Backcheck
Recap · PIT at STL

Blues run the Penguins off the ice on the underlying numbers

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

By the ModelJul 12, 11:51 AMxG: xgboost-0.758Edited for clarity
Away
PIT
Pittsburgh Penguins
5
Home
STL
St. Louis Blues
7
FINAL
Process vs result

The underlying story

2.42Expected goals4.49
65% share for the better side
23Shot attempts (SOG)31
2High-danger chances7
50Corsi (all attempts)54
Score-adjusted: 47% / 53%
Source · NHL play-by-play · XGBoost xG

St. Louis beat Pittsburgh 7–5, and nearly every underlying metric said they deserved it—except for one: both teams vastly overperformed their expected goals. The Blues exceeded theirs by 2.51 goals; the Penguins by 2.58. That's an indication the game included outsized variance despite the Blues' firm 65% control of five-on-five expected goals (4.49–2.42).

The real separation came in shot quality, not volume. The Blues held 57% of shot attempts (31–23) and created 7 high-danger chances to Pittsburgh's 2. They buried 4 of 7 (57%) around the net.

Dylan Holloway's wrist shot from the high slot in the third period was the turning point, one of his two goals in 19:02 of ice time. J. Snuggerud matched that with 2G, 2A in 16:40; L. Mailloux added 1G, 1A in 21:27. St. Louis went 5-for-29 on the rush while Pittsburgh managed 3-for-26, but the Blues' net-front work—4 rebound opportunities with 2 conversions—separated the teams.

Goalies revealed the game's fragility. J. Binnington allowed 2.58 more goals than expected against a 0.783 save percentage—a crater that should have sunk St. Louis. Instead, the Blues' offensive overperformance (2.51 goals above xG) masked the damage. Pittsburgh, despite overperforming their 2.42 xG by 2.58 goals, simply didn't generate the volume to matter.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
PIT1 / 2 · 0.54 xG
STL4 / 7 · 2.10 xG
Medium dangermid-range
PIT3 / 11 · 1.28 xG
STL2 / 18 · 1.87 xG
Low dangerperimeter & point
PIT1 / 37 · 0.60 xG
STL1 / 29 · 0.51 xG

STL went 4-for-7 from high danger on 2.10 expected goals — 1.9 above expected.

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

Finishing vs expected

expectedactual
PIT
5 G · 2.42 xG · +2.6
STL
7 G · 4.49 xG · +2.5
012345678
Goalies · GSAx (goals saved above expected)
A. SilovsPIT
-0.7
S. SkinnerPIT
-0.9
J. BinningtonSTL
-2.6

PIT finished +2.6 against expected, STL +2.5 — J. Binnington (STL) allowed 2.6 more goals than expected.

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

Shot diet

goalsshots
PIT
WRIST5/25
SNAP0/4
SLAP0/3
TIP IN0/2
BACKHAND0/1
OTHER0/15
STL
WRIST4/20
SNAP3/13
SLAP0/7
TIP IN0/4
BACKHAND0/0
OTHER0/10
PIT
STL
Off the rush
3 G on 26 · 2.05 xG
5 G on 29 · 3.13 xG
Off rebounds
1 G on 2 · 0.08 xG
2 G on 4 · 1.05 xG

Wrist shots carried the volume: PIT went 5-for-25, STL 4-for-20. STL scored 5 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
J. Snuggerud
#21 · R · STL
2 G · 2 A · 3 SOG · 16:40 TOI · +2
D. Holloway
#81 · L · STL
2 G · 1 A · 5 SOG · 19:02 TOI · +2
L. Mailloux
#23 · D · STL
1 G · 1 A · 4 SOG · 21:27 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • J. Binnington (STL) gave up 2.6 goals more than expected — well below their workload.
  • STL generated far more dangerous chances — 0.083 xG/shot vs 0.048. Quality over quantity.
  • STL was clinical in the high-danger zone — 4/7 on HD chances (57%).
  • STL was lethal off the rush — 5 goals on 29 rush chances.
  • PIT was lethal off the rush — 3 goals on 26 rush chances.
  • STL created 4 rebound opportunities (2 converted) — crashing the net effectively.
  • STL outperformed their expected goals by 2.5 — elite finishing or lucky bounces.
  • PIT outperformed their expected goals by 2.6 — elite finishing or lucky bounces.
  • A. Silovs (PIT) saved 2.5 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · PIT at STL · 9:30 PM ET

Penguins at Blues: a genuine coin flip

By the ModelJul 12, 11:48 AMEdited for clarity
Win probability

The model's lean

50%
STL
Model favorite
50%
50%
PIT50STL

STL by 0 points of win probability — effectively a coin flip. Projected score PIT 2.52.6 STL; 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 →STL
51.0%5v5 xG%49.0%
50.0%Corsi%48.0%
2.66xGF / 602.34
2.55xGA / 602.40
2.45Goals for / gm2.00
2.12Goals against / gm2.12
1.012PDO — luck, not skill1.000

PIT holds 4 of 6 process categories — and PDO (1.012 vs 1.000) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

This is a pick'em. The model projects a 2.5–2.6 goal game with the Blues at 50% win probability—as close to even-money as the numbers get.

The underlying metrics confirm it. Pittsburgh owns a 51.0% expected-goal share at 5-on-5 against St. Louis's 49.0%, a margin too narrow to signal control. Corsi rates diverge slightly more at 50.0% for Pittsburgh and 48.0% for St. Louis, but that gap barely registers. The only material difference is PDO: Pittsburgh's 1.012 exceeds St. Louis's 1.000, a sign the Penguins have enjoyed modest puck luck.

Players to Watch

Pittsburgh

  • Filip Hallander — 1.28 xG/60, 0G 3A (likely unavailable; undergoing further evaluation)
  • Rickard Rakell — 1.01 xG/60, 13G 13A, 3 HD goals, 12.1% shooting

St. Louis

  • Jimmy Snuggerud — 0.86 xG/60, 15G 22A, 2 HD goals, 11.9% shooting
  • Dylan Holloway — 0.82 xG/60, 13G 24A, 1 HD goal, 10.8% shooting

Rakell's 12.1% shooting rate isn't luck—he owns 3 high-danger goals behind it. For St. Louis, Snuggerud (15 goals on 0.86 xG/60) and Holloway (13 goals on 0.82 xG/60) both shoot well above model, evidence of genuine finish. Hallander's unavailability removes one of Pittsburgh's highest-volume offensive generators.

Both teams carry defensive liabilities. Caleb Jones for Pittsburgh and Jimmy Snuggerud for St. Louis represent the softest targets—which is notable since Snuggerud simultaneously functions as one of St. Louis's most dangerous forwards.

Two evenly matched teams on paper. The shot volume and expected-goal rates refuse to separate them. Offensive depth doesn't tip it either. What decides this game is goaltending—the one variable the pregame models cannot predict. Net play breaks the tie.

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
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
Source · MoneyPuck skaters