RRosternomics
← Exit to Trade Database
July 11, 2026

PITCHW

unsettledToo soon to call — players still accruing.
🗳 Trade VotingRate every deal of the season — biggest first. Your verdict vs. the model.
10 / 143skip →
Fan verdict — who overpaid?
PITPIT Ben Cherington net +$0.0M net +0.1
received +$9.6M+$9.6M ± $61M expected surplus · +$0.0M realized received 3.9 ± 8 expected · 0.1 realized WAR
Playoff odds: this deal moved PIT's 2026 odds 26.6% → 26.8% (+0.2 pts) — how trade timing is graded ↗
receives — most valuable first
Jacob GonzalezSS·24y·L/R
+$9.7M+$9.7M± $56M exp surplusrealized +$0.0M 3.3± 7 exp WARrealized 0.0
Prior
#15 overall draft pick → 0.63/yr
Evidence
no MLB track record — leans on pedigree
Talent
0.63/yr blended
Horizon
6.0 control yrs × 0.89 age decline
Brandon EisertP·28y·L/L
−$0.2M−$0.2M± $23M exp surplusrealized +$0.0M 0.6± 3 exp WARrealized 0.1
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 0.1/yr over 1.1 season
Talent
0.26/yr blended
Horizon
5.0 control yrs × 0.48 age decline
CHWCHW Chris Getz net +$0.0M net -0.1
received +$1.6M+$1.6M ± $56M expected surplus · +$0.0M realized received 1.1 ± 7 expected · 0.0 realized WAR
Playoff odds: this deal moved CHW's 2026 odds 29.8% → 29.5% (-0.3 pts) — how trade timing is graded ↗
receives — most valuable first
Jaden WoodsP·24y·L/L
+$1.8M+$1.8M± $56M exp surplusrealized +$0.0M 1.1± 7 exp WARrealized 0.0
Prior
#197 overall draft pick — at the league baseline → 0.21/yr
Evidence
no MLB track record — leans on pedigree
Talent
0.21/yr blended
Horizon
6.0 control yrs × 0.89 age decline

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 (Baseball America rank / draft slot, or a baseline) with his recent track record, projected over the years of team control acquired. The ± band is the uncertainty — wide for unproven prospects, tight for established veterans. 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.

Historically these expected values are unbiased and land within ±2 WAR of reality 75% of the time — yet the side the model favors actually comes out ahead only 53% of the time. The grade is a calibrated bet, not a prediction. Why trades are an efficient market →