Rosternomics
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February 15, 1989

SDPMIL

SDP won this trade +$2.4M surplus SDP won this trade +0.2 WAR
SDPSDP Jack McKeon net +$2.4M net +0.2
received +$1.6M+$1.6M ± $58M expected surplus · −$1.6M realized received 1.2 ± 7 expected · -0.1 realized WAR
Playoff odds: this deal moved SDP's 1989 odds 6% → 6% (-0.2 pts) — how trade timing is graded ↗
receives — most valuable first
Dan MurphyP·25y·R/R
+$1.6M+$1.6M± $58M exp surplusrealized −$1.6M 1.2± 7 exp WARrealized -0.1
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
MILMIL Harry Dalton net −$2.4M net -0.2
received +$1.6M+$1.6M ± $56M expected surplus · −$4.0M realized received 1.3 ± 7 expected · -0.3 realized WAR
Playoff odds: this deal moved MIL's 1989 odds 3% → 3% (+0.1 pts) — how trade timing is graded ↗
receives — most valuable first
Jim AustinP·26y·R/R
+$1.6M+$1.6M± $54M exp surplusrealized −$4.0M 1.1± 7 exp WARrealized -0.3
Prior
#144 overall draft pick — at the 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
Todd Simmons
+$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 →