Rosternomics
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August 1, 2016

TBRSFG

TBR won this trade +$14.4M surplus TBR won this trade +0.9 WAR
TBRTBR Matt Silverman net +$14.4M net +0.9
received +$136.8M+$136.8M ± $72M expected surplus · +$9.6M realized received 16.5 ± 9 expected · 2.6 realized WAR
Playoff odds: this deal moved TBR's 2016 odds 5% → 4% (-0.7 pts) — how trade timing is graded ↗
receives — most valuable first
Matt Duffy3B·25y·R/R
+$135.2M+$135.2M± $42M exp surplusrealized +$9.6M 15.1± 5 exp WARrealized 2.6
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 3.9/yr over 1.1 season
Talent
3.02/yr blended
Horizon
5.0 control yrs
Lucius Fox3B/SS·19y·B/R
+$1.6M+$1.6M± $58M exp surplusrealized +$0.0M 1.2± 7 exp WARrealized 0.0
Prior
no pedigree — league baseline → 0.21/yr
Evidence
no MLB track record — leans on pedigree
Talent
0.21/yr blended
Horizon
5.5 control yrs
Michael Santos
+$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)
SFGSFG Bobby Evans net −$14.4M net -0.9
received +$4.8M+$4.8M ± $19M expected surplus · −$4.8M realized received 1.4 ± 2 expected · 1.7 realized WAR
Playoff odds: this deal moved SFG's 2016 odds 27% → 30% (+3.2 pts) — how trade timing is graded ↗
receives — most valuable first
Matt MooreP·27y·L/L
+$4.8M+$4.8M± $19M exp surplusrealized −$4.8M 1.4± 2 exp WARrealized 1.7
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 1.0/yr over 1.6 season
Talent
0.68/yr blended
Horizon
2.0 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 →