Backcheck
Recap · SJS at ANA

Ducks run the Sharks off the ice on the underlying numbers

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

By the ModelJul 12, 11:08 AMxG: xgboost-0.758Edited for clarity
Away
SJS
San Jose Sharks
1
Home
ANA
Anaheim Ducks
6
FINAL
Process vs result

The underlying story

1.79Expected goals3.34
65% share for the better side
19Shot attempts (SOG)30
3High-danger chances3
54Corsi (all attempts)51
Score-adjusted: 59% / 41%
Source · NHL play-by-play · XGBoost xG

Anaheim didn't just win — they demolished San Jose 6-1 because they finished at an elite level. The Ducks overperformed their expected goals by 2.66, meaning they converted chances with precision the raw xG numbers underestimated.

The underlying metrics told the story. Anaheim controlled 65% of 5v5 expected goals (3.34–1.79) and 61% of shot attempts (30–19). High-danger chances split evenly at 3–3, but Anaheim's quality edge was stark: they generated 0.066 xG per shot versus San Jose's 0.033, making each opportunity count twice as efficiently.

L. Dostal's performance at the other end amplified the gap. He stopped 18 of 19 (0.947 SV%), outperforming his expected save percentage by 0.79 goals. Y. Askarov faced 24 shots and posted a 0.800 SV%, allowing 2.66 more goals than expected—a workload that exposed the gulf between the teams.

The Ducks punished San Jose's mistakes methodically. They scored twice from low-danger areas where a goaltender should hold firm. On the rush, they finished 4 goals on 28 chances—efficiency that compounds across a game. The power play added a dimension: Anaheim scored twice on seven PP shots, banking 0.61 xG on just those seven attempts.

Frank Vatrano's backhander from the doorstep (P3, 17:32) captured the game's trajectory—a team seizing what the superior metrics promised.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SJS0 / 3 · 0.79 xG
ANA2 / 3 · 0.66 xG
Medium dangermid-range
SJS0 / 4 · 0.35 xG
ANA2 / 18 · 2.08 xG
Low dangerperimeter & point
SJS1 / 47 · 0.64 xG
ANA2 / 30 · 0.61 xG

ANA went 2-for-30 from low danger on 0.61 expected goals — 1.4 above expected.

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

Finishing vs expected

expectedactual
SJS
1 G · 1.79 xG · -0.8
ANA
6 G · 3.34 xG · +2.7
01234567
Goalies · GSAx (goals saved above expected)
Y. AskarovSJS
-2.7
L. DostalANA
+0.8

SJS finished -0.8 against expected, ANA +2.7 — Y. Askarov (SJS) allowed 2.7 more goals than expected.

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

Shot diet

goalsshots
SJS
SNAP1/17
SLAP0/8
WRIST0/4
BACKHAND0/1
TIP IN0/0
DEFLECTED0/1
OTHER0/23
ANA
SNAP0/20
SLAP3/6
WRIST2/8
BACKHAND1/3
TIP IN0/4
DEFLECTED0/1
OTHER0/9
SJS
ANA
Off the rush
1 G on 16 · 1.13 xG
4 G on 28 · 2.37 xG
Off rebounds
0 G on 3 · 0.43 xG
1 G on 2 · 0.35 xG

Snap shots carried the volume: SJS went 1-for-17, ANA 0-for-20. ANA scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
J. Carlson
#74 · D · ANA
3 G · 0 A · 3 SOG · 20:16 TOI · +2
T. Terry
#19 · R · ANA
0 G · 2 A · 6 SOG · 18:15 TOI
P. Mintyukov
#98 · D · ANA
0 G · 2 A · 2 SOG · 18:15 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • Y. Askarov (SJS) gave up 2.7 goals more than expected — well below their workload.
  • ANA generated far more dangerous chances — 0.066 xG/shot vs 0.033. Quality over quantity.
  • ANA scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • ANA was lethal off the rush — 4 goals on 28 rush chances.
  • SJS created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • ANA outperformed their expected goals by 2.7 — elite finishing or lucky bounces.
  • ANA power play was dominant — 2 PPG on 7 PP shots (0.61 xG).
Before the game — the model's pre-game read
Preview · SJS at ANA · 10:00 PM ET

The Ducks are the model's lean over the Sharks — with PDO regression in play

By the ModelJul 12, 11:07 AMEdited for clarity
Win probability

The model's lean

56%
ANA
Model favorite
44%
56%
SJS50ANA

ANA by 12 points of win probability — a modest lean. Projected score SJS 2.52.8 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

SJS← edge
edge →ANA
48.0%5v5 xG%52.0%
47.0%Corsi%52.0%
2.33xGF / 602.80
2.56xGA / 602.59
1.99Goals for / gm2.09
2.32Goals against / gm2.32
0.998PDO — luck, not skill0.981

ANA holds 5 of 6 process categories — and PDO (0.998 vs 0.981) says SJS has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.5 to 2.8 goal margin favoring Anaheim, backed by 56% win probability for the Ducks. Structural advantages and a pending regression event explain the lean.

Anaheim dominates the underlying metrics. At 5v5, the Ducks generate 52.0% expected goals compared to San Jose's 48.0%. Anaheim also leads 52.0% Corsi to 47.0%, forcing territorial tilt toward the Sharks' defensive zone.

The regression narrative is central. Anaheim's PDO stands at 0.981—the Ducks are running cold relative to shot quality. Positive regression is due. San Jose's 0.998 PDO suggests slight good fortune, which won't persist.

Form offers no advantage to either side. Both teams carry minus-8 goal differentials over their last ten games. The Ducks' recent underperformance doesn't erase their underlying edge; the metrics and results haven't aligned yet.

L. Dostal is on a back-to-back, introducing a variable. Watch for a backup start or a fatigued starter.

San Jose's key creator, Pavol Regenda, is out (marked inactive). Regenda's 1.10 xG/60 disappears from the Sharks' attack. Igor Chernyshov fills the void at 0.91 xG/60—replacement-level production. Chernyshov also represents a defensive weakness.

Anaheim has balanced scoring depth. Beckett Sennecke (1.03 xG/60, 20 goals, 8 high-danger chances) and Cutter Gauthier (0.99 xG/60, 25 goals, 2 high-danger chances) can generate offense. Mason McTavish is the defensive liability to monitor on Anaheim's end.

The Ducks control process (xG, Corsi, territory) and face a team missing its best scorer. Regression is coming. Back Anaheim.

Computed danger · scouting

Players to watch

SJS
Pavol Regenda5G 1A
1.10 xG/60 · 2 HD · 16.1% sh
Igor Chernyshov6G 8A
0.91 xG/60 · 1 HD · 15.0% 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