Motion-blurred skater in a Washington Capitals sweater
Breakdown · SEA at WSH

Capitals run the Kraken off the ice on the underlying numbers

The verdict · earned

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

SEA 1 · WSH 4
◆ By the ModelJul 11, 12:36 PMxG: 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

The Capitals' dominance transcended the 4-1 scoreline. They generated six high-danger chances to the Kraken's zero, concentrating their advantage in the areas where games are won.

The Capitals' efficiency was the differentiator. They generated 0.056 expected goals per shot, to the Kraken's 0.042—a 33% gap in shot quality that reflects precision alongside volume.

The expected goals confirmed this: 3.99 for the Capitals, 2.14 for the Kraken (65–35). The Capitals also controlled 64% of shot attempts, establishing superiority across every metric that mattered.

L. Thompson's 0.947 save percentage translated to 1.14 goals above expected. His counterpart, M. Murray, posted 0.909 and allowed 0.99 above expected—solid goaltending overwhelmed by a team with superior execution in every phase.

The Kraken underperformed their xG by 1.14 goals, converting just one goal on 2.14 expected. The Capitals found success on the rush, scoring twice on 29 chances—a secondary avenue to complement their dominance in set play and high-danger areas.

Tom Wilson's snap shot from the point (P3, 19:10) served as the turning point—the play that punctuated the Capitals' control.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Oct 21
SEA
1
WSH
4

Capitals run the Kraken off the ice on the underlying numbers

Chances 2.1 – 4.0Did they deserve it? →
Did they deserve it?

The Capitals earned this one.

Expected goals · chance value
SEA
2.14
WSH
3.99
35% of the chances65%

The board read SEA 1, WSH 4. The chances read SEA 2.1, WSH 4.0.

Our xG model · NHL play-by-play · all situations
Luck check
WSH
+0.0
goals above expected
WSH3.99 expected · 4 scored
Expected
Scored
SEA2.14 expected · 1 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 08:30WSHN. Dowd0–1
  2. P2 00:25WSHR. Leonard0–2
  3. P2 01:33WSHJ. ChychrunPP0–3
  4. P3 03:50SEAJ. Schwartz1–3
  5. P3 19:10WSHT. WilsonEN1–4
NHL play-by-play · chance value from our xG model
Where the shots came from
SEA
33 shots
1
Final
83 shots
WSH
50 shots
4
SEA attackWSH attack
SEA WSH Goal
33
shots · 1 in
50
shots · 4 in
Every unblocked shot · press play to replay it
Chances by danger
SEAWSH
0 / 0
0.00 xG
High danger
1 / 6
1.98 xG
1 / 15
1.76 xG
Medium
2 / 11
1.12 xG
0 / 36
0.38 xG
Low
1 / 54
0.89 xG

High-danger looks: SEA 0 of 0, WSH 1 of 6.

Danger tiers by our xG model · high ≥ 20% chance
In the net
B+
L. Thompson
+1.1
WSH · 18/19
B+
M. Murray
+1.0
SEA · 30/33
The numbers, checked
BACKCHECK

Capitals 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 6–11
  1. 08:30WSHN. Dowd(J. Carlson, B. Duhaime)0–1
2ndshots 3–16
  1. 00:25WSHR. Leonard(A. Protas, M. Fehérváry)0–2
  2. 01:33WSHJ. Chychrunpower play(A. Ovechkin, D. Strome)0–3
3rdshots 10–7
  1. 03:50SEAJ. Schwartz(B. Meyers)1–3
  2. 19:10WSHT. Wilsonempty net(N. Dowd, A. Protas)1–4

score reads SEA–WSH

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

The numbers

XGBoost xG · NHL play-by-play
3.99
WSH chances
Goals their shots were worth
+0.0
Finishing
Goals above what those chances were worth
1.037
WSH puck luck
Above 1.000 — the bounces went their way
58.2%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

2.14Expected goals3.99
WSH 65% of the chance quality
19Shots on goal34
0High-danger chances6
51All attempts (Corsi)71
Adjusted for score: SEA 48% · WSH 52%
Faceoffs · WSH won63%off53%neu29%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SEA0 / 0 · 0.00 xG
WSH1 / 6 · 1.98 xG
Medium dangermid-range
SEA1 / 15 · 1.76 xG
WSH2 / 11 · 1.12 xG
Low dangerperimeter & point
SEA0 / 36 · 0.38 xG
WSH1 / 54 · 0.89 xG

WSH went 1-for-6 from high danger on 1.98 expected goals — 1.0 left on the table.

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

Finishing vs expected

expectedactual
SEA
1 G · 2.14 xG · -1.1
WSH
4 G · 3.99 xG · +0.0
012345

SEA finished -1.1 against expected, WSH +0.0.

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

Shot diet

goalsshots
SEA
SNAP1/22
SLAP0/6
TIP IN0/3
BACKHAND0/2
WRIST0/0
DEFLECTED0/0
OTHER0/18
WSH
SNAP3/25
SLAP0/12
TIP IN1/8
BACKHAND0/1
WRIST0/3
DEFLECTED0/1
OTHER0/21
SEA
WSH
Off the rush
0 G on 21
1.70 xG
2 G on 29
2.08 xG
Off rebounds
1 G on 1
0.17 xG
0 G on 4
0.69 xG

Snap shots carried the volume: SEA went 1-for-22, WSH 3-for-25. WSH 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
M. Murray
SEA · 30/33 · .909
+1.0
saved above expected
B+
the night
By dangerG/attxGsaved
High danger1/62.0+1.0
Medium2/111.1-0.9
Low1/540.9-0.1

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

L. Thompson
WSH · 18/19 · .947
+1.1
saved above expected
B+
the night
By dangerG/attxGsaved
Medium1/151.8+0.8
Low0/360.4+0.4

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

83 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
SEA
33 shots
1
Final
83 shots
WSH
50 shots
4
SEA attackWSH attack
SEA WSH Goal

Each club shoots toward its own end — SEA left, WSH 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
N. Dowd
#26 · C · WSH
1 G · 1 A · 2 SOG · 16:58 on ice · +1
A. Protas
#21 · L · WSH
0 G · 2 A · 2 SOG · 16:28 on ice · +2
J. Chychrun
#6 · D · WSH
1 G · 0 A · 4 SOG · 22:23 on ice · +1
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Tue, Oct 21
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 11, 12:42 PMEdited 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 projects a 2.4 to 2.7 goal spread favoring Washington at 55% win probability.

The Capitals control the underlying play: 50.0% expected goals share versus Seattle's 46.0%. They also drive territory decisively, posting a 49.0% Corsi — Washington should dominate possession time. But Seattle's 46.0% xG% and 45.0% Corsi% mark a clear gap in play quality.

Here's the constraint: Washington's 1.018 PDO ranks as the season's most inflated. Expect regression. When unsustainable goaltending and shooting luck normalize — and they will — the Capitals' advantage compresses. Seattle's 1.011 PDO leaves less room for variance in the opposite direction.

Watch for J. Daccord on a back-to-back. A tired starter or a backup could flip the strategic balance.

Washington's scoring load runs through Alex Ovechkin (0.97 xG/60, 19 goals, 17 assists, 13.8% shooting) and Anthony Beauvillier (0.89 xG/60, 14 goals, 9 assists, 10.4% shooting). Seattle counters with Shane Wright (0.77 xG/60, 8 goals, 10 assists, 10.4% shooting, four high-danger goals) and Berkly Catton (0.68 xG/60, 6 goals, 8 assists, 8.8% shooting, five high-danger goals).

The matchup priorities clarify themselves. Neutralizing Ovechkin is Seattle's defense-first task — his 19 goals anchor the threat. Wright's 0.77 xG/60 and four high-danger chances make him Seattle's offensive engine; Washington must account for that secondary load. Catton's 8.8% shooting offers a tertiary concern.

Both teams post flat high-danger and rebound goal rates, removing volatility from secondary scoring. Chandler Stephenson is Seattle's defensive leak; Declan Chisholm carries that vulnerability for Washington.

The verdict hinges on one variable: does Washington's underlying advantage survive PDO regression? The model says yes at 55%, meaning the Capitals' play quality alone should carry them through. If goaltending fails or shooting luck evaporates, Seattle's path opens. Otherwise, expect the better team to win the play and the game.

What the model said beforehand

The model's lean

WSH 55%
55%
WSH
Model favorite
45%
55%
SEA50WSH

WSH by 10 points of win probability — a modest lean. Projected score SEA 2.4–2.7 WSH; 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
SEA← edge
edge →WSH
46.0%50.0%
45.0%49.0%
2.132.62
2.512.62
1.872.18
1.951.79
1.0111.018

WSH holds 5 of 6 process categories — and the luck row (1.011 vs 1.018) says WSH has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · Last 10
SEA
5-2-3
+1 GD · 1d rest
WSH
7-3-0
+6 GD · 2d rest
1.011
SEA PDO
Luck gauge · drifts to 1.000
1.018
WSH PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Where the edges live
  • The Capitals own the underlying play — 50.0% 5v5 xG vs 46.0%.
  • The Capitals drive Corsi at 49.0% — expect territorial tilt.
Regression watch
  • The Capitals' PDO is 1.018 — running hot, expect some regression.
Things to watch
  • The Capitals own the underlying play — 50.0% 5v5 xG vs 46.0%.
  • The Capitals drive Corsi at 49.0% — expect territorial tilt.
  • J. Daccord is on a back-to-back — watch for a backup start or a tired starter.
  • The Capitals' PDO is 1.018 — running hot, expect some regression.
Last game's lineup · confirmed at warm-up

Lineups

NHL box score
SEA
Expected in goal
J. Daccord
back-to-back.762 last start
Backup Joey Daccord · -6.2 GSAx this season
Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

No completed game on file for this club yet.

WSH
Expected in goal
C. Lindgren
2 days rest.833 last start
Backup Logan Thompson · +29.3 GSAx this season

No completed game on file for this club yet.

Lineups are the players who dressed in each club's last game, with their minutes; clubs confirm tonight's at warm-up. Every player this preview names was in that lineup.

Computed danger · scouting

Players to watch

NHL stats API · our xG
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
WSH
Alex Ovechkin19G 17A
0.97 xG/60 · 2 HD · 13.8% sh
Anthony Beauvillier14G 9A
0.89 xG/60 · 2 HD · 10.4% sh
Keep going

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