Edgehalla
Sergei Bobrovsky headshotToronto Maple Leafs logo

Toronto Maple Leafs

Sergei Bobrovsky

#72Goaltender6'2"185 lb

0.0 in 2 days
2026-27 regular season
1
GP
1 starts
0-1-0
Record
.875
SV%
24 SA
3.06
GAA

G · TOR · NHL id 8475683

Sergei Bobrovsky has appeared in 1 game for the Toronto Maple Leafs in 2026-27, starting 1, with a 0-1-0 record and .875 save percentage on 24 shots (3 goals against). In 2025-26 he went 27-23-1 with a .877 save percentage in 52 games.

Right now

Recent workload and form

Last appearance
Sep 29 vs MTL
Started · 21/24 saves · L
Last 1 games
.875
21 saves on 24 shots
Starts
1 of 1
appearances this season
Minutes
58:45
per appearance

Starts and workload

2026-27 · last 1 appearances, oldest first

  1. Start.875MTL · 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 %11th12.877
High-danger save %3rd3.758
Mid-range save %49th49.885
Long-range save %49th49.969
5v5 save %11th12.887
Games above .90020th2039.2%
Goals-against average32nd323.07
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 · 36 unblocked attempts faced, 24 on goal, 3 goals

Shot map, OPP at TOR: 36 attempts, 24 on goal, 3 goals, 2.32 expected goals; best chance Josh Anderson at 0.46 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, .875 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 · 52 games through the sequence engine

How shot classes work

Leaders
Save percentage by shot class against the league
ClassSASV%LeagueDiff
123.748.842−9.4 pts
125.928.920+0.8 pts
Cycle499.876.899−2.3 pts
Off the draw69.957.950+0.7 pts

Unblocked save % .921 vs .932 expected from his shot mix: −1.13 pts (±1.20)

Leaders
Prevented /100
−0.49
Rebounds
139vs 133.7 exp.
Rate
12.7%of 1096 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.

Sergei Bobrovsky: save % by window, by shot type and vs the top shooters →

Game log

1 game in 2026-27, newest first

DateOppResultDECSASVGA
Sep 29vs MTLL 2-3L24213.87558:45

Season splits by strength

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

StrengthGPTOI/GPSAGACA/60
All situations158:4558:45243.87552.1
Even strength148:2148:21213.85753.4
5v5146:2146:21193.84251.8
Power play16:006:0000—0.0
Penalty kill14:004:00301.000120.0
4v412:002:00201.00090.0
5v416:006:0000—0.0
4v514:004:00301.000120.0

Career by season

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

SeasonTeamGPGSW-L-OTLSASVGAGAA
2026-27TOR110-1-024213.8753.06
2025-26FLA525127-23-112501096154.8773.07
2024-25PlayoffsFLA232316-7-061856553.9142.20
2024-25FLA545433-19-213771247130.9062.44
2023-24PlayoffsFLA242416-8-058352855.9062.32
2023-24FLA585836-17-415841449135.9152.37
2022-23PlayoffsFLA191812-6-063958554.9152.78
2022-23FLA504924-20-314661321145.9013.07
2021-22PlayoffsFLA10104-6-030327627.9112.70
2021-22FLA545339-7-315661429137.9132.67
2020-21PlayoffsFLA321-2-0635310.8415.33
2020-21FLA313019-8-293584788.9062.91
2019-20FLA504923-19-615051354151.9003.23
2018-19PlayoffsCBJ10106-4-033330825.9252.41
2018-19CBJ626137-24-117561603153.9132.58
2017-18PlayoffsCBJ662-4-022119922.9003.18
2017-18CBJ656537-22-619931835158.9212.42

Sergei Bobrovsky 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.