Rosternomics
← Trade Database
January 23, 2017

LADTBR

TBR won this trade +$4.8M surplus LAD won this trade +0.3 WAR
LADLAD Andrew Friedman net −$4.8M net +0.3
received +$7.2M+$7.2M ± $11M expected surplus · −$6.4M realized received 1.8 ± 1 expected · 0.2 realized WAR
Playoff odds: this deal moved LAD's 2017 odds 90% → 91% (+1.5 pts) — how trade timing is graded ↗
receives — most valuable first
Logan Forsythe2B·30y·R/R
+$7.5M+$7.5M± $11M exp surplusrealized −$6.4M 1.8± 1 exp WARrealized 0.2
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 2.6/yr over 2.1 seasons
Talent
1.76/yr blended
Horizon
1.0 control yr
TBRTBR Erik Neander net +$4.8M net -0.3
received −$4.8M−$4.8M ± $26M expected surplus · −$1.6M realized received 0.0 ± 3 expected · -0.1 realized WAR
Playoff odds: this deal moved TBR's 2017 odds 20% → 17% (-2.6 pts) — how trade timing is graded ↗
receives — most valuable first
José De LeónP·24y·R/R
−$4.5M−$4.5M± $26M exp surplusrealized −$1.6M 0.0± 3 exp WARrealized -0.1
Prior
#724 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form -2.7/yr over 0.1 season
Talent
-0.08/yr blended
Horizon
5.5 control yrs

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.