Backcheck
Recap · CHI at SEA

Blackhawks run the Kraken off the ice on the underlying numbers

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

By the ModelJul 12, 10:29 AMxG: xgboost-0.758Edited for clarity
Away
CHI
Chicago Blackhawks
4
Home
SEA
Seattle Kraken
2
FINAL
Process vs result

The underlying story

4.30Expected goals2.82
60% share for the better side
31Shot attempts (SOG)27
5High-danger chances5
60Corsi (all attempts)62
Score-adjusted: 46% / 54%
Source · NHL play-by-play · XGBoost xG

The 4-2 final understates Chicago's control. The Blackhawks dominated on the underlying numbers—capturing 60% of 5v5 expected goals at 4.30 to 2.82.

But the real gap was in shot quality. The Kraken generated expected goals at just 0.045 per shot, compared to Chicago's 0.072—a 60% quality advantage for the Blackhawks. This explains how a roughly even possession battle, where Seattle held 47% of shot attempts, turned into a rout. The Kraken underperformed their xG by 0.82 goals; had they converted to expectation, the final would have stayed close.

Ilya Mikheyev's wrist shot from the wing (P3, 18:48) marked the turn, crystallizing Chicago's dominance at a moment when the Blackhawks were already ahead in the underlying metrics.

High-danger chances split 5-5, but Chicago converted the ones that mattered. The Blackhawks went 3-for-5 on HD chances (60%); Seattle managed 2-for-5 (40%). Chicago's 34 rush chances produced 4 goals. A. Soderblom posted a 0.926 SV% and outperformed expected by 0.82 goals. P. Grubauer was even sharper—0.900 SV% and 1.30 goals above expected—yet it didn't matter. Some nights, elite goaltending can't overcome a fundamental quality gap.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CHI3 / 5 · 1.63 xG
SEA2 / 5 · 1.20 xG
Medium dangermid-range
CHI1 / 21 · 2.17 xG
SEA0 / 11 · 1.13 xG
Low dangerperimeter & point
CHI0 / 34 · 0.50 xG
SEA0 / 46 · 0.49 xG

CHI went 3-for-5 from high danger on 1.63 expected goals — 1.4 above expected.

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

Finishing vs expected

expectedactual
CHI
4 G · 4.30 xG · -0.3
SEA
2 G · 2.82 xG · -0.8
012345
Goalies · GSAx (goals saved above expected)
A. SoderblomCHI
+0.8
P. GrubauerSEA
+1.3

CHI finished -0.3 against expected, SEA -0.8 — P. Grubauer (SEA) saved 1.3 goals above expected.

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

Shot diet

goalsshots
CHI
WRIST3/34
SLAP0/2
BACKHAND0/4
SNAP1/4
TIP IN0/1
POKE0/2
OTHER0/13
SEA
WRIST1/23
SLAP0/7
BACKHAND0/4
SNAP1/2
TIP IN0/4
POKE0/0
OTHER0/22
CHI
SEA
Off the rush
4 G on 34 · 3.76 xG
1 G on 21 · 1.83 xG
Off rebounds
0 G on 4 · 0.36 xG
1 G on 3 · 0.67 xG

Wrist shots carried the volume: CHI went 3-for-34, SEA 1-for-23. CHI scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
W. Kaiser
#44 · D · CHI
0 G · 2 A · 1 SOG · 20:41 TOI · -1
C. Bedard
#98 · C · CHI
0 G · 2 A · 2 SOG · 17:41 TOI
I. Mikheyev
#95 · R · CHI
1 G · 1 A · 2 SOG · 17:14 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • P. Grubauer (SEA) stopped 1.3 goals above expected.
  • CHI had the higher quality looks — 0.072 xG/shot vs 0.045.
  • SEA was clinical in the high-danger zone — 2/5 on HD chances (40%).
  • CHI was clinical in the high-danger zone — 3/5 on HD chances (60%).
  • CHI was lethal off the rush — 4 goals on 34 rush chances.
  • SEA created 3 rebound opportunities (1 converted) — crashing the net effectively.
  • CHI created 4 rebound opportunities (0 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · CHI at SEA · 10:00 PM ET

The Kraken are the model's lean over the Blackhawks on the underlying numbers

By the ModelJul 12, 10:28 AMEdited for clarity
Win probability

The model's lean

56%
SEA
Model favorite
44%
56%
CHI50SEA

SEA by 12 points of win probability — a modest lean. Projected score CHI 2.32.7 SEA; 18% chance it's tied after 60.

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

Tale of the tape

CHI← edge
edge →SEA
42.0%5v5 xG%46.0%
46.0%Corsi%45.0%
2.17xGF / 602.13
2.94xGA / 602.51
1.84Goals for / gm1.87
2.41Goals against / gm1.95
0.996PDO — luck, not skill1.011

SEA holds 4 of 6 process categories — and PDO (0.996 vs 1.011) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.3–2.7 goal spread favoring Seattle, with the Kraken at 56% win probability. That edge rests on a cleaner process advantage that neither team's recent form has fully erased.

Seattle owns the underlying play. The Kraken carry a 46.0% 5v5 expected goals share versus Chicago's 42.0%—a four-point edge that persists even as both teams have stumbled. The Blackhawks sit at 0.996 PDO (lucky to be even), while Seattle's 1.011 suggests modest overperformance. Corsi% tells a murkier story: Chicago at 46.0%, Seattle at 45.0%, almost indistinguishable.

Both teams entered this game wounded. Chicago has been -17 on goal differential over its last 10 games; Seattle, -10. Neither club is playing well, but the Kraken's underlying metrics haven't deteriorated the way the Blackhawks' have. That disconnect—when a team's numbers say it should be better than its results—often persists longer than you'd expect.

The goaltending situation clouds the matchup. Both J. Daccord and S. Knight skate on back-to-backs, raising the prospect of a backup starter or a fatigued regular. Watch for that decision in the pre-game lineup. It could swing the edge.

For Chicago, Tyler Bertuzzi is the primary threat: 20 goals and 15 assists on 0.85 xG/60, with 7 high-danger goals and an 18.0% shooting rate that far exceeds expectation. Connor Bedard adds 17 goals and 27 assists at 0.82 xG/60, with 5 high-danger goals at 11.8% shooting—also above his underlying metrics.

Seattle counters with Shane Wright at 0.77 xG/60 with 8 goals and 10 assists, though only 4 high-danger goals at 10.4% shooting. Berkly Catton (0.68 xG/60, 6 goals, 8 assists, 5 high-danger goals, 8.8% shooting) provides complementary scoring in smaller volume.

The Kraken's advantage on expected goals doesn't guarantee a translation to the scoreboard. Anton Frondell emerges as Chicago's defensive weak link; Chandler Stephenson, Seattle's. That gap may ultimately decide which team's underlying advantage bleeds into the win column.

Computed danger · scouting

Players to watch

CHI
Tyler Bertuzzi20G 15A
0.85 xG/60 · 7 HD · 18.0% sh
Connor Bedard17G 27A
0.82 xG/60 · 5 HD · 11.8% sh
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
Source · MoneyPuck skaters