Backcheck
Recap · OTT at BOS

Bruins edge the Senators in overtime

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

By the ModelJul 11, 2:46 PMxG: xgboost-0.758Edited for clarity
Away
OTT
Ottawa Senators
2
Home
BOS
Boston Bruins
3
FINAL / OT
Process vs result

The underlying story

2.61Expected goals3.23
55% share for the better side
22Shot attempts (SOG)25
5High-danger chances4
50Corsi (all attempts)59
Score-adjusted: 46% / 54%
Source · NHL play-by-play · XGBoost xG

The Senators generated more high-danger chances (5 to 4) yet lost 3-2 in overtime. That gap between opportunity and outcome is why Boston's 55% share of 5v5 expected goals (3.23–2.61) held firm.

Korpisalo (BOS) was the difference. He stopped all five Senators high-danger shots on 22 total saves, posting a 0.909 save percentage (+0.61 versus expected). Ullmark (OTT) turned aside 22/25 at 0.880, a respectable line against a team with better finishing.

Boston's edge was ruthless: 2/4 on high-danger chances (50%). Ottawa: 0/5. The Senators excelled elsewhere—two goals on 20 rush chances, three rebound opportunities generated—but the high-danger math did not follow. In a one-goal game, that conversion gap was everything.

Pavel Zacha ended it at 04:54 of overtime, poking home from the doorstep.

Boston also controlled shot attempts 25–22 (53% share). No single metric ran away, but the Bruins' finishing at close range while Ottawa's misfired sealed the result.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
OTT0 / 5 · 1.16 xG
BOS2 / 4 · 1.17 xG
Medium dangermid-range
OTT1 / 9 · 1.06 xG
BOS1 / 14 · 1.46 xG
Low dangerperimeter & point
OTT1 / 36 · 0.38 xG
BOS0 / 41 · 0.59 xG

OTT went 0-for-5 from high danger on 1.16 expected goals — 1.2 left on the table.

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

Finishing vs expected

expectedactual
OTT
2 G · 2.61 xG · -0.6
BOS
3 G · 3.23 xG · -0.2
01234
Goalies · GSAx (goals saved above expected)
L. UllmarkOTT
+0.2
J. KorpisaloBOS
+0.6

OTT finished -0.6 against expected, BOS -0.2 — J. Korpisalo (BOS) saved 0.6 goals above expected.

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

Shot diet

goalsshots
OTT
WRIST1/22
SNAP1/8
SLAP0/0
BACKHAND0/3
TIP IN0/0
POKE0/0
DEFLECTED0/1
WRAP AROUND0/0
OTHER0/16
BOS
WRIST1/21
SNAP0/5
SLAP0/6
BACKHAND0/1
TIP IN0/4
POKE2/2
DEFLECTED0/0
WRAP AROUND0/1
OTHER0/19
OTT
BOS
Off the rush
2 G on 20 · 1.71 xG
1 G on 29 · 2.10 xG
Off rebounds
0 G on 3 · 0.64 xG
2 G on 2 · 0.70 xG

Wrist shots carried the volume: OTT went 1-for-22, BOS 1-for-21. OTT scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. Peeke
#26 · D · BOS
0 G · 2 A · 2 SOG · 20:10 TOI · +1
C. Giroux
#28 · R · OTT
1 G · 1 A · 3 SOG · 14:56 TOI · +2
C. McAvoy
#73 · D · BOS
0 G · 1 A · 0 SOG · 26:12 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • BOS was clinical in the high-danger zone — 2/4 on HD chances (50%).
  • OTT couldn't convert — 0/5 on high-danger chances. That won't happen often.
  • OTT was lethal off the rush — 2 goals on 20 rush chances.
  • OTT created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • J. Korpisalo was a wall on HD chances — 100% SV on 5 high-danger shots.
Before the game — the model's pre-game read
Preview · OTT at BOS · 7:00 PM ET

The Senators are the model's lean over the Bruins — with PDO regression in play

By the ModelJul 11, 2:42 PMEdited for clarity
Win probability

The model's lean

55%
OTT
Model favorite
55%
45%
OTT50BOS

OTT by 10 points of win probability — a modest lean. Projected score OTT 2.72.4 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

OTT← edge
edge →BOS
56.0%5v5 xG%47.0%
53.0%Corsi%49.0%
2.66xGF / 602.39
2.12xGA / 602.67
2.18Goals for / gm2.22
1.99Goals against / gm1.82
0.993PDO — luck, not skill1.023

OTT holds 4 of 6 process categories — and PDO (0.993 vs 1.023) says BOS has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.7–2.4 goal win for Ottawa and sizes the Senators at 55% win probability. The edge isn't hidden—it lies in what the Senators generate at 5v5 and what regression math suggests the Bruins will soon correct.

Ottawa dominates puck play: 56.0% expected goals share to Boston's 47.0%, with a Corsi% split of 53.0% to 49.0%. That isn't fluky. It's sustained territorial advantage that will translate to volume. Worse for Boston: they're -5 in goal differential over their last 10 games, evidence that the Bruins have underperformed even their own underlying metrics.

The Bruins' PDO is 1.023, well into regression territory. This index compounds save percentage and shooting percentage. When it climbs this high, mean reversion becomes arithmetic, not opinion. Pair regression risk with Boston's possession deficit, and the conclusion is unavoidable: the goal margin will tighten.

Rest stacks another layer onto Ottawa's advantage. Boston arrives on one day of recovery; Ottawa on five. That gap shapes everything downstream—skating sharpness, decision-making in the neutral zone, the execution of the forechecking that turns possession into chances. Complicate it further: J. Swayman, Boston's starter, faces a back-to-back. Watch for either a backup deployment or a tired starter forced to perform anyway.

The Senators' weaponization of their 5v5 advantage runs through Brady Tkachuk and Dylan Cozens. Tkachuk generates 1.19 expected goals per 60 minutes and carries 11 goals on a 7.5% shooting rate—process aligned with output. Cozens creates at 1.00 xG/60 and has 13 goals at 9.5% shooting, a second threat running hot within sustainable bounds.

Boston's Viktor Arvidsson offers the most prolific finish at 13.0% shooting on 1.04 xG/60, but that rate sits too high to sustain. Tanner Jeannot operates at lower volume—0.75 xG/60—but leverages an 8.3% shooting rate that offers cushion against variance.

Nick Jensen will shoulder Ottawa's defensive load. Elias Lindholm faces the same burden on Boston's blue line. Given the possession tilt, rest advantage, and Bruins' PDO trajectory, the model's lean holds.

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
BOS
Viktor Arvidsson18G 24A
1.04 xG/60 · 2 HD · 13.0% sh
Tanner Jeannot6G 14A
0.75 xG/60 · 2 HD · 8.3% sh
Source · MoneyPuck skaters