Backcheck
Recap · SJS at MIN

Sharks steal one from the Wild against the run of play

The Sharks stole one. They lost the expected-goals battle 3.26–4.64 and won anyway.

By the ModelJul 11, 1:20 PMxG: xgboost-0.758Edited for clarity
Away
SJS
San Jose Sharks
6
Home
MIN
Minnesota Wild
5
FINAL / OT
Process vs result

The underlying story

3.26Expected goals4.64
59% share for the better side
25Shot attempts (SOG)33
4High-danger chances5
46Corsi (all attempts)77
Score-adjusted: 34% / 66%
Source · NHL play-by-play · XGBoost xG

San Jose won 6-5 in overtime despite creating just 3.26 expected goals to Minnesota's 4.64. The Wild owned 57% of shot attempts (33 to 25 on goal), dominated the metrics, and still left empty-handed. This was a steal.

Y. Askarov stopped 28 of 33 shots for a 0.848 save percentage. J. Wallstedt allowed 19 of 25 for 0.760 — 2.74 goals worse than expected. That gap decided the game.

The Sharks' efficiency in high-danger areas was the difference. They converted 2 of 4 (50%), while Minnesota managed 0 of 5. San Jose feasted on the rush, scoring 5 times on 23 chances. Minnesota's 3 goals on 39 rush attempts showed the opposite problem — speed without finish.

Minnesota scored 2 goals from low-danger spots, plays Askarov had no business allowing. The Wild created 5 rebound opportunities without converting any, while San Jose turned 1 of 3 into a goal. These small edges compound into losses.

Macklin Celebrini's wrist shot from the high slot at 3:47 of overtime ended it.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SJS2 / 4 · 1.22 xG
MIN0 / 5 · 1.28 xG
Medium dangermid-range
SJS4 / 14 · 1.72 xG
MIN3 / 23 · 2.44 xG
Low dangerperimeter & point
SJS0 / 28 · 0.33 xG
MIN2 / 49 · 0.92 xG

SJS went 4-for-14 from medium danger on 1.72 expected goals — 2.3 above expected.

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

Finishing vs expected

expectedactual
SJS
6 G · 3.26 xG · +2.7
MIN
5 G · 4.64 xG · +0.4
01234567
Goalies · GSAx (goals saved above expected)
Y. AskarovSJS
-0.4
J. WallstedtMIN
-2.7

SJS finished +2.7 against expected, MIN +0.4 — J. Wallstedt (MIN) allowed 2.7 more goals than expected.

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

Shot diet

goalsshots
SJS
WRIST5/23
TIP IN0/2
SLAP0/2
SNAP0/1
DEFLECTED1/2
BACKHAND0/1
BAT0/1
OTHER0/14
MIN
WRIST3/33
TIP IN2/11
SLAP0/6
SNAP0/5
DEFLECTED0/1
BACKHAND0/1
BAT0/0
OTHER0/20
SJS
MIN
Off the rush
5 G on 23 · 2.61 xG
3 G on 39 · 3.35 xG
Off rebounds
1 G on 3 · 0.56 xG
0 G on 5 · 0.69 xG

Wrist shots carried the volume: SJS went 5-for-23, MIN 3-for-33. SJS scored 5 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
K. Kaprizov
#97 · L · MIN
0 G · 3 A · 3 SOG · 27:08 TOI
B. Faber
#7 · D · MIN
0 G · 3 A · 5 SOG · 26:26 TOI · +1
W. Eklund
#72 · L · SJS
2 G · 1 A · 4 SOG · 25:29 TOI
Ranked from the box score — points first · Backcheck
What the model flagged
  • SJS stole this one. MIN owned 59% of the xG and lost.
  • J. Wallstedt (MIN) gave up 2.7 goals more than expected — well below their workload.
  • MIN couldn't convert — 0/5 on high-danger chances. That won't happen often.
  • SJS was clinical in the high-danger zone — 2/4 on HD chances (50%).
  • MIN scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • MIN was lethal off the rush — 3 goals on 39 rush chances.
  • SJS was lethal off the rush — 5 goals on 23 rush chances.
  • MIN created 5 rebound opportunities (0 converted) — crashing the net effectively.
  • SJS created 3 rebound opportunities (1 converted) — crashing the net effectively.
  • SJS outperformed their expected goals by 2.7 — elite finishing or lucky bounces.
Before the game — the model's pre-game read
Preview · SJS at MIN · 6:00 PM ET

The Wild are the model's lean over the Sharks on the underlying numbers

By the ModelJul 11, 1:18 PMEdited for clarity
Win probability

The model's lean

56%
MIN
Model favorite
44%
56%
SJS50MIN

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

SJS← edge
edge →MIN
48.0%5v5 xG%52.0%
47.0%Corsi%48.0%
2.33xGF / 602.55
2.56xGA / 602.40
1.99Goals for / gm2.04
2.32Goals against / gm1.93
0.998PDO — luck, not skill1.007

MIN holds 6 of 6 process categories — and PDO (0.998 vs 1.007) says MIN has run hotter.

Source · MoneyPuck season tables · 5v5

Minnesota's 5v5 advantage—52.0% expected goals to San Jose's 48.0%—powers the model's projection: an SJS 2.4–2.7 MIN game, with the Wild at 56% win probability. The Corsi split (Minnesota 48.0%, San Jose 47.0%) reinforces the underlying picture.

Both teams are wounded. Minnesota sits -9 in goal differential over their last 10; San Jose is -13. The divergence in PDO tells the story. Minnesota's 1.007 sits above neutral—they're getting friendly bounces—yet they've still fallen into a hole. San Jose's 0.998 PDO means they're experiencing expected results, which in their case means bad underlying play manifesting in losses. The Wild's shot-generation advantage should persist; the Sharks' deficit should too.

F. Gustavsson faces a back-to-back, with either a backup start or a tired starter possible.

Pavol Regenda is the Sharks' primary threat: 1.10 xG per 60, 5 goals, 2 high-danger chances, and a likely unsustainable 16.1% shooting rate. Igor Chernyshov (0.91 xG/60, 6 goals, 15.0% shooting) has threaded chances and finished them, but he represents a defensive liability as well. Minnesota will target both.

Matt Boldy anchors Minnesota's offense. At 0.89 xG per 60 with 22 goals and 5 high-danger chances on 13.7% shooting, he's hit elite efficiency marks. The team leans on him heavily; San Jose's path forward involves shadowing Boldy and forcing secondary scorers. Matt Kiersted is the defensive weak link to exploit.

Players to Watch

San Jose: Pavol Regenda (1.10 xG/60, 5G 1A, 2 HD goals), Igor Chernyshov (0.91 xG/60, 6G 8A, 1 HD goals)

Minnesota: Matt Boldy (0.89 xG/60, 22G 18A, 5 HD goals)

Computed danger · scouting

Players to watch

SJS
Pavol Regenda5G 1A
1.10 xG/60 · 2 HD · 16.1% sh
Igor Chernyshov6G 8A
0.91 xG/60 · 1 HD · 15.0% 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