Backcheck
Recap · NJD at CBJ

Devils hold off the Blue Jackets

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

By the ModelJun 16, 2:37 PMxG: xgboost-0.758Edited for clarity
Away
NJD
New Jersey Devils
3
Home
CBJ
Columbus Blue Jackets
2
FINAL
Process vs result

The underlying story

3.88Expected goals3.32
54% share for the better side
28Shot attempts (SOG)33
5High-danger chances1
56Corsi (all attempts)70
Score-adjusted: 42% / 58%
Source · NHL play-by-play · XGBoost xG

Columbus dominated the shot ledger—54 percent of attempts (33-28 on goal)—yet lost. This scoreline was not a variance coin flip but a true win for New Jersey's offense.

The Blue Jackets' 3.32 expected goals trailed New Jersey's 3.88—a gap rooted entirely in shot quality. New Jersey's 0.069 expected goals per attempt beat Columbus's 0.047. High-danger chances split even more severely: New Jersey five, Columbus one. J. Markstrom (NJD) stopped 2.3 goals above expected, and J. Greaves (CBJ) saved 1.88. J. Allen (NJD) was 1.41 above expected.

The Blue Jackets underperformed their xG by 1.32 goals. New Jersey underperformed by 0.88. But neither team's shot variance decided the game—New Jersey's superior shot quality and clinical finishing did. Dmitri Voronkov's doorstep poke in the third period (19:39) clinched it.

D. Mercer delivered 2 goals in 16:35. New Jersey's power play proved decisive: two goals on seven attempts, 0.57 expected goals generated.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
NJD1 / 5 · 1.81 xG
CBJ0 / 1 · 0.22 xG
Medium dangermid-range
NJD1 / 13 · 1.47 xG
CBJ2 / 23 · 2.39 xG
Low dangerperimeter & point
NJD1 / 38 · 0.60 xG
CBJ0 / 46 · 0.71 xG

NJD went 1-for-5 from high danger on 1.81 expected goals — 0.8 left on the table.

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

Finishing vs expected

expectedactual
NJD
3 G · 3.88 xG · -0.9
CBJ
2 G · 3.32 xG · -1.3
012345
Goalies · GSAx (goals saved above expected)
J. MarkstromNJD
-0.1
J. AllenNJD
+1.4
J. GreavesCBJ
+1.9

NJD finished -0.9 against expected, CBJ -1.3 — J. Greaves (CBJ) saved 1.9 goals above expected.

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

Shot diet

goalsshots
NJD
WRIST2/24
SNAP0/9
SLAP1/2
BACKHAND0/3
TIP IN0/5
BAT0/0
POKE0/0
OTHER0/13
CBJ
WRIST1/21
SNAP0/14
SLAP0/6
BACKHAND0/4
TIP IN0/1
BAT0/2
POKE1/1
OTHER0/21
NJD
CBJ
Off the rush
1 G on 21 · 2.04 xG
1 G on 26 · 1.91 xG
Off rebounds
0 G on 0 · 0.00 xG
1 G on 5 · 0.74 xG

Wrist shots carried the volume: NJD went 2-for-24, CBJ 1-for-21.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
D. Mercer
#91 · C ·
2 G · 0 A · 4 SOG · 16:35 TOI · +1
K. Marchenko
#86 · R ·
1 G · 0 A · 5 SOG · 24:24 TOI
I. Provorov
#9 · D ·
0 G · 1 A · 2 SOG · 21:05 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • CBJ had the shot volume but the chances weren't dangerous.
  • J. Allen (NJD) stopped 1.4 goals above expected.
  • NJD had the higher quality looks — 0.069 xG/shot vs 0.047.
  • CBJ created 5 rebound opportunities (1 converted) — crashing the net effectively.
  • J. Markstrom (NJD) saved 2.3 goals above expected — stole the show.
  • J. Allen (NJD) saved 2.3 goals above expected — stole the show.
  • J. Greaves (CBJ) saved 1.9 goals above expected — stole the show.
  • NJD power play was dominant — 2 PPG on 7 PP shots (0.57 xG).
Before the game — the model's pre-game read
Preview · NJD at CBJ · 7:00 PM ET

Devils at Blue Jackets: a genuine coin flip

By the ModelJun 16, 2:36 PMEdited for clarity
Win probability

The model's lean

54%
CBJ
Model favorite
46%
54%
NJD50CBJ

CBJ by 8 points of win probability — a modest lean. Projected score NJD 2.42.7 CBJ; 18% chance it's tied after 60.

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

Tale of the tape

NJD← edge
edge →CBJ
50.0%5v5 xG%52.0%
51.0%Corsi%51.0%
2.45xGF / 602.63
2.50xGA / 602.43
1.66Goals for / gm2.12
2.23Goals against / gm1.98
0.971PDO — luck, not skill1.003

CBJ holds 6 of 6 process categories — and PDO (0.971 vs 1.003) says CBJ has run hotter.

Source · MoneyPuck season tables · 5v5

Columbus enters this matchup with a 54% win probability in a game the model projects at 2.4-2.7 goals—about as close to a pick'em as you'll find.

The teams are evenly matched in play-driving metrics. New Jersey owns a 50.0% expected-goals share at 5v5, while Columbus sits at 52.0%. Corsi rates are identical at 51.0% on both sides. Where the teams diverge is in conversion efficiency: New Jersey's 0.971 PDO suggests the Devils are running cold and due for positive regression, while Columbus's 1.003 PDO indicates they're getting fortunate.

New Jersey's offense is fronted by Jack Hughes, who has 18 goals and 17 assists. He generates 0.88 expected goals per 60 minutes with an 11.5% shooting rate. Timo Meier provides secondary scoring at 1.08 xG/60 with 13 goals and 15 assists, though he's shooting at just 6.7%—a mark that should climb.

Columbus's counterattack centers on Boone Jenner, who has 11 goals and 21 assists while generating 0.98 xG/60 at a 9.6% shooting rate. Mathieu Olivier would be a secondary option at 0.89 xG/60 with 12 goals and a 13.3% shooting rate, but he's week-to-week with an upper-body injury and unlikely to play.

New Jersey's defensive concern is Johnathan Kovacevic, while Columbus's is Conor Garland. The PDO split is the decisive variable: New Jersey's luck deficit opens a path to victory, while Columbus's luck surplus can vanish in an instant. This is the rarest of matchups—predictable on paper, unpredictable in practice.

Computed danger · scouting

Players to watch

NJD
Timo Meier13G 15A
1.08 xG/60 · 3 HD · 6.7% sh
Jack Hughes18G 17A
0.88 xG/60 · 1 HD · 11.5% sh
CBJ
Boone Jenner11G 21A
0.98 xG/60 · 2 HD · 9.6% sh
Mathieu Olivier12G 9A
0.89 xG/60 · 1 HD · 13.3% sh
Source · MoneyPuck skaters