Carlos Barrientos

P DSL Cubs Red

Age 19 LHP 5'10" / 159 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	17	ROKDSL Cubs Red	15	1	29	9.10	5.30	24.2%	21.5%	—	K 16.4% · BB 26.8% · FIP 6.88
2026	18	ROKDSL Cubs Red	1	1	3	9.00	2.77	35.7%	21.4%	—	K 35.7% · BB 21.4% · FIP 2.80
2027PROJ	19	MLB—	16	0	17	5.82	5.82	21.8%	20.0%	-0.2
2028PROJ49% MLB	20	MLB—	12	0	13	5.47	5.34	22.4%	16.8%	-0.1

Next 2 projected WAR -0.3Projected 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%

CompsRoberto Medina (age 19) · Peter Bonilla (age 19) · Esmerlin Vinicio (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127136vR 144

ERA5.82

FIP5.82

K%21.8%

BB%20.0%

K-BB%1.8%

Proj IP17

Value2027 · WAR

Runs saved vs league avg · 17 IP

Grades · Contract

Scouting Grades

K†5055

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)
2025	17	ROK MLE	DSL Cubs Red	15	1	29	149	36	32	3	7%	1.9	16.4%	26.8%	-10.4%	3.2%	9.10	6.88	—
2025	17	ROK MLE	DSL Cubs Red	15	1	29	149	36	32	3	7%	1.9	16.4%	26.8%	-10.4%	3.2%	9.10	6.88	—
2025	17	ROK RAW	DSL Cubs Red	15	1	29	149	36	32	3	7%	1.9	24.2%	21.5%	2.7%	2.0%	9.10	5.30	—
2026	18	ROK MLE	DSL Cubs Red	1	1	3	14	5	3	0	100%	3.0	35.7%	21.4%	14.3%	0.0%	9.00	2.80	—
2026	18	ROK MLE	DSL Cubs Red	1	1	3	14	5	3	0	100%	3.0	35.7%	21.4%	14.3%	0.0%	9.00	2.80	—
2026	18	ROK RAW	DSL Cubs Red	1	1	3	14	5	3	0	100%	3.0	35.7%	21.4%	14.3%	0.0%	9.00	2.77	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	—	16	0	17	72	16	14	2	0%	1.1	21.8%	20.0%	1.8%	3.0%	5.82	5.82	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	—	26	0	27	114	26	19	3	0%	1.0	22.4%	16.8%	5.5%	2.9%	5.47	5.34	-0.2
2028	20	MLB CTX	—	12	0	13	55	12	9	2	0%	1.1	22.4%	16.8%	5.5%	2.9%	5.47	5.34	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	13	56	13	9	2	0%	1.0	22.4%	16.8%	5.5%	2.9%	5.47	4.96	-0.1
/ 200 IP	—	RAW		190	0	200	844	195	135	30	0%	1.1	22.4%	16.8%	5.5%	2.9%	5.47	4.96	-1.0
Career	—	MLE		16	2	32	163	29	43	5	12%	2.0	18.1%	26.4%	-8.3%	2.9%	9.09	6.53	-0.2
/ 200 IP	—	MLE		101	13	200	1029	186	272	30	12%	2.0	18.1%	26.4%	-8.3%	2.9%	9.09	6.53	-1.8

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 Barrientos (OGILVIE)	—	—	5.82	21.8%	20.0%	3.0%	—	5.34	22.4%	5.5%	27	-0.48	—	—	—
Roberto Medina L 2024 · 5.29 FIP	19	SW	5.29	18.5%	19.6%	2.3%	.254	5.91	15.1%	-2.7%	45	+0.62	3.87	109	84
Peter Bonilla L 2024 · 4.63 FIP	19	SU	4.63	20.9%	18.3%	1.8%	.250	6.24	19.5%	-5.4%	51	+1.61	4.27	134	79
Esmerlin Vinicio L 2022 · 4.71 FIP	19	SW	4.71	17.6%	15.7%	2.0%	.365	4.87	17.2%	0.5%	207	+0.16	3.73	383	78
Braian Salazar L 2024 · 4.71 FIP	19	SW	4.71	22.0%	20.2%	1.7%	.344	4.11	21.7%	5.1%	107	-0.60	3.58	158	78
CD Pelham L 2015 · 4.77 FIP	20	SU	4.77	18.8%	18.7%	1.6%	.286	4.00	20.4%	7.8%	109	-0.77	3.39	288	77
Develson Aria L 2019 · 5.19 FIP	18	SU	5.19	15.5%	19.7%	1.6%	.311	4.33	21.7%	3.1%	54	-0.86	4.32	137	77
Yensy Bello L 2022 · 6.82 FIP	19	SU	6.82	19.9%	32.3%	2.4%	.240	3.76	17.4%	4.1%	91	-3.06	2.65	103	75
Anfernny Reyes L 2023 · 4.98 FIP	19	SU	4.98	21.6%	13.6%	3.6%	.282	4.34	21.0%	1.8%	99	-0.64	2.89	175	74
Jeremy Peguero L 2021 · 4.63 FIP	19	SW	4.63	17.3%	17.2%	1.5%	.345	4.08	20.1%	0.6%	87	-0.55	3.52	126	74
Colby Langford L 2024 · 5.34 FIP	22	SW	5.34	21.6%	22.5%	2.2%	.273	6.01	22.2%	-1.1%	110	+0.67	4.92	168	74
Daniel Gonzalez L 2021 · 5.55 FIP	19	SU	5.55	13.6%	19.1%	2.1%	.318	4.98	20.1%	2.0%	100	-0.57	4.34	136	73
Riger Fernandez L 2017 · 5.21 FIP	19	SW	5.21	17.5%	24.7%	0.8%	.278	4.61	17.2%	-2.3%	35	-0.60	4.61	164	72
Yordan Nodal L 2021 · 5.02 FIP	19	SW	5.02	15.7%	20.7%	1.2%	.292	5.13	14.7%	-0.2%	128	+0.11	4.94	193	72
Edgardo Ibarra L 2022 · 5.37 FIP	19	SW	5.37	16.2%	16.6%	2.8%	.250	5.26	14.4%	-5.7%	63	-0.11	5.26	142	72
Alvaro Gamez L 2024 · 5.50 FIP	19	SW	5.50	13.2%	21.0%	1.6%	.278	7.06	15.0%	-9.3%	21	+1.56	4.57	115	71
Zhiorman Imbriano L 2022 · 5.72 FIP	19	SU	5.72	12.3%	21.1%	1.8%	.283	4.79	13.2%	-5.0%	65	-0.93	3.82	100	71
Max Green L 2018 · 4.87 FIP	22	SU	4.87	15.7%	13.3%	2.6%	.352	4.41	13.9%	6.6%	86	-0.46	4.19	169	70
Frenny Grant L 2023 · 4.69 FIP	19	SW	4.69	19.4%	25.5%	0.0%	.240	4.18	17.4%	3.9%	120	-0.51	3.92	143	70
Izaak Martinez L 2024 · 6.26 FIP	22	SU	6.26	21.5%	15.0%	5.6%	.300	4.03	20.0%	10.6%	125	-2.23	3.77	138	70
Gabriel Cotto L 2019 · 5.98 FIP	19	SW	5.98	11.3%	18.4%	2.8%	.309	5.15	18.5%	2.4%	113	-0.83	5.02	236	69