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Ice Lab

Centre · #14

Greg McKegg

Toronto Maple Leafs Florida Panthers Tampa Bay Lightning Pittsburgh Penguins Carolina Hurricanes New York Rangers Boston Bruins(traded during the season)
Age
34
Shoots
Left
Height
183 cm
Weight
88 kg
Born
St. Thomas, CAN
Draft
2010, round 3, #62 (TOR)

Career · 2013–14 to 2021–22

Games
5
Goals
1
Points
1
TOI per game
9:34
xGF% (5v5)
42.5%
Goals above expected
+0.7

Season by season

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

2013–14TOR100003:4310.0%00.2100.0%
2014–15TOR300009:1110.0%00.119.3%
2015–16FLA15202+18:151414.3%00.944.3%
2016–17FLA31336−510:132810.7%01.940.7%
2016–17TBL15011+29:1680.0%00.645.1%
2016–17All teams46347−39:54368.3%02.542.1%
2017–18PIT26224−49:41219.5%01.850.0%
2018–19CAR416511−210:402722.2%04.150.4%
2019–20NYR53549−29:344012.5%06.542.2%
2020–21BOS5101−39:34425.0%00.342.5%
2021–22NYR43235−1110:52258.0%02.736.0%
Total7 teams233211839−249:5816912.4%019.043.5%

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)
Game

Player card

Model-based

How 2013–14 to 2021–22 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

Extra / AHL

10th 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 /600.5438th pct
  • Assists /600.4713th pct
  • ixG /600.4915th pct
  • Goals above expected+2.074th pct

Play-driving

Extra / AHL
  • xGF% (5v5)43.5%12th pct
  • CF% (5v5)43.6%9th pct
  • Relative xGF%−7.28th pct
  • Penalty diff /60-0.0337th pct

Usage

Extra / AHL
  • TOI per game9:5813th pct
  • PP time share1.8%15th pct
  • Offensive zone starts41.9%19th pct
  • Quality of competition22.6%9th 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

  1. Trevor SmithTOR0.95
  2. Gregory CampbellCBJ0.95
  3. Will Acton0.94
  4. Juho LammikkoVAN0.93
  5. Jakob LiljaCBJ0.93
  6. Michael ChaputVAN0.93

Faceoffs

How often McKegg wins the draw over 2013–14 to 2021–22, against whom and where, and what a win leads to. Ranked among players with 1729+ draws over the same seasons.

Win rate

49.1%

615–638 · below the 1729 draws of a regular

Against an average centre

49.1%

Opponents won 50.0% of their draws; an average centre would have won 50.0% against them.

Wins above average

−11

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

Draws per game

5.9

1,253 draws in all.

By dot, attacking to the right

50%224 · +1.152%191 · +1.739%137 · +1.560%63 · −0.135%51 · +0.558%69 · +1.246%50 · +0.652%257 · +1.346%211 · +2.4Attacking 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 zone46.6% 153–175
  • Neutral zone50.3% 230–227
  • Defensive zone49.6% 232–236

By strength

  • Even strength49.1% 561–582
  • Power play50.0% 12–12
  • Shorthanded48.8% 42–44

What a win leads to

Shot attempts in the next 20 seconds, for minus against, per 100 draws: +9 after a win, −20 after a loss. Each win was worth 1.4 expected goals per 100 draws more than a loss.

Most-faced opponents

Season by season

SeasonDrawsWin rateAgainst average
2013–14616.7%18.9%
2014–153351.5%49.8%
2015–1611145.0%44.9%
2016–1718050.0%50.3%
2017–1823349.4%49.3%
2018–1928651.0%51.3%
2019–2021149.3%48.8%
2020–213360.6%60.3%
2021–2216045.0%45.7%

Finishing

Model-based

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.

+0.7 goals above expected

00.20.40.60.8111.522.533.544.55Game

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

−500+50+100

Speed and tracking

From the NHL's EDGE tracking system (2021–22 on): skating speed, shot speed, distance and zone time, for the selected seasons and then every tracked season, to show improvement or decline.

Tracking data (NHL EDGE)

Values from the NHL's puck and player tracking, with the NHL's own league percentile for each. Missing values mean the player wasn't tracked enough.

Tracking

  • Top skating speed37.7 km/h96th pct
  • Speed bursts over 20 mph5149th pct
  • Hardest shot130.0 km/h24th pct
  • Distance skated123 km38th pct
  • Offensive-zone time40.1%27th pct
Tracking, season by season

Each season against the other forwards that season with 20+ games. A season in progress appears once half its games are played, as provisional: season bests only grow. Bursts and distance are per 60 minutes of ice time, so seasons with fewer games still compare. Percentiles are on these rates, so they can differ from the NHL's, which are on season totals.

This playerMedian forwardMiddle half (25th–75th percentile)Hollow dot: too few games to rank, or a season in progress (*, dashed). Dotted line: no NHL games that season.

Top skating speed

37.7 km/h95th pct

2021–22 only

34353637383921–222021–22: 37.7 km/h, 95th percentile (43 games)

Bursts over 20 mph per 60

6.564th pct

2021–22 only

24681021–222021–22: 6.5, 64th percentile (43 games)

Distance skated per 60

15.8 km61st pct

2021–22 only

14.51515.51616.521–222021–22: 15.8 km, 61st percentile (43 games)

Hardest shot

130.0 km/h7th pct

2021–22 only

12013014015016021–222021–22: 130.0 km/h, 7th percentile (43 games)

Offensive-zone time

40.1%30th pct

2021–22 only

38%40%42%44%46%21–222021–22: 40.1%, 30th percentile (43 games)