Backcheck
Recap · SJS at CHI

Blackhawks run the Sharks off the ice on the underlying numbers

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

By the ModelJul 12, 12:08 PMxG: xgboost-0.758Edited for clarity
Away
SJS
San Jose Sharks
2
Home
CHI
Chicago Blackhawks
5
FINAL
Process vs result

The underlying story

2.30Expected goals3.93
63% share for the better side
17Shot attempts (SOG)24
4High-danger chances8
41Corsi (all attempts)48
Score-adjusted: 44% / 56%
Source · NHL play-by-play · XGBoost xG

The Blackhawks' 5-2 win overstates their advantage: they overperformed their expected goals by 1.07, meaning they converted chances more efficiently than the underlying metrics would predict. The scoreline is wider than the play merits.

Yet the metrics still back their dominance. Chicago held 63% expected goals (3.93 to 2.30), generated 8 high-danger chances to the Sharks' 4, and maintained 58% of shot attempts with superior quality: 0.082 xG per shot versus 0.056.

The gap between the metrics and the scoreline traces to goaltending. Y. Askarov gave up 1.1 more goals than expected, a severe underperformance given his workload.

Chicago also converted rush chances more effectively: 3 goals on 25 attempts versus the Sharks' 2 on 20.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
SJS0 / 4 · 0.93 xG
CHI1 / 8 · 1.91 xG
Medium dangermid-range
SJS1 / 7 · 0.84 xG
CHI3 / 14 · 1.60 xG
Low dangerperimeter & point
SJS1 / 30 · 0.52 xG
CHI1 / 26 · 0.42 xG

CHI went 3-for-14 from medium danger on 1.60 expected goals — 1.4 above expected.

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

Finishing vs expected

expectedactual
SJS
2 G · 2.30 xG · -0.3
CHI
5 G · 3.93 xG · +1.1
0123456
Goalies · GSAx (goals saved above expected)
Y. AskarovSJS
-1.1
S. KnightCHI
+0.3

SJS finished -0.3 against expected, CHI +1.1 — Y. Askarov (SJS) allowed 1.1 more goals than expected.

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

Shot diet

goalsshots
SJS
WRIST2/18
SLAP0/3
SNAP0/3
TIP IN0/1
POKE0/1
BACKHAND0/1
OTHER0/14
CHI
WRIST2/17
SLAP1/8
SNAP2/5
TIP IN0/6
POKE0/1
BACKHAND0/0
OTHER0/11
SJS
CHI
Off the rush
2 G on 20 · 1.89 xG
3 G on 25 · 3.01 xG
Off rebounds
0 G on 2 · 0.33 xG
0 G on 2 · 0.22 xG

Wrist shots carried the volume: SJS went 2-for-18, CHI 2-for-17. CHI scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
L. Crevier
#46 · D · CHI
2 G · 0 A · 2 SOG · 19:09 TOI · +2
K. Sherwood
#44 · L · SJS
0 G · 2 A · 0 SOG · 18:17 TOI
C. Bedard
#98 · C · CHI
0 G · 2 A · 0 SOG · 17:51 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • Y. Askarov (SJS) gave up 1.1 goals more than expected — well below their workload.
  • CHI generated far more dangerous chances — 0.082 xG/shot vs 0.056. Quality over quantity.
  • CHI was lethal off the rush — 3 goals on 25 rush chances.
  • SJS was lethal off the rush — 2 goals on 20 rush chances.
Before the game — the model's pre-game read
Preview · SJS at CHI · 8:30 PM ET

Sharks at Blackhawks: a genuine coin flip

By the ModelJul 12, 11:56 AMEdited for clarity
Win probability

The model's lean

52%
SJS
Model favorite
52%
48%
SJS50CHI

SJS by 4 points of win probability — effectively a coin flip. Projected score SJS 2.62.5 CHI; 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 →CHI
48.0%5v5 xG%42.0%
47.0%Corsi%46.0%
2.33xGF / 602.17
2.56xGA / 602.94
1.99Goals for / gm1.84
2.32Goals against / gm2.41
0.998PDO — luck, not skill0.996

SJS holds 6 of 6 process categories — and PDO (0.998 vs 0.996) says SJS has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.6–2.5 Sharks victory with San Jose at 52% win probability—essentially a pick'em.

The Sharks are the hotter team. They've gone 6-3-1 over their last ten games, while Chicago is underwater with a -24 goal differential in the same span. San Jose owns the underlying play too: their 48.0% expected goals share compared to the Blackhawks' 42.0% suggests they're controlling play at 5v5, though their Corsi% (47.0% vs. 46.0%) tells a more marginal story. Both teams' PDO values (SJS 0.998, CHI 0.996) sit right at league average, so there's no goaltending or luck variance baked in yet.

The back-to-back situation deserves attention: S. Knight is on one for San Jose, as is A. Nedeljkovic for Chicago. Either team could lean on a backup or risk deploying a fatigued starter.

The Sharks' offensive load runs through Pavol Regenda, though he's marked likely inactive for this game. Their second threat is Igor Chernyshov, who's generated 0.91 expected goals per 60 minutes with 6 goals and 8 assists. Chicago counters with Tyler Bertuzzi (0.85 xG/60, 20 goals, 15 assists) and Connor Bedard (0.82 xG/60, 17 goals, 27 assists). Bertuzzi's 18.0% shooting rate and 7 high-danger goals suggest he's overperforming his underlying metrics; Bedard's 11.8% rate indicates more room to run hot.

Defensively, both teams are at 0% high-danger goal rate and 0% rebound goals—unsustainably tight play that will regress. Chernyshov is San Jose's defensive weak link, while Anton Frondell stands out as Chicago's liability.

The edge is minimal. San Jose's possession advantage and recent form give them a slight pull, but Chicago's star power up front keeps this squarely in toss-up territory.

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
CHI
Tyler Bertuzzi20G 15A
0.85 xG/60 · 7 HD · 18.0% sh
Connor Bedard17G 27A
0.82 xG/60 · 5 HD · 11.8% sh
Source · MoneyPuck skaters