Rosternomics
← Trade Database
March 13, 1996

WSNBAL

WSN won this trade +$0.0M surplus WSN won this trade +0.0 WAR
WSNWSN Jim Beattie net +$0.0M net +0.0
received −$4.8M−$4.8M ± $23M expected surplus · −$4.0M realized received 0.0 ± 3 expected · -0.4 realized WAR
Playoff odds: this deal moved WSN's 1996 odds 14% → 16% (+2 pts) — how trade timing is graded ↗
receives — most valuable first
Sherman ObandoDH/OF·26y·R/R
−$4.5M−$4.5M± $23M exp surplusrealized −$4.0M 0.0± 3 exp WARrealized -0.4
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form -2.0/yr over 0.2 season
Talent
-0.09/yr blended
Horizon
5.5 control yrs
BALBAL Pat Gillick net +$0.0M net +0.0
received +$7.2M+$7.2M ± $28M expected surplus · −$4.0M realized received 1.5 ± 4 expected · -0.4 realized WAR
Playoff odds: this deal moved BAL's 1996 odds 37% → 34% (-3.5 pts) — how trade timing is graded ↗
receives — most valuable first
Tony TarascoOF·25y·L/R
+$6.9M+$6.9M± $28M exp surplusrealized −$4.0M 1.5± 4 exp WARrealized -0.4
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 0.5/yr over 1.3 season
Talent
0.37/yr blended
Horizon
4.0 control yrs

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.