IcePick Analytics
Trade Trees / auto-generated

Columbus Blue Jackets / New York Rangers

Root trade Feb 25, 2019 · Adam McQuaid, Julius Bergman · 0 linked trades downstream

Auto-generated. This tree is machine-built from public transaction records: it follows re-traded players into their next deal and shows the player each draft pick became. Best-effort, so it may contain errors.

Trade grade

Revisiting it now, the strong edge goes to New York Rangers.

Looking back from 2026 at what each side's haul produced since 2019.

Columbus Blue Jackets logoColumbus Blue Jackets4

Team pts: 103 before → 76 after

New York Rangers logoNew York Rangers45

Team pts: 90 before → 72 after

Value = position-weighted production for the acquiring team, with playoffs weighted up and bonuses for Cups and major awards won there. Picks count as the drafted player's production, and when a piece was later re-traded, whatever came back counts toward this trade too, so value follows the full chain. Production only, no salary/cap context. Best-effort.

Columbus Blue Jackets logoNew York Rangers logo
Feb 25, 2019
Columbus Blue Jackets logoColumbus Blue Jackets receive
New York Rangers logoNew York Rangers receive