Rosternomics
← Trade Database
August 31, 2016

PITBAL

PIT won this trade +$0.0M surplus PIT won this trade +0.0 WAR
PITPIT Neal Huntington net +$0.0M net +0.0
received −$2.4M−$2.4M ± $14M expected surplus · +$0.0M realized received 0.3 ± 2 expected · 0.0 realized WAR
receives — most valuable first
Zach PhillipsP·29y·L/L
−$2.2M−$2.2M± $14M exp surplusrealized +$0.0M 0.3± 2 exp WARrealized 0.0
Prior
#681 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form -0.2/yr over 0.2 season
Talent
0.16/yr blended
Horizon
5.0 control yrs × 0.43 age decline
BALBAL Dan Duquette net +$0.0M net +0.0
received +$11.2M+$11.2M ± $28M expected surplus · +$0.0M realized received 3.0 ± 4 expected · 0.0 realized WAR
receives — most valuable first
Kyle LobsteinP·26y·L/L
+$11.0M+$11.0M± $28M exp surplusrealized +$0.0M 3.0± 4 exp WARrealized 0.0
Prior
#47 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form 1.4/yr over 0.6 season
Talent
0.61/yr blended
Horizon
5.0 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.