Rosternomics
← Trade Database
July 26, 2018

TBRATL

TBR won this trade +$1.6M surplus TBR won this trade +0.2 WAR
TBRTBR Erik Neander net +$1.6M net +0.2
received +$0.0M+$0.0M ± $0M expected surplus · +$0.0M realized received 0.0 ± 0 expected · 0.0 realized WAR
Playoff odds: this deal moved TBR's 2018 odds 62% → 60% (-1.4 pts) — how trade timing is graded ↗
receives — most valuable first
cash / PTBNL
+$0.0M+$0.0M± $0M exp surplusrealized +$0.0M 0.0± 0 exp WARrealized 0.0
Cash or player to be named — no projection
ATLATL Alex Anthopoulos net −$1.6M net -0.2
received +$0.8M+$0.8M ± $6M expected surplus · −$1.6M realized received 0.3 ± 1 expected · -0.2 realized WAR
Playoff odds: this deal moved ATL's 2018 odds 40% → 41% (+1.4 pts) — how trade timing is graded ↗
receives — most valuable first
Jonny VentersP·33y·L/L
+$0.9M+$0.9M± $6M exp surplusrealized −$1.6M 0.3± 1 exp WARrealized -0.2
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 0.6/yr over 0.2 season
Talent
0.27/yr blended
Horizon
1.0 control yr

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 (composite top-100 rank / draft slot, or a baseline) with his recent track record, projected over the years of team control acquired. The ± figure is a historically calibrated predictive standard deviation, measuring how widely comparable forecasts have missed around their expected value. 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.