Backcheck
Recap · PIT at WPG

Jets pull away from the Penguins

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

By the ModelJul 11, 2:08 PMxG: xgboost-0.758Edited for clarity
Away
PIT
Pittsburgh Penguins
2
Home
WPG
Winnipeg Jets
5
FINAL
Process vs result

The underlying story

3.18Expected goals4.52
59% share for the better side
30Shot attempts (SOG)34
4High-danger chances4
60Corsi (all attempts)63
Score-adjusted: 56% / 44%
Source · NHL play-by-play · XGBoost xG

Despite a 5-2 scoreline, the Jets and Penguins generated identical high-danger chances (4–4), yet Winnipeg converted at a far higher rate in close. The underlying 59–41 expected-goals split (4.52–3.18) favored the Jets, but the high-danger tie revealed the real battle: not shot volume, but execution and goaltending.

The Jets controlled 53% of shot attempts (34–30). Their rush game was devastating—three goals on 27 chances. Winnipeg's shot quality advantage (0.072 xG per attempt versus Pittsburgh's 0.053) showed in all zones. The Jets were clinical on high-danger chances at 2-of-4, despite matching Pittsburgh's 4 chances.

E. Comrie (WPG) decided this game. He finished 28-of-30 with a 0.933 SV% and stopped 1.18 goals above expected. A. Silovs (PIT) was strong at 0.879 SV% with a +0.52 mark, but couldn't match Comrie's brilliance when it mattered.

Kyle Connor delivered the turning point with a wrist shot from the point at 18:39, finishing with two goals in 18:37. M. Scheifele chipped in two assists in 17:47, while G. Vilardi added a goal and an assist in 16:42.

The Penguins weren't out-shot or out-chanced. They were outexecuted. It's the most telling kind of loss—not a dominant defeat, but a close game lost on margins.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
PIT1 / 4 · 0.82 xG
WPG2 / 4 · 1.42 xG
Medium dangermid-range
PIT1 / 19 · 1.89 xG
WPG3 / 23 · 2.56 xG
Low dangerperimeter & point
PIT0 / 37 · 0.46 xG
WPG0 / 36 · 0.54 xG

PIT went 1-for-19 from medium danger on 1.89 expected goals — 0.9 left on the table.

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

Finishing vs expected

expectedactual
PIT
2 G · 3.18 xG · -1.2
WPG
5 G · 4.52 xG · +0.5
0123456
Goalies · GSAx (goals saved above expected)
A. SilovsPIT
+0.5
E. ComrieWPG
+1.2

PIT finished -1.2 against expected, WPG +0.5 — E. Comrie (WPG) saved 1.2 goals above expected.

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

Shot diet

goalsshots
PIT
WRIST1/31
SLAP0/4
BACKHAND0/3
TIP IN0/2
POKE0/1
DEFLECTED1/2
WRAP AROUND0/1
SNAP0/0
OTHER0/16
WPG
WRIST2/27
SLAP0/9
BACKHAND1/5
TIP IN1/3
POKE0/2
DEFLECTED0/0
WRAP AROUND0/0
SNAP1/1
OTHER0/16
PIT
WPG
Off the rush
2 G on 29 · 2.32 xG
3 G on 27 · 2.47 xG
Off rebounds
0 G on 4 · 0.56 xG
0 G on 5 · 0.72 xG

Wrist shots carried the volume: PIT went 1-for-31, WPG 2-for-27. WPG scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
K. Connor
#81 · L · WPG
2 G · 0 A · 8 SOG · 18:37 TOI · +2
M. Scheifele
#55 · C · WPG
0 G · 2 A · 1 SOG · 17:47 TOI · +1
G. Vilardi
#13 · C · WPG
1 G · 1 A · 3 SOG · 16:42 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • E. Comrie (WPG) stopped 1.2 goals above expected.
  • WPG generated far more dangerous chances — 0.072 xG/shot vs 0.053. Quality over quantity.
  • WPG was clinical in the high-danger zone — 2/4 on HD chances (50%).
  • WPG was lethal off the rush — 3 goals on 27 rush chances.
  • PIT was lethal off the rush — 2 goals on 29 rush chances.
  • WPG created 5 rebound opportunities (0 converted) — crashing the net effectively.
  • PIT created 4 rebound opportunities (0 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · PIT at WPG · 3:00 PM ET

Penguins at Jets: a genuine coin flip

By the ModelJul 11, 2:06 PMEdited for clarity
Win probability

The model's lean

51%
PIT
Model favorite
51%
49%
PIT50WPG

PIT by 2 points of win probability — effectively a coin flip. Projected score PIT 2.62.6 WPG; 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 →WPG
51.0%5v5 xG%48.0%
50.0%Corsi%49.0%
2.66xGF / 602.34
2.55xGA / 602.55
2.45Goals for / gm1.90
2.12Goals against / gm2.10
1.012PDO — luck, not skill0.998

PIT holds 5 of 6 process categories — and PDO (1.012 vs 0.998) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

Pittsburgh and Winnipeg are indistinguishable on paper — the model gives the Penguins 51% win probability in what amounts to a dead heat. The only meaningful difference is that the Penguins own the underlying play.

Pittsburgh's 51.0% 5v5 expected goals share against Winnipeg's 48.0% represents a marginal edge that's their entire advantage. Their Corsi sits at 50.0% to Winnipeg's 49.0%, confirming they control possession and generate scoring chances slightly more often. Pittsburgh's PDO of 1.012 suggests they've gotten lucky with bounces; Winnipeg's 0.998 suggests the inverse — both are due for regression.

The goaltending matchup adds uncertainty. Both C. Hellebuyck and T. Jarry are on back-to-backs, which could mean tired starters or substitutions. In a game this close, that uncertainty matters.

Rickard Rakell is Pittsburgh's critical forward. He has 13 goals on 12.1% shooting with 1.01 xG per 60, pairing volume with efficiency; his three high-danger goals show he scores from the areas that count. Winnipeg's Kyle Connor counters with 25 goals and 30 assists at 13.0% shooting. At 0.83 xG per 60, his production comes from a diverse range of ice and situations — 25 goals without extreme danger concentration reflects a complete scorer. Nino Niederreiter adds secondary scoring at 0.87 xG per 60 with six goals and six assists, including three high-danger goals.

Caleb Jones is Pittsburgh's defensive weak point; Colin Miller plays that role for Winnipeg. Neither team generates scoring from high-danger situations — both stand at 0% HD goal rate and 0% rebound goal rate — meaning both have relied on secondary scoring and goaltending rather than front-of-net dominance.

This game swings on a power play, a goal-mouth bounce, or a line matchup hidden from box-score readers. The model's 51% edge for Pittsburgh isn't confidence — it's nearly a shrug. Expect a tight, low-event game where one team converts marginally better.

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
WPG
Nino Niederreiter6G 6A
0.87 xG/60 · 3 HD · 8.6% sh
Kyle Connor25G 30A
0.83 xG/60 · 2 HD · 13.0% sh
Source · MoneyPuck skaters