Backcheck
Recap · COL at SEA

M. Blackwood stands tall as the Avalanche edge the Kraken

The Avalanche stole one. They lost the expected-goals battle 4.85–6.09 and won anyway.

By the ModelJul 11, 8:47 PMxG: xgboost-0.758Edited for clarity
Away
COL
Colorado Avalanche
5
Home
SEA
Seattle Kraken
3
FINAL
Process vs result

The underlying story

4.85Expected goals6.09
56% share for the better side
39Shot attempts (SOG)38
5High-danger chances15
85Corsi (all attempts)73
Score-adjusted: 53% / 47%
Source · NHL play-by-play · XGBoost xG

The Kraken dominated the expected-goal battle (56% at 5-on-5, 6.09–4.85) and still lost 5-3. That gap between dominance and defeat lives almost entirely with M. Blackwood, who saved 3.09 goals above expected.

Colorado won this through two mechanisms: superior finishing in the high-danger area and a goaltender who refused to let volume matter. The Kraken generated 15 high-danger chances to Colorado's 5—a 3-to-1 advantage in the most dangerous shots. They held 49% of shot attempts with 38–39 on goal, yet still lost. They also generated more dangerous chances per shot (0.083 xG/shot versus Colorado's 0.057). By every measure of offensive volume, the Kraken built a fortress. None of it mattered.

M. Blackwood (35/38 saves, 0.921 SV%) turned away the difference. P. Grubauer, by contrast, was merely above-average (+0.85 vs expected), allowing Colorado's low-danger inefficiency to become actual goals.

Colorado executed ruthlessly in the spots that matter most: they converted 2 of 5 high-danger chances (40%) and scored 3 goals from low-danger positions—the kind that shouldn't survive competent goaltending, yet did. They also found two goals on the rush from 34 chances. Efficiency in transition and the red zone masked their underlying weakness.

The turning point came from N. MacKinnon's backhander from the top of the circles at 19:36. MacKinnon finished with 2 goals and an assist over 23:30. C. Makar added 2 assists in 22:48, and M. Necas contributed 2 assists in 21:16.

The Kraken's loss wasn't about a lack of chances. They underperformed their xG by 3.09 goals—wasted volume. For Seattle, that's the closer that stings most.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
COL2 / 5 · 1.37 xG
SEA2 / 15 · 3.83 xG
Medium dangermid-range
COL0 / 22 · 2.57 xG
SEA0 / 13 · 1.66 xG
Low dangerperimeter & point
COL3 / 58 · 0.91 xG
SEA1 / 45 · 0.60 xG

COL went 0-for-22 from medium danger on 2.57 expected goals — 2.6 left on the table.

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

Finishing vs expected

expectedactual
COL
5 G · 4.85 xG · +0.1
SEA
3 G · 6.09 xG · -3.1
01234567
Goalies · GSAx (goals saved above expected)
M. BlackwoodCOL
+3.1
P. GrubauerSEA
+0.9

COL finished +0.1 against expected, SEA -3.1 — M. Blackwood (COL) saved 3.1 goals above expected.

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

Shot diet

goalsshots
COL
WRIST0/25
BACKHAND1/9
SNAP1/6
TIP IN0/6
SLAP2/8
DEFLECTED1/2
BAT0/2
WRAP AROUND0/0
OTHER0/27
SEA
WRIST2/31
BACKHAND1/5
SNAP0/7
TIP IN0/6
SLAP0/2
DEFLECTED0/2
BAT0/1
WRAP AROUND0/1
OTHER0/18
COL
SEA
Off the rush
2 G on 34 · 2.32 xG
1 G on 29 · 2.75 xG
Off rebounds
1 G on 9 · 1.28 xG
2 G on 10 · 2.60 xG

Wrist shots carried the volume: COL went 0-for-25, SEA 2-for-31. COL scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
N. MacKinnon
#29 · C · COL
2 G · 1 A · 6 SOG · 23:30 TOI · +3
C. Makar
#8 · D · COL
0 G · 2 A · 2 SOG · 22:48 TOI · +1
M. Necas
#88 · C · COL
0 G · 2 A · 1 SOG · 21:16 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • COL stole this one. SEA owned 56% of the xG and lost.
  • M. Blackwood (COL) stopped 3.1 goals above expected.
  • Open game — 20 high-danger chances combined (SEA 15, COL 5).
  • SEA generated far more dangerous chances — 0.083 xG/shot vs 0.057. Quality over quantity.
  • COL was clinical in the high-danger zone — 2/5 on HD chances (40%).
  • COL scored 3 goals from low-danger spots — the opposing goalie needs to have those.
  • COL was lethal off the rush — 2 goals on 34 rush chances.
  • SEA created 10 rebound opportunities (2 converted) — crashing the net effectively.
  • COL created 9 rebound opportunities (1 converted) — crashing the net effectively.
  • SEA underperformed xG by 3.1 — wasted quality chances.
  • M. Blackwood (COL) saved 3.1 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · COL at SEA · 10:00 PM ET

The Avalanche are the model's lean over the Kraken — with PDO regression in play

By the ModelJul 11, 8:38 PMEdited for clarity
Win probability

The model's lean

57%
COL
Model favorite
57%
43%
COL50SEA

COL by 14 points of win probability — a modest lean. Projected score COL 2.82.3 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

COL← edge
edge →SEA
57.0%5v5 xG%46.0%
57.0%Corsi%45.0%
3.03xGF / 602.13
2.30xGA / 602.51
2.63Goals for / gm1.87
1.56Goals against / gm1.95
1.021PDO — luck, not skill1.011

COL holds 6 of 6 process categories — and PDO (1.021 vs 1.011) says COL has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects an Avalanche victory at 57% probability — a 2.8-2.3 scoreline. Colorado owns the underlying metrics: 57.0% expected goals versus Seattle's 46.0%, and 57.0% Corsi versus 45.0%. These reflect dominance in zone presence and shot quality. But the Avalanche are running hot on PDO (1.021, versus Seattle's 1.011), and regression is coming.

Artturi Lehkonen is the engine. His 1.11 xG per 60 minutes drives Colorado's edge; at 18 goals and 22 assists with 6 high-danger chances and a 14.9% shooting rate, he's both efficient and volume-oriented. Ross Colton (1.10 xG/60, 7 goals, 15 assists, 1 high-danger goal, 4.9% shooting) supplies secondary scoring.

Seattle counters with Shane Wright (0.77 xG/60, 8 goals, 10 assists, 4 high-danger goals, 10.4% shooting) and Berkly Catton (0.68 xG/60, 6 goals, 8 assists, 5 high-danger goals, 8.8% shooting). Both operate below Lehkonen's offensive profile.

Both teams sit at 0% high-danger goal rates and 0% rebound goal rates—an unusual symmetry suggesting neither is cashing in on second-chance opportunities. Colorado's defensive weak point is Nazem Kadri; Seattle's is Chandler Stephenson. The model likes the Avalanche's edge in underlying play, but that PDO is the catch. Seattle doesn't need to dominate—variance will do.

Computed danger · scouting

Players to watch

COL
Artturi Lehkonen18G 22A
1.11 xG/60 · 6 HD · 14.9% sh
Ross Colton7G 15A
1.10 xG/60 · 1 HD · 4.9% 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