Backcheck
Recap · SJS at LAK

Sharks edge the Kings in overtime

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

By the ModelJul 11, 11:43 PMxG: xgboost-0.758Edited for clarity
Away
SJS
San Jose Sharks
4
Home
LAK
Los Angeles Kings
3
FINAL / OT
Process vs result

The underlying story

4.78Expected goals3.90
55% share for the better side
28Shot attempts (SOG)26
9High-danger chances7
60Corsi (all attempts)56
Score-adjusted: 51% / 49%
Source · NHL play-by-play · XGBoost xG

San Jose's 4-3 overtime win was built on genuine superiority—the Sharks controlled 55% of 5v5 expected goals (4.78 to 3.90), a margin that forecasted the result. Los Angeles stayed competitive on volume, holding 48% of shot attempts (26 on goal to 28), but high-danger chances revealed the gap: nine for San Jose, seven for Los Angeles.

The Sharks' power play was the difference. Three goals on 19 shots (2.18 expected goals) is dominance by any measure. San Jose also thrived in transition, scoring twice on 30 rush chances—a conversion rate that makes defensive gaps fatal. Y. Askarov made 23 saves on 26 shots (0.885 save percentage, 0.90 better than expected), while D. Kuemper stopped 24 of 28 (0.857, 0.78 better than expected). Both performed above expected levels, a sign the game hinged on special teams and transition play, not starter depth.

The Kings generated five rebound opportunities without converting; the Sharks six with the same empty result. Positioning met execution, and neither prevailed.

William Eklund's wrist shot from the slot ended it at 3:08 of overtime.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SJS2 / 9 · 2.01 xG
LAK1 / 7 · 1.66 xG
Medium dangermid-range
SJS2 / 19 · 2.21 xG
LAK1 / 12 · 1.69 xG
Low dangerperimeter & point
SJS0 / 32 · 0.56 xG
LAK1 / 37 · 0.55 xG

LAK went 1-for-12 from medium danger on 1.69 expected goals — 0.7 left on the table.

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

Finishing vs expected

expectedactual
SJS
4 G · 4.78 xG · -0.8
LAK
3 G · 3.90 xG · -0.9
0123456
Goalies · GSAx (goals saved above expected)
Y. AskarovSJS
+0.9
D. KuemperLAK
+0.8

SJS finished -0.8 against expected, LAK -0.9 — Y. Askarov (SJS) saved 0.9 goals above expected.

Source · Backcheck xG model
What they shot — and what went in

Shot diet

goalsshots
SJS
WRIST3/23
TIP IN1/9
SNAP0/8
SLAP0/3
BACKHAND0/3
DEFLECTED0/0
OTHER0/14
LAK
WRIST2/23
TIP IN1/4
SNAP0/1
SLAP0/5
BACKHAND0/2
DEFLECTED0/2
OTHER0/19
SJS
LAK
Off the rush
2 G on 30 · 3.14 xG
1 G on 17 · 2.19 xG
Off rebounds
0 G on 6 · 0.78 xG
0 G on 5 · 0.87 xG

Wrist shots carried the volume: SJS went 3-for-23, LAK 2-for-23. SJS scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Celebrini
#71 · C · SJS
1 G · 2 A · 7 SOG · 25:12 TOI · +2
K. Fiala
#22 · L · LAK
1 G · 1 A · 4 SOG · 22:26 TOI · +2
J. Edmundson
#6 · D · LAK
0 G · 2 A · 2 SOG · 20:13 TOI · +3
Ranked from the box score — points first · Backcheck
What the model flagged
  • Open game — 16 high-danger chances combined (LAK 7, SJS 9).
  • SJS was lethal off the rush — 2 goals on 30 rush chances.
  • LAK created 5 rebound opportunities (0 converted) — crashing the net effectively.
  • SJS created 6 rebound opportunities (0 converted) — crashing the net effectively.
  • SJS power play was dominant — 3 PPG on 19 PP shots (2.18 xG).
Before the game — the model's pre-game read
Preview · SJS at LAK · 10:30 PM ET

The Kings are the model's lean over the Sharks on the rest edge

By the ModelJul 11, 11:42 PMEdited for clarity
Win probability

The model's lean

56%
LAK
Model favorite
44%
56%
SJS50LAK

LAK by 12 points of win probability — a modest lean. Projected score SJS 2.32.6 LAK; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season profile · edge from the spine

Tale of the tape

SJS← edge
edge →LAK
48.0%5v5 xG%52.0%
47.0%Corsi%52.0%
2.33xGF / 602.42
2.56xGA / 602.20
1.99Goals for / gm1.85
2.32Goals against / gm1.71
0.998PDO — luck, not skill1.002

LAK holds 5 of 6 process categories — and PDO (0.998 vs 1.002) says LAK has run hotter.

Source · MoneyPuck season tables · 5v5

The pregame model favors Los Angeles with a 56% win probability, projecting a 2.3–2.6 game. The advantage splits two ways: territorial control and the schedule.

Los Angeles dominates the underlying metrics. At 5v5, the Kings own 52.0% expected goals to San Jose's 48.0%, and they drive 52.0% Corsi against the Sharks' 47.0%. Territorial advantage compounds in hockey—more time in the offensive zone creates more chances and shortens opposition depth.

The rest edge could prove decisive. Los Angeles plays on 1 day of rest; San Jose has 4. The Sharks' longer break theoretically favors recovery and preparation, but the Kings' fresher legs could press high early and force mistakes before San Jose's scheme takes hold.

Watch D. Kuemper on the back half of a back-to-back. Los Angeles might lean on a backup or run Kuemper tired—either option creates exposure at this margin.

San Jose relies on Pavol Regenda for offense—1.10 expected goals per 60, 5 goals and 1 assist, 2 high-danger goals, 16.1% shooting—but he is marked likely inactive. Igor Chernyshov becomes the primary engine: 0.91 xG/60, 6 goals and 8 assists, 1 high-danger goal, 15.0% shooting.

Los Angeles counters with Alex Laferriere: 0.87 xG/60, 16 goals and 18 assists, 2 high-danger goals at 9.9% efficiency. Jared Wright (0.83 xG/60, 0 goals and 4 assists) provides secondary scoring.

Both teams register 0% for high-danger and rebound goals—whichever team converts from these situations first gains an edge. The Sharks' defensive liability is Chernyshov; Adrian Kempe carries the same burden for Los Angeles.

Computed danger · scouting

Players to watch

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
LAK
Alex Laferriere16G 18A
0.87 xG/60 · 2 HD · 9.9% sh
Jared Wright0G 4A
0.83 xG/60 · 0 HD · 0.0% sh
Source · MoneyPuck skaters