Backcheck
Recap · CHI at STL

Blackhawks run the Blues off the ice on the underlying numbers

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

By the ModelJun 16, 2:48 PMxG: xgboost-0.758Edited for clarity
Away
CHI
Chicago Blackhawks
8
Home
STL
St. Louis Blues
3
FINAL
Process vs result

The underlying story

4.54Expected goals2.92
61% share for the better side
29Shot attempts (SOG)26
9High-danger chances3
55Corsi (all attempts)55
Score-adjusted: 44% / 56%
Source · NHL play-by-play · XGBoost xG

Chicago won 8–3 and overperformed their expected goals by 3.46—a finishing display that transformed an already commanding advantage into a rout.

The underlying advantage was substantial. Chicago controlled 61% of expected goals (4.54–2.92) and out-generated St. Louis 9–3 in high-danger chances. But the real separator was shot quality: Chicago averaged 0.083 expected goals per shot; St. Louis managed 0.053. That efficiency gap made the scoreline inevitable.

St. Louis owned 47% of shot attempts, a reasonable volume share. Their problem was composition. They scored twice from low-danger areas—the type of goal that opposing goaltenders are supposed to deny. Against a team as efficient as Chicago, that discipline gap compounds.

Chicago's rush conversion was particularly lethal: 7 goals on 30 rush chances. A. Soderblom (23/26 saves, 0.885 SV%) provided the goaltending stability Chicago needed.

St. Louis's goaltending collapse explains much of the margin. J. Hofer allowed 3.55 goals above expected, a historic underperformance. J. Binnington (6/7 saves, 0.857 SV%) posted a 3.5 goal save above expected, but he arrived too late to matter.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CHI2 / 9 · 2.45 xG
STL0 / 3 · 0.60 xG
Medium dangermid-range
CHI3 / 16 · 1.63 xG
STL1 / 16 · 1.61 xG
Low dangerperimeter & point
CHI3 / 30 · 0.47 xG
STL2 / 36 · 0.71 xG

CHI went 3-for-30 from low danger on 0.47 expected goals — 2.5 above expected.

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

Finishing vs expected

expectedactual
CHI
8 G · 4.54 xG · +3.5
STL
3 G · 2.92 xG · +0.1
0123456789
Goalies · GSAx (goals saved above expected)
A. SoderblomCHI
-0.1
J. HoferSTL
-3.6
J. BinningtonSTL
+0.1

CHI finished +3.5 against expected, STL +0.1 — J. Hofer (STL) allowed 3.6 more goals than expected.

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

Shot diet

goalsshots
CHI
WRIST4/28
TIP IN2/3
SNAP1/5
SLAP0/3
BACKHAND0/3
POKE1/1
OTHER0/12
STL
WRIST3/21
TIP IN0/8
SNAP0/6
SLAP0/5
BACKHAND0/2
POKE0/1
OTHER0/12
CHI
STL
Off the rush
7 G on 30 · 3.00 xG
1 G on 27 · 2.12 xG
Off rebounds
1 G on 5 · 0.93 xG
1 G on 4 · 0.48 xG

Wrist shots carried the volume: CHI went 4-for-28, STL 3-for-21. CHI scored 7 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
C. Bedard
#98 · C ·
0 G · 3 A · 1 SOG · 18:57 TOI · +1
L. Reichel
#73 · L ·
2 G · 1 A · 5 SOG · 13:11 TOI · +2
A. Vlasic
#72 · D ·
0 G · 2 A · 0 SOG · 22:07 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • STL had the shot volume but the chances weren't dangerous.
  • J. Hofer (STL) gave up 3.6 goals more than expected — well below their workload.
  • CHI had the higher quality looks — 0.083 xG/shot vs 0.053.
  • STL scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • CHI scored 3 goals from low-danger spots — the opposing goalie needs to have those.
  • CHI was lethal off the rush — 7 goals on 30 rush chances.
  • STL created 4 rebound opportunities (1 converted) — crashing the net effectively.
  • CHI created 5 rebound opportunities (1 converted) — crashing the net effectively.
  • CHI outperformed their expected goals by 3.5 — elite finishing or lucky bounces.
  • J. Binnington (STL) saved 3.5 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · CHI at STL · 9:30 PM ET

The Blues are the model's lean over the Blackhawks on the underlying numbers

By the ModelJun 16, 2:46 PMEdited for clarity
Win probability

The model's lean

58%
STL
Model favorite
42%
58%
CHI50STL

STL by 16 points of win probability — a clear lean. Projected score CHI 2.32.8 STL; 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 →STL
42.0%5v5 xG%49.0%
46.0%Corsi%48.0%
2.17xGF / 602.34
2.94xGA / 602.40
1.84Goals for / gm2.00
2.41Goals against / gm2.12
0.996PDO — luck, not skill1.000

STL holds 6 of 6 process categories — and PDO (0.996 vs 1.000) says STL has run hotter.

Source · MoneyPuck season tables · 5v5

St. Louis is favored here. The model projects a 2.3–2.8 goal game with the Blues at 58% win probability. That edge stems from one fact: St. Louis owns the 5v5 underlying play.

The Blues generate 49.0% expected goals at even strength against Chicago's 42.0%. Seven points of xG% translates to offensive consistency and defensive discipline. Corsi numbers reinforce this — St. Louis holds 48.0% possession to Chicago's 46.0%. Both teams' PDO values (0.996 and 1.000) suggest neither is over- or under-performing shot quality, making these edges predictive rather than fluky.

Chicago's offense concentrates on two dangerous forwards. Tyler Bertuzzi generates 0.85 expected goals per 60 minutes with 20 goals and 15 assists; his 18.0% shooting rate implies regression coming. Connor Bedard posts 17 goals and 27 assists on 0.82 xG/60; his 11.8% shooting suggests similar variance room. Both are high-volume threats operating at sustainable but not unsustainable rates.

St. Louis counters with similar firepower spread wider. Jimmy Snuggerud delivers 0.86 xG/60 alongside 15 goals and 22 assists (11.9% shooting), while Dylan Holloway mirrors his per-60 at 0.82 xG/60 with 13 goals, 24 assists, and 10.8% shooting. The Blues distribute scoring load across multiple threats rather than concentrating it.

Goaltending creates an opening for Chicago. S. Knight faces a back-to-back, risking either fatigue or a backup start. Chicago's window to exploit this comes early, before St. Louis's structural dominance settles the game. Miss it and the task becomes nearly impossible.

What separates these teams is consistency in the metrics that drive wins — shot generation, shot prevention, possession. Chicago has the talent to steal games, but the underlying numbers strongly favor a Blues victory that feels earned rather than won on variance.

Three Things to Watch

  • Whether S. Knight starts and how fatigue affects his performance in net.
  • Chicago's early-game execution — they must score before St. Louis's dominant structure suffocates the game.
  • The xG% race staying true to the 49.0%–42.0% gap or tightening unexpectedly.
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
STL
Jimmy Snuggerud15G 22A
0.86 xG/60 · 2 HD · 11.9% sh
Dylan Holloway13G 24A
0.82 xG/60 · 1 HD · 10.8% sh
Source · MoneyPuck skaters