Backcheck
Recap · STL at CAR

J. Binnington stands tall as the Blues edge the Hurricanes

The Blues stole one. They lost the expected-goals battle 2.42–4.55 and won anyway.

By the ModelJul 12, 7:18 AMxG: xgboost-0.758Edited for clarity
Away
STL
St. Louis Blues
3
Home
CAR
Carolina Hurricanes
1
FINAL
Process vs result

The underlying story

2.42Expected goals4.55
65% share for the better side
17Shot attempts (SOG)32
4High-danger chances9
35Corsi (all attempts)59
Score-adjusted: 38% / 62%
Source · NHL play-by-play · XGBoost xG

St. Louis stole this one. Carolina held 65% of expected goals (4.55–2.42) and commanded 65% of shot attempts (32–17), yet lost 3–1. This was a goaltending exhibition masking offensive desperation.

J. Binnington was the margin. He stopped 31 of 32 shots at a 0.969 save percentage, running 3.55 goals above expected — the kind of performance that flips a game Carolina should have won. On high-danger chances, he faced nine shots and stopped them all.

The Hurricanes couldn't finish. They were 0 for 9 on high-danger chances, generating quality looks and converting none. That's a collapsing odds event. St. Louis, by contrast, was ruthless: 2 for 4 on high-danger opportunities (50%). The Blues also found two goals on the rush out of 13 chances, the kind of efficiency that wins games you don't deserve to.

B. Bussi stopped 14 of 16 for Carolina at 0.875, a solid outing in defeat. The gap between the goalies wasn't the problem — the Hurricanes' execution was. Nine high-danger chances and zero conversions represents a level of miss-taking Carolina won't replicate often.

St. Louis made its chances count. That ruthlessness in the high-danger zone, combined with Binnington's wall, turned what looked like a Carolina demolition into a lesson in variance: dominance in expected metrics means nothing without finishing power.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
STL2 / 4 · 1.44 xG
CAR0 / 9 · 2.12 xG
Medium dangermid-range
STL0 / 8 · 0.74 xG
CAR1 / 15 · 1.72 xG
Low dangerperimeter & point
STL1 / 23 · 0.23 xG
CAR0 / 35 · 0.71 xG

CAR went 0-for-9 from high danger on 2.12 expected goals — 2.1 left on the table.

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

Finishing vs expected

expectedactual
STL
3 G · 2.42 xG · +0.6
CAR
1 G · 4.55 xG · -3.5
012345
Goalies · GSAx (goals saved above expected)
J. BinningtonSTL
+3.5
B. BussiCAR
+0.4

STL finished +0.6 against expected, CAR -3.5 — J. Binnington (STL) saved 3.5 goals above expected.

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

Shot diet

goalsshots
STL
SNAP2/15
TIP IN0/1
WRIST1/5
BACKHAND0/0
SLAP0/0
BAT0/1
DEFLECTED0/1
OTHER0/12
CAR
SNAP1/28
TIP IN0/8
WRIST0/2
BACKHAND0/5
SLAP0/5
BAT0/0
DEFLECTED0/0
OTHER0/11
STL
CAR
Off the rush
2 G on 13 · 1.38 xG
1 G on 24 · 2.77 xG
Off rebounds
0 G on 1 · 0.21 xG
0 G on 7 · 1.00 xG

Snap shots carried the volume: STL went 2-for-15, CAR 1-for-28. STL scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
D. Holloway
#81 · L · STL
0 G · 2 A · 2 SOG · 20:55 TOI · +2
J. Snuggerud
#21 · R · STL
2 G · 0 A · 3 SOG · 20:03 TOI · +2
C. Fowler
#17 · D · STL
0 G · 1 A · 0 SOG · 19:58 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • STL stole this one. CAR owned 65% of the xG and lost.
  • J. Binnington (STL) stopped 3.5 goals above expected.
  • CAR couldn't convert — 0/9 on high-danger chances. That won't happen often.
  • STL was clinical in the high-danger zone — 2/4 on HD chances (50%).
  • STL was lethal off the rush — 2 goals on 13 rush chances.
  • CAR created 7 rebound opportunities (0 converted) — crashing the net effectively.
  • CAR underperformed xG by 3.5 — wasted quality chances.
  • J. Binnington (STL) saved 3.5 goals above expected — stole the show.
  • J. Binnington was a wall on HD chances — 100% SV on 9 high-danger shots.
Before the game — the model's pre-game read
Preview · STL at CAR · 7:00 PM ET

The Hurricanes are the model's lean over the Blues — with PDO regression in play

By the ModelJul 12, 6:53 AMEdited for clarity
Win probability

The model's lean

58%
CAR
Model favorite
42%
58%
STL50CAR

CAR by 16 points of win probability — a clear lean. Projected score STL 2.32.8 CAR; 18% chance it's tied after 60.

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

Tale of the tape

STL← edge
edge →CAR
49.0%5v5 xG%56.0%
48.0%Corsi%60.0%
2.34xGF / 602.98
2.40xGA / 602.31
2.00Goals for / gm2.26
2.12Goals against / gm1.95
1.000PDO — luck, not skill0.984

CAR holds 6 of 6 process categories — and PDO (1.000 vs 0.984) says STL has run hotter.

Source · MoneyPuck season tables · 5v5

The projection favors Carolina: 58% win probability, with a model forecast of 2.3–2.8 goals for the Hurricanes in a St. Louis loss. The Blues underperform their underlying play at 5v5, generating a 49.0% expected goals share and 48.0% Corsi while falling short in outcomes. Carolina dominates in both: 56.0% expected goals and 60.0% Corsi at 5v5, reflecting zone control and scoring-chance superiority.

Form and luck split the margin. Carolina's posted 8-2-0 over their last 10, while St. Louis' outcomes haven't tracked its underlying numbers. The Hurricanes' PDO sits at 0.984, running cold and primed for positive regression. St. Louis holds a 1.000 PDO—the team's luck is already spent.

The individual matchups favor Carolina's depth. Jimmy Snuggerud leads the Blues' offensive load at 0.86 expected goals per 60 with 15 goals and 22 assists; his 2 high-danger chances and 11.9% shooting percentage reflect consistent threat level. Dylan Holloway provides secondary production: 0.82 xG/60, 13 goals, 24 assists, 1 high-danger goal, and 10.8% shooting. Carolina counters with Jackson Blake at 1.06 xG/60, outpacing Snuggerud's generation rate. Blake's 14 goals, 19 assists, 2 high-danger goals, and 10.9% shooting sustain the advantage. Seth Jarvis rounds out Carolina's production at 0.98 xG/60, 17 goals, 12 assists, 1 high-danger goal, and an 11.9% shooting percentage.

The underlying math is clear: Carolina controls play, the Hurricanes are due for positive regression, and Blake's xG rate outpaces St. Louis's best. The model's 58% lean is conservative.

Computed danger · scouting

Players to watch

STL
Jimmy Snuggerud15G 22A
0.86 xG/60 · 2 HD · 11.9% sh
Dylan Holloway13G 24A
0.82 xG/60 · 1 HD · 10.8% 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
Source · MoneyPuck skaters