Rosternomics
← Trade Database
November 9, 2022

ATLTEX

unsettledToo soon to call — players still accruing.
ATLATL Alex Anthopoulos net +$0.0M net +0.2
received −$1.6M−$1.6M ± $14M expected surplus · +$0.0M realized received 0.2 ± 2 expected · 0.2 realized WAR
Playoff odds: this deal moved ATL's 2023 odds 98% → 98% (+0.1 pts) — how trade timing is graded ↗
receives — most valuable first
Kolby AllardP·25y·L/L
−$1.9M−$1.9M± $14M exp surplusrealized +$0.0M 0.2± 2 exp WARrealized 0.2
Prior
#14 overall draft pick → 0.47/yr
Evidence
recent form -0.4/yr over 1.2 season
Talent
0.05/yr blended
Horizon
4.0 control yrs
TEXTEX Jon Daniels net +$0.0M net -0.2
received +$10.4M+$8.0M ± $11M expected surplus · +$0.0M realized received 1.3 ± 1 expected · 0.0 realized WAR
Playoff odds: this deal moved TEX's 2023 odds 85% → 85% (-0.5 pts) — how trade timing is graded ↗
receives — most valuable first
Jake OdorizziP·33y·R/R
+$10.6M+$8.1M± $11M exp surplusrealized +$0.0M 1.3± 1 exp WARrealized 0.0
Prior
league baseline (track record outweighs draft pedigree) → 0.25/yr
Evidence
recent form 1.9/yr over 2.0 seasons
Talent
1.29/yr blended
Horizon
1.0 control yr
Fan verdict — who overpaid?

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.