Backcheck
Recap · MIN at SEA

Wild edge the Kraken in overtime

The Wild won a genuine coin flip — neither side controlled the run of play.

By the ModelJul 12, 12:20 AMxG: xgboost-0.758Edited for clarity
Away
MIN
Minnesota Wild
3
Home
SEA
Seattle Kraken
2
FINAL / OT
Process vs result

The underlying story

3.65Expected goals3.84
51% share for the better side
34Shot attempts (SOG)28
6High-danger chances5
65Corsi (all attempts)63
Score-adjusted: 46% / 54%
Source · NHL play-by-play · XGBoost xG

Minnesota won 3-2 in overtime, but the underlying numbers favored Seattle. The Kraken generated 3.84 expected goals to the Wild's 3.65—a 51-49 split that predicted a close result or a Kraken win. Instead, Seattle underperformed its xG by 1.84 goals, wasting quality chances while Minnesota capitalized on weaker looks.

The Kraken controlled shot geography: 45% of shot attempts, 28 on goal to Minnesota's 34. But volume and positioning didn't translate to results. Minnesota went 0-for-6 on high-danger chances, a rare collapse that typically punishes teams. Minnesota escaped this self-inflicted wound through atypical low-danger finishing: two goals from spots where opposing goaltenders live to make saves.

Goaltending proved decisive. J. Wallstedt (MIN) made 26 saves on 28 shots and finished +1.84 above expected, stealing the game with an exceptional performance. P. Grubauer (SEA) was no liability—31 saves on 34 shots, +0.65 above expected—but when skaters leave 1.8 goals on the table, a resilient night from your goalie cannot overcome the deficit.

Minnesota's efficiency off the rush was the true difference: three goals on 28 rush chances. Seattle created nine rebound opportunities and converted two; Minnesota created three and converted none. Rush scoring is the hardest angle to defend.

Mats Zuccarello's wrist shot from the slot at 02:09 of overtime was the turning point, ending a game Seattle probably deserved on volume alone.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MIN0 / 6 · 1.42 xG
SEA1 / 5 · 1.28 xG
Medium dangermid-range
MIN1 / 13 · 1.48 xG
SEA0 / 18 · 1.77 xG
Low dangerperimeter & point
MIN2 / 46 · 0.75 xG
SEA1 / 40 · 0.79 xG

SEA went 0-for-18 from medium danger on 1.77 expected goals — 1.8 left on the table.

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

Finishing vs expected

expectedactual
MIN
3 G · 3.65 xG · -0.7
SEA
2 G · 3.84 xG · -1.8
012345
Goalies · GSAx (goals saved above expected)
J. WallstedtMIN
+1.8
P. GrubauerSEA
+0.7

MIN finished -0.7 against expected, SEA -1.8 — J. Wallstedt (MIN) saved 1.8 goals above expected.

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

Shot diet

goalsshots
MIN
WRIST3/29
SLAP0/4
SNAP0/5
BACKHAND0/4
TIP IN0/2
DEFLECTED0/2
BAT0/0
OTHER0/19
SEA
WRIST1/32
SLAP1/9
SNAP0/5
BACKHAND0/3
TIP IN0/4
DEFLECTED0/0
BAT0/1
OTHER0/9
MIN
SEA
Off the rush
3 G on 28 · 2.75 xG
0 G on 27 · 1.80 xG
Off rebounds
0 G on 3 · 0.36 xG
2 G on 9 · 1.18 xG

Wrist shots carried the volume: MIN went 3-for-29, SEA 1-for-32. MIN scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
B. Faber
#7 · D · MIN
1 G · 1 A · 3 SOG · 29:09 TOI · +2
V. Dunn
#29 · D · SEA
0 G · 2 A · 4 SOG · 25:32 TOI
K. Kaprizov
#97 · L · MIN
0 G · 2 A · 4 SOG · 24:44 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • J. Wallstedt (MIN) stopped 1.8 goals above expected.
  • MIN couldn't convert — 0/6 on high-danger chances. That won't happen often.
  • MIN scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • MIN was lethal off the rush — 3 goals on 28 rush chances.
  • SEA created 9 rebound opportunities (2 converted) — crashing the net effectively.
  • MIN created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • SEA underperformed xG by 1.8 — wasted quality chances.
  • J. Wallstedt (MIN) saved 1.8 goals above expected — stole the show.
  • P. Grubauer was a wall on HD chances — 100% SV on 6 high-danger shots.
Before the game — the model's pre-game read
Preview · MIN at SEA · 10:00 PM ET

Wild at Kraken: a genuine coin flip

By the ModelJul 12, 12:00 AMEdited for clarity
Win probability

The model's lean

53%
MIN
Model favorite
53%
47%
MIN50SEA

MIN by 6 points of win probability — a modest lean. Projected score MIN 2.52.4 SEA; 19% chance it's tied after 60.

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

Tale of the tape

MIN← edge
edge →SEA
52.0%5v5 xG%46.0%
48.0%Corsi%45.0%
2.55xGF / 602.13
2.40xGA / 602.51
2.04Goals for / gm1.87
1.93Goals against / gm1.95
1.007PDO — luck, not skill1.011

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

Source · MoneyPuck season tables · 5v5

Minnesota's 53% win probability—2.5 expected goals to Seattle's 2.4—qualifies as a genuine coin flip.

The Wild's slim edge reflects superior even-strength control. They command 52.0% of 5v5 expected goals versus Seattle's 46.0%, a meaningful gap that shows up in Corsi as well: 48.0% to 45.0%. PDO runs nearly identical (1.007 and 1.011), meaning luck isn't hiding a deeper imbalance.

J. Daccord plays a back-to-back. Seattle will likely deploy him if the game stays close, accepting tired legs over a fresh backup—a gamble that could swing the goaltending margin.

Players to Watch

MIN

  • Matt Boldy — 0.89 xG/60, 22G 18A, 5 HD goals, 13.7% shooting.
  • Robby Fabbri — 0.88 xG/60, 2G 3A, 1 HD goal, 6.9% shooting. Listed as inactive.

SEA

  • Shane Wright — 0.77 xG/60, 8G 10A, 4 HD goals, 10.4% shooting.
  • Berkly Catton — 0.68 xG/60, 6G 8A, 5 HD goals, 8.8% shooting.

Both teams' defensive weak links—Matt Kiersted (Minnesota) and Chandler Stephenson (Seattle)—represent pressure points where possession can flip. Both clubs register 0% high-danger and 0% rebound goals at 5v5, an absence of secondary scoring that could matter if a trailing team needs a comeback.

The numbers side with Minnesota. Whether its 53% translates to a regulation result depends on which goaltender steadies first.

Computed danger · scouting

Players to watch

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
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