Backcheck
Recap · ANA at SJS

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 ModelJun 16, 2:31 PMxG: xgboost-0.758Edited for clarity
Away
ANA
Anaheim Ducks
7
Home
SJS
San Jose Sharks
6
FINAL / OT
Process vs result

The underlying story

5.55Expected goals2.86
66% share for the better side
44Shot attempts (SOG)23
12High-danger chances6
85Corsi (all attempts)43
Score-adjusted: 69% / 31%
Source · NHL play-by-play · XGBoost xG

San Jose's 3.14-goal overperformance on expected goals kept this competitive; Anaheim's underlying dominance won it.

SJS generated only 34% of expected goals (2.86 to 5.55) and managed 23 shot attempts to Anaheim's 44. High-danger chances favored ANA 12–6. Yet San Jose scored six. They outperformed their xG by 3.14, meaning they converted at a rate that doesn't match their opportunities—elite finishers or fortunate bounces, but a gap that reveals the scoreboard understates how thoroughly Anaheim controlled play.

Anaheim built dominance through volume. They finished two goals ahead of their own 5.55 xG, but their shot-attempt and expected-goal advantage was so large that even outperforming their model only shrank the margin. P. Mrazek gave up 3.14 more goals than expected—a stark underperformance that exposed Anaheim's true goaltending deficit despite the win.

Y. Askarov was nearly invincible on high-danger chances, stopping 92% of 12 shots from close range. San Jose was clinical on their limited HD attempts: 3 of 6 converted (50%). They added 5 goals off the rush on 23 chances and created just 3 rebound opportunities, scoring 1. Anaheim generated 10 rebound opportunities and scored 3 goals from rebounds—a decisive edge in secondary chances.

Leo Carlsson's wrist shot from the high slot at 0:46 in overtime closed it. By then, Anaheim's dominance across shot suppression, expected goals, and high-danger chances had become inevitable.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
ANA1 / 12 · 2.73 xG
SJS3 / 6 · 1.35 xG
Medium dangermid-range
ANA4 / 15 · 1.78 xG
SJS2 / 11 · 1.05 xG
Low dangerperimeter & point
ANA2 / 58 · 1.04 xG
SJS1 / 26 · 0.46 xG

ANA went 4-for-15 from medium danger on 1.78 expected goals — 2.2 above expected.

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

Finishing vs expected

expectedactual
ANA
7 G · 5.55 xG · +1.4
SJS
6 G · 2.86 xG · +3.1
012345678
Goalies · GSAx (goals saved above expected)
P. MrazekANA
-3.1
Y. AskarovSJS
-1.5

ANA finished +1.4 against expected, SJS +3.1 — P. Mrazek (ANA) allowed 3.1 more goals than expected.

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

Shot diet

goalsshots
ANA
WRIST6/46
SLAP0/8
TIP IN1/7
BACKHAND0/3
SNAP0/1
POKE0/1
OTHER0/19
SJS
WRIST3/17
SLAP3/8
TIP IN0/2
BACKHAND0/2
SNAP0/1
POKE0/0
OTHER0/13
ANA
SJS
Off the rush
4 G on 37 · 3.08 xG
5 G on 23 · 2.15 xG
Off rebounds
3 G on 10 · 1.97 xG
1 G on 3 · 0.47 xG

Wrist shots carried the volume: ANA went 6-for-46, SJS 3-for-17. SJS scored 5 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. McTavish
#23 · C ·
0 G · 3 A · 5 SOG · 20:50 TOI
M. Celebrini
#71 · C ·
0 G · 3 A · 1 SOG · 20:23 TOI
L. Carlsson
#91 · C ·
1 G · 2 A · 3 SOG · 19:42 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • P. Mrazek (ANA) gave up 3.1 goals more than expected — well below their workload.
  • Open game — 18 high-danger chances combined (SJS 6, ANA 12).
  • SJS was clinical in the high-danger zone — 3/6 on HD chances (50%).
  • ANA scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • SJS was lethal off the rush — 5 goals on 23 rush chances.
  • ANA was lethal off the rush — 4 goals on 37 rush chances.
  • SJS created 3 rebound opportunities (1 converted) — crashing the net effectively.
  • ANA created 10 rebound opportunities (3 converted) — crashing the net effectively.
  • SJS outperformed their expected goals by 3.1 — elite finishing or lucky bounces.
  • Y. Askarov was a wall on HD chances — 92% SV on 12 high-danger shots.
Before the game — the model's pre-game read
Preview · ANA at SJS · 10:00 PM ET

Ducks at Sharks: a genuine coin flip

By the ModelJun 16, 2:28 PMEdited for clarity
Win probability

The model's lean

52%
ANA
Model favorite
52%
48%
ANA50SJS

ANA by 4 points of win probability — effectively a coin flip. Projected score ANA 2.72.6 SJS; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season profile · edge from the spine

Tale of the tape

ANA← edge
edge →SJS
52.0%5v5 xG%48.0%
52.0%Corsi%47.0%
2.80xGF / 602.33
2.59xGA / 602.56
2.09Goals for / gm1.99
2.32Goals against / gm2.32
0.981PDO — luck, not skill0.998

ANA holds 4 of 6 process categories — and PDO (0.981 vs 0.998) says SJS has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.7-2.6 game with San Jose at 48% win probability — this is about as close to a pick'em as you'll find.

Anaheim owns the underlying play. The Ducks are generating 52.0% of expected goals and controlling 52.0% of Corsi at 5v5, a consistent territorial advantage. But their season PDO of 0.981 tells a different story: they've been converting at a below-average rate, which suggests positive regression is due.

San Jose's PDO sits at 0.998, nearly neutral, a sign their results have tracked closer to their underlying performance. That stability, combined with the Ducks' expected upside, is why this matchup projects so tight despite Anaheim's edge in shot quality and volume.

Watch Beckett Sennecke for the Ducks. He's operating at 1.03 xG/60 with 20 goals and 19 assists, including 8 high-danger chances. His 13.5% shooting rate is elevated but grounded — there's real offensive talent generating that output. Cutter Gauthier has posted 25 goals on 0.99 xG/60, but only 2 of those came from high-danger chances, which suggests he's outperforming his underlying shot quality.

For San Jose, Pavol Regenda presents a puzzle: 1.10 xG/60 — the highest on their roster — yet only 5 goals and 1 assist. That gap signals either due regression or consistent misfortune. Igor Chernyshov is a dual threat: 0.91 xG/60 with 6 goals and 8 assists makes him a play-driver.

This is genuinely a toss-up. Anaheim's territorial advantage gives them the edge in a vacuum, but their PDO creates just enough room for the Sharks to steal this if special teams or goaltending breaks their way.

Computed danger · scouting

Players to watch

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
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
Source · MoneyPuck skaters