Backcheck
Recap · SEA at NSH

Predators run the Kraken off the ice on the underlying numbers

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

By the ModelJul 12, 7:55 AMxG: xgboost-0.758Edited for clarity
Away
SEA
Seattle Kraken
1
Home
NSH
Nashville Predators
3
FINAL
Process vs result

The underlying story

3.12Expected goals5.46
64% share for the better side
26Shot attempts (SOG)28
2High-danger chances8
56Corsi (all attempts)68
Score-adjusted: 48% / 52%
Source · NHL play-by-play · XGBoost xG

Nashville's 3–1 victory understates the Predators' dominance. Both teams underperformed their expected goals—the Predators by 2.46, the Kraken by 2.12—yet Nashville's superior underlying metrics (64% of 5v5 xG, 8 high-danger chances versus 2) meant the result was never truly in doubt.

The Predators commanded 52% of shot attempts and shot with devastating purpose. They generated 0.080 expected goals per shot compared to Seattle's 0.056, a quality gap that revealed itself through relentless net-crashing (4 rebound chances) and purposeful puck movement.

Seattle's J. Daccord mounted a valiant resistance. The goalie stopped 3.46 goals above expected with a 0.926 save percentage—a worthy effort that deserved a tighter margin. For Nashville, J. Annunen (0.962 SV%, +2.12 above expected) closed the door on any Kraken comeback.

Filip Forsberg struck early in the third period with a wrist shot from the wing (18:10), setting the tone. His two-assist evening, paired with goals from R. O'Reilly and an assist from B. Skjei, reflected a night in which the Predators converted while the Kraken could not.

The variance worked against Seattle, but only because Nashville had generated far better opportunities to exploit.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SEA0 / 2 · 0.38 xG
NSH2 / 8 · 2.77 xG
Medium dangermid-range
SEA1 / 18 · 1.88 xG
NSH0 / 19 · 1.96 xG
Low dangerperimeter & point
SEA0 / 36 · 0.86 xG
NSH1 / 41 · 0.73 xG

NSH went 0-for-19 from medium danger on 1.96 expected goals — 2.0 left on the table.

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

Finishing vs expected

expectedactual
SEA
1 G · 3.12 xG · -2.1
NSH
3 G · 5.46 xG · -2.5
0123456
Goalies · GSAx (goals saved above expected)
J. DaccordSEA
+3.5
J. AnnunenNSH
+2.1

SEA finished -2.1 against expected, NSH -2.5 — J. Daccord (SEA) saved 3.5 goals above expected.

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

Shot diet

goalsshots
SEA
WRIST0/32
SNAP0/5
SLAP0/3
BACKHAND0/1
TIP IN1/5
DEFLECTED0/0
BAT0/1
POKE0/0
OTHER0/9
NSH
WRIST1/24
SNAP1/8
SLAP1/7
BACKHAND0/7
TIP IN0/2
DEFLECTED0/2
BAT0/0
POKE0/1
OTHER0/17
SEA
NSH
Off the rush
1 G on 30 · 1.95 xG
1 G on 38 · 3.70 xG
Off rebounds
0 G on 4 · 0.63 xG
0 G on 4 · 0.64 xG

Wrist shots carried the volume: SEA went 0-for-32, NSH 1-for-24.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
F. Forsberg
#9 · L · NSH
1 G · 2 A · 2 SOG · 18:28 TOI · +1
B. Skjei
#76 · D · NSH
0 G · 1 A · 2 SOG · 26:32 TOI · +1
R. O'Reilly
#90 · C · NSH
1 G · 0 A · 2 SOG · 21:42 TOI
Ranked from the box score — points first · Backcheck
What the model flagged
  • SEA generated higher-quality looks than the shot total suggests.
  • J. Daccord (SEA) stopped 3.5 goals above expected.
  • NSH generated far more dangerous chances — 0.080 xG/shot vs 0.056. Quality over quantity.
  • NSH created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • SEA created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • NSH underperformed xG by 2.5 — wasted quality chances.
  • SEA underperformed xG by 2.1 — wasted quality chances.
  • J. Daccord (SEA) saved 3.5 goals above expected — stole the show.
  • J. Annunen (NSH) saved 2.1 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · SEA at NSH · 8:00 PM ET

Kraken at Predators: a genuine coin flip

By the ModelJul 12, 7:54 AMEdited for clarity
Win probability

The model's lean

54%
NSH
Model favorite
46%
54%
SEA50NSH

NSH by 8 points of win probability — a modest lean. Projected score SEA 2.42.6 NSH; 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 →NSH
46.0%5v5 xG%49.0%
45.0%Corsi%50.0%
2.13xGF / 602.48
2.51xGA / 602.58
1.87Goals for / gm1.84
1.95Goals against / gm2.21
1.011PDO — luck, not skill0.992

The season numbers split 33 — no clear process edge — and PDO (1.011 vs 0.992) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.4–2.6 goal range with Nashville holding a 54% win probability—so close to a pick'em that any conviction here is overconfidence. Nashville's territorial advantage and Seattle's recent form are the only reasons the Predators edge the needle at all.

Start with Corsi, which separates these teams most cleanly: Nashville drives play at 50.0%, Seattle at 45.0%. That territorial tilt translates to puck possession. Nashville's expected-goals share (49.0%) tracks with that control; Seattle's (46.0%) reflects a team playing in the red. Over their last 10 games, Seattle is -6 in goal differential, a stretch that confirms the underlying struggle.

Both teams' shooting luck runs counter to underlying play. Seattle's PDO sits at 1.011, meaning they've scored more than their expected-goals models predict—a gap that won't hold. Nashville's is 0.992, a deficit that should tighten. That's narrative one: PDO arbitrage means Seattle has extracted excess value, and Nashville is due for positive regression.

The goaltending matchup introduces genuine uncertainty. J. Saros and P. Grubauer are both on back-to-backs, which could trigger backup appearances or fatigued starters—the kind of tactical detail that moves tight games.

On the ice, Seattle's offense runs through 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 generate dangerous looks at high frequency, and Wright's shooting percentage sits above normal.

Nashville counters with Zachary L'Heureux (0.85 xG/60, 4 goals, 0 assists, 1 high-danger goal, 16.0% shooting) and Filip Forsberg (0.80 xG/60, 23 goals, 17 assists, 4 high-danger goals, 13.6% shooting). L'Heureux is running an unsustainable shooting rate; expect regression. Forsberg is the elite volume scorer.

The tension is simple: Nashville's Corsi edge means they'll control positioning more often, but Seattle's scorers have been efficient. Forsberg's 23 goals represent Nashville's primary elite offensive threat; that's either an edge or a liability if Seattle's defense focuses there. Chandler Stephenson and Jonathan Marchessault become critical on defense because neither team has overwhelming depth.

This is a game where the model knows its limits. Both teams can win. The Predators' underlying play is slightly better; the Kraken's scorers have been sharp. In a 2.4-goal range, either could land on the right side of variance.

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
NSH
Zachary L'Heureux4G 0A
0.85 xG/60 · 1 HD · 16.0% sh
Filip Forsberg23G 17A
0.80 xG/60 · 4 HD · 13.6% sh
Source · MoneyPuck skaters