Backcheck
Recap · DET at TOR

Red Wings steal one from the Maple Leafs against the run of play

The Red Wings stole one. They lost the expected-goals battle 2.29–3.96 and won anyway.

By the ModelJun 16, 2:35 PMxG: xgboost-0.758Edited for clarity
Away
DET
Detroit Red Wings
3
Home
TOR
Toronto Maple Leafs
2
FINAL
Process vs result

The underlying story

2.29Expected goals3.96
63% share for the better side
15Shot attempts (SOG)40
5High-danger chances5
39Corsi (all attempts)75
Score-adjusted: 32% / 68%
Source · NHL play-by-play · XGBoost xG

Detroit's 3–2 victory defied the underlying play. Toronto commanded 63% of expected goals (3.96–2.29) and 73% of shot attempts (40–15), yet left empty-handed.

The gap was goaltending. C. Talbot stopped 1.96 goals above expected, including all 5 high-danger chances. A. Stolarz surrendered 0.71 goals above expected. Toronto burned 5 high-danger chances with nothing to show — a rare miss that punishes even teams in control.

Mason Appleton's wrist shot from the high slot (19:15, third period) shifted momentum when Detroit had no claim to staying close. One opportunistic finish became the game's fulcrum, the moment where Toronto's process — 73% of attempts, 63% of expected goals — failed to yield results.

Toronto's offense was clinical in flashes. The Maple Leafs scored on 2 of 31 rush chances, marking their opportunistic moments. Detroit answered with 2 goals on 18 rush chances — a sharper conversion rate that epitomized the night's larger story. Toronto created 4 rebound opportunities but converted none, crashing the net without reward.

Detroit won through efficiency: fewer chances, better execution, superior goaltending. This is what process failing to align with results looks like.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
DET1 / 5 · 1.30 xG
TOR0 / 5 · 1.11 xG
Medium dangermid-range
DET1 / 3 · 0.48 xG
TOR2 / 18 · 1.91 xG
Low dangerperimeter & point
DET1 / 31 · 0.51 xG
TOR0 / 52 · 0.94 xG

TOR went 0-for-5 from high danger on 1.11 expected goals — 1.1 left on the table.

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

Finishing vs expected

expectedactual
DET
3 G · 2.29 xG · +0.7
TOR
2 G · 3.96 xG · -2.0
012345
Goalies · GSAx (goals saved above expected)
C. TalbotDET
+2.0
A. StolarzTOR
-0.7

DET finished +0.7 against expected, TOR -2.0 — C. Talbot (DET) saved 2.0 goals above expected.

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

Shot diet

goalsshots
DET
WRIST2/14
BACKHAND1/7
SLAP0/3
TIP IN0/2
SNAP0/3
DEFLECTED0/0
BAT0/0
OTHER0/10
TOR
WRIST1/39
BACKHAND0/2
SLAP0/4
TIP IN1/4
SNAP0/2
DEFLECTED0/1
BAT0/1
OTHER0/22
DET
TOR
Off the rush
2 G on 18 · 1.32 xG
2 G on 31 · 2.46 xG
Off rebounds
0 G on 2 · 0.67 xG
0 G on 4 · 0.73 xG

Wrist shots carried the volume: DET went 2-for-14, TOR 1-for-39. DET scored 2 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Knies
#23 · L ·
1 G · 1 A · 3 SOG · 22:31 TOI · +1
A. Matthews
#34 · C ·
0 G · 1 A · 8 SOG · 22:34 TOI · +1
B. Chiarot
#8 · D ·
0 G · 1 A · 0 SOG · 21:59 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • DET stole this one. TOR owned 63% of the xG and lost.
  • TOR had the shot volume but the chances weren't dangerous.
  • C. Talbot (DET) stopped 2.0 goals above expected.
  • TOR couldn't convert — 0/5 on high-danger chances. That won't happen often.
  • TOR was lethal off the rush — 2 goals on 31 rush chances.
  • DET was lethal off the rush — 2 goals on 18 rush chances.
  • TOR created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • TOR underperformed xG by 2.0 — wasted quality chances.
  • C. Talbot (DET) saved 2.0 goals above expected — stole the show.
  • C. Talbot was a wall on HD chances — 100% SV on 5 high-danger shots.
Before the game — the model's pre-game read
Preview · DET at TOR · 2:00 PM ET

Red Wings at Maple Leafs: a genuine coin flip

By the ModelJun 16, 2:34 PMEdited for clarity
Win probability

The model's lean

51%
DET
Model favorite
51%
49%
DET50TOR

DET by 2 points of win probability — effectively a coin flip. Projected score DET 2.52.5 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

DET← edge
edge →TOR
49.0%5v5 xG%46.0%
49.0%Corsi%45.0%
2.38xGF / 602.24
2.50xGA / 602.67
1.73Goals for / gm2.09
2.07Goals against / gm2.52
0.985PDO — luck, not skill1.002

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

Source · MoneyPuck season tables · 5v5

Toronto sits at 49 percent win probability here—a statistical coin flip. The models project a 2.5-2.5 tie, which is another way of saying neither team has a meaningful edge.

Yet the underlying numbers reveal something subtly interesting. Detroit controls the territorial game: 49.0 percent Corsi%, meaning they own possession. They've also out-generated expected chances at 49.0 percent xG%. Toronto? 45.0 percent Corsi%, 46.0 percent xG%. On paper, Detroit is the possession team.

Toronto's resilience comes from conversion. The Leafs' PDO of 1.002 suggests they've squeezed out better finishes than the raw chances merit, while Detroit's 0.985 sits slightly below the sustainable line. It's a narrow margin, but in a game this tight, it's real.

Detroit leans on Alex DeBrincat and Marco Kasper in the shot-driving role. DeBrincat generates 0.88 expected goals per 60 minutes and has potted 17 goals on a 9.0 percent shooting clip. Kasper, generating 0.81 xG/60, has 7 goals on just 6.1 percent shooting—he's one of the few Detroit forwards who might see a shooting efficiency regression. Auston Matthews remains Toronto's gravitational center: 1.10 xG/60 and 17 goals, clicking at 10.6 percent. John Tavares rounds out the attacking depth, sitting at 0.91 xG/60 with 15 goals and 24 assists, converted at an eye-watering 12.4 percent. Matthews carries the shot generation; Tavares carries the volume.

The tactical story is mutual brittleness. Both teams sit at 0 percent hard-chance and 0 percent rebound-goal rates, meaning neither is manufacturing the kind of secondary scoring that sustains deep runs. Axel Sandin-Pellikka anchors Detroit's defensive liabilities; Bo Groulx does the same for Toronto. In a game this finely balanced, a defensive lapse becomes decisive.

This is a genuine toss-up. Don't overthink it.

Computed danger · scouting

Players to watch

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
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