Backcheck
Recap · MIN at MTL

Canadiens hold off the Wild

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

By the ModelJul 12, 1:39 AMxG: xgboost-0.758Edited for clarity
Away
MIN
Minnesota Wild
3
Home
MTL
Montreal Canadiens
4
FINAL
Process vs result

The underlying story

2.46Expected goals2.29
52% share for the better side
20Shot attempts (SOG)33
4High-danger chances0
47Corsi (all attempts)75
Score-adjusted: 40% / 60%
Source · NHL play-by-play · XGBoost xG

Montreal's 4-3 victory masks a close underlying game. Expected goals favored Minnesota 2.46 to 2.29 — a 48-52 split — yet the Canadiens overperformed by 1.71 goals, suggesting elite finishing or favorable variance rather than dominance.

The goaltending split explains much of the margin. J. Wallstedt stopped 29 of 33 for the Wild, posting a 0.879 save percentage 1.71 goals worse than expected. J. Dobes recorded 17 of 20 saves for Montreal at 0.850, also underperforming but by only 0.54 goals while facing fewer dangerous looks.

Montreal controlled shot attempts at 62% (33-20 on goal), yet the quality gap ran the opposite direction. Minnesota generated 0.052 expected goals per shot; Montreal 0.030 — the Wild were nearly twice as efficient. This edge crystallized on the power play: Minnesota scored 2 goals on 11 shots for 0.72 xG, a dominant special-teams showing.

The deciding factor was the rush. Montreal buried 3 goals on 28 rush opportunities; Minnesota converted 2 of 21. That single-goal gap on transition is why Montreal leaves with the win despite the Wild's superior shot quality and more efficient offense.

Cole Caufield's slap shot from the top of the circles (19:45, period 3) marked the turning point — a moment exemplifying Montreal's conversion rate when the xG model predicted something closer.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MIN1 / 4 · 1.00 xG
MTL0 / 0 · 0.00 xG
Medium dangermid-range
MIN1 / 8 · 0.93 xG
MTL3 / 15 · 1.47 xG
Low dangerperimeter & point
MIN1 / 35 · 0.54 xG
MTL1 / 60 · 0.82 xG

MTL went 3-for-15 from medium danger on 1.47 expected goals — 1.5 above expected.

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

Finishing vs expected

expectedactual
MIN
3 G · 2.46 xG · +0.5
MTL
4 G · 2.29 xG · +1.7
012345
Goalies · GSAx (goals saved above expected)
J. WallstedtMIN
-1.7
J. DobesMTL
-0.5

MIN finished +0.5 against expected, MTL +1.7 — J. Wallstedt (MIN) allowed 1.7 more goals than expected.

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

Shot diet

goalsshots
MIN
SNAP3/27
TIP IN0/0
BACKHAND0/2
WRIST0/1
SLAP0/2
DEFLECTED0/1
WRAP AROUND0/1
OTHER0/13
MTL
SNAP1/26
TIP IN1/13
BACKHAND0/4
WRIST0/3
SLAP2/2
DEFLECTED0/1
WRAP AROUND0/0
OTHER0/26
MIN
MTL
Off the rush
2 G on 21 · 1.53 xG
3 G on 28 · 1.39 xG
Off rebounds
0 G on 4 · 0.78 xG
1 G on 5 · 0.39 xG

Snap shots carried the volume: MIN went 3-for-27, MTL 1-for-26. MTL scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
K. Kaprizov
#97 · L · MIN
0 G · 2 A · 1 SOG · 23:40 TOI
M. Zuccarello
#36 · R · MIN
0 G · 2 A · 1 SOG · 21:52 TOI · -1
L. Hutson
#48 · D · MTL
1 G · 1 A · 2 SOG · 19:29 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • MTL had the shot volume but the chances weren't dangerous.
  • J. Wallstedt (MIN) gave up 1.7 goals more than expected — well below their workload.
  • MIN had the higher quality looks — 0.052 xG/shot vs 0.030.
  • MTL was lethal off the rush — 3 goals on 28 rush chances.
  • MIN was lethal off the rush — 2 goals on 21 rush chances.
  • MTL created 5 rebound opportunities (1 converted) — crashing the net effectively.
  • MIN created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • MTL outperformed their expected goals by 1.7 — elite finishing or lucky bounces.
  • MIN power play was dominant — 2 PPG on 11 PP shots (0.72 xG).
Before the game — the model's pre-game read
Preview · MIN at MTL · 7:00 PM ET

Wild at Canadiens: a genuine coin flip

By the ModelJul 12, 1:38 AMEdited for clarity
Win probability

The model's lean

51%
MIN
Model favorite
51%
49%
MIN50MTL

MIN by 2 points of win probability — effectively a coin flip. Projected score MIN 2.62.5 MTL; 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 →MTL
52.0%5v5 xG%48.0%
48.0%Corsi%49.0%
2.55xGF / 602.41
2.40xGA / 602.62
2.04Goals for / gm2.24
1.93Goals against / gm1.96
1.007PDO — luck, not skill1.018

MIN holds 4 of 6 process categories — and PDO (1.007 vs 1.018) says MTL has run hotter.

Source · MoneyPuck season tables · 5v5

Minnesota's model projection of 2.6 expected goals to Montreal's 2.5, with the Wild at 51% win probability, describes a game that could plausibly go either way.

The underlying play belongs to Minnesota. At 5v5, the Wild hold a 52.0% expected goals share against Montreal's 48.0%—a meaningful edge in shot quality that typically sustains into the future. Yet Montreal is running hot: their 1.018 PDO suggests regression is coming. Minnesota's 1.007 sits closer to sustainable norms.

Minnesota's edge runs through Matt Boldy, who generates at 0.89 expected goals per 60 minutes and has converted 22 goals at a 13.7% shooting rate—suggesting skill beyond variance. Cole Caufield answers for Montreal at 0.97 xG/60 with 33 goals, but his 20.0% shooting percentage is unsustainably high and represents the upside Montreal needs to overcome its structural disadvantage.

Oliver Kapanen supplies Montreal's secondary threat at 0.83 xG/60 with 19 goals and a 17.8% conversion rate. Robby Fabbri, Minnesota's 0.88 xG/60 option, is likely out and irrelevant to this matchup.

Defensive strength matters little here. Both teams rank poorly in high-danger goal rates and rebound conversion. Matt Kiersted's limitations on Minnesota's blue line roughly offset Mike Matheson's struggles for Montreal.

Minnesota's structural edge in shot quality gives them the theoretical advantage the market correctly reflects at 51% win probability. Montreal's firepower in Caufield and Kapanen can overcome a modest underlying deficit if shooting variance cooperates. The model calls it a coin flip. The evidence confirms it.

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
MTL
Cole Caufield33G 16A
0.97 xG/60 · 1 HD · 20.0% sh
Oliver Kapanen19G 12A
0.83 xG/60 · 4 HD · 17.8% sh
Source · MoneyPuck skaters