Backcheck
Recap · TOR at FLA

Panthers run the Maple Leafs off the ice on the underlying numbers

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

By the ModelJul 12, 4:35 AMxG: xgboost-0.758Edited for clarity
Away
TOR
Toronto Maple Leafs
1
Home
FLA
Florida Panthers
5
FINAL
Process vs result

The underlying story

3.06Expected goals6.12
67% share for the better side
30Shot attempts (SOG)37
6High-danger chances8
51Corsi (all attempts)66
Score-adjusted: 51% / 49%
Source · NHL play-by-play · XGBoost xG

The scoreline—5-1 for the Panthers—masks the real story: Toronto generated 3.06 expected goals but scored just one, an underperformance of 2.06 goals. The Maple Leafs didn't lose because they lacked chances; they lost because they squandered them.

Florida dominated the underlying battle. They held 67% of 5v5 expected goals (6.12–3.06). They commanded 55% of shot attempts (37–30 on goal). They generated eight high-danger chances to Toronto's six. But volume alone doesn't determine outcomes—quality does. Florida averaged 0.093 xG per shot; Toronto 0.060. The Panthers were getting better chances and converting them at a higher rate.

Goaltending tells the second story. J. Woll (32/35 saves, 0.914 SV%, +3.12 vs expected) was excellent for Toronto but couldn't compensate for the underlying deficit. S. Bobrovsky (29/30 saves, 0.967 SV%, +2.06 vs expected) was sharper, stopping two goals above expectation. Both overperformed, but Bobrovsky's was the more decisive performance.

The rush attack proved lethal for Florida—three goals on 33 attempts. Matthew Tkachuk's wrist shot from the wing at 18:08 of the third sealed control. Net-front play favored neither team (each generated four rebound opportunities, zero conversions), but Florida's efficiency elsewhere proved decisive.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
TOR1 / 6 · 1.47 xG
FLA3 / 8 · 3.12 xG
Medium dangermid-range
TOR0 / 10 · 1.01 xG
FLA2 / 18 · 2.28 xG
Low dangerperimeter & point
TOR0 / 35 · 0.59 xG
FLA0 / 40 · 0.72 xG

TOR went 0-for-10 from medium danger on 1.01 expected goals — 1.0 left on the table.

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

Finishing vs expected

expectedactual
TOR
1 G · 3.06 xG · -2.1
FLA
5 G · 6.12 xG · -1.1
01234567
Goalies · GSAx (goals saved above expected)
J. WollTOR
+3.1
S. BobrovskyFLA
+2.1

TOR finished -2.1 against expected, FLA -1.1 — J. Woll (TOR) saved 3.1 goals above expected.

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

Shot diet

goalsshots
TOR
WRIST1/10
SNAP0/18
TIP IN0/4
SLAP0/4
BACKHAND0/3
WRAP AROUND0/1
DEFLECTED0/0
BAT0/1
OTHER0/10
FLA
WRIST4/29
SNAP1/9
TIP IN0/7
SLAP0/2
BACKHAND0/3
WRAP AROUND0/1
DEFLECTED0/2
BAT0/0
OTHER0/13
TOR
FLA
Off the rush
1 G on 29 · 2.26 xG
3 G on 33 · 3.63 xG
Off rebounds
0 G on 4 · 0.64 xG
0 G on 4 · 0.57 xG

Wrist shots carried the volume: TOR went 1-for-10, FLA 4-for-29. FLA scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
E. Rodrigues
#17 · C · FLA
1 G · 1 A · 9 SOG · 16:52 TOI · +1
A. Lundell
#15 · C · FLA
0 G · 2 A · 1 SOG · 16:18 TOI · +2
B. Marchand
#63 · L · FLA
2 G · 0 A · 3 SOG · 14:10 TOI · +2
Ranked from the box score — points first · Backcheck
What the model flagged
  • TOR generated higher-quality looks than the shot total suggests.
  • J. Woll (TOR) stopped 3.1 goals above expected.
  • FLA generated far more dangerous chances — 0.093 xG/shot vs 0.060. Quality over quantity.
  • FLA was lethal off the rush — 3 goals on 33 rush chances.
  • FLA created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • TOR created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • TOR underperformed xG by 2.1 — wasted quality chances.
  • J. Woll (TOR) saved 3.1 goals above expected — stole the show.
  • S. Bobrovsky (FLA) saved 2.1 goals above expected — stole the show.
Before the game — the model's pre-game read
Preview · TOR at FLA · 7:00 PM ET

The Panthers are the model's lean over the Maple Leafs on the rest edge

By the ModelJul 12, 4:31 AMEdited for clarity
Win probability

The model's lean

55%
FLA
Model favorite
45%
55%
TOR50FLA

FLA by 10 points of win probability — a modest lean. Projected score TOR 2.42.7 FLA; 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 →FLA
46.0%5v5 xG%49.0%
45.0%Corsi%52.0%
2.24xGF / 602.48
2.67xGA / 602.56
2.09Goals for / gm1.98
2.52Goals against / gm2.21
1.002PDO — luck, not skill0.989

FLA holds 5 of 6 process categories — and PDO (1.002 vs 0.989) says TOR has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a 2.4–2.7 goal spread to Florida with the Panthers at 55% win probability. This isn't a stylistic choice—it's a territorial inevitability.

Florida dominates possession at 52.0% Corsi, while Toronto musters only 45.0%. That gap translates directly to the shot diet: the Panthers' 49.0% xG% outpaces Toronto's 46.0%, revealing that elite teams don't just get more chances, they get scarier ones. Expect the game to tilt decisively into Toronto's zone.

Recent form offers little comfort. Toronto has -9 goal differential over its last 10 games; Florida is -6. Both are struggling, but the one drowning in defensive pressure—Toronto—enters this matchup weakened. The model likes Florida because it will create the pressure rather than absorb it.

The Panthers have 20 days of rest entering this game; the Maple Leafs 22. Combined with the Corsi disadvantage, this becomes a formula for Toronto chasing without escape—possessionally pinned for three periods.

Auston Matthews is Toronto's sole genuine scoring threat. He generates 1.10 xG per 60 at 17 goals but carries only 1 high-danger finish; his 10.6% shooting rate suggests regression is coming. John Tavares operates at 0.91 xG/60 with 3 high-danger goals and 12.4% shooting, a steadier secondary option.

For Florida, Sam Bennett leads at 0.97 xG/60 with 18 goals and 6 high-danger finishes. His 13.1% shooting rate marks him as efficient and dangerous near the net. Brad Marchand rounds out the attack at 0.93 xG/60 with 17 goals, though his 19.5% shooting suggests he's benefiting from unsustainable heat—expect regression.

The Panthers' territorial dominance explains the model's confidence. They will own the ice and convert that control into goals. The 2.4–2.7 margin is the math of possession.

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
FLA
Sam Bennett18G 19A
0.97 xG/60 · 6 HD · 13.1% sh
Brad Marchand17G 9A
0.93 xG/60 · 3 HD · 19.5% sh
Source · MoneyPuck skaters