Motion-blurred skater in a Carolina Hurricanes sweater
Breakdown · UTA at CAR

Hurricanes run the Mammoth off the ice on the underlying numbers

The verdict · earned

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

UTA 4 · CAR 5
◆ By the ModelJul 12, 3:13 AMxG: xgboost-0.758Edited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

The Hurricanes won 5-4, and the underlying numbers backed their victory—but barely. Carolina controlled 61% of expected goals (4.65–3.03), 57% of shot attempts, yet Utah overperformed their xG by 0.97 goals, keeping the result closer than the metrics suggested.

Carolina's power play set the tone: 3 goals on 14 PP shots (1.32 xG). The Mammoth's lethal rushing attack—three goals on 24 rush chances—generated enough offense to stay competitive despite trailing in most underlying measures. That mix of dominance and danger explains how a team trailing badly on the underlying numbers remained within a single goal.

The Hurricanes controlled the net-front game: 4 rebound opportunities (3 converted) showed crash-the-net effectiveness. Utah generated 5 rebounds (1 converted), a lower conversion rate reflecting their broader efficiency gap. The difference was decision-making and desperation—Carolina finished low-danger chances, while Utah relied on rush production to stay relevant.

Jordan Staal's tip-in from the doorstep in the third period exemplified that net presence. K. Vejmelka (UTA) stopped 28 of 33 shots (0.848 SV%), while B. Bussi (CAR) posted 21 of 25 (0.840 SV%), running 0.97 cold against expected performance. Those fractions mattered.

The story is variance. Carolina's underlying dominance should have resulted in a wider margin. Their edge in xG, shot attempts, and rebound conversion didn't fully translate. Utah's efficient rushing and Carolina's cold goaltending kept this tighter than the metrics predicted—a gap that typically widens in longer series.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Jan 29
UTA
4
CAR
5

Hurricanes run the Mammoth off the ice on the underlying numbers

Chances 3.0 – 4.7Did they deserve it? →
Did they deserve it?

The Hurricanes earned this one.

Expected goals · chance value
UTA
3.03
CAR
4.65
39% of the chances61%

The board read UTA 4, CAR 5. The chances read UTA 3.0, CAR 4.7.

Our xG model · NHL play-by-play · all situations
Luck check
CAR
+0.3
goals above expected
CAR4.65 expected · 5 scored
Expected
Scored
UTA3.03 expected · 4 scored
Expected
Scored

Both sides finished close to what their chances were worth. This one was earned on the ice.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P1 03:04CARA. Svechnikov0–1
  2. P2 04:10UTAK. Yamamoto1–1
  3. P2 08:24UTAK. Yamamoto2–1
  4. P2 17:36CARS. GostisbeherePP2–2
  5. P2 17:55UTAJ. Peterka3–2
  6. P3 07:11UTAM. Carcone4–2
  7. P3 18:01CARA. SvechnikovPP4–3
+2 more on the full breakdown
NHL play-by-play · chance value from our xG model
Where the shots came from
UTA
35 shots
4
Final
86 shots
CAR
51 shots
5
UTA attackCAR attack
UTA CAR Goal
35
shots · 4 in
51
shots · 5 in
Every unblocked shot · press play to replay it
Chances by danger
UTACAR
1 / 5
1.17 xG
High danger
2 / 8
2.21 xG
2 / 14
1.38 xG
Medium
1 / 14
1.67 xG
1 / 24
0.48 xG
Low
2 / 48
0.77 xG

The Hurricanes buried 2 of 8 high-danger looks.

Danger tiers by our xG model · high ≥ 20% chance
In the net
D
K. Vejmelka
−0.3
UTA · 28/33
D-
B. Bussi
−1.0
CAR · 21/25
The numbers, checked
BACKCHECK

Hurricanes run the Mammoth off the ice on the underlying numbers

A model, not a newsroom. Every number on these frames comes from the NHL's play-by-play and our own models. Nothing was watched, guessed or heard from anyone.

Read the full breakdown
backcheckreport.com
01 / 08 · Final
Every goal, in order

How it happened

NHL play-by-play
1stshots 8–9
  1. 03:04CARA. Svechnikov0–1
2ndshots 13–10
  1. 04:10UTAK. Yamamoto(J. McBain)1–1
  2. 08:24UTAK. Yamamoto(N. DeSimone, M. Carcone)2–1
  3. 17:36CARS. Gostisbeherepower play(A. Svechnikov, S. Jarvis)2–2
  4. 17:55UTAJ. Peterka(B. Hayton)3–2
3rdshots 4–14
  1. 07:11UTAM. Carcone(J. McBain, K. Yamamoto)4–2
  2. 18:01CARA. Svechnikovpower play(S. Gostisbehere, N. Ehlers)4–3
  3. 18:33CARS. Gostisbeherepower play(J. Blake, J. Slavin)4–4
  4. 19:30CARJ. Staal(J. Martinook, J. Chatfield)4–5

score reads UTA–CAR

Source · NHL play-by-play (api-web.nhle.com)
Process vs result

The numbers

XGBoost xG · NHL play-by-play
4.65
CAR chances
Goals their shots were worth
+0.3
Finishing
Goals above what those chances were worth
0.978
CAR puck luck
Below 1.000 — the bounces went against them
61.9%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

3.03Expected goals4.65
CAR 61% of the chance quality
25Shots on goal33
5High-danger chances8
43All attempts (Corsi)70
Adjusted for score: UTA 37% · CAR 63%
Faceoffs · CAR won75%off58%neu35%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
UTA1 / 5 · 1.17 xG
CAR2 / 8 · 2.21 xG
Medium dangermid-range
UTA2 / 14 · 1.38 xG
CAR1 / 14 · 1.67 xG
Low dangerperimeter & point
UTA1 / 24 · 0.48 xG
CAR2 / 48 · 0.77 xG

CAR went 2-for-48 from low danger on 0.77 expected goals — 1.2 above expected.

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

Finishing vs expected

expectedactual
UTA
4 G · 3.03 xG · +1.0
CAR
5 G · 4.65 xG · +0.3
0123456

UTA finished +1.0 against expected, CAR +0.3.

Source · Backcheck xG model
Shot types · rush and rebound chancesopen +
What they shot — and what went in

Shot diet

goalsshots
UTA
SNAP2/15
WRIST2/11
SLAP0/3
TIP IN0/3
BACKHAND0/2
DEFLECTED0/1
OTHER0/8
CAR
SNAP3/19
WRIST0/16
SLAP1/9
TIP IN1/5
BACKHAND0/2
DEFLECTED0/0
OTHER0/19
UTA
CAR
Off the rush
3 G on 24
1.94 xG
0 G on 30
3.25 xG
Off rebounds
1 G on 5
0.87 xG
3 G on 4
0.89 xG

Snap shots carried the volume: UTA went 2-for-15, CAR 3-for-19. UTA scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
New to these numbers?

Two things happened in this game: who created the better chances, and who put the puck in the net. They are not the same thing, and this page separates them on purpose.

The one to watch is expected goals— the best single read on who deserved to win. When it disagrees with the scoreboard, that disagreement is usually the story. Nothing here is a projection; every figure is computed from this game's play-by-play. Full glossary →

xG
Expected goals. Every shot scored by how often that exact look goes in. 2.5 xG means the chances were worth about two and a half goals.
HD
High-danger chances — shots from the slot and the crease, where shots actually become goals.
Corsi
Every shot attempt, including the ones that missed or got blocked. A rough read on who had the puck.
Adj.
Score-adjusted. Teams that trail shoot more and teams that lead sit back, so this corrects the attempt count for the scoreboard.
GSAx
Goals saved above expected. A positive number means the goalie stopped more than an average goalie would have on those shots.
PDO
Shooting % plus save % — a luck gauge. It sits near 1.000 over a season, so a game far from it usually means the bounces decided it.
Shot by shot

In the net

Graded on goals saved above expected
K. Vejmelka
UTA · 28/33 · .848
-0.3
saved above expected
D
the night
By dangerG/attxGsaved
High danger2/82.2+0.2
Medium1/141.7+0.7
Low2/480.8-1.2

A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

B. Bussi
CAR · 21/25 · .840
-1.0
saved above expected
D-
the night
By dangerG/attxGsaved
High danger1/51.2+0.2
Medium2/141.4-0.6
Low1/240.5-0.5

A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

86 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
UTA
35 shots
4
Final
86 shots
CAR
51 shots
5
UTA attackCAR attack
UTA CAR Goal

Each club shoots toward its own end — UTA left, CAR right — the way you would watch it. A dot's size is how dangerous the look was, from distance and angle; it is a proxy for shot quality, not the xG model the article is written from. Hover a dot for the shooter and the clock.

Ranked from the box score

Three stars

Points first
Three stars · computed, not voted
S. Gostisbehere
#4 · D · CAR
2 G · 1 A · 3 SOG · 20:24 on ice · -1
A. Svechnikov
#37 · R · CAR
2 G · 1 A · 4 SOG · 19:59 on ice · +1
K. Yamamoto
#56 · R · UTA
2 G · 1 A · 5 SOG · 11:25 on ice · +2
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Thu, Jan 29
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 12, 3:11 AMEdited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

The model projects a 2.5 - 2.8 goal UTA-CAR game with Carolina at 56% win probability. That projection rests on three edges: the Hurricanes' territorial dominance, superior shot quality, and a rest advantage that compounds the gap.

Carolina owns the underlying play. They generate 56.0% of 5v5 expected goals against Utah's 52.0%—a meaningful gap at this level. More telling: the Hurricanes' 60.0% Corsi mark signals consistent pressure. They dictate where play happens, not just who scores it. Utah will spend significant stretches defending their own zone.

That advantage widens off the bench. Carolina arrives on four days of rest; Utah on one. The gap matters in the third period, especially against a team built on forecheck intensity. Goaltender fatigue adds another complication: V. Vanecek is on a back-to-back, which could push a backup into the crease or leave the starter running on fumes.

The wrinkle: Carolina's PDO sits at 0.984—well below neutral—meaning they're burying a historically low percentage of their chances. Regression is due. Utah's 1.003 suggests the opposite trajectory. In a close game, a variance swing favors the Hurricanes.

Utah's offensive strategy narrows to two levers. They need to neutralize Dylan Guenther, who drives play at 1.02 xG per 60 minutes with 28 goals and 3 high-danger chances while shooting 16.8%. Watch Daniil But too: his 5.6% shooting rate on 1.01 xG per 60 signals both opportunity and opportunity squandered—a spark waiting for one hot night.

Carolina counters with depth. Jackson Blake operates at 1.06 xG per 60 with 14 goals, 19 assists, and 2 high-danger markers at 10.9% efficiency. Seth Jarvis, quieter in volume at 0.98 xG per 60, shoots 11.9%—steady hands on high-leverage possessions. His 17 goals and 12 assists underscore reliability when it matters.

Defensively, Utah's Maveric Lamoureux represents the soft point; for Carolina, Charles Alexis Legault carries that burden. The Hurricanes' territorial superiority means they'll generate chances off the rush. Utah must exploit gaps when they own the puck—and those moments will be sparse.

Players to Watch

UTA

  • Dylan Guenther — 1.02 xG/60, 28G 15A, 3 HD goals, 16.8% shooting
  • Daniil But — 1.01 xG/60, 2G 2A, 1 HD goals, 5.6% shooting

CAR

  • Jackson Blake — 1.06 xG/60, 14G 19A, 2 HD goals, 10.9% shooting
  • Seth Jarvis — 0.98 xG/60, 17G 12A, 1 HD goals, 11.9% shooting
What the model said beforehand

The model's lean

CAR 56%
56%
CAR
Model favorite
44%
56%
UTA50CAR

CAR by 12 points of win probability — a modest lean. Projected score UTA 2.5–2.8 CAR; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season rates · 5v5

Tale of the tape

NHL stats API · our xG
UTA← edge
edge →CAR
52.0%56.0%
53.0%60.0%
2.642.98
2.392.31
2.262.26
1.991.95
1.0030.984

CAR holds 6 of 6 process categories — and the luck row (1.003 vs 0.984) says UTA has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · Last 10
UTA
8-1-1
+15 GD · 1d rest
CAR
7-1-2
+17 GD · 4d rest
1.003
UTA PDO
Luck gauge · drifts to 1.000
0.984
CAR PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Where the edges live
  • The Hurricanes own the underlying play — 56.0% 5v5 xG vs 52.0%.
  • The Hurricanes drive Corsi at 60.0% — expect territorial tilt.
Regression watch
  • The Hurricanes' PDO is 0.984 — running cold, due for positive regression.
Things to watch
  • The Hurricanes own the underlying play — 56.0% 5v5 xG vs 52.0%.
  • The Hurricanes drive Corsi at 60.0% — expect territorial tilt.
  • V. Vanecek is on a back-to-back — watch for a backup start or a tired starter.
  • The Hurricanes' PDO is 0.984 — running cold, due for positive regression.
  • The Hurricanes have 3 more days of rest.
Last game's lineup · confirmed at warm-up

Lineups

NHL box score
UTA
Expected in goal
V. Vanecek
back-to-back.900 last start
Backup Karel Vejmelka · +6.9 GSAx this season
Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

No completed game on file for this club yet.

CAR
Expected in goal
B. Bussi
4 days rest.973 last start
Backup Brandon Bussi · +2.8 GSAx this season

No completed game on file for this club yet.

Lineups are the players who dressed in each club's last game, with their minutes; clubs confirm tonight's at warm-up. Every player this preview names was in that lineup.

Computed danger · scouting

Players to watch

NHL stats API · our xG
UTA
Dylan Guenther28G 15A
1.02 xG/60 · 3 HD · 16.8% sh
Daniil But2G 2A
1.01 xG/60 · 1 HD · 5.6% sh
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
Keep going

Where to next