Backcheck
Recap · FLA at STL

Blues steal one from the Panthers against the run of play

The Blues stole one. They lost the expected-goals battle 3.82–2.58 and won anyway.

By the ModelJul 12, 3:15 AMxG: xgboost-0.758Edited for clarity
Away
FLA
Florida Panthers
4
Home
STL
St. Louis Blues
5
FINAL
Process vs result

The underlying story

3.82Expected goals2.58
60% share for the better side
20Shot attempts (SOG)31
8High-danger chances1
58Corsi (all attempts)49
Score-adjusted: 57% / 43%
Source · NHL play-by-play · XGBoost xG

The Panthers dominated high-danger chances 8–1 yet lost 5–4, a statline that captures St. Louis's profligate evening. Finishing, not control, determined this result.

The underlying play favored Florida decisively. The Panthers generated 3.82 expected goals to the Blues' 2.58—a 60–40 split at 5v5 that understates their territorial grip. St. Louis compensated with shot volume (61% of attempts, 31–20 on goal), but volume without quality is just noise.

Where St. Louis stole this one: their finishing. Two goals came from low-danger opportunities—the kind of bounces a road team shouldn't bank on. Meanwhile, D. Tarasov faced 26 shots and posted a 0.839 save percentage, 2.42 goals worse than expected; he didn't gift St. Louis anything, but he didn't steal a game either. J. Hofer's 0.800 mark suggested pedestrian effort from a Florida attack that created more than it capitalized on.

The Panthers' power play was the game's other critical gap: two power-play goals from 19 shots, representing 1.80 expected goals. That's dangerous depth in a third-period environment. St. Louis' penalty discipline cost them more than it should have.

One note in St. Louis's favor: the rush. They scored five goals on just 24 rush attempts, efficient offensive cycling that mattered in transition. Florida managed only two goals on 28 chances from the same setup, a miss-rate that eventually proved costly.

The third period's decisive moment: Jimmy Snuggerud's snap shot from a sharp angle at 19:51 gave the Blues their foothold, and they never relinquished it despite the statistical weight against them. That's not resilience—that's variance rewarded.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
FLA4 / 8 · 1.75 xG
STL0 / 1 · 0.21 xG
Medium dangermid-range
FLA0 / 16 · 1.72 xG
STL3 / 17 · 1.68 xG
Low dangerperimeter & point
FLA0 / 34 · 0.35 xG
STL2 / 31 · 0.68 xG

FLA went 4-for-8 from high danger on 1.75 expected goals — 2.3 above expected.

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

Finishing vs expected

expectedactual
FLA
4 G · 3.82 xG · +0.2
STL
5 G · 2.58 xG · +2.4
0123456
Goalies · GSAx (goals saved above expected)
D. TarasovFLA
-2.4
J. HoferSTL
-0.2

FLA finished +0.2 against expected, STL +2.4 — D. Tarasov (FLA) allowed 2.4 more goals than expected.

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

Shot diet

goalsshots
FLA
WRIST3/29
SLAP0/5
SNAP0/1
TIP IN0/2
BACKHAND1/1
OTHER0/20
STL
WRIST2/26
SLAP1/8
SNAP2/5
TIP IN0/1
BACKHAND0/1
OTHER0/8
FLA
STL
Off the rush
2 G on 28 · 3.01 xG
5 G on 24 · 1.68 xG
Off rebounds
2 G on 3 · 0.56 xG
0 G on 4 · 0.58 xG

Wrist shots carried the volume: FLA went 3-for-29, STL 2-for-26. STL scored 5 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
M. Tkachuk
#19 · L · FLA
2 G · 1 A · 5 SOG · 23:41 TOI
J. Kyrou
#25 · R · STL
1 G · 2 A · 3 SOG · 17:51 TOI · +1
J. Faulk
#72 · D · STL
0 G · 2 A · 4 SOG · 25:11 TOI · -1
Ranked from the box score — points first · Backcheck
What the model flagged
  • STL won despite being outplayed by xG (40%). Goaltending or finishing carried them.
  • STL had the shot volume but the chances weren't dangerous.
  • D. Tarasov (FLA) gave up 2.4 goals more than expected — well below their workload.
  • FLA was clinical in the high-danger zone — 4/8 on HD chances (50%).
  • STL scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • STL was lethal off the rush — 5 goals on 24 rush chances.
  • FLA was lethal off the rush — 2 goals on 28 rush chances.
  • STL created 4 rebound opportunities (0 converted) — crashing the net effectively.
  • FLA created 3 rebound opportunities (2 converted) — crashing the net effectively.
  • STL outperformed their expected goals by 2.4 — elite finishing or lucky bounces.
  • FLA power play was dominant — 2 PPG on 19 PP shots (1.80 xG).
Before the game — the model's pre-game read
Preview · FLA at STL · 8:00 PM ET

Panthers at Blues: a genuine coin flip

By the ModelJul 12, 3:14 AMEdited for clarity
Win probability

The model's lean

52%
STL
Model favorite
48%
52%
FLA50STL

STL by 4 points of win probability — effectively a coin flip. Projected score FLA 2.42.6 STL; 18% chance it's tied after 60.

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

Tale of the tape

FLA← edge
edge →STL
49.0%5v5 xG%49.0%
52.0%Corsi%48.0%
2.48xGF / 602.34
2.56xGA / 602.40
1.98Goals for / gm2.00
2.21Goals against / gm2.12
0.989PDO — luck, not skill1.000

STL holds 4 of 6 process categories — and PDO (0.989 vs 1.000) says STL has run hotter.

Source · MoneyPuck season tables · 5v5

The model projects a FLA 2.4-2.6 STL game with the Blues at 52% win probability. This is about as close to a pick'em as you'll find — territorial control and recent results point one way, but fatigue and variance cut the other.

The Panthers have won six of their last ten. The Blues have absorbed minus-14 in goal differential over the same span. Yet the Panthers are also underwater at minus-5, suggesting recent form flatters neither team. The teams play at roughly the same expected-goal rate (49.0% xG% each), but the Panthers establish territorial dominance: they own 52.0% Corsi while the Blues sink to 48.0%. Control the slot, you don't always win — the Blues' 1.000 PDO (scoring luck) sits above the Panthers' 0.989 — but sustained pressure builds chances.

Both goaltenders arrive on back-to-backs. J. Binnington and S. Bobrovsky face the same fatigue hazard, which introduces noise: a backup could start, a tired starter could falter, or a team might steal a night on short rest. This is the kind of variable that swallows predictive edges.

The game hinges on containment. Sam Bennett leads the Panthers' attack at 18 goals and 19 assists with a 0.97 expected goals per 60 and 6 hard-hit goals — he is both efficient and dangerous in the danger areas. Brad Marchand (17 goals, 19.5% shooting) adds a complementary threat: lower volume (0.93 xG/60) but elite conversion, a marksman over a grinder.

For St. Louis, Jimmy Snuggerud (15 goals, 22 assists, 0.86 xG/60, 2 hard-hit goals) operates at a lower expected-goal rate but profits from volume in secondary scoring. Dylan Holloway (13 goals, 24 assists, 0.82 xG/60) follows a similar profile — moderate efficiency, prolific assists, depth-driven offense.

The Panthers' 52.0% Corsi edge should translate to puck possession and offensive opportunity, yet the Blues' superior PDO and back-to-back fatigue on both sides blur the picture. Neither team has separated itself in talent or form. The model's 52% Blues probability reflects that ambiguity: you could argue either direction and feel reasonable. Play neither side with conviction.

Computed danger · scouting

Players to watch

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
STL
Jimmy Snuggerud15G 22A
0.86 xG/60 · 2 HD · 11.9% sh
Dylan Holloway13G 24A
0.82 xG/60 · 1 HD · 10.8% sh
Source · MoneyPuck skaters