Backcheck
Recap · SEA at SJS

J. Daccord stands tall as the Kraken edge the Sharks

The Kraken stole one. They lost the expected-goals battle 3.34–6.42 and won anyway.

By the ModelJul 11, 9:20 PMxG: xgboost-0.758Edited for clarity
Away
SEA
Seattle Kraken
4
Home
SJS
San Jose Sharks
2
FINAL
Process vs result

The underlying story

3.34Expected goals6.42
66% share for the better side
32Shot attempts (SOG)37
5High-danger chances14
45Corsi (all attempts)86
Score-adjusted: 33% / 67%
Source · NHL play-by-play · XGBoost xG

The Kraken stole this one. Seattle won 4–2 despite San Jose commanding 66% of expected goals (6.42–3.34)—a gap that renders the scoreboard almost irrelevant. The Sharks controlled shot attempts at 54% (37–32) and dominated high-danger chances 14–5. Yet they lost.

J. Daccord engineered the heist. The Kraken goaltender made 35 of 36 saves for a 0.972 save percentage, stopping 5.42 goals above expected. Y. Askarov, by comparison, posted 0.903 on 28 of 31 saves—respectable, but insufficient when Daccord lapped him in volume.

Seattle's efficiency was severe. The Kraken scored twice from low-danger spots and were lethal on the rush with 3 goals on 26 chances. San Jose squandered its offensive quality: 11 rebound opportunities, zero conversions. The Sharks underperformed expected goals by 4.4, meaning they had the chances but couldn't finish.

Chandler Stephenson's backhander from the doorstep in the third period exemplified Seattle's ruthlessness. Stephenson collected 1 goal and 1 assist in 22:06; E. Tolvanen added 1 goal and 1 assist in 19:22. M. Celebrini contributed 1 assist for San Jose in 22:32.

This was never close in the shots that mattered—Daccord simply refused to surrender to San Jose's dominance.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SEA1 / 5 · 1.91 xG
SJS2 / 14 · 3.62 xG
Medium dangermid-range
SEA1 / 11 · 1.04 xG
SJS0 / 19 · 2.05 xG
Low dangerperimeter & point
SEA2 / 29 · 0.40 xG
SJS0 / 53 · 0.74 xG

SJS went 0-for-19 from medium danger on 2.05 expected goals — 2.0 left on the table.

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

Finishing vs expected

expectedactual
SEA
4 G · 3.34 xG · +0.7
SJS
2 G · 6.42 xG · -4.4
01234567
Goalies · GSAx (goals saved above expected)
J. DaccordSEA
+5.4
Y. AskarovSJS
+0.3

SEA finished +0.7 against expected, SJS -4.4 — J. Daccord (SEA) saved 5.4 goals above expected.

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

Shot diet

goalsshots
SEA
WRIST3/22
BACKHAND1/5
SLAP0/3
TIP IN0/5
SNAP0/1
DEFLECTED0/0
WRAP AROUND0/0
OTHER0/9
SJS
WRIST0/31
BACKHAND1/7
SLAP0/9
TIP IN0/5
SNAP0/5
DEFLECTED0/2
WRAP AROUND0/1
OTHER1/26
SEA
SJS
Off the rush
3 G on 26 · 2.91 xG
2 G on 33 · 3.95 xG
Off rebounds
0 G on 2 · 0.30 xG
0 G on 11 · 1.53 xG

Wrist shots carried the volume: SEA went 3-for-22, SJS 0-for-31. SEA scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
C. Stephenson
#9 · C · SEA
1 G · 1 A · 3 SOG · 22:06 TOI · +3
E. Tolvanen
#20 · R · SEA
1 G · 1 A · 1 SOG · 19:22 TOI · +2
M. Celebrini
#71 · C · SJS
0 G · 1 A · 1 SOG · 22:32 TOI · -1
Ranked from the box score — points first · Backcheck
What the model flagged
  • SEA stole this one. SJS owned 66% of the xG and lost.
  • SEA generated higher-quality looks than the shot total suggests.
  • J. Daccord (SEA) stopped 5.4 goals above expected.
  • Open game — 19 high-danger chances combined (SJS 14, SEA 5).
  • SEA scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • SJS was lethal off the rush — 2 goals on 33 rush chances.
  • SEA was lethal off the rush — 3 goals on 26 rush chances.
  • SJS created 11 rebound opportunities (0 converted) — crashing the net effectively.
  • SJS underperformed xG by 4.4 — wasted quality chances.
  • J. Daccord (SEA) saved 5.4 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · SEA at SJS · 10:00 PM ET

Kraken at Sharks: a genuine coin flip

By the ModelJul 11, 9:19 PMEdited for clarity
Win probability

The model's lean

53%
SJS
Model favorite
47%
53%
SEA50SJS

SJS by 6 points of win probability — a modest lean. Projected score SEA 2.42.5 SJS; 19% chance it's tied after 60.

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

Tale of the tape

SEA← edge
edge →SJS
46.0%5v5 xG%48.0%
45.0%Corsi%47.0%
2.13xGF / 602.33
2.51xGA / 602.56
1.87Goals for / gm1.99
1.95Goals against / gm2.32
1.011PDO — luck, not skill0.998

SJS holds 4 of 6 process categories — and PDO (1.011 vs 0.998) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.4-2.5 goal spread with San Jose favored at 53%, which is about as close as competitive hockey gets. This is not a team advantage masquerading as a toss-up — it's a toss-up.

Both teams control the puck at similar rates. Seattle's 46.0% expected goals share and 45.0% Corsi share say they're outshot in the underlying play; San Jose's 48.0% xG and 47.0% Corsi confirm the reverse, but the margins are narrow enough that luck dominates. Seattle's 1.011 PDO suggests they've been better than the numbers; San Jose's 0.998 suggests they've been worse. In a game this close, that noise matters more than the signal.

Seattle's top threats are Shane Wright and Berkly Catton. Wright has 8 goals and 10 assists on 0.77 expected goals per 60 minutes—he's converting at elite rates (10.4% shooting) on a 4 high-danger-goal stretch. Catton adds 6 goals and 8 assists on 0.68 xG/60, but his 5 high-danger goals and 8.8% shooting rate show he's found the areas that count. Together they represent Seattle's offensive ceiling.

San Jose counters with Pavol Regenda, whose 1.10 xG/60 and 16.1% shooting rate produced 5 goals in limited space, including 2 high-danger conversions—unusually hot. Igor Chernyshov pairs 0.91 xG/60 with 6 goals and 8 assists at 15.0% shooting, though he's converted just 1 high-danger goal. Both are scoring at rates that suggest early-season variance, especially Regenda, who may regress.

The tactical imbalance is marginal. Seattle's Chandler Stephenson and San Jose's Igor Chernyshov stand out as defensive weaknesses, but when the offense is this tightly matched and depth scoring this uncertain, goaltending will settle it. It always does when the numbers refuse to pick a winner.

Computed danger · scouting

Players to watch

SEA
Shane Wright8G 10A
0.77 xG/60 · 4 HD · 10.4% sh
Berkly Catton6G 8A
0.68 xG/60 · 5 HD · 8.8% 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
Source · MoneyPuck skaters