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
- 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.
Depth defense
| # | From | Player | ||||
|---|---|---|---|---|---|---|
| 1 | CHIstats: UTA | Ian ColeD · +1.18Coming off a solid contributor season, brings a different stylistic profile (32/100) — and comes badly underpriced by the market. | 54 | +29.4 | UFA (est.) | 69/100 · model-est. |
| 2 | COL | Josh MansonD · +1.80Coming off a solid contributor season, brings a different stylistic profile (32/100) — and comes badly underpriced by the market. | 53 | +28.7 | UFA (est.) | 68/100 · model-est. |
| 3 | TBL | Charle-Edouard D'AstousD · +1.58Coming off a solid contributor season, brings a different stylistic profile (42/100) — and comes underpriced by the market. | 56 | +23.4 | UFA (est.) | 68/100 · model-est. |
| 4 | OTT | Artem ZubD · +1.37Coming off a solid contributor season, brings a different stylistic profile (59/100) — and comes underpriced by the market. | 57 | +20.2 | UFA (est.) | 68/100 · model-est. |
| 5 | OTT | Jordan SpenceD · +2.37Coming off a clear top-of-the-lineup season, brings a different stylistic profile (1/100) — and comes badly underpriced by the market. | 51 | +28.9 | RFA (est.) | 68/100 · model-est. |
| 6 | VGK | Jeremy LauzonD · +0.42Coming off a depth season, brings a different stylistic profile (59/100) — and comes underpriced by the market. | 54 | +23.3 | UFA (est.) | 67/100 · model-est. |
| 7 | PITstats: VGK | Kaedan KorczakD · +0.87Coming off a depth season, brings a different stylistic profile (25/100) — and comes badly underpriced by the market. | 48 | +32.9 | RFA (est.) | 67/100 · model-est. |
| 8 | COL | Brent BurnsD · +2.07Coming off a clear top-of-the-lineup season, brings a different stylistic profile (42/100) — and comes underpriced by the market. | 54 | +22.7 | UFA (est.) | 67/100 · 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.
| # | From | Player | ||||
|---|---|---|---|---|---|---|
| 1 | OTT | Thomas ChabotD · 60.0Coming off a solid contributor season, brings a different stylistic profile (68/100). | +1.25 | 68 | 47 | AVERAGE FIT59/100 · model-est. |
| 2 | VGK | Rasmus AnderssonD · 58.1Coming off a solid contributor season, brings a different stylistic profile (68/100). | +1.79 | 68 | 48 | AVERAGE FIT58/100 · model-est. |
| 3 | UTA | +1.69 | 81 | 47 | AVERAGE FIT58/100 · model-est. | |
| 4 | OTT | Artem ZubD · 64.2Coming off a solid contributor season, brings a different stylistic profile (59/100) — and comes underpriced by the market. | +1.37 | 59 | 47 | AVERAGE FIT57/100 · model-est. |
| 5 | PHI | +0.49 | 77 | 50 | AVERAGE FIT57/100 · model-est. | |
| 6 | SJSstats: ANA | Jacob TroubaD · 51.3Coming off a solid contributor season, brings a different stylistic profile (68/100). | +1.09 | 68 | 54 | AVERAGE FIT57/100 · model-est. |
| 7 | DET | +1.02 | 81 | 52 | AVERAGE FIT57/100 · model-est. | |
| 8 | TBL | +0.31 | 81 | 44 | AVERAGE FIT57/100 · model-est. | |
| 9 | CGYstats: NJD | +0.51 | 81 | 55 | AVERAGE FIT57/100 · model-est. | |
| 10 | COL | Cale MakarD · 67.4Coming off a clear top-of-the-lineup season, brings a different stylistic profile (59/100) — and comes underpriced by the market. | +3.39 | 59 | 40 | AVERAGE FIT57/100 · model-est. |
| 11 | CHIstats: BUF | Bowen ByramD · 55.5Coming off a solid contributor season, brings a different stylistic profile (59/100). | +1.41 | 59 | 56 | AVERAGE FIT57/100 · model-est. |
| 12 | LAK | +0.38 | 77 | 52 | AVERAGE FIT56/100 · model-est. | |
| 13 | NSHstats: DAL | Ilya LyubushkinD · 32.5Coming off a below-replacement season, plays this club's style almost exactly (92/100). | -0.17 | 92 | 52 | AVERAGE FIT56/100 · model-est. |
| 14 | CAR | K'Andre MillerD · 75.1Coming off a clear top-of-the-lineup season, brings a different stylistic profile (42/100) — and comes underpriced by the market. | +2.10 | 42 | 45 | AVERAGE FIT56/100 · model-est. |
| 15 | EDM | +0.19 | 96 | 48 | AVERAGE FIT56/100 · model-est. |