Rosternomics
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March 16, 2022

TOROAK

unsettledToo soon to call — players still accruing.
TORTOR Ross Atkins net +$55.2M net +8.3
received +$46.4M+$46.4M ± $19M expected surplus · +$45.6M realized received 5.8 ± 2 expected · 6.8 realized WAR
Playoff odds: this deal moved TOR's 2022 odds 66% → 85% (+18.7 pts) — how trade timing is graded ↗
receives — most valuable first
Matt Chapman3B·29y·R/R
+$46.4M+$46.4M± $19M exp surplusrealized +$45.6M 5.8± 2 exp WARrealized 6.8
Prior
league baseline (track record outweighs draft pedigree) → 0.25/yr
Evidence
recent form 4.5/yr over 1.9 season
Talent
2.91/yr blended
Horizon
2.0 control yrs
OAKOAK David Forst net −$55.2M net -8.3
received +$8.0M+$8.0M ± $102M expected surplus · −$9.6M realized received 5.0 ± 13 expected · -1.5 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
Gunnar HoglundP·23y·L/R
+$11.2M+$11.2M± $58M exp surplusrealized −$2.4M 3.1± 7 exp WARrealized -0.4
Prior
#19 overall draft pick → 0.57/yr
Evidence
no MLB track record — leans on pedigree
Talent
0.57/yr blended
Horizon
5.5 control yrs
Zach LogueP·26y·L/L
+$1.6M+$1.6M± $54M exp surplusrealized −$2.4M 1.1± 7 exp WARrealized -0.4
Prior
#279 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 × 0.94 age decline
Kirby SneadP·28y·L/L
+$0.0M+$0.0M± $34M exp surplusrealized −$2.4M 0.8± 4 exp WARrealized -0.3
Prior
#312 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form 0.3/yr over 0.5 season
Talent
0.23/yr blended
Horizon
5.5 control yrs × 0.62 age decline
Kevin Smith3B/SS·26y·R/R
−$4.8M−$4.8M± $56M exp surplusrealized −$2.4M 0.0± 7 exp WARrealized -0.4
Prior
#129 overall draft pick — at the league baseline → 0.21/yr
Evidence
recent form -2.5/yr over 0.1 season
Talent
-0.04/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 →