Rosternomics
← Trade Database
January 24, 2023

KCRBOS

unsettledToo soon to call — players still accruing.
KCRKCR J.J. Picollo net −$0.8M net +0.0
received +$3.2M+$3.2M ± $10M expected surplus · −$0.8M realized received 1.0 ± 1 expected · 0.0 realized WAR
receives — most valuable first
Josh TaylorP·30y·L/L
+$3.0M+$3.0M± $10M exp surplusrealized −$0.8M 1.0± 1 exp WARrealized 0.0
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 0.8/yr over 1.0 season
Talent
0.49/yr blended
Horizon
3.0 control yrs × 0.71 age decline
BOSBOS Chaim Bloom net +$0.8M net +0.0
received +$3.2M+$3.2M ± $10M expected surplus · +$0.0M realized received 1.3 ± 1 expected · 0.0 realized WAR
receives — most valuable first
Adalberto MondesíSS·27y·B/R
+$3.1M+$3.1M± $10M exp surplusrealized +$0.0M 1.3± 1 exp WARrealized 0.0
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 3.2/yr over 0.7 season
Talent
1.34/yr blended
Horizon
1.0 control yr
Fan verdict — who overpaid?

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.