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Ice Lab
Age
46
Catches
Left
Height
185 cm
Weight
88 kg
Born
Saskatoon, CAN
Draft
2000, round 2, #60 (DAL)

Career · 2009–10 to 2014–15

Games
132
Save %
.901
GAA
2.89
GSAx
−31.4
Wins
52
HD save %
.683

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
1876 of 1956 saved
.959
.966
Medium danger
983 of 1130 saved
.870
.873
High danger
243 of 356 saved
.683
.731
Rebound control
−0.40
186 rebounds allowed; 173.6 expected for this shot mix
Goals saved above expected
−31.4
308.6 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. Dan Ellis 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
.934.911.830.909.927.974.923.908.934.988.963.944.9671.000

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.912
    1297 shots · 114 goals · league .923−14.6 goals
  • Straight on.851
    807 shots · 120 goals · league .877−20.5 goals
  • Blocker side.922
    1334 shots · 104 goals · league .926−5.8 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.

Wrist1,638149.909119.0−30.0
Slap77560.92330.7−29.3
Snap47339.91830.4−8.6
Backhand31141.86827.9−13.1
Tip-in14631.78818.9−12.1
Deflected5817.7077.0−10.0
Wrap-around413.9272.5−0.5