Rosternomics
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March 14, 2022

ATLOAK

unsettledToo soon to call — players still accruing.
ATLATL Alex Anthopoulos net +$65.6M net +11.5
received +$17.6M+$41.6M ± $54M expected surplus · +$120.0M realized received 20.2 ± 7 expected · 19.5 realized WAR
Playoff odds: this deal moved ATL's 2022 odds 80% → 91% (+11.2 pts) — how trade timing is graded ↗
receives — most valuable first
Matt Olson1B·28y·L/R
+$17.6M+$41.6M± $54M exp surplusrealized +$120.0M 20.2± 7 exp WARrealized 19.5
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 4.1/yr over 2.0 seasons
Talent
2.62/yr blended
Horizon
9.0 control yrs × 0.86 age decline
OAKOAK David Forst net −$65.6M net -11.5
received +$24.8M+$24.0M ± $117M expected surplus · +$54.4M realized received 8.6 ± 15 expected · 8.0 realized WAR
Playoff odds: this deal moved OAK's 2022 odds 0% → 0% (-0.1 pts) — how trade timing is graded ↗
receives — most valuable first
Shea Langeliers#54C·25y·R/R
+$16.8M+$16.8M± $58M exp surplusrealized +$60.0M 4.4± 7 exp WARrealized 8.9
Prior
#9 overall draft pick → 0.80/yr
Evidence
no MLB track record — leans on pedigree
Talent
0.80/yr blended
Horizon
5.5 control yrs
Ryan CusickP·23y·R/R
+$11.2M+$10.4M± $62M exp surplusrealized +$0.0M 3.0± 8 exp WARrealized 0.0
Prior
#24 overall draft pick → 0.50/yr
Evidence
no MLB track record — leans on pedigree
Talent
0.50/yr blended
Horizon
6.0 control yrs
Joey EstesP·21y·R/R
+$1.6M+$1.6M± $58M exp surplusrealized +$0.0M 1.2± 7 exp WARrealized 0.1
Prior
#487 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
Cristian PacheOF·24y·R/R
−$4.8M−$4.8M± $55M exp surplusrealized −$5.6M 0.0± 7 exp WARrealized -1.0
Prior
BA #84 pedigree (2022) → 0.39/yr
Evidence
recent form -4.0/yr over 0.2 season
Talent
-0.11/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 →