Backcheck
Recap · OTT at NJD

Devils edge the Senators in overtime

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

By the ModelJun 16, 1:19 PMxG: xgboost-0.758Edited for clarity
Away
OTT
Ottawa Senators
3
Home
NJD
New Jersey Devils
4
FINAL / OT
Process vs result

The underlying story

3.55Expected goals4.48
56% share for the better side
30Shot attempts (SOG)30
4High-danger chances7
46Corsi (all attempts)59
Score-adjusted: 45% / 55%
Source · NHL play-by-play · XGBoost xG

Ottawa's efficiency in transition—three goals on 28 rush attempts—should have stolen the game, yet New Jersey's dominance in overall play proved decisive. The Devils controlled 56% of expected goals (4.48–3.55) and generated seven high-danger chances to four, establishing a clear advantage that Ottawa couldn't overcome despite their sharp transition scoring.

Goaltending tilted the ice. N. Daws stopped 27 of 30 (0.900 SV%, +0.55 vs expected), outperforming J. Reimer's 26 of 30 (0.867 SV%). That one-save margin reflected how completely New Jersey dominated the play.

New Jersey crashed the net relentlessly—six rebound opportunities, two converted—building physical pressure that overwhelmed the Senators' transition game. Ottawa managed only two goals on 32 rush attempts, insufficient to overcome New Jersey's grinding control of the ice. Nico Hischier's backhander from the doorstep—at 03:18 of overtime—sealed the win.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
OTT1 / 4 · 0.90 xG
NJD2 / 7 · 1.52 xG
Medium dangermid-range
OTT2 / 19 · 2.09 xG
NJD2 / 20 · 2.34 xG
Low dangerperimeter & point
OTT0 / 23 · 0.56 xG
NJD0 / 32 · 0.62 xG

NJD went 0-for-32 from low danger on 0.62 expected goals — 0.6 left on the table.

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

Finishing vs expected

expectedactual
OTT
3 G · 3.55 xG · -0.6
NJD
4 G · 4.48 xG · -0.5
012345
Goalies · GSAx (goals saved above expected)
J. ReimerOTT
+0.5
N. DawsNJD
+0.6

OTT finished -0.6 against expected, NJD -0.5 — N. Daws (NJD) saved 0.6 goals above expected.

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

Shot diet

goalsshots
OTT
WRIST1/8
SLAP1/13
SNAP0/8
BACKHAND0/4
TIP IN1/6
DEFLECTED0/0
OTHER0/7
NJD
WRIST2/26
SLAP0/4
SNAP0/7
BACKHAND2/7
TIP IN0/4
DEFLECTED0/1
OTHER0/10
OTT
NJD
Off the rush
3 G on 28 · 2.64 xG
2 G on 32 · 3.09 xG
Off rebounds
0 G on 2 · 0.40 xG
2 G on 6 · 0.78 xG

Wrist shots carried the volume: OTT went 1-for-8, NJD 2-for-26. OTT scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
N. Hischier
#13 · C ·
2 G · 1 A · 5 SOG · 22:40 TOI · +1
J. Hughes
#86 · C ·
0 G · 2 A · 3 SOG · 25:32 TOI
D. Mercer
#91 · C ·
1 G · 1 A · 5 SOG · 18:56 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • NJD was lethal off the rush — 2 goals on 32 rush chances.
  • OTT was lethal off the rush — 3 goals on 28 rush chances.
  • NJD created 6 rebound opportunities (2 converted) — crashing the net effectively.
Before the game — the model's pre-game read
Preview · OTT at NJD · 7:00 PM ET

Senators at Devils: a genuine coin flip

By the ModelJun 16, 1:21 PMEdited for clarity
Win probability

The model's lean

53%
OTT
Model favorite
53%
47%
OTT50NJD

OTT by 6 points of win probability — a modest lean. Projected score OTT 2.62.4 NJD; 18% chance it's tied after 60.

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

Tale of the tape

OTT← edge
edge →NJD
56.0%5v5 xG%50.0%
53.0%Corsi%51.0%
2.66xGF / 602.45
2.12xGA / 602.50
2.18Goals for / gm1.66
1.99Goals against / gm2.23
0.993PDO — luck, not skill0.971

OTT holds 6 of 6 process categories — and PDO (0.993 vs 0.971) says OTT has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.6-2.4 Ottawa advantage with New Jersey at 47% win probability—as close to a pick'em as you'll find.

Ottawa dominates the underlying play. They're generating 56.0% of expected goals at 5v5 against 50.0% for New Jersey, and that advantage spreads across metrics: 53.0% Corsi compared to 51.0% tells the same story. But New Jersey's PDO of 0.971 signals they're running cold. Positive regression is due.

Goaltending could tilt the scales. J. Allen and L. Ullmark are both on back-to-backs. How their teams manage—backup start, tired starter, or rest—could decide a game this close.

Brady Tkachuk is Ottawa's most dangerous player. He's at 1.19 expected goals per 60 minutes with 11 goals and 20 assists, including 2 high-danger goals, converting at 7.5%—a shooting clip that suggests he's finishing clean chances. Dylan Cozens owns 1.00 xG per 60 with 13 goals, 15 assists, and 1 high-danger goal, but he's shooting 9.5%, an outlier that could sustain or evaporate.

New Jersey's offense runs through Timo Meier and Jack Hughes. Meier's 1.08 xG per 60 comes with 13 goals, 15 assists, 3 high-danger goals, and a 6.7% shooting rate—he's converting efficiently. Hughes leads both teams in goals with 18 (17 assists) but sits at 0.88 xG per 60 and an elite 11.5% shot; he's finding space even when underlying numbers don't suggest it.

Neither team generates many high-danger or rebound goals, indicating tight play and disciplined defense. Nick Jensen is Ottawa's defensive weak link; Johnathan Kovacevic is New Jersey's. In a coin flip, those vulnerabilities could matter.

Three Stars to Watch:

  • Brady Tkachuk — 1.19 xG/60 and 2 high-danger goals represent the sharpest finishing on either side
  • J. Allen and L. Ullmark — both on back-to-backs; goaltending fatigue could decide a coin flip
  • Jack Hughes — 18 goals on 0.88 xG/60; his efficiency margin disappears in a tight game
Computed danger · scouting

Players to watch

OTT
Brady Tkachuk11G 20A
1.19 xG/60 · 2 HD · 7.5% sh
Dylan Cozens13G 15A
1.00 xG/60 · 1 HD · 9.5% sh
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
Source · MoneyPuck skaters