Backcheck
Roster needs · candidate fits
As of Sun, Sep 20

The Trade Board

The model measures each club's roster gaps against the league, then ranks outside players on how well they'd plug the biggest one — on-ice value, style fit, and how gettable the seller looks. On-ice fit only; nothing here is cap-validated.

How to read this

First the diagnosis: we compare this club's impact in every roster bucket — top-six scoring, defensive D, and so on — against the league average, and rank the shortfalls. The biggest gap becomes the shopping brief.

Then the shortlist: outside players are scored on how well they'd plug that hole — their on-ice value (), their with how this club creates offense, and an that assumes struggling clubs sell and contenders don't. Know what this board is not: it has no salary data, no cap math, no term, and no idea whether a GM would return the call. It's a scouting shortlist built purely from on-ice fit — the phone call is your job.

NEED
roster bucket where the club trails league average, ranked by the gap
WAR*
on-ice value — a model proxy, not official WAR
STYLE
0–100: does the candidate score the way this club scores?
ACQ†
0–100: how gettable the seller looks, from points pace alone
FIT
value × need × style × acquirability — the shortlist order
Fine print · verbatim from the model
  • on-ice fit only; not cap-validated
  • acquirability is a PROXY (team points pace), not real availability; no contract/cap/AAV/term data exists.
  • No real contract data (PuckPedia/CapWages are paid). Contract phase is an age/experience estimate; market visibility proxies what contracts pay for.
SEASeattle Kraken
Biggest need

Depth defense

-43team 44.4 vs league 87.3 · high
All needs · ranked
4 flagged
01
Depth defensehigh
-43
02
Bottom-6 forward depthhigh
-32
03
Top-pair defensemanhigh
-26
04
Top-6 forwardhigh
-24
Best value fits
8 ranked · league board →
#FromPlayer
1CHIstats: UTA
Ian ColeD · +1.18Coming off a solid contributor season, fits the style well (82/100) — and comes badly underpriced by the market.
69+29.4UFA (est.)
78/100 · model-est.
2ANA
Ian MooreD · +0.80Coming off a depth season, fits the style well (75/100) — and comes badly underpriced by the market.
68+28.7RFA (est.)
77/100 · model-est.
3COL
Josh MansonD · +1.80Coming off a solid contributor season, fits the style well (82/100) — and comes badly underpriced by the market.
68+28.7UFA (est.)
77/100 · model-est.
4TBL
Charle-Edouard D'AstousD · +1.58Coming off a solid contributor season, plays this club's style almost exactly (91/100) — and comes underpriced by the market.
71+23.4UFA (est.)
77/100 · model-est.
5OTT
Jordan SpenceD · +2.37Coming off a clear top-of-the-lineup season, brings a different stylistic profile (51/100) — and comes badly underpriced by the market.
66+28.9RFA (est.)
77/100 · model-est.
6PITstats: VGK
Kaedan KorczakD · +0.87Coming off a depth season, fits the style well (75/100) — and comes badly underpriced by the market.
63+32.9RFA (est.)
76/100 · model-est.
7COL
Brent BurnsD · +2.07Coming off a clear top-of-the-lineup season, plays this club's style almost exactly (91/100) — and comes underpriced by the market.
69+22.7UFA (est.)
76/100 · model-est.
8COL
Sam MalinskiD · +2.66Coming off a clear top-of-the-lineup season, brings a different stylistic profile (57/100) — and comes badly underpriced by the market.
66+28.1UFA (est.)
76/100 · model-est.

◆ Value basis · No real contract data (PuckPedia/CapWages are paid). Contract phase is an age/experience estimate; market visibility proxies what contracts pay for.

Candidate fits · Depth defense
15 ranked
#FromPlayer
1CAR
K'Andre MillerD · 75.1Coming off a clear top-of-the-lineup season, plays this club's style almost exactly (91/100) — and comes underpriced by the market.
+2.109145
STRONG FIT71/100 · model-est.
2TBL
Charle-Edouard D'AstousD · 74.3Coming off a solid contributor season, plays this club's style almost exactly (91/100) — and comes underpriced by the market.
+1.589144
STRONG FIT71/100 · model-est.
3CBJ
Denton MateychukD · 74.0Coming off a solid contributor season, fits the style well (82/100) — and comes underpriced by the market.
+1.818251
AVERAGE FIT69/100 · model-est.
4TORstats: TBL
Darren RaddyshD · 82.7Coming off an all-star level season, brings a different stylistic profile (66/100) — and comes underpriced by the market.
+3.676654
AVERAGE FIT69/100 · model-est.
5COL
Brent BurnsD · 73.9Coming off a clear top-of-the-lineup season, plays this club's style almost exactly (91/100) — and comes underpriced by the market.
+2.079140
AVERAGE FIT69/100 · model-est.
6VGK
Shea TheodoreD · 86.4Coming off a clear top-of-the-lineup season, brings a different stylistic profile (66/100) — and comes underpriced by the market.
+2.476648
AVERAGE FIT69/100 · model-est.
7CHIstats: UTA
Ian ColeD · 68.3Coming off a solid contributor season, fits the style well (82/100) — and comes badly underpriced by the market.
+1.188256
AVERAGE FIT69/100 · model-est.
8TBL
Max CrozierD · 64.3Coming off a depth season, plays this club's style almost exactly (99/100) — and comes underpriced by the market.
+0.449944
AVERAGE FIT69/100 · model-est.
9CAR
Shayne GostisbehereD · 76.5Coming off a clear top-of-the-lineup season, fits the style well (82/100) — and comes underpriced by the market.
+2.388245
AVERAGE FIT69/100 · model-est.
10CBJ
Ivan ProvorovD · 64.8Coming off a solid contributor season, plays this club's style almost exactly (91/100) — and comes underpriced by the market.
+1.519151
AVERAGE FIT69/100 · model-est.
11NSH
Roman JosiD · 57.3Coming off a solid contributor season, plays this club's style almost exactly (99/100).
+1.979952
AVERAGE FIT68/100 · model-est.
12VGK
Brayden McNabbD · 60.6Coming off a depth season, plays this club's style almost exactly (99/100) — and comes underpriced by the market.
+0.619948
AVERAGE FIT68/100 · model-est.
13PIT
Erik KarlssonD · 60.9Coming off a clear top-of-the-lineup season, plays this club's style almost exactly (99/100) — and comes underpriced by the market.
+2.569947
AVERAGE FIT68/100 · model-est.
14CAR
Alexander NikishinD · 62.7Coming off a solid contributor season, plays this club's style almost exactly (99/100) — and comes underpriced by the market.
+1.549945
AVERAGE FIT68/100 · model-est.
15OTT
Jake SandersonD · 87.9Coming off a clear top-of-the-lineup season, brings a different stylistic profile (62/100).
+3.166247
AVERAGE FIT68/100 · model-est.
◆ The Modelon-ice fit only; not cap-validated* WAR is a model-estimated proxy, not official WAR

acquirability is a PROXY (team points pace), not real availability; no contract/cap/AAV/term data exists.

Fit score blends on-ice value, positional need, style match and the acquirability proxy. It says nothing about contracts, cap space, term, or whether a seller would pick up the phone — read it as a scouting shortlist, not a trade machine.