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

Chicago Blackhawks

5-on-5 · model-estimated

Blackhawks: a outshot/run-and-gun team (32.1% 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
32.1%
xGoals %
This team gets buried territorially.
46.0%
Corsi %
0.02
xGF / 60
0.996
PDO
Luck is about neutral; the record is earned.
Strengths
  • No standout edges flagged.
Weaknesses
  • Out-chanced at 5v5 (32.1% xG share).
Regression watch · luck-reconciliation

Team finishing is -10 goals below xG — finishing should rebound.

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

Talent tiers · model impact
Elite00
  • None
Top02
  • Connor Bedard
  • Tyler Bertuzzi
Middle07
  • Frank Nazar
  • Ilya Mikheyev
  • Ryan Donato
  • Oliver Moore
  • Nick Lardis
  • Wyatt Kaiser
  • Sam Rinzel
Depth10
  • Andre Burakovsky
  • Teuvo Teravainen
  • Louis Crevier
  • Andrew Mangiapane
  • Ryan Greene
  • Matt Grzelcyk
  • Sam Lafferty
  • Landon Slaggert
  • Artyom Levshunov
  • Alex Vlasic
Rate-first

Special teams

Power play
0.00 xGF/60 · 16.9% SH%
5.08GF/60
Penalty kill
0.8 Kill%
5.92GA/60
Source · MoneyPuck 5-on-5 + ST splits
Team GSAx +0.3

Goaltending

Above expected
GoaltenderGP
Spencer Knight5590.210+0.0
Arvid Soderblom2687.98075.000+0.3
Source · GSAx = xGoals − goals, computed in-app
Roster needs · ranked
01
Depth defensehigh
team 31.5 vs league 87.3
-56
02
Bottom-6 forward depthhigh
team 30.5 vs league 81.9
-51
03
Top-pair defensemanhigh
team 43.3 vs league 91.5
-48
04
Top-6 forwardhigh
team 53.2 vs league 86.1
-33

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

Top players · adjusted impact
PlayerGPTOI/GP
Connor BedardC6816.4+62.70+2.8
Tyler BertuzziL7814.6+73.70+2.8
Frank NazarC6513.4+45.30+1.1
Ilya MikheyevR7614.5+46.80+1.1
Ryan DonatoC8112.9+42.10+0.8
Andre BurakovskyL7413.7+31.60+0.6
Oliver MooreC5011.2+45.00+0.6
Nick LardisL4111.0+45.80+0.5
Teuvo TeravainenC7412.3+23.90+0.3
Louis CrevierD7714.9+39.30+0.3
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
45/ 100 · pctile vs league

The 18th-heaviest schedule in the league84 games, 1.3 days average rest.

Total travel
39,578
road miles flown
12
Back-to-backs
2 games, 0 days off
17
3-in-4s
3 games / 4 nights
16
4-in-6s
4 games / 6 nights
6
Longest road trip
2,525 mi
Rest-days distribution
0d12
1d53
2d12
3+d6

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

Rest advantage

22 games with more rest than the opponent · 18 with fewer · 42 even.

Hardest stretches
  • 6 games in 9 days with 3,797 travel miles

    Feb 28Mar 8

  • 6 games in 10 days with 3,783 travel miles

    Nov 25Dec 4

  • 6 games in 10 days with 3,391 travel miles

    Oct 29Nov 7

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