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.
STLSt. Louis Blues
Biggest need

Depth defense

-46team 41.1 vs league 87.3 · high
All needs · ranked
4 flagged
01
Depth defensehigh
-46
02
Bottom-6 forward depthhigh
-42
03
Top-pair defensemanhigh
-22
04
Top-6 forwardhigh
-20
Best value fits
8 ranked · league board →
#FromPlayer
1CHIstats: UTA
Ian ColeD · +1.18Coming off a solid contributor season, fits the style well (84/100) — and comes badly underpriced by the market.
69+29.4UFA (est.)
79/100 · model-est.
2ANA
Ian MooreD · +0.80Coming off a depth season, fits the style well (77/100) — and comes badly underpriced by the market.
68+28.7RFA (est.)
78/100 · model-est.
3COL
Josh MansonD · +1.80Coming off a solid contributor season, fits the style well (84/100) — and comes badly underpriced by the market.
68+28.7UFA (est.)
78/100 · model-est.
4TBL
Charle-Edouard D'AstousD · +1.58Coming off a solid contributor season, plays this club's style almost exactly (94/100) — 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 (53/100) — and comes badly underpriced by the market.
67+28.9RFA (est.)
77/100 · model-est.
6PITstats: VGK
Kaedan KorczakD · +0.87Coming off a depth season, fits the style well (77/100) — 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 (94/100) — and comes underpriced by the market.
70+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 (60/100) — 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 (94/100) — and comes underpriced by the market.
+2.109445
STRONG FIT72/100 · model-est.
2TBL
Charle-Edouard D'AstousD · 74.3Coming off a solid contributor season, plays this club's style almost exactly (94/100) — and comes underpriced by the market.
+1.589444
STRONG FIT71/100 · model-est.
3CBJ
Denton MateychukD · 74.0Coming off a solid contributor season, fits the style well (84/100) — and comes underpriced by the market.
+1.818451
AVERAGE FIT70/100 · model-est.
4TORstats: TBL
Darren RaddyshD · 82.7Coming off an all-star level season, brings a different stylistic profile (68/100) — and comes underpriced by the market.
+3.676854
AVERAGE FIT70/100 · model-est.
5COL
Brent BurnsD · 73.9Coming off a clear top-of-the-lineup season, plays this club's style almost exactly (94/100) — and comes underpriced by the market.
+2.079440
AVERAGE FIT70/100 · model-est.
6VGK
Shea TheodoreD · 86.4Coming off a clear top-of-the-lineup season, brings a different stylistic profile (68/100) — and comes underpriced by the market.
+2.476848
AVERAGE FIT69/100 · model-est.
7CHIstats: UTA
Ian ColeD · 68.3Coming off a solid contributor season, fits the style well (84/100) — and comes badly underpriced by the market.
+1.188456
AVERAGE FIT69/100 · model-est.
8CAR
Shayne GostisbehereD · 76.5Coming off a clear top-of-the-lineup season, fits the style well (84/100) — and comes underpriced by the market.
+2.388445
AVERAGE FIT69/100 · model-est.
9CBJ
Ivan ProvorovD · 64.8Coming off a solid contributor season, plays this club's style almost exactly (94/100) — and comes underpriced by the market.
+1.519451
AVERAGE FIT69/100 · model-est.
10OTT
Jake SandersonD · 87.9Coming off a clear top-of-the-lineup season, brings a different stylistic profile (64/100).
+3.166447
AVERAGE FIT68/100 · model-est.
11TBL
Ryan McDonaghD · 86.3Coming off a solid contributor season, brings a different stylistic profile (68/100) — and comes underpriced by the market.
+1.416844
AVERAGE FIT68/100 · model-est.
12ANA
Ian MooreD · 74.0Coming off a depth season, fits the style well (77/100) — and comes badly underpriced by the market.
+0.807752
AVERAGE FIT68/100 · model-est.
13NJD
Luke HughesD · 60.8Coming off a solid contributor season, plays this club's style almost exactly (94/100).
+1.329453
AVERAGE FIT68/100 · model-est.
14COL
Josh MansonD · 77.2Coming off a solid contributor season, fits the style well (84/100) — and comes badly underpriced by the market.
+1.808440
AVERAGE FIT68/100 · model-est.
15TBL
Max CrozierD · 64.3Coming off a depth season, plays this club's style almost exactly (96/100) — and comes underpriced by the market.
+0.449644
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.