Backcheck
Recap · SEA at MIN

Wild pull away from the Kraken

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

By the ModelJul 12, 10:46 AMxG: xgboost-0.758Edited for clarity
Away
SEA
Seattle Kraken
2
Home
MIN
Minnesota Wild
5
FINAL
Process vs result

The underlying story

2.88Expected goals3.97
58% share for the better side
27Shot attempts (SOG)29
1High-danger chances9
64Corsi (all attempts)47
Score-adjusted: 59% / 41%
Source · NHL play-by-play · XGBoost xG

Minnesota's dominance went beyond the 5-2 scoreline. The Wild's shot quality was nearly twice Seattle's — they generated 0.084 expected goals per attempt, compared to the Kraken's 0.045.

That efficiency gap explains their dominance. Minnesota held 52% of shot attempts (29–27 on goal) and 58% of 5v5 expected goals (3.97–2.88). High-danger chances ran 9–1 in Minnesota's favor.

J. Wallstedt deserved credit for the margin. He overperformed his expected goals by 0.88, posting a 0.926 save percentage on 25 saves. J. Daccord, facing relentless pressure, finished at 0.857 and underperformed his xG by 0.88.

Minnesota's danger came from two sources: the rush and the net. The Wild scored twice off 23 rush chances and converted 2 of 4 rebound opportunities, a sign of effective net-crashing. Seattle countered from low-leverage spots, scoring on chances with just 0.045 expected goals each — the kind of goals a goalie typically stops.

The turning point came early. J. Eriksson Ek's wrist shot from the wing at 17:17 of the third period gave Minnesota separation they wouldn't relinquish.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SEA0 / 1 · 0.37 xG
MIN3 / 9 · 2.30 xG
Medium dangermid-range
SEA0 / 14 · 1.51 xG
MIN2 / 12 · 1.30 xG
Low dangerperimeter & point
SEA2 / 49 · 1.01 xG
MIN0 / 26 · 0.37 xG

SEA went 0-for-14 from medium danger on 1.51 expected goals — 1.5 left on the table.

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

Finishing vs expected

expectedactual
SEA
2 G · 2.88 xG · -0.9
MIN
5 G · 3.97 xG · +1.0
0123456
Goalies · GSAx (goals saved above expected)
J. DaccordSEA
-0.0
J. WallstedtMIN
+0.9

SEA finished -0.9 against expected, MIN +1.0 — J. Wallstedt (MIN) saved 0.9 goals above expected.

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

Shot diet

goalsshots
SEA
WRIST0/26
SLAP1/9
SNAP1/5
BACKHAND0/3
TIP IN0/2
WRAP AROUND0/0
OTHER0/19
MIN
WRIST4/19
SLAP0/4
SNAP0/7
BACKHAND0/2
TIP IN1/2
WRAP AROUND0/1
OTHER0/12
SEA
MIN
Off the rush
1 G on 31 · 2.20 xG
2 G on 23 · 2.38 xG
Off rebounds
0 G on 1 · 0.04 xG
2 G on 4 · 0.66 xG

Wrist shots carried the volume: SEA went 0-for-26, MIN 4-for-19. MIN scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
J. Eriksson Ek
#14 · C · MIN
1 G · 2 A · 3 SOG · 13:09 TOI · +3
M. Boldy
#12 · L · MIN
1 G · 1 A · 1 SOG · 14:29 TOI · +2
M. Johansson
#90 · L · MIN
1 G · 1 A · 1 SOG · 12:12 TOI · +3
Ranked from the box score — points first · Backcheck
What the model flagged
  • MIN generated far more dangerous chances — 0.084 xG/shot vs 0.045. Quality over quantity.
  • SEA scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • MIN was lethal off the rush — 2 goals on 23 rush chances.
  • MIN created 4 rebound opportunities (2 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · SEA at MIN · 8:00 PM ET

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

By the ModelJul 12, 10:45 AMEdited for clarity
Win probability

The model's lean

57%
MIN
Model favorite
43%
57%
SEA50MIN

MIN by 14 points of win probability — a modest lean. Projected score SEA 2.32.7 MIN; 18% 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 →MIN
46.0%5v5 xG%52.0%
45.0%Corsi%48.0%
2.13xGF / 602.55
2.51xGA / 602.40
1.87Goals for / gm2.04
1.95Goals against / gm1.93
1.011PDO — luck, not skill1.007

MIN holds 6 of 6 process categories — and PDO (1.011 vs 1.007) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

Minnesota's 57% win probability reflects a structural advantage in expected goal generation and shot attempts, not recent heroics. The model projects a 2.3-2.7 Minnesota victory.

Recent Form

Minnesota is 6-4-0 in their last ten games. Seattle has collapsed, sitting at -23 goal differential over that same span. The records matter, but they're trailing indicators—the underlying metrics lead.

Where Minnesota's Edge Lives

At 5v5, Minnesota generates 52.0% of expected goals versus Seattle's 46.0%. The Corsi split (Minnesota 48.0%, Seattle 45.0%) confirms it in shot attempts: Minnesota controls volume from better positions. Seattle's 1.011 PDO hasn't overcome the volume deficit; Minnesota's 1.007 suggests regression won't help either. This is sustainable dominance.

Goaltending Volatility

P. Grubauer on back-to-back duty often means a backup start or tired performance—either creates an opening for Minnesota's depth to exploit weak-side positioning.

Players to Watch

  • Matt Boldy (MIN) — 0.89 xG/60 with 22 goals and 13.7% shooting. He converts volume into goals at an elite rate.
  • Shane Wright (SEA) — 0.77 xG/60, four high-danger goals, 10.4% shooting. Elite-level chance generation at a high conversion rate.
  • Robby Fabbri (MIN) — 0.88 xG/60. Likely out.
  • Berkly Catton (SEA) — 0.68 xG/60, 6 goals, 8.8% shooting. Secondary scoring threat.

Depth Defense

Neither team converts high-danger chances into rebounds—second-chance goals won't decide this game. Chandler Stephenson (Seattle) and Matt Kiersted (Minnesota) are the defensive weak links that will see action.

Minnesota's edge is durable. Unless Seattle finds sudden volume or a goaltending upset, the model's math holds.

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
MIN
Matt Boldy22G 18A
0.89 xG/60 · 5 HD · 13.7% sh
Robby Fabbri2G 3A
0.88 xG/60 · 1 HD · 6.9% sh
Source · MoneyPuck skaters