Backcheck
Recap · CAR at TBL

Lightning run the Hurricanes off the ice on the underlying numbers

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

By the ModelJul 11, 9:17 PMxG: xgboost-0.758Edited for clarity
Away
CAR
Carolina Hurricanes
4
Home
TBL
Tampa Bay Lightning
6
FINAL
Process vs result

The underlying story

2.04Expected goals4.97
71% share for the better side
22Shot attempts (SOG)29
2High-danger chances10
50Corsi (all attempts)61
Score-adjusted: 43% / 57%
Source · NHL play-by-play · XGBoost xG

The 6-4 scoreline flattered Carolina. Tampa Bay controlled 71% of expected goals (4.97–2.04), a gap that typically produces a 5-2 result, not a 2-goal game. Carolina overperformed by 1.96 goals; A. Vasilevskiy underperformed by 1.96 despite facing only 22 shots.

The Lightning's quality advantage was decisive. They generated 0.081 xG per shot versus Carolina's 0.041—a 2:1 ratio—and converted from dangerous areas. Ten high-danger chances to two told the story. Tampa's 57% shot-attempt share (29–22) was dwarfed by their xG dominance. They created 8 rebound opportunities and converted 2, while crashing the net effectively.

Carolina's power play (2 PPG on 12 PP shots) was dominant, and they scored 4 from 21 rush chances while finding 2 from low-danger spots. It wasn't enough against Tampa's efficiency: 2 goals on 27 rush chances, plus the bulk of the open-ice play.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CAR0 / 2 · 0.38 xG
TBL3 / 10 · 2.43 xG
Medium dangermid-range
CAR2 / 12 · 1.24 xG
TBL3 / 17 · 2.13 xG
Low dangerperimeter & point
CAR2 / 36 · 0.42 xG
TBL0 / 34 · 0.41 xG

CAR went 2-for-36 from low danger on 0.42 expected goals — 1.6 above expected.

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

Finishing vs expected

expectedactual
CAR
4 G · 2.04 xG · +2.0
TBL
6 G · 4.97 xG · +1.0
01234567
Goalies · GSAx (goals saved above expected)
P. KochetkovCAR
-0.0
A. VasilevskiyTBL
-2.0

CAR finished +2.0 against expected, TBL +1.0 — A. Vasilevskiy (TBL) allowed 2.0 more goals than expected.

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

Shot diet

goalsshots
CAR
WRIST1/15
SLAP1/10
TIP IN1/3
SNAP0/2
BACKHAND1/2
POKE0/1
DEFLECTED0/1
BAT0/1
WRAP AROUND0/0
OTHER0/15
TBL
WRIST3/29
SLAP0/3
TIP IN1/6
SNAP1/5
BACKHAND1/1
POKE0/0
DEFLECTED0/0
BAT0/0
WRAP AROUND0/1
OTHER0/16
CAR
TBL
Off the rush
4 G on 21 · 1.29 xG
2 G on 27 · 2.78 xG
Off rebounds
0 G on 2 · 0.17 xG
2 G on 8 · 1.34 xG

Wrist shots carried the volume: CAR went 1-for-15, TBL 3-for-29. CAR scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
R. McDonagh
#27 · D · TBL
1 G · 1 A · 1 SOG · 19:34 TOI · +3
J. Guentzel
#59 · C · TBL
2 G · 0 A · 5 SOG · 19:19 TOI · +1
C. D'Astous
#51 · D · TBL
0 G · 2 A · 0 SOG · 16:42 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • CAR generated higher-quality looks than the shot total suggests.
  • A. Vasilevskiy (TBL) gave up 2.0 goals more than expected — well below their workload.
  • TBL generated far more dangerous chances — 0.081 xG/shot vs 0.041. Quality over quantity.
  • CAR scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • TBL was lethal off the rush — 2 goals on 27 rush chances.
  • CAR was lethal off the rush — 4 goals on 21 rush chances.
  • TBL created 8 rebound opportunities (2 converted) — crashing the net effectively.
  • CAR outperformed their expected goals by 2.0 — elite finishing or lucky bounces.
  • CAR power play was dominant — 2 PPG on 12 PP shots (0.81 xG).
Before the game — the model's pre-game read
Preview · CAR at TBL · 7:00 PM ET

Hurricanes at Lightning: a genuine coin flip

By the ModelJul 11, 9:15 PMEdited for clarity
Win probability

The model's lean

50%
CAR
Model favorite
50%
50%
CAR50TBL

CAR by 0 points of win probability — effectively a coin flip. Projected score CAR 2.62.6 TBL; 18% chance it's tied after 60.

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

Tale of the tape

CAR← edge
edge →TBL
56.0%5v5 xG%54.0%
60.0%Corsi%53.0%
2.98xGF / 602.67
2.31xGA / 602.28
2.26Goals for / gm2.38
1.95Goals against / gm1.85
0.984PDO — luck, not skill1.019

The season numbers split 33 — no clear process edge — and PDO (0.984 vs 1.019) says TBL has run hotter.

Source · MoneyPuck season tables · 5v5

The pregame model calls this perfectly even: Carolina 2.6 goals, Tampa Bay 2.6 goals, each team at 50% to win. Neither team holds an edge—which makes sense when you dig into the underlying data.

Carolina controls play. The Hurricanes run 60.0% Corsi and own 56.0% expected goals share, meaning they're generating more dangerous chances and occupying more of the ice. Tampa Bay sits at 53.0% Corsi and 54.0% xG%—respectable, but they're being pressured.

Yet Tampa's conversion rates are working overtime. The Lightning's PDO of 1.019 signals they're finishing above the long-run average and receiving excellent goaltending. Carolina sits at 0.984, running cold. That's the tension in this matchup: a possession-dominant team can still be 50/50 to lose when their opponent is converting at a premium rate.

Expect this to normalize. Tampa's shooting will regress downward. Carolina's should move up.

The attacking gap isn't dramatic. Jackson Blake drives at 14 goals and 19 assists with 1.06 expected goals per 60 minutes; Seth Jarvis has produced 17 goals on 11.9% shooting, suggesting efficient finishing. Brandon Hagel leads Tampa at 23 goals and 26 assists (1.10 xG/60), while Anthony Cirelli's 5 high-danger goals paired with 17.0% shooting implies finish that may not hold.

Defensively, both clubs struggle with the same problem. Victor Hedman is a consistent weak link in Tampa's third; Charles Alexis Legault occupies that role for Carolina. Both sit at 0% on high-danger and rebound goals, which means neither team is leaking chance quality in obvious ways, but neither is shutting down dangerous looks.

This is a true coin flip: possession favors one team, luck slightly favors the other, and the two forces offset. The winner will be whoever's regression accelerates first.

Computed danger · scouting

Players to watch

CAR
Jackson Blake14G 19A
1.06 xG/60 · 2 HD · 10.9% sh
Seth Jarvis17G 12A
0.98 xG/60 · 1 HD · 11.9% sh
TBL
Brandon Hagel23G 26A
1.10 xG/60 · 2 HD · 15.8% sh
Anthony Cirelli15G 18A
0.95 xG/60 · 5 HD · 17.0% sh
Source · MoneyPuck skaters