Rosternomics
← Exit to Trade Database
February 10, 2026

NYMCHW

unsettledToo soon to call — players still accruing.
🗳 Trade VotingRate every deal of the season — biggest first. Your verdict vs. the model.
80 / 207table view →skip →
Fan verdict — who overpaid?
NYMNYM David Stearns net +$0.0M net +0.0
received +$2.4M+$2.4M ± $10M expected surplus · +$0.0M realized received 1.1 ± 1 expected · 0.0 realized WAR
receives — most valuable first
Bryan HudsonP·29y·L/L
+$2.7M+$2.7M± $10M exp surplusrealized +$0.0M 1.1± 1 exp WARrealized 0.0
Prior
#82 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form 0.3/yr over 1.3 season
Talent
0.69/yr blended
Horizon
5.0 control yrs × 0.30 age decline
CHWCHW Chris Getz net +$0.0M net +0.0
received +$0.0M+$0.0M ± $0M expected surplus · +$0.0M realized received 0.0 ± 0 expected · 0.0 realized WAR
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.