Rosternomics
← Trade Database
Share on 𝕏
November 4, 2025

BALCHC

unsettledToo soon to call — players still accruing.
BALBAL Mike Elias net −$8.8M net +0.0
received −$7.2M−$7.2M ± $12M expected surplus · −$8.8M realized received 0.4 ± 2 expected · 0.0 realized WAR
receives — most valuable first
Andrew KittredgeP·36y·R/R
−$7.2M−$7.2M± $12M exp surplusrealized −$8.8M 0.4± 2 exp WARrealized 0.0
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 0.5/yr over 2.7 seasons
Talent
0.41/yr blended
Horizon
1.0 control yr
CHCCHC Jed Hoyer net +$8.8M 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 →