Rosternomics
← Trade Database
Share on 𝕏
April 2, 2018

ARIBAL

ARI won this trade +$2.4M surplus ARI won this trade +0.6 WAR
ARIARI Mike Hazen net +$2.4M net +0.6
received +$0.0M+$0.0M ± $46M expected surplus · +$2.4M realized received 0.7 ± 6 expected · 0.6 realized WAR
receives — most valuable first
Stefan CrichtonP·26y·R/R
+$0.0M+$0.0M± $46M exp surplusrealized +$2.4M 0.7± 6 exp WARrealized 0.6
Prior
#699 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form -0.1/yr over 0.5 season
Talent
0.13/yr blended
Horizon
5.0 control yrs
BALBAL Dan Duquette net −$2.4M net -0.6
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 →