Rosternomics
← Trade Database
July 30, 2018

NYYSEA

NYY won this trade +$1.6M surplus NYY won this trade +0.1 WAR
NYYNYY Brian Cashman net +$1.6M net +0.1
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 NYY's 2018 odds 94% → 94% (+0.1 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
SEASEA Jerry Dipoto net −$1.6M net -0.1
received +$1.6M+$1.6M ± $7M expected surplus · −$1.6M realized received 0.6 ± 1 expected · -0.1 realized WAR
Playoff odds: this deal moved SEA's 2018 odds 22% → 22% (-0.4 pts) — how trade timing is graded ↗
receives — most valuable first
Adam WarrenP·30y·R/R
+$1.8M+$1.8M± $7M exp surplusrealized −$1.6M 0.6± 1 exp WARrealized -0.1
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 0.8/yr over 2.5 seasons
Talent
0.61/yr blended
Horizon
1.0 control yr

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.