Backcheck
Recap · DAL at SJS

Sharks edge the Stars in overtime

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

By the ModelJul 12, 12:07 AMxG: xgboost-0.758Edited for clarity
Away
DAL
Dallas Stars
4
Home
SJS
San Jose Sharks
5
FINAL / OT
Process vs result

The underlying story

3.50Expected goals4.36
56% share for the better side
20Shot attempts (SOG)31
7High-danger chances8
42Corsi (all attempts)60
Score-adjusted: 38% / 62%
Source · NHL play-by-play · XGBoost xG

The Sharks' 5-4 overtime victory was built on a foundation of territorial control — San Jose commanded 56% of 5v5 expected goals (4.36–3.50) while holding 61% of shot attempts (31–20).

High-danger chances ran 8–7 in San Jose's favor. The Sharks scored four power-play goals on 14 power-play shots (1.10 xG), evidence of an offense that capitalized on opportunity.

The turning point arrived at 01:58 of overtime when T. Toffoli fired a slap shot from the high slot.

What's telling: Dallas nearly matched San Jose's efficiency on fast-break scoring despite being dominated overall. The Stars scored 2 goals on 16 rush chances; the Sharks scored 3 on 26 — nearly identical conversion rates despite the lopsided possession battle.

Goaltending was marginal. C. DeSmith (DAL) made 26 of 31 saves for a 0.839 SV%, allowing 0.64 more goals than expected. A. Nedeljkovic (SJS) stopped 16 of 20.

The Three Stars:

  • M. Celebrini (SJS, #71) — 3 assists in 27:39
  • T. Toffoli (SJS, #73) — 2 goals, 1 assist in 19:28
  • M. Rantanen (DAL, #96) — 1 goal, 1 assist in 21:35
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
DAL1 / 7 · 1.93 xG
SJS1 / 8 · 1.82 xG
Medium dangermid-range
DAL3 / 11 · 1.27 xG
SJS3 / 17 · 2.03 xG
Low dangerperimeter & point
DAL0 / 24 · 0.30 xG
SJS1 / 35 · 0.50 xG

DAL went 3-for-11 from medium danger on 1.27 expected goals — 1.7 above expected.

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

Finishing vs expected

expectedactual
DAL
4 G · 3.50 xG · +0.5
SJS
5 G · 4.36 xG · +0.6
0123456
Goalies · GSAx (goals saved above expected)
C. DeSmithDAL
-0.6
A. NedeljkovicSJS
-0.5

DAL finished +0.5 against expected, SJS +0.6 — C. DeSmith (DAL) allowed 0.6 more goals than expected.

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

Shot diet

goalsshots
DAL
WRIST3/22
BACKHAND1/5
SLAP0/2
TIP IN0/2
OTHER0/11
SJS
WRIST2/30
BACKHAND1/5
SLAP1/6
TIP IN1/4
OTHER0/15
DAL
SJS
Off the rush
2 G on 16 · 1.79 xG
3 G on 26 · 2.64 xG
Off rebounds
1 G on 5 · 1.33 xG
0 G on 6 · 1.04 xG

Wrist shots carried the volume: DAL went 3-for-22, SJS 2-for-30. SJS scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Celebrini
#71 · C · SJS
0 G · 3 A · 4 SOG · 27:39 TOI
T. Toffoli
#73 · C · SJS
2 G · 1 A · 5 SOG · 19:28 TOI · -1
M. Rantanen
#96 · R · DAL
1 G · 1 A · 3 SOG · 21:35 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • Open game — 15 high-danger chances combined (SJS 8, DAL 7).
  • SJS was lethal off the rush — 3 goals on 26 rush chances.
  • DAL was lethal off the rush — 2 goals on 16 rush chances.
  • SJS created 6 rebound opportunities (0 converted) — crashing the net effectively.
  • DAL created 5 rebound opportunities (1 converted) — crashing the net effectively.
  • SJS power play was dominant — 4 PPG on 14 PP shots (1.10 xG).
Before the game — the model's pre-game read
Preview · DAL at SJS · 4:00 PM ET

Stars at Sharks: a genuine coin flip

By the ModelJul 12, 12:04 AMEdited for clarity
Win probability

The model's lean

51%
DAL
Model favorite
51%
49%
DAL50SJS

DAL by 2 points of win probability — effectively a coin flip. Projected score DAL 2.52.4 SJS; 19% chance it's tied after 60.

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

Tale of the tape

DAL← edge
edge →SJS
51.0%5v5 xG%48.0%
47.0%Corsi%47.0%
2.36xGF / 602.33
2.29xGA / 602.56
2.07Goals for / gm1.99
1.68Goals against / gm2.32
1.024PDO — luck, not skill0.998

DAL holds 5 of 6 process categories — and PDO (1.024 vs 0.998) says DAL has run hotter.

Source · MoneyPuck season tables · 5v5

This is as close to a pick'em as you'll find. The model projects DAL 2.5 - 2.4 SJS with the Stars at 50% win probability, meaning neither team has a meaningful edge in expected outcome.

The underlying play slightly favors Dallas. The Stars own 51.0% xG at 5v5, while San Jose sits at 48.0%. That's a measurable edge in shot quality, but not decisive — Corsi% is dead even at 47.0% for both teams, suggesting the Stars are converting chances at a higher rate than their volume would normally dictate. Dallas's PDO of 1.024 confirms it: they're running hot, and some regression is likely. San Jose's 0.998 PDO is exactly neutral, meaning they're getting what their underlying play deserves.

The Stars' advantage is real but fragile. Regression alone could swing this game.

On the Dallas side, Jason Robertson remains the team's engine, posting 0.96 xG/60 with 25G 21A and a shooting percentage of 12.4% across 2 HD goals. Michael Bunting offers secondary production at 0.83 xG/60 and 8G 14A, though his 7.6% shooting rate leaves room for variance. Dallas's offensive structure is a warning sign: 0% HD goals and 0% rebound goals means they're generating nothing but primary chances. Their defense faces a liability in Tyler Myers.

San Jose's offensive picture is constrained by injuries. Pavol Regenda, who led their scoring with 1.10 xG/60, 5G 1A, and 2 HD goals at a 16.1% shooting rate, is likely out. Igor Chernyshov, posting 0.91 xG/60, 6G 8A, and 1 HD goal with a 15.0% shooting rate, becomes the default scoring focal point — but he's also listed as San Jose's defensive weak link, creating a dual vulnerability. The Sharks mirror Dallas's offensive limitation: 0% HD goals, 0% rebound goals, another team struggling to generate secondary scoring avenues.

Both teams are one-dimensional offensively and bleeding depth. Dallas has the better foundation, but its PDO advantage is borrowed time. San Jose, despite losing Regenda, remains dangerous because it has no other choice. The Stars project to outscore them by a tenth of a goal—basically variance.

Computed danger · scouting

Players to watch

DAL
Jason Robertson25G 21A
0.96 xG/60 · 2 HD · 12.4% sh
Michael Bunting8G 14A
0.83 xG/60 · 0 HD · 7.6% 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