.229%7 · −0.558%26 · −4.1Attacking 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 zone52.9% 37–33
  • Neutral zone57.9% 11–8
  • Defensive zone55.6% 15–12

By strength

  • Even strength50.0% 35–35
  • Power play64.1% 25–14
  • Shorthanded50.0% 3–3

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +19 after a win, +6 after a loss. Each win was worth -1.0 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2009–108356.6%56.9%
2010–111942.1%42.7%
2011–12366.7%67.9%
2012–131050.0%48.9%
2013–141100.0%91.4%

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.

+10.2 goals above expected

010203040506020406080100120140160Game

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

−200+20+40+60+80+100