Rosternomics
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February 7, 2017

WSNTBR

WSN won this trade +$1.6M surplus WSN won this trade +0.4 WAR
WSNWSN Michael Rizzo net +$1.6M net +0.4
received −$0.8M−$0.8M ± $23M expected surplus · +$1.6M realized received 0.6 ± 3 expected · 0.4 realized WAR
Playoff odds: this deal moved WSN's 2017 odds 73% → 75% (+2 pts) — how trade timing is graded ↗
receives — most valuable first
Enny RomeroP·26y·R/L
−$0.6M−$0.6M± $23M exp surplusrealized +$1.6M 0.6± 3 exp WARrealized 0.4
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 0.1/yr over 1.5 season
Talent
0.12/yr blended
Horizon
5.0 control yrs
TBRTBR Erik Neander net −$1.6M net -0.4
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 TBR's 2017 odds 18% → 17% (-1.5 pts) — how trade timing is graded ↗
receives — most valuable first
Jeffrey Rosa
+$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)

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.