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

Winnipeg Jets

5-on-5 · model-estimated

Jets: a outshot/run-and-gun team (47.3% 5v5 xG) with league-average goaltending, flagged for regression (1 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
47.3%
xGoals %
This team spends the night chasing.
49.0%
Corsi %
0.03
xGF / 60
0.998
PDO
Luck is about neutral; the record is earned.
Strengths
  • Elite top-end talent: Josh Morrissey.
Weaknesses
  • Out-chanced at 5v5 (47.3% xG share).
  • Leaky penalty kill (78% kill rate).
Regression watch · luck-reconciliation

Team finishing is -22 goals below xG — finishing should rebound.

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

Talent tiers · model impact
Elite01
  • Josh Morrissey
Top05
  • Kyle Connor
  • Gabriel Vilardi
  • Dylan DeMelo
  • Nino Niederreiter
  • Elias Salomonsson
Middle06
  • Mark Scheifele
  • Cole Perfetti
  • Morgan Barron
  • Cole Koepke
  • Dylan Samberg
  • Jacob Bryson
Depth09
  • Alex Iafallo
  • Jonathan Toews
  • Adam Lowry
  • Vladislav Namestnikov
  • Isak Rosen
  • Brad Lambert
  • Gustav Nyquist
  • Neal Pionk
  • Haydn Fleury
Rate-first

Special teams

Power play
0.00 xGF/60 · 18.5% SH%
5.55GF/60
Penalty kill
0.8 Kill%
8.31GA/60
Source · MoneyPuck 5-on-5 + ST splits
Team GSAx -1.3

Goaltending

Below expected
GoaltenderGP
Connor Hellebuyck5789.530+0.0
Eric Comrie2588.990+0.0
Source · GSAx = xGoals − goals, computed in-app
Roster needs · ranked
01
Bottom-6 forward depthhigh
team 36.8 vs league 81.9
-45
02
Depth defensehigh
team 50.2 vs league 87.3
-37
03
Top-6 forwardhigh
team 59.2 vs league 86.1
-27
04
Top-pair defensemanhigh
team 69.8 vs league 91.5
-22

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

Top players · adjusted impact
PlayerGPTOI/GP
Kyle ConnorL8216.2+67.10+4.0
Mark ScheifeleC8216.8+57.20+4.0
Gabriel VilardiC8214.7+62.00+2.9
Josh MorrisseyD7719.8+76.80+2.9
Cole PerfettiC6812.6+52.10+1.1
Morgan BarronC6510.5+55.60+0.9
Dylan DeMeloD8218.3+61.00+0.9
Nino NiederreiterR6112.0+60.90+0.8
Alex IafalloL7912.8+35.40+0.5
Jonathan ToewsC8211.8+33.30+0.5
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
52/ 100 · pctile vs league

The 16th-heaviest schedule in the league84 games, 1.3 days average rest.

Total travel
48,930
road miles flown
9
Back-to-backs
2 games, 0 days off
13
3-in-4s
3 games / 4 nights
15
4-in-6s
4 games / 6 nights
6
Longest road trip
4,964 mi
Rest-days distribution
0d9
1d54
2d13
3+d7

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

Rest advantage

14 games with more rest than the opponent · 21 with fewer · 48 even.

Hardest stretches
  • 6 games in 10 days with 4,410 travel miles

    Oct 27Nov 5

  • 6 games in 10 days with 3,774 travel miles

    Nov 23Dec 2

  • 6 games in 11 days with 4,276 travel miles

    Feb 19Mar 1

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