Rosternomics
← Trade Database
May 14, 2022

SEASFG

unsettledToo soon to call — players still accruing.
SEASEA Jerry Dipoto net +$0.8M net +0.2
received −$0.8M−$0.8M ± $10M expected surplus · +$0.0M realized received 0.3 ± 1 expected · 0.0 realized WAR
Playoff odds: this deal moved SEA's 2022 odds 27% → 28% (+0.8 pts) — how trade timing is graded ↗
receives — most valuable first
Alex Blandino2B/3B·29y·R/R
−$0.6M−$0.6M± $10M exp surplusrealized +$0.0M 0.3± 1 exp WARrealized 0.0
Prior
league baseline (track record outweighs draft pedigree) → 0.29/yr
Evidence
recent form -0.2/yr over 0.5 season
Talent
0.15/yr blended
Horizon
3.0 control yrs × 0.78 age decline
SFGSFG Farhan Zaidi net −$0.8M net -0.2
received +$0.0M+$0.0M ± $26M expected surplus · −$0.8M realized received 0.8 ± 3 expected · -0.2 realized WAR
Playoff odds: this deal moved SFG's 2022 odds 23% → 22% (-0.7 pts) — how trade timing is graded ↗
receives — most valuable first
Stuart FairchildOF·26y·R/R
−$0.3M−$0.3M± $26M exp surplusrealized −$0.8M 0.8± 3 exp WARrealized -0.2
Prior
#38 overall draft pick → 0.24/yr
Evidence
recent form -1.2/yr over 0.1 season
Talent
0.15/yr blended
Horizon
5.5 control yrs × 0.94 age decline
Fan verdict — who overpaid?

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 (composite top-100 rank / draft slot, or a baseline) with his recent track record, projected over the years of team control acquired. The ± figure is a historically calibrated predictive standard deviation, measuring how widely comparable forecasts have missed around their expected value. 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.