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

Capitals run the Penguins off the ice on the underlying numbers

The verdict · earned

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

WSH 6 · PIT 3
◆ By the ModelJul 12, 11:22 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

The Capitals rolled past the Penguins 6-3. The underlying metrics reveal more than a lopsided scoreline: they controlled 62% of 5v5 expected goals (3.76–2.26) and finished with ruthless efficiency, outperforming their xG by 2.24 goals.

Pittsburgh's collapse began in the neutral zone. The Penguins held just 26% of shot attempts (11–32 on goal), a structural deficit that cascaded into the shot-quality fight. Expected goals split 38–62%, matching the attempt differential. High-danger chances broke even at 5–5, but Washington converted four of them—80%—while Pittsburgh had to settle for an even split despite generating from higher-leverage positions.

The goaltending numbers tell a harsher story. A. Silovs for Pittsburgh surrendered 1.24 goals more than expected; L. Thompson for Washington surrendered 0.74 more. Both underperformed, yet Washington still won by three. That gap—Pittsburgh's deeper goaltending failure—is the real margin of victory.

Washington's rush efficiency was no afterthought: 3 goals on 26 rush chances, the same conversion rate Pittsburgh managed on 17 chances. Pittsburgh's efficiency off the rush mattered less when starved for the kind of sustained possession that creates those opportunities.

The turning point came when Alex Ovechkin struck from the wing (P3, 16:22)—a moment that crystallized Washington's ability to convert their structural advantage into goals. The Capitals didn't just outwork the Penguins; they outscored them by more than the underlying play suggested they should.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Apr 11
WSH
6
PIT
3

Capitals run the Penguins off the ice on the underlying numbers

Chances 3.8 – 2.3Did they deserve it? →
Did they deserve it?

The Capitals earned this one.

Expected goals · chance value
WSH
3.76
PIT
2.26
63% of the chances38%

The board read WSH 6, PIT 3. The chances read WSH 3.8, PIT 2.3.

Our xG model · NHL play-by-play · all situations
Luck check
WSH
+2.2
goals above expected
WSH3.76 expected · 6 scored
Expected
Scored
PIT2.26 expected · 3 scored
Expected
Scored

The Capitals scored 2.2 more than their chances were worth. That does not repeat.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P2 01:39WSHA. Protas1–0
  2. P2 02:05PITA. Mantha1–1
  3. P2 06:02WSHR. Leonard2–1
  4. P2 08:08WSHT. Wilson3–1
  5. P2 11:47PITN. Acciari3–2
  6. P2 11:58WSHR. Leonard4–2
  7. P2 16:50PITK. Hayes4–3
+2 more on the full breakdown
NHL play-by-play · chance value from our xG model
Where the shots came from
WSH
48 shots
6
Final
75 shots
PIT
27 shots
3
WSH attackPIT attack
WSH PIT Goal
48
shots · 6 in
27
shots · 3 in
Every unblocked shot · press play to replay it
Chances by danger
WSHPIT
4 / 5
1.35 xG
High danger
1 / 5
1.13 xG
2 / 14
1.73 xG
Medium
1 / 7
0.82 xG
0 / 49
0.69 xG
Low
1 / 30
0.31 xG

The Capitals buried 4 of 5 high-danger looks.

Danger tiers by our xG model · high ≥ 20% chance
In the net
D
L. Thompson
−0.7
WSH · 8/11
D-
A. Silovs
−1.2
PIT · 26/31
The numbers, checked
BACKCHECK

Capitals run the Penguins 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 11–1no goals
    2ndshots 14–6
    1. 01:39WSHA. Protas(I. Protas)1–0
    2. 02:05PITA. Mantha(R. Shea, T. Novak)1–1
    3. 06:02WSHR. Leonard(P. Dubois, C. McMichael)2–1
    4. 08:08WSHT. Wilson(I. Protas, A. Protas)3–1
    5. 11:47PITN. Acciari(E. Soderblom, S. Girard)3–2
    6. 11:58WSHR. Leonard(C. Hutson, J. Sourdif)4–2
    7. 16:50PITK. Hayes(R. Shea)4–3
    3rdshots 7–4
    1. 05:56WSHI. Protaspower play(C. Hutson, D. Strome)5–3
    2. 16:22WSHA. Ovechkinempty net(T. Wilson)6–3

    score reads WSH–PIT

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

    The numbers

    XGBoost xG · NHL play-by-play
    3.76
    WSH chances
    Goals their shots were worth
    +2.2
    Finishing
    Goals above what those chances were worth
    1.017
    WSH puck luck
    About 1.000 — a normal night for bounces
    61.8%
    Shot attempts
    Over half — they had the puck more
    Split by club

    Who controlled the game

    3.76Expected goals2.26
    WSH 63% of the chance quality
    32Shots on goal11
    5High-danger chances5
    68All attempts (Corsi)42
    Adjusted for score: WSH 58% · PIT 42%
    Faceoffs · PIT won35%off44%neu67%def
    Source · NHL play-by-play · XGBoost xG
    How the game was won

    The danger ladder

    shotsgoalsexpected
    High dangerslot & crease
    WSH4 / 5 · 1.35 xG
    PIT1 / 5 · 1.13 xG
    Medium dangermid-range
    WSH2 / 14 · 1.73 xG
    PIT1 / 7 · 0.82 xG
    Low dangerperimeter & point
    WSH0 / 49 · 0.69 xG
    PIT1 / 30 · 0.31 xG

    WSH went 4-for-5 from high danger on 1.35 expected goals — 2.6 above expected.

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

    Finishing vs expected

    expectedactual
    WSH
    6 G · 3.76 xG · +2.2
    PIT
    3 G · 2.26 xG · +0.7
    01234567

    WSH finished +2.2 against expected, PIT +0.7.

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

    Shot diet

    goalsshots
    WSH
    WRIST5/33
    TIP IN1/6
    SNAP0/4
    SLAP0/5
    BACKHAND0/0
    WRAP AROUND0/0
    OTHER0/20
    PIT
    WRIST3/20
    TIP IN0/4
    SNAP0/1
    SLAP0/0
    BACKHAND0/1
    WRAP AROUND0/1
    OTHER0/15
    WSH
    PIT
    Off the rush
    3 G on 26
    2.37 xG
    3 G on 17
    1.67 xG
    Off rebounds
    2 G on 3
    0.51 xG
    0 G on 1
    0.17 xG

    Wrist shots carried the volume: WSH went 5-for-33, PIT 3-for-20. WSH scored 3 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. Thompson
    WSH · 8/11 · .727
    -0.7
    saved above expected
    D
    the night
    By dangerG/attxGsaved
    High danger1/51.1+0.1
    Medium1/70.8-0.2
    Low1/300.3-0.7

    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

    A. Silovs
    PIT · 26/31 · .839
    -1.2
    saved above expected
    D-
    the night
    By dangerG/attxGsaved
    High danger4/51.4-2.6
    Medium2/141.7-0.3
    Low0/490.7+0.7

    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

    75 shots · press play to watch the game back

    Where the shots came from

    NHL play-by-play coordinates
    WSH
    48 shots
    6
    Final
    75 shots
    PIT
    27 shots
    3
    WSH attackPIT attack
    WSH PIT Goal

    Each club shoots toward its own end — WSH left, PIT 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
    I. Protas
    #62 · L · WSH
    1 G · 2 A · 3 SOG · 16:06 on ice
    R. Shea
    #5 · D · PIT
    0 G · 2 A · 0 SOG · 25:12 on ice · +3
    C. Hutson
    #44 · D · WSH
    0 G · 2 A · 2 SOG · 19:02 on ice · -1
    Ranked from the box score — points first · Backcheck
    What the model said beforehand

    Before the game

    Written Sat, Apr 11
    Open the pre-game read
    Written from the numbers

    The read

    Edited for clarity
    ◆ By the ModelJul 12, 11:10 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 projects a 2.6–2.8 game with Pittsburgh at 53% win probability. This is as close to a pick'em as hockey forecasting gets.

    Washington and Pittsburgh are separated by nothing in the underlying numbers. The Capitals' expected goals mark sits at 50.0%, barely below Pittsburgh's 51.0%. Corsi tells the same story: 49.0% to 50.0%. Both teams generate offense and suppress it at near-identical rates, which is why Vegas has essentially flipped a coin.

    Where the teams diverge is in fortune. Washington's PDO of 1.018 signals a team running hot on the luck side—more goals than shooting and save percentages suggest they should score. Pittsburgh's 1.012 is closer to neutral, which means regression has already partially arrived for the Capitals; expect more. That's the pregame tell: if either team is vulnerable to a skill-level correction, it's Washington.

    The Capitals will lean on Alex Ovechkin to maintain their offensive edge. At 0.97 expected goals per 60 minutes with 19 goals and 17 assists, Ovechkin is generating chances at a rate that justifies his 13.8% shooting percentage. The question isn't whether he'll shoot—it's whether Pittsburgh's defense can contain him enough to avoid becoming a damage-control exercise. Anthony Beauvillier offers a secondary outlet at 0.89 xG/60, and his 10.4% shooting rate, while lower than Ovechkin's, remains efficient for a second-line forward with 14 goals.

    Pittsburgh's obvious play is Filip Hallander, who leads in raw chance creation at 1.28 xG/60. There's a catch: Hallander is likely unavailable, having been recalled to the NHL roster from his AHL conditioning assignment for further evaluation. His absence removes Pittsburgh's most dangerous creative weapon on the scoresheet—he's registered no goals and three assists. Without him, Rickard Rakell becomes the focal point. Rakell's 1.01 xG/60 keeps him dangerous, and his 13 goals and 13 assists show he converts his chances; his 12.1% shooting percentage is respectable.

    Both defenses have identical holes: zero hard-goal rate and zero rebound-goal rate. Washington's weak link is Declan Chisholm; Pittsburgh's is Caleb Jones. These vulnerabilities won't be spectacular to watch, but they're measurable—a well-executed second-chance system can exploit both.

    When the models, the underlying possession, and the luck factor all point in different directions, you have a game that genuinely could go either way. The Penguins' slight edge in win probability is real but negligible.

    What the model said beforehand

    The model's lean

    PIT 53%
    53%
    PIT
    Model favorite
    47%
    53%
    WSH50PIT

    PIT by 6 points of win probability — a modest lean. Projected score WSH 2.6–2.8 PIT; 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
    WSH← edge
    edge →PIT
    50.0%51.0%
    49.0%50.0%
    2.622.66
    2.622.55
    2.182.45
    1.792.12
    1.0181.012

    PIT holds 5 of 6 process categories — and the luck row (1.018 vs 1.012) says WSH has been getting the bounces, which tends not to last.

    Source · NHL stats API + our xG · 5v5
    Form · Last 10
    WSH
    6-3-1
    +0 GD · 3d rest
    PIT
    6-4-0
    +7 GD · 2d rest
    1.018
    WSH PDO
    Luck gauge · drifts to 1.000
    1.012
    PIT PDO
    Luck gauge · drifts to 1.000
    What decides it

    Keys to the game

    Regression watch
    • The Capitals' PDO is 1.018 — running hot, expect some regression.
    Things to watch
    • The Capitals' PDO is 1.018 — running hot, expect some regression.
    Last game's lineup · confirmed at warm-up

    Lineups

    NHL box score
    WSH
    Expected in goal
    L. Thompson
    3 days rest1.000 last start
    Backup Logan Thompson · +29.3 GSAx this season

    No completed game on file for this club yet.

    PIT
    Expected in goal
    S. Skinner
    2 days rest.905 last start
    Backup Stuart Skinner · +8.3 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
    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
    PIT
    Filip Hallander0G 3A
    1.28 xG/60 · 0 HD · 0.0% sh
    Rickard Rakell13G 13A
    1.01 xG/60 · 3 HD · 12.1% sh
    Keep going

    Where to next