Gregory Barrios — OGILVIE

Gregory BarriosSS Montgomery Biscuits

Age 22 R/R 5'11" / 180 lbs AA Svc 0.0 · Ctrl thru 2034 peak 1.4 · 2031

wRC+†56

AVG/OBP/SLG.225 / .271 / .291

PA320

HR2

SB17

K%17

BB%5

MLB%2%

Scouting · now → future

HIT

50→50

PWR

25→25

SPD

60→60

EYE

37↘30

trajectory · 10 yrs

1.3peak

2030

Contract

ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+1.2	$10M	+$10M
2030	Arb-2	$0.9M	+1.3	$12M	+$11M
2031	Arb-3	$0.9M	+1.4	$13M	+$12M
2032	Ext / FA-deal	$3M	+1.2	$11M	+$9M
2033	Ext / FA-deal	$4M	+1.0	$10M	+$6M
2034	Ext / FA-deal	$4M	+0.8	$4M	-$0.4M
Totals		$13M		$61M	+$47M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2021	17	ROK	DSL Brewers 1	116	107	17	3	0	0	8	22	0	9	1	.159	.217	.187	.404	.028	.198	19	7	.184	-1	-13	+1	+0	+1	+3	-0.7
2022	18	ROK	ACL Brewers Gold	200	182	40	3	2	0	10	44	4	13	0	.220	.276	.258	.534	.038	.282	22	5	.236	39	-14	+3	+0	+2	+6	-0.3
2023	19	A	Carolina Mudcats	445	419	77	14	3	1	15	86	7	32	8	.184	.224	.239	.463	.055	.226	19	3	.205	15	-43	+3	+0	+5	+13	-2.3
2024	20	A+	Bowling Green Hot Rods	454	418	94	20	2	1	19	74	8	36	9	.225	.272	.289	.561	.065	.264	16	4	.247	47	-27	+4	+0	+5	+13	-0.6
2025	21	AA	2 teams	332	310	66	8	0	1	14	56	5	36	7	.213	.258	.248	.507	.035	.256	17	4	.228	32	-25	+4	+0	+4	+9	-0.8
▸ 2026 Season (actual · ROS · total)
2026	22	AA	Montgomery Biscuits	59	53	13	2	0	0	4	13	0	4	3	.245	.298	.283	.581	.038	.310	22	7	.262	59	-3	-0	+0	+1	+2	-0.1
ROS	22	MLB	TB	261	243	56	10	1	1	13	47	3	13	4	.230	.278	.292	.570	.062	.275	18	5	.258	55	-13	+1	+0	+3	+7	-0.2
TOT	22	MLB	TB	320	296	69	12	1	1	17	60	3	17	7	.233	.282	.291	.572	.057	.286	19	5	.259	56	-16	+1	+0	+3	+9	-0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 12%	TB	406	374	89	16	1	5	24	62	5	20	6	.238	.293	.326	.619	.088	.270	15	6	.277	71	-14	+2	+0	+4	+12	0.4
2028	24	MLB 27%	TB	458	420	102	18	2	7	30	71	5	21	7	.243	.301	.345	.646	.102	.272	16	7	.288	78	-11	+1	+0	+5	+13	0.8
2029	25	MLB 44%	TB	485	443	107	19	2	8	33	76	6	22	7	.242	.303	.348	.651	.106	.274	16	7	.294	83	-9	+2	+0	+5	+14	1.2
2030	26	MLB 59%	TB	499	455	111	20	2	9	35	79	6	21	7	.244	.306	.356	.662	.112	.275	16	7	.298	86	-8	+1	+0	+5	+14	1.3
2031	27	MLB 77%	TB	503	456	112	20	2	9	36	80	6	20	6	.246	.309	.357	.667	.112	.275	16	7	.298	86	-8	+2	+0	+5	+14	1.4
2032	28	MLB 84%	TB	501	454	110	19	2	9	36	81	6	19	6	.242	.306	.352	.659	.110	.274	16	7	.297	85	-8	+1	-1	+5	+14	1.2
2033	29	MLB 91%	TB	493	448	109	19	2	9	36	81	6	17	5	.243	.308	.355	.663	.112	.274	16	7	.294	83	-9	+1	-1	+5	+14	1.0
2034	30	MLB	TB	483	440	103	18	1	8	35	81	5	15	4	.234	.298	.334	.632	.100	.272	17	7	.291	81	-10	+1	-2	+5	+14	0.8
2035	31	MLB	TB	469	427	101	18	1	8	34	81	5	12	3	.237	.300	.340	.640	.103	.271	17	7	.288	78	-12	+1	-3	+5	+13	0.5
2036	32	MLB	TB	451	410	95	17	1	7	33	80	5	10	3	.232	.297	.329	.626	.098	.270	18	7	.283	75	-13	+1	-4	+5	+13	0.2
2037	33	MLB	TB	422	385	87	15	1	6	30	78	4	8	2	.226	.289	.317	.606	.091	.268	18	7	.278	71	-14	+1	-4	+5	+12	-0.1
2038	34	MLB	TB	376	342	77	13	1	5	27	72	4	7	1	.225	.290	.313	.602	.088	.267	19	7	.271	66	-14	+1	-5	+4	+11	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			7354	6733	1553	270	26	94	468	1251	90	331	86	.231	.290	.320	.610	.090	.268	17	6	.274	68	-266	+32	-20	+79	+208	3.4
/ 162G	—			650	595	137	24	2	8	41	111	8	29	8	.230	.289	.318	.606	.087	.269	17	6	.274	68	-24	+3	-2	+7	+18	0.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2021	17	ROK	DSL Brewers 1	116	101	21	4	0	0	14	14	0	9	1	.208	.304	.248	.552	.040	.239	12	12	.261	58	-6	+1	—	—	+3	-0.1
2022	18	ROK	ACL Brewers Gold	200	175	51	5	2	0	17	30	4	13	0	.291	.367	.343	.710	.051	.342	15	8	.321	104	+1	+3	—	—	+6	0.9
2023	19	A	Carolina Mudcats	445	410	95	20	3	1	24	60	7	32	8	.232	.286	.302	.588	.071	.266	13	5	.267	62	-19	+3	—	—	+13	-0.3
2024	20	A+	Bowling Green Hot Rods	454	406	117	23	3	1	30	53	8	36	9	.288	.348	.367	.715	.079	.321	12	7	.319	102	+1	+4	—	—	+13	1.8
2025	21	AA	Montgomery Biscuits	297	274	66	7	0	1	18	42	2	28	7	.241	.293	.277	.570	.036	.280	14	6	.261	58	-14	+3	—	—	+8	-0.3
2025	21	ROK	FCL Rays	35	29	8	2	0	0	3	1	3	8	0	.276	.400	.345	.745	.069	.286	3	9	.351	127	+1	+2	—	—	+1	0.4

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Gregory Barrios (OGILVIE)	22	50	25	60	30	.225/.271/.291	.066	.270	2	16	17%	5%	55	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Randy Romero 2022 · A	22	48	36→40	60	44	.222/.264/.291	.069	.264	2	22	17%	5%	51	-1.7	.199/.245/.266	.067	.291	4	14	31%	5%	37	-2.7	.169/.205/.209	.040	.268	4	19	37%	4%	4	-1.0
✕Gabriel Mejia 2018 · A	23	49	35→30	53→70	45	.231/.279/.287	.056	.287	2	24	20%	6%	56	-1.3	.211/.262/.269	.058	.287	3	13	26%	6%	45	-2.1	.213/.270/.257	.043	.271	0	10	20%	7%	43	-0.5
✕Rafael Bautista 2015 · A	22	51→56	37→30	60	43	.242/.287/.311	.070	.297	4	35	20%	5%	66	-0.6	.243/.284/.305	.062	.297	3	33	18%	4%	63	-0.9	.251/.294/.300	.049	.315	2	32	20%	5%	62	-0.5
✕Eury Pérez 2012 · A	22	54→64	36→40	59→65	40	.256/.288/.318	.061	.313	3	33	19%	4%	67	-0.5	.272/.301/.338	.066	.333	3	33	19%	3%	79	+0.3	.287/.318/.359	.072	.348	4	37	18%	2%	86	+0.6
✕Omar Garcia 2016 · A	22	49→50	33→30	55→60	43	.226/.281/.270	.043	.295	1	33	23%	5%	53	-1.5	.213/.268/.263	.050	.280	3	24	23%	6%	46	-2.0	.187/.251/.202	.015	.245	0	22	22%	7%	20	-1.3
✕Tyler Pastornicky 2011 · AA	21	48→58	38→45	58→60	49	.226/.282/.309	.083	.269	5	30	18%	7%	64	-0.8	.254/.296/.349	.095	.295	7	20	16%	6%	80	+0.4	.267/.306/.362	.094	.306	7	16	15%	5%	83	+0.4
✕Johneshwy Fargas 2017 · A	22	45→49	36→45	56→65	41	.211/.260/.274	.063	.273	3	30	24%	5%	45	-2.1	.209/.260/.296	.087	.272	7	34	25%	4%	52	-1.6	.221/.274/.323	.102	.288	11	50	26%	5%	61	-0.5
✕Josh Anderson 2006 · AA	23	53→62	36→40	59→60	41	.248/.283/.319	.072	.302	3	32	19%	4%	66	-0.6	.267/.302/.338	.071	.319	3	32	16%	4%	79	+0.3	.278/.314/.349	.071	.327	3	35	15%	4%	83	+0.6
✕Jamal Austin 2014 · A	23	53→55	34→30	55	45	.249/.290/.303	.054	.298	1	23	17%	5%	65	-0.7	.239/.279/.315	.076	.285	4	22	17%	4%	63	-0.8	.250/.280/.333	.084	.287	5	30	15%	2%	65	-0.3
✕Johan Rojas 2023 · AA	22	43→53	42→45	63→65	42	.213/.261/.318	.105	.268	9	34	24%	5%	58	-1.2	.245/.287/.352	.107	.309	8	37	22%	5%	77	+0.1	.258/.299/.360	.102	.324	7	41	22%	5%	80	+0.3
✕Ryan Brett 2013 · A	21	51→55	39→45	59→60	45	.241/.288/.332	.092	.293	5	26	20%	6%	72	-0.2	.248/.289/.357	.109	.301	8	23	20%	5%	79	+0.3	.248/.284/.359	.111	.298	9	21	20%	4%	74	-0.0
✕Rey Fuentes 2013 · AA	22	44→54	38→40	58→60	39	.210/.260/.288	.078	.299	5	27	30%	5%	49	-1.8	.247/.299/.338	.091	.332	7	29	26%	6%	79	+0.3	.270/.319/.363	.092	.348	8	33	23%	6%	89	+0.7
✕Jacob Young 2022 · A	23	43→53	38→40	57→60	43	.206/.257/.288	.083	.264	5	20	24%	6%	48	-1.9	.238/.299/.313	.075	.302	4	31	21%	6%	72	-0.2	.248/.310/.323	.074	.311	3	36	20%	6%	76	+0.1
✕Wes Rogers 2016 · A	22	46→51	39→40	64→65	43	.219/.275/.306	.087	.286	6	33	25%	6%	60	-1.0	.220/.275/.309	.089	.294	6	34	25%	6%	61	-1.0	.216/.270/.302	.086	.290	6	36	26%	6%	55	-1.1
✕Abiatal Avelino 2016 · A	21	47→51	38→45	55	43	.222/.265/.299	.077	.275	5	28	21%	5%	54	-1.4	.233/.274/.326	.093	.290	7	20	21%	5%	65	-0.7	.242/.281/.345	.104	.299	9	19	22%	5%	69	-0.3
✕Kelby Tomlinson 2013 · A	23	45→55	36→40	55→60	44	.212/.266/.277	.065	.278	3	19	24%	6%	49	-1.8	.233/.284/.296	.063	.310	3	23	24%	6%	61	-1.0	.274/.334/.339	.065	.334	3	24	17%	7%	89	+0.7
✕Ayendy Perez 2016 · A	22	50	35→30	57→60	48	.234/.290/.295	.061	.293	1	26	20%	7%	63	-0.8	.223/.272/.281	.058	.329	2	21	30%	6%	52	-1.6	.221/.267/.263	.042	.344	0	26	34%	5%	43	-1.4
✕Everth Cabrera 2009 · A	22	48→58	38→40	60→65	43	.228/.283/.312	.085	.304	5	32	26%	6%	66	-0.6	.238/.305/.329	.091	.310	4	33	22%	8%	79	+0.3	.260/.326/.339	.079	.330	3	54	20%	8%	86	+0.5
✕José Peraza 2016 · MLB	22	54→64	37→45	64→65	42	.257/.280/.337	.080	.292	4	37	14%	3%	69	-0.4	.267/.299/.350	.083	.303	6	28	14%	4%	81	+0.4	.273/.311/.358	.084	.306	7	25	13%	4%	84	+0.6
✕Mauricio Dubón 2016 · A	22	50→60	38→45	53→55	43	.239/.281/.317	.078	.292	6	18	20%	5%	66	-0.6	.252/.291/.345	.093	.302	6	22	18%	5%	76	+0.1	.262/.299/.376	.114	.288	10	6	13%	4%	87	+0.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)