Rosternomics
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December 9, 2014

LADANA

LAD won this trade +$1.6M surplus LAD won this trade +0.8 WAR
LADLAD Ned Colletti net +$1.6M net +0.8
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 LAD's 2015 odds 84% → 85% (+0.3 pts) — how trade timing is graded ↗
receives — most valuable first
Matt Long
+$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)
ANAANA Jerry Dipoto net −$1.6M net -0.8
received −$0.8M−$0.8M ± $8M expected surplus · −$1.6M realized received 0.1 ± 1 expected · -0.8 realized WAR
Playoff odds: this deal moved ANA's 2015 odds 6% → 6% (-0.1 pts) — how trade timing is graded ↗
receives — most valuable first
Drew ButeraC·31y·R/R
−$1.0M−$1.0M± $8M exp surplusrealized −$1.6M 0.1± 1 exp WARrealized -0.8
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 0.0/yr over 0.9 season
Talent
0.13/yr blended
Horizon
2.0 control yrs × 0.50 age decline

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.