Backcheck
Recap · SEA at FLA

Panthers edge the Kraken in a shootout

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

By the ModelJul 12, 8:40 AMxG: xgboost-0.758Edited for clarity
Away
SEA
Seattle Kraken
4
Home
FLA
Florida Panthers
5
FINAL / OT
Process vs result

The underlying story

3.67Expected goals3.47
51% share for the better side
27Shot attempts (SOG)25
8High-danger chances6
54Corsi (all attempts)58
Score-adjusted: 52% / 49%
Source · NHL play-by-play · XGBoost xG

The Panthers won because they scored more than they deserved. Expected goals favored Seattle 3.67–3.47; the Panthers overperformed their xG by 1.53 goals, turning a close game into a shootout victory.

The underlying play was tight. The Kraken created more high-danger chances (8–6). The Panthers generated 4 goals on 25 rush attempts, compared to Seattle's 3 on the same volume—a marginal efficiency gain that proved decisive. Rebound chances told a different story: the Panthers created four but converted none, showing that their offensive pressure came from speed, not setup play.

Vinnie Hinostroza's backhander from the doorstep in the shootout sealed it, the moment a team that had underperformed its fundamentals finally got lucky when it mattered most.

The goaltending split reflected the game's chaos. J. Daccord stopped 21 of 24 (0.875 SV%), while S. Bobrovsky made 23 of 27 (0.852 SV%). Neither was dominant, but both faced a barrage of chances and survived. The Panthers' ability to finish at the rush—and the Kraken's relative inability to convert their chances elsewhere—made the difference.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SEA2 / 8 · 1.90 xG
FLA1 / 6 · 1.32 xG
Medium dangermid-range
SEA1 / 13 · 1.41 xG
FLA2 / 14 · 1.62 xG
Low dangerperimeter & point
SEA1 / 33 · 0.36 xG
FLA1 / 38 · 0.53 xG

SEA went 1-for-33 from low danger on 0.36 expected goals — 0.6 above expected.

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

Finishing vs expected

expectedactual
SEA
4 G · 3.67 xG · +0.3
FLA
5 G · 3.47 xG · +1.5
0123456
Goalies · GSAx (goals saved above expected)
J. DaccordSEA
+0.5
S. BobrovskyFLA
-0.3

SEA finished +0.3 against expected, FLA +1.5 — J. Daccord (SEA) saved 0.5 goals above expected.

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

Shot diet

goalsshots
SEA
WRIST1/21
SNAP2/4
SLAP1/10
BACKHAND0/4
TIP IN0/2
WRAP AROUND0/0
DEFLECTED0/0
OTHER0/13
FLA
WRIST1/7
SNAP1/17
SLAP0/4
BACKHAND0/4
TIP IN0/3
WRAP AROUND0/1
DEFLECTED1/1
OTHER1/21
SEA
FLA
Off the rush
3 G on 25 · 3.26 xG
4 G on 25 · 2.65 xG
Off rebounds
0 G on 2 · 0.17 xG
0 G on 4 · 0.55 xG

Wrist shots carried the volume: SEA went 1-for-21, FLA 1-for-7. FLA scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
J. Eberle
#7 · R · SEA
1 G · 1 A · 3 SOG · 21:59 TOI · +2
N. Gregor
#18 · L · FLA
1 G · 1 A · 3 SOG · 10:26 TOI · +2
B. Montour
#62 · D · SEA
0 G · 1 A · 3 SOG · 26:46 TOI · -1
Ranked from the box score — points first · Backcheck
What the model flagged
  • FLA was lethal off the rush — 4 goals on 25 rush chances.
  • SEA was lethal off the rush — 3 goals on 25 rush chances.
  • FLA created 4 rebound opportunities (0 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · SEA at FLA · 7:00 PM ET

Kraken at Panthers: a genuine coin flip

By the ModelJul 12, 8:39 AMEdited for clarity
Win probability

The model's lean

55%
FLA
Model favorite
45%
55%
SEA50FLA

FLA by 10 points of win probability — a modest lean. Projected score SEA 2.32.6 FLA; 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 →FLA
46.0%5v5 xG%49.0%
45.0%Corsi%52.0%
2.13xGF / 602.48
2.51xGA / 602.56
1.87Goals for / gm1.98
1.95Goals against / gm2.21
1.011PDO — luck, not skill0.989

FLA holds 4 of 6 process categories — and PDO (1.011 vs 0.989) says SEA has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a SEA 2.3 - 2.6 FLA game with the Panthers at 55% win probability. This is about as close to a pick'em as you'll find.

Florida's territorial advantage is real. The Panthers control play at 52.0% Corsi, a possession edge that compounds over sixty minutes. Seattle's expected goals lag Florida's—46.0% xG% versus 49.0%—suggesting the Kraken will face consistent pressure. That gap, combined with Florida's superior shot quality, should favor the home team.

But luck intervenes. Seattle's PDO of 1.011 means they're converting at a higher rate than quality of shot would predict; Florida's 0.989 PDO cuts the other way. That's a swing of roughly half a goal per game with nothing to do with talent.

The rest advantage belongs to Florida. The Panthers arrive fresh off three days rest while Seattle comes in on zero, a structural edge that typically manifests in third-period execution. Over a full game, fatigue compounds.

Players to Watch

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

FLA

  • Sam Bennett — 0.97 xG/60, 18G 19A, 6 HD goals, 13.1% shooting
  • Brad Marchand — 0.93 xG/60, 17G 9A, 3 HD goals, 19.5% shooting ⚠️ Hasn't played in 18 days; status uncertain.

The territorial tilt, the rest advantage, and Florida's superior shot-quality numbers all point to the Panthers. So does that 55% model probability. But a five-percentage-point edge in a single game is noise wearing a lab coat. This is, genuinely, a coin flip.

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
FLA
Sam Bennett18G 19A
0.97 xG/60 · 6 HD · 13.1% sh
Brad Marchand17G 9A
0.93 xG/60 · 3 HD · 19.5% sh
Source · MoneyPuck skaters