Rosternomics
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July 31, 2006

PHICIN

PHI won this trade +$11.2M surplus PHI won this trade +0.3 WAR
PHIPHI Pat Gillick net +$11.2M net +0.3
received +$0.0M+$0.0M ± $53M expected surplus · +$0.0M realized received 0.9 ± 7 expected · 0.0 realized WAR
Playoff odds: this deal moved PHI's 2006 odds 41% → 42% (+0.6 pts) — how trade timing is graded ↗
receives — most valuable first
Justin GermanoP·24y·R/R
+$0.0M+$0.0M± $53M exp surplusrealized +$0.0M 0.9± 7 exp WARrealized 0.0
Prior
#379 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form -0.0/yr over 0.3 season
Talent
0.16/yr blended
Horizon
5.5 control yrs
CINCIN Dan O'Brien net −$11.2M net -0.3
received −$5.6M−$5.6M ± $0M expected surplus · −$11.2M realized received 0.0 ± 0 expected · -0.3 realized WAR
Playoff odds: this deal moved CIN's 2006 odds 17% → 17% (-0.3 pts) — how trade timing is graded ↗
receives — most valuable first
Rheal CormierP·39y·L/L
−$5.6M−$5.6M± $0M exp surplusrealized −$11.2M 0.0± 0 exp WARrealized -0.3
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 0.3/yr over 2.8 seasons
Talent
0.25/yr blended
Horizon
0.0 control yr

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 →