Backcheck
Recap · BOS at PIT

Penguins run the Bruins off the ice on the underlying numbers

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

By the ModelJul 12, 6:12 AMxG: xgboost-0.758Edited for clarity
Away
BOS
Boston Bruins
4
Home
PIT
Pittsburgh Penguins
5
FINAL / OT
Process vs result

The underlying story

3.09Expected goals5.49
64% share for the better side
28Shot attempts (SOG)40
3High-danger chances8
56Corsi (all attempts)75
Score-adjusted: 39% / 61%
Source · NHL play-by-play · XGBoost xG

Pittsburgh's 5-4 overtime win understates their dominance: they controlled 64% of 5v5 expected goals, turning a massive advantage in shot quality into a narrow victory.

The Penguins generated 40 shot attempts to Boston's 28, but the bigger story was how they shot. Pittsburgh's shots carried 0.073 xG per shot, well above Boston's 0.055—meaning they hunted better looks from better ice. High-danger chances reinforced the gap: 8–3. That quality edge translated to 5.49 expected goals versus 3.09.

Goaltending complicated the narrative. A. Silovs faced 28 shots and finished -0.91 against expected, meaning the Bruins' scoreline inflated his performance: at 0.857 SV%, he underperformed what the expected-goals model would predict for that volume. Meanwhile, J. Korpisalo faced tougher looks and still put up 0.875 SV%—Boston's overperformance (0.91 goals over xG) masked middle-of-the-road puck-stopping.

Both teams were surgical in transition. Pittsburgh scored 4 goals on 40 rush chances; Boston matched that same conversion rate on just 26 rushing chances. Pittsburgh also crashed the net effectively, generating 6 rebound opportunities and converting 1—the kind of offensive recycling that keeps pressure mounting.

The turning point arrived early in overtime: Tommy Novak's snap shot from the high slot at 00:17, a finish that epitomized Pittsburgh's edge in chance quality all night.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
BOS2 / 3 · 0.63 xG
PIT1 / 8 · 1.90 xG
Medium dangermid-range
BOS2 / 16 · 1.88 xG
PIT3 / 23 · 2.91 xG
Low dangerperimeter & point
BOS0 / 37 · 0.57 xG
PIT1 / 44 · 0.69 xG

BOS went 2-for-3 from high danger on 0.63 expected goals — 1.4 above expected.

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

Finishing vs expected

expectedactual
BOS
4 G · 3.09 xG · +0.9
PIT
5 G · 5.49 xG · -0.5
0123456
Goalies · GSAx (goals saved above expected)
J. KorpisaloBOS
+0.5
A. SilovsPIT
-0.9

BOS finished +0.9 against expected, PIT -0.5 — A. Silovs (PIT) allowed 0.9 more goals than expected.

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

Shot diet

goalsshots
BOS
WRIST1/29
TIP IN0/5
SLAP0/3
BACKHAND2/2
SNAP1/1
DEFLECTED0/1
OTHER0/15
PIT
WRIST1/37
TIP IN0/6
SLAP0/4
BACKHAND3/5
SNAP1/5
DEFLECTED0/0
OTHER0/18
BOS
PIT
Off the rush
4 G on 26 · 2.34 xG
4 G on 40 · 3.82 xG
Off rebounds
0 G on 0 · 0.00 xG
1 G on 6 · 1.06 xG

Wrist shots carried the volume: BOS went 1-for-29, PIT 1-for-37. BOS scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
P. Zacha
#18 · C · BOS
3 G · 0 A · 4 SOG · 16:59 TOI
E. Karlsson
#65 · D · PIT
0 G · 2 A · 6 SOG · 24:20 TOI · +1
T. Novak
#18 · C · PIT
1 G · 1 A · 1 SOG · 15:23 TOI · +4
Ranked from the box score — points first · Backcheck
What the model flagged
  • PIT generated far more dangerous chances — 0.073 xG/shot vs 0.055. Quality over quantity.
  • PIT was lethal off the rush — 4 goals on 40 rush chances.
  • BOS was lethal off the rush — 4 goals on 26 rush chances.
  • PIT created 6 rebound opportunities (1 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · BOS at PIT · 4:30 PM ET

The Penguins are the model's lean over the Bruins — with PDO regression in play

By the ModelJul 12, 6:11 AMEdited for clarity
Win probability

The model's lean

55%
PIT
Model favorite
45%
55%
BOS50PIT

PIT by 10 points of win probability — a modest lean. Projected score BOS 2.52.8 PIT; 18% chance it's tied after 60.

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

Tale of the tape

BOS← edge
edge →PIT
47.0%5v5 xG%51.0%
49.0%Corsi%50.0%
2.39xGF / 602.66
2.67xGA / 602.55
2.22Goals for / gm2.45
1.82Goals against / gm2.12
1.023PDO — luck, not skill1.012

PIT holds 5 of 6 process categories — and PDO (1.023 vs 1.012) says BOS has run hotter.

Source · MoneyPuck season tables · 5v5

Pittsburgh enters at 55% win probability in a projected 2.5–2.8 game. The Penguins control the underlying play: 51.0% xG at five-on-five versus Boston's 47.0%, and they've held a slight Corsi% edge (50.0% to 49.0%) across the season.

Boston's issue starts with PDO. At 1.023, the Bruins are running hot compared to Pittsburgh's 1.012—regression is mathematical. Their 13.0% shooting rate compounds this risk; it rests on elite execution from Viktor Arvidsson (18G 24A, 1.04 xG/60, 2 HD goals), a secondary option in Tanner Jeannot (6G at 8.3% shooting, 0.75 xG/60), and team-wide 0% hard-chance and 0% rebound-goal rates that won't hold.

Pittsburgh's production is grounded by comparison. Rickard Rakell (13G 13A, 1.01 xG/60, 12.1% shooting) runs closer to underlying talent; his 3 HD goals reflect more realistic efficiency. Filip Hallander (1.28 xG/60) was flagged as a watch name before undergoing further evaluation following his recall from his conditioning loan.

Both S. Skinner and J. Swayman face back-to-back pressure; expect backup appearances or conservative starts. Boston's defensive liability is Elias Lindholm; Pittsburgh's is Caleb Jones.

The xG% gap and Boston's inevitable PDO regression drive the edge. Lean Pittsburgh at 55%.

Computed danger · scouting

Players to watch

BOS
Viktor Arvidsson18G 24A
1.04 xG/60 · 2 HD · 13.0% sh
Tanner Jeannot6G 14A
0.75 xG/60 · 2 HD · 8.3% sh
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
Source · MoneyPuck skaters