Backcheck
Recap · PIT at OTT

Senators shut out the Penguins, 4-0

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

By the ModelJul 11, 8:51 PMxG: xgboost-0.758Edited for clarity
Away
PIT
Pittsburgh Penguins
0
Home
OTT
Ottawa Senators
4
FINAL
Process vs result

The underlying story

2.97Expected goals4.01
57% share for the better side
25Shot attempts (SOG)26
4High-danger chances8
56Corsi (all attempts)51
Score-adjusted: 59% / 42%
Source · NHL play-by-play · XGBoost xG

The scoreboard suggests a blowout, but Pittsburgh's underlying numbers suggest something closer. The Penguins generated 2.97 expected goals—competitive against Ottawa's 4.01—but L. Ullmark saved 3.0 above expected, turning a potentially tight game into a rout.

The Senators' control was real: 4.01 xG on 0.079 xG per shot versus Pittsburgh's 0.053. Shot attempts nearly split (26–25 for Ottawa), but high-danger chances didn't: 8–4, Ottawa. The quality gap was the real dominance.

Ottawa's execution sealed it. They scored four goals on 24 rush attempts. Pittsburgh created four rebound opportunities and converted zero. The difference between a 4-0 loss and a 1-goal game was Ottawa's pace play and Ullmark's save advantage.

A. Silovs finished with 22 saves on 26 shots (0.846 SV%).

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
PIT0 / 4 · 0.89 xG
OTT2 / 8 · 2.24 xG
Medium dangermid-range
PIT0 / 14 · 1.55 xG
OTT1 / 13 · 1.38 xG
Low dangerperimeter & point
PIT0 / 38 · 0.52 xG
OTT1 / 30 · 0.39 xG

PIT went 0-for-14 from medium danger on 1.55 expected goals — 1.6 left on the table.

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

Finishing vs expected

expectedactual
PIT
0 G · 2.97 xG · -3.0
OTT
4 G · 4.01 xG · -0.0
012345
Goalies · GSAx (goals saved above expected)
A. SilovsPIT
+0.0
L. UllmarkOTT
+3.0

PIT finished -3.0 against expected, OTT -0.0 — L. Ullmark (OTT) saved 3.0 goals above expected.

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

Shot diet

goalsshots
PIT
WRIST0/17
TIP IN0/11
SNAP0/6
BACKHAND0/2
SLAP0/2
WRAP AROUND0/4
DEFLECTED0/1
OTHER0/13
OTT
WRIST3/24
TIP IN0/1
SNAP0/2
BACKHAND0/5
SLAP0/5
WRAP AROUND0/0
DEFLECTED1/1
OTHER0/13
PIT
OTT
Off the rush
0 G on 28 · 2.23 xG
4 G on 24 · 2.89 xG
Off rebounds
0 G on 2 · 0.20 xG
0 G on 4 · 0.59 xG

Wrist shots carried the volume: PIT went 0-for-17, OTT 3-for-24. OTT scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
D. Batherson
#19 · R · OTT
0 G · 2 A · 1 SOG · 17:36 TOI · +1
B. Tkachuk
#7 · L · OTT
2 G · 0 A · 5 SOG · 17:02 TOI · +1
T. Stützle
#18 · C · OTT
0 G · 1 A · 2 SOG · 19:26 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • L. Ullmark (OTT) stopped 3.0 goals above expected.
  • OTT generated far more dangerous chances — 0.079 xG/shot vs 0.053. Quality over quantity.
  • OTT was lethal off the rush — 4 goals on 24 rush chances.
  • OTT created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • PIT underperformed xG by 3.0 — wasted quality chances.
  • L. Ullmark (OTT) saved 3.0 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · PIT at OTT · 7:00 PM ET

The Senators are the model's lean over the Penguins on the underlying numbers

By the ModelJul 11, 8:50 PMEdited for clarity
Win probability

The model's lean

56%
OTT
Model favorite
44%
56%
PIT50OTT

OTT by 12 points of win probability — a modest lean. Projected score PIT 2.42.7 OTT; 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 →OTT
51.0%5v5 xG%56.0%
50.0%Corsi%53.0%
2.66xGF / 602.66
2.55xGA / 602.12
2.45Goals for / gm2.18
2.12Goals against / gm1.99
1.012PDO — luck, not skill0.993

OTT holds 5 of 6 process categories — and PDO (1.012 vs 0.993) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.4–2.7 goal Pittsburgh loss to Ottawa, favoring the Senators at 56% win probability—a statistical lean backed by concrete possession edges.

Ottawa controls the volume of chances. The Senators generate 56.0% of 5v5 expected goals compared to Pittsburgh's 51.0%, a four-point gap that reflects sustained offensive pressure. The territorial tilt deepens in Corsi: Ottawa drives 53.0% of unblocked shot attempts to Pittsburgh's 50.0%, suggesting the Penguins will spend the night defending the perimeter.

The only asterisk favors Pittsburgh. The Penguins' PDO sits at 1.012, above the even mark, while Ottawa's 0.993 runs cold. Luck normalizes; regression cuts both ways.

For Pittsburgh, the challenge centers on Filip Hallander's absence. Hallander was generating 1.28 expected goals per 60 minutes but is out for evaluation following his AHL recall. This removes a driver of offensive pace. Rickard Rakell assumes primary responsibility. At 1.01 xG/60 with 13 goals and a 12.1% shooting rate, Rakell must generate without Hallander's volume. He has three high-danger goals.

Ottawa counters with Brady Tkachuk and Dylan Cozens. Tkachuk operates at 1.19 xG/60, producing 11 goals and 20 assists with a 7.5% shot conversion—sustainable and efficient. Cozens matches Rakell's production floor at 1.00 xG/60 but sits at 13 goals on 9.5% shooting, a mark that leaves room for regression. Tkachuk's two high-danger goals suggest a player finishing at or above true talent.

Both teams present the same scoring inefficiency: zero high-danger and zero rebound goals. This is unlikely to hold. Whichever team normalizes its conversion first gains a margin.

Pittsburgh's structural vulnerability emerges on the back end. Caleb Jones carries the defensive burden. Ottawa's soft spot is Nick Jensen. The Senators' 53.0% Corsi advantage suggests these weak links will see sustained offensive traffic.

The model's lean is rational. Ottawa's possession and chance advantage compound; Pittsburgh enters depleted and trailing in territory. The Penguins' PDO masks a narrower true talent gap, and that gap closes faster without Hallander.

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
OTT
Brady Tkachuk11G 20A
1.19 xG/60 · 2 HD · 7.5% sh
Dylan Cozens13G 15A
1.00 xG/60 · 1 HD · 9.5% sh
Source · MoneyPuck skaters