Backcheck
Recap · PIT at PHI

Flyers run the Penguins off the ice on the underlying numbers

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

By the ModelJul 12, 1:31 PMxG: xgboost-0.758Edited for clarity
Away
PIT
Pittsburgh Penguins
2
Home
PHI
Philadelphia Flyers
3
FINAL / OT
Process vs result

The underlying story

2.68Expected goals4.52
63% share for the better side
26Shot attempts (SOG)34
3High-danger chances10
53Corsi (all attempts)64
Score-adjusted: 47% / 53%
Source · NHL play-by-play · XGBoost xG

The Flyers edged the Penguins 3-2 in a shootout. The underlying metrics favored Philadelphia across the board—until A. Silovs stopped 2.52 goals above expected on 0.941 SV%, including 90% of 10 high-danger shots. That's how a team stays competitive against superior underlying metrics.

The Flyers controlled 63% of 5v5 expected goals (4.52–2.68), held 57% of shot attempts (34–26), and generated dangerous looks at a far higher rate (10–3 high-danger chances). They generated superior shot quality at 0.071 expected goals per shot to Pittsburgh's 0.051. They crashed the net effectively, creating 6 rebound opportunities and converting 1; Pittsburgh created 5 and converted none.

Pittsburgh scored 2 goals on 22 rush attempts. The Flyers' S. Ersson was solid (0.923 SV%, +0.68 vs expected) but fell short. Philadelphia underperformed its xG by 1.52 goals despite commanding possession and quality, which meant A. Silovs prevented the rout that the numbers predicted.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
PIT0 / 3 · 0.62 xG
PHI1 / 10 · 2.29 xG
Medium dangermid-range
PIT1 / 12 · 1.47 xG
PHI0 / 16 · 1.64 xG
Low dangerperimeter & point
PIT1 / 38 · 0.59 xG
PHI1 / 38 · 0.60 xG

PHI went 0-for-16 from medium danger on 1.64 expected goals — 1.6 left on the table.

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

Finishing vs expected

expectedactual
PIT
2 G · 2.68 xG · -0.7
PHI
3 G · 4.52 xG · -1.5
012345
Goalies · GSAx (goals saved above expected)
A. SilovsPIT
+2.5
S. ErssonPHI
+0.7

PIT finished -0.7 against expected, PHI -1.5 — A. Silovs (PIT) saved 2.5 goals above expected.

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

Shot diet

goalsshots
PIT
WRIST1/23
SNAP0/3
BACKHAND1/3
SLAP0/6
TIP IN0/2
BAT0/0
DEFLECTED0/0
OTHER0/16
PHI
WRIST1/25
SNAP1/9
BACKHAND0/8
SLAP0/4
TIP IN0/2
BAT0/1
DEFLECTED0/1
OTHER0/14
PIT
PHI
Off the rush
2 G on 22 · 1.76 xG
1 G on 30 · 3.09 xG
Off rebounds
0 G on 5 · 0.77 xG
1 G on 6 · 1.12 xG

Wrist shots carried the volume: PIT went 1-for-23, PHI 1-for-25. PIT scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
B. Brink
#10 · R · PHI
1 G · 1 A · 3 SOG · 17:51 TOI · +1
B. Rust
#17 · R · PIT
0 G · 1 A · 1 SOG · 23:33 TOI · +1
S. Crosby
#87 · C · PIT
1 G · 0 A · 4 SOG · 23:15 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • A. Silovs (PIT) stopped 2.5 goals above expected.
  • PHI generated far more dangerous chances — 0.071 xG/shot vs 0.051. Quality over quantity.
  • PIT was lethal off the rush — 2 goals on 22 rush chances.
  • PHI created 6 rebound opportunities (1 converted) — crashing the net effectively.
  • PIT created 5 rebound opportunities (0 converted) — crashing the net effectively.
  • PHI underperformed xG by 2.5 — wasted quality chances.
  • A. Silovs (PIT) saved 2.5 goals above expected — stole the show.
  • A. Silovs was a wall on HD chances — 90% SV on 10 high-danger shots.
Before the game — the model's pre-game read
Preview · PIT at PHI · 6:00 PM ET

Penguins at Flyers: a genuine coin flip

By the ModelJul 11, 1:24 PMEdited for clarity
Win probability

The model's lean

52%
PHI
Model favorite
48%
52%
PIT50PHI

PHI by 4 points of win probability — effectively a coin flip. Projected score PIT 2.42.5 PHI; 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 →PHI
51.0%5v5 xG%51.0%
50.0%Corsi%48.0%
2.66xGF / 602.26
2.55xGA / 602.20
2.45Goals for / gm1.96
2.12Goals against / gm1.82
1.012PDO — luck, not skill1.008

The season numbers split 33 — no clear process edge — and PDO (1.012 vs 1.008) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

The model sees this as purely even money: 52% Flyers win probability, projected final of 2.4–2.5 goals per side. These teams have traded evenly in the areas that matter.

Both rank identically on expected goals percentage (51.0% xG%), suggesting comparable shot quality generation despite Pittsburgh's edge in possession metrics (Corsi% 50.0% to Philadelphia's 48.0%). The five-on-five underlying numbers land within a fraction of each other—puck luck, measured by PDO, sits at 1.012 for Pittsburgh and 1.008 for Philadelphia, essentially fungible.

Philadelphia's main advantage is tactical: three days of rest to Pittsburgh's one. That margin matters for a team already carrying fatigue. T. Jarry is on a back-to-back; either a backup takes the net or a tired starter does.

On the scoreboard, expect Rickard Rakell to drive Pittsburgh's chances. He carries 1.01 xG per 60 at even strength, and his 13 goals on 12.1% shooting suggests his line is converting at a clip that can't sustain. Philadelphia counters with Owen Tippett (0.88 xG/60, 19 goals at 12.1% shooting) and Christian Dvorak (0.81 xG/60, 12 goals, 11.2% shooting)—both dangerous finishers operating in high-volume offensive roles.

The offensive ceiling looks low for both sides. Pittsburgh has generated 0% of its scoring from high-danger situations and 0% from rebounds—an unsustainable dependency on clean chances. Philadelphia mirrors those numbers, meaning neither team can exploit scrambles or create secondary options at goal.

Defensively, Pittsburgh's weak link is Caleb Jones. Christian Dvorak holds that role for Philadelphia.

This truly is a coin flip: equivalent depth of generating quality chances, matched inefficiency on the bump, separated only by rest and the fragility of streaking shooters who are bound to regress.

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
PHI
Owen Tippett19G 18A
0.88 xG/60 · 2 HD · 12.1% sh
Christian Dvorak12G 21A
0.81 xG/60 · 3 HD · 11.2% sh
Source · MoneyPuck skaters