Backcheck
Recap · SJS at NYI

Islanders hold off the Sharks

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

By the ModelJul 11, 12:32 PMxG: xgboost-0.758Edited for clarity
Away
SJS
San Jose Sharks
3
Home
NYI
New York Islanders
4
FINAL
Process vs result

The underlying story

4.01Expected goals4.97
55% share for the better side
36Shot attempts (SOG)27
5High-danger chances10
68Corsi (all attempts)52
Score-adjusted: 61% / 39%
Source · NHL play-by-play · XGBoost xG

New York's 4–3 victory conceals a deeper truth: the Islanders created significantly more dangerous looks than the Sharks, yet nearly squandered the advantage through underperformance.

The underlying metrics tell a clearer story than the scoreline. New York generated 10 high-danger chances to San Jose's 5—a 2-to-1 dominance in the categories that matter most—while producing 0.096 expected goals per shot attempt, compared to San Jose's 0.059. That quality differential translated to a 4.97–4.01 expected-goals edge (55 percent to 45 percent).

Both teams underperformed their xG. New York fell short by 0.97 goals; San Jose by 1.01. Yet both goaltenders ran hot: I. Sorokin saved 1.01 goals above expectation on 33 shots (0.917 SV%), while Y. Askarov returned a near-identical +0.97 mark on 23 saves (0.852 SV%).

New York's advantage stemmed from execution: 2 rush goals on 19 attempts, and a power play that converted 2 on 13 shots (1.84 xG). San Jose answered with 3 rush goals on 33 attempts, but never closed the high-danger gap.

The inflection came at 10:16 of the third period, when Macklin Celebrini's wrist shot from the high slot cut the lead to one.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SJS1 / 5 · 1.00 xG
NYI2 / 10 · 3.27 xG
Medium dangermid-range
SJS2 / 22 · 2.45 xG
NYI2 / 10 · 1.17 xG
Low dangerperimeter & point
SJS0 / 41 · 0.56 xG
NYI0 / 32 · 0.53 xG

NYI went 2-for-10 from high danger on 3.27 expected goals — 1.3 left on the table.

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

Finishing vs expected

expectedactual
SJS
3 G · 4.01 xG · -1.0
NYI
4 G · 4.97 xG · -1.0
0123456
Goalies · GSAx (goals saved above expected)
Y. AskarovSJS
+1.0
I. SorokinNYI
+1.0

SJS finished -1.0 against expected, NYI -1.0 — I. Sorokin (NYI) saved 1.0 goals above expected.

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

Shot diet

goalsshots
SJS
SNAP2/13
WRIST1/18
TIP IN0/9
SLAP0/4
BACKHAND0/2
WRAP AROUND0/1
POKE0/1
BAT0/1
OTHER0/19
NYI
SNAP0/27
WRIST4/7
TIP IN0/5
SLAP0/4
BACKHAND0/1
WRAP AROUND0/1
POKE0/0
BAT0/0
OTHER0/7
SJS
NYI
Off the rush
3 G on 33 · 2.91 xG
2 G on 19 · 1.87 xG
Off rebounds
0 G on 2 · 0.42 xG
2 G on 9 · 1.47 xG

Snap shots carried the volume: SJS went 2-for-13, NYI 0-for-27. SJS scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Schaefer
#48 · D · NYI
1 G · 1 A · 4 SOG · 22:34 TOI · +1
C. Graf
#51 · R · SJS
1 G · 1 A · 2 SOG · 15:02 TOI · +1
D. Orlov
#9 · D · SJS
0 G · 1 A · 1 SOG · 24:37 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • SJS generated higher-quality looks than the shot total suggests.
  • I. Sorokin (NYI) stopped 1.0 goals above expected.
  • Open game — 15 high-danger chances combined (NYI 10, SJS 5).
  • NYI generated far more dangerous chances — 0.096 xG/shot vs 0.059. Quality over quantity.
  • NYI was lethal off the rush — 2 goals on 19 rush chances.
  • SJS was lethal off the rush — 3 goals on 33 rush chances.
  • NYI created 9 rebound opportunities (2 converted) — crashing the net effectively.
  • NYI power play was dominant — 2 PPG on 13 PP shots (1.84 xG).
Before the game — the model's pre-game read
Preview · SJS at NYI · 7:00 PM ET

Sharks at Islanders: a genuine coin flip

By the ModelJul 11, 12:31 PMEdited for clarity
Win probability

The model's lean

52%
NYI
Model favorite
48%
52%
SJS50NYI

NYI by 4 points of win probability — effectively a coin flip. Projected score SJS 2.52.6 NYI; 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 →NYI
48.0%5v5 xG%48.0%
47.0%Corsi%49.0%
2.33xGF / 602.48
2.56xGA / 602.69
1.99Goals for / gm1.78
2.32Goals against / gm1.94
0.998PDO — luck, not skill0.993

NYI holds 4 of 6 process categories — and PDO (0.998 vs 0.993) says SJS has run hotter.

Source · MoneyPuck season tables · 5v5

The model sees this as a coin flip. San Jose projects to score 2.5 to 2.6 goals; the Islanders are given 52% win probability—as close to a pick'em as you'll find.

New York has fresher legs. They've posted a 4-5-1 record over their last 10, a points-pace edge that looks meaningful. But the Islanders are underwater at -8 goal differential over that span, a sign their wins have been tighter or losses uglier. San Jose is worse at -16, suggesting deeper scoring troubles.

At even strength, both teams look equivalent. Each carries a 48.0% expected goals share; the Islanders edge the Sharks in shot attempts at 49.0% Corsi to 47.0%, a thin advantage. The Sharks' 0.998 PDO sits fractionally ahead of New York's 0.993, a gap that could evaporate with variance. On paper, these are matched teams.

The difference will come down to execution, particularly up front. Pavol Regenda was tracking as a major threat with a 1.10 expected goals per 60 rate and 16.1% shooting, but he's marked as likely inactive. Without him, Igor Chernyshov becomes San Jose's primary offensive engine—six goals, eight assists, and an elite 15.0% shooting rate.

The Islanders counter with two proven producers. Anders Lee has compiled nine goals and twenty assists while sustaining a 1.20 xG/60 rate, suggesting he's a premium volume player despite his 6.4% shooting sitting below league average. Bo Horvat has registered eighteen goals and ten assists, a total that speaks to genuine offensive merit—his 12.8% shooting isn't a mirage.

Igor Chernyshov is a defensive weak link for San Jose; Alexander Romanov for New York. Both teams have posted 0% rebound goal rates and 0% high-danger-chance conversions, an unusual pattern that suggests neither is generating second-chance opportunities at the league's typical rate. In a matchup this close, defensive miscues and second chances will decide it.

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
NYI
Anders Lee9G 20A
1.20 xG/60 · 2 HD · 6.4% sh
Bo Horvat18G 10A
0.87 xG/60 · 3 HD · 12.8% sh
Source · MoneyPuck skaters