Rosternomics
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July 29, 2019

LADSEA

LAD won this trade +$0.0M surplus LAD won this trade +0.2 WAR
LADLAD Andrew Friedman net +$0.0M net +0.2
received +$0.8M+$0.0M ± $6M expected surplus · +$0.0M realized received 0.3 ± 1 expected · 0.2 realized WAR
Playoff odds: this deal moved LAD's 2019 odds 99% → 99% (+0.1 pts) — how trade timing is graded ↗
receives — most valuable first
Kristopher NegrónOF·33y·R/R
+$0.6M−$0.1M± $6M exp surplusrealized +$0.0M 0.3± 1 exp WARrealized 0.2
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 0.5/yr over 0.3 season
Talent
0.28/yr blended
Horizon
1.5 control yr × 0.74 age decline
SEASEA Jerry Dipoto net +$0.0M net -0.2
received −$2.4M−$2.4M ± $13M expected surplus · +$0.0M realized received 0.0 ± 2 expected · 0.0 realized WAR
Playoff odds: this deal moved SEA's 2019 odds 1% → 1% (-0 pts) — how trade timing is graded ↗
receives — most valuable first
Daniel Castro2B/SS·26y·R/R
−$2.2M−$2.2M± $13M exp surplusrealized +$0.0M 0.0± 2 exp WARrealized 0.0
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form -2.6/yr over 0.3 season
Talent
-0.38/yr blended
Horizon
3.0 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.