Rosternomics
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June 8, 1988

SFGMIL

SFG won this trade +$23.2M surplus SFG won this trade +5.0 WAR
SFGSFG Al Rosen net +$23.2M net +5.0
received +$3.2M+$3.2M ± $26M expected surplus · +$4.8M realized received 1.0 ± 3 expected · 3.8 realized WAR
Playoff odds: this deal moved SFG's 1988 odds 34% → 51% (+16.6 pts) — how trade timing is graded ↗
receives — most valuable first
Ernie Riles3B/SS·28y·L/R
+$3.2M+$3.2M± $26M exp surplusrealized +$4.8M 1.0± 3 exp WARrealized 3.8
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 0.4/yr over 1.5 season
Talent
0.32/yr blended
Horizon
3.0 control yrs
MILMIL Harry Dalton net −$23.2M net -5.0
received +$3.2M+$3.2M ± $18M expected surplus · −$18.4M realized received 1.0 ± 2 expected · -1.2 realized WAR
Playoff odds: this deal moved MIL's 1988 odds 25% → 14% (-10.7 pts) — how trade timing is graded ↗
receives — most valuable first
Jeffrey LeonardOF·33y·R/R
+$3.2M+$3.2M± $18M exp surplusrealized −$18.4M 1.0± 2 exp WARrealized -1.2
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 0.8/yr over 1.6 season
Talent
0.55/yr blended
Horizon
2.8 control yrs × 0.63 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 (Baseball America rank / draft slot, or a baseline) with his recent track record, projected over the years of team control acquired. The ± band is the uncertainty — wide for unproven prospects, tight for established veterans. 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.

Historically these expected values are unbiased and land within ±2 WAR of reality 75% of the time — yet the side the model favors actually comes out ahead only 53% of the time. The grade is a calibrated bet, not a prediction. Why trades are an efficient market →