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

Boston Bruins

5-on-5 · model-estimated

Bruins: 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.
49.0%
Corsi %
0.00
xGF / 60
1.022
PDO
The bounces are flattering them — expect some giveback.
Strengths
  • Elite top-end talent: Viktor Arvidsson.
Weaknesses
  • Out-chanced at 5v5 (0.0% xG share).
  • Leaky penalty kill (77% kill rate).
Regression watch · luck-reconciliation

PDO 1.022 — running hot at 5v5; expect negative regression.

Team finishing is +21 goals above xG — shooting luck likely to cool.

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

Talent tiers · model impact
Elite01
  • Viktor Arvidsson
Top04
  • David Pastrnak
  • Charlie McAvoy
  • Hampus Lindholm
  • Jonathan Aspirot
Middle11
  • Morgan Geekie
  • Pavel Zacha
  • Elias Lindholm
  • Casey Mittelstadt
  • Fraser Minten
  • Alex Steeves
  • Michael Eyssimont
  • Mark Kastelic
  • Mason Lohrei
  • Tanner Jeannot
  • Henri Jokiharju
Depth05
  • Marat Khusnutdinov
  • Sean Kuraly
  • Lukas Reichel
  • Nikita Zadorov
  • Andrew Peeke
Rate-first

Special teams

Power play
0.00 xGF/60 · 23.4% SH%
7.02GF/60
Penalty kill
0.8 Kill%
8.49GA/60
Source · MoneyPuck 5-on-5 + ST splits
Team GSAx +0.0

Goaltending

Above expected
GoaltenderGP
Jeremy Swayman5590.770+0.0
Joonas Korpisalo3189.420+0.0
Source · GSAx = xGoals − goals, computed in-app
Roster needs · ranked
01
Depth defensehigh
team 47.1 vs league 87.3
-40
02
Bottom-6 forward depthhigh
team 46.0 vs league 81.9
-36
03
Top-pair defensemanhigh
team 64.6 vs league 91.5
-27
04
Top-6 forwardhigh
team 60.9 vs league 86.1
-25

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

Top players · adjusted impact
PlayerGPTOI/GP
David PastrnakR7715.9+60.20+3.8
Morgan GeekieC8113.7+57.60+2.9
Viktor ArvidssonL6912.1+78.60+2.6
Pavel ZachaC7812.3+53.20+2.4
Charlie McAvoyD6917.5+64.50+2.4
Elias LindholmC6913.3+49.20+1.6
Casey MittelstadtC7113.0+51.20+1.6
Fraser MintenC8212.6+55.70+1.5
Hampus LindholmD6716.6+63.40+1.1
Marat KhusnutdinovC7712.4+36.50+0.9
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
36/ 100 · pctile vs league

The 21st-heaviest schedule in the league84 games, 1.3 days average rest.

Total travel
40,713
road miles flown
14
Back-to-backs
2 games, 0 days off
13
3-in-4s
3 games / 4 nights
13
4-in-6s
4 games / 6 nights
4
Longest road trip
4,277 mi
Rest-days distribution
0d14
1d42
2d20
3+d7

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

Rest advantage

23 games with more rest than the opponent · 25 with fewer · 34 even.

Hardest stretches
  • 6 games in 11 days with 5,379 travel miles

    Feb 15Feb 25

  • 6 games in 11 days with 5,152 travel miles

    Jan 18Jan 28

  • 6 games in 13 days with 5,826 travel miles

    Oct 10Oct 22

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