Rosternomics
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August 14, 1996

SEAATL

SEA won this trade +$8.8M surplus SEA won this trade +1.6 WAR
SEASEA Woody Woodward net +$8.8M net +1.6
received +$8.0M+$3.2M ± $15M expected surplus · +$8.8M realized received 2.2 ± 2 expected · 1.6 realized WAR
Playoff odds: this deal moved SEA's 1996 odds 77% → 82% (+5.9 pts) — how trade timing is graded ↗
receives — most valuable first
Mark WhitenOF·30y·B/R
+$8.0M+$3.2M± $15M exp surplusrealized +$8.8M 2.2± 2 exp WARrealized 1.6
Prior
no pedigree — league baseline → 0.21/yr
Evidence
recent form 2.3/yr over 1.9 season
Talent
1.49/yr blended
Horizon
1.5 control yr × 0.98 age decline
ATLATL John Schuerholz net −$8.8M net -1.6
received +$0.0M+$0.0M ± $12M expected surplus · +$0.0M realized received 0.2 ± 2 expected · 0.0 realized WAR
Playoff odds: this deal moved ATL's 1996 odds 97% → 95% (-1.3 pts) — how trade timing is graded ↗
receives — most valuable first
Roger Blanco
+$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 →