Rosternomics
← Trade Database
July 15, 2019

KCRCHC

KCR won this trade +$2.4M surplus KCR won this trade +0.5 WAR
KCRKCR Dayton Moore net +$2.4M net +0.5
received +$16.0M+$16.0M ± $22M expected surplus · +$0.0M realized received 2.5 ± 3 expected · 0.3 realized WAR
Playoff odds: this deal moved KCR's 2019 odds 0% → 0% (+0 pts) — how trade timing is graded ↗
receives — most valuable first
Mike MontgomeryP·29y·L/L
+$16.4M+$16.4M± $22M exp surplusrealized +$0.0M 2.5± 3 exp WARrealized 0.3
Prior
league baseline (track record outweighs draft pedigree) → 0.24/yr
Evidence
recent form 1.2/yr over 2.2 seasons
Talent
0.88/yr blended
Horizon
3.0 control yrs × 0.95 age decline
CHCCHC Theo Epstein net −$2.4M net -0.5
received +$8.8M+$8.8M ± $11M expected surplus · −$2.4M realized received 1.7 ± 1 expected · -0.2 realized WAR
Playoff odds: this deal moved CHC's 2019 odds 54% → 51% (-3.1 pts) — how trade timing is graded ↗
receives — most valuable first
Martín MaldonadoC·32y·R/R
+$9.0M+$9.0M± $11M exp surplusrealized −$2.4M 1.7± 1 exp WARrealized -0.2
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 2.6/yr over 2.1 seasons
Talent
1.72/yr blended
Horizon
1.0 control yr

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.