Roinny Aguiar — OGILVIE

Roinny AguiarSS FCL Pirates

Age 21 R/R 5'7" / 160 lbs ROK BB +7% Svc 0.0 · Ctrl thru 2037 peak 1.8 · 2031

wRC+†63

AVG/OBP/SLG.209 / .278 / .307

PA58

HR1

K%29

BB%8

MLB%0%

trajectory · 10 yrs

1.8peak

2031

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Ext / FA-deal	$0.9M	+1.8	$17M	+$16M
2033	Ext / FA-deal	$1.0M	+1.7	$17M	+$16M
2034	Ext / FA-deal	$1.0M	+1.6	$16M	+$15M
2035	Ext / FA-deal	$3M	+1.3	$14M	+$11M
2036	Ext / FA-deal	$4M	+1.1	$12M	+$8M
2037	Ext / FA-deal	$3M	+0.7	$4M	+$0.4M
Totals		$13M		$79M	+$67M

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
2022	17	ROK	DSL PIT Gold	147	116	16	4	0	1	25	47	2	18	5	.138	.301	.198	.499	.060	.217	32	17	.240	42	-10	+2	+0	+2	+4	-0.2
2023	18	ROK	DSL Pirates Gold	168	147	31	2	2	1	14	60	5	15	6	.211	.301	.272	.573	.061	.341	36	8	.257	55	-9	+1	+0	+2	+5	-0.1
2024	19	ROK	FCL Pirates	104	91	17	2	1	0	9	37	0	7	3	.187	.260	.231	.491	.044	.309	36	9	.205	15	-10	+0	+0	+1	+3	-0.6
2025	20	ROK	FCL Pirates	54	44	6	0	0	0	8	13	0	4	1	.136	.269	.136	.406	.000	.194	24	15	.202	13	-5	+0	+0	+1	+2	-0.3
▸ 2026 Season
2026	21	MLB	PIT	58	53	11	2	0	1	4	17	1	1	0	.208	.276	.302	.578	.094	.288	29	7	.268	63	-2	+0	+0	+1	+2	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	PIT	142	128	28	5	1	3	12	39	1	3	1	.219	.291	.344	.635	.125	.290	27	8	.287	78	-4	+0	+0	+2	+4	0.2
2028	23	MLB 28%	PIT	270	242	56	10	2	7	23	72	3	5	1	.231	.306	.376	.682	.145	.291	27	9	.298	87	-4	+1	+0	+3	+8	0.7
2029	24	MLB 45%	PIT	362	323	74	13	2	10	32	94	4	7	2	.229	.306	.375	.681	.146	.292	26	9	.306	92	-3	+1	+0	+4	+10	1.2
2030	25	MLB 60%	PIT	417	372	87	15	3	12	38	107	4	8	2	.234	.312	.387	.699	.153	.293	26	9	.310	96	-2	+1	+0	+4	+12	1.5
2031	26	MLB 77%	PIT	451	401	95	17	3	13	42	116	5	9	2	.237	.317	.392	.708	.155	.294	26	9	.313	97	-1	+1	+0	+5	+13	1.8
2032	27	MLB 92%	PIT	467	415	97	17	3	13	44	121	5	9	2	.234	.315	.383	.698	.149	.294	26	9	.313	97	-1	+1	+0	+5	+13	1.8
2033	28	MLB	PIT	473	420	97	17	3	13	45	123	5	8	1	.231	.313	.379	.691	.148	.293	26	10	.312	97	-2	+1	-1	+5	+13	1.7
2034	29	MLB	PIT	470	417	96	17	3	13	45	124	5	7	1	.230	.313	.379	.692	.149	.293	26	10	.309	95	-3	+1	-1	+5	+13	1.6
2035	30	MLB	PIT	463	411	95	17	3	13	44	124	5	6	1	.231	.313	.382	.695	.151	.291	27	10	.306	93	-4	+1	-2	+5	+13	1.3
2036	31	MLB	PIT	452	401	90	16	2	12	43	122	5	4	0	.224	.307	.364	.671	.140	.290	27	10	.303	90	-5	+1	-3	+5	+13	1.1
2037	32	MLB	PIT	435	387	85	15	2	11	41	120	4	2	0	.220	.301	.354	.655	.134	.288	28	9	.298	86	-7	+0	-4	+5	+12	0.7
2038	33	MLB	PIT	407	362	79	14	2	10	38	115	4	0	0	.218	.300	.351	.650	.133	.287	28	9	.292	82	-8	+0	-4	+4	+12	0.3
2039	34	MLB	PIT	363	323	69	12	2	8	34	106	3	0	0	.214	.294	.337	.632	.124	.285	29	9	.286	77	-9	+0	-5	+4	+10	-0.0
2040	35	MLB	PIT	309	274	58	10	2	7	29	93	3	0	0	.212	.294	.339	.634	.128	.283	30	9	.278	71	-10	+0	-6	+3	+9	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			6012	5327	1187	205	36	148	570	1650	64	113	28	.223	.305	.358	.664	.135	.292	27	9	.297	85	-100	+11	-25	+64	+170	12.3
/ 162G	—			650	576	128	22	4	16	62	178	7	12	3	.222	.305	.358	.663	.135	.291	27	10	.297	85	-11	+1	-3	+7	+18	1.3

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
2022	17	ROK	DSL PIT Gold	147	103	21	6	0	1	38	31	2	18	5	.204	.427	.291	.718	.087	.278	21	26	.343	121	+3	+2	—	—	+4	0.9
2023	18	ROK	DSL Pirates Gold	168	138	44	4	4	1	23	40	5	15	6	.319	.434	.428	.861	.109	.434	24	14	.387	155	+10	+1	—	—	+5	1.6
2024	19	ROK	FCL Pirates	104	87	21	2	1	0	13	27	0	7	3	.241	.340	.287	.627	.046	.344	26	12	.284	76	-3	+0	—	—	+3	0.0
2025	20	ROK	FCL Pirates	54	39	7	0	0	0	13	9	0	4	1	.179	.385	.179	.564	.000	.233	17	24	.285	76	-1	+0	—	—	+2	0.1

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
Roinny Aguiar (OGILVIE)	21	—	—	—	—	.209/.278/.307	.099	.288	1	1	29%	8%	63	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕David Bote 2014 · A	21	40→48	39→55	47→45	47	.191/.269/.278	.087	.263	6	7	28%	9%	52	-1.6	.204/.273/.294	.090	.273	6	6	26%	7%	57	-1.2	.234/.308/.397	.164	.298	19	6	27%	8%	95	+1.0
✕Emmanuel Rivera 2017 · A	21	40→50	37→55	49→45	43	.190/.250/.266	.075	.266	3	10	28%	7%	40	-2.4	.234/.273/.341	.107	.295	9	6	23%	4%	68	-0.5	.246/.303/.412	.166	.293	19	4	22%	7%	97	+1.1
✕Eguy Rosario 2021 · A	21	43→49	42→55	48→55	39	.213/.259/.322	.109	.292	9	12	30%	5%	58	-1.2	.227/.286/.366	.139	.304	14	20	28%	7%	82	+0.5	.223/.285/.369	.146	.292	15	21	28%	7%	80	+0.2
✕Ryan McKenna 2018 · A	21	43→53	42→50	52→55	39	.210/.265/.317	.107	.297	9	12	31%	6%	59	-1.1	.226/.289/.332	.106	.311	9	12	28%	7%	73	-0.1	.218/.295/.357	.140	.319	16	13	34%	9%	80	+0.2
✕Sam McWilliams 2019 · A	21	46→53	39→55	54→50	43	.215/.280/.307	.092	.311	6	14	31%	7%	63	-0.8	.213/.273/.319	.106	.326	8	10	35%	7%	63	-0.8	.244/.305/.407	.163	.380	18	10	38%	7%	98	+1.1
●Chun-Hsiu Chen 2010 · A	21	43→53	41→50	48→45	40	.209/.263/.306	.097	.302	8	6	32%	7%	55	-1.4	.250/.309/.388	.138	.334	12	4	27%	7%	96	+1.5	.256/.318/.393	.137	.347	12	4	28%	8%	99	+1.3
✕Parker Meadows 2021 · A	21	40→47	41→55	46→55	42	.197/.253/.288	.091	.267	9	9	29%	7%	47	-1.9	.203/.263/.335	.132	.270	14	12	29%	7%	64	-0.8	.225/.292/.400	.175	.278	20	21	26%	8%	91	+1.1
●James McCann 2012 · A	22	41→51	42→50	49→45	39	.203/.260/.306	.103	.288	9	7	32%	6%	55	-1.4	.223/.261/.310	.087	.291	6	6	24%	4%	55	-1.4	.254/.315/.415	.161	.331	20	4	28%	7%	104	+1.1
✕Chris Nelson 2007 · A	21	41→51	42→50	49→50	37	.204/.244/.308	.104	.272	9	9	28%	4%	48	-1.9	.223/.274/.359	.136	.280	13	12	24%	6%	75	-0.0	.257/.301/.387	.130	.311	13	7	21%	5%	87	+0.6
●Bo Naylor 2021 · A	21	41→43	44→55	50	43	.203/.259/.325	.122	.273	11	7	29%	7%	59	-1.1	.199/.278/.352	.153	.276	18	12	33%	9%	75	-0.0	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
●Nick Ahmed 2012 · A	22	43→53	39→55	50→55	45	.210/.267/.297	.088	.269	6	13	24%	7%	55	-1.4	.217/.262/.301	.084	.277	5	20	22%	5%	53	-1.5	.244/.306/.411	.168	.278	18	7	19%	8%	98	+1.3
✕Eddys Leonard 2021 · A	20	42→46	40→50	46→45	45	.200/.274/.295	.095	.288	7	9	31%	8%	59	-1.1	.227/.293/.378	.151	.302	17	5	29%	7%	89	+0.9	.224/.290/.376	.152	.290	17	4	28%	6%	83	+0.5
✕Adan Velazquez 2011 · A	21	42→52	41→45	52→50	40	.205/.264/.308	.103	.282	7	10	29%	6%	56	-1.3	.220/.268/.317	.097	.295	8	9	27%	5%	60	-1.0	.246/.284/.346	.100	.296	10	4	20%	4%	72	-0.2
✕Jonathan Ornelas 2021 · A	21	41→51	39→45	50	41	.200/.257/.289	.089	.276	6	11	29%	6%	49	-1.8	.224/.274/.329	.105	.305	11	10	29%	5%	66	-0.6	.228/.286/.328	.100	.313	11	12	29%	6%	68	-0.4
●Tyler Nevin 2018 · A	21	46→54	41→50	45	43	.225/.276/.329	.104	.286	8	9	24%	6%	67	-0.5	.231/.283/.339	.108	.294	10	6	24%	6%	72	-0.2	.240/.318/.386	.146	.290	17	4	22%	8%	98	+1.1
✕Tucker Mitchell 2022 · A	21	43	39→50	51→45	39	.202/.262/.293	.090	.301	6	7	33%	6%	52	-1.6	.193/.267/.305	.112	.296	13	8	37%	7%	59	-1.1	.178/.253/.291	.113	.253	15	7	34%	7%	47	-0.8
●Alex Liddi 2009 · A	20	42→52	40→60	49→50	38	.202/.249/.300	.098	.290	7	9	32%	5%	48	-1.9	.240/.291/.399	.159	.335	16	7	32%	6%	92	+1.2	.241/.296/.424	.182	.336	20	5	33%	6%	99	+1.7
●Alonzo Harris 2010 · A	21	41→50	45→55	50→60	37	.209/.251/.325	.116	.281	14	12	31%	5%	56	-1.3	.210/.248/.305	.095	.275	8	15	26%	4%	48	-1.9	.240/.296/.401	.161	.286	19	35	22%	7%	92	+0.9
✕Keon Broxton 2011 · A	21	38→48	41→55	53→60	36	.184/.238/.293	.109	.299	7	10	39%	6%	41	-2.3	.196/.253/.296	.100	.314	9	15	38%	7%	49	-1.8	.225/.301/.390	.165	.341	17	38	36%	9%	92	+1.0
●Lane Thomas 2017 · A	21	40→50	40→55	50→55	41	.186/.260/.282	.095	.307	7	14	39%	9%	49	-1.8	.205/.266/.333	.128	.309	13	13	36%	7%	64	-0.8	.248/.312/.427	.179	.308	21	13	25%	7%	107	+2.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)