Backcheck
Recap · ANA at MIN

Wild steal one from the Ducks against the run of play

The Wild stole one. They lost the expected-goals battle 5.93–3.99 and won anyway.

By the ModelJul 12, 11:44 AMxG: xgboost-0.758Edited for clarity
Away
ANA
Anaheim Ducks
2
Home
MIN
Minnesota Wild
3
FINAL
Process vs result

The underlying story

5.93Expected goals3.99
60% share for the better side
37Shot attempts (SOG)20
12High-danger chances7
81Corsi (all attempts)43
Score-adjusted: 67% / 33%
Source · NHL play-by-play · XGBoost xG

Minnesota won this one despite getting outplayed where it matters most. The Wild edged Anaheim 3–2 despite losing the expected goals battle 3.99–5.93—a gap of nearly 2 goals that perfectly explains why this felt like a heist.

The Ducks controlled the game's underlying quality. They generated 60% of expected goals at 5v5, a dominant share that typically leads to wins. Yet the Wild converted their chances at a far higher rate, scoring on opportunities that didn't register as high-probability shots. The Ducks had 12 high-danger chances to Minnesota's 7, but couldn't finish; Anaheim created 5 rebound chances and converted zero.

J. Wallstedt was the difference. The Wild goaltender stopped 3.9 goals above expected with a 0.946 save percentage, posting a 92% SV% on 12 high-danger shots. L. Dostal, by contrast, saved 0.99 goals above expected—a respectable performance that simply wasn't enough to overcome his team's finishing woes.

Anaheim's power play was dominant—2 goals on 28 PP shots—but that firepower couldn't overcome the Wild's efficiency elsewhere. Mason McTavish's tip-in from the slot at 19:14 of the third period marked the turning point, though the Wild still had to hold on.

The Wild held just 35% of shot attempts (20–37 on goal), another marker of how thoroughly the Ducks controlled possession. Minnesota was lethal on the rush despite limited opportunities: 2 goals on 21 rush chances, a conversion rate that matched Anaheim's ability to score off the rush (2 goals on 45 chances). Minnesota also crashed harder—they created 4 rebound chances and converted 1, giving them tangible second chances where the Ducks found none.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
ANA1 / 12 · 2.98 xG
MIN1 / 7 · 2.72 xG
Medium dangermid-range
ANA0 / 20 · 2.10 xG
MIN1 / 8 · 0.81 xG
Low dangerperimeter & point
ANA1 / 49 · 0.85 xG
MIN1 / 28 · 0.46 xG

ANA went 0-for-20 from medium danger on 2.10 expected goals — 2.1 left on the table.

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

Finishing vs expected

expectedactual
ANA
2 G · 5.93 xG · -3.9
MIN
3 G · 3.99 xG · -1.0
01234567
Goalies · GSAx (goals saved above expected)
L. DostalANA
+1.0
J. WallstedtMIN
+3.9

ANA finished -3.9 against expected, MIN -1.0 — J. Wallstedt (MIN) saved 3.9 goals above expected.

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

Shot diet

goalsshots
ANA
WRIST1/32
SNAP0/11
SLAP0/7
TIP IN1/8
BACKHAND0/3
DEFLECTED0/2
OTHER0/18
MIN
WRIST3/22
SNAP0/5
SLAP0/5
TIP IN0/2
BACKHAND0/2
DEFLECTED0/0
OTHER0/7
ANA
MIN
Off the rush
2 G on 45 · 4.55 xG
2 G on 21 · 1.70 xG
Off rebounds
0 G on 5 · 0.94 xG
1 G on 4 · 0.82 xG

Wrist shots carried the volume: ANA went 1-for-32, MIN 3-for-22. ANA scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. McTavish
#23 · C · ANA
2 G · 0 A · 5 SOG · 17:36 TOI
J. LaCombe
#2 · D · ANA
0 G · 1 A · 3 SOG · 24:14 TOI · -1
M. Granlund
#64 · C · ANA
0 G · 1 A · 3 SOG · 20:53 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • MIN won despite being outplayed by xG (40%). Goaltending or finishing carried them.
  • J. Wallstedt (MIN) stopped 3.9 goals above expected.
  • Open game — 19 high-danger chances combined (MIN 7, ANA 12).
  • MIN was lethal off the rush — 2 goals on 21 rush chances.
  • ANA was lethal off the rush — 2 goals on 45 rush chances.
  • MIN created 4 rebound opportunities (1 converted) — crashing the net effectively.
  • ANA created 5 rebound opportunities (0 converted) — crashing the net effectively.
  • ANA underperformed xG by 3.9 — wasted quality chances.
  • J. Wallstedt (MIN) saved 3.9 goals above expected — stole the show.
  • J. Wallstedt was a wall on HD chances — 92% SV on 12 high-danger shots.
  • ANA power play was dominant — 2 PPG on 28 PP shots (2.69 xG).
Before the game — the model's pre-game read
Preview · ANA at MIN · 8:00 PM ET

Ducks at Wild: a genuine coin flip

By the ModelJul 12, 11:40 AMEdited for clarity
Win probability

The model's lean

52%
MIN
Model favorite
48%
52%
ANA50MIN

MIN by 4 points of win probability — effectively a coin flip. Projected score ANA 2.62.7 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

ANA← edge
edge →MIN
52.0%5v5 xG%52.0%
52.0%Corsi%48.0%
2.80xGF / 602.55
2.59xGA / 602.40
2.09Goals for / gm2.04
2.32Goals against / gm1.93
0.981PDO — luck, not skill1.007

The season numbers split 33 — no clear process edge — and PDO (0.981 vs 1.007) says MIN has run hotter.

Source · MoneyPuck season tables · 5v5

The projections scream pick'em. The model calls this a 2.6–2.7 goal game with the Wild at 52% win probability—essentially a coin flip.

Minnesota arrives with a clear edge: three days of rest against Anaheim's one. That matters. The Ducks will also navigate L. Dostal on a back-to-back, possibly forcing a backup start or leaning on a tired starter.

Even strength tells a bifurcated story. Both teams sit at 52.0% xG%, which means the underlying shot quality is matched. But Corsi separates them—the Ducks own 52.0%, while the Wild trail at 48.0%. Anaheim should drive territorial control. The Wild's test is converting from deeper positions or weathering Anaheim's territorial press.

Luck is Anaheim's other factor. The Ducks' PDO sits at 0.981, which means they're running cold. That's money left on the ice. Conversely, Minnesota's 1.007 PDO suggests regression risk—they've been fortunate, and regression often arrives in the regular season's margins.

Meanwhile, Anaheim is −8 in goal differential over their last ten. That's not just a number; that's evidence their underlying numbers haven't translated to results. If their xG% is legitimately 52%, that gap narrows when PDO normalizes.

Beckett Sennecke anchors Anaheim's attack. His 1.03 xG/60 ranks among creation leaders, and he's posted 20G 19A with 8 high-danger goals and a 13.5% shooting rate—elite volume and finishing. Cutter Gauthier sits at 0.99 xG/60, 25G 16A, 2 HD goals, 12.9% shooting; he's the volume scorer the Ducks lean on. Minnesota counters with Matt Boldy (0.89 xG/60, 22G 18A, 5 HD goals, 13.7% shooting) and, if healthy, Robby Fabbri (0.88 xG/60, 2G 3A, 1 HD goal, 6.9% shooting).

There's a wrinkle: both teams register 0% HD goal rate and 0% rebound goal rate. That's either noise in a small sample or a genuine limitation in their finishing ecosystems. Neither Anaheim's Mason McTavish nor Minnesota's Matt Kiersted is anchoring a dominant defensive shell, which leaves space for both teams' skill players to operate.

The rest advantage matters most when teams are this evenly matched. Minnesota's three-day buffer against Anaheim's one-game turnaround could be the x-factor in a game where every edge is marginal. Trust the model, but respect the schedule.

Computed danger · scouting

Players to watch

ANA
Beckett Sennecke20G 19A
1.03 xG/60 · 8 HD · 13.5% sh
Cutter Gauthier25G 16A
0.99 xG/60 · 2 HD · 12.9% 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