Backcheck
Recap · SJS at MIN

Y. Askarov stands tall as the Sharks edge the Wild

The Sharks stole one. They lost the expected-goals battle 2.93–3.73 and won anyway.

By the ModelJul 11, 3:34 PMxG: xgboost-0.758Edited for clarity
Away
SJS
San Jose Sharks
2
Home
MIN
Minnesota Wild
1
FINAL / OT
Process vs result

The underlying story

2.93Expected goals3.73
56% share for the better side
18Shot attempts (SOG)29
6High-danger chances3
49Corsi (all attempts)58
Score-adjusted: 48% / 53%
Source · NHL play-by-play · XGBoost xG

Minnesota controlled this game and lost. The Wild dominated expected goals at 56%, generating 3.73 xG to San Jose's 2.93, yet fell 2-1 in overtime—a complete divergence between what the math predicts and what happened.

Minnesota held the ice: 62% of shot attempts (29–18 on goal), six high-danger chances to three. Y. Askarov saved 2.73 goals above expected, denying Minnesota's advantage from translating to the scoreboard. F. Gustavsson posted a 0.889 SV%. Minnesota's underlying issue was efficiency: they underperformed their expected goals by 2.73, squandering their dominant possession.

San Jose capitalized off the rush: two goals on 20 rush chances. Minnesota generated four rebound opportunities but converted none, amplifying the gap between their control and their finish.

Collin Graf's backhander from the doorstep at 02:41 of overtime sealed it—the moment Minnesota's dominance became irrelevant.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SJS2 / 6 · 1.51 xG
MIN1 / 3 · 0.62 xG
Medium dangermid-range
SJS0 / 9 · 1.04 xG
MIN0 / 21 · 2.62 xG
Low dangerperimeter & point
SJS0 / 34 · 0.37 xG
MIN0 / 34 · 0.48 xG

MIN went 0-for-21 from medium danger on 2.62 expected goals — 2.6 left on the table.

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

Finishing vs expected

expectedactual
SJS
2 G · 2.93 xG · -0.9
MIN
1 G · 3.73 xG · -2.7
012345
Goalies · GSAx (goals saved above expected)
Y. AskarovSJS
+2.7
F. GustavssonMIN
+0.9

SJS finished -0.9 against expected, MIN -2.7 — Y. Askarov (SJS) saved 2.7 goals above expected.

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

Shot diet

goalsshots
SJS
WRIST0/15
SNAP1/7
TIP IN0/3
BACKHAND1/3
SLAP0/2
DEFLECTED0/1
OTHER0/18
MIN
WRIST0/23
SNAP1/6
TIP IN0/7
BACKHAND0/6
SLAP0/3
DEFLECTED0/0
OTHER0/13
SJS
MIN
Off the rush
2 G on 20 · 2.46 xG
1 G on 31 · 2.83 xG
Off rebounds
0 G on 1 · 0.16 xG
0 G on 4 · 0.57 xG

Wrist shots carried the volume: SJS went 0-for-15, MIN 0-for-23. SJS scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Celebrini
#71 · C · SJS
0 G · 2 A · 0 SOG · 19:03 TOI · +1
Z. Buium
#8 · D · MIN
0 G · 1 A · 4 SOG · 26:08 TOI
M. Boldy
#12 · L · MIN
1 G · 0 A · 5 SOG · 23:15 TOI
Ranked from the box score — points first · Backcheck
What the model flagged
  • SJS stole this one. MIN owned 56% of the xG and lost.
  • Y. Askarov (SJS) stopped 2.7 goals above expected.
  • SJS was lethal off the rush — 2 goals on 20 rush chances.
  • MIN created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • MIN underperformed xG by 2.7 — wasted quality chances.
  • Y. Askarov (SJS) saved 2.7 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · SJS at MIN · 8:00 PM ET

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

By the ModelJul 11, 3:32 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

The model projects a 2.4-2.7 game with Minnesota at 56% win probability. The Wild earn that edge through structural advantage at five-on-five: they generate 52.0% expected goals to San Jose's 48.0%, and control 48.0% of shot attempts to the Sharks' 47.0%. These are small margins, but they compound over time, especially when coupled with Minnesota's 1.007 PDO to San Jose's 0.998—Minnesota's conversion efficiency should persist while San Jose's should regress.

San Jose enters hotter, 7-2-1 in their last ten games, but recent momentum doesn't erase season-long underlying patterns. The Sharks' offensive load rests on Pavol Regenda (1.10 expected goals per 60 minutes, 5 goals, 1 assist, 2 high-danger goals, 16.1% shooting) and Igor Chernyshov (0.91 xG/60, 6 goals, 8 assists, 1 high-danger goal, 15.0% shooting). Both carry scoring weight individually, but neither generates enough volume to overcome Minnesota's depth.

Matt Boldy leads the Wild at 0.89 xG/60 with 22 goals, 18 assists, and 5 high-danger goals. His output alone exceeds San Jose's top scorers. Robby Fabbri (0.88 xG/60, 2 goals, 3 assists, 1 high-danger goal, 6.9% shooting) is likely out, removing Minnesota's secondary threat without material impact.

J. Wallstedt faces a back-to-back assignment, a vulnerability worth noting. A tired starter or backup move favors San Jose's hot streak. But even tired goaltending rarely overturns underlying-play advantages this large.

The math holds: Minnesota's shot-quality and volume edge should narrow San Jose's momentum. Trust the underlying play.

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