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Ice Lab
Age
33
Catches
Left
Height
191 cm
Weight
91 kg
Born
Härnösand, SWE
Draft
2011, round 7, #188 (CBJ)

Career · 12 seasons

Games
227
Save %
.905
GAA
2.97
GSAx
−4.4
Wins
90
HD save %
.757

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
2992 of 3091 saved
.968
.968
Medium danger
2161 of 2484 saved
.870
.868
High danger
565 of 746 saved
.757
.750
Rebound control
−0.32
546 rebounds allowed; 527.6 expected for this shot mix
Goals saved above expected
−4.4
598.6 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. Anton Forsberg 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
.893.887.796.877.933.961.913.898.916.9331.000.980.974.9901.000

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
    2421 shots · 212 goals · league .915−5.6 goals
  • Straight on.876
    1564 shots · 194 goals · league .882−9.5 goals
  • Blocker side.916
    2333 shots · 196 goals · league .917−3.1 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.

Wrist3,417258.924227.6−30.4
Snap1,050125.88189.6−35.4
Slap77966.91537.2−28.8
Backhand53366.87648.2−17.8
Tip-in35953.85231.5−21.5
Deflected12330.75613.0−17.0
Wrap-around432.9532.00.0
Poke71.8570.8−0.2
Bat61.8330.6−0.4
Between legs301.0000.4+0.4
Other11.0001.00.0