Carlos Lara

P DSL Rangers Blue

Age 19 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	18	ROKDSL Rangers B…	9	8	26	5.47	4.81	22.9%	16.8%	—	K 15.6% · BB 21.0% · FIP 6.20
2027PROJ	19	MLBTEX	3	3	16	5.64	5.64	20.7%	17.8%	-0.1
2028PROJ49% MLB	20	MLBTEX	2	2	12	5.34	5.22	21.4%	15.3%	-0.0

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsBiembenido Brito (age 19) · Marlon Nieves (age 19) · Tyrone Yulie (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 140132vR 124

ERA5.64

FIP5.64

K%20.7%

BB%17.8%

K-BB%2.9%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 IP

Grades · Contract

Scouting Grades

K†5050

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.

show model inputsbasis 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 industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	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)
2026	18	ROK MLE	DSL Rangers Blue	9	8	26	131	30	22	3	89%	2.9	15.6%	21.0%	-5.4%	3.2%	5.47	6.20	—
2026	18	ROK MLE	DSL Rangers Blue	9	8	26	131	30	22	3	89%	2.9	15.6%	21.0%	-5.4%	3.2%	5.47	6.20	—
2026	18	ROK RAW	DSL Rangers Blue	9	8	26	131	30	22	3	89%	2.9	22.9%	16.8%	6.1%	2.3%	5.47	4.81	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	TEX	3	3	16	68	14	12	2	100%	5.3	20.7%	17.8%	2.9%	3.0%	5.64	5.64	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	TEX	5	5	25	105	22	16	3	100%	5.0	21.4%	15.3%	6.1%	2.9%	5.34	5.22	-0.1
2028	20	MLB CTX	TEX	2	2	12	51	11	8	1	100%	6.0	21.4%	15.3%	6.1%	2.9%	5.34	5.22	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		3	3	12	52	11	8	2	100%	4.1	21.4%	15.3%	6.1%	2.9%	5.34	4.85	+0.0
/ 200 IP	—	RAW		43	43	200	844	180	131	33	100%	4.6	21.4%	15.3%	6.1%	2.9%	5.34	4.85	+0.1
Career	—	MLE		9	8	26	131	20	28	4	89%	2.9	15.6%	21.0%	-5.4%	3.2%	5.47	6.20	-0.1
/ 200 IP	—	MLE		68	61	200	995	155	209	32	89%	2.9	15.6%	21.0%	-5.4%	3.2%	5.47	6.20	-0.7

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Carlos Lara (OGILVIE)	—	—	5.64	20.7%	17.8%	3.0%	—	5.22	21.4%	6.1%	25	-0.42	—	—	—
Biembenido Brito R 2022 · 4.64 FIP	19	SP	4.64	24.7%	18.5%	2.3%	.301	5.37	18.7%	-1.3%	91	+0.73	3.58	130	84
Marlon Nieves R 2024 · 5.63 FIP	19	SP	5.63	17.9%	20.0%	2.8%	.300	4.19	18.6%	1.2%	134	-1.44	3.82	187	83
Tyrone Yulie R 2021 · 6.80 FIP	19	SP	6.80	19.7%	22.1%	4.7%	.324	5.30	18.1%	2.7%	166	-1.50	4.87	265	83
Daniel Corniel R 2023 · 5.15 FIP	19	SP-	5.15	20.3%	17.1%	2.9%	.364	4.37	15.7%	3.2%	140	-0.78	3.50	218	83
Justin Lange R 2021 · 4.55 FIP	19	SP	4.55	19.3%	18.4%	1.4%	.298	4.81	23.4%	3.7%	122	+0.26	4.55	144	82
Jharold Clemente R 2023 · 4.97 FIP	20	SP	4.97	17.5%	13.6%	3.0%	.258	5.11	13.3%	4.3%	92	+0.14	4.09	116	82
Edgar Isea R 2022 · 5.51 FIP	19	SP-	5.51	19.3%	20.3%	2.7%	.371	5.19	21.4%	-4.1%	98	-0.32	4.50	162	81
Eddy Peralta R 2023 · 4.65 FIP	20	SP-	4.65	22.0%	19.8%	1.6%	.342	3.96	21.0%	1.7%	86	-0.69	3.73	117	81
Yerlin Rodriguez R 2021 · 5.73 FIP	19	SP-	5.73	20.0%	23.6%	2.4%	.378	4.63	19.9%	0.7%	112	-1.10	3.84	244	81
Lisandro Almonte R 2021 · 4.89 FIP	19	SP-	4.89	16.3%	16.4%	2.0%	.298	4.93	19.6%	4.9%	78	+0.04	3.81	128	81
Chen-Wei Lin R 2023 · 6.48 FIP	21	SP	6.48	21.3%	22.0%	4.4%	.379	3.81	20.5%	8.4%	257	-2.67	3.05	269	80
Jose Pena Jr. R 2022 · 5.48 FIP	19	SP-	5.48	15.0%	18.7%	2.3%	.269	4.62	19.2%	3.1%	124	-0.86	3.48	176	80
Tanner McDougal R 2023 · 4.96 FIP	20	SP	4.96	19.7%	16.9%	2.5%	.285	4.81	21.3%	8.0%	253	-0.15	3.82	323	80
Jefferson Jean R 2024 · 6.45 FIP	19	SP-	6.45	18.3%	21.5%	4.0%	.311	4.79	16.9%	-0.3%	87	-1.66	4.79	132	80
Marco Jimenez R 2022 · 5.27 FIP	22	SP-	5.27	19.6%	17.7%	2.9%	.372	3.89	18.3%	6.7%	148	-1.38	3.36	183	79
Jeferson Figueroa R 2021 · 5.24 FIP	20	SP	5.24	17.1%	15.6%	2.9%	.232	5.02	20.6%	5.4%	188	-0.22	4.77	249	79
Junior Mieses R 2019 · 4.87 FIP	19	SP-	4.87	19.9%	19.2%	1.9%	.296	6.10	18.9%	-1.2%	134	+1.23	4.87	236	79
Adam Bates R 2024 · 5.12 FIP	18	SP-	5.12	16.2%	14.1%	2.9%	.358	6.39	13.0%	-7.2%	146	+1.27	5.12	183	79
Anderson Munoz R 2018 · 5.90 FIP	19	SP-	5.90	14.4%	18.2%	3.1%	.306	4.35	25.7%	13.3%	73	-1.55	4.15	109	79
Marlon De La Cruz R 2024 · 5.31 FIP	18	SP	5.31	17.1%	20.9%	1.8%	.306	5.34	13.8%	-6.9%	101	+0.03	4.35	140	78