Rosternomics
← Exit to Trade Database
April 28, 2026

LADTOR

unsettledToo soon to call — players still accruing.
🗳 Trade VotingRate every deal of the season — biggest first. Your verdict vs. the model.
22 / 207table view →skip →
Fan verdict — who overpaid?
LADLAD Andrew Friedman net +$0.0M net +0.0
received +$19.2M+$19.2M ± $38M expected surplus · +$0.0M realized received 4.3 ± 5 expected · 0.0 realized WAR
receives — most valuable first
Tyler Fitzgerald2B/SS·28y·R/R
+$19.0M+$19.0M± $38M exp surplusrealized +$0.0M 4.3± 5 exp WARrealized 0.0
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 2.3/yr over 0.9 season
Talent
1.13/yr blended
Horizon
5.0 control yrs × 0.75 age decline
TORTOR Ross Atkins net +$0.0M net +0.0
received +$0.0M+$0.0M ± $0M expected surplus · +$0.0M realized received 0.0 ± 0 expected · 0.0 realized WAR
receives — most valuable first
cash / PTBNL
+$0.0M+$0.0M± $0M exp surplusrealized +$0.0M 0.0± 0 exp WARrealized 0.0
Cash or player to be named — no projection

Each player is valued on what he was expected to produce at the time of the trade, versus what he actually produced for his new team.

Expected WAR blends a player's pedigree (composite top-100 rank / draft slot, or a baseline) with his recent track record, projected over the years of team control acquired. The ± figure is a historically calibrated predictive standard deviation, measuring how widely comparable forecasts have missed around their expected value. Surplus values that production at the FA market price of a win (~$8M/WAR) minus salary — so cost-controlled players carry large surplus and expensive ones little, even at the same WAR. Who won is descriptive, not a skill claim: ~99% of a trade's outcome is unforeseeable at the time.