Rosternomics
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August 28, 1985

TORTEX

TEX won this trade +$20.0M surplus TOR won this trade +0.3 WAR
TORTOR Pat Gillick net −$20.0M net +0.3
received −$0.8M−$0.8M ± $0M expected surplus · −$18.4M realized received 0.0 ± 0 expected · 0.7 realized WAR
Playoff odds: this deal moved TOR's 1985 odds 70% → 67% (-2.9 pts) — how trade timing is graded ↗
receives — most valuable first
Cliff JohnsonDH·38y·R/R
−$0.8M−$0.8M± $0M exp surplusrealized −$18.4M 0.0± 0 exp WARrealized 0.7
Prior
no pedigree — league baseline → 0.21/yr
Evidence
no MLB track record — leans on pedigree
Talent
0.21/yr blended
Horizon
0.0 control yr
TEXTEX Tom Grieve net +$20.0M net -0.3
received +$4.0M+$4.0M ± $84M expected surplus · +$1.6M realized received 2.6 ± 10 expected · 0.4 realized WAR
Playoff odds: this deal moved TEX's 1985 odds 1% → 1% (+0.1 pts) — how trade timing is graded ↗
receives — most valuable first
Jeff MaysP
+$2.4M+$2.4M± $62M exp surplusrealized +$0.0M 1.3± 8 exp WARrealized 0.0
Prior
#131 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
Matt WilliamsP·26y·R/R
+$1.6M+$1.6M± $54M exp surplusrealized +$1.6M 1.1± 7 exp WARrealized 0.4
Prior
no pedigree — league baseline → 0.21/yr
Evidence
no MLB track record — leans on pedigree
Talent
0.21/yr blended
Horizon
5.5 control yrs × 0.94 age decline
Greg Ferlenda
+$0.0M+$0.0M± $12M exp surplusrealized +$0.0M 0.2± 2 exp WARrealized 0.0
Unidentified minor-league throw-in — valued at the ~0.2 WAR base rate (most produce nothing)

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 →