David Rodriguez

P Rome Emperors
Age 25 RHP 6'2" / 196 lbs A+ peak 0.1 · 2027
Overview
A+PROSPECT
ETA2028MLB%0%
YearAgeLvl / TeamGGSIPERAFIPK%BB%WARMLE rates
202422MIX2 levels168595.193.5719.2%9.6%—K 13.5% · BB 11.7% · FIP 4.50
202523MIX2 levels254692.753.1920.4%6.3%—K 15.2% · BB 7.4% · FIP 3.89
202624A+ATL310563.382.9224.7%5.6%—K 19.0% · BB 6.5% · FIP 3.80
2027PROJ25MLBATL——04.764.7616.1%8.4%—
2028PROJ43% MLB26MLBATL220234.694.6717.3%8.4%-0.0
2029PROJ63% MLB27MLBATL290304.684.6917.7%8.5%-0.0
Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.
Contract
No contract data on file.
Scouting grades · 20-80
Stuff35Control50Command40
Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%
CompsConor Steinbaugh (age 25) · Ross Ohlendorf (age 25) · Trevor Foss (age 25)
2027 FULL-SEASON PROJECTIONrates below = full-season projection
showingPROJ
wRC+ AGAINSTvL 124115vR 107
ERA4.76
FIP4.76
K%16.1%
BB%8.4%
K-BB%7.8%
Proj IP70
Value2027 · WAR
Runs saved vs league avg · 70 IP
K: -3.1 runs (Runs saved by strikeouts vs lg-avg K%)-3KBB: +0.2 runs (Runs saved by walk suppression vs lg-avg BB%)+0BBCONTACT: -1.6 runs (Runs saved on contact quality (HR suppression) vs lg)-2CONTACTSTAM: +4.5 runs (Replacement credit for innings volume)+5STAMTotal WAR: +0.00 (70 IP)+0.0WAR
-0.20.00.0272829
Grades · Contract
Scouting Grades
STUF3535
CTRL5050
CMD4040
K†4040

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

YearAge LvlTeam GGSIPBF KBBHR GS%IP/G K%BB%K-BB%HR% ERAFIP WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
202422MIX MLE2 levels168592504824450%3.713.5%11.7%1.8%1.9%5.194.50—
202422MIX MLE2 levels168592504824450%3.713.5%11.7%1.8%1.9%5.194.50—
202422MIX RAW2 levels168592504824450%3.719.2%9.6%9.6%1.6%5.193.57—
202523MIX MLE2 levels254692705517516%2.715.2%7.4%7.8%2.1%2.753.89—
202523MIX MLE2 levels254692705517516%2.715.2%7.4%7.8%2.1%2.753.89—
202523MIX RAW2 levels254692705517516%2.720.4%6.3%14.1%1.9%2.753.19—
202624A+ MLERome Emperors31056231571350%1.819.0%6.5%12.5%2.7%3.383.80—
202624A+ MLERome Emperors31056231571350%1.819.0%6.5%12.5%2.7%3.383.80—
202624A+ RAWRome Emperors31056231571350%1.824.7%5.6%19.0%2.2%3.382.92—
▸ 2027 season — projected remainder (no 2027 stats recorded)
202725MLBATL——0——————16.1%8.4%7.8%2.9%4.764.76—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
202826MLB MLEATL51054227391970%1.117.3%8.4%8.9%2.9%4.694.67-0.1
202927MLB MLEATL45047198351760%1.017.7%8.5%9.2%2.9%4.684.69-0.1
203028MLB MLEATL41043182331660%1.117.9%8.7%9.2%3.1%4.714.75-0.1
203129MLB MLEATL38040168301550%1.017.8%9.0%8.8%3.2%4.804.87-0.1
202826MLB CTXATL220239717830%1.017.3%8.4%8.9%2.9%4.694.67-0.0
202927MLB CTXATL29030127221140%1.017.7%8.5%9.2%2.9%4.684.69-0.0
203028MLB CTXATL30032135241240%1.117.9%8.7%9.2%3.1%4.714.75-0.1
203129MLB CTXATL30032135241240%1.117.8%9.0%8.8%3.2%4.804.87-0.1
▸ Career totals — MLB only (actual + projected)
Career— RAW11201184968843150%1.017.7%8.7%9.0%3.0%4.724.37+0.2
/ 200 IP— RAW190020084415073260%1.117.7%8.7%9.0%3.0%4.724.37+0.4
Career— MLE7212184751119641717%2.615.8%8.6%7.3%2.2%3.724.06-0.4
/ 200 IP— MLE7813200818129701817%2.615.8%8.6%7.3%2.2%3.724.06-0.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 A+Rome Emperors · 56 IPFIP 2.92 → 3.80 (+0.88)K% 24.7% → 19.0%
ComponentRawPark ÷Level factor ×= MLE
K% /BF24.68%—×0.77019.00%
BB% (unintentional) /BF5.63%—×1.1506.47%
HR / BF /BF2.16%÷1.000×1.2502.71%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 2.92 → 3.80, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAugusta GreenJackets · 50 IPFIP 3.32 → 3.97 (+0.66)K% 21.6% → 16.0%
ComponentRawPark ÷Level factor ×= MLE
K% /BF21.65%—×0.74016.02%
BB% (unintentional) /BF7.22%—×1.1808.52%
HR / BF /BF2.06%÷1.281×1.3002.09%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 156).

Result: FIP 3.32 → 3.97, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 A+Rome Emperors · 19 IPFIP 2.88 → 3.66 (+0.79)K% 17.1% → 13.2%
ComponentRawPark ÷Level factor ×= MLE
K% /BF17.11%—×0.77013.17%
BB% (unintentional) /BF3.95%—×1.1504.54%
HR / BF /BF1.32%÷0.819×1.2502.01%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 64).

Result: FIP 2.88 → 3.66, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ROKFCL Braves · 34 IPFIP 3.49 → 4.45 (+0.97)K% 20.4% → 13.9%
ComponentRawPark ÷Level factor ×= MLE
K% /BF20.42%—×0.68013.89%
BB% (unintentional) /BF10.56%—×1.25013.20%
HR / BF /BF1.41%÷1.266×1.4001.56%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 153).

Result: FIP 3.49 → 4.45, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAugusta GreenJackets · 25 IPFIP 3.69 → 4.55 (+0.87)K% 17.6% → 13.0%
ComponentRawPark ÷Level factor ×= MLE
K% /BF17.59%—×0.74013.02%
BB% (unintentional) /BF8.33%—×1.1809.83%
HR / BF /BF1.85%÷1.010×1.3002.38%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 102).

Result: FIP 3.69 → 4.55, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player162sIP/yrK%BB%HR/9ERA
OGILVIE CAREER PROJECTION1.35117.2%8.6%1.154.73
J. C. Gutierrez ('07-'14, -0 WAR*)1.45719.8%*8.5%*1.19*4.72*
Vic Darensbourg ('05)1.55017.0%9.3%1.014.96
Tyler Walker ('10)1.55018.9%8.5%1.114.23
Bob Macdonald ('90-'96, 1 WAR*)1.25918.3%*9.8%*1.20*4.32*
Kevin Hickey ('81-'91, 0 WAR*)1.24717.7%*10.2%*1.10*4.27*
Dave Leiper ('84-'96, 0 WAR*)1.44615.6%*9.1%*0.94*4.28*