Rosternomics
← Trade Database
July 31, 2019

PHIPIT

PIT won this trade +$2.4M surplus PHI won this trade +0.4 WAR
PHIPHI Matt Klentak net −$2.4M net +0.4
received +$11.2M+$11.2M ± $11M expected surplus · −$2.4M realized received 1.6 ± 1 expected · 0.4 realized WAR
Playoff odds: this deal moved PHI's 2019 odds 3% → 3% (+0.3 pts) — how trade timing is graded ↗
receives — most valuable first
Corey DickersonOF·30y·L/R
+$11.6M+$11.6M± $11M exp surplusrealized −$2.4M 1.6± 1 exp WARrealized 0.4
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 2.4/yr over 2.3 seasons
Talent
1.65/yr blended
Horizon
1.0 control yr
PITPIT Neal Huntington net +$2.4M net -0.4
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 PIT's 2019 odds 1% → 1% (-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.