Rosternomics
← Trade Database
Share on 𝕏
May 19, 2014

TORHOU

TOR won this trade +$0.0M surplus TOR won this trade +0.0 WAR
TORTOR Alex Anthopoulos net +$0.0M net +0.0
received +$0.0M+$0.0M ± $8M expected surplus · +$0.0M realized received 0.1 ± 1 expected · 0.0 realized WAR
receives — most valuable first
Raúl ValdésP·37y·L/L
+$0.0M+$0.0M± $8M exp surplusrealized +$0.0M 0.1± 1 exp WARrealized 0.0
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 0.3/yr over 2.3 seasons
Talent
0.27/yr blended
Horizon
0.6 control yr
HOUHOU Jeff Luhnow net +$0.0M net +0.0
received +$0.0M+$0.0M ± $0M expected surplus · +$0.0M realized received 0.0 ± 0 expected · 0.0 realized WAR
receives — most valuable first
cash / PTBNL
+$0.0M+$0.0M± $0M exp surplusrealized +$0.0M 0.0± 0 exp WARrealized 0.0
Cash or player to be named — no projection

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 →