Backcheck
Recap · MTL at PIT

Penguins edge the Canadiens in a shootout

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

By the ModelJul 11, 9:43 PMxG: xgboost-0.758Edited for clarity
Away
MTL
Montreal Canadiens
3
Home
PIT
Pittsburgh Penguins
4
FINAL / OT
Process vs result

The underlying story

3.61Expected goals4.68
56% share for the better side
25Shot attempts (SOG)31
6High-danger chances8
55Corsi (all attempts)75
Score-adjusted: 44% / 56%
Source · NHL play-by-play · XGBoost xG

The Penguins won 4-3 in a shootout, surviving Montreal's goaltending masterclass. J. Dobes stopped 28 of 31 shots with a 0.903 SV% and overperformed by 1.68 goals—he nearly stole a game Pittsburgh was built to dominate.

And dominate they did. Pittsburgh controlled 56% of expected goals (4.68–3.61), held 55% of shot attempts (31–25 on goal), and led 8-6 in high-danger chances. By every underlying metric, this should have been a regulation victory. Instead, Dobes kept Montreal alive, turning the contest into a shootout battle that could've gone either way.

Pittsburgh's relentlessness showed on the rush: 2 goals on 27 chances, a conversion rate that, while matched by Montreal's own 2 goals on 27 opportunities, came from a superior position. The Penguins crashed the net effectively, creating 6 rebound chances that somehow stayed out. A. Silovs, Pittsburgh's goaltender, stopped 22 of 25 shots (0.880 SV%, +0.61 vs expected), performing capably but not dramatically.

The irony: Pittsburgh underperformed their 4.68 expected goals by 1.7, meaning they wasted elite chances across regulation. Montreal, conversely, got carried by Dobes's brilliance. Then in the shootout, Rickard Rakell's backhander from the doorstep ended it—a punctuation mark on Pittsburgh's dominance.

This win feels both inevitable and fortunate: inevitable because Pittsburgh's metrics were clearly superior, fortunate because one goaltender's performance nearly altered the outcome. In a game where the expected-goal share so heavily favored one team, the shootout felt like Montreal stealing a point they didn't earn.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MTL1 / 6 · 1.58 xG
PIT1 / 8 · 2.07 xG
Medium dangermid-range
MTL1 / 15 · 1.57 xG
PIT2 / 18 · 2.01 xG
Low dangerperimeter & point
MTL1 / 34 · 0.46 xG
PIT0 / 49 · 0.59 xG

PIT went 1-for-8 from high danger on 2.07 expected goals — 1.1 left on the table.

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

Finishing vs expected

expectedactual
MTL
3 G · 3.61 xG · -0.6
PIT
4 G · 4.68 xG · -0.7
012345
Goalies · GSAx (goals saved above expected)
J. DobesMTL
+1.7
A. SilovsPIT
+0.6

MTL finished -0.6 against expected, PIT -0.7 — J. Dobes (MTL) saved 1.7 goals above expected.

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

Shot diet

goalsshots
MTL
WRIST2/29
SLAP0/7
TIP IN0/2
SNAP0/1
BACKHAND1/2
POKE0/0
OTHER0/14
PIT
WRIST3/30
SLAP0/5
TIP IN0/6
SNAP0/5
BACKHAND0/4
POKE0/1
OTHER0/24
MTL
PIT
Off the rush
2 G on 27 · 2.96 xG
2 G on 27 · 2.43 xG
Off rebounds
0 G on 1 · 0.02 xG
0 G on 6 · 0.86 xG

Wrist shots carried the volume: MTL went 2-for-29, PIT 3-for-30. MTL scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
R. Rakell
#67 · R · PIT
1 G · 1 A · 4 SOG · 21:44 TOI · +1
J. Slafkovský
#20 · L · MTL
0 G · 2 A · 0 SOG · 21:13 TOI · +2
S. Crosby
#87 · C · PIT
1 G · 1 A · 2 SOG · 20:53 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • J. Dobes (MTL) stopped 1.7 goals above expected.
  • PIT was lethal off the rush — 2 goals on 27 rush chances.
  • MTL was lethal off the rush — 2 goals on 27 rush chances.
  • PIT created 6 rebound opportunities (0 converted) — crashing the net effectively.
  • PIT underperformed xG by 1.7 — wasted quality chances.
  • J. Dobes (MTL) saved 1.7 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · MTL at PIT · 7:00 PM ET

Canadiens at Penguins: a genuine coin flip

By the ModelJul 11, 9:25 PMEdited for clarity
Win probability

The model's lean

55%
PIT
Model favorite
45%
55%
MTL50PIT

PIT by 10 points of win probability — a modest lean. Projected score MTL 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

MTL← edge
edge →PIT
48.0%5v5 xG%51.0%
49.0%Corsi%50.0%
2.41xGF / 602.66
2.62xGA / 602.55
2.24Goals for / gm2.45
1.96Goals against / gm2.12
1.018PDO — luck, not skill1.012

PIT holds 5 of 6 process categories — and PDO (1.018 vs 1.012) says MTL has run hotter.

Source · MoneyPuck season tables · 5v5

The models can barely separate these teams. The Penguins project to win this game 2.5 to 2.8 goals with a 55% probability — about as close to a pick'em as Vegas will offer. Neither team has built an obvious edge.

Pittsburgh owns the underlying play. The Penguins are generating 51.0% of expected goals at 5v5 against Montreal's 48.0%, and their Corsi advantage (50.0% to 49.0%) is real. Yet the Penguins have stumbled lately, sitting at -12 goal differential over their last 10 games. Montreal, meanwhile, is riding an unsustainable PDO of 1.018 — they're converting at rates that won't hold. Regression is coming, and it could arrive tonight.

Montreal's offensive punch runs through Cole Caufield (33 goals, 0.97 xG/60, 20.0% shooting) and Oliver Kapanen (19 goals, 0.83 xG/60, 17.8% shooting). Pittsburgh's Caleb Jones is the defensive weak link.

Pittsburgh counters with Rickard Rakell (1.01 xG/60, 13 goals, 12.1% shooting). Filip Hallander, who leads the team in xG/60 at 1.28, is unlikely to play due to an ongoing injury evaluation, removing Pittsburgh's most dangerous underlying scorer. Montreal's Mike Matheson is the defensive liability on its backend.

Both teams are producing volume in hard chances and rebounds at 0% conversion rates. When volume doesn't convert, slumps follow quickly. This is the kind of tight matchup where goaltending and marginal execution matter most. Pittsburgh's 55% projection offers barely more than a coin flip's advantage.

Computed danger · scouting

Players to watch

MTL
Cole Caufield33G 16A
0.97 xG/60 · 1 HD · 20.0% sh
Oliver Kapanen19G 12A
0.83 xG/60 · 4 HD · 17.8% 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