Rosternomics
← Trade Database
May 10, 1989

SFGPIT

PIT won this trade +$1.6M surplus SFG won this trade +1.2 WAR
SFGSFG Al Rosen net −$1.6M net +1.2
received +$2.4M+$2.4M ± $14M expected surplus · −$4.0M realized received 1.0 ± 2 expected · 0.9 realized WAR
Playoff odds: this deal moved SFG's 1989 odds 42% → 48% (+6.7 pts) — how trade timing is graded ↗
receives — most valuable first
Ken Oberkfell2B/3B·33y·L/R
+$2.8M+$2.8M± $14M exp surplusrealized −$4.0M 1.0± 2 exp WARrealized 0.9
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 0.8/yr over 2.2 seasons
Talent
0.59/yr blended
Horizon
2.0 control yrs × 0.82 age decline
PITPIT Larry Doughty net +$1.6M net -1.2
received −$2.4M−$2.4M ± $18M expected surplus · −$2.4M realized received 0.2 ± 2 expected · -0.3 realized WAR
Playoff odds: this deal moved PIT's 1989 odds 11% → 8% (-2.3 pts) — how trade timing is graded ↗
receives — most valuable first
Roger SamuelsP·28y·L/L
−$2.6M−$2.6M± $18M exp surplusrealized −$2.4M 0.2± 2 exp WARrealized -0.3
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form -0.3/yr over 0.5 season
Talent
0.05/yr blended
Horizon
5.0 control yrs × 0.60 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.