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Ice Lab
Age
50
Catches
Left
Height
183 cm
Weight
90 kg
Born
Red Deer, CAN
Draft
1995, round 5, #122 (NJD)

Career · 2009–10 to 2012–13

Games
125
Save %
.903
GAA
2.84
GSAx
−8.1
Wins
52
HD save %
.739

Saves by danger

Average goalies stop nearly every low-danger shot; the great ones separate themselves on the hard chances.

Save percentage by danger tier

Bars start at .600 so the differences show.

Low danger
1685 of 1767 saved
.954
.966
Medium danger
948 of 1080 saved
.878
.873
High danger
283 of 383 saved
.739
.731
Rebound control
+0.06
166 rebounds allowed; 167.7 expected for this shot mix
Goals saved above expected
−8.1
305.9 xG faced

Where the goals went in

Each red dot is a goal allowed. The shading shows where this goalie faced more (red) or fewer (blue) shots than an average goalie per 60 minutes.

Goal Saved MissedBigger marks were better chances (higher xG).
Fewer than league averageMore than league average(red is bad: more shots against)

Glove side, blocker side

Model-based

Where the shots on goal came from, relative to the goalie’s glove hand, and how the saves compare with the league.

Save percentage by angle and distance

From the shooter’s view, with the net at the top. Chris Mason catches with the left hand, so the glove is on the right here. Blue zones beat the league save percentage for the same zone; red fall short. Grey: fewer than 10 shots.

Blocker sideGlove side
.919.941.851.856.912.976.938.945.963.964.955.976.960

Hover a zone for the numbers.

By side

Goals saved (+) or allowed (−) compared with a league-average save rate on the same shots.

  • Glove side.907
    1231 shots · 114 goals · league .924−20.0 goals
  • Straight on.888
    797 shots · 89 goals · league .875+10.6 goals
  • Blocker side.910
    1198 shots · 108 goals · league .925−18.7 goals

The NHL’s public data records where a shot was taken, not where it crossed the goal line, so a true glove-high, blocker-low map isn’t possible. The side the shot came from is the closest honest stand-in: a wide shot from the glove side mostly tests the glove.

By shot type

Model-based

Which shots beat this goalie, against what the shot quality predicted.

Wrist1,489151.899113.8−37.2
Slap73840.94632.1−7.9
Snap48650.89733.1−16.9
Backhand27230.89028.1−1.9
Tip-in13926.81318.3−7.7
Deflected6916.7687.0−9.0
Wrap-around371.9731.8+0.8