Rosternomics
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March 20, 1998

DETCIN

DET won this trade +$0.0M surplus DET won this trade +0 WAR
DETDET Randy Smith net +$0.0M net +0.0
received −$1.6M−$1.6M ± $36M expected surplus · +$0.0M realized received 0.4 ± 4 expected · 0.0 realized WAR
receives — most valuable first
Tim Belk1B·28y·R/R
−$1.6M−$1.6M± $36M exp surplusrealized +$0.0M 0.4± 4 exp WARrealized 0.0
Prior
#409 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form -2.8/yr over 0.0 season
Talent
0.14/yr blended
Horizon
5.0 control yrs × 0.66 age decline
CINCIN Jim Bowden net +$0.0M net +0.0
received +$0.8M−$0.8M ± $14M expected surplus · +$0.0M realized received 0.1 ± 2 expected · 0.0 realized WAR
receives — most valuable first
Kevin BaezSS·31y·R/R
+$0.8M−$0.8M± $14M exp surplusrealized +$0.0M 0.1± 2 exp WARrealized 0.0
Prior
#182 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form -1.3/yr over 0.1 season
Talent
0.13/yr blended
Horizon
1.5 control yr × 0.67 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 →