Rosternomics
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August 31, 2015

SFGBOS

BOS won this trade +$6.4M surplus SFG won this trade +0.1 WAR
SFGSFG Brian Sabean net −$6.4M net +0.1
received +$12.8M+$12.8M ± $23M expected surplus · −$6.4M realized received 3.5 ± 3 expected · 0.1 realized WAR
Playoff odds: this deal moved SFG's 2015 odds 32% → 32% (+0.7 pts) — how trade timing is graded ↗
receives — most valuable first
Alejandro De AzaOF·31y·L/L
+$12.8M+$12.8M± $23M exp surplusrealized −$6.4M 3.5± 3 exp WARrealized 0.1
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 1.9/yr over 2.1 seasons
Talent
1.31/yr blended
Horizon
3.0 control yrs × 0.89 age decline
BOSBOS Dave Dombrowski net +$6.4M net -0.1
received +$0.0M+$0.0M ± $12M expected surplus · +$0.0M realized received 0.2 ± 2 expected · 0.0 realized WAR
Playoff odds: this deal moved BOS's 2015 odds 6% → 6% (-0.2 pts) — how trade timing is graded ↗
receives — most valuable first
Luis Ysla
+$0.0M+$0.0M± $12M exp surplusrealized +$0.0M 0.2± 2 exp WARrealized 0.0
Unidentified minor-league throw-in — valued at the ~0.2 WAR base rate (most produce nothing)

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 →