Backcheck
Recap · BOS at OTT

Senators pull away from the Bruins

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

By the ModelJul 11, 1:24 PMxG: xgboost-0.758Edited for clarity
Away
BOS
Boston Bruins
2
Home
OTT
Ottawa Senators
7
FINAL
Process vs result

The underlying story

2.84Expected goals3.15
53% share for the better side
28Shot attempts (SOG)23
3High-danger chances6
63Corsi (all attempts)51
Score-adjusted: 59% / 41%
Source · NHL play-by-play · XGBoost xG

Ottawa's 7-2 win over Boston masks an expected-goals game that favored the Senators only marginally. The xG split ran 3.15–2.84 — close enough that the Bruins' scoreboard deficit tells a story the underlying numbers don't support. Ottawa outperformed their model by 3.85 goals; Boston undershot theirs by 0.84. This is the scoreboard disagreeing sharply with process.

The Senators controlled shot quality, not volume. They held 45% of shot attempts (23–28 on goal) and generated 0.062 expected goals per shot versus Boston's 0.045 — a meaningful edge in shot danger. High-danger chances favored Ottawa 6–3. That concentration mattered: the Senators finished 50% on HD chances (3 of 6), while Boston converted nothing on their rebound opportunities.

The goaltending split was the game's largest variable. L. Meriläinen (OTT) posted a 0.929 save percentage — 0.84 goals better than expected. J. Swayman (BOS) recorded 16 saves on 23 attempts for a 0.696 mark, performing 3.85 goals worse than his workload suggested.

Ottawa's power play was the other separator: 4 goals on 8 shots, a 0.50 expected-goals rate that no penalty kill can withstand. In transition, Ottawa scored 6 rush-goal opportunities out of 25 attempts; Boston managed 2 from 26 chances — identical volume, opposite conversion.

Viktor Arvidsson's slap shot from the top of the circles at 19:50 of the third period proved to be the turning point.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
BOS0 / 3 · 0.78 xG
OTT3 / 6 · 1.44 xG
Medium dangermid-range
BOS1 / 13 · 1.42 xG
OTT3 / 12 · 1.12 xG
Low dangerperimeter & point
BOS1 / 47 · 0.64 xG
OTT1 / 33 · 0.59 xG

OTT went 3-for-12 from medium danger on 1.12 expected goals — 1.9 above expected.

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

Finishing vs expected

expectedactual
BOS
2 G · 2.84 xG · -0.8
OTT
7 G · 3.15 xG · +3.9
012345678
Goalies · GSAx (goals saved above expected)
J. SwaymanBOS
-3.9
L. MeriläinenOTT
+0.8

BOS finished -0.8 against expected, OTT +3.9 — J. Swayman (BOS) allowed 3.9 more goals than expected.

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

Shot diet

goalsshots
BOS
WRIST1/26
SLAP1/4
SNAP0/7
TIP IN0/2
BACKHAND0/2
DEFLECTED0/2
WRAP AROUND0/1
OTHER0/19
OTT
WRIST2/20
SLAP1/7
SNAP2/4
TIP IN2/5
BACKHAND0/3
DEFLECTED0/1
WRAP AROUND0/0
OTHER0/11
BOS
OTT
Off the rush
2 G on 26 · 1.63 xG
6 G on 25 · 2.43 xG
Off rebounds
0 G on 3 · 0.65 xG
0 G on 1 · 0.15 xG

Wrist shots carried the volume: BOS went 1-for-26, OTT 2-for-20. OTT scored 6 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
J. Sanderson
#85 · D · OTT
0 G · 3 A · 2 SOG · 20:12 TOI
D. Batherson
#19 · R · OTT
2 G · 1 A · 3 SOG · 16:51 TOI · +1
T. Stützle
#18 · C · OTT
2 G · 1 A · 5 SOG · 16:42 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • J. Swayman (BOS) gave up 3.9 goals more than expected — well below their workload.
  • OTT generated far more dangerous chances — 0.062 xG/shot vs 0.045. Quality over quantity.
  • OTT was clinical in the high-danger zone — 3/6 on HD chances (50%).
  • OTT was lethal off the rush — 6 goals on 25 rush chances.
  • BOS was lethal off the rush — 2 goals on 26 rush chances.
  • BOS created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • OTT outperformed their expected goals by 3.9 — elite finishing or lucky bounces.
  • OTT power play was dominant — 4 PPG on 8 PP shots (0.50 xG).
Before the game — the model's pre-game read
Preview · BOS at OTT · 7:30 PM ET

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

By the ModelJul 11, 1:23 PMEdited for clarity
Win probability

The model's lean

59%
OTT
Model favorite
41%
59%
BOS50OTT

OTT by 18 points of win probability — a clear lean. Projected score BOS 2.32.8 OTT; 18% chance it's tied after 60.

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

Tale of the tape

BOS← edge
edge →OTT
47.0%5v5 xG%56.0%
49.0%Corsi%53.0%
2.39xGF / 602.66
2.67xGA / 602.12
2.22Goals for / gm2.18
1.82Goals against / gm1.99
1.023PDO — luck, not skill0.993

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

Source · MoneyPuck season tables · 5v5

The model projects a 2.3–2.8 goal game with the Senators at 59% win probability. That edge sits squarely on Ottawa's underlying play advantage.

The Senators own the 5v5 shot quality battle, carrying 56.0% expected goals to Boston's 47.0%. They press their territorial advantage with 53.0% Corsi, meaning they'll spend the night in Boston's zone. The Bruins countered with only 49.0% Corsi and 47.0% xG—a recipe for reactive hockey.

Boston's win expectancy leans on variance working their way. The Bruins are running a 1.023 PDO, which means their actual results are outpacing their underlying metrics. Regression lurks. Ottawa sits at 0.993 PDO, holding closer to luck-neutral, making them the model's cleaner read.

Three players set the tone for each side:

  • Viktor Arvidsson (BOS) generates 1.04 xG/60 with 18G 24A and a 13.0% shooting rate. He's in rhythm.
  • Brady Tkachuk (OTT) is Ottawa's engine at 1.19 xG/60, anchoring 11G 20A with a 7.5% rate. He's the leverage play in this matchup.
  • Tanner Jeannot (BOS) carries 0.75 xG/60 with 6G 14A and an 8.3% rate—depth scoring on volatility.
  • Dylan Cozens (OTT) chips in at 1.00 xG/60 with 13G 15A and a 9.5% rate, offering secondary punch.
  • Arvidsson has 2 high-danger goals; Tkachuk mirrors that with 2.
  • Jeannot and Cozens each sit at 2 and 1 high-danger goals respectively.

The tactical imbalance surfaces in Boston's offensive construction. The Bruins generate 0% of goals from high-danger looks and 0% from rebounds—a sign of one-and-done chances rather than sustained pressure. That efficiency gap (Arvidsson's 13.0% rate v. Tkachuk's 7.5%) matters when puck luck regresses; Boston will need conversion to hold water.

Defensively, Boston's weak link is Elias Lindholm. Ottawa's is Nick Jensen. Both teams register 0% high-danger and 0% rebound rates on the defensive side—meaning their leaks come from perimeter sequences, not scrambles.

The model's 59% lean makes sense: Ottawa owns play, holds luck closer to neutral, and edges Boston's depth scoring with Tkachuk's center gravity. Regression hits Boston's PDO; the Senators stay tethered to their underlying advantage. That's a durable edge in a 2.3–2.8 goal game.

Computed danger · scouting

Players to watch

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
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
Source · MoneyPuck skaters