Rosternomics
← Trade Database
August 23, 2014

TEXCLE

TEX won this trade +$3.2M surplus TEX won this trade +0.5 WAR
TEXTEX Jon Daniels net +$3.2M net +0.5
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 TEX's 2014 odds 1% → 1% (+0.1 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
CLECLE Mark Shapiro net −$3.2M net -0.5
received +$0.0M+$0.0M ± $10M expected surplus · −$3.2M realized received 0.6 ± 1 expected · -0.5 realized WAR
Playoff odds: this deal moved CLE's 2014 odds 16% → 15% (-0.8 pts) — how trade timing is graded ↗
receives — most valuable first
Chris GimenezC·31y·R/R
−$0.3M−$0.3M± $10M exp surplusrealized −$3.2M 0.6± 1 exp WARrealized -0.5
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 0.7/yr over 0.4 season
Talent
0.34/yr blended
Horizon
3.9 control yrs × 0.44 age decline

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.