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.
DALDallas Stars
Biggest need

Depth defense

-37team 50.0 vs league 87.3 · high
All needs · ranked
4 flagged
01
Depth defensehigh
-37
02
Bottom-6 forward depthhigh
-33
03
Top-6 forwardhigh
-17
04
Top-pair defensemanhigh
-12
Best value fits
8 ranked · league board →
#FromPlayer
1CHIstats: UTA
Ian ColeD · +1.18Coming off a solid contributor season, fits the style well (80/100) — and comes badly underpriced by the market.
68+29.4UFA (est.)
78/100 · model-est.
2ANA
Ian MooreD · +0.80Coming off a depth season, fits the style well (73/100) — and comes badly underpriced by the market.
67+28.7RFA (est.)
77/100 · model-est.
3COL
Josh MansonD · +1.80Coming off a solid contributor season, fits the style well (80/100) — and comes badly underpriced by the market.
67+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 (90/100) — and comes underpriced by the market.
70+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 (50/100) — and comes badly underpriced by the market.
66+28.9RFA (est.)
76/100 · model-est.
6PITstats: VGK
Kaedan KorczakD · +0.87Coming off a depth season, fits the style well (73/100) — and comes badly underpriced by the market.
62+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 (90/100) — 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 (56/100) — and comes badly underpriced by the market.
65+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 (90/100) — and comes underpriced by the market.
+2.109045
STRONG FIT70/100 · model-est.
2TBL
Charle-Edouard D'AstousD · 74.3Coming off a solid contributor season, plays this club's style almost exactly (90/100) — and comes underpriced by the market.
+1.589044
STRONG FIT70/100 · model-est.
3TBL
Max CrozierD · 64.3Coming off a depth season, plays this club's style almost exactly (100/100) — and comes underpriced by the market.
+0.4410044
AVERAGE FIT69/100 · model-est.
4CBJ
Denton MateychukD · 74.0Coming off a solid contributor season, fits the style well (80/100) — and comes underpriced by the market.
+1.818051
AVERAGE FIT69/100 · model-est.
5TORstats: TBL
Darren RaddyshD · 82.7Coming off an all-star level season, brings a different stylistic profile (65/100) — and comes underpriced by the market.
+3.676554
AVERAGE FIT69/100 · model-est.
6COL
Brent BurnsD · 73.9Coming off a clear top-of-the-lineup season, plays this club's style almost exactly (90/100) — and comes underpriced by the market.
+2.079040
AVERAGE FIT69/100 · model-est.
7NSH
Roman JosiD · 57.3Coming off a solid contributor season, plays this club's style almost exactly (100/100).
+1.9710052
AVERAGE FIT69/100 · model-est.
8VGK
Brayden McNabbD · 60.6Coming off a depth season, plays this club's style almost exactly (100/100) — and comes underpriced by the market.
+0.6110048
AVERAGE FIT69/100 · model-est.
9PIT
Erik KarlssonD · 60.9Coming off a clear top-of-the-lineup season, plays this club's style almost exactly (100/100) — and comes underpriced by the market.
+2.5610047
AVERAGE FIT68/100 · model-est.
10CAR
Alexander NikishinD · 62.7Coming off a solid contributor season, plays this club's style almost exactly (100/100) — and comes underpriced by the market.
+1.5410045
AVERAGE FIT68/100 · model-est.
11VGK
Shea TheodoreD · 86.4Coming off a clear top-of-the-lineup season, brings a different stylistic profile (65/100) — and comes underpriced by the market.
+2.476548
AVERAGE FIT68/100 · model-est.
12CHIstats: UTA
Ian ColeD · 68.3Coming off a solid contributor season, fits the style well (80/100) — and comes badly underpriced by the market.
+1.188056
AVERAGE FIT68/100 · model-est.
13LAK
Mikey AndersonD · 56.8Coming off a depth season, plays this club's style almost exactly (100/100) — and comes underpriced by the market.
+0.7310052
AVERAGE FIT68/100 · model-est.
14PHI
Rasmus RistolainenD · 58.1Coming off a depth season, plays this club's style almost exactly (100/100).
+0.4410050
AVERAGE FIT68/100 · model-est.
15CAR
Shayne GostisbehereD · 76.5Coming off a clear top-of-the-lineup season, fits the style well (80/100) — and comes underpriced by the market.
+2.388045
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.