Motion-blurred skater in a Seattle Kraken sweater
Breakdown · PHI at SEA

P. Grubauer stands tall as the Kraken edge the Flyers

The verdict · stolen

The Kraken stole one. They lost the expected-goals battle 3.87–2.75 and won anyway.

PHI 1 · SEA 4
◆ By the ModelJul 11, 10:13 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 Flyers controlled this game. They mustered 58% of expected goals at 5v5, generated six high-danger chances, and peppered P. Grubauer with quality looks. Yet they lost 4-1—a heist orchestrated by a goalie performing at an elite level.

P. Grubauer stopped 32 of 33 shots for a 0.970 save percentage, 2.87 goals better than expected. That salvage job was the entire game. The Flyers underperformed their own xG by 2.87 goals, meaning they wasted a two-goal advantage in shot quality and came away with nothing.

The Kraken, by contrast, executed ruthlessly when it mattered. They won the high-danger battle 3-6 but converted at a rate the Flyers simply did not match. A wrist shot from Eeli Tolvanen off the top of the circles (18:24, third period) crystallized Seattle's efficiency—they capitalized on the chances that existed.

The goaltending disparity tells the full story. D. Vladar made 16 of 18 saves for Philadelphia (0.889 SV%, +0.75 above expected), a respectable outing that mattered little when your team could not finish. The Flyers went 0-for-6 on high-danger chances, a wasteful margin no amount of possession can overcome.

Seattle's rush game proved lethal: four goals on fifteen rush attempts. The Kraken finished not by dominating expected-goals metrics, but by punishing mistakes and getting reliable goaltending when it counted.

The Flyers created a game they should have won by xG. Instead, they learned a harsh lesson in why possession without conversion is a hollow victory. P. Grubauer had other ideas, turning in a performance that stole two points the Flyers should have claimed.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Dec 28
PHI
1
SEA
4

P. Grubauer stands tall as the Kraken edge the Flyers

Chances 3.9 – 2.8Did they deserve it? →
Did they deserve it?

The Flyers deserved better.

Expected goals · chance value
PHI
3.87
SEA
2.75
59% of the chances42%

The board read PHI 1, SEA 4. The chances read PHI 3.9, SEA 2.8.

Our xG model · NHL play-by-play · all situations
Luck check
SEA
+1.3
goals above expected
SEA2.75 expected · 4 scored
Expected
Scored
PHI3.87 expected · 1 scored
Expected
Scored

The Flyers left 2.9 goals on the table against what their chances were worth.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P2 03:48SEAJ. Eberle0–1
  2. P3 05:49SEAC. Stephenson0–2
  3. P3 17:31SEAE. TolvanenEN0–3
  4. P3 18:03PHIC. Grundstrom1–3
  5. P3 18:24SEAE. TolvanenEN1–4
NHL play-by-play · chance value from our xG model
Where the shots came from
PHI
50 shots
1
Final
76 shots
SEA
26 shots
4
PHI attackSEA attack
PHI SEA Goal
50
shots · 1 in
26
shots · 4 in
Every unblocked shot · press play to replay it
Chances by danger
PHISEA
0 / 6
1.37 xG
High danger
3 / 3
1.90 xG
1 / 16
1.66 xG
Medium
1 / 5
0.42 xG
0 / 45
0.83 xG
Low
0 / 36
0.43 xG

The Flyers went 0 for 6 from the slot.

Danger tiers by our xG model · high ≥ 20% chance
In the net
A+
P. Grubauer
+2.9
SEA · 32/33
B+
D. Vladar
+0.8
PHI · 16/18
The numbers, checked
BACKCHECK

P. Grubauer stands tall as the Kraken edge the Flyers

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 11–7no goals
    2ndshots 8–7
    1. 03:48SEAJ. Eberle(K. Kakko, M. Beniers)0–1
    3rdshots 14–6
    1. 05:49SEAC. Stephenson(E. Tolvanen)0–2
    2. 17:31SEAE. Tolvanenempty net(C. Stephenson)0–3
    3. 18:03PHIC. Grundstrom(R. Abols, N. Grebenkin)1–3
    4. 18:24SEAE. Tolvanenempty net1–4

    score reads PHI–SEA

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

    The numbers

    XGBoost xG · NHL play-by-play
    2.75
    SEA chances
    Goals their shots were worth
    +1.3
    Finishing
    Goals above what those chances were worth
    1.076
    SEA puck luck
    Above 1.000 — the bounces went their way
    39.6%
    Shot attempts
    Under half — they were outshot
    Split by club

    Who controlled the game

    3.87Expected goals2.75
    PHI 59% of the chance quality
    33Shots on goal20
    6High-danger chances3
    67All attempts (Corsi)44
    Adjusted for score: PHI 63% · SEA 37%
    Faceoffs · SEA won38%off50%neu56%def
    Source · NHL play-by-play · XGBoost xG
    How the game was won

    The danger ladder

    shotsgoalsexpected
    High dangerslot & crease
    PHI0 / 6 · 1.37 xG
    SEA3 / 3 · 1.90 xG
    Medium dangermid-range
    PHI1 / 16 · 1.66 xG
    SEA1 / 5 · 0.42 xG
    Low dangerperimeter & point
    PHI0 / 45 · 0.83 xG
    SEA0 / 36 · 0.43 xG

    PHI went 0-for-6 from high danger on 1.37 expected goals — 1.4 left on the table.

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

    Finishing vs expected

    expectedactual
    PHI
    1 G · 3.87 xG · -2.9
    SEA
    4 G · 2.75 xG · +1.3
    012345

    PHI finished -2.9 against expected, SEA +1.3.

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

    Shot diet

    goalsshots
    PHI
    WRIST1/28
    SNAP0/5
    TIP IN0/5
    SLAP0/4
    BACKHAND0/5
    DEFLECTED0/2
    BAT0/1
    WRAP AROUND0/0
    OTHER0/17
    SEA
    WRIST1/14
    SNAP2/5
    TIP IN0/2
    SLAP0/2
    BACKHAND0/1
    DEFLECTED1/1
    BAT0/0
    WRAP AROUND0/1
    OTHER0/18
    PHI
    SEA
    Off the rush
    1 G on 35
    2.95 xG
    4 G on 15
    2.57 xG
    Off rebounds
    0 G on 3
    0.48 xG
    0 G on 0
    0.00 xG

    Wrist shots carried the volume: PHI went 1-for-28, SEA 1-for-14. SEA scored 4 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
    D. Vladar
    PHI · 16/18 · .889
    +0.8
    saved above expected
    B+
    the night
    By dangerG/attxGsaved
    High danger3/31.9-1.1
    Medium1/50.4-0.6
    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

    P. Grubauer
    SEA · 32/33 · .970
    +2.9
    saved above expected
    A+
    the night
    By dangerG/attxGsaved
    High danger0/61.4+1.4
    Medium1/161.7+0.7
    Low0/450.8+0.8

    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

    76 shots · press play to watch the game back

    Where the shots came from

    NHL play-by-play coordinates
    PHI
    50 shots
    1
    Final
    76 shots
    SEA
    26 shots
    4
    PHI attackSEA attack
    PHI SEA Goal

    Each club shoots toward its own end — PHI 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
    E. Tolvanen
    #20 · R · SEA
    2 G · 1 A · 4 SOG · 17:58 on ice · +3
    C. Stephenson
    #9 · C · SEA
    1 G · 1 A · 1 SOG · 17:56 on ice · +3
    M. Beniers
    #10 · C · SEA
    0 G · 1 A · 1 SOG · 17:08 on ice · +1
    Ranked from the box score — points first · Backcheck
    What the model said beforehand

    Before the game

    Written Sun, Dec 28
    Open the pre-game read
    Written from the numbers

    The read

    Edited for clarity
    ◆ By the ModelJul 11, 10:31 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 2.4–2.3 Flyers victory with Philadelphia at 52% win probability. This is about as close to a pick'em as you'll find—a genuine toss-up with no clear edge.

    Philadelphia's advantage lies in possession. The Flyers own 51.0% expected goals at 5v5 compared to Seattle's 46.0%, and their Corsi split widens the gap slightly—48.0% to 45.0%. That's real underlying dominance. Both teams post suspicious PDO numbers (Philadelphia 1.008, Seattle 1.011), suggesting some regression risk, but the xG advantage is structural, not luck.

    Seattle's recent form tells the story. Over their last 10 games, the Kraken sit at -6 goal differential—they're underwater, and it shows. They'll need to steal this one on goaltending or a fortuitous bounce.

    Philadelphia's scoring punch centers on Owen Tippett and Christian Dvorak. Tippett leads at 0.88 xG per 60 minutes with 19 goals and 18 assists, shooting 12.1% with 2 high-danger goals. Dvorak trails slightly at 0.81 xG/60 but has been more productive, posting 12 goals and 21 assists at 11.2% shooting. Both have the volume to swing the game.

    Seattle counters with Shane Wright and Berkly Catton. Wright operates at 0.77 xG/60 with 8 goals and 10 assists, shooting 10.4% with 4 high-danger chances. Catton, at 0.68 xG/60, has recorded 6 goals and 8 assists at 8.8% shooting with 5 high-danger chances. Neither has the volume Tippett and Dvorak generate, but Catton's high-danger shot rate suggests he creates dangerous looks.

    The model sees almost no separation. Philadelphia's superior 5v5 play should matter, but possession dominance doesn't guarantee goals. If the Flyers' underlying advantage translates to even a single goal, they should pull it out. If Seattle's recent slump continues, this becomes a defensive stalemate favoring Philadelphia's depth.

    That 52% number? It's a margin of confidence so narrow it rounds to a coin flip. The Flyers have the better claim, but pick Seattle and you've got a reasonable position too.

    What the model said beforehand

    The model's lean

    PHI 52%
    52%
    PHI
    Model favorite
    52%
    48%
    PHI50SEA

    PHI by 4 points of win probability — effectively a coin flip. Projected score PHI 2.4–2.3 SEA; 19% 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
    PHI← edge
    edge →SEA
    51.0%46.0%
    48.0%45.0%
    2.262.13
    2.202.51
    1.961.87
    1.821.95
    1.0081.011

    PHI holds 6 of 6 process categories — and the luck row (1.008 vs 1.011) says SEA has been getting the bounces, which tends not to last.

    Source · NHL stats API + our xG · 5v5
    Form · Last 10
    PHI
    4-2-4
    +4 GD · 4d rest
    SEA
    4-6-0
    -6 GD · 4d rest
    1.008
    PHI 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 Flyers own the underlying play — 51.0% 5v5 xG vs 46.0%.
    Things to watch
    • The Flyers own the underlying play — 51.0% 5v5 xG vs 46.0%.
    • The Kraken are underwater at -6 goal differential over their last 10.
    Last game's lineup · confirmed at warm-up

    Lineups

    NHL box score
    PHI
    Expected in goal
    S. Ersson
    4 days rest.952 last start
    Backup Dan Vladar · +13.8 GSAx this season

    No completed game on file for this club yet.

    SEA
    Expected in goal
    J. Daccord
    4 days rest.946 last start
    Backup Joey Daccord · -6.2 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
    PHI
    Owen Tippett19G 18A
    0.88 xG/60 · 2 HD · 12.1% sh
    Christian Dvorak12G 21A
    0.81 xG/60 · 3 HD · 11.2% 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