Backcheck
Recap · PIT at ANA

Ducks hold off the Penguins

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

By the ModelJun 16, 2:45 PMxG: xgboost-0.758Edited for clarity
Away
PIT
Pittsburgh Penguins
3
Home
ANA
Anaheim Ducks
4
FINAL
Process vs result

The underlying story

2.79Expected goals3.26
54% share for the better side
25Shot attempts (SOG)22
3High-danger chances3
53Corsi (all attempts)69
Score-adjusted: 42% / 58%
Source · NHL play-by-play · XGBoost xG

Anaheim won 4-3, but the margin was narrow despite commanding the chances. The Ducks overperformed their expected goals by 0.74 — they scored more than the quality of their shot creation warranted — while Pittsburgh's goaltending missed by that same margin in the opposite direction.

The underlying play was a genuine coin flip, just not in obvious ways. Shot attempts favored Pittsburgh (47% for Anaheim), but expected goals swung sharply the other way: 3.26–2.79, a 54–46 split in Anaheim's favor. This separation of volume and quality is where teams live or die. The Ducks generated better chances despite being outworked on attempts.

Anaheim's finishing told the story. Two goals came from low-danger spots — the kind that demand goaltender execution. L. Dostal (ANA) supplied it, stopping 22 of 25 for 0.880, while T. Jarry (PIT) managed 18 of 22 at 0.818, underperforming expectation by 0.74 goals. The high-danger chances split evenly at three apiece, but conversion made the difference.

Both teams were lethal in transition. Anaheim scored three goals on 29 rush chances; Pittsburgh matched them at three on 27. But Anaheim's power play was the deciding factor: two goals on 20 shots, a 1.67 expected-goal rate that materialized. That advantage sealed the result.

In the third period at 18:33, C. Kreider converted from the slot. S. Crosby's two assists and R. Shea's two helpers weren't enough.

Three Stars

  • #20 C. Kreider — 2G, 1A in 15:13
  • #5 R. Shea — 2A in 20:13
  • #87 S. Crosby — 2A in 17:11
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
PIT0 / 3 · 0.68 xG
ANA0 / 3 · 0.68 xG
Medium dangermid-range
PIT3 / 15 · 1.57 xG
ANA2 / 19 · 2.01 xG
Low dangerperimeter & point
PIT0 / 35 · 0.54 xG
ANA2 / 47 · 0.57 xG

ANA went 2-for-47 from low danger on 0.57 expected goals — 1.4 above expected.

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

Finishing vs expected

expectedactual
PIT
3 G · 2.79 xG · +0.2
ANA
4 G · 3.26 xG · +0.7
012345
Goalies · GSAx (goals saved above expected)
T. JarryPIT
-0.7
L. DostalANA
-0.2

PIT finished +0.2 against expected, ANA +0.7 — T. Jarry (PIT) allowed 0.7 more goals than expected.

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

Shot diet

goalsshots
PIT
WRIST1/13
SNAP0/6
TIP IN2/9
SLAP0/3
BACKHAND0/5
DEFLECTED0/0
BAT0/0
OTHER0/17
ANA
WRIST0/13
SNAP1/11
TIP IN1/4
SLAP2/9
BACKHAND0/3
DEFLECTED0/2
BAT0/1
OTHER0/26
PIT
ANA
Off the rush
3 G on 27 · 2.19 xG
3 G on 29 · 2.20 xG
Off rebounds
0 G on 1 · 0.24 xG
0 G on 2 · 0.46 xG

Wrist shots carried the volume: PIT went 1-for-13, ANA 0-for-13. PIT scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
C. Kreider
#20 · L ·
2 G · 1 A · 4 SOG · 15:13 TOI · -2
R. Shea
#5 · D ·
0 G · 2 A · 2 SOG · 20:13 TOI · +2
S. Crosby
#87 · C ·
0 G · 2 A · 3 SOG · 17:11 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • ANA scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • ANA was lethal off the rush — 3 goals on 29 rush chances.
  • PIT was lethal off the rush — 3 goals on 27 rush chances.
  • ANA power play was dominant — 2 PPG on 20 PP shots (1.67 xG).
Before the game — the model's pre-game read
Preview · PIT at ANA · 10:30 PM ET

Penguins at Ducks: a genuine coin flip

By the ModelJun 16, 2:42 PMEdited for clarity
Win probability

The model's lean

53%
ANA
Model favorite
47%
53%
PIT50ANA

ANA by 6 points of win probability — a modest lean. Projected score PIT 2.62.8 ANA; 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 →ANA
51.0%5v5 xG%52.0%
50.0%Corsi%52.0%
2.66xGF / 602.80
2.55xGA / 602.59
2.45Goals for / gm2.09
2.12Goals against / gm2.32
1.012PDO — luck, not skill0.981

The season numbers split 33 — no clear process edge — and PDO (1.012 vs 0.981) says PIT has run hotter.

Source · MoneyPuck season tables · 5v5

The analytics model projects a 2.6–2.8 goal margin favoring Anaheim, which translates to a 53% win probability for the Ducks. This is as close to a pure pick'em as the data permits.

The underlying metrics explain the tight margin. Both teams grade out nearly identically in the measurables: Anaheim edges Pittsburgh 52.0% to 51.0% in expected goals share, and holds the same 52.0% to 50.0% advantage in shot volume. The difference is negligible—a flip of the coin whether either team sustains these rates tonight.

Where the teams diverge is in puck luck. Anaheim is running at a 0.981 PDO, indicating they're converting at a below-average rate. That gap represents actual goals left on the table: the Ducks are due for positive regression. Pittsburgh sits at 1.012, meaning their results are tracking closer to their underlying performance.

The player matchups tilt slightly in Anaheim's favor. Beckett Sennecke has emerged as a genuine 20-goal scorer (20G 19A) who generates 1.03 expected goals per 60 minutes with eight high-danger chances. That's consistent high-volume, high-quality shot creation. Cutter Gauthier backs him up with 25 goals and 16 assists, generating 0.99 xG/60 on a 12.9% shooting rate, a pairing that demands respect. Pittsburgh counters with Rickard Rakell, who has delivered 13 goals and 13 assists on 1.01 xG/60 while hitting at 12.1%—sustainable enough, though Rakell's three high-danger goals suggest he's been finishing his chances. Filip Hallander has generated remarkable volume (1.28 xG/60) but remains goalless on the season with just three assists, a sign of regression at the shot-creation end. His status for tonight is also unclear after a recent conditioning loan.

The defensive matchups matter less here because neither team is crisp with their finishing. Both clubs sit at 0% for high-danger goal rate and 0% for rebound goals, a shared constraint that limits scoring upside. Caleb Jones is the identified weak link on Pittsburgh's backend, while Mason McTavish performs that role for Anaheim.

That leaves the regression angle as the tilting factor. Anaheim's cold PDO (0.981) is the game's single most predictive detail: the Ducks are statistically overdue to improve their conversion efficiency. Whether that improvement arrives tonight is unknowable. But in a game otherwise balanced between two technically even teams, that slight advantage is enough to make Anaheim the subtle lean.

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
ANA
Beckett Sennecke20G 19A
1.03 xG/60 · 8 HD · 13.5% sh
Cutter Gauthier25G 16A
0.99 xG/60 · 2 HD · 12.9% sh
Source · MoneyPuck skaters