Backcheck
Team diagnostic
2025-26last seasonAs of Sun, Sep 20

Florida Panthers

5-on-5 · model-estimated

Panthers: a outshot/run-and-gun team (0.0% 5v5 xG) with league-average goaltending, flagged for regression (2 signals).

How to read this

This is one team through the publication's three layers. The identity row separates process — the chances a club creates and allows (, ) — from luck, which is what measures. Process predicts the future; luck predicts a correction.

Everything below follows that split: regression flags mark places where results have outrun (or trailed) the underlying play, talent tiers and the player table rank the roster by a model-estimated , and roster needs compare each position group against league average. The proxies rank things usefully but share credit with linemates — read orderings as solid and exact magnitudes as approximate.

PROCESS
chance creation and possession — xG%, Corsi. The repeatable part.
RESULT
goals, wins, special-teams conversion. What the standings see.
LUCK
PDO, finishing vs expected, GSAx — the part that mean-reverts.
GOLD/RED
regression flags: gold = watch it, red = act on it
Fine print · verbatim from the model
  • WAR / Impact are model-estimated proxies, not cap-validated
  • Roster-need gaps are ordinal — ranked correctly, magnitudes relative
Identity · outshot/run-and-gun
0.0%
xGoals %
This team gets buried territorially.
51.9%
Corsi %
0.00
xGF / 60
0.989
PDO
The bounces have been cruel — results should improve.
Strengths
  • Elite top-end talent: Matthew Tkachuk.
Weaknesses
  • Out-chanced at 5v5 (0.0% xG share).
Regression watch · luck-reconciliation

Team finishing is -18 goals below xG — finishing should rebound.

Sergei Bobrovsky sv% 87.7% is below replacement — goaltending should improve or change.

Flags mark gaps between process and result likely to move toward the mean.

Talent tiers · model impact
Elite01
  • Matthew Tkachuk
Top07
  • Sam Bennett
  • Sam Reinhart
  • Brad Marchand
  • A.J. Greer
  • Mackie Samoskevich
  • Gustav Forsling
  • Cole Schwindt
Middle07
  • Carter Verhaeghe
  • Anton Lundell
  • Evan Rodrigues
  • Eetu Luostarinen
  • Seth Jones
  • Aaron Ekblad
  • Niko Mikkola
Depth08
  • Cole Reinhardt
  • Noah Gregor
  • Luke Kunin
  • Vinnie Hinostroza
  • Uvis Balinskis
  • Jesper Boqvist
  • Tomas Nosek
  • Donovan Sebrango
Rate-first

Special teams

Power play
0.00 xGF/60 · 19.5% SH%
5.86GF/60
Penalty kill
0.8 Kill%
7.00GA/60
Source · MoneyPuck 5-on-5 + ST splits
Team GSAx +0.2

Goaltending

Above expected
GoaltenderGP
Sergei Bobrovsky5287.68066.670+0.2
Daniil Tarasov3389.510+0.0
Source · GSAx = xGoals − goals, computed in-app
Roster needs · ranked
01
Depth defensehigh
team 37.7 vs league 87.3
-50
02
Top-pair defensemanhigh
team 59.8 vs league 91.5
-32
03
Bottom-6 forward depthhigh
team 51.9 vs league 81.9
-30
04
Top-6 forwardhigh
team 71.1 vs league 86.1
-15

Gaps are ordinal — needs are ranked correctly; treat the magnitude as relative, not absolute.

Top players · adjusted impact
PlayerGPTOI/GP
Sam BennettC7613.6+71.90+2.7
Sam ReinhartC6414.0+61.90+2.5
Brad MarchandL5212.1+71.80+2.4
Carter VerhaegheC7714.2+59.80+2.4
Anton LundellC6413.4+55.90+1.7
A.J. GreerL7811.6+69.20+1.6
Matthew TkachukL3113.6+83.30+1.6
Mackie SamoskevichR7712.1+63.60+1.4
Gustav ForslingD8018.2+65.50+1.3
Evan RodriguesC6913.3+54.00+1.2
Schedule load · logistics

How hard is this team’s season, logistically? This grades the schedule itself — travel, rest, and clustering — separate from how good the team is.

Logistics, not talent

Schedule load

AVERAGE
Load index
65/ 100 · pctile vs league

The 12th-heaviest schedule in the league84 games, 1.3 days average rest.

Total travel
47,083
road miles flown
14
Back-to-backs
2 games, 0 days off
15
3-in-4s
3 games / 4 nights
12
4-in-6s
4 games / 6 nights
5
Longest road trip
4,669 mi
Rest-days distribution
0d14
1d41
2d21
3+d7

Nights of rest before each game · 0 days = red, 3+ = green

Rest advantage

20 games with more rest than the opponent · 21 with fewer · 41 even.

Hardest stretches
  • 6 games in 9 days with 3,585 travel miles

    Nov 7Nov 15

  • 6 games in 11 days with 4,726 travel miles

    Dec 30Jan 9

  • 6 games in 11 days with 4,600 travel miles

    Feb 20Mar 2

Source · NHL schedule · arena coordinates · rest & travel model
By the Model5-on-5 aggregates · MoneyPuck* WAR / Impact are model-estimated proxies, not cap-validated