Backcheck
Recap · MIN at STL

Blues pull away from the Wild

The Blues won a genuine coin flip — neither side controlled the run of play.

By the ModelJul 12, 11:49 AMxG: xgboost-0.758Edited for clarity
Away
MIN
Minnesota Wild
3
Home
STL
St. Louis Blues
6
FINAL
Process vs result

The underlying story

4.47Expected goals4.21
52% share for the better side
31Shot attempts (SOG)22
6High-danger chances8
53Corsi (all attempts)46
Score-adjusted: 56% / 44%
Source · NHL play-by-play · XGBoost xG

The Blues' 6-3 win masked the underlying play. Expected goals told the truer story: the Wild had the slight edge (4.47 to 4.21), yet walked out empty. The Blues' decisive margin came not from dominance but from execution—goaltending and shot placement overrode nearly equal play.

J. Hofer was the difference. He stopped 28 of 31 shots (0.903 SV%) and ran 1.47 goals above expected. F. Gustavsson faced 21 shots and stopped 16 (0.762 SV%), underperforming expectation by 0.79 goals. Against the run of play, one goalie heisted a win that xG didn't gift them.

The Blues' edge came in tight spaces and rush timing. They converted 4 of 8 high-danger chances (50%), while the Wild had six such opportunities. On the rush, both teams struck: the Blues 4 goals on 26 chances, the Wild 2 on 27. The variance in conversion rates—not in volume—separated them.

The turning point arrived in the first period. Jimmy Snuggerud's wrist shot from the high slot (P3, 16:56) gave the Blues an early lead they never surrendered. Behind that moment lay the real contest: not who hemmed whom in the offensive zone, but who converted.

Rebound chaos hurt both sides—the Blues created four rebound opportunities without converting any; the Wild created five, equally fruitless. Neither team cashed the chaotic chances, which meant discipline and positioning (or luck) determined the outcome more than second-chance clutter.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MIN2 / 6 · 1.56 xG
STL4 / 8 · 2.52 xG
Medium dangermid-range
MIN1 / 20 · 2.56 xG
STL1 / 11 · 1.24 xG
Low dangerperimeter & point
MIN0 / 27 · 0.35 xG
STL1 / 27 · 0.46 xG

MIN went 1-for-20 from medium danger on 2.56 expected goals — 1.6 left on the table.

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

Finishing vs expected

expectedactual
MIN
3 G · 4.47 xG · -1.5
STL
6 G · 4.21 xG · +1.8
01234567
Goalies · GSAx (goals saved above expected)
F. GustavssonMIN
-0.8
J. HoferSTL
+1.5

MIN finished -1.5 against expected, STL +1.8 — J. Hofer (STL) saved 1.5 goals above expected.

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

Shot diet

goalsshots
MIN
WRIST2/25
SNAP0/8
SLAP0/3
BACKHAND1/5
TIP IN0/3
POKE0/1
OTHER0/8
STL
WRIST1/16
SNAP3/12
SLAP1/5
BACKHAND1/3
TIP IN0/0
POKE0/0
OTHER0/10
MIN
STL
Off the rush
2 G on 27 · 2.54 xG
4 G on 26 · 2.75 xG
Off rebounds
0 G on 5 · 1.15 xG
0 G on 4 · 0.59 xG

Wrist shots carried the volume: MIN went 2-for-25, STL 1-for-16. STL scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
N. Foligno
#71 · L · MIN
1 G · 1 A · 2 SOG · 17:17 TOI · +1
J. Snuggerud
#21 · R · STL
1 G · 1 A · 2 SOG · 15:44 TOI · +1
V. Tarasenko
#91 · R · MIN
0 G · 1 A · 2 SOG · 19:37 TOI · -2
Ranked from the box score — points first · Backcheck
What the model flagged
  • J. Hofer (STL) stopped 1.5 goals above expected.
  • STL was clinical in the high-danger zone — 4/8 on HD chances (50%).
  • STL was lethal off the rush — 4 goals on 26 rush chances.
  • MIN was lethal off the rush — 2 goals on 27 rush chances.
  • STL created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • MIN created 5 rebound opportunities (0 converted) — crashing the net effectively.
  • STL outperformed their expected goals by 1.8 — elite finishing or lucky bounces.
Before the game — the model's pre-game read
Preview · MIN at STL · 8:00 PM ET

Wild at Blues: a genuine coin flip

By the ModelJul 12, 11:31 AMEdited for clarity
Win probability

The model's lean

50%
STL
Model favorite
50%
50%
MIN50STL

STL by 0 points of win probability — effectively a coin flip. Projected score MIN 2.52.5 STL; 18% chance it's tied after 60.

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

Tale of the tape

MIN← edge
edge →STL
52.0%5v5 xG%49.0%
48.0%Corsi%48.0%
2.55xGF / 602.34
2.40xGA / 602.40
2.04Goals for / gm2.00
1.93Goals against / gm2.12
1.007PDO — luck, not skill1.000

MIN holds 5 of 6 process categories — and PDO (1.007 vs 1.000) says MIN has run hotter.

Source · MoneyPuck season tables · 5v5

The model calls this pick'em: Minnesota and St. Louis project to split the difference at 2.5-2.5, with the Blues at 50% win probability. That's as close to a coin flip as your models will generate.

Minnesota owns the underlying play by a hair. The Wild are generating 52.0% of 5v5 expected goals, while St. Louis manages 49.0%—a modest advantage that translates to shot quality over the course of sixty minutes. Corsi rates are dead even at 48.0% apiece, suggesting neither team dominates puck possession. St. Louis' PDO sits at 1.000, suggesting neutral luck; Minnesota's at 1.007, indicating they've been slightly fortunate, though not egregiously so.

The Wild's forward depth centers on Matt Boldy, who has posted 0.89 xG per 60 minutes with 22 goals and 18 assists, plus 5 high-danger chances. His 13.7% shooting rate suggests room for regression, though elite shot quality provides the foundation. Robby Fabbri (0.88 xG/60) is likely out, removing a low-volume threat (2 goals, 6.9% shooting despite the strong underlying rate).

St. Louis counters with two dangerous forwards. Jimmy Snuggerud operates at 0.86 xG per 60 with 15 goals and 22 assists, plus 2 high-danger chances. Dylan Holloway brings 0.82 xG per 60, 13 goals, 24 assists, and a modest 10.8% shooting rate, meaning he's primed to finish more efficiently if he gets the same opportunities.

Both teams are mired in an eerie statistical quirk: 0% conversion on high-danger chances and 0% on rebound goals. That's not a sustainable feature—one or both will regress toward league norms, potentially swinging the game. Both have defensive vulnerabilities: Matt Kiersted for Minnesota, Jimmy Snuggerud for St. Louis.

Neither team owns a clear statistical edge. This is what a genuine coin flip looks like.

Computed danger · scouting

Players to watch

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
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
Source · MoneyPuck skaters