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Ice Lab
Age
32
Catches
Left
Height
196 cm
Weight
100 kg
Born
Thunder Bay, CAN
Draft
2012, round 3, #83 (PIT)

Career · 10 seasons

Games
279
Save %
.910
GAA
2.79
GSAx
−9.3
Wins
147
HD save %
.754

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
4147 of 4280 saved
.969
.968
Medium danger
2640 of 3026 saved
.872
.868
High danger
656 of 870 saved
.754
.754
Rebound control
−0.05
525 rebounds allowed; 521.4 expected for this shot mix
Goals saved above expected
−9.3
723.7 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. Matt Murray 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
.953.862.832.855.948.959.945.908.915.989.917.983.965.9741.000

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.919
    3046 shots · 246 goals · league .915+13.4 goals
  • Straight on.887
    2095 shots · 236 goals · league .883+9.0 goals
  • Blocker side.917
    3033 shots · 251 goals · league .917+0.3 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.

Wrist4,454371.917303.8−67.2
Snap1,299143.89097.6−45.4
Slap1,11872.93646.1−25.9
Backhand69572.89660.9−11.1
Tip-in44458.86942.5−15.5
Deflected10011.8908.1−2.9
Wrap-around594.9323.2−0.8
Poke41.7500.6−0.4
Bat31.6670.5−0.5