Rosternomics
← Trade Database
December 2, 2014

LADCIN

CIN won this trade +$3.2M surplus LAD won this trade +0.0 WAR
LADLAD Ned Colletti net −$3.2M net +0.0
received +$7.2M+$7.2M ± $16M expected surplus · −$4.0M realized received 1.5 ± 2 expected · -0.1 realized WAR
Playoff odds: this deal moved LAD's 2015 odds 85% → 85% (-0.2 pts) — how trade timing is graded ↗
receives — most valuable first
Chris HeiseyOF·30y·R/R
+$7.0M+$7.0M± $16M exp surplusrealized −$4.0M 1.5± 2 exp WARrealized -0.1
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 1.2/yr over 1.8 season
Talent
0.81/yr blended
Horizon
2.0 control yrs × 0.94 age decline
CINCIN Walt Jocketty net +$3.2M net +0.0
received −$4.8M−$4.8M ± $32M expected surplus · −$0.8M realized received 0.0 ± 4 expected · -0.1 realized WAR
Playoff odds: this deal moved CIN's 2015 odds 4% → 4% (+0.1 pts) — how trade timing is graded ↗
receives — most valuable first
Matt MagillP·25y·R/R
−$4.5M−$4.5M± $32M exp surplusrealized −$0.8M 0.0± 4 exp WARrealized -0.1
Prior
#937 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form -3.9/yr over 0.1 season
Talent
-0.19/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.