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

Vegas Golden Knights

5-on-5 · model-estimated

Golden Knights: 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.
52.3%
Corsi %
0.00
xGF / 60
0.983
PDO
The bounces have been cruel — results should improve.
Strengths
  • Elite top-end talent: Jack Eichel, Mark Stone, Shea Theodore.
Weaknesses
  • Out-chanced at 5v5 (0.0% xG share).
Regression watch · luck-reconciliation

PDO 0.983 — running cold at 5v5; due for positive regression.

Akira Schmid sv% 89.3% 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
Elite03
  • Jack Eichel
  • Mark Stone
  • Shea Theodore
Top09
  • Mitch Marner
  • Pavel Dorofeyev
  • Ivan Barbashev
  • Tomas Hertl
  • Noah Hanifin
  • Braeden Bowman
  • Ben Hutton
  • Kaedan Korczak
  • Brayden McNabb
Middle07
  • Rasmus Andersson
  • Brett Howden
  • Jeremy Lauzon
  • Alexander Holtz
  • Brandon Saad
  • Cole Smith
  • Colton Sissons
Depth03
  • Reilly Smith
  • Keegan Kolesar
  • Nic Dowd
Rate-first

Special teams

Power play
0.00 xGF/60 · 24.6% SH%
7.37GF/60
Penalty kill
0.8 Kill%
6.78GA/60
Source · MoneyPuck 5-on-5 + ST splits
Team GSAx +0.0

Goaltending

Above expected
GoaltenderGP
Akira Schmid3489.250+0.0
Adin Hill2787.050+0.0
Source · GSAx = xGoals − goals, computed in-app
Roster needs · ranked
01
Bottom-6 forward depthhigh
team 51.5 vs league 81.9
-30
02
Depth defensehigh
team 63.6 vs league 87.3
-24
03
Top-pair defensemanhigh
team 80.6 vs league 91.5
-11
04
Top-6 forwardhigh
team 75.4 vs league 86.1
-11

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

Top players · adjusted impact
PlayerGPTOI/GP
Jack EichelC7415.2+85.80+4.6
Mark StoneR6013.8+87.10+3.7
Mitch MarnerR8114.1+66.50+3.6
Pavel DorofeyevR8213.6+69.50+3.1
Ivan BarbashevL8215.0+71.70+3.0
Tomas HertlC8212.7+72.00+2.6
Shea TheodoreD7018.9+86.40+2.5
Rasmus AnderssonD8118.0+58.10+1.8
Noah HanifinD7119.5+69.90+1.4
Braeden BowmanR5412.6+62.40+1.1
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

DEPTH
Load index
3/ 100 · pctile vs league

The 31st-heaviest schedule in the league84 games, 1.3 days average rest.

Total travel
50,695
road miles flown
8
Back-to-backs
2 games, 0 days off
9
3-in-4s
3 games / 4 nights
8
4-in-6s
4 games / 6 nights
4
Longest road trip
3,757 mi
Rest-days distribution
0d8
1d51
2d19
3+d5

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

Rest advantage

23 games with more rest than the opponent · 18 with fewer · 41 even.

Hardest stretches
  • 6 games in 10 days with 4,452 travel miles

    Oct 6Oct 15

  • 6 games in 12 days with 5,784 travel miles

    Jan 9Jan 20

  • 6 games in 10 days with 4,054 travel miles

    Dec 26Jan 4

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