Rosternomics
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August 23, 1998

SDPNYY

SDP won this trade +$0.8M surplus SDP won this trade +0.0 WAR
SDPSDP Kevin Towers net +$0.8M net +0.0
received +$16.8M+$12.0M ± $88M expected surplus · +$0.0M realized received 4.0 ± 11 expected · 0.0 realized WAR
receives — most valuable first
Shea MorenzRF·24y·L/R
+$11.2M+$9.6M± $62M exp surplusrealized +$0.0M 2.7± 8 exp WARrealized 0.0
Prior
#27 overall draft pick → 0.45/yr
Evidence
no MLB track record — leans on pedigree
Talent
0.45/yr blended
Horizon
6.0 control yrs
Ray RickenP·25y·R/R
+$5.6M+$2.4M± $62M exp surplusrealized +$0.0M 1.3± 8 exp WARrealized 0.0
Prior
#143 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
NYYNYY Bob Watson net −$0.8M net +0.0
received −$0.8M−$0.8M ± $17M expected surplus · −$0.8M realized received 0.3 ± 2 expected · 0.0 realized WAR
receives — most valuable first
Brad Kaufman
+$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)
Jim BruskeP·34y·R/R
−$0.8M−$0.8M± $12M exp surplusrealized −$0.8M 0.1± 2 exp WARrealized -0.0
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form -0.1/yr over 1.4 season
Talent
0.07/yr blended
Horizon
2.2 control yrs × 0.45 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 →