Motion-blurred skater in a Anaheim Ducks sweater
Breakdown · ANA at SEA

Ducks run the Kraken off the ice on the underlying numbers

The verdict · earned

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

ANA 4 · SEA 2
◆ By the ModelJul 12, 2:22 AMxG: xgboost-0.758Edited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

Anaheim's 4-2 win was one of the rare cases where the box score and the underlying numbers align completely. The Ducks controlled 66% of expected goals at 5v5 (3.92–2.00), and the scoreline reflected it.

Anaheim converted 2 of 4 high-danger chances; Seattle had just one. That edge in the danger zone—where the scoring happens—proved decisive.

Quantity reinforced quality. Anaheim out-shot Seattle 31–22 at 5v5, and when they did shoot, they shot better—0.062 expected goals per shot versus 0.040. Seattle's rush attack offered a bright spot: the Kraken scored 2 goals on 21 rush attempts. Anaheim was equally lethal off the rush, scoring 2 on 27 chances, neutralizing what could have been the visitors' narrative.

Pavel Mintyukov's wrist shot from the slot in the third period (18:48) was the turning point. By then, the underlying dominance was already on display.

In goal, L. Dostal stopped 20 of 22 for Anaheim (0.909 SV%), while P. Grubauer made 27 saves for Seattle at 0.900 SV%, performing +0.92 against expected. Grubauer played well above the odds; it just wasn't enough.

Anaheim's net-crash strategy paid off—five rebound opportunities generated, with one converted. That's basic but effective: get second chances when the first look doesn't go in.

The Ducks didn't win despite the metrics. They won because of them.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Jan 23
ANA
4
SEA
2

Ducks run the Kraken off the ice on the underlying numbers

Chances 3.9 – 2.0Did they deserve it? →
Did they deserve it?

The Ducks earned this one.

Expected goals · chance value
ANA
3.92
SEA
2.00
66% of the chances34%

The board read ANA 4, SEA 2. The chances read ANA 3.9, SEA 2.0.

Our xG model · NHL play-by-play · all situations
Luck check
ANA
+0.1
goals above expected
ANA3.92 expected · 4 scored
Expected
Scored
SEA2.00 expected · 2 scored
Expected
Scored

Both sides finished close to what their chances were worth. This one was earned on the ice.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P1 01:02ANAC. Gauthier1–0
  2. P1 15:24ANAR. PoehlingSH2–0
  3. P2 01:55SEAJ. McCann2–1
  4. P2 04:00ANAC. KreiderPP3–1
  5. P3 01:54SEAJ. Schwartz3–2
  6. P3 18:48ANAP. MintyukovEN4–2
NHL play-by-play · chance value from our xG model
Where the shots came from
ANA
50 shots
4
Final
89 shots
SEA
39 shots
2
ANA attackSEA attack
ANA SEA Goal
50
shots · 4 in
39
shots · 2 in
Every unblocked shot · press play to replay it
Chances by danger
ANASEA
2 / 4
1.62 xG
High danger
0 / 1
0.18 xG
2 / 13
1.44 xG
Medium
1 / 11
1.08 xG
0 / 46
0.86 xG
Low
1 / 38
0.74 xG

The Ducks buried 2 of 4 high-danger looks.

Danger tiers by our xG model · high ≥ 20% chance
In the net
B+
P. Grubauer
+0.9
SEA · 27/30
C
L. Dostal
+0.0
ANA · 20/22
The numbers, checked
BACKCHECK

Ducks run the Kraken off the ice on the underlying numbers

A model, not a newsroom. Every number on these frames comes from the NHL's play-by-play and our own models. Nothing was watched, guessed or heard from anyone.

Read the full breakdown
backcheckreport.com
01 / 08 · Final
Every goal, in order

How it happened

NHL play-by-play
1stshots 12–3
  1. 01:02ANAC. Gauthier(J. Viel, P. Mintyukov)1–0
  2. 15:24ANAR. Poehlingshorthanded(I. Moore)2–0
2ndshots 12–8
  1. 01:55SEAJ. McCann(J. Eberle, M. Beniers)2–1
  2. 04:00ANAC. Kreiderpower play(C. Gauthier, J. LaCombe)3–1
3rdshots 7–11
  1. 01:54SEAJ. Schwartz(S. Wright, K. Kakko)3–2
  2. 18:48ANAP. Mintyukovempty net(M. Granlund, D. Helleson)4–2

score reads ANA–SEA

Source · NHL play-by-play (api-web.nhle.com)
Process vs result

The numbers

XGBoost xG · NHL play-by-play
3.92
ANA chances
Goals their shots were worth
+0.1
Finishing
Goals above what those chances were worth
1.024
ANA puck luck
Above 1.000 — the bounces went their way
55.8%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

3.92Expected goals2.00
ANA 66% of the chance quality
31Shots on goal22
4High-danger chances1
63All attempts (Corsi)50
Adjusted for score: ANA 50% · SEA 50%
Faceoffs · SEA won63%off43%neu40%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
ANA2 / 4 · 1.62 xG
SEA0 / 1 · 0.18 xG
Medium dangermid-range
ANA2 / 13 · 1.44 xG
SEA1 / 11 · 1.08 xG
Low dangerperimeter & point
ANA0 / 46 · 0.86 xG
SEA1 / 38 · 0.74 xG

ANA went 0-for-46 from low danger on 0.86 expected goals — 0.9 left on the table.

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

Finishing vs expected

expectedactual
ANA
4 G · 3.92 xG · +0.1
SEA
2 G · 2.00 xG · +0.0
012345

ANA finished +0.1 against expected, SEA +0.0.

Source · Backcheck xG model
Shot types · rush and rebound chancesopen +
What they shot — and what went in

Shot diet

goalsshots
ANA
WRIST3/31
SLAP0/6
SNAP1/5
BACKHAND0/4
TIP IN0/2
WRAP AROUND0/1
DEFLECTED0/1
POKE0/0
BAT0/0
OTHER0/13
SEA
WRIST1/26
SLAP0/4
SNAP0/3
BACKHAND0/1
TIP IN0/2
WRAP AROUND0/1
DEFLECTED0/0
POKE1/1
BAT0/1
OTHER0/11
ANA
SEA
Off the rush
2 G on 27
1.96 xG
2 G on 21
1.29 xG
Off rebounds
1 G on 5
0.68 xG
0 G on 1
0.07 xG

Wrist shots carried the volume: ANA went 3-for-31, SEA 1-for-26. ANA scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
New to these numbers?

Two things happened in this game: who created the better chances, and who put the puck in the net. They are not the same thing, and this page separates them on purpose.

The one to watch is expected goals— the best single read on who deserved to win. When it disagrees with the scoreboard, that disagreement is usually the story. Nothing here is a projection; every figure is computed from this game's play-by-play. Full glossary →

xG
Expected goals. Every shot scored by how often that exact look goes in. 2.5 xG means the chances were worth about two and a half goals.
HD
High-danger chances — shots from the slot and the crease, where shots actually become goals.
Corsi
Every shot attempt, including the ones that missed or got blocked. A rough read on who had the puck.
Adj.
Score-adjusted. Teams that trail shoot more and teams that lead sit back, so this corrects the attempt count for the scoreboard.
GSAx
Goals saved above expected. A positive number means the goalie stopped more than an average goalie would have on those shots.
PDO
Shooting % plus save % — a luck gauge. It sits near 1.000 over a season, so a game far from it usually means the bounces decided it.
Shot by shot

In the net

Graded on goals saved above expected
L. Dostal
ANA · 20/22 · .909
+0.0
saved above expected
C
the night
By dangerG/attxGsaved
High danger0/10.2+0.2
Medium1/111.1+0.1
Low1/380.7-0.3

A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

P. Grubauer
SEA · 27/30 · .900
+0.9
saved above expected
B+
the night
By dangerG/attxGsaved
High danger2/41.6-0.4
Medium2/131.4-0.6
Low0/460.9+0.9

A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

89 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
ANA
50 shots
4
Final
89 shots
SEA
39 shots
2
ANA attackSEA attack
ANA SEA Goal

Each club shoots toward its own end — ANA left, SEA right — the way you would watch it. A dot's size is how dangerous the look was, from distance and angle; it is a proxy for shot quality, not the xG model the article is written from. Hover a dot for the shooter and the clock.

Ranked from the box score

Three stars

Points first
Three stars · computed, not voted
P. Mintyukov
#98 · D · ANA
1 G · 1 A · 3 SOG · 20:27 on ice · +2
C. Gauthier
#61 · L · ANA
1 G · 1 A · 7 SOG · 17:13 on ice · +1
J. LaCombe
#2 · D · ANA
0 G · 1 A · 1 SOG · 22:54 on ice · -1
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Fri, Jan 23
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 12, 2:20 AMEdited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

The model sees Anaheim at 2.6 expected goals against Seattle's 2.5, favoring the Ducks at 53% win probability. That's as close to even money as you get.

Here's why: Anaheim owns the underlying play. At 5v5, the Ducks command 52.0% expected goals share and control play at 52.0% Corsi. Seattle musters 46.0% xG and 45.0% Corsi—a territorial disadvantage that usually predicts outcomes.

But Seattle is running hot. The Kraken's PDO sits at 1.011, their shooting and save percentages exceeding league average by enough to mask their possession deficit. Anaheim's PDO is 0.981, dragging on a team whose shot volume should produce more wins. The Ducks are due for positive regression; the Kraken are not.

That gap is the entire game. If Anaheim's shot quality converts at normal rates and Seattle's hot streak cools, the Ducks win. If Seattle's luck holds and Anaheim stays snake-bitten, the Kraken steal one.

Beckett Sennecke (20G, 19A, 1.03 xG/60, 8 high-danger goals at 13.5% shooting) is Anaheim's engine. He's generating chances at a rate that suggests he'll sustain his output. Cutter Gauthier (25G, 16A, 0.99 xG/60, 2 high-danger goals at 12.9% shooting) is the closer, converting at a high clip—though his low-danger production raises questions about consistency.

Seattle's top tier is thinner. Shane Wright (8G, 10A, 0.77 xG/60, 4 high-danger goals at 10.4% shooting) generates at a respectable rate. Berkly Catton (6G, 8A, 0.68 xG/60, 5 high-danger goals at 8.8% shooting) trails him in both generation and output.

The Ducks should win this on process. Whether they do depends on whether Anaheim's mechanics finally catch up to its luck—or whether the Kraken's does.

What the model said beforehand

The model's lean

ANA 53%
53%
ANA
Model favorite
53%
47%
ANA50SEA

ANA by 6 points of win probability — a modest lean. Projected score ANA 2.6–2.5 SEA; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season rates · 5v5

Tale of the tape

NHL stats API · our xG
ANA← edge
edge →SEA
52.0%46.0%
52.0%45.0%
2.802.13
2.592.51
2.091.87
2.321.95
0.9811.011

ANA holds 4 of 6 process categories — and the luck row (0.981 vs 1.011) says SEA has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · No games yet
ANA
0-0-0
+0 GD · 0d rest
SEA
0-0-0
+0 GD · 0d rest
0.981
ANA PDO
Luck gauge · drifts to 1.000
1.011
SEA PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Where the edges live
  • The Ducks own the underlying play — 52.0% 5v5 xG vs 46.0%.
  • The Ducks drive Corsi at 52.0% — expect territorial tilt.
Regression watch
  • The Ducks' PDO is 0.981 — running cold, due for positive regression.
Things to watch
  • The Ducks own the underlying play — 52.0% 5v5 xG vs 46.0%.
  • The Ducks drive Corsi at 52.0% — expect territorial tilt.
  • The Ducks' PDO is 0.981 — running cold, due for positive regression.
Computed danger · scouting

Players to watch

NHL stats API · our xG
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
SEA
Shane Wright8G 10A
0.77 xG/60 · 4 HD · 10.4% sh
Berkly Catton6G 8A
0.68 xG/60 · 5 HD · 8.8% sh
Keep going

Where to next