Goalie · #41

Vitek Vanecek

Washington Capitals

New Jersey Devils

San Jose Sharks

Florida Panthers

Utah Mammoth(traded during the season)

Age: 30
Catches: Left
Height: 188 cm
Weight: 85 kg
Born: Havlickuv Brod, CZE
Draft: 2014, round 2, #39 (WSH)

Career · 2020–21 to 2025–26

Games: 210
Save %: .900
GAA: 2.84
GSAx: −28.1
Wins: 101
HD save %: .722

ShowAll teams Washington Capitals New Jersey Devils San Jose Sharks Florida Panthers Utah Mammoth

Saves by danger

Model-based

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

2717 of 2792 saved

.973

.969

Medium danger

1845 of 2149 saved

.859

.866

High danger

457 of 633 saved

.722

.754

Rebound control

+0.16

467 rebounds allowed; 475.0 expected for this shot mix

Goals saved above expected

−28.1

526.9 xG faced

Where the goals went in

Model-based

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. Vitek Vanecek 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

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.906
2050 shots · 192 goals · league .910−6.9 goals
Straight on.881
1474 shots · 175 goals · league .881+1.0 goals
Blocker side.909
2048 shots · 186 goals · league .911−4.2 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.


Wrist	2,885	266	.908	175.5	−90.5
Snap	983	93	.905	88.2	−4.8
Slap	724	56	.923	37.1	−18.9
Backhand	454	66	.855	39.1	−26.9
Tip-in	365	56	.847	31.7	−24.3
Deflected	81	8	.901	7.6	−0.4
Wrap-around	49	6	.878	2.7	−3.3
Poke	23	2	.913	2.5	+0.5
Bat	6	1	.833	0.8	−0.2
Between legs	3	0	1.000	0.1	+0.1
Cradle	1	1	.000	0.0	−1.0