Rosternomics
← Trade Database
May 24, 1990

SEASFG

SFG won this trade +$4.0M surplus SEA won this trade +0.2 WAR
SEASEA Woody Woodward net −$4.0M net +0.2
received −$4.8M−$4.8M ± $40M expected surplus · −$4.0M realized received 0.0 ± 5 expected · 0.2 realized WAR
Playoff odds: this deal moved SEA's 1990 odds 40% → 43% (+2.5 pts) — how trade timing is graded ↗
receives — most valuable first
Russ SwanP·26y·L/L
−$4.5M−$4.5M± $40M exp surplusrealized −$4.0M 0.0± 5 exp WARrealized 0.2
Prior
#214 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form -7.3/yr over 0.1 season
Talent
-0.18/yr blended
Horizon
5.5 control yrs
SFGSFG Al Rosen net +$4.0M net -0.2
received +$3.2M+$3.2M ± $26M expected surplus · +$0.0M realized received 1.3 ± 3 expected · 0.0 realized WAR
Playoff odds: this deal moved SFG's 1990 odds 9% → 9% (-0.8 pts) — how trade timing is graded ↗
receives — most valuable first
Gary EaveP·26y·R/R
+$3.0M+$3.0M± $26M exp surplusrealized +$0.0M 1.3± 3 exp WARrealized 0.0
Prior
#302 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form 0.6/yr over 0.2 season
Talent
0.27/yr blended
Horizon
5.0 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.