Backcheck
Recap · CHI at DAL

Stars run the Blackhawks off the ice on the underlying numbers

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

By the ModelJul 12, 6:15 AMxG: xgboost-0.758Edited for clarity
Away
CHI
Chicago Blackhawks
3
Home
DAL
Dallas Stars
4
FINAL / OT
Process vs result

The underlying story

2.17Expected goals3.92
64% share for the better side
19Shot attempts (SOG)31
2High-danger chances5
38Corsi (all attempts)64
Score-adjusted: 35% / 65%
Source · NHL play-by-play · XGBoost xG

Dallas won 4-3 in overtime. The underlying play showed a wider gap: the Stars commanded 64% of 5v5 expected goals (3.92–2.17), held 62% of shot attempts (31–19), and led 5–2 in high-danger chances.

A. Soderblom (CHI) was impenetrable on high-danger looks: 100% save percentage on five of them, finishing 27–31 (0.871 SV%). C. DeSmith (DAL) posted 16–19 (0.842 SV%, -0.83 vs expected).

Chicago overperformed its xG by 0.83 goals, scoring three on 2.17 expected. Dallas wasted their scoring chances: 0–5 on high-danger attempts. Both teams scored twice off the rush, but Dallas burned 31 chances to Chicago's 20 — a gap that highlighted Dallas's inefficiency from their best spots.

Miro Heiskanen's backhander from the slot at 00:22 of overtime ended it.

Three Stars:

  • #91 F. Nazar (CHI) — 2A in 18:48
  • #86 T. Teravainen (CHI) — 2A in 18:22
  • #22 M. Bourque (DAL) — 1G, 1A in 17:20
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CHI0 / 2 · 0.47 xG
DAL0 / 5 · 1.40 xG
Medium dangermid-range
CHI2 / 13 · 1.40 xG
DAL4 / 20 · 2.11 xG
Low dangerperimeter & point
CHI1 / 23 · 0.30 xG
DAL0 / 39 · 0.42 xG

DAL went 4-for-20 from medium danger on 2.11 expected goals — 1.9 above expected.

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

Finishing vs expected

expectedactual
CHI
3 G · 2.17 xG · +0.8
DAL
4 G · 3.92 xG · +0.1
012345
Goalies · GSAx (goals saved above expected)
A. SoderblomCHI
-0.1
C. DeSmithDAL
-0.8

CHI finished +0.8 against expected, DAL +0.1 — C. DeSmith (DAL) allowed 0.8 more goals than expected.

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

Shot diet

goalsshots
CHI
SNAP2/17
TIP IN1/4
BACKHAND0/2
SLAP0/2
WRIST0/1
DEFLECTED0/2
BETWEEN LEGS0/1
OTHER0/9
DAL
SNAP0/20
TIP IN1/8
BACKHAND3/6
SLAP0/5
WRIST0/3
DEFLECTED0/0
BETWEEN LEGS0/0
OTHER0/22
CHI
DAL
Off the rush
2 G on 20 · 1.73 xG
2 G on 31 · 3.29 xG
Off rebounds
0 G on 1 · 0.23 xG
1 G on 3 · 0.45 xG

Snap shots carried the volume: CHI went 2-for-17, DAL 0-for-20. CHI scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
F. Nazar
#91 · C · CHI
0 G · 2 A · 3 SOG · 18:48 TOI · +1
T. Teravainen
#86 · C · CHI
0 G · 2 A · 2 SOG · 18:22 TOI · +3
M. Bourque
#22 · C · DAL
1 G · 1 A · 3 SOG · 17:20 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • DAL couldn't convert — 0/5 on high-danger chances. That won't happen often.
  • DAL was lethal off the rush — 2 goals on 31 rush chances.
  • CHI was lethal off the rush — 2 goals on 20 rush chances.
  • DAL created 3 rebound opportunities (1 converted) — crashing the net effectively.
  • A. Soderblom was a wall on HD chances — 100% SV on 5 high-danger shots.
Before the game — the model's pre-game read
Preview · CHI at DAL · 6:00 PM ET

The Stars are the model's lean over the Blackhawks — with PDO regression in play

By the ModelJul 12, 6:13 AMEdited for clarity
Win probability

The model's lean

59%
DAL
Model favorite
41%
59%
CHI50DAL

DAL by 18 points of win probability — a clear lean. Projected score CHI 2.22.8 DAL; 18% chance it's tied after 60.

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

Tale of the tape

CHI← edge
edge →DAL
42.0%5v5 xG%51.0%
46.0%Corsi%47.0%
2.17xGF / 602.36
2.94xGA / 602.29
1.84Goals for / gm2.07
2.41Goals against / gm1.68
0.996PDO — luck, not skill1.024

DAL holds 6 of 6 process categories — and PDO (0.996 vs 1.024) says DAL has run hotter.

Source · MoneyPuck season tables · 5v5

The model backs Dallas: 60% win probability in a projected 2.2–2.8 environment for Chicago. The Stars' dominance in underlying play explains the gap, but Dallas also carries regression risk in a way Chicago does not.

Dallas owns the shot quality battle. At 5v5, the Stars hold 51.0% expected goals share to Chicago's 42.0%. The teams' Corsi numbers are nearly identical—Dallas at 47.0%, Chicago at 46.0%—meaning the gap isn't about shot volume but shot danger. Dallas is manufacturing better chances from similar possession.

Form tilts Dallas's way. The Stars are 9-0-1 in their last ten games, while Chicago sits at minus-12 goal differential over the same stretch. That gap suggests Dallas's underlying play is converting and Chicago's is leaking.

The catch is PDO. Dallas runs a 1.024 mark, meaning the Stars are outscoring expectation—luck inflated, with regression the likely outcome. Chicago's 0.996 PDO sits near perfect expectation, meaning their underlying play and results are aligned.

Goaltending adds volatility. Both J. Oettinger and A. Soderblom arrive on back-to-backs, creating a real risk of backup starts or fatigued starters on either side.

Dallas's Jason Robertson is the tier-one threat. At 0.96 expected goals per 60, 25 goals, and 21 assists, Robertson generates elite volume; his 12.4% shooting converts expected chances into goals at a league-best clip. Michael Bunting (0.83 xG/60, 8 goals) adds depth, though his 7.6% shooting lacks Robertson's potency.

Chicago fields Tyler Bertuzzi at 0.85 xG/60 with 20 goals, 15 assists, and 18.0% shooting—aggressive conversion for his volume. Connor Bedard's 17 goals and 27 assists at 0.82 xG/60 reveal an 11.8% shooting rate, meaning his assist totals mask lower-volume finish. Bertuzzi carries 7 high-danger goals versus Robertson's 2, a gap that reflects different scoring patterns.

Anton Frondell marks Chicago's defensive weakness; Tyler Myers occupies that spot for Dallas.

The model's edge is defensible. PDO regression and goaltending risk compress Dallas's advantage. This game should follow the projection, but volatility is real.

Computed danger · scouting

Players to watch

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
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
Source · MoneyPuck skaters