Rosternomics
← Trade Database
March 31, 2025

NYMPIT

unsettledToo soon to call — players still accruing.
NYMNYM David Stearns net +$3.2M net +0.5
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 NYM's 2025 odds 67% → 69% (+2.5 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
PITPIT Ben Cherington net −$3.2M net -0.5
received +$9.6M+$9.6M ± $20M expected surplus · −$3.2M realized received 2.1 ± 2 expected · -0.5 realized WAR
Playoff odds: this deal moved PIT's 2025 odds 2% → 2% (-0.3 pts) — how trade timing is graded ↗
receives — most valuable first
Alexander CanarioOF·25y·R/R
+$9.4M+$9.4M± $20M exp surplusrealized −$3.2M 2.1± 2 exp WARrealized -0.5
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 2.0/yr over 0.1 season
Talent
0.38/yr blended
Horizon
5.5 control yrs
Fan verdict — who overpaid?

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.