Rosternomics
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November 7, 2016

LADSEA

LAD won this trade +$8.0M surplus LAD won this trade +0.4 WAR
LADLAD Andrew Friedman net +$8.0M net +0.4
received +$0.8M+$0.8M ± $12M expected surplus · +$0.0M realized received 0.6 ± 2 expected · 0.0 realized WAR
Playoff odds: this deal moved LAD's 2017 odds 90% → 91% (+0.8 pts) — how trade timing is graded ↗
receives — most valuable first
Vidal NuñoP·29y·L/L
+$1.0M+$1.0M± $12M exp surplusrealized +$0.0M 0.6± 2 exp WARrealized 0.0
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 0.3/yr over 2.1 seasons
Talent
0.24/yr blended
Horizon
3.0 control yrs × 0.81 age decline
SEASEA Jerry Dipoto net −$8.0M net -0.4
received −$6.4M−$6.4M ± $0M expected surplus · −$8.0M realized received 0.0 ± 0 expected · -0.4 realized WAR
Playoff odds: this deal moved SEA's 2017 odds 11% → 10% (-0.9 pts) — how trade timing is graded ↗
receives — most valuable first
Carlos RuizC·38y·R/R
−$6.0M−$6.0M± $0M exp surplusrealized −$8.0M 0.0± 0 exp WARrealized -0.4
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 0.6/yr over 1.8 season
Talent
0.43/yr blended
Horizon
0.0 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.