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

Mammoth pull away from the Wild

The verdict · earned

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

MIN 2 · UTA 5
◆ By the ModelJul 12, 4:44 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 Mammoth beat the Wild 5-2, but Minnesota underperformed its expected goals by 1.34 — the goaltending split was the game.

Utah controlled play decisively: 4.78 expected goals to Minnesota's 3.34, a 59-41 split. K. Vejmelka made 21 of 23 shots at 0.913, stopping 1.34 goals above expected. J. Wallstedt faced 32 of 37 at 0.865, meaning Minnesota's scoreline understated how close they actually were.

Where Utah won: rush efficiency. The Mammoth scored 4 goals on 30 rush attempts while Minnesota converted just 2 on the same volume — a two-goal variance on identical opportunity counts. High-danger chances reflected the gap more accurately: Utah 8, Minnesota 5. In that zone, Minnesota was clinical — 40% conversion rate on 5 attempts. But Utah's net-crashing worked: they generated 5 rebound opportunities and converted 1, keeping Minnesota's defense scrambling.

C. Keller led Utah's attack with 1 goal and 2 assists in 16:41. M. Sergachev's 2 assists in 25:05 set the tone from the point. M. Boldy had 1 goal and 1 assist for Minnesota despite the loss.

The underlying metrics told the story before the final horn: Utah was better, but not 5-2 better. K. Vejmelka's confidence in the crease and Minnesota's inability to finish separated a competitive game from a blowout.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Feb 27
MIN
2
UTA
5

Mammoth pull away from the Wild

Chances 3.3 – 4.8Did they deserve it? →
Did they deserve it?

The Mammoth earned this one.

Expected goals · chance value
MIN
3.34
UTA
4.78
41% of the chances59%

The board read MIN 2, UTA 5. The chances read MIN 3.3, UTA 4.8.

Our xG model · NHL play-by-play · all situations
Luck check
UTA
+0.2
goals above expected
UTA4.78 expected · 5 scored
Expected
Scored
MIN3.34 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 13:23UTAL. CooleySH0–1
  2. P2 04:26UTAC. Keller0–2
  3. P2 07:49UTAL. Crouse0–3
  4. P2 14:03MINK. KaprizovPP1–3
  5. P3 01:19UTAB. HaytonPP1–4
  6. P3 12:48UTAL. Crouse1–5
  7. P3 14:05MINM. Boldy2–5
NHL play-by-play · chance value from our xG model
Where the shots came from
MIN
37 shots
2
Final
88 shots
UTA
51 shots
5
MIN attackUTA attack
MIN UTA Goal
37
shots · 2 in
51
shots · 5 in
Every unblocked shot · press play to replay it
Chances by danger
MINUTA
2 / 5
1.15 xG
High danger
2 / 8
1.96 xG
0 / 17
1.79 xG
Medium
3 / 22
2.36 xG
0 / 26
0.40 xG
Low
0 / 42
0.46 xG

The Mammoth buried 2 of 8 high-danger looks.

Danger tiers by our xG model · high ≥ 20% chance
In the net
B+
K. Vejmelka
+1.3
UTA · 21/23
C
J. Wallstedt
−0.2
MIN · 32/37
The numbers, checked
BACKCHECK

Mammoth pull away from the Wild

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 6–15
  1. 13:23UTAL. Cooleyshorthanded(J. McBain, M. Sergachev)0–1
2ndshots 8–10
  1. 04:26UTAC. Keller(N. Schmaltz)0–2
  2. 07:49UTAL. Crouse(C. Keller, N. Schmaltz)0–3
  3. 14:03MINK. Kaprizovpower play(M. Boldy, M. Zuccarello)1–3
3rdshots 9–12
  1. 01:19UTAB. Haytonpower play(M. Sergachev, C. Keller)1–4
  2. 12:48UTAL. Crouse(S. Durzi, J. McBain)1–5
  3. 14:05MINM. Boldy(V. Tarasenko, M. Johansson)2–5

score reads MIN–UTA

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

The numbers

XGBoost xG · NHL play-by-play
4.78
UTA chances
Goals their shots were worth
+0.2
Finishing
Goals above what those chances were worth
1.028
UTA puck luck
Above 1.000 — the bounces went their way
60.0%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

3.34Expected goals4.78
UTA 59% of the chance quality
23Shots on goal37
5High-danger chances8
48All attempts (Corsi)72
Adjusted for score: MIN 45% · UTA 55%
Faceoffs · UTA won53%off67%neu39%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MIN2 / 5 · 1.15 xG
UTA2 / 8 · 1.96 xG
Medium dangermid-range
MIN0 / 17 · 1.79 xG
UTA3 / 22 · 2.36 xG
Low dangerperimeter & point
MIN0 / 26 · 0.40 xG
UTA0 / 42 · 0.46 xG

MIN went 0-for-17 from medium danger on 1.79 expected goals — 1.8 left on the table.

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

Finishing vs expected

expectedactual
MIN
2 G · 3.34 xG · -1.3
UTA
5 G · 4.78 xG · +0.2
0123456

MIN finished -1.3 against expected, UTA +0.2.

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

Shot diet

goalsshots
MIN
SNAP0/17
SLAP0/4
BACKHAND0/7
WRIST2/5
TIP IN0/3
BAT0/1
DEFLECTED0/0
OTHER0/11
UTA
SNAP1/20
SLAP1/14
BACKHAND1/5
WRIST1/6
TIP IN1/5
BAT0/0
DEFLECTED0/1
OTHER0/21
MIN
UTA
Off the rush
2 G on 30
2.94 xG
4 G on 30
2.64 xG
Off rebounds
0 G on 1
0.12 xG
1 G on 5
0.79 xG

Snap shots carried the volume: MIN went 0-for-17, UTA 1-for-20. UTA 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
J. Wallstedt
MIN · 32/37 · .865
-0.2
saved above expected
C
the night
By dangerG/attxGsaved
High danger2/82.0-0.0
Medium3/222.4-0.6
Low0/420.5+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

K. Vejmelka
UTA · 21/23 · .913
+1.3
saved above expected
B+
the night
By dangerG/attxGsaved
High danger2/51.1-0.8
Medium0/171.8+1.8
Low0/260.4+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

88 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
MIN
37 shots
2
Final
88 shots
UTA
51 shots
5
MIN attackUTA attack
MIN UTA Goal

Each club shoots toward its own end — MIN 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
C. Keller
#9 · R · UTA
1 G · 2 A · 2 SOG · 16:41 on ice · +1
M. Sergachev
#98 · D · UTA
0 G · 2 A · 5 SOG · 25:05 on ice · +2
M. Boldy
#12 · L · MIN
1 G · 1 A · 7 SOG · 17:41 on ice · +1
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Fri, Feb 27
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 12, 4:43 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 Minnesota at 2.5 expected goals and Utah at 2.6, giving the Mammoth 53% win probability. This is about as even as it gets.

Minnesota arrives hot: the Wild are 8-1-1 in their last ten. But Utah owns identical expected-goals territory at 5v5 (52.0% xG% apiece) and controls possession at 53.0% Corsi against Minnesota's 48.0%. Both teams sit at healthy PDOs—Minnesota 1.007, Utah 1.003—suggesting neither is due for regression.

Utah has the rest advantage: one day between games versus Minnesota's 22 days off. Watch K. Vejmelka on the back-to-back; he may start on empty or see a backup.

Dylan Guenther leads Utah's attack: 1.02 expected goals per 60 at 5v5, 28 goals, 15 assists, 3 high-danger goals, and 16.8% shooting. Daniil But (1.01 xG/60, 2 goals, 2 assists, 1 high-danger goal, 5.6% shooting) provides secondary punch. Minnesota counters with Matt Boldy—0.89 xG/60, 22 goals, 18 assists, 5 high-danger goals, 13.7% shooting—and Robby Fabbri (0.88 xG/60, 2 goals, 3 assists, 1 high-danger goal, 6.9% shooting), though Fabbri is marked inactive.

Utah's possession advantage should translate to more scoring chances, yet the model barely favors them. Minnesota's depth limits what looks like Utah's territorial edge.

Utah's defensive liability is Maveric Lamoureux; Minnesota's is Matt Kiersted. Neither weakness tilts a matchup this close.

What the model said beforehand

The model's lean

UTA 53%
53%
UTA
Model favorite
47%
53%
MIN50UTA

UTA by 6 points of win probability — a modest lean. Projected score MIN 2.5–2.6 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
MIN← edge
edge →UTA
52.0%52.0%
48.0%53.0%
2.552.64
2.402.39
2.042.26
1.931.99
1.0071.003

UTA holds 5 of 6 process categories — and the luck row (1.007 vs 1.003) says MIN has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · Last 10
MIN
8-1-1
+13 GD · 22d rest
UTA
6-4-0
+9 GD · 1d rest
1.007
MIN 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
  • The Mammoth drive Corsi at 53.0% — expect territorial tilt.
Things to watch
  • The Mammoth drive Corsi at 53.0% — expect territorial tilt.
  • K. Vejmelka is on a back-to-back — watch for a backup start or a tired starter.
  • The Wild are the hotter team by points pace (8-1-1 in their last 10).
  • The Wild have 21 more days of rest.
Last game's lineup · confirmed at warm-up

Lineups

NHL box score
MIN
Expected in goal
F. Gustavsson
22 days rest.857 last start
Backup Filip Gustavsson · +1.4 GSAx this season

No completed game on file for this club yet.

UTA
Expected in goal
K. Vejmelka
back-to-back.846 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
MIN
Matt Boldy22G 18A
0.89 xG/60 · 5 HD · 13.7% sh
Robby Fabbri2G 3A
0.88 xG/60 · 1 HD · 6.9% 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