Rosternomics
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March 30, 2026

DETSFG

unsettledToo soon to call — players still accruing.
DETDET Scott Harris 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
Playoff odds: this deal moved DET's 2026 odds 24.0% → 23.4% (-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
SFGSFG Buster Posey net +$0.0M net +0.0
received +$0.0M+$0.0M ± $47M expected surplus · +$0.0M realized received 0.8 ± 6 expected · 0.0 realized WAR
Playoff odds: this deal moved SFG's 2026 odds 9.3% → 9.6% (+0.3 pts) — how trade timing is graded ↗
receives — most valuable first
Dylan SmithP·26y·R/R
+$0.0M+$0.0M± $47M exp surplusrealized +$0.0M 0.8± 6 exp WARrealized -0.0
Prior
#74 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form -0.0/yr over 0.5 season
Talent
0.15/yr blended
Horizon
5.5 control yrs × 0.92 age decline

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 →