Rosternomics
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March 28, 1998

STLNYM

STL won this trade +$2.4M surplus STL won this trade +0.7 WAR
STLSTL Walt Jocketty net +$2.4M net +0.7
received −$2.4M−$2.4M ± $26M expected surplus · +$1.6M realized received 0.0 ± 3 expected · 0.8 realized WAR
Playoff odds: this deal moved STL's 1998 odds 38% → 47% (+8.1 pts) — how trade timing is graded ↗
receives — most valuable first
Juan AcevedoP·28y·R/R
−$2.4M−$2.4M± $26M exp surplusrealized +$1.6M 0.0± 3 exp WARrealized 0.8
Prior
#403 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form -0.3/yr over 1.4 season
Talent
-0.07/yr blended
Horizon
3.0 control yrs
NYMNYM Steve Phillips net −$2.4M net -0.7
received +$6.4M+$6.4M ± $31M expected surplus · −$0.8M realized received 2.0 ± 4 expected · 0.1 realized WAR
Playoff odds: this deal moved NYM's 1998 odds 14% → 10% (-3.5 pts) — how trade timing is graded ↗
receives — most valuable first
Rigo BeltránP·29y·L/L
+$6.4M+$6.4M± $31M exp surplusrealized −$0.8M 2.0± 4 exp WARrealized 0.1
Prior
#675 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form 1.0/yr over 1.0 season
Talent
0.57/yr blended
Horizon
5.0 control yrs × 0.69 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 →