Backcheck
Recap · TOR at DET

Red Wings run the Maple Leafs off the ice on the underlying numbers

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

By the ModelJun 16, 2:22 PMxG: xgboost-0.758Edited for clarity
Away
TOR
Toronto Maple Leafs
3
Home
DET
Detroit Red Wings
6
FINAL
Process vs result

The underlying story

2.69Expected goals5.05
65% share for the better side
23Shot attempts (SOG)35
4High-danger chances4
48Corsi (all attempts)67
Score-adjusted: 39% / 61%
Source · NHL play-by-play · XGBoost xG

DET's 6–3 win over Toronto wasn't as close as the score suggests. High-danger chances were deadlocked at 4–4, yet the Red Wings won decisively—a gap explained by superior shot quality. Detroit's chances averaged 0.075 expected goals per shot; Toronto's were 0.056.

That quality advantage compounded across 35 shot attempts, yielding a 5.05–2.69 expected-goals edge (65–35 split). Detroit controlled 60% of shot attempts and converted in the danger zone: 3-for-4 on high-danger chances. The Red Wings also capitalized on transition, with 3 of their 6 goals coming off the rush from 33 such opportunities.

Toronto's rush offense was lethal too—3 goals from 26 chances, a higher conversion rate than Detroit's. But the Maple Leafs couldn't overcome the deficit in shot volume and quality everywhere else.

A. Stolarz stopped 29 of 33 shots (0.879 SV%), finishing 1.05 goals above expected. It wasn't enough. C. Talbot didn't need to be spectacular, saving 20 of 23 (0.870 SV%).

Momentum shifted early in the third. Andrew Copp's wrist shot from the wing at 19:55 extended Detroit's lead when the game remained competitive.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
TOR1 / 4 · 0.95 xG
DET3 / 4 · 1.80 xG
Medium dangermid-range
TOR2 / 13 · 1.27 xG
DET3 / 22 · 2.58 xG
Low dangerperimeter & point
TOR0 / 31 · 0.47 xG
DET0 / 41 · 0.66 xG

DET went 3-for-4 from high danger on 1.80 expected goals — 1.2 above expected.

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

Finishing vs expected

expectedactual
TOR
3 G · 2.69 xG · +0.3
DET
6 G · 5.05 xG · +0.9
01234567
Goalies · GSAx (goals saved above expected)
A. StolarzTOR
+1.0
C. TalbotDET
-0.3

TOR finished +0.3 against expected, DET +0.9 — A. Stolarz (TOR) saved 1.0 goals above expected.

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

Shot diet

goalsshots
TOR
WRIST2/14
SNAP0/7
TIP IN1/5
SLAP0/7
BACKHAND0/1
DEFLECTED0/0
OTHER0/14
DET
WRIST3/25
SNAP2/7
TIP IN0/8
SLAP0/5
BACKHAND0/4
DEFLECTED1/1
OTHER0/17
TOR
DET
Off the rush
3 G on 26 · 2.56 xG
3 G on 33 · 2.68 xG
Off rebounds
0 G on 0 · 0.00 xG
0 G on 2 · 0.30 xG

Wrist shots carried the volume: TOR went 2-for-14, DET 3-for-25. TOR scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
A. DeBrincat
#93 · R ·
0 G · 3 A · 3 SOG · 17:47 TOI · +1
P. Kane
#88 · R ·
1 G · 2 A · 4 SOG · 16:25 TOI · +1
M. Rielly
#44 · D ·
0 G · 2 A · 2 SOG · 22:15 TOI · -1
Ranked from the box score — points first · Backcheck
What the model flagged
  • A. Stolarz (TOR) stopped 1.0 goals above expected.
  • DET generated far more dangerous chances — 0.075 xG/shot vs 0.056. Quality over quantity.
  • DET was clinical in the high-danger zone — 3/4 on HD chances (75%).
  • DET was lethal off the rush — 3 goals on 33 rush chances.
  • TOR was lethal off the rush — 3 goals on 26 rush chances.
Before the game — the model's pre-game read
Preview · TOR at DET · 7:00 PM ET

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

By the ModelJun 16, 2:21 PMEdited for clarity
Win probability

The model's lean

55%
DET
Model favorite
45%
55%
TOR50DET

DET by 10 points of win probability — a modest lean. Projected score TOR 2.42.7 DET; 18% chance it's tied after 60.

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

Tale of the tape

TOR← edge
edge →DET
46.0%5v5 xG%49.0%
45.0%Corsi%49.0%
2.24xGF / 602.38
2.67xGA / 602.50
2.09Goals for / gm1.73
2.52Goals against / gm2.07
1.002PDO — luck, not skill0.985

DET holds 5 of 6 process categories — and PDO (1.002 vs 0.985) says TOR has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.4–2.7 goal game with Detroit at 55% win probability. That edge rests on clean possession metrics: the Red Wings drive Corsi at 49.0% to Toronto's 45.0%, and their shot quality gap is just as clear—49.0% expected goals to 46.0%. Detroit's efficiency is real. Toronto's luck has carried it: a 1.002 PDO masks some underlying softness, while Detroit's 0.985 suggests tighter efficiency ahead.

The territorial advantage flows through Detroit's top scorers. Alex DeBrincat has generated 0.88 expected goals per 60 minutes across 17 goals and 28 assists; he's backed by Marco Kasper at 0.81 xG/60 with 7 goals and 8 assists. Toronto counters with Auston Matthews at 1.10 xG/60 (17 goals, 13 assists) and John Tavares at 0.91 xG/60 (15 goals, 24 assists), both operating at higher individual shot-generation rates.

The shooting percentages reveal where execution tightens. Matthews operates at 10.6%—elite, but unsustainable without volume; Tavares is at 12.4%. DeBrincat sits at 9.0% and Kasper at 6.1%, meaning both carry room to climb. Detroit's interior dominance doesn't guarantee goal inflation, but it buys second chances—Toronto's weakness at the net, with 0% high-danger conversion and 0% rebound generation, suggests it struggles to capitalize on scraps. Bo Groulx is Toronto's defensive liability; Axel Sandin-Pellikka carries that burden for Detroit.

Neither team has shown clinical finishing on hard chances, so this game hinges on volume. Detroit's sustained territorial pressure at 49.0% Corsi should produce more shot attempts from higher-leverage areas. Toronto's counter—Matthews and Tavares—is accurate but starved for feed chances if possession breaks against them. The model sees a matchup that looks even on talent but tilted on structure: Detroit's push for territorial control, even against skilled opposition, justifies the win probability edge beyond the expected goal margin alone.

Computed danger · scouting

Players to watch

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
DET
Alex DeBrincat17G 28A
0.88 xG/60 · 2 HD · 9.0% sh
Marco Kasper7G 8A
0.81 xG/60 · 1 HD · 6.1% sh
Source · MoneyPuck skaters