Rosternomics
← Trade Database
November 30, 2018

SEACHW

SEA won this trade +$7.2M surplus SEA won this trade +0.1 WAR
SEASEA Jerry Dipoto net +$7.2M net +0.1
received +$6.4M+$6.4M ± $24M expected surplus · +$4.8M realized received 2.6 ± 3 expected · 1.2 realized WAR
Playoff odds: this deal moved SEA's 2019 odds 1% → 1% (+0.1 pts) — how trade timing is graded ↗
receives — most valuable first
Omar NarváezC·27y·L/R
+$6.7M+$6.7M± $24M exp surplusrealized +$4.8M 2.6± 3 exp WARrealized 1.2
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 1.1/yr over 1.3 season
Talent
0.65/yr blended
Horizon
4.0 control yrs
CHWCHW Kenny Williams net −$7.2M net -0.1
received +$4.8M+$4.8M ± $16M expected surplus · −$2.4M realized received 1.5 ± 2 expected · 1.1 realized WAR
Playoff odds: this deal moved CHW's 2019 odds 1% → 1% (-0.2 pts) — how trade timing is graded ↗
receives — most valuable first
Alex ColoméP·30y·R/R
+$5.0M+$5.0M± $16M exp surplusrealized −$2.4M 1.5± 2 exp WARrealized 1.1
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 1.1/yr over 2.4 seasons
Talent
0.82/yr blended
Horizon
2.0 control yrs × 0.92 age decline

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.