Rosternomics
← Trade Database
March 27, 2019

TOROAK

TOR won this trade +$11.2M surplus TOR won this trade +0.4 WAR
TORTOR Mark Shapiro net +$11.2M net +0.4
received +$0.0M+$0.0M ± $5M expected surplus · +$0.0M realized received 0.2 ± 1 expected · 0.0 realized WAR
Playoff odds: this deal moved TOR's 2019 odds 1% → 1% (+0.1 pts) — how trade timing is graded ↗
receives — most valuable first
Jesus Lopez
+$0.3M+$0.3M± $5M exp surplusrealized +$0.0M 0.2± 1 exp WARrealized 0.0
Unidentified minor-league throw-in — valued at the ~0.2 WAR base rate (most produce nothing)
OAKOAK Billy Beane net −$11.2M net -0.4
received −$6.4M−$6.4M ± $7M expected surplus · −$11.2M realized received 0.5 ± 1 expected · -0.4 realized WAR
Playoff odds: this deal moved OAK's 2019 odds 67% → 64% (-2.3 pts) — how trade timing is graded ↗
receives — most valuable first
Kendrys Morales1B/DH·36y·B/R
−$6.0M−$6.0M± $7M exp surplusrealized −$11.2M 0.5± 1 exp WARrealized -0.4
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 0.6/yr over 2.6 seasons
Talent
0.46/yr blended
Horizon
1.1 control yr × 0.93 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.