Rosternomics
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April 20, 2009

ATLSTL

ATL won this trade +$0.0M surplus ATL won this trade +0.0 WAR
ATLATL Frank Wren net +$0.0M net +0.0
received +$14.4M+$14.4M ± $45M expected surplus · −$0.8M realized received 3.7 ± 6 expected · 0.0 realized WAR
Playoff odds: this deal moved ATL's 2009 odds 51% → 51% (-0.4 pts) — how trade timing is graded ↗
receives — most valuable first
Brian BartonOF·27y·R/R
+$14.4M+$14.4M± $45M exp surplusrealized −$0.8M 3.7± 6 exp WARrealized -0.0
Prior
BA #86 pedigree (2007) → 0.33/yr
Evidence
recent form 1.7/yr over 0.5 season
Talent
0.77/yr blended
Horizon
5.0 control yrs × 0.97 age decline
STLSTL John Mozeliak net +$0.0M net +0.0
received +$0.0M+$0.0M ± $19M expected surplus · −$0.8M realized received 0.3 ± 2 expected · 0.0 realized WAR
Playoff odds: this deal moved STL's 2009 odds 48% → 49% (+0.4 pts) — how trade timing is graded ↗
receives — most valuable first
Blaine BoyerP·28y·R/R
+$0.0M+$0.0M± $19M exp surplusrealized −$0.8M 0.3± 2 exp WARrealized 0.0
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 0.1/yr over 1.5 season
Talent
0.15/yr blended
Horizon
2.0 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 (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 →