Rosternomics
← Trade Database
October 30, 2014

TORKCR

TOR won this trade +$11.2M surplus TOR won this trade +1.5 WAR
TORTOR Alex Anthopoulos net +$11.2M net +1.5
received +$4.0M+$4.0M ± $29M expected surplus · +$11.2M realized received 1.4 ± 4 expected · 1.5 realized WAR
Playoff odds: this deal moved TOR's 2015 odds 85% → 89% (+4 pts) — how trade timing is graded ↗
receives — most valuable first
Liam HendriksP·26y·R/R
+$3.8M+$3.8M± $29M exp surplusrealized +$11.2M 1.4± 4 exp WARrealized 1.5
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 0.4/yr over 0.8 season
Talent
0.28/yr blended
Horizon
5.0 control yrs
KCRKCR Dayton Moore net −$11.2M net -1.5
received +$0.0M+$0.0M ± $6M expected surplus · +$0.0M realized received 0.2 ± 1 expected · 0.0 realized WAR
Playoff odds: this deal moved KCR's 2015 odds 27% → 21% (-6.3 pts) — how trade timing is graded ↗
receives — most valuable first
Santiago Nessy
+$0.3M+$0.3M± $6M exp surplusrealized +$0.0M 0.2± 1 exp WARrealized 0.0
Unidentified minor-league throw-in — valued at the ~0.2 WAR base rate (most produce nothing)

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.