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

Sharks edge the Jets in overtime

The verdict · earned

The Sharks earned it — the game and the expected-goals battle both.

WPG 1 · SJS 2
◆ By the ModelJul 12, 5:26 AMxG: 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 controlled this game—58% of expected goals (3.98–2.86)—but only by a goal, because C. Hellebuyck was extraordinary. Winnipeg's goaltender saved 1.98 goals above expected, keeping the Sharks from fully capitalizing on their edge. Michael Misa's overtime goal at 1:40 decided it.

The underlying play backed the result. The Sharks won shot attempts (54%, 33–28) and high-danger chances (10–6). The Jets managed just 0 for 6 on prime scoring opportunities—a wasteful performance that won't repeat often. A. Nedeljkovic (SJS) was nearly as good as Hellebuyck, saving 1.86 goals above expected to hold the line when the Sharks were squandering their advantages.

Both teams underperformed their xG by roughly two goals each, a sign of exceptional goaltending on both sides.

Three Stars

  • #71 M. Celebrini (SJS) — 1A in 19:58
  • #2 W. Smith (SJS) — 1G in 18:36
  • #6 S. Dickinson (SJS) — 1A in 18:36
The breakdown in twelve frames

Swipe it

Every number is from this page
Final · OT · Mar 1
WPG
1
SJS
2

Sharks edge the Jets in overtime

Chances 2.9 – 4.0Did they deserve it? →
Did they deserve it?

The Sharks earned this one.

Expected goals · chance value
WPG
2.86
SJS
3.98
42% of the chances58%

The board read WPG 1, SJS 2. The chances read WPG 2.9, SJS 4.0.

Our xG model · NHL play-by-play · all situations
Luck check
SJS
−2.0
goals above expected
SJS3.98 expected · 2 scored
Expected
Scored
WPG2.86 expected · 1 scored
Expected
Scored

The Jets left 1.9 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 02:44WPGM. Barron1–0
  2. P3 01:47SJSW. Smith1–1
  3. OT 01:40SJSM. Misa1–2
NHL play-by-play · chance value from our xG model
Where the shots came from
WPG
33 shots
1
Final
82 shots
SJS
49 shots
2
WPG attackSJS attack
WPG SJS Goal
33
shots · 1 in
49
shots · 2 in
Every unblocked shot · press play to replay it
Chances by danger
WPGSJS
0 / 6
1.59 xG
High danger
2 / 10
2.19 xG
1 / 9
0.87 xG
Medium
0 / 11
1.03 xG
0 / 29
0.41 xG
Low
0 / 45
0.76 xG

The Jets went 0 for 6 from the slot.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A
C. Hellebuyck
+2.0
WPG · 31/33
A
A. Nedeljkovic
+1.9
SJS · 27/28
The numbers, checked
BACKCHECK

Sharks edge the Jets in overtime

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 8–14
  1. 02:44WPGM. Barron(T. Pearson, C. Koepke)1–0
2ndshots 9–4no goals
    3rdshots 10–14
    1. 01:47SJSW. Smith(C. Graf, M. Celebrini)1–1
    OTshots 1–1
    1. 01:40SJSM. Misa(W. Eklund, S. Dickinson)1–2

    score reads WPG–SJS

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

    The numbers

    XGBoost xG · NHL play-by-play
    3.98
    SJS chances
    Goals their shots were worth
    −2.0
    Finishing
    Goals below what those chances were worth
    1.008
    SJS puck luck
    About 1.000 — a normal night for bounces
    60.0%
    Shot attempts
    Over half — they had the puck more
    Split by club

    Who controlled the game

    2.86Expected goals3.98
    SJS 58% of the chance quality
    28Shots on goal33
    6High-danger chances10
    44All attempts (Corsi)66
    Adjusted for score: WPG 38% · SJS 62%
    Faceoffs · SJS won47%off55%neu47%def
    Source · NHL play-by-play · XGBoost xG
    How the game was won

    The danger ladder

    shotsgoalsexpected
    High dangerslot & crease
    WPG0 / 6 · 1.59 xG
    SJS2 / 10 · 2.19 xG
    Medium dangermid-range
    WPG1 / 9 · 0.87 xG
    SJS0 / 11 · 1.03 xG
    Low dangerperimeter & point
    WPG0 / 29 · 0.41 xG
    SJS0 / 45 · 0.76 xG

    WPG went 0-for-6 from high danger on 1.59 expected goals — 1.6 left on the table.

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

    Finishing vs expected

    expectedactual
    WPG
    1 G · 2.86 xG · -1.9
    SJS
    2 G · 3.98 xG · -2.0
    012345

    WPG finished -1.9 against expected, SJS -2.0.

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

    Shot diet

    goalsshots
    WPG
    WRIST1/27
    SLAP0/2
    TIP IN0/0
    SNAP0/4
    BACKHAND0/0
    BAT0/0
    OTHER0/11
    SJS
    WRIST1/29
    SLAP0/10
    TIP IN0/6
    SNAP0/0
    BACKHAND0/3
    BAT1/1
    OTHER0/17
    WPG
    SJS
    Off the rush
    1 G on 21
    2.28 xG
    1 G on 30
    2.65 xG
    Off rebounds
    0 G on 2
    0.39 xG
    1 G on 7
    0.95 xG

    Wrist shots carried the volume: WPG went 1-for-27, SJS 1-for-29.

    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
    C. Hellebuyck
    WPG · 31/33 · .939
    +2.0
    saved above expected
    A
    the night
    By dangerG/attxGsaved
    High danger2/102.2+0.2
    Medium0/111.0+1.0
    Low0/450.8+0.8

    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

    A. Nedeljkovic
    SJS · 27/28 · .964
    +1.9
    saved above expected
    A
    the night
    By dangerG/attxGsaved
    High danger0/61.6+1.6
    Medium1/90.9-0.1
    Low0/290.4+0.4

    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

    82 shots · press play to watch the game back

    Where the shots came from

    NHL play-by-play coordinates
    WPG
    33 shots
    1
    Final
    82 shots
    SJS
    49 shots
    2
    WPG attackSJS attack
    WPG SJS Goal

    Each club shoots toward its own end — WPG 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 · 1 A · 0 SOG · 19:58 on ice
    W. Smith
    #2 · C · SJS
    1 G · 0 A · 4 SOG · 18:36 on ice · +1
    S. Dickinson
    #6 · D · SJS
    0 G · 1 A · 4 SOG · 18:36 on ice · +1
    Ranked from the box score — points first · Backcheck
    What the model said beforehand

    Before the game

    Written Sun, Mar 1
    Open the pre-game read
    Written from the numbers

    The read

    Edited for clarity
    ◆ By the ModelJul 12, 5:03 AMEdited 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 models can't decide. Projected 2.5–2.6 SJS result with the Sharks at 52% win probability means San Jose has the slimmest edge in a game that looks like a pick'em on tape.

    Both teams generate identical shot quality this season: 48.0% xG% for each. Winnipeg edges the possession battle at 49.0% Corsi%, but San Jose's 47.0% stays within noise. Even their shooting percentages converge—both at 0.998 PDO—so if anyone leaves this one feeling robbed, variance owns the blame.

    The Jets arrive underwater. They're -9 in goal differential over their last 10, which is the kind of stretch that suggests either bad luck or bad underlying play. The goaltending situation compounds the mess: Y. Askarov faces a back-to-back, and so does C. Hellebuyck. Expect a backup in net, or starters playing through fatigue.

    Kyle Connor carries Winnipeg's scoring punch. He's got 25G 30A on a 0.83 xG/60 with 13.0% shooting—the gap between his expected and actual production marks him as either due for regression or simply elite at finishing. Nino Niederreiter sits close behind at 0.87 xG/60, 6G 6A, with 3 hard-chance goals. Both deserve close marking from San Jose's defense.

    San Jose leans harder on individual production. Pavol Regenda's 1.10 xG/60 leads the game in shot quality, but he's marked inactive, removing the most dangerous weapon from this matchup. Igor Chernyshov fills the gap at 0.91 xG/60, 6G 8A, though 15.0% shooting rates as unsustainable.

    Neither team has found the net on rebounds or hard chances at any meaningful rate—both teams sit at 0%—which means this game lives or dies on primary chances. That favors whichever defense tightens up first. Winnipeg's weak link is Colin Miller; San Jose's, paradoxically, is Chernyshov, who paces their attack but leaves space behind.

    Sharks at 52% feels right.

    What the model said beforehand

    The model's lean

    SJS 52%
    52%
    SJS
    Model favorite
    48%
    52%
    WPG50SJS

    SJS by 4 points of win probability — effectively a coin flip. Projected score WPG 2.5–2.6 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
    WPG← edge
    edge →SJS
    48.0%48.0%
    49.0%47.0%
    2.342.33
    2.552.56
    1.901.99
    2.102.32
    0.9980.998

    WPG holds 4 of 6 process categories — and the luck row (0.998 vs 0.998) says WPG has been getting the bounces, which tends not to last.

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

    Keys to the game

    Things to watch
    • Y. Askarov is on a back-to-back — watch for a backup start or a tired starter.
    • C. Hellebuyck is on a back-to-back — watch for a backup start or a tired starter.
    • The Jets are underwater at -9 goal differential over their last 10.
    Last game's lineup · confirmed at warm-up

    Lineups

    NHL box score
    WPG
    Expected in goal
    C. Hellebuyck
    back-to-back.875 last start
    Backup Connor Hellebuyck · +5.5 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
    Y. Askarov
    back-to-back.833 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
    WPG
    Nino Niederreiter6G 6A
    0.87 xG/60 · 3 HD · 8.6% sh
    Kyle Connor25G 30A
    0.83 xG/60 · 2 HD · 13.0% 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