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Ice Lab

Goalie · #60 · Rookie

Nikita Tolopilo

Age
26
Catches
Left
Height
198 cm
Weight
104 kg
Born
Minsk, BLR
Draft
Undrafted

Career · 2024–25 to 2025–26

Games
23
Save %
.882
GAA
3.51
GSAx
−4.9
Wins
7
HD save %
.847

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
252 of 260 saved
.969
.969
Medium danger
223 of 276 saved
.808
.858
High danger
61 of 72 saved
.847
.750
Rebound control
+1.60
57 rebounds allowed; 65.6 expected for this shot mix
Goals saved above expected
−4.9
67.1 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. Nikita Tolopilo 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
.773.872.737.773.944.941.875.781.947.9331.0001.000.980

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.873
    221 shots · 28 goals · league .904−6.9 goals
  • Straight on.872
    149 shots · 19 goals · league .878−0.8 goals
  • Blocker side.895
    237 shots · 25 goals · league .904−2.2 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.

Wrist26820.92517.0−3.0
Snap15126.82814.4−11.6
Slap775.9353.7−1.3
Backhand467.8484.5−2.5
Tip-in4512.7333.4−8.6
Deflected91.8891.1+0.1
Poke51.8000.6−0.4
Wrap-around401.0000.2+0.2
Bat301.0000.2+0.2