Rosternomics
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July 26, 2019

SFGCHC

SFG won this trade +$6.4M surplus SFG won this trade +0.2 WAR
SFGSFG Farhan Zaidi net +$6.4M net +0.2
received +$0.0M+$0.0M ± $0M expected surplus · +$0.0M realized received 0.0 ± 0 expected · 0.0 realized WAR
Playoff odds: this deal moved SFG's 2019 odds 0% → 0% (+0 pts) — how trade timing is graded ↗
receives — most valuable first
cash / PTBNL
+$0.0M+$0.0M± $0M exp surplusrealized +$0.0M 0.0± 0 exp WARrealized 0.0
Cash or player to be named — no projection
CHCCHC Theo Epstein net −$6.4M net -0.2
received +$5.6M+$4.8M ± $14M expected surplus · −$6.4M realized received 1.3 ± 2 expected · -0.2 realized WAR
Playoff odds: this deal moved CHC's 2019 odds 52% → 51% (-1.1 pts) — how trade timing is graded ↗
receives — most valuable first
Derek HollandP·32y·B/L
+$5.3M+$5.0M± $14M exp surplusrealized −$6.4M 1.3± 2 exp WARrealized -0.2
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 1.3/yr over 2.3 seasons
Talent
0.92/yr blended
Horizon
1.5 control yr × 0.94 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.