Rosternomics
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March 28, 2017

BALPHI

BAL won this trade +$0.8M surplus BAL won this trade +0.2 WAR
BALBAL Dan Duquette net +$0.8M net +0.2
received +$6.4M+$6.4M ± $18M expected surplus · +$0.8M realized received 2.1 ± 2 expected · 0.2 realized WAR
Playoff odds: this deal moved BAL's 2017 odds 1% → 1% (+0 pts) — how trade timing is graded ↗
receives — most valuable first
Alec AsherP·25y·R/R
+$6.6M+$6.6M± $18M exp surplusrealized +$0.8M 2.1± 2 exp WARrealized 0.2
Prior
#156 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form 1.1/yr over 0.3 season
Talent
0.39/yr blended
Horizon
5.5 control yrs
PHIPHI Matt Klentak net −$0.8M 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 PHI's 2017 odds 2% → 2% (-0.1 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

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.