Backcheck
Recap · ANA at BOS

Ducks hold off the Bruins

The Ducks won a genuine coin flip — neither side controlled the run of play.

By the ModelJul 11, 1:12 PMxG: xgboost-0.758Edited for clarity
Away
ANA
Anaheim Ducks
7
Home
BOS
Boston Bruins
5
FINAL
Process vs result

The underlying story

4.33Expected goals4.17
51% share for the better side
30Shot attempts (SOG)42
5High-danger chances8
63Corsi (all attempts)82
Score-adjusted: 43% / 57%
Source · NHL play-by-play · XGBoost xG

The Ducks won 7-5 against a Bruins team that controlled the game — and got nothing for it. Boston held 58% of shot attempts (42–30 on goal), but the underlying metrics told a different story: Anaheim's efficiency at even strength was lethal, and the Bruins' goaltending offered no resistance.

The expected-goals split was nearly even at 4.17–4.33 in Anaheim's favor. Where the game tilted was in shot quality: the Ducks recorded 8 high-danger chances to Boston's 5, and more importantly, generated 0.069 expected goals per shot compared to Boston's 0.051. That margin compounds across 30 shots.

The goaltending gap was decisive. J. Korpisalo's 23/29 performance (0.793 SV%) cost the Bruins 1.67 goals against expectation; P. Mrazek's 37/42 (0.881 SV%) was only 0.83 below par. One goalie collapses, one competes — the margin between 7-5 and a much tighter game.

Anaheim's rush game was the difference: 6 goals on 33 chances. Boston managed 2. The Ducks scored 2 goals from low-danger spots despite outchancing the Bruins everywhere else, while Boston's 3 low-danger tallies were a consequence of being pressed all game.

Three Stars

  • M. Granlund (ANA) — 2G, 3A in 20:46
  • N. Nesterenko (ANA) — 4A in 15:17
  • J. Trouba (ANA) — 1G, 1A in 28:34
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
ANA1 / 5 · 1.63 xG
BOS1 / 8 · 1.76 xG
Medium dangermid-range
ANA4 / 16 · 2.06 xG
BOS1 / 13 · 1.49 xG
Low dangerperimeter & point
ANA2 / 42 · 0.64 xG
BOS3 / 61 · 0.92 xG

BOS went 3-for-61 from low danger on 0.92 expected goals — 2.1 above expected.

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

Finishing vs expected

expectedactual
ANA
7 G · 4.33 xG · +2.7
BOS
5 G · 4.17 xG · +0.8
012345678
Goalies · GSAx (goals saved above expected)
P. MrazekANA
-0.8
J. KorpisaloBOS
-1.7

ANA finished +2.7 against expected, BOS +0.8 — J. Korpisalo (BOS) allowed 1.7 more goals than expected.

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

Shot diet

goalsshots
ANA
SNAP3/8
WRIST4/26
TIP IN0/5
SLAP0/6
DEFLECTED0/1
BACKHAND0/2
OTHER0/15
BOS
SNAP1/33
WRIST4/4
TIP IN0/11
SLAP0/5
DEFLECTED0/2
BACKHAND0/1
OTHER0/26
ANA
BOS
Off the rush
6 G on 33 · 2.99 xG
2 G on 33 · 2.57 xG
Off rebounds
0 G on 3 · 0.36 xG
1 G on 5 · 0.83 xG

Snap shots carried the volume: ANA went 3-for-8, BOS 1-for-33. ANA scored 6 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Granlund
#64 · C · ANA
2 G · 3 A · 5 SOG · 20:46 TOI · +4
N. Nesterenko
#13 · C · ANA
0 G · 4 A · 2 SOG · 15:17 TOI · +4
J. Trouba
#65 · D · ANA
1 G · 1 A · 2 SOG · 28:34 TOI · +3
Ranked from the box score — points first · Backcheck
What the model flagged
  • BOS had the shot volume but the chances weren't dangerous.
  • J. Korpisalo (BOS) gave up 1.7 goals more than expected — well below their workload.
  • ANA had the higher quality looks — 0.069 xG/shot vs 0.051.
  • BOS scored 3 goals from low-danger spots — the opposing goalie needs to have those.
  • ANA scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • BOS was lethal off the rush — 2 goals on 33 rush chances.
  • ANA was lethal off the rush — 6 goals on 33 rush chances.
  • BOS created 5 rebound opportunities (1 converted) — crashing the net effectively.
  • ANA created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • ANA outperformed their expected goals by 2.7 — elite finishing or lucky bounces.
Before the game — the model's pre-game read
Preview · ANA at BOS · 7:00 PM ET

Ducks at Bruins: a genuine coin flip

By the ModelJul 11, 12:45 PMEdited for clarity
Win probability

The model's lean

52%
ANA
Model favorite
52%
48%
ANA50BOS

ANA by 4 points of win probability — effectively a coin flip. Projected score ANA 2.72.6 BOS; 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 →BOS
52.0%5v5 xG%47.0%
52.0%Corsi%49.0%
2.80xGF / 602.39
2.59xGA / 602.67
2.09Goals for / gm2.22
2.32Goals against / gm1.82
0.981PDO — luck, not skill1.023

ANA holds 4 of 6 process categories — and PDO (0.981 vs 1.023) says BOS has run hotter.

Source · MoneyPuck season tables · 5v5

The model calls this one a toss-up: Anaheim projects to 2.7 goals, Boston to 2.6, with the Ducks at 52% win probability. It's as close to a true coin flip as you'll get.

The underlying play belongs to the Ducks. Anaheim owns 52.0% of expected goals and 52.0% of Corsi at 5v5—meaningful territorial control that translates to the slight edge in win probability. This isn't dominant; it's the kind of advantage that a hot goaltender or cold streak erases in one evening.

Both teams are vulnerable to variance. Boston's 1.023 PDO reveals a team running hot; regression is coming. Anaheim's 0.981 PDO is the inverse—the Ducks are running cold and due for positive regression. Over time, those gaps close.

The wrinkle: L. Dostal is on a back-to-back. Whether the Ducks start their backup or ask their starter to carry extra fatigue matters. A tired starter can shrink that xG advantage fast.

Beckett Sennecke (20G, 1.03 xG/60, 8 HD goals) and Cutter Gauthier (25G, 12.9% shooting, 0.99 xG/60) anchor Anaheim's offense. Sennecke's net-front production and Gauthier's volume are the forces Boston must contain. Viktor Arvidsson (18G, 24A, 1.04 xG/60) leads Boston's response—his assist total suggests he's a distribution point as much as a scorer. Tanner Jeannot (6G, 14A, 0.75 xG/60) provides secondary punch.

Defensively, Mason McTavish is Anaheim's weak link. Elias Lindholm carries that burden for Boston. This is the kind of game models struggle with: tight fundamentals, narrow edges, and genuine uncertainty. The Ducks' territorial advantage and Boston's hot PDO cut against each other. The xG rates are close enough that execution matters more than raw advantage. Back-to-back fatigue is the real determinant.

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
BOS
Viktor Arvidsson18G 24A
1.04 xG/60 · 2 HD · 13.0% sh
Tanner Jeannot6G 14A
0.75 xG/60 · 2 HD · 8.3% sh
Source · MoneyPuck skaters