Rosternomics
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August 1, 2022

TBRHOU

unsettledToo soon to call — players still accruing.
TBRTBR Erik Neander net +$40.8M net +5.6
received +$12.8M+$12.8M ± $52M expected surplus · +$40.8M realized received 3.4 ± 6 expected · 5.6 realized WAR
Playoff odds: this deal moved TBR's 2022 odds 17% → 21% (+4.1 pts) — how trade timing is graded ↗
receives — most valuable first
José SiriOF·27y·R/R
+$12.8M+$12.8M± $52M exp surplusrealized +$40.8M 3.4± 6 exp WARrealized 5.6
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 4.4/yr over 0.1 season
Talent
0.65/yr blended
Horizon
5.5 control yrs × 0.94 age decline
HOUHOU James Click net −$40.8M net -5.6
received +$0.0M+$0.0M ± $0M expected surplus · +$0.0M realized received 0.0 ± 0 expected · 0.0 realized WAR
Playoff odds: this deal moved HOU's 2022 odds 98% → 98% (-0.6 pts) — how trade timing is graded ↗
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 →