Backcheck
Recap · ANA at TOR

Maple Leafs hold off the Ducks

The Maple Leafs won a genuine coin flip — neither side controlled the run of play.

By the ModelJul 12, 6:45 AMxG: xgboost-0.758Edited for clarity
Away
ANA
Anaheim Ducks
4
Home
TOR
Toronto Maple Leafs
6
FINAL
Process vs result

The underlying story

4.98Expected goals5.03
50% share for the better side
40Shot attempts (SOG)28
8High-danger chances10
76Corsi (all attempts)53
Score-adjusted: 59% / 41%
Source · NHL play-by-play · XGBoost xG

The shot distribution lied. Toronto dominated possession—28 chances to Anaheim's 40—yet expected goals split 5.03–4.98, a virtual dead heat. The Leafs won 6–4 on variance: they overperformed their xG by 0.97 goals while the Ducks underperformed theirs by 0.98.

J. Woll was the difference. His 0.900 save percentage against L. Dostal's 0.815 tells the story—two goalies facing identical shot quality but producing divergent results. The Leafs generated dangerous looks systematically (0.095 xG per shot vs. the Ducks' 0.066), then converted at a higher rate.

Alex Killorn's wrist shot from the high slot (19:34, third period) was the turning point, but the real execution gap showed on special teams. Toronto's power play was surgical: three goals on 20 shots, 2.35 expected goals. Anaheim couldn't generate that pressure.

Rush chances exposed the Leafs' efficiency most clearly. They scored four goals on 27 rush attempts; the Ducks scored two on 34. That's elite conversion from transition—the offense was lethal on a fast break.

High-danger chances (10–8 Toronto) and rebound opportunities (both teams converted one of their 3–4 chances) were relatively even, but Toronto's edge in shot quality compounded. M. Knies and M. Maccelli ran the show; the depth was efficient throughout.

Anaheim generated higher-quality chances than their 40 shots suggest and matched Toronto's intensity for stretches. The Ducks were lethal on the rush themselves and created real offensive danger. But the Leafs' special teams and goaltending efficiency—combined with their ruthlessness on transition—proved decisive.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
ANA1 / 8 · 1.81 xG
TOR2 / 10 · 2.98 xG
Medium dangermid-range
ANA2 / 23 · 2.42 xG
TOR2 / 15 · 1.64 xG
Low dangerperimeter & point
ANA1 / 45 · 0.74 xG
TOR2 / 28 · 0.42 xG

TOR went 2-for-28 from low danger on 0.42 expected goals — 1.6 above expected.

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

Finishing vs expected

expectedactual
ANA
4 G · 4.98 xG · -1.0
TOR
6 G · 5.03 xG · +1.0
01234567
Goalies · GSAx (goals saved above expected)
L. DostalANA
+0.0
J. WollTOR
+1.0

ANA finished -1.0 against expected, TOR +1.0 — J. Woll (TOR) saved 1.0 goals above expected.

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

Shot diet

goalsshots
ANA
WRIST2/34
SNAP2/9
TIP IN0/6
SLAP0/6
BACKHAND0/4
DEFLECTED0/2
WRAP AROUND0/1
BAT0/0
OTHER0/14
TOR
WRIST6/32
SNAP0/4
TIP IN0/4
SLAP0/1
BACKHAND0/2
DEFLECTED0/0
WRAP AROUND0/0
BAT0/1
OTHER0/9
ANA
TOR
Off the rush
2 G on 34 · 3.27 xG
4 G on 27 · 2.89 xG
Off rebounds
1 G on 3 · 0.53 xG
1 G on 4 · 0.50 xG

Wrist shots carried the volume: ANA went 2-for-34, TOR 6-for-32. TOR scored 4 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Knies
#23 · L · TOR
1 G · 3 A · 1 SOG · 22:32 TOI
M. Maccelli
#63 · L · TOR
1 G · 2 A · 1 SOG · 13:51 TOI
W. Nylander
#88 · R · TOR
1 G · 1 A · 3 SOG · 23:57 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • ANA generated higher-quality looks than the shot total suggests.
  • Open game — 18 high-danger chances combined (TOR 10, ANA 8).
  • TOR generated far more dangerous chances — 0.095 xG/shot vs 0.066. Quality over quantity.
  • TOR scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • TOR was lethal off the rush — 4 goals on 27 rush chances.
  • ANA was lethal off the rush — 2 goals on 34 rush chances.
  • TOR created 4 rebound opportunities (1 converted) — crashing the net effectively.
  • ANA created 3 rebound opportunities (1 converted) — crashing the net effectively.
  • TOR power play was dominant — 3 PPG on 20 PP shots (2.35 xG).
Before the game — the model's pre-game read
Preview · ANA at TOR · 7:00 PM ET

Ducks at Maple Leafs: a genuine coin flip

By the ModelJul 12, 6:44 AMEdited for clarity
Win probability

The model's lean

53%
ANA
Model favorite
53%
47%
ANA50TOR

ANA by 6 points of win probability — a modest lean. Projected score ANA 2.72.5 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

ANA← edge
edge →TOR
52.0%5v5 xG%46.0%
52.0%Corsi%45.0%
2.80xGF / 602.24
2.59xGA / 602.67
2.09Goals for / gm2.09
2.32Goals against / gm2.52
0.981PDO — luck, not skill1.002

ANA holds 5 of 6 process categories — and PDO (0.981 vs 1.002) says TOR has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects 2.7 goals for Anaheim, 2.5 for Toronto — the Ducks at 53% win probability. This is about as close to a coin flip as you'll find.

Anaheim is the hotter team: 8-2-0 in their last 10 and they own the underlying play. At 5v5, the Ducks generate 52.0% expected goals and control 52.0% of shot attempts. Their PDO sits at 0.981, meaning they're running cold — positive regression is coming.

The gap in talent shows through the stats. Beckett Sennecke operates at 1.03 expected goals per 60 minutes with 20 goals and 19 assists; his 8 high-danger goals highlight his positioning in the slot. Cutter Gauthier matches that intensity at 0.99 xG/60 with 25 goals and 16 assists, though his 12.9% shooting rate suggests there's still room for his production to climb.

Toronto's problem is clear in the metrics. At 46.0% expected goals and 45.0% shot attempts, they're being outplayed consistently. Their -15 goal differential over ten games confirms it. Their PDO of 1.002 is working in their favor — they're running hot — but process eventually catches up to luck.

The Leafs have the offensive firepower to steal this. Auston Matthews leads at 1.10 expected goals per 60 with 17 goals and 13 assists, though his 10.6% shooting suggests variance is working against him. John Tavares adds depth at 0.91 xG/60 with 15 goals and 24 assists; the assist total shows he's feeding the play, not just finishing.

One watch: L. Dostal starts on the back end of a back-to-back. A tired starter or a backup changes the equation.

Anaheim should win with cleaner process and volume. But Toronto's luck is real and their star power is dangerous. The deciding factor may be execution in the neutral zone — Mason McTavish is a defensive liability for Anaheim, while Bo Groulx carries similar issues for Toronto. In a genuine coin flip, that's where the edge lives.

Computed danger · scouting

Players to watch

ANA
Beckett Sennecke20G 19A
1.03 xG/60 · 8 HD · 13.5% sh
Cutter Gauthier25G 16A
0.99 xG/60 · 2 HD · 12.9% 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