Skip to content
Ice Lab

Centre · #20

Jayson Megna

Pittsburgh Penguins New York Rangers Vancouver Canucks Colorado Avalanche Anaheim Ducks Boston Bruins(traded during the season)
Age
36
Shoots
Right
Height
183 cm
Weight
86 kg
Born
Fort Lauderdale, USA
Draft
Undrafted

Career · 10 seasons

Games
6
Goals
1
Points
2
TOI per game
12:15
xGF% (5v5)
52.9%
Goals above expected
−0.3

On the ice at 5-on-5

Model-based

What happened with this player on the ice, what happened when they sat, and the difference. Adjusted columns correct for score and venue.

On ice63:0250.8%50.0%52.9%52.0%2.912.5923946.7
Team with player off ice239:3856.9%55.1%57.9%56.7%3.232.351341,060.0
Relative (on − off)–-6.1%–-5.0%––––––

Usage

Model-based

Who the player was trusted to face, and with whom.

Quality of competition
25.0%
Opponents' xGF%: 49.3%
Quality of teammates
25.8%
Teammates' xGF%: 47.7%
Offensive zone starts
68.6%
52.3% of shifts start on the fly
Deployment among teammates

Across: share of zone starts in the attacking end (sheltered usage to the right). Up: quality of the opponents faced. Bubble size is 5-on-5 ice time; colour is relative xGF%, blue when the team does better with the player on the ice.

10%20%30%40%50%60%70%80%90%22.523.023.524.024.525.025.526.0Offensive zone start % →↑ Quality of competitionTough minutes, defensive startsTough minutes, offensive startsSheltered, defensive startsSheltered, offensive startsMillerPyattDorsettBrassardRichardsKreiderStepanBoyleCallahanZuccarelloHagelinPouliotZottoGirardiStralmanMooreStaalMcDonaghCarcilloMooreNashKleinStempniakHayesGlassFastLouisBoyleLindbergStalbergYandleMcIlrathPaille

Close and late

Model-based

Is the player on the ice, and effective, when games are decided?

When it matters

On-ice results in all situations against the close-and-late state: the third period or overtime, tied or within a goal.

All situationsClose and late
On-ice xGF% at 5v5
44.4%
45.6%