Rosternomics
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July 9, 2024

NYMTBR

unsettledToo soon to call — players still accruing.
NYMNYM David Stearns net +$0.0M net +0.7
received −$1.6M−$1.6M ± $12M expected surplus · +$0.0M realized received 0.3 ± 2 expected · 0.7 realized WAR
Playoff odds: this deal moved NYM's 2024 odds 35% → 38% (+3.6 pts) — how trade timing is graded ↗
receives — most valuable first
Phil MatonP·31y·R/R
−$1.6M−$1.6M± $12M exp surplusrealized +$0.0M 0.3± 2 exp WARrealized 0.7
Prior
league baseline (track record outweighs draft pedigree) → 0.21/yr
Evidence
recent form 0.4/yr over 2.7 seasons
Talent
0.33/yr blended
Horizon
1.0 control yr
TBRTBR Erik Neander net +$0.0M net -0.7
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 2024 odds 6% → 5% (-0.8 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

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 →