Rosternomics
← Trade Database
July 31, 2014

WSNCLE

WSN won this trade +$2.4M surplus WSN won this trade +3.6 WAR
WSNWSN Michael Rizzo net +$2.4M net +3.6
received −$3.2M−$3.2M ± $11M expected surplus · −$1.6M realized received 1.6 ± 1 expected · 2.9 realized WAR
Playoff odds: this deal moved WSN's 2014 odds 85% → 89% (+3.4 pts) — how trade timing is graded ↗
receives — most valuable first
Asdrúbal CabreraSS·28y·B/R
−$3.5M−$3.5M± $11M exp surplusrealized −$1.6M 1.6± 1 exp WARrealized 2.9
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 2.3/yr over 2.4 seasons
Talent
1.60/yr blended
Horizon
1.0 control yr
CLECLE Mark Shapiro net −$2.4M net -3.6
received +$4.0M+$4.0M ± $19M expected surplus · −$4.0M realized received 1.9 ± 2 expected · -0.7 realized WAR
Playoff odds: this deal moved CLE's 2014 odds 20% → 15% (-4.3 pts) — how trade timing is graded ↗
receives — most valuable first
Zach WaltersDH/OF·24y·B/R
+$4.3M+$4.3M± $19M exp surplusrealized −$4.0M 1.9± 2 exp WARrealized -0.7
Prior
#271 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form 3.2/yr over 0.1 season
Talent
0.34/yr blended
Horizon
5.5 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.