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

Sharks run the Rangers off the ice on the underlying numbers

The verdict · earned

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

NYR 1 · SJS 3
◆ By the ModelJul 12, 2:20 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

The Sharks beat the Rangers 3–1. The underlying numbers agreed — they dominated 61% of 5-on-5 expected goals (4.98–3.13) and outlasted the Rangers in high-danger chances 10–4. Yet both goalies massively overperformed, meaning the Sharks' dominance was even starker than the final score suggested.

San Jose controlled the shot distribution (52% of attempts, 32–29 on goal) and generated far more dangerous looks. The Sharks produced 0.082 xG per shot; the Rangers managed 0.047—quality over quantity.

Sam Carrick's wrist shot from the doorstep at 12:50 of the first period was the turning point. A. Nedeljkovic finished with 28 saves on 29 shots (0.966 SV%, +2.13 vs expected), the night's best performance. S. Martin stopped 29 of 32 (0.906 SV%, +1.98 vs expected) and was particularly sharp on high-danger chances, stopping 9 of 10. Both overperformed their models, but Nedeljkovic's edge was wider.

The Sharks' rush game was lethal: 3 goals on 31 rush chances. San Jose created 8 rebound chances but converted zero; the Rangers generated 5 and buried one. Despite controlling the game, the Sharks left goals on the table; the Rangers just left more.

The expected goals told the true story: Sharks 4.98, Rangers 3.13. The Sharks were better, and the scoreboard reflected it—even if both teams wasted chances along the way.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Jan 23
NYR
1
SJS
3

Sharks run the Rangers off the ice on the underlying numbers

Chances 3.1 – 5.0Did they deserve it? →
Did they deserve it?

The Sharks earned this one.

Expected goals · chance value
NYR
3.13
SJS
4.98
39% of the chances61%

The board read NYR 1, SJS 3. The chances read NYR 3.1, SJS 5.0.

Our xG model · NHL play-by-play · all situations
Luck check
SJS
−2.0
goals above expected
SJS4.98 expected · 3 scored
Expected
Scored
NYR3.13 expected · 1 scored
Expected
Scored

The Rangers left 2.1 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 01:09SJSM. CelebriniPP0–1
  2. P1 03:08SJSP. RegendaPP0–2
  3. P1 07:37SJSM. Celebrini0–3
  4. P1 12:50NYRS. Carrick1–3
NHL play-by-play · chance value from our xG model
Where the shots came from
NYR
47 shots
1
Final
97 shots
SJS
50 shots
3
NYR attackSJS attack
NYR SJS Goal
47
shots · 1 in
50
shots · 3 in
Every unblocked shot · press play to replay it
Chances by danger
NYRSJS
1 / 4
0.92 xG
High danger
1 / 10
2.71 xG
0 / 15
1.50 xG
Medium
2 / 17
1.74 xG
0 / 47
0.71 xG
Low
0 / 34
0.53 xG

High-danger looks: NYR 1 of 4, SJS 1 of 10.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A
A. Nedeljkovic
+2.1
SJS · 28/29
A
S. Martin
+2.0
NYR · 29/32
The numbers, checked
BACKCHECK

Sharks run the Rangers off the ice on the underlying numbers

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 11–17
  1. 01:09SJSM. Celebrinipower play(T. Toffoli, W. Smith)0–1
  2. 03:08SJSP. Regendapower play(M. Misa, C. Graf)0–2
  3. 07:37SJSM. Celebrini(W. Smith, C. Graf)0–3
  4. 12:50NYRS. Carrick(T. Raddysh, A. Blidh)1–3
2ndshots 11–7no goals
    3rdshots 7–8no goals

      score reads NYR–SJS

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

      The numbers

      XGBoost xG · NHL play-by-play
      4.98
      SJS chances
      Goals their shots were worth
      −2.0
      Finishing
      Goals below what those chances were worth
      1.034
      SJS puck luck
      Above 1.000 — the bounces went their way
      48.0%
      Shot attempts
      Under half — they were outshot
      Split by club

      Who controlled the game

      3.13Expected goals4.98
      SJS 61% of the chance quality
      29Shots on goal32
      4High-danger chances10
      66All attempts (Corsi)61
      Adjusted for score: NYR 59% · SJS 41%
      Faceoffs · SJS won55%off18%neu45%def
      Source · NHL play-by-play · XGBoost xG
      How the game was won

      The danger ladder

      shotsgoalsexpected
      High dangerslot & crease
      NYR1 / 4 · 0.92 xG
      SJS1 / 10 · 2.71 xG
      Medium dangermid-range
      NYR0 / 15 · 1.50 xG
      SJS2 / 17 · 1.74 xG
      Low dangerperimeter & point
      NYR0 / 47 · 0.71 xG
      SJS0 / 34 · 0.53 xG

      SJS went 1-for-10 from high danger on 2.71 expected goals — 1.7 left on the table.

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

      Finishing vs expected

      expectedactual
      NYR
      1 G · 3.13 xG · -2.1
      SJS
      3 G · 4.98 xG · -2.0
      0123456

      NYR finished -2.1 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
      NYR
      WRIST1/27
      BACKHAND0/7
      SLAP0/7
      TIP IN0/4
      SNAP0/2
      WRAP AROUND0/0
      OTHER0/19
      SJS
      WRIST1/29
      BACKHAND1/9
      SLAP1/6
      TIP IN0/5
      SNAP0/0
      WRAP AROUND0/1
      OTHER0/11
      NYR
      SJS
      Off the rush
      0 G on 29
      2.24 xG
      3 G on 31
      3.39 xG
      Off rebounds
      1 G on 5
      0.65 xG
      0 G on 8
      1.02 xG

      Wrist shots carried the volume: NYR went 1-for-27, SJS 1-for-29. 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
      S. Martin
      NYR · 29/32 · .906
      +2.0
      saved above expected
      A
      the night
      By dangerG/attxGsaved
      High danger1/102.7+1.7
      Medium2/171.7-0.3
      Low0/340.5+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

      A. Nedeljkovic
      SJS · 28/29 · .966
      +2.1
      saved above expected
      A
      the night
      By dangerG/attxGsaved
      High danger1/40.9-0.1
      Medium0/151.5+1.5
      Low0/470.7+0.7

      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

      97 shots · press play to watch the game back

      Where the shots came from

      NHL play-by-play coordinates
      NYR
      47 shots
      1
      Final
      97 shots
      SJS
      50 shots
      3
      NYR attackSJS attack
      NYR SJS Goal

      Each club shoots toward its own end — NYR 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
      2 G · 0 A · 4 SOG · 24:36 on ice
      W. Smith
      #2 · C · SJS
      0 G · 2 A · 2 SOG · 20:03 on ice · +1
      C. Graf
      #51 · R · SJS
      0 G · 2 A · 0 SOG · 19:13 on ice · +1
      Ranked from the box score — points first · Backcheck
      What the model said beforehand

      Before the game

      Written Fri, Jan 23
      Open the pre-game read
      Written from the numbers

      The read

      Edited for clarity
      ◆ By the ModelJul 12, 2:18 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 pick a winner here. San Jose sits at 51% win probability, with expected scoring landing between 2.4 and 2.5 goals for either side—essentially a coin flip in Vegas terms.

      Yet there's a telling divergence between recent form and underlying talent. The Sharks are 6-4-0 over their last 10 games, winning at a pace that matters in the standings. The Rangers, meanwhile, sit at minus-17 goal differential over the same stretch, which means they're getting outshot in ways that won't hold. Shot volume reveals the real gap: New York edges San Jose 49.0% to 47.0% in Corsi%, suggesting the Rangers are controlling play but converting at rates that don't match puck possession.

      Expected goals paint a different picture. Both teams land at 48.0% xG%, a perfect deadlock. The Rangers' PDO of 1.009 suggests unsustainable finish—they're scoring above their chances. San Jose's 0.998 is dead average. Over time, this gap tends to revert, which could favor New York once the variance stops working in San Jose's favor.

      The Rangers' weak spot sits on the back end: Vincent Iorio. The Sharks have their own problem. Igor Chernyshov, despite posting 0.91 expected goals per 60 minutes, carries risk as a weakness on defense—though he's produced 6 goals and 8 assists this season.

      San Jose's attacking engine runs through Pavol Regenda, who's generating a league-leading 1.10 xG/60 and has converted at an elite 16.1% clip with 5 goals, 1 assist, and 2 high-danger chances. That shooting efficiency is unsustainable, but the volume is real. For New York, Adam Sykora represents the form play: 0.91 xG/60 with 3 goals and 1 assist on a blistering 20.0% shooting rate. Gabe Perreault chips in with steady production—0.79 xG/60, 8 goals, 11 assists, 2 high-danger goals—but at a pedestrian 13.1% clip, meaning more breakeven pacing ahead.

      Both teams generate zero high-danger goals and zero rebound goals in their offensive profiles—a red flag suggesting neither has cracked reliable scoring depth beyond primary chances. This narrows the paths to victory.

      The model's hesitation is justified. The game hinges on whether New York's possession edge translates before San Jose's variance regression arrives.

      What the model said beforehand

      The model's lean

      SJS 51%
      51%
      SJS
      Model favorite
      49%
      51%
      NYR50SJS

      SJS by 2 points of win probability — effectively a coin flip. Projected score NYR 2.4–2.5 SJS; 19% 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
      NYR← edge
      edge →SJS
      48.0%48.0%
      49.0%47.0%
      2.262.33
      2.402.56
      1.881.99
      1.902.32
      1.0090.998

      The season numbers split 3–3 — no clear process edge — and the luck row (1.009 vs 0.998) says NYR has been getting the bounces, which tends not to last.

      Source · NHL stats API + our xG · 5v5
      Form · Last 10
      NYR
      2-7-1
      -17 GD · 2d rest
      SJS
      6-4-0
      -4 GD · 2d rest
      1.009
      NYR 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
      • The Sharks are the hotter team by points pace (6-4-0 in their last 10).
      • The Rangers are underwater at -17 goal differential over their last 10.
      Last game's lineup · confirmed at warm-up

      Lineups

      NHL box score
      NYR
      Expected in goal
      J. Quick
      2 days rest.852 last start
      Backup Igor Shesterkin · +21.3 GSAx this season

      No completed game on file for this club yet.

      SJS
      Expected in goal
      Y. Askarov
      2 days rest.842 last start
      Backup Yaroslav Askarov · -18.9 GSAx this season

      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
      NYR
      Adam Sykora3G 1A
      0.91 xG/60 · 0 HD · 20.0% sh
      Gabe Perreault8G 11A
      0.79 xG/60 · 2 HD · 13.1% 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