Backcheck
Recap · VAN at MIN

Wild run the Canucks off the ice on the underlying numbers

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

By the ModelJul 12, 10:07 AMxG: xgboost-0.758Edited for clarity
Away
VAN
Vancouver Canucks
2
Home
MIN
Minnesota Wild
5
FINAL
Process vs result

The underlying story

3.11Expected goals5.33
63% share for the better side
33Shot attempts (SOG)39
4High-danger chances9
65Corsi (all attempts)65
Score-adjusted: 53% / 47%
Source · NHL play-by-play · XGBoost xG

The Canucks' goalie played well — N. Tolopilo stopped 1.33 goals above expected — yet the game was decided by everything else. Vancouver generated 3.11 expected goals but scored only 2, underperforming by 1.11.

Minnesota's dominance was comprehensive. The Wild held 63% of 5v5 expected goals (5.33–3.11), controlling possession value decisively. They crushed high-danger chances 9–4. More importantly, Minnesota created substantially more dangerous looks: 0.082 expected goals per shot versus Vancouver's 0.048.

The Wild's efficiency closed what their control opened. They scored 4 goals on 34 rush chances, turning chaos into results. F. Gustavsson added 1.11 goals above expected, cementing a clean victory.

The 5-2 scoreline wasn't an outlier — it was the natural endpoint of Minnesota's control. The Wild ran the Canucks off the ice on the metrics that determine outcomes: shot quality, chance creation, and conversion.

Three Stars

  • M. Boldy (MIN) — 2G, 1A in 15:45
  • M. Zuccarello (MIN) — 2A in 20:02
  • K. Kaprizov (MIN) — 1G, 1A in 19:45
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
VAN1 / 4 · 0.98 xG
MIN2 / 9 · 2.62 xG
Medium dangermid-range
VAN1 / 13 · 1.38 xG
MIN3 / 18 · 2.20 xG
Low dangerperimeter & point
VAN0 / 48 · 0.75 xG
MIN0 / 38 · 0.52 xG

MIN went 3-for-18 from medium danger on 2.20 expected goals — 0.8 above expected.

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

Finishing vs expected

expectedactual
VAN
2 G · 3.11 xG · -1.1
MIN
5 G · 5.33 xG · -0.3
0123456
Goalies · GSAx (goals saved above expected)
N. TolopiloVAN
+1.3
F. GustavssonMIN
+1.1

VAN finished -1.1 against expected, MIN -0.3 — N. Tolopilo (VAN) saved 1.3 goals above expected.

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

Shot diet

goalsshots
VAN
WRIST2/24
SNAP0/8
TIP IN0/7
SLAP0/3
DEFLECTED0/1
BACKHAND0/2
OTHER0/20
MIN
WRIST3/36
SNAP1/7
TIP IN1/5
SLAP0/2
DEFLECTED0/1
BACKHAND0/0
OTHER0/14
VAN
MIN
Off the rush
0 G on 26 · 1.76 xG
4 G on 34 · 3.75 xG
Off rebounds
2 G on 5 · 0.76 xG
0 G on 3 · 0.57 xG

Wrist shots carried the volume: VAN went 2-for-24, MIN 3-for-36. MIN scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Boldy
#12 · L · MIN
2 G · 1 A · 6 SOG · 15:45 TOI · +3
M. Zuccarello
#36 · R · MIN
0 G · 2 A · 3 SOG · 20:02 TOI · +2
K. Kaprizov
#97 · L · MIN
1 G · 1 A · 5 SOG · 19:45 TOI · +3
Ranked from the box score — points first · Backcheck
What the model flagged
  • VAN generated higher-quality looks than the shot total suggests.
  • N. Tolopilo (VAN) stopped 1.3 goals above expected.
  • MIN generated far more dangerous chances — 0.082 xG/shot vs 0.048. Quality over quantity.
  • MIN was lethal off the rush — 4 goals on 34 rush chances.
  • MIN created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • VAN created 5 rebound opportunities (2 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · VAN at MIN · 8:00 PM ET

The Wild are the model's lean over the Canucks — with PDO regression in play

By the ModelJul 12, 10:05 AMEdited for clarity
Win probability

The model's lean

58%
MIN
Model favorite
42%
58%
VAN50MIN

MIN by 16 points of win probability — a clear lean. Projected score VAN 2.32.8 MIN; 18% chance it's tied after 60.

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

Tale of the tape

VAN← edge
edge →MIN
44.0%5v5 xG%52.0%
46.0%Corsi%48.0%
2.22xGF / 602.55
2.81xGA / 602.40
1.60Goals for / gm2.04
2.56Goals against / gm1.93
0.974PDO — luck, not skill1.007

MIN holds 6 of 6 process categories — and PDO (0.974 vs 1.007) says MIN has run hotter.

Source · MoneyPuck season tables · 5v5

The Wild are favored at 58% win probability. The model projects a 2.8-2.3 final.

Minnesota commands the underlying play. They hold 52.0% expected goals at 5v5 to Vancouver's 44.0%, a gap reflected in shot share (48.0% Corsi over 46.0%). Minnesota's 4-5-1 over ten games understates their control; Vancouver's -19 goal differential over the same span reveals genuine dysfunction.

Vancouver carries a regression vector. At 0.974 PDO, the Canucks are running cold—a conversion rate that invariably normalizes upward. PDO moves.

Minnesota adds rest: 5 days to Vancouver's 2. Neither team has cashed in on high-danger or rebound chances (both at 0%), shifting advantage toward shot efficiency and puck possession.

Drew O'Connor (0.85 xG/60, 13G) leads Vancouver's attack. Matt Boldy (22G, 0.89 xG/60) anchors Minnesota's—the sharper matchup. Victor Mancini and Matt Kiersted emerge as respective defensive weak links.

Vancouver would benefit from Filip Chytil (1.03 xG/60), but he's likely unavailable (59 days since last game). Robby Fabbri is marked inactive for Minnesota. Both teams enter diminished.

The model's 58% confidence rests on Minnesota's play dominance and rest. Vancouver's PDO should normalize, but not steeply enough to erase Minnesota's structural edge.

Computed danger · scouting

Players to watch

VAN
Filip Chytil3G 0A
1.03 xG/60 · 1 HD · 15.0% sh
Drew O'Connor13G 11A
0.85 xG/60 · 3 HD · 11.8% sh
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
Source · MoneyPuck skaters