Backcheck
Recap · BOS at MIN

Wild pull away from the Bruins

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

By the ModelJul 11, 8:24 PMxG: xgboost-0.758Edited for clarity
Away
BOS
Boston Bruins
2
Home
MIN
Minnesota Wild
6
FINAL
Process vs result

The underlying story

2.64Expected goals3.63
58% share for the better side
31Shot attempts (SOG)31
4High-danger chances5
64Corsi (all attempts)61
Score-adjusted: 57% / 43%
Source · NHL play-by-play · XGBoost xG

The Wild beat the Bruins 6-2 despite an even split in shot attempts. Minnesota controlled 58% of expected goals, winning through shot quality rather than volume.

The Wild were clinical in dangerous areas. They converted 40% of high-danger chances (2 of 5) and scored two additional goals from low-danger spots that J. Swayman should have stopped. On the rush, they were relentless: five goals on 27 chances. Their power play was dominant—three goals on nine shots.

J. Swayman carried the weight of the result. He recorded a 0.806 save percentage, underperforming his expected save percentage by 2.37 goals, a significant shortfall given Boston's limited volume. F. Gustavsson's 0.935 save percentage exceeded expected performance by 0.64 goals.

Minnesota overshot their expected goal total by 2.37—the product of finishing at an elite clip in the danger zones. The Wild didn't just outplay Boston; they finished with precision.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
BOS1 / 4 · 0.87 xG
MIN2 / 5 · 1.06 xG
Medium dangermid-range
BOS1 / 10 · 1.10 xG
MIN2 / 17 · 1.90 xG
Low dangerperimeter & point
BOS0 / 50 · 0.67 xG
MIN2 / 39 · 0.68 xG

MIN went 2-for-39 from low danger on 0.68 expected goals — 1.3 above expected.

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

Finishing vs expected

expectedactual
BOS
2 G · 2.64 xG · -0.6
MIN
6 G · 3.63 xG · +2.4
01234567
Goalies · GSAx (goals saved above expected)
J. SwaymanBOS
-2.4
F. GustavssonMIN
+0.6

BOS finished -0.6 against expected, MIN +2.4 — J. Swayman (BOS) allowed 2.4 more goals than expected.

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

Shot diet

goalsshots
BOS
WRIST1/33
SNAP1/4
BACKHAND0/5
SLAP0/4
TIP IN0/2
DEFLECTED0/1
OTHER0/15
MIN
WRIST5/28
SNAP0/8
BACKHAND1/4
SLAP0/4
TIP IN0/1
DEFLECTED0/0
OTHER0/16
BOS
MIN
Off the rush
0 G on 25 · 1.32 xG
5 G on 27 · 2.44 xG
Off rebounds
0 G on 4 · 0.62 xG
0 G on 6 · 0.65 xG

Wrist shots carried the volume: BOS went 1-for-33, MIN 5-for-28. MIN scored 5 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
K. Kaprizov
#97 · L · MIN
2 G · 1 A · 4 SOG · 19:12 TOI · +3
R. Hartman
#38 · R · MIN
1 G · 2 A · 2 SOG · 13:39 TOI · +1
B. Faber
#7 · D · MIN
0 G · 2 A · 3 SOG · 23:55 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • J. Swayman (BOS) gave up 2.4 goals more than expected — well below their workload.
  • MIN generated far more dangerous chances — 0.060 xG/shot vs 0.041. Quality over quantity.
  • MIN was clinical in the high-danger zone — 2/5 on HD chances (40%).
  • MIN scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • MIN was lethal off the rush — 5 goals on 27 rush chances.
  • MIN created 6 rebound opportunities (0 converted) — crashing the net effectively.
  • BOS created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • MIN outperformed their expected goals by 2.4 — elite finishing or lucky bounces.
  • MIN power play was dominant — 3 PPG on 9 PP shots (0.82 xG).
Before the game — the model's pre-game read
Preview · BOS at MIN · 6:00 PM ET

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

By the ModelJul 11, 8:23 PMEdited for clarity
Win probability

The model's lean

56%
MIN
Model favorite
44%
56%
BOS50MIN

MIN by 12 points of win probability — a modest lean. Projected score BOS 2.42.7 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

BOS← edge
edge →MIN
47.0%5v5 xG%52.0%
49.0%Corsi%48.0%
2.39xGF / 602.55
2.67xGA / 602.40
2.22Goals for / gm2.04
1.82Goals against / gm1.93
1.023PDO — luck, not skill1.007

The season numbers split 33 — no clear process edge — and PDO (1.023 vs 1.007) says BOS has run hotter.

Source · MoneyPuck season tables · 5v5

Minnesota's the model's pick. It projects a 2.4–2.7 final favoring the Wild, with Minnesota at 56% win probability—a meaningful edge built on superior underlying play.

The gap in the 5v5 trenches is real. Minnesota generates 52.0% expected goals against Boston's 47.0%, a five-percentage-point gulf that reflects sustained dominance in shot quality. Boston's Corsi (49.0%) barely trails Minnesota's (48.0%), but expected goals are the better measure of that underlying difference. Minnesota controls what matters: the chances.

Boston's PDO sits at 1.023—a full two points above Minnesota's 1.007. PDO correlates with luck: puck luck, unsustainable shooting rates, and goaltending save percentages that tend toward regression. The Bruins are overperforming their underlying play, which means the sting of regression is coming. A game against a team that dominates five-on-five play is exactly where luck tends to catch up.

Goaltending may complicate matters. J. Wallstedt arrives on the second night of a back-to-back, opening the door for a backup start or a visibly fatigued starter. That's a ceiling effect—if Minnesota's underlying play doesn't translate to goals, tired goaltending becomes the excuse, not the reason.

The Bruins lean on Viktor Arvidsson to drive volume. Arvidsson shoots at 13.0% while generating 1.04 expected goals per 60, producing 18 goals and 24 assists with two high-danger chances. Tanner Jeannot (0.75 xG/60, 8.3% shooting) offers complementary scoring at a lower conversion rate—six goals and 14 assists show modest production relative to his chance creation.

Minnesota counters with Matt Boldy, who generates 0.89 expected goals per 60 while converting at 13.7%, yielding 22 goals and 18 assists with five high-danger tallies. That's efficient scoring from volume play. Robby Fabbri (0.88 xG/60, 6.9% shooting) is likely out, so Minnesota's secondary scoring loses a depth piece that would otherwise create at a premium rate despite minimal goal total.

Boston's defensive weak link is Elias Lindholm. Minnesota's is Matt Kiersted. For a game built on shot quality and chance conversion, exploiting those vulnerabilities becomes the margin.

The verdict holds: Minnesota's structural advantage—better underlying play, lower PDO requiring less regression luck—aligns with the model. Boston will need unsustainable shooting to overcome it.

Computed danger · scouting

Players to watch

BOS
Viktor Arvidsson18G 24A
1.04 xG/60 · 2 HD · 13.0% sh
Tanner Jeannot6G 14A
0.75 xG/60 · 2 HD · 8.3% 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