Marco Barrios

P Kannapolis Cannon Ballers

Age 21 RHP 6'3" / 195 lbs A peak 0.3 · 2031

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	18	ROKCWS	17	27	7.00	5.14	25.4%	27.7%	—	K 17.3% · BB 34.6% · FIP 6.43
2025	19	MIX2 levels	27	35	4.15	4.05	25.0%	12.5%	—	K 17.0% · BB 15.0% · FIP 4.83
2026	20	ACWS	48	52	2.75	2.87	24.7%	4.9%	—	K 18.3% · BB 5.8% · FIP 3.90
2027PROJ	21	MLBCWS	28	29	4.64	4.64	19.8%	9.5%	-0.0
2028PROJ49% MLB	22	MLBCWS	23	24	4.49	4.42	21.2%	8.9%	0.0
2029PROJ73% MLB	23	MLBCWS	35	37	4.36	4.27	22.1%	8.6%	0.1

Next 3 projected WAR 0.1Projected 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 1% · didn't stick 93%

CompsAndrew Bash (age 22) · Sandy Lugo (age 21) · Heath Holder (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.64

FIP4.64

K%19.8%

BB%9.5%

K-BB%10.3%

Proj IP29

Value2027 · WAR

Runs saved vs league avg · 29 IP

Grades · Contract

Scouting Grades

K†4555

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)
2024	18	ROK MLE	DSL White Sox	17	0	27	130	33	36	1	0%	1.6	17.3%	34.6%	-17.4%	0.7%	7.00	6.43	—
2024	18	ROK MLE	DSL White Sox	17	0	27	130	33	36	1	0%	1.6	17.3%	34.6%	-17.4%	0.7%	7.00	6.43	—
2024	18	ROK RAW	DSL White Sox	17	0	27	130	33	36	1	0%	1.6	25.4%	27.7%	-2.3%	0.8%	7.00	5.14	—
2025	19	MIX MLE	2 levels	27	0	35	152	38	19	4	0%	1.3	17.0%	15.0%	2.0%	2.3%	4.15	4.83	—
2025	19	MIX MLE	2 levels	27	0	35	152	38	19	4	0%	1.3	17.0%	15.0%	2.0%	2.3%	4.15	4.83	—
2025	19	MIX RAW	2 levels	27	0	35	152	38	19	4	0%	1.3	25.0%	12.5%	12.5%	2.6%	4.15	4.05	—
2026	20	A MLE	Kannapolis Cannon Ballers	48	0	52	223	55	11	5	0%	1.1	18.3%	5.8%	12.4%	2.9%	2.75	3.90	—
2026	20	A MLE	Kannapolis Cannon Ballers	48	0	52	223	55	11	5	0%	1.1	18.3%	5.8%	12.4%	2.9%	2.75	3.90	—
2026	20	A RAW	Kannapolis Cannon Ballers	48	0	52	223	55	11	5	0%	1.1	24.7%	4.9%	19.7%	2.2%	2.75	2.87	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	CWS	28	0	29	122	24	12	4	0%	1.0	19.8%	9.5%	10.3%	3.0%	4.64	4.64	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	CWS	47	0	50	209	44	19	6	0%	1.1	21.2%	8.9%	12.3%	2.9%	4.49	4.42	+0.1
2029	23	MLB MLE	CWS	49	0	51	217	48	19	6	0%	1.0	22.1%	8.6%	13.6%	2.9%	4.36	4.27	+0.2
2030	24	MLB MLE	CWS	50	0	53	223	51	19	6	0%	1.1	22.7%	8.3%	14.4%	2.9%	4.26	4.18	+0.2
2031	25	MLB MLE	CWS	51	0	53	225	52	19	6	0%	1.0	23.1%	8.2%	14.9%	2.8%	4.18	4.13	+0.3
2032	26	MLB MLE	CWS	51	0	53	225	53	18	6	0%	1.0	23.3%	8.2%	15.1%	2.8%	4.14	4.11	+0.3
2033	27	MLB MLE	CWS	50	0	53	222	52	18	6	0%	1.1	23.3%	8.3%	15.0%	2.9%	4.14	4.15	+0.2
2028	22	MLB CTX	CWS	23	0	24	101	21	9	3	0%	1.0	21.2%	8.9%	12.3%	2.9%	4.49	4.42	+0.0
2029	23	MLB CTX	CWS	35	0	37	156	35	13	4	0%	1.1	22.1%	8.6%	13.6%	2.9%	4.36	4.27	+0.1
2030	24	MLB CTX	CWS	42	0	44	186	42	16	5	0%	1.0	22.7%	8.3%	14.4%	2.9%	4.26	4.18	+0.2
2031	25	MLB CTX	CWS	45	0	47	198	46	16	6	0%	1.0	23.1%	8.2%	14.9%	2.8%	4.18	4.13	+0.2
2032	26	MLB CTX	CWS	47	0	49	207	48	17	6	0%	1.0	23.3%	8.2%	15.1%	2.8%	4.14	4.11	+0.3
2033	27	MLB CTX	CWS	47	0	49	207	48	17	6	0%	1.0	23.3%	8.3%	15.0%	2.9%	4.14	4.15	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		238	0	250	1056	241	88	30	0%	1.1	22.8%	8.4%	14.4%	2.9%	4.24	3.81	+2.2
/ 200 IP	—	RAW		190	0	200	844	193	70	24	0%	1.1	22.8%	8.4%	14.4%	2.9%	4.24	3.81	+1.8
Career	—	MLE		92	0	114	505	89	81	11	0%	1.2	17.6%	16.0%	1.6%	2.2%	4.18	4.83	+1.3
/ 200 IP	—	MLE		161	0	200	886	156	142	19	0%	1.2	17.6%	16.0%	1.6%	2.2%	4.18	4.83	+0.8

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
Marco Barrios (OGILVIE)	—	—	4.64	19.8%	9.5%	3.0%	—	4.29	22.0%	13.4%	154	-0.35	—	—	—
Andrew Bash R 2019 · 3.87 FIP	22	SU	3.87	18.0%	9.2%	2.1%	.273	4.21	14.9%	4.8%	146	+0.34	3.46	483	89
Sandy Lugo R 2015 · 3.86 FIP	21	SU	3.86	20.7%	9.5%	2.4%	.352	3.98	23.6%	12.5%	119	+0.12	3.48	146	89
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	89
RJ Petit R 2022 · 4.43 FIP	22	SU	4.43	20.3%	8.4%	3.6%	.270	3.43	22.4%	12.9%	177	-1.00	3.06	231	88
Nick Lockhart R 2022 · 4.44 FIP	21	SU	4.44	22.0%	9.9%	3.5%	.275	4.63	16.1%	5.5%	43	+0.19	4.44	140	88
Andrew Cashner R 2010 · 4.51 FIP	23	SU	4.51	20.2%	10.1%	3.4%	.285	3.30	19.9%	13.0%	221	-1.21	2.94	1,185	87
Alex Burnett R 2010 · 4.37 FIP	23	SU	4.37	17.5%	9.5%	2.8%	.311	3.80	12.9%	5.3%	122	-0.57	3.68	170	87
Mike Morrison R 2016 · 4.86 FIP	22	SU	4.86	17.3%	10.7%	3.4%	.280	4.02	19.0%	7.1%	128	-0.84	3.36	145	87
Devon Roedahl R 2019 · 3.94 FIP	22	SU	3.94	19.7%	6.7%	3.0%	.305	4.64	16.5%	9.2%	100	+0.70	3.94	122	87
Max Gieg R 2022 · 5.10 FIP	21	SU	5.10	21.1%	11.8%	4.2%	.317	4.65	20.4%	2.3%	92	-0.45	3.98	149	87
Peyton Williams R 2021 · 3.69 FIP	23	SU	3.69	22.3%	10.3%	2.1%	.311	4.82	22.2%	10.2%	100	+1.13	3.69	123	87
Chris Gau R 2018 · 4.76 FIP	21	SU	4.76	20.0%	8.6%	4.1%	.290	3.19	29.5%	23.5%	37	-1.57	2.96	211	87
Cody Palmquist R 2016 · 4.31 FIP	22	SU	4.31	21.9%	9.0%	3.5%	.278	6.02	14.7%	7.1%	62	+1.71	4.31	104	87
Mike Foltynewicz R 2014 · 4.76 FIP	22	SU	4.76	16.7%	8.3%	3.7%	.333	4.20	20.8%	12.6%	448	-0.56	3.17	957	86
Jorge Julio R 2001 · 3.48 FIP	22	SU	3.48	22.2%	9.1%	2.0%	.348	4.31	20.4%	10.1%	199	+0.83	3.48	467	86
Austin Mason R 2015 · 4.41 FIP	21	SU	4.41	17.1%	11.6%	2.4%	.289	4.06	16.2%	6.5%	151	-0.35	3.60	179	86
Will Latcham R 2018 · 3.52 FIP	22	SU	3.52	20.1%	9.4%	1.7%	.262	5.28	16.0%	4.7%	79	+1.76	3.52	134	86
David Garner R 2015 · 3.81 FIP	22	SU	3.81	21.7%	10.0%	2.3%	.282	4.52	19.8%	5.2%	98	+0.71	3.81	154	86
Jordan Mikel R 2021 · 4.49 FIP	22	SU	4.49	20.5%	12.5%	2.8%	.330	4.16	19.2%	9.0%	109	-0.33	3.04	195	86
Matt Pidich R 2018 · 4.42 FIP	23	SU	4.42	17.1%	8.3%	3.1%	.303	4.08	20.8%	13.3%	115	-0.34	4.05	196	86

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.7	49	22.4%	8.5%	1.11	4.29
Shane Greene ('23)	2.4	59	21.7%	8.6%	1.12	4.50
Jacob Barnes ('25)	1.7	48	22.0%	9.2%	1.15	4.79
Michael Tonkin ('25)	1.6	55	23.2%	8.1%	1.28	4.23
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*
Ken Dayley ('82-'93, 4 WAR*)	2.9	64	21.8%*	9.1%*	0.97*	4.10*
Xavier Hernandez ('89-'98, 3 WAR*)	3.4	67	23.9%*	9.1%*	1.12*	4.20*