Motion-blurred skater in a Utah Mammoth sweater
Breakdown · BOS at UTA

Utah run the Bruins off the ice on the underlying numbers

The verdict · earned

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

BOS 2 · UTA 3
◆ By the ModelJun 16, 3:12 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

Utah's 3-2 win masked something closer to a rout: they generated eight high-danger chances to Boston's two, a 4-to-1 dominance that made the one-goal margin almost arbitrary. The underlying control looked even starker—Utah owned 66% of expected goals at 5v5, 3.96 to 2.08.

This wasn't a case of Utah getting lucky. They outshot Boston on quality, generating 0.067 expected goals per attempt versus Boston's 0.039. Boston created higher-leverage chances than their shot count suggested, but Utah simply generated far more of them and converted at a better rate.

Utah's forward pressure paid off in two areas. They scored twice on 20 rush chances—a 10% rush conversion rate that reflects crisp breakout execution. They also generated six rebound chances and capitalized on one, showing the kind of net-front discipline that wins tight games played in front of the goal line.

Boston managed three rebound opportunities but converted zero, a small but meaningful gap in the dirty-work department. V. Vanecek (UTA) stopped 24 of 26 shots at 0.923 save percentage—solid performance on expected volume. J. Korpisalo (BOS) made 24 saves on 27 attempts, a 0.889 mark, though he faced tougher shot quality overall.

Utah's only blemish: they underperformed their xG by 0.96 goals, meaning the margin could have been wider if finishing had matched their chance creation. The turning point came on Dylan Guenther's slap shot from the high slot at 10:37 of the third, which broke a 2-2 tie.

Three Stars:

  • N. Schmaltz (UTA) — 2A in 22:50
  • D. Pastrnak (BOS) — 2G in 22:10
  • C. Keller (UTA) — 1G, 1A in 19:08
The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Oct 19
BOS
2
UTA
3

Utah run the Bruins off the ice on the underlying numbers

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

The Mammoth earned this one.

Expected goals · chance value
BOS
2.08
UTA
3.96
35% of the chances66%

The board read BOS 2, UTA 3. The chances read BOS 2.1, UTA 4.0.

Our xG model · NHL play-by-play · all situations
Luck check
UTA
−1.0
goals above expected
UTA3.96 expected · 3 scored
Expected
Scored
BOS2.08 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 04:20UTAL. CooleyPP0–1
  2. P1 14:38BOSD. PastrnakPP1–1
  3. P2 05:46BOSD. Pastrnak2–1
  4. P2 15:57UTAC. Keller2–2
  5. P3 10:37UTAD. Guenther2–3
NHL play-by-play · chance value from our xG model
Where the shots came from
BOS
32 shots
2
Final
72 shots
UTA
40 shots
3
BOS attackUTA attack
BOS UTA Goal
32
shots · 2 in
40
shots · 3 in
Every unblocked shot · press play to replay it
Chances by danger
BOSUTA
2 / 2
0.40 xG
High danger
1 / 8
2.04 xG
0 / 11
1.23 xG
Medium
1 / 14
1.53 xG
0 / 41
0.45 xG
Low
1 / 37
0.40 xG

High-danger looks: BOS 2 of 2, UTA 1 of 8.

Danger tiers by our xG model · high ≥ 20% chance
In the net
B+
J. Korpisalo
+1.0
BOS · 24/27
C
V. Vanecek
+0.1
UTA · 24/26
The numbers, checked
BACKCHECK

Utah run the Bruins 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 10–11
  1. 04:20UTAL. Cooleypower play(N. Schmaltz, C. Keller)0–1
  2. 14:38BOSD. Pastrnakpower play(P. Zacha, C. McAvoy)1–1
2ndshots 13–8
  1. 05:46BOSD. Pastrnak(M. Khusnutdinov)2–1
  2. 15:57UTAC. Keller(N. Schmaltz, I. Cole)2–2
3rdshots 3–8
  1. 10:37UTAD. Guenther(J. Peterka)2–3

score reads BOS–UTA

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

The numbers

XGBoost xG · NHL play-by-play
3.96
UTA chances
Goals their shots were worth
−1.0
Finishing
Goals below what those chances were worth
1.014
UTA puck luck
About 1.000 — a normal night for bounces
52.2%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

2.08Expected goals3.96
UTA 66% of the chance quality
26Shots on goal27
2High-danger chances8
54All attempts (Corsi)59
Adjusted for score: BOS 48% · UTA 52%
Faceoffs · UTA won55%off44%neu24%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
BOS2 / 2 · 0.40 xG
UTA1 / 8 · 2.04 xG
Medium dangermid-range
BOS0 / 11 · 1.23 xG
UTA1 / 14 · 1.53 xG
Low dangerperimeter & point
BOS0 / 41 · 0.45 xG
UTA1 / 37 · 0.40 xG

BOS went 2-for-2 from high danger on 0.40 expected goals — 1.6 above expected.

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

Finishing vs expected

expectedactual
BOS
2 G · 2.08 xG · -0.1
UTA
3 G · 3.96 xG · -1.0
012345

BOS finished -0.1 against expected, UTA -1.0.

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

Shot diet

goalsshots
BOS
SNAP1/19
WRIST1/7
SLAP0/3
DEFLECTED0/2
TIP IN0/1
BACKHAND0/0
BETWEEN LEGS0/0
OTHER0/22
UTA
SNAP1/22
WRIST0/6
SLAP1/7
DEFLECTED1/2
TIP IN0/1
BACKHAND0/1
BETWEEN LEGS0/1
OTHER0/19
BOS
UTA
Off the rush
1 G on 20
1.51 xG
2 G on 20
2.31 xG
Off rebounds
0 G on 3
0.21 xG
1 G on 6
1.05 xG

Snap shots carried the volume: BOS went 1-for-19, UTA 1-for-22. UTA 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
J. Korpisalo
BOS · 24/27 · .889
+1.0
saved above expected
B+
the night
By dangerG/attxGsaved
High danger1/82.0+1.0
Medium1/141.5+0.5
Low1/370.4-0.6

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

V. Vanecek
UTA · 24/26 · .923
+0.1
saved above expected
C
the night
By dangerG/attxGsaved
High danger2/20.4-1.6
Medium0/111.2+1.2
Low0/410.5+0.5

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

72 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
BOS
32 shots
2
Final
72 shots
UTA
40 shots
3
BOS attackUTA attack
BOS UTA Goal

Each club shoots toward its own end — BOS left, UTA 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. Schmaltz
#8 · C · UTA
0 G · 2 A · 1 SOG · 22:50 on ice
D. Pastrnak
#88 · R · BOS
2 G · 0 A · 5 SOG · 22:10 on ice
C. Keller
#9 · R · UTA
1 G · 1 A · 2 SOG · 19:08 on ice
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Sun, Oct 19
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJun 16, 3:12 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

Utah's underlying edges are real. The model projects a 2.4–2.8 game with Utah at 57% win probability, and that lean reflects Utah's actual play advantage.

Utah controls the play at every level. At 52.0% expected goals versus Boston's 47.0%, Utah generates superior scoring chances. That edge extends to possession: Utah's 53.0% Corsi dominates Boston's 49.0%. These aren't massive margins, but they're consistent—Utah is simply the better team.

Boston, however, has been playing above talent. Their 1.023 PDO sits well above sustainable; they're converting chances at an unsustainable rate. Utah's 1.003 hovers at expectation. When Boston's hot hand regresses—and it will—Utah's edges widen.

In net, K. Vejmelka starts on back-to-back rest. A backup start remains possible. Either way, fatigue is Utah's tactical advantage.

Utah's attack hinges on Dylan Guenther staying dangerous. He generates 1.02 expected goals per 60 and has scored 28 goals on 16.8% shooting—elite conversion. His three high-danger goals suggest earned volume, not variance. Daniil But warrants attention too; at 1.01 xG/60 with just two goals on 5.6% shooting, he's been unlucky. Regression favors his next stretch.

Boston's best shot runs through Viktor Arvidsson. He operates at 1.04 xG/60, the team's highest rate, with 18 goals and 24 assists on 13.0% shooting. Mark Kastelic's 0.89 xG/60 and 10 goals provide secondary scoring; his three high-danger goals mean he can hurt you even at lower volume.

Defensively, Boston's Elias Lindholm is exposed; for Utah, Maveric Lamoureux bears watching as a turnover risk. Those mistakes compound.

Utah owns this matchup on talent and timing. Boston's PDO is the ticking clock: when hot play regresses, Utah's edges widen past model expectation.

Three Things to Watch

  • Utah dominates 5v5 play at 52.0% expected goals to Boston's 47.0%, controlling territory at 53.0% Corsi.
  • Boston's 1.023 PDO signals regression; Utah's 1.003 sits near sustainable rates, validating the model's 57% lean.
  • K. Vejmelka faces back-to-back rest—fatigue or a backup start becomes Utah's tactical edge.

Data: MoneyPuck 5v5 models, NHL API

What the model said beforehand

The model's lean

UTA 57%
57%
UTA
Model favorite
43%
57%
BOS50UTA

UTA by 14 points of win probability — a modest lean. Projected score BOS 2.4–2.8 UTA; 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
BOS← edge
edge →UTA
47.0%52.0%
49.0%53.0%
2.392.64
2.672.39
2.222.26
1.821.99
1.0231.003

UTA holds 5 of 6 process categories — and the luck row (1.023 vs 1.003) says BOS has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · Last 10
BOS
7-2-1
+9 GD · 2d rest
UTA
5-4-1
-1 GD · 1d rest
1.023
BOS PDO
Luck gauge · drifts to 1.000
1.003
UTA PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Where the edges live
  • UTA owns the underlying play — 52.0% 5v5 xG vs 47.0%.
  • UTA drives Corsi at 53.0% — expect territorial tilt.
Regression watch
  • BOS PDO is 1.023 — running hot, expect some regression.
Things to watch
  • UTA owns the underlying play — 52.0% 5v5 xG vs 47.0%.
  • UTA drives Corsi at 53.0% — expect territorial tilt.
  • K. Vejmelka is on a back-to-back — watch for a backup start or a tired starter.
  • BOS PDO is 1.023 — running hot, expect some regression.
Last game's lineup · confirmed at warm-up

Lineups

NHL box score
BOS
Expected in goal
J. Swayman
2 days rest.838 last start
Backup Jeremy Swayman · +28.8 GSAx this season

No completed game on file for this club yet.

UTA
Expected in goal
K. Vejmelka
back-to-back.857 last start
Backup Karel Vejmelka · +6.9 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.

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
BOS
Viktor Arvidsson18G 24A
1.04 xG/60 · 2 HD · 13.0% sh
Mark Kastelic10G 7A
0.89 xG/60 · 3 HD · 12.0% sh
UTA
Dylan Guenther28G 15A
1.02 xG/60 · 3 HD · 16.8% sh
Daniil But2G 2A
1.01 xG/60 · 1 HD · 5.6% sh
Keep going

Where to next