Rosternomics
Anirudh Kilambi

Anirudh Kilambi

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Born 1994 · age 32

General manager for the Nationals (2026–present).

Across the full 1-season sample, the measured profile stands out most for cheap-talent surplus (98th percentile), and payroll-adjusted winning (75th percentile). The clearest contrast is drafted-player surplus (6th percentile): drafted players have created less surplus value than for most peers. Because the sample covers fewer than five seasons, those comparisons are descriptive rather than stable.

1 seasons with salary-era data across 1 stint. All figures are franchise-level outcomes during the tenure, not solely attributable to one executive.

0 pennants · 0 playoff appearances · 77–85 (0.475)

Percentile Rankings

vs. execs with toyrs exp.
PoorAverageGreat
Trade Decision Quality
Roster Construction
Depth
6.0
Dead WAR
-8.0
Dead money %
53%
PoorAverageGreat
Talent Creation
Cheap-talent surplus
$69M
Drafted surplus
$0M
Traded-for surplus
$10M
Int'l surplus
$4M
Results & Efficiency
GM WAR
–
TAB
+4.6
WAB
+9.1
$ / WAR
$1.6M
Net WAR/trade
+0.18

Overview

TeamRoleYear Pay
$M
Rel
Pay
Surp
$M
Surp
WAR
Dead
%
Cheap
$M
Draft
$M
Trd
$M
Int'l
$M
$ /
WAR
WAR Depth Dead
WAR
HG Trade Net/
Trd
FA R5 RFA PPA CPA WAB TAB W-L% POPenWS
Nationals GM 2026 77–85 $54 33 +49 +11.6 53% +69 +0 +10 +4 $1.6M 25.5 6.0 -8.0 +0.3 +0.9 +0.18 -1.3 +0.0 +0.01 0.33 0.07 +9.1 +4.6 0.475
Career total (1985+ data) $54 33 +49 +11.6 53% +69 +0 +10 +4 $1.6M 25.5 6.0 -8.0 +0.3 +0.9 +0.18 -1.3 +0.0 +0.01 0.33 0.07 +9.1 +4.6 0.475 –– –

Roster Construction

How the roster was sourced

Share of acquired fWAR by channel vs. league average.

Build channels — net fWAR

Acquired minus surrendered / signed minus walked.

Home-grown (draft/intl)+0.3
Trade+0.9
Free agency-1.3
Rule 5 / minor draft+0.0
Sourcing mix: 34% draft · 0% FA · 66% trade · 0% R5

Trades

Trades made — 0 deals credited to Anirudh Kilambi, best expected value first; surplus is realized value in $M

No graded trades on record for this executive.

Players acquired — 15 players, by realized fWAR for the franchise (scroll for more)

PlayerPosTeam How Year Szns fWAR WAR/yr RFA PPA CPA
Foster Griffin P WSN Trade 2026 1 +1.9 +1.9 – 0.6% 0.14%
Curtis Mead 1B/3B WSN Trade 2026 1 +1.5 +1.5 +0.01 0.5% 0.11%
Jorbit Vivas 2B/3B WSN Trade 2026 1 +0.9 +0.9 +0.01 0.3% 0.06%
Joey Wiemer OF WSN Trade 2026 1 +0.7 +0.7 – 0.2% 0.05%
Harry Ford C WSN Trade 2026 1 +0.4 +0.4 +0.25 0.1% 0.03%
Riley Cornelio P WSN Draft 2026 1 +0.3 +0.3 – – –
Carson Palmquist P WSN Trade 2026 1 +0.2 +0.2 – 0.1% 0.01%
Matt Waldron P WSN Trade 2026 1 +0.1 +0.1 – 0.0% 0.01%
Paxton Schultz P WSN Trade 2026 1 +0.1 +0.1 – 0.0% 0.01%
Zak Kent P WSN Trade 2026 1 +0.1 +0.1 – 0.0% 0.01%
Connelly Early P WSN Trade 2026 1 +0.1 +0.1 +0.01 0.0% 0.01%
Jake Bird P WSN Trade 2026 1 +0.0 +0.0 +0.01 0.0% 0.00%
Andre Granillo P WSN Trade 2026 – -0.2 – +0.00 – –
Max Kranick P WSN Free agency 2026 – -0.4 – – – –
Miles Mikolas P WSN Free agency 2026 – -0.9 – – – –

Trade-side columns: RFA is playoff-readiness percentage points added to the future roster foundation. It grades the franchise's entire side of a trade, so the same score repeats for every player acquired in that package. PPA/CPA remain player-level arrival-year probability points.

WAB = wins above what the team's payroll predicted (resource-controlled). WAR surplus = era-neutral value (WAR minus payroll in win-equivalents). Roster surplus $M = dollar value of WAR over cost. Build channels (realized fWAR): HG = home-grown via amateur draft / international signing; Trade = acquired minus surrendered (incl. purchases/waivers); FA = signed minus walked; R5 = Rule-5 / minor-league-draft pickups. Credit follows the acquisition year — home-grown to the regime at the player's draft/signing (not whoever was in the chair when he peaked), trade/FA/R5 to the GM who made the move. Players acquired as prospects before debuting (e.g. Smoltz, Bagwell; Rule-5 picks like Uggla) are counted as trade/R5, not home-grown. All are franchise-level outcomes during the stint, not solely attributable to one executive.

Graphs

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