Backcheck
Recap · MTL at SJS

Sharks hold off the Canadiens

The Sharks stole one. They lost the expected-goals battle 4.58–3.49 and won anyway.

By the ModelJul 12, 5:34 AMxG: xgboost-0.758Edited for clarity
Away
MTL
Montreal Canadiens
5
Home
SJS
San Jose Sharks
7
FINAL
Process vs result

The underlying story

4.58Expected goals3.49
57% share for the better side
36Shot attempts (SOG)28
7High-danger chances5
69Corsi (all attempts)56
Score-adjusted: 56% / 44%
Source · NHL play-by-play · XGBoost xG

San Jose won 7-5 despite being outplayed significantly in expected goals. The Sharks generated only 3.49 xG to Montreal's 4.58—a 57%-43% split. This was a heist.

The Sharks' victory rested on two elements: elite goaltending and clinical finishing. Y. Askarov posted a 0.861 SV% and stopped all 7 high-danger chances. That's precision.

Montreal's collapse was equally stark. J. Dobes' 0.778 SV% came in 2.51 goals worse than expected—critical underperformance in a high-volume game. The Canadiens went 0 for 7 on high-danger chances while San Jose converted 2 of 5. In a 7-5 result, finishing in premium ice determines the winner.

The Sharks' rush game proved decisive: 7 goals on 29 attempts. Montreal answered with 5 on 35. M. Celebrini led with 1 goal and 3 assists in 22:49. W. Smith added 1 goal and 1 assist in 19:37. For Montreal, M. Matheson's 3 assists in 24:18 couldn't overcome the team's finish rate.

Adam Gaudette's wrist shot from the top of the circles with 19:56 left in the third marked the turning point. The Canadiens created volume elsewhere: 7 rebound chances that converted to nothing, 2 low-danger goals that shouldn't fall often. But Askarov's performance on high-danger shots rendered the rest secondary. The Sharks overperformed their xG by 3.51 goals. Some is luck; most is two goaltenders playing to opposite scripts.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
MTL0 / 7 · 1.79 xG
SJS2 / 5 · 1.73 xG
Medium dangermid-range
MTL3 / 19 · 1.96 xG
SJS4 / 9 · 1.05 xG
Low dangerperimeter & point
MTL2 / 43 · 0.83 xG
SJS1 / 42 · 0.70 xG

SJS went 4-for-9 from medium danger on 1.05 expected goals — 3.0 above expected.

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

Finishing vs expected

expectedactual
MTL
5 G · 4.58 xG · +0.4
SJS
7 G · 3.49 xG · +3.5
012345678
Goalies · GSAx (goals saved above expected)
J. DobesMTL
-2.5
Y. AskarovSJS
-0.4

MTL finished +0.4 against expected, SJS +3.5 — J. Dobes (MTL) allowed 2.5 more goals than expected.

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

Shot diet

goalsshots
MTL
WRIST3/39
SLAP1/7
TIP IN1/6
BACKHAND0/3
WRAP AROUND0/1
SNAP0/1
OTHER0/12
SJS
WRIST6/31
SLAP0/3
TIP IN0/1
BACKHAND1/2
WRAP AROUND0/0
SNAP0/0
OTHER0/19
MTL
SJS
Off the rush
5 G on 35 · 2.87 xG
7 G on 29 · 3.09 xG
Off rebounds
0 G on 7 · 1.42 xG
0 G on 0 · 0.00 xG

Wrist shots carried the volume: MTL went 3-for-39, SJS 6-for-31. SJS scored 7 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Celebrini
#71 · C · SJS
1 G · 3 A · 7 SOG · 22:49 TOI
M. Matheson
#8 · D · MTL
0 G · 3 A · 3 SOG · 24:18 TOI
W. Smith
#2 · C · SJS
1 G · 1 A · 1 SOG · 19:37 TOI · -1
Ranked from the box score — points first · Backcheck
What the model flagged
  • SJS won despite being outplayed by xG (43%). Goaltending or finishing carried them.
  • J. Dobes (MTL) gave up 2.5 goals more than expected — well below their workload.
  • SJS was clinical in the high-danger zone — 2/5 on HD chances (40%).
  • MTL couldn't convert — 0/7 on high-danger chances. That won't happen often.
  • MTL scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • SJS was lethal off the rush — 7 goals on 29 rush chances.
  • MTL was lethal off the rush — 5 goals on 35 rush chances.
  • MTL created 7 rebound opportunities (0 converted) — crashing the net effectively.
  • SJS outperformed their expected goals by 3.5 — elite finishing or lucky bounces.
  • Y. Askarov was a wall on HD chances — 100% SV on 7 high-danger shots.
Before the game — the model's pre-game read
Preview · MTL at SJS · 10:00 PM ET

Canadiens at Sharks: a genuine coin flip

By the ModelJul 12, 5:32 AMEdited for clarity
Win probability

The model's lean

52%
SJS
Model favorite
48%
52%
MTL50SJS

SJS by 4 points of win probability — effectively a coin flip. Projected score MTL 2.52.6 SJS; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season profile · edge from the spine

Tale of the tape

MTL← edge
edge →SJS
48.0%5v5 xG%48.0%
49.0%Corsi%47.0%
2.41xGF / 602.33
2.62xGA / 602.56
2.24Goals for / gm1.99
1.96Goals against / gm2.32
1.018PDO — luck, not skill0.998

MTL holds 4 of 6 process categories — and PDO (1.018 vs 0.998) says MTL has run hotter.

Source · MoneyPuck season tables · 5v5

The models project a near-even matchup: Montreal 2.5–2.6 expected goals, San Jose at 52% win probability. This is about as close to a pick'em as you'll find.

Montreal enters with form on its side. The Canadiens are 6-2-2 over their last ten games, while San Jose sits at -6 goal differential over the same span—a record of consistent underperformance.

At 5-on-5, both teams generate exactly 48.0% expected goals, meaning they've created identical shot quality. Montreal's Corsi% edge (49.0% to 47.0%) suggests a marginal advantage in shot volume. The real concern for Montreal is their PDO of 1.018—running hot by league standards, which predicts regression is coming.

Cole Caufield is Montreal's centerpiece: 33 goals with 0.97 xG/60 and a 20.0% shooting percentage that far exceeds league norms. Oliver Kapanen (19 goals, 17.8% shooting) provides secondary firepower. San Jose must neutralize both if they're to win.

Pavol Regenda is marked inactive, removing what would be San Jose's prime matchup threat. Igor Chernyshov (6 goals, 0.91 xG/60, 15.0% shooting) is the Sharks' most dangerous forward, though he's also a defensive liability.

Mike Matheson is Montreal's defensive liability; Igor Chernyshov is San Jose's. Each team can exploit the other's weakness.

Neither team scores much from high-danger chances or rebounds; both generate 0% of their goals from those sources.

Montreal's recent form and player quality give them the edge in a game the models score as even. Their hot PDO, however, signals regression is due—just perhaps not today.

Computed danger · scouting

Players to watch

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
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
Source · MoneyPuck skaters