Backcheck
Recap · CBJ at FLA

Panthers run the Blue Jackets off the ice on the underlying numbers

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

By the ModelJul 11, 7:28 PMxG: xgboost-0.758Edited for clarity
Away
CBJ
Columbus Blue Jackets
6
Home
FLA
Florida Panthers
7
FINAL / OT
Process vs result

The underlying story

2.85Expected goals4.37
61% share for the better side
31Shot attempts (SOG)40
2High-danger chances6
46Corsi (all attempts)71
Score-adjusted: 37% / 63%
Source · NHL play-by-play · XGBoost xG

The Panthers' command of this game didn't show on the scoreboard. They controlled 60% of 5v5 expected goals (4.37–2.85) and 56% of shot attempts (40–31), yet squeezed out only a 7-6 overtime win—a margin that understates their dominance.

Both teams massively overperformed their xG, turning this into a high-variance affair. The Panthers outscored theirs by 2.63 goals; the Blue Jackets by 3.15. Columbus's overperformance was particularly notable—they generated fewer chances but finished with ruthless efficiency, especially off the rush (5 goals on 25 chances).

Florida's lethal rush game was the difference. They scored 6 goals from 39 rush opportunities and converted 2 low-danger chances where opposing goalies would normally hold. Sam Bennett's game-winning wrist shot at 04:56 of overtime epitomized their clinical finishing.

E. Merzlikins (33/40 saves, 0.825 SV%) allowed 2.63 more goals than expected—the toll of facing Florida's high-volume chances. S. Bobrovsky (25/31 saves, 0.806 SV%) allowed 3.15 more, undone by two low-danger soft goals and Columbus's rush efficiency.

Florida's territorial superiority proved decisive in the end, though the Blue Jackets' rush success nearly forced a different outcome.

How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
CBJ0 / 2 · 0.36 xG
FLA2 / 6 · 1.48 xG
Medium dangermid-range
CBJ4 / 15 · 1.85 xG
FLA3 / 15 · 1.96 xG
Low dangerperimeter & point
CBJ2 / 29 · 0.63 xG
FLA2 / 50 · 0.94 xG

CBJ went 4-for-15 from medium danger on 1.85 expected goals — 2.1 above expected.

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

Finishing vs expected

expectedactual
CBJ
6 G · 2.85 xG · +3.1
FLA
7 G · 4.37 xG · +2.6
012345678
Goalies · GSAx (goals saved above expected)
E. MerzlikinsCBJ
-2.6
S. BobrovskyFLA
-3.2

CBJ finished +3.1 against expected, FLA +2.6 — S. Bobrovsky (FLA) allowed 3.2 more goals than expected.

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

Shot diet

goalsshots
CBJ
SNAP1/15
WRIST1/6
SLAP0/8
BACKHAND2/4
TIP IN2/5
DEFLECTED0/1
OTHER0/7
FLA
SNAP1/27
WRIST5/16
SLAP0/1
BACKHAND0/4
TIP IN1/2
DEFLECTED0/0
OTHER0/21
CBJ
FLA
Off the rush
5 G on 25 · 2.34 xG
6 G on 39 · 3.45 xG
Off rebounds
0 G on 1 · 0.02 xG
0 G on 3 · 0.52 xG

Snap shots carried the volume: CBJ went 1-for-15, FLA 1-for-27. FLA scored 6 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
Three stars · computed, not voted
S. Bennett
#9 · C · FLA
1 G · 3 A · 3 SOG · 23:46 TOI · +2
B. Marchand
#63 · L · FLA
1 G · 3 A · 10 SOG · 23:16 TOI · +2
C. Verhaeghe
#23 · C · FLA
2 G · 1 A · 3 SOG · 20:36 TOI · +1
Ranked from the box score — points first · Backcheck
What the model flagged
  • E. Merzlikins (CBJ) gave up 2.6 goals more than expected — well below their workload.
  • FLA scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • CBJ scored 2 goals from low-danger spots — the opposing goalie needs to have those.
  • FLA was lethal off the rush — 6 goals on 39 rush chances.
  • CBJ was lethal off the rush — 5 goals on 25 rush chances.
  • FLA created 3 rebound opportunities (0 converted) — crashing the net effectively.
  • FLA outperformed their expected goals by 2.6 — elite finishing or lucky bounces.
  • CBJ outperformed their expected goals by 3.1 — elite finishing or lucky bounces.
  • FLA power play was dominant — 2 PPG on 18 PP shots (1.03 xG).
Before the game — the model's pre-game read
Preview · CBJ at FLA · 3:30 PM ET

Blue Jackets at Panthers: a genuine coin flip

By the ModelJul 11, 7:06 PMEdited for clarity
Win probability

The model's lean

50%
CBJ
Model favorite
50%
50%
CBJ50FLA

CBJ by 0 points of win probability — effectively a coin flip. Projected score CBJ 2.62.6 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

CBJ← edge
edge →FLA
52.0%5v5 xG%49.0%
51.0%Corsi%52.0%
2.63xGF / 602.48
2.43xGA / 602.56
2.12Goals for / gm1.98
1.98Goals against / gm2.21
1.003PDO — luck, not skill0.989

CBJ holds 5 of 6 process categories — and PDO (1.003 vs 0.989) says CBJ has run hotter.

Source · MoneyPuck season tables · 5v5

This is as close to a pick'em as you'll find. The model projects a 2.6–2.6 game with the Blue Jackets at 50% win probability.

Columbus owns the underlying play: 52.0% 5v5 xG to Florida's 49.0%. At 0.98 xG/60, Boone Jenner remains the centerpiece (11G, 21A), while Mathieu Olivier has emerged as an unlikely secondary threat at 0.89 xG/60 with 12 goals on a 13.3% shooting rate. Yet the Blue Jackets are underwater at -6 goal differential over their last 10—a warning that shot generation hasn't translated to wins. Columbus's 9.6% shooting rate suggests some cold-streak luck, though Jenner's 2 high-danger goals points to volume-driven efficiency rather than variance.

Florida's Corsi% edges Columbus at 52.0% to 51.0%, though their expected-goals output lags. Their PDO sits at 0.989—a half-point below Columbus's 1.003—suggesting they're running out of regression room. Sam Bennett (18G, 19A, 0.97 xG/60) remains a legitimate threat with 6 high-danger goals; Brad Marchand (17G, 9A, 0.93 xG/60) operates at an elevated 19.5% shooting rate that feels unsustainable.

A wildcard: both S. Bobrovsky and E. Merzlikins face back-to-back games, creating potential for backup deployment or tired starters. Either team might sacrifice goaltending consistency for forward freshness.

Both clubs sit at 0% high-danger and rebound-goal rates—an odd symmetry suggesting video scouting matters more than aggregate percentages. Olivier's 13.3% shooting and Marchand's 19.5% will likely regress, but sample size determines the timing.

Columbus's shot-generation edge meets Florida's more stable play-driving profile. Neither has pulled ahead. That's your coin flip.

Computed danger · scouting

Players to watch

CBJ
Boone Jenner11G 21A
0.98 xG/60 · 2 HD · 9.6% sh
Mathieu Olivier12G 9A
0.89 xG/60 · 1 HD · 13.3% 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