Backcheck
Recap · SJS at BOS

A. Nedeljkovic stands tall as the Sharks edge the Bruins

The Sharks stole one. They lost the expected-goals battle 3.92–4.56 and won anyway.

By the ModelJul 12, 6:45 AMxG: xgboost-0.758Edited for clarity
Away
SJS
San Jose Sharks
4
Home
BOS
Boston Bruins
2
FINAL
Process vs result

The underlying story

3.92Expected goals4.56
54% share for the better side
28Shot attempts (SOG)41
9High-danger chances7
46Corsi (all attempts)79
Score-adjusted: 32% / 68%
Source · NHL play-by-play · XGBoost xG

The Sharks beat the Bruins 4–2, but the expected-goal metric suggested Boston deserved better—a 4.56–3.92 xG advantage for the visitors. The underlying game belonged to the Bruins; the scoresheet didn't.

Boston controlled play with 59% of shot attempts (41–28). Expected goals split 54–46 in their favor. High-danger chances went 7–9, a narrow edge to San Jose. Yet despite a stronger process, the Bruins left the ice with a loss.

The culprit: goaltending variance. A. Nedeljkovic was exceptional. He stopped 39 of 41 shots for a 0.951 save percentage—2.56 goals above expected. On high-danger opportunities, he was perfect, stopping all seven chances against him. Meanwhile, J. Swayman (24/28, 0.857 SV%) couldn't match that ceiling, and Boston's ability to finish dried up. The Bruins went 0 for 7 on high-danger chances—a shooting drought that explained the scoreline better than any underlying metric.

San Jose converted at better rates elsewhere. The Sharks were lethal off the rush, scoring twice on 22 rush attempts. They also cashed in on rebound opportunities, converting two of six (versus Boston's zero of three). The Sharks' shot quality was sharper too: 0.085 xG per shot versus Boston's 0.058. Fewer chances, better ones.

David Pastrnak's slap shot from the top of the circles (19:07, third period) was the game's turning point—a moment when the Bruins' dominance might have shifted. It didn't.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SJS3 / 9 · 2.07 xG
BOS0 / 7 · 1.69 xG
Medium dangermid-range
SJS1 / 11 · 1.29 xG
BOS1 / 20 · 1.97 xG
Low dangerperimeter & point
SJS0 / 26 · 0.57 xG
BOS1 / 52 · 0.90 xG

BOS went 0-for-7 from high danger on 1.69 expected goals — 1.7 left on the table.

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

Finishing vs expected

expectedactual
SJS
4 G · 3.92 xG · +0.1
BOS
2 G · 4.56 xG · -2.6
012345
Goalies · GSAx (goals saved above expected)
A. NedeljkovicSJS
+2.6
J. SwaymanBOS
-0.1

SJS finished +0.1 against expected, BOS -2.6 — A. Nedeljkovic (SJS) saved 2.6 goals above expected.

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

Shot diet

goalsshots
SJS
WRIST2/23
SLAP0/5
SNAP0/3
TIP IN0/2
BACKHAND0/2
DEFLECTED1/2
BAT1/1
OTHER0/8
BOS
WRIST1/23
SLAP1/16
SNAP0/6
TIP IN0/6
BACKHAND0/2
DEFLECTED0/2
BAT0/3
OTHER0/21
SJS
BOS
Off the rush
2 G on 22 · 2.42 xG
1 G on 37 · 3.30 xG
Off rebounds
2 G on 6 · 1.14 xG
0 G on 3 · 0.33 xG

Wrist shots carried the volume: SJS went 2-for-23, BOS 1-for-23. SJS scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
D. Pastrnak
#88 · R · BOS
1 G · 1 A · 4 SOG · 25:00 TOI
W. Eklund
#72 · L · SJS
1 G · 1 A · 3 SOG · 15:24 TOI · +2
T. Toffoli
#73 · C · SJS
1 G · 1 A · 2 SOG · 11:29 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • A. Nedeljkovic (SJS) stopped 2.6 goals above expected.
  • Open game — 16 high-danger chances combined (BOS 7, SJS 9).
  • SJS had the higher quality looks — 0.085 xG/shot vs 0.058.
  • BOS couldn't convert — 0/7 on high-danger chances. That won't happen often.
  • SJS was lethal off the rush — 2 goals on 22 rush chances.
  • BOS created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • SJS created 6 rebound opportunities (2 converted) — crashing the net effectively.
  • BOS underperformed xG by 2.6 — wasted quality chances.
  • A. Nedeljkovic (SJS) saved 2.6 goals above expected — stole the show.
  • A. Nedeljkovic was a wall on HD chances — 100% SV on 7 high-danger shots.
Before the game — the model's pre-game read
Preview · SJS at BOS · 7:00 PM ET

Sharks at Bruins: a genuine coin flip

By the ModelJul 12, 6:44 AMEdited for clarity
Win probability

The model's lean

52%
BOS
Model favorite
48%
52%
SJS50BOS

BOS by 4 points of win probability — effectively a coin flip. Projected score SJS 2.52.6 BOS; 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 →BOS
48.0%5v5 xG%47.0%
47.0%Corsi%49.0%
2.33xGF / 602.39
2.56xGA / 602.67
1.99Goals for / gm2.22
2.32Goals against / gm1.82
0.998PDO — luck, not skill1.023

BOS holds 4 of 6 process categories — and PDO (0.998 vs 1.023) says BOS has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects the Sharks to score 2.5–2.6 goals, with the Bruins holding 52% win probability. This is about as close to a pick'em as they come.

Boston is the hotter team by recent form, posting a 5-2-3 record in their last ten games. San Jose has struggled over the same stretch, sitting at minus-10 in goal differential. At even strength, the gap is negligible: Boston leads in Corsi% at 49.0% compared to 47.0%, while San Jose holds a slight edge in expected goals percentage at 48.0% to 47.0%. The Bruins' 1.023 PDO indicates they're running above their underlying metrics and due for some regression.

The Bruins' offensive threat centers on Viktor Arvidsson, who has generated 1.04 expected goals per 60 minutes with 18 goals and 24 assists this season. Tanner Jeannot provides secondary scoring at 0.75 xG/60 with six goals and 14 assists. Defensively, Boston's Elias Lindholm is a known weak point.

San Jose's Pavol Regenda—the team's primary scoring threat at 1.10 xG/60 with five goals and one assist—is marked likely out. That burden shifts to Igor Chernyshov, who has posted 0.91 xG/60, six goals, eight assists, and a 15.0% shooting percentage. Chernyshov is also San Jose's defensive vulnerability.

Both teams carry unusual statistical signatures: neither has registered measurable hard-chance or rebound-goal rates, suggesting either selective tracking or early-season variance. The winner will be the team that executes its offensive plan most decisively.

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
BOS
Viktor Arvidsson18G 24A
1.04 xG/60 · 2 HD · 13.0% sh
Tanner Jeannot6G 14A
0.75 xG/60 · 2 HD · 8.3% sh
Source · MoneyPuck skaters