Rosternomics
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February 10, 2020

LADBOS

LAD won this trade +$110.4M surplus LAD won this trade +22.4 WAR
LADLAD Andrew Friedman net +$110.4M net +22.4
received +$252.0M+$54.4M ± $56M expected surplus · +$147.2M realized received 41.9 ± 7 expected · 29.3 realized WAR
Playoff odds: this deal moved LAD's 2020 odds 98% → 99% (+1.1 pts) — how trade timing is graded ↗
receives — most valuable first
Mookie BettsOF·28y·R/R
+$235.2M+$42.4M± $54M exp surplusrealized +$167.2M 39.7± 7 exp WARrealized 28.3
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 7.0/yr over 2.5 seasons
Talent
4.80/yr blended
Horizon
9.0 control yrs × 0.92 age decline
David PriceP·35y·L/L
+$16.8M+$12.0M± $12M exp surplusrealized −$20.0M 2.2± 2 exp WARrealized 1.0
Prior
league baseline (track record outweighs draft pedigree) → 0.47/yr
Evidence
recent form 3.0/yr over 2.8 seasons
Talent
2.22/yr blended
Horizon
1.0 control yr
BOSBOS Chaim Bloom net −$110.4M net -22.4
received +$73.6M+$73.6M ± $92M expected surplus · +$36.8M realized received 13.4 ± 12 expected · 6.9 realized WAR
Playoff odds: this deal moved BOS's 2020 odds 1% → 1% (-0.6 pts) — how trade timing is graded ↗
receives — most valuable first
Alex VerdugoOF·24y·L/L
+$64.0M+$64.0M± $43M exp surplusrealized +$36.0M 9.8± 5 exp WARrealized 6.0
Prior
league baseline (track record outweighs draft pedigree) → 0.40/yr
Evidence
recent form 2.5/yr over 0.9 season
Talent
1.96/yr blended
Horizon
5.0 control yrs
Jeter Downs#862B/3B/SS·22y·R/R
+$8.0M+$8.0M± $58M exp surplusrealized −$1.6M 2.4± 7 exp WARrealized -0.3
Prior
BA #86 prospect (2020) → 0.43/yr
Evidence
no MLB track record — leans on pedigree
Talent
0.43/yr blended
Horizon
5.5 control yrs
Connor WongC·24y·R/R
+$1.6M+$1.6M± $58M exp surplusrealized +$2.4M 1.2± 7 exp WARrealized 1.2
Prior
#100 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

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 →