Motion-blurred skater in a San Jose Sharks sweater
Breakdown · VAN at SJS

Sharks steal one from the Canucks against the run of play

The verdict · stolen

The Sharks stole one. They lost the expected-goals battle 4.41–2.95 and won anyway.

VAN 2 · SJS 3
◆ By the ModelJul 11, 6:07 PMxG: xgboost-0.758Edited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

San Jose won 3-2 despite allowing 4.41 expected goals to Vancouver's 2.95. The Sharks held 40% of expected goals—a resource deficit that typically ends in defeat. Instead, goaltending and precision won the day.

Y. Askarov was the difference. He saved 2.41 goals above expected with a 0.941 save percentage, shutting down nine high-danger chances at 100% efficiency. N. Tolopilo, meanwhile, posted a 0.875 save percentage for Vancouver, and the Canucks' inability to finish those prime opportunities cost them. They went 0 for 9 on high-danger looks—that level of futility at the doorstep doesn't repeat.

The Sharks imposed their game in transition. They scored 3 goals from 25 rush chances, demonstrating the kind of offensive efficiency that masks a deeper possession deficit. The shot-attempt count (24–34 in favor of Vancouver) and the xG split (40–60 Sharks) told the real story: San Jose was outplayed. But hockey isn't played on paper.

Adam Gaudette's backhander from the doorstep in the second period (15:17) proved the turning point, though context matters. Vancouver created the better chances—nine high-danger opportunities to San Jose's six. The Canucks' problem wasn't volume; it was execution. They scored twice from low-danger areas, the kind of conversions an opposing goalie typically prevents. Askarov didn't.

The Sharks' rush-heavy approach worked because Askarov cleaned up when it didn't. San Jose created four rebound opportunities without converting; Vancouver managed three of the same. Both teams crashed effectively but found no secondary scoring. The difference was singular: one goalie stood firm while the other didn't.

The breakdown in twelve frames

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Every number is from this page
Final · Nov 28
VAN
2
SJS
3

Sharks steal one from the Canucks against the run of play

Chances 4.4 – 3.0Did they deserve it? →
Did they deserve it?

The Canucks deserved better.

Expected goals · chance value
VAN
4.41
SJS
2.95
60% of the chances40%

The board read VAN 2, SJS 3. The chances read VAN 4.4, SJS 3.0.

Our xG model · NHL play-by-play · all situations
Luck check
SJS
+0.1
goals above expected
SJS2.95 expected · 3 scored
Expected
Scored
VAN4.41 expected · 2 scored
Expected
Scored

The Canucks left 2.4 goals on the table against what their chances were worth.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P1 04:28VANB. Boeser1–0
  2. P1 09:25SJSW. SmithPP1–1
  3. P2 03:04VANE. Pettersson2–1
  4. P2 14:03SJSW. EklundPP2–2
  5. P2 15:17SJSA. Gaudette2–3
NHL play-by-play · chance value from our xG model
Where the shots came from
VAN
47 shots
2
Final
81 shots
SJS
34 shots
3
VAN attackSJS attack
VAN SJS Goal
47
shots · 2 in
34
shots · 3 in
Every unblocked shot · press play to replay it
Chances by danger
VANSJS
0 / 9
2.00 xG
High danger
1 / 6
1.32 xG
0 / 12
1.53 xG
Medium
2 / 12
1.16 xG
2 / 44
0.88 xG
Low
0 / 25
0.48 xG

The Canucks went 0 for 9 from the slot.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A
Y. Askarov
+2.4
SJS · 32/34
C
N. Tolopilo
−0.1
VAN · 21/24
The numbers, checked
BACKCHECK

Sharks steal one from the Canucks against the run of play

A model, not a newsroom. Every number on these frames comes from the NHL's play-by-play and our own models. Nothing was watched, guessed or heard from anyone.

Read the full breakdown
backcheckreport.com
01 / 08 · Final
Every goal, in order

How it happened

NHL play-by-play
1stshots 8–12
  1. 04:28VANB. Boeser(C. Garland, T. Willander)1–0
  2. 09:25SJSW. Smithpower play(A. Wennberg, M. Celebrini)1–1
2ndshots 17–7
  1. 03:04VANE. Pettersson(E. Kane, F. Hronek)2–1
  2. 14:03SJSW. Eklundpower play(M. Celebrini, J. Klingberg)2–2
  3. 15:17SJSA. Gaudette(P. Kurashev, T. Toffoli)2–3
3rdshots 9–5no goals

    score reads VAN–SJS

    Source · NHL play-by-play (api-web.nhle.com)
    Process vs result

    The numbers

    XGBoost xG · NHL play-by-play
    2.95
    SJS chances
    Goals their shots were worth
    +0.1
    Finishing
    Goals above what those chances were worth
    1.039
    SJS puck luck
    Above 1.000 — the bounces went their way
    39.8%
    Shot attempts
    Under half — they were outshot
    Split by club

    Who controlled the game

    4.41Expected goals2.95
    VAN 60% of the chance quality
    34Shots on goal24
    9High-danger chances6
    65All attempts (Corsi)43
    Adjusted for score: VAN 60% · SJS 40%
    Faceoffs · SJS won48%off64%neu74%def
    Source · NHL play-by-play · XGBoost xG
    How the game was won

    The danger ladder

    shotsgoalsexpected
    High dangerslot & crease
    VAN0 / 9 · 2.00 xG
    SJS1 / 6 · 1.32 xG
    Medium dangermid-range
    VAN0 / 12 · 1.53 xG
    SJS2 / 12 · 1.16 xG
    Low dangerperimeter & point
    VAN2 / 44 · 0.88 xG
    SJS0 / 25 · 0.48 xG

    VAN went 0-for-9 from high danger on 2.00 expected goals — 2.0 left on the table.

    Source · Backcheck xG model · NHL play-by-play
    The luck layer

    Finishing vs expected

    expectedactual
    VAN
    2 G · 4.41 xG · -2.4
    SJS
    3 G · 2.95 xG · +0.1
    012345

    VAN finished -2.4 against expected, SJS +0.1.

    Source · Backcheck xG model
    Shot types · rush and rebound chancesopen +
    What they shot — and what went in

    Shot diet

    goalsshots
    VAN
    WRIST2/32
    SLAP0/7
    TIP IN0/5
    BACKHAND0/2
    DEFLECTED0/1
    SNAP0/0
    OTHER0/18
    SJS
    WRIST1/22
    SLAP1/8
    TIP IN0/1
    BACKHAND1/2
    DEFLECTED0/0
    SNAP0/1
    OTHER0/9
    VAN
    SJS
    Off the rush
    1 G on 36
    3.52 xG
    3 G on 25
    2.52 xG
    Off rebounds
    0 G on 3
    0.46 xG
    0 G on 4
    0.22 xG

    Wrist shots carried the volume: VAN went 2-for-32, SJS 1-for-22. SJS scored 3 of theirs off the rush.

    Source · Backcheck xG model · NHL shot types
    New to these numbers?

    Two things happened in this game: who created the better chances, and who put the puck in the net. They are not the same thing, and this page separates them on purpose.

    The one to watch is expected goals— the best single read on who deserved to win. When it disagrees with the scoreboard, that disagreement is usually the story. Nothing here is a projection; every figure is computed from this game's play-by-play. Full glossary →

    xG
    Expected goals. Every shot scored by how often that exact look goes in. 2.5 xG means the chances were worth about two and a half goals.
    HD
    High-danger chances — shots from the slot and the crease, where shots actually become goals.
    Corsi
    Every shot attempt, including the ones that missed or got blocked. A rough read on who had the puck.
    Adj.
    Score-adjusted. Teams that trail shoot more and teams that lead sit back, so this corrects the attempt count for the scoreboard.
    GSAx
    Goals saved above expected. A positive number means the goalie stopped more than an average goalie would have on those shots.
    PDO
    Shooting % plus save % — a luck gauge. It sits near 1.000 over a season, so a game far from it usually means the bounces decided it.
    Shot by shot

    In the net

    Graded on goals saved above expected
    N. Tolopilo
    VAN · 21/24 · .875
    -0.1
    saved above expected
    C
    the night
    By dangerG/attxGsaved
    High danger1/61.3+0.3
    Medium2/121.2-0.8
    Low0/250.5+0.5

    A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

    Y. Askarov
    SJS · 32/34 · .941
    +2.4
    saved above expected
    A
    the night
    By dangerG/attxGsaved
    High danger0/92.0+2.0
    Medium0/121.5+1.5
    Low2/440.9-1.1

    A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

    81 shots · press play to watch the game back

    Where the shots came from

    NHL play-by-play coordinates
    VAN
    47 shots
    2
    Final
    81 shots
    SJS
    34 shots
    3
    VAN attackSJS attack
    VAN SJS Goal

    Each club shoots toward its own end — VAN left, SJS right — the way you would watch it. A dot's size is how dangerous the look was, from distance and angle; it is a proxy for shot quality, not the xG model the article is written from. Hover a dot for the shooter and the clock.

    Ranked from the box score

    Three stars

    Points first
    Three stars · computed, not voted
    M. Celebrini
    #71 · C · SJS
    0 G · 2 A · 1 SOG · 18:30 on ice · -1
    C. Garland
    #8 · R · VAN
    0 G · 1 A · 3 SOG · 24:28 on ice · +1
    F. Hronek
    #17 · D · VAN
    0 G · 1 A · 1 SOG · 24:13 on ice
    Ranked from the box score — points first · Backcheck
    What the model said beforehand

    Before the game

    Written Fri, Nov 28
    Open the pre-game read
    Written from the numbers

    The read

    Edited for clarity
    ◆ By the ModelJul 11, 6:05 PMEdited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

    The model projects a 2.4–2.7 goal game favoring the Sharks at 55% win probability. The edge lives in underlying play, where Vancouver's -9 goal differential over its last ten games masks a structural problem: the Canucks are getting outshot at even strength.

    San Jose owns a 48.0% expected goal share against Vancouver's 44.0%, with a Corsi split of 47.0% to 46.0%. This isn't marginal. The Canucks aren't playing poorly—they're running cold, and their PDO of 0.974 signals puck luck has worked against them. That's due to regress positive. San Jose's own PDO of 0.998 sits comfortably near league average, meaning the Sharks' results already reflect their underlying play. The structural edge sticks.

    Watch the goaltending situation. A. Nedeljkovic is on a back-to-back; N. Tolopilo faces the same fatigue. Either starter could yield to a backup, or both could take the ice worn. That variable alone could tilt a tight game.

    On the ice, Filip Chytil drives Vancouver's offense at 1.03 expected goals per 60 minutes with a 15.0% shooting percentage. He's converted three goals on limited volume—his one high-danger goal suggests clinical finishing. Drew O'Connor has found the back of the net 13 times with 11 assists and an 11.8% shooting rate; he's a secondary threat worth monitoring.

    San Jose counters with Pavol Regenda (1.10 xG/60, 16.1% shooting, 5 goals), though he's marked likely unavailable. In his absence, Igor Chernyshov becomes the centerpiece at 0.91 xG/60 with 6 goals and 8 assists. Neither team excels at high-danger finishing—both sit at 0% on hard-chance goals and rebound opportunities, a sign of small-sample variance rather than structural weakness.

    The Sharks' defensive vulnerability is Chernyshov himself, tasked with heavier minutes than a depth forward should carry. Vancouver's weakness is Victor Mancini, who'll face high-leverage situations where the Canucks need transition speed.

    This is a model game: the structurally stronger team is favored, the underdog has PDO regression as a wildcard, and circumstance (back-to-back netminders) adds volatility. Lean Sharks.

    What the model said beforehand

    The model's lean

    SJS 55%
    55%
    SJS
    Model favorite
    45%
    55%
    VAN50SJS

    SJS by 10 points of win probability — a modest lean. Projected score VAN 2.4–2.7 SJS; 18% chance it's tied after 60.

    Source · Backcheck Poisson projection · season scoring rates
    Season rates · 5v5

    Tale of the tape

    NHL stats API · our xG
    VAN← edge
    edge →SJS
    44.0%48.0%
    46.0%47.0%
    2.222.33
    2.812.56
    1.601.99
    2.562.32
    0.9740.998

    SJS holds 6 of 6 process categories — and the luck row (0.974 vs 0.998) says SJS has been getting the bounces, which tends not to last.

    Source · NHL stats API + our xG · 5v5
    Form · Last 10
    VAN
    3-5-2
    -9 GD · 1d rest
    SJS
    6-4-0
    -4 GD · 1d rest
    0.974
    VAN PDO
    Luck gauge · drifts to 1.000
    0.998
    SJS PDO
    Luck gauge · drifts to 1.000
    What decides it

    Keys to the game

    Where the edges live
    • The Sharks own the underlying play — 48.0% 5v5 xG vs 44.0%.
    Regression watch
    • The Canucks' PDO is 0.974 — running cold, due for positive regression.
    Things to watch
    • The Sharks own the underlying play — 48.0% 5v5 xG vs 44.0%.
    • A. Nedeljkovic is on a back-to-back — watch for a backup start or a tired starter.
    • N. Tolopilo is on a back-to-back — watch for a backup start or a tired starter.
    • The Canucks are underwater at -9 goal differential over their last 10.
    • The Canucks' PDO is 0.974 — running cold, due for positive regression.
    Last game's lineup · confirmed at warm-up

    Lineups

    NHL box score
    VAN
    Expected in goal
    N. Tolopilo
    back-to-back.902 last start
    Backup Kevin Lankinen · -19.3 GSAx this season
    Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

    No completed game on file for this club yet.

    SJS
    Expected in goal
    A. Nedeljkovic
    back-to-back.913 last start
    Backup Yaroslav Askarov · -18.9 GSAx this season
    Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

    No completed game on file for this club yet.

    Lineups are the players who dressed in each club's last game, with their minutes; clubs confirm tonight's at warm-up. Every player this preview names was in that lineup.

    Computed danger · scouting

    Players to watch

    NHL stats API · our xG
    VAN
    Filip Chytil3G 0A
    1.03 xG/60 · 1 HD · 15.0% sh
    Drew O'Connor13G 11A
    0.85 xG/60 · 3 HD · 11.8% sh
    SJS
    Pavol Regenda5G 1A
    1.10 xG/60 · 2 HD · 16.1% sh
    Igor Chernyshov6G 8A
    0.91 xG/60 · 1 HD · 15.0% sh
    Keep going

    Where to next