Backcheck
Recap · OTT at TOR

Maple Leafs hold off the Senators

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

By the ModelJul 11, 9:53 PMxG: xgboost-0.758Edited for clarity
Away
OTT
Ottawa Senators
5
Home
TOR
Toronto Maple Leafs
7
FINAL
Process vs result

The underlying story

4.48Expected goals5.38
55% share for the better side
31Shot attempts (SOG)33
10High-danger chances9
63Corsi (all attempts)49
Score-adjusted: 61% / 39%
Source · NHL play-by-play · XGBoost xG

Toronto's 7–5 victory conceals a much tighter game underneath — the Maple Leafs outperformed their expected goals by 1.62 runs, translating close underlying metrics into a decisive win.

The expected-goals split (5.38–4.48, favoring Toronto 55–45) suggested a near-even contest. The scoreboard told a different story. Toronto's 52% shot-attempt share and high-danger conversion rate (4 of 9, or 44%) reveal clinical finishing in tight spots. Ottawa matched Toronto's dangerous chance generation (10 to 9) but finished at only 40% (4 of 10), while generating far fewer high-danger opportunities per shot (0.071 xG/shot vs. Toronto's 0.110).

Goaltending diverged sharply. L. Meriläinen stopped 1.02 goals above expected, keeping Ottawa alive. L. Ullmark conceded 1.65 goals above expected on just 14 shots — a catastrophic workload efficiency. Toronto's J. Woll conceded 0.52 goals above expected but faced fewer dangerous looks overall.

The turning point came from John Tavares's wrist shot from the wing in the third period (18:44), a sequence that epitomized Toronto's higher-percentage play.

Toronto's rush game was the separating factor: 4 goals on 20 attempts represents elite conversion. Ottawa's 4 goals on 33 rush chances feels pedestrian by comparison, suggesting Toronto's off-the-puck positioning and timing edges were real, even when shot totals looked balanced.

Three Stars

  • #34 A. Matthews (TOR) — 1G, 2A in 19:08
  • #11 M. Domi (TOR) — 3A in 17:21
  • #23 M. Knies (TOR) — 2G, 1A in 16:38
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
OTT4 / 10 · 2.37 xG
TOR4 / 9 · 3.31 xG
Medium dangermid-range
OTT1 / 13 · 1.41 xG
TOR3 / 13 · 1.62 xG
Low dangerperimeter & point
OTT0 / 40 · 0.70 xG
TOR0 / 27 · 0.44 xG

OTT went 4-for-10 from high danger on 2.37 expected goals — 1.6 above expected.

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

Finishing vs expected

expectedactual
OTT
5 G · 4.48 xG · +0.5
TOR
7 G · 5.38 xG · +1.6
012345678
Goalies · GSAx (goals saved above expected)
L. MeriläinenOTT
+1.0
L. UllmarkOTT
-1.6
J. WollTOR
-0.5

OTT finished +0.5 against expected, TOR +1.6 — L. Ullmark (OTT) allowed 1.6 more goals than expected.

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

Shot diet

goalsshots
OTT
WRIST5/40
BACKHAND0/5
TIP IN0/5
SLAP0/3
SNAP0/1
CRADLE0/0
WRAP AROUND0/0
OTHER0/9
TOR
WRIST4/29
BACKHAND2/5
TIP IN0/2
SLAP0/1
SNAP1/3
CRADLE0/1
WRAP AROUND0/1
OTHER0/7
OTT
TOR
Off the rush
4 G on 33 · 3.51 xG
4 G on 20 · 1.88 xG
Off rebounds
1 G on 2 · 0.35 xG
2 G on 5 · 0.78 xG

Wrist shots carried the volume: OTT went 5-for-40, TOR 4-for-29. OTT scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. Matthews
#34 · C · TOR
1 G · 2 A · 9 SOG · 19:08 TOI · +2
M. Domi
#11 · C · TOR
0 G · 3 A · 1 SOG · 17:21 TOI
M. Knies
#23 · L · TOR
2 G · 1 A · 6 SOG · 16:38 TOI
Ranked from the box score — points first · Backcheck
What the model flagged
  • L. Meriläinen (OTT) stopped 1.0 goals above expected.
  • L. Ullmark (OTT) gave up 1.6 goals more than expected — well below their workload.
  • Open game — 19 high-danger chances combined (TOR 9, OTT 10).
  • TOR generated far more dangerous chances — 0.110 xG/shot vs 0.071. Quality over quantity.
  • TOR was clinical in the high-danger zone — 4/9 on HD chances (44%).
  • OTT was clinical in the high-danger zone — 4/10 on HD chances (40%).
  • TOR was lethal off the rush — 4 goals on 20 rush chances.
  • OTT was lethal off the rush — 4 goals on 33 rush chances.
  • TOR created 5 rebound opportunities (2 converted) — crashing the net effectively.
  • TOR outperformed their expected goals by 1.6 — elite finishing or lucky bounces.
  • L. Meriläinen (OTT) saved 3.4 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · OTT at TOR · 7:00 PM ET

The Senators are the model's lean over the Maple Leafs on the underlying numbers

By the ModelJul 11, 9:52 PMEdited for clarity
Win probability

The model's lean

57%
OTT
Model favorite
57%
43%
OTT50TOR

OTT by 14 points of win probability — a modest lean. Projected score OTT 2.72.3 TOR; 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 →TOR
56.0%5v5 xG%46.0%
53.0%Corsi%45.0%
2.66xGF / 602.24
2.12xGA / 602.67
2.18Goals for / gm2.09
1.99Goals against / gm2.52
0.993PDO — luck, not skill1.002

OTT holds 6 of 6 process categories — and PDO (0.993 vs 1.002) says TOR has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects Ottawa winning 2.7 to 2.3, with the Senators favored at 57% win probability. The edge lies in fundamental play — the Senators dominate the underlying shot metrics while Toronto lags on the back of recent underperformance.

Ottawa owns the possession battle at 5v5 this season. The Senators generate 56.0% expected goals and control Corsi at 53.0%, meaning they dictate territorial flow. Toronto, by contrast, sit at 46.0% xG and 45.0% Corsi, a significant disadvantage in puck management.

That gap is not masked by luck. Ottawa's PDO of 0.993 indicates they're slightly underperforming their underlying rate, while Toronto's 1.002 suggests neutral efficiency. If anything, the Senators could be even further ahead if bounces regressed toward their baseline.

Recent form compounds the problem for Toronto. The Maple Leafs are underwater at -5 goal differential over their last 10 games, indicating the underlying issues are translating to actual results. Against an opponent that controls play and generates high-quality chances, that's a tough spot.

At the individual level, both teams have capable scorers, though Ottawa's engine is running hotter. Brady Tkachuk leads the Senators at 1.19 xG per 60 minutes, backed by 11 goals and 20 assists with a 7.5% shooting rate. Dylan Cozens (1.00 xG/60) provides secondary firepower with 13 goals and 15 assists at 9.5% shooting. Auston Matthews (1.10 xG/60) is Toronto's primary threat with 17 goals and 13 assists, while John Tavares (0.91 xG/60) adds 15 goals and 24 assists at 12.4% shooting.

Both teams reveal vulnerabilities at even strength. Ottawa carries a 0% rate on hard-chance and rebound goals, a notable drought in high-danger conversions, with Nick Jensen identified as a defensive weak link. Toronto mirrors that pattern at 0% on hard chances and rebounds, with Bo Groulx representing defensive liability. The team that can generate and convert one or two of these higher-percentage opportunities holds a significant edge in a game where baseline shot quality already tilts toward Ottawa.

The model's lean is justified. Underlying dominance plus recent Toronto regression point toward a Senators victory.

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
TOR
Auston Matthews17G 13A
1.10 xG/60 · 1 HD · 10.6% sh
John Tavares15G 24A
0.91 xG/60 · 3 HD · 12.4% sh
Source · MoneyPuck skaters