Edgehalla
Andrei Vasilevskiy headshotTampa Bay Lightning logo

Tampa Bay Lightning

Andrei Vasilevskiy

#88Goaltender6'4"218 lb

0.0 in 2 days
2026-27 regular season
1
GP
1 starts
0-1-0
Record
.833
SV%
24 SA
4.30
GAA

G · TBL · NHL id 8476883

Andrei Vasilevskiy has appeared in 1 game for the Tampa Bay Lightning in 2026-27, starting 1, with a 0-1-0 record and .833 save percentage on 24 shots (4 goals against). In 2025-26 he went 39-15-4 with a .912 save percentage in 58 games.

Right now

Recent workload and form

Last appearance
Oct 1 vs NYR
Started · 20/24 saves · L
Last 1 games
.833
20 saves on 24 shots
Starts
1 of 1
appearances this season
Minutes
55:52
per appearance

Starts and workload

2026-27 · last 1 appearances, oldest first

  1. Start.833NYR · L
Save % by game, line at .900

NHL EDGE tracking

2025-26 percentiles among goalies

Source: NHL EDGE

Only 1 GP in 2026-27; showing 2025-26 NHL EDGE data.

Save %96th97.912
High-danger save %89th90.844
Mid-range save %89th90.912
Long-range save %42nd42.969
5v5 save %67th68.913
Games above .90079th8060.4%
Goals-against average98th982.31
Percentile among position peers│ tick = 3-season weighted

Season-level NHL EDGE puck and player tracking, refreshed nightly. The percentile is the league rank among goalies this season; the label at the right is the raw value.

Shots against

2026-27 · 32 unblocked attempts faced, 24 on goal, 4 goals

Shot map, OPP at TBL: 32 attempts, 24 on goal, 4 goals, 2.50 expected goals; best chance Pavel Dorofeyev at 0.20 xG.

  • Even strength
  • Power play
  • Penalty kill
  • Goal
  • Shot on goal
  • Missed
  • Blocked
Blocked attempts are excluded; the net is at the right (or the top on phones). Strength is from the goalie's team's view.

2025-26 regular season. Rank is among all qualified players; the bar is his percentile among goalies. Each stat links to its explainer.

  • 2026-27 so far: 1 GP, 0 W, .833 SV%.

Goaltending

Unranked rows are below the sample minimum (20 GP, 200 five-on-five minutes, 100 draws or 10 goalie games).

Beyond the box score

2025-26 regular season · 58 games through the sequence engine

How shot classes work

Leaders
Save percentage by shot class against the league
ClassSASV%LeagueDiff
160.869.842+2.7 pts
168.911.920−1.0 pts
Cycle615.922.899+2.3 pts
Off the draw76.974.950+2.4 pts

Unblocked save % .941 vs .932 expected from his shot mix: +0.88 pts (±0.98)

Leaders
Prevented /100
+1.11
Rebounds
150vs 165.0 exp.
Rate
11.1%of 1353 saves

A rebound is an opponent attempt within 3 seconds of a save. Expected rebounds use the shot-by-shot model; positive means fewer second chances than expected.

Andrei Vasilevskiy: save % by window, by shot type and vs the top shooters →

Game log

1 game in 2026-27, newest first

DateOppResultDECSASVGA
Oct 1@ NYRL 1-5L24204.83355:52

Season splits by strength

2026-27 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGACA/60
All situations155:5255:52244.83349.4
Even strength142:1942:19213.85759.6
5v5140:1940:19203.85058.0
Power play110:5710:5700—0.0
Penalty kill12:332:3331.66794.1
4v412:002:00101.00090.0
5v4110:5410:5400—0.0
4v512:332:3331.66794.1

Career by season

Seasons in Edgehalla's data (2025-26 is being backfilled; earlier seasons follow)

SeasonTeamGPGSW-L-OTLSASVGAGAA
2026-27TBL110-1-024204.8334.30
2025-26PlayoffsTBL773-4-015614016.8972.18
2025-26TBL585839-15-414831353132.9122.31
2024-25PlayoffsTBL551-4-012510916.8723.27
2024-25TBL636338-20-517161581136.9212.18
2023-24PlayoffsTBL551-4-015614016.8973.22
2023-24TBL525230-20-214771329148.9002.90
2022-23PlayoffsTBL662-4-018416123.8753.56
2022-23TBL606034-22-418751716159.9152.65
2021-22PlayoffsTBL232314-9-075269359.9222.52
2021-22TBL636339-18-518681712156.9162.49
2020-21PlayoffsTBL232316-7-069965544.9371.90
2020-21TBL424231-10-11237114493.9252.21
2019-20TBL525235-14-316051472133.9172.56
2018-19PlayoffsTBL440-4-01048915.8563.82
2018-19TBL535339-10-417131585128.9252.40
2017-18PlayoffsTBL171711-6-052448143.9182.58
2017-18TBL656444-17-320751908167.9202.62

Andrei Vasilevskiy news

Headlines via LineupExperts. Links open the original publisher.

On-ice and deployment numbers are derived by Edgehalla from NHL play-by-play and shift data. Tracking percentiles are from NHL EDGE. Data updates after every game.