Backcheck
Recap · STL at UTA

K. Vejmelka stands tall as the Mammoth edge the Blues

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

By the ModelJul 12, 12:01 AMxG: xgboost-0.758Edited for clarity
Away
STL
St. Louis Blues
2
Home
UTA
Utah Mammoth
4
FINAL
Process vs result

The underlying story

4.67Expected goals5.68
55% share for the better side
28Shot attempts (SOG)23
9High-danger chances10
65Corsi (all attempts)62
Score-adjusted: 55% / 45%
Source · NHL play-by-play · XGBoost xG

The Mammoth beat the Blues 4–2, but expected goals—5.68 to 4.67—showed St. Louis had generated almost as much quality as Utah. The difference was ruthless: the Blues underperformed their xG by 2.67 goals, nearly twice Utah's 1.68, and went 0 for 9 on high-danger chances.

K. Vejmelka sealed it. The Mammoth goaltender stopped 26 of 28 shots for a 0.929 SV%, posting +2.67 above expected. He was direct and sharp. J. Hofer wasn't the issue for St. Louis—19 saves on 23, a 0.826 SV%, +1.68 above expected—but even strong netminding can't overcome that level of offensive drought on quality chances.

Nick Schmaltz struck the decisive blow at 6:57 of the third, snapping a shot from the high slot into daylight. Schmaltz finished with 2 goals and 1 assist in 23:28. Clayton Keller orchestrated from the wing with 3 assists in 18:09. Lawson Crouse chipped in 1 goal and 1 assist in 18:06.

Utah held 45% of shot attempts and converted when it counted. The high-danger chances were nearly even—Utah 10, St. Louis 9—but Utah's clinical finish on the rush (3 goals on 26 chances) won the game.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
STL0 / 9 · 2.16 xG
UTA3 / 10 · 3.95 xG
Medium dangermid-range
STL1 / 18 · 1.94 xG
UTA0 / 13 · 1.13 xG
Low dangerperimeter & point
STL1 / 38 · 0.57 xG
UTA1 / 39 · 0.61 xG

STL went 0-for-9 from high danger on 2.16 expected goals — 2.2 left on the table.

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

Finishing vs expected

expectedactual
STL
2 G · 4.67 xG · -2.7
UTA
4 G · 5.68 xG · -1.7
0123456
Goalies · GSAx (goals saved above expected)
J. HoferSTL
+1.7
K. VejmelkaUTA
+2.7

STL finished -2.7 against expected, UTA -1.7 — K. Vejmelka (UTA) saved 2.7 goals above expected.

Source · Backcheck xG model
What they shot — and what went in

Shot diet

goalsshots
STL
SNAP1/26
SLAP0/7
TIP IN0/7
WRIST1/5
BACKHAND0/1
BAT0/2
WRAP AROUND0/1
POKE0/0
OTHER0/16
UTA
SNAP4/25
SLAP0/5
TIP IN0/5
WRIST0/4
BACKHAND0/3
BAT0/0
WRAP AROUND0/0
POKE0/1
OTHER0/19
STL
UTA
Off the rush
2 G on 30 · 2.94 xG
3 G on 26 · 2.24 xG
Off rebounds
0 G on 8 · 1.56 xG
1 G on 4 · 0.63 xG

Snap shots carried the volume: STL went 1-for-26, UTA 4-for-25. UTA scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
N. Schmaltz
#8 · C · UTA
2 G · 1 A · 5 SOG · 23:28 TOI · +3
C. Keller
#9 · R · UTA
0 G · 3 A · 4 SOG · 18:09 TOI · +3
L. Crouse
#67 · L · UTA
1 G · 1 A · 1 SOG · 18:06 TOI · +3
Ranked from the box score — points first · Backcheck
What the model flagged
  • STL generated higher-quality looks than the shot total suggests.
  • J. Hofer (STL) stopped 1.7 goals above expected.
  • Open game — 19 high-danger chances combined (UTA 10, STL 9).
  • STL couldn't convert — 0/9 on high-danger chances. That won't happen often.
  • UTA was lethal off the rush — 3 goals on 26 rush chances.
  • STL was lethal off the rush — 2 goals on 30 rush chances.
  • UTA created 4 rebound opportunities (1 converted) — crashing the net effectively.
  • STL created 8 rebound opportunities (0 converted) — crashing the net effectively.
  • UTA underperformed xG by 1.7 — wasted quality chances.
  • STL underperformed xG by 2.7 — wasted quality chances.
  • J. Hofer (STL) saved 1.7 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · STL at UTA · 9:00 PM ET

The Mammoth are the model's lean over the Blues on the underlying numbers

By the ModelJul 12, 12:00 AMEdited for clarity
Win probability

The model's lean

55%
UTA
Model favorite
45%
55%
STL50UTA

UTA by 10 points of win probability — a modest lean. Projected score STL 2.42.6 UTA; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season profile · edge from the spine

Tale of the tape

STL← edge
edge →UTA
49.0%5v5 xG%52.0%
48.0%Corsi%53.0%
2.34xGF / 602.64
2.40xGA / 602.39
2.00Goals for / gm2.26
2.12Goals against / gm1.99
1.000PDO — luck, not skill1.003

UTA holds 6 of 6 process categories — and PDO (1.000 vs 1.003) says UTA has run hotter.

Source · MoneyPuck season tables · 5v5

The Utah Mammoth should beat the St. Louis Blues on the underlying numbers. The model projects a 2.4–2.6 goal Utah win with the Mammoth at 55% win probability.

The evidence starts with dominance in puck possession and shot quality. Utah owns 52.0% 5v5 expected goals against St. Louis's 49.0%—a meaningful edge in how often they generate dangerous chances. They also lead Corsi at 53.0% to 48.0%, which means expect territorial tilt: the Mammoth spend more time in offensive territory.

St. Louis enters already underwater. Over their last 10 games, the Blues sit at -6 goal differential, suggesting their offense and defense haven't clicked together recently. Utah's underlying advantage compounds that weakness.

Jimmy Snuggerud leads St. Louis's effort at 0.86 expected goals per 60 minutes—solid for a winger—but he's also the Blues' defensive liability, a recurring weak point the Mammoth should target. Dylan Holloway pairs with him at 0.82 xG/60 and 10.8% shooting, but neither generates at Utah's top threat's pace.

Dylan Guenther, Utah's primary scorer, operates at 1.02 expected goals per 60, a clear step above Snuggerud. He carries 28 goals with three high-danger chances, marking both volume and efficiency. Daniil But, Utah's secondary threat, sits at 1.01 xG/60 despite just two goals—small-sample noise likely to normalize. His shot quality signals he's due.

Both teams face the same constraint: goaltending on a back-to-back. K. Vejmelka and J. Binnington may see reduced minutes or tired play. Watch for backup starts or sluggish performances.

St. Louis's offensive woes run deeper than recent form. Their 0% high-danger goal rate and 0% rebound goal rate—unusually low in both—suggest they're missing the types of chances that reliably convert. Snuggerud's 11.9% shooting helps mask it, but that won't sustain. Utah's defensive weak link, Maveric Lamoureux, remains a target, but the Mammoth's scoring depth means they'll outscore mistakes.

Utah has the territorial and shot-quality edge, likely fresher goaltending, and a top scorer in Guenther who's both productive and efficient. The Blues' recent cold spell and structural weakness tilt this squarely in the Mammoth's direction.

Computed danger · scouting

Players to watch

STL
Jimmy Snuggerud15G 22A
0.86 xG/60 · 2 HD · 11.9% sh
Dylan Holloway13G 24A
0.82 xG/60 · 1 HD · 10.8% 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
Source · MoneyPuck skaters