Rosternomics
← Trade Database
January 4, 2023

MILPIT

unsettledToo soon to call — players still accruing.
MILMIL Matt Arnold net +$0.0M net +0.5
received −$2.4M−$2.4M ± $14M expected surplus · +$0.0M realized received 0.1 ± 2 expected · 0.5 realized WAR
Playoff odds: this deal moved MIL's 2023 odds 16% → 17% (+1 pts) — how trade timing is graded ↗
receives — most valuable first
Bryse WilsonP·25y·R/R
−$2.4M−$2.4M± $14M exp surplusrealized +$0.0M 0.1± 2 exp WARrealized 0.5
Prior
#109 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form -0.1/yr over 1.3 season
Talent
0.03/yr blended
Horizon
4.0 control yrs
PITPIT Ben Cherington net +$0.0M net -0.5
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 PIT's 2023 odds 2% → 2% (-0.2 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
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.