Backcheck
Recap · PIT at SEA

Penguins pull away from the Kraken

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

By the ModelJul 12, 1:48 AMxG: xgboost-0.758Edited for clarity
Away
PIT
Pittsburgh Penguins
6
Home
SEA
Seattle Kraken
3
FINAL
Process vs result

The underlying story

4.08Expected goals3.64
53% share for the better side
32Shot attempts (SOG)23
5High-danger chances4
65Corsi (all attempts)48
Score-adjusted: 53% / 47%
Source · NHL play-by-play · XGBoost xG

Pittsburgh's 6-3 victory masked a much tighter game underneath. Expected goals split 3.64–4.08 in the Penguins' favor—a 53-47 edge that barely qualifies as dominant, yet the scoreboard read like a rout.

The Penguins manufactured their three-goal margin through elite efficiency. They overperformed their xG by 1.92 goals, converting four low-danger chances that most goalies stop. Pittsburgh was lethal off the rush, scoring three times on 29 rush attempts. They crashed the net aggressively, creating seven rebound opportunities—patient execution even if none converted.

Seattle's problem was goaltending variance working in the opposite direction. S. Skinner stopped 20 of 23 shots (0.870 SV%) and outperformed his expected mark by 0.64 goals. J. Daccord faced 31 shots, saved 26 (0.839 SV%), and underperformed expectations by 0.92. The Kraken held 42 percent of shot attempts and created high-danger chances at a near-even clip (4–5), but couldn't execute when it mattered.

Seattle's issue wasn't territory or structure—it was precision in the offensive zone and timely saves at the other end. The underlying metrics suggested a competitive game. The final score told a different story.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
PIT1 / 5 · 1.53 xG
SEA1 / 4 · 1.16 xG
Medium dangermid-range
PIT1 / 13 · 1.64 xG
SEA2 / 16 · 1.89 xG
Low dangerperimeter & point
PIT4 / 47 · 0.91 xG
SEA0 / 28 · 0.60 xG

PIT went 4-for-47 from low danger on 0.91 expected goals — 3.1 above expected.

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

Finishing vs expected

expectedactual
PIT
6 G · 4.08 xG · +1.9
SEA
3 G · 3.64 xG · -0.6
01234567
Goalies · GSAx (goals saved above expected)
S. SkinnerPIT
+0.6
J. DaccordSEA
-0.9

PIT finished +1.9 against expected, SEA -0.6 — J. Daccord (SEA) allowed 0.9 more goals than expected.

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

Shot diet

goalsshots
PIT
WRIST5/28
SNAP0/8
TIP IN0/4
SLAP1/4
BACKHAND0/4
WRAP AROUND0/1
DEFLECTED0/0
OTHER0/16
SEA
WRIST1/24
SNAP1/5
TIP IN0/4
SLAP1/3
BACKHAND0/1
WRAP AROUND0/0
DEFLECTED0/1
OTHER0/10
PIT
SEA
Off the rush
3 G on 29 · 1.79 xG
1 G on 24 · 2.61 xG
Off rebounds
0 G on 7 · 1.26 xG
1 G on 2 · 0.39 xG

Wrist shots carried the volume: PIT went 5-for-28, SEA 1-for-24. PIT scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
S. Crosby
#87 · C · PIT
0 G · 2 A · 2 SOG · 18:04 TOI · +2
A. Mantha
#39 · R · PIT
0 G · 2 A · 3 SOG · 13:47 TOI
B. Meyers
#59 · C · SEA
1 G · 1 A · 2 SOG · 13:01 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • PIT scored 4 goals from low-danger spots — the opposing goalie needs to have those.
  • PIT was lethal off the rush — 3 goals on 29 rush chances.
  • PIT created 7 rebound opportunities (0 converted) — crashing the net effectively.
  • PIT outperformed their expected goals by 1.9 — elite finishing or lucky bounces.
Before the game — the model's pre-game read
Preview · PIT at SEA · 5:00 PM ET

Penguins at Kraken: a genuine coin flip

By the ModelJul 12, 1:46 AMEdited for clarity
Win probability

The model's lean

52%
PIT
Model favorite
52%
48%
PIT50SEA

PIT by 4 points of win probability — effectively a coin flip. Projected score PIT 2.62.5 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

PIT← edge
edge →SEA
51.0%5v5 xG%46.0%
50.0%Corsi%45.0%
2.66xGF / 602.13
2.55xGA / 602.51
2.45Goals for / gm1.87
2.12Goals against / gm1.95
1.012PDO — luck, not skill1.011

PIT holds 4 of 6 process categories — and PDO (1.012 vs 1.011) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

The projection is Pittsburgh at 2.6 expected goals, Seattle at 2.5—Penguins 52% to win. This is as close to even as hockey models get.

The Penguins own the underlying play. They're generating 51.0% of 5v5 expected goals and controlling 50.0% of shot attempts. That's territorial dominance; the Kraken, at 46.0% xG and 45.0% Corsi, are being outshotted and out-chanced.

But the teams' PDO tells a different story. Pittsburgh sits at 1.012, Seattle at 1.011—statistically indistinguishable. This uniformity suggests parity in finishing and goaltending luck. Pittsburgh's edge in possession doesn't translate to a large edge in goals, meaning a team trailing in underlying metrics could steal it. Add A. Silovs playing on back-to-back rest, and Seattle's goaltending is a variable worth watching.

For Pittsburgh, Rickard Rakell is the engine: 1.01 xG per 60 minutes, 13 goals and 13 assists, converting at 12.1%—well above league average. He's consistently touching the puck in dangerous spots. Filip Hallander (1.28 xG/60) is likely unavailable; he's been recalled from conditioning with the AHL Penguins for further evaluation and testing, removing Pittsburgh's highest-volume threat.

Seattle counters with Shane Wright and Berkly Catton. Wright is generating 0.77 xG per 60 with eight goals and four high-danger chances; Catton, at 0.68 xG/60, has six goals and leads the pair with five high-danger finishes. Both are shooting modestly—Wright at 10.4%, Catton at 8.8%—which means upside if one heats up.

The defensive vulnerabilities are modest but real. Caleb Jones anchors Pittsburgh's backend; Chandler Stephenson does the same for Seattle. Neither is typically a liability, but a possession-dominant team often finds ways to exploit the weaker link.

Pittsburgh should control this game. It owns the underlying play at 5v5, and the model's 52% edge reflects that. But the nearly identical PDO and Silovs' rest concerns are legitimate. The Penguins get the slight edge, not more.

Computed danger · scouting

Players to watch

PIT
Filip Hallander0G 3A
1.28 xG/60 · 0 HD · 0.0% sh
Rickard Rakell13G 13A
1.01 xG/60 · 3 HD · 12.1% 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