Backcheck
Recap · CHI at BOS

Bruins edge the Blackhawks in overtime

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

By the ModelJun 16, 2:04 PMxG: xgboost-0.758Edited for clarity
Away
CHI
Chicago Blackhawks
3
Home
BOS
Boston Bruins
4
FINAL / OT
Process vs result

The underlying story

2.75Expected goals4.12
60% share for the better side
24Shot attempts (SOG)33
3High-danger chances5
51Corsi (all attempts)56
Score-adjusted: 48% / 52%
Source · NHL play-by-play · XGBoost xG

Boston's 4-3 overtime victory over Chicago was built on a quality advantage that extended far beyond the final shot count. The Bruins generated 60% of expected goals (4.12–2.75 xG) while holding a 58% share of shot attempts (33–24). More importantly, they were significantly more efficient: each Bruins shot carried 0.074 expected goals compared to Chicago's 0.054—a gap that reflects their dominance in creating dangerous chances.

The Bruins converted this advantage ruthlessly where it mattered most. They scored on 40% of their high-danger chances (2 of 5) and were lethal on the rush, netting 3 goals on 29 opportunities. Chicago, despite outshooting Boston on the rush (3 goals on 23 chances), couldn't replicate that efficiency across the full ice surface.

Fraser Minten's snap shot from the high slot with 2:12 remaining in overtime provided the margin. It was the kind of chance—from the danger area—that Boston created with relentless consistency throughout the night.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CHI0 / 3 · 0.64 xG
BOS2 / 5 · 1.09 xG
Medium dangermid-range
CHI2 / 14 · 1.73 xG
BOS2 / 23 · 2.67 xG
Low dangerperimeter & point
CHI1 / 34 · 0.38 xG
BOS0 / 28 · 0.36 xG

BOS went 2-for-5 from high danger on 1.09 expected goals — 0.9 above expected.

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

Finishing vs expected

expectedactual
CHI
3 G · 2.75 xG · +0.3
BOS
4 G · 4.12 xG · -0.1
012345
Goalies · GSAx (goals saved above expected)
A. SoderblomCHI
+0.1
J. KorpisaloBOS
-0.2

CHI finished +0.3 against expected, BOS -0.1 — J. Korpisalo (BOS) allowed 0.2 more goals than expected.

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

Shot diet

goalsshots
CHI
SNAP1/3
WRIST1/26
TIP IN0/3
SLAP1/1
BACKHAND0/1
POKE0/1
OTHER0/16
BOS
SNAP3/33
WRIST1/4
TIP IN0/5
SLAP0/4
BACKHAND0/2
POKE0/0
OTHER0/8
CHI
BOS
Off the rush
3 G on 23 · 2.19 xG
3 G on 29 · 2.61 xG
Off rebounds
0 G on 2 · 0.24 xG
1 G on 5 · 1.04 xG

Snap shots carried the volume: CHI went 1-for-3, BOS 3-for-33. CHI scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
C. Bedard
#98 · C ·
1 G · 1 A · 2 SOG · 21:54 TOI · +1
A. Burakovsky
#28 · L ·
1 G · 1 A · 2 SOG · 15:41 TOI
P. Zacha
#18 · C ·
0 G · 1 A · 0 SOG · 21:31 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • BOS generated far more dangerous chances — 0.074 xG/shot vs 0.054. Quality over quantity.
  • BOS was clinical in the high-danger zone — 2/5 on HD chances (40%).
  • BOS was lethal off the rush — 3 goals on 29 rush chances.
  • CHI was lethal off the rush — 3 goals on 23 rush chances.
  • BOS created 5 rebound opportunities (1 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · CHI at BOS · 7:00 PM ET

The Bruins are the model's lean over the Blackhawks — and regression is coming

By the ModelJun 16, 2:03 PMEdited for clarity
Win probability

The model's lean

56%
BOS
Model favorite
44%
56%
CHI50BOS

BOS by 12 points of win probability — a modest lean. Projected score CHI 2.42.8 BOS; 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 →BOS
42.0%5v5 xG%47.0%
46.0%Corsi%49.0%
2.17xGF / 602.39
2.94xGA / 602.67
1.84Goals for / gm2.22
2.41Goals against / gm1.82
0.996PDO — luck, not skill1.023

BOS holds 6 of 6 process categories — and PDO (0.996 vs 1.023) says BOS has run hotter.

Source · MoneyPuck season tables · 5v5

The model gives Boston a 56% win probability, projecting a 2.4–2.8 scoreline in their favor. The Bruins have the underlying advantage and recent form to back it up, but their success is built partially on luck that won't last.

Boston dominates at 5v5, generating 47.0% of expected goals compared to Chicago's 42.0%, with a 49.0% Corsi% that confirms they're controlling the game. A five-percentage-point edge in expected goals is the kind of gap that drives wins. Add recent form—Boston is 5-1-1 over their last 10 games—and the Bruins look like clear favorites.

The problem is sustainability. Boston's PDO of 1.023 means they're outperforming their underlying metrics, a function of unsustainable luck in shooting and goaltending. Chicago sits at 0.996, much closer to what their play deserves. When regression hits Boston, and it will, the margin shrinks.

Complicating Boston's edge is J. Swayman's back-to-back situation. That opens the door to either a backup appearance or an underperforming starter—a material advantage for Chicago.

Chicago's offensive punch comes from two sources. Tyler Bertuzzi generates 0.85 expected goals per 60 minutes with 20 goals and 15 assists on an 18.0% shooting rate, backed by 7 high-danger chances. Connor Bedard sits slightly behind at 0.82 xG/60 with 17 goals and 27 assists on an 11.8% shooting rate.

Boston's reply is Viktor Arvidsson, who leads the matchup at 1.04 xG/60 with 18 goals and 24 assists. Mark Kastelic supports the attack at 0.89 xG/60, contributing 10 goals and 7 assists.

The model's lean on Boston is justified. The Bruins own the underlying play. The risk is variance—a worn Swayman, or a PDO correction that erases the illusion of dominance. Watch for both.

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
BOS
Viktor Arvidsson18G 24A
1.04 xG/60 · 2 HD · 13.0% sh
Mark Kastelic10G 7A
0.89 xG/60 · 3 HD · 12.0% sh
Source · MoneyPuck skaters