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Ice Lab

Left wing · #36

Andrew Agozzino

Colorado Avalanche Pittsburgh Penguins Anaheim Ducks Ottawa Senators San Jose Sharks Utah Mammoth(traded during the season)
Age
35
Shoots
Left
Height
178 cm
Weight
85 kg
Born
Kleinburg, CAN
Draft
Undrafted

Career · 8 seasons

Games
17
Goals
0
Points
2
TOI per game
6:36
xGF% (5v5)
53.3%
Goals above expected
−1.2

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 ice102:2253.5%53.6%53.3%53.2%1.891.65431,026.8
Team with player off ice689:4247.4%47.3%46.7%46.4%2.352.6826271,007.8
Relative (on − off)–6.1%–6.6%––––––

On-ice figures exclude 1 game with incomplete shift data.

Usage

Model-based

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

Quality of competition
–
Opponents' xGF%: –
Quality of teammates
–
Teammates' xGF%: –
Offensive zone starts
72.4%
71.6% 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 startsSimonTanevMcCannKahunLaffertyAston-ReeseBluegerGuentzelHornqvistCrosbyJohnsonSchultzMarinoDumoulinPetterssonLetangRustGalchenyukMalkinRuhwedelRiikolaAngelloZuckerTrotmanRodriguesShearyAgozzino

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
51.2%
43.6%