Rosternomics
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August 31, 1998

SDPCOL

SDP won this trade +$1.6M surplus SDP won this trade +1.5 WAR
SDPSDP Kevin Towers net +$1.6M net +1.5
received −$5.6M−$5.6M ± $12M expected surplus · +$1.6M realized received 0.0 ± 2 expected · 1.5 realized WAR
Playoff odds: this deal moved SDP's 1998 odds 32% → 33% (+1 pts) — how trade timing is graded ↗
receives — most valuable first
John Vander WalOF·32y·L/L
−$5.6M−$5.6M± $12M exp surplusrealized +$1.6M 0.0± 2 exp WARrealized 1.5
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form -0.1/yr over 1.6 season
Talent
0.00/yr blended
Horizon
1.5 control yr × 0.67 age decline
COLCOL Bob Gebhard net −$1.6M net -1.5
received +$3.2M+$2.4M ± $62M expected surplus · +$0.0M realized received 1.3 ± 8 expected · 0.0 realized WAR
Playoff odds: this deal moved COL's 1998 odds 6% → 6% (-0.3 pts) — how trade timing is graded ↗
receives — most valuable first
Kevin Burford1B·21y·L/L
+$3.2M+$2.4M± $62M exp surplusrealized +$0.0M 1.3± 8 exp WARrealized 0.0
Prior
#166 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

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 →