Jesus Castillo — OGILVIE

Jesus CastilloSS Altoona Curve

Age 23 R/R 5'10" / 144 lbs AA BB +7% Svc 0.0 · Ctrl thru 2034 peak 0.9 · 2029

wRC+†58

AVG/OBP/SLG.194 / .287 / .246

PA320

HR2

SB12

K%28

BB%10

MLB%2%

Scouting · now → future

HIT

40→40

PWR

20→20

SPD

50→50

EYE

48↘40

trajectory · 10 yrs

0.9peak

2029

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	+0.9	$4M	+$3M
2030	Arb-2	$0.9M	+0.9	$4M	+$3M
2031	Arb-3	$0.9M	+0.8	$4M	+$3M
2032	Ext / FA-deal	$1M	+0.6	$3M	+$1M
2033	Ext / FA-deal	$1M	+0.4	$2M	+$0.6M
2034	Ext / FA-deal	$1.0M	+0.1	$0.5M	-$0.5M
Totals		$6M		$17M	+$11M

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	18	ROK	DSL PIT Black	170	154	27	1	0	0	10	46	5	15	5	.175	.249	.182	.430	.006	.248	27	6	.203	14	-17	+1	+0	+2	+5	-0.9
2022	19	ROK	2 teams	276	250	71	5	0	0	20	41	4	11	9	.284	.347	.304	.651	.020	.340	15	7	.296	85	-5	-1	+0	+3	+8	0.5
2023	20	A	Bradenton Marauders	506	408	76	9	1	1	77	131	13	39	9	.186	.333	.221	.554	.034	.266	26	15	.267	63	-21	+4	+0	+5	+14	0.3
2024	21	A	Bradenton Marauders	110	91	11	2	0	0	16	38	2	10	2	.121	.266	.143	.409	.022	.208	35	15	.204	14	-11	+1	+0	+1	+3	-0.5
2025	22	A+	Greensboro Grasshoppers	397	362	77	8	0	2	22	117	9	13	12	.213	.275	.251	.526	.039	.305	29	6	.235	38	-28	-2	+0	+4	+11	-1.5
▸ 2026 Season (actual · ROS · total)
2026	23	AA	Altoona Curve	44	41	10	0	1	1	3	15	0	3	0	.244	.295	.366	.661	.122	.360	34	7	.281	73	-1	+1	+0	+0	+1	0.1
ROS	23	MLB	PIT	276	243	49	6	1	2	26	80	5	9	3	.202	.292	.259	.551	.058	.286	29	9	.257	55	-14	+1	+0	+3	+8	-0.3
TOT	23	MLB	PIT	320	284	59	6	2	3	29	95	5	12	3	.208	.292	.275	.567	.067	.299	30	9	.261	58	-15	+1	+0	+3	+9	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 11%	PIT	453	398	84	11	2	5	45	116	7	14	5	.211	.302	.286	.589	.075	.281	26	10	.274	68	-17	+1	+0	+5	+13	0.2
2028	25	MLB 26%	PIT	485	426	92	12	2	7	48	122	8	14	5	.216	.307	.303	.610	.087	.283	25	10	.283	75	-14	+1	+0	+5	+14	0.6
2029	26	MLB 44%	PIT	503	439	97	13	2	9	51	126	8	14	4	.221	.313	.321	.634	.100	.285	25	10	.289	79	-12	+1	+0	+5	+14	0.9
2030	27	MLB 59%	PIT	510	445	98	13	2	9	52	128	8	13	4	.220	.313	.319	.632	.099	.285	25	10	.290	80	-12	+1	+0	+5	+14	0.9
2031	28	MLB 69%	PIT	510	445	98	13	2	9	52	129	8	12	4	.220	.313	.319	.632	.099	.284	25	10	.289	79	-12	+1	-1	+5	+14	0.8
2032	29	MLB 77%	PIT	502	437	95	13	2	8	52	128	8	10	3	.217	.312	.311	.623	.094	.283	25	10	.286	77	-13	+1	-1	+5	+14	0.6
2033	30	MLB 95%	PIT	494	432	92	12	2	8	51	128	8	9	3	.213	.308	.306	.613	.093	.282	26	10	.283	75	-14	+1	-2	+5	+14	0.4
2034	31	MLB	PIT	481	421	89	12	2	7	50	126	7	7	2	.211	.305	.299	.605	.088	.281	26	10	.280	72	-15	+1	-3	+5	+14	0.1
2035	32	MLB	PIT	463	405	84	11	1	7	48	124	7	5	1	.207	.302	.291	.594	.084	.279	27	10	.275	69	-16	+1	-4	+5	+13	-0.1
2036	33	MLB	PIT	434	381	77	10	1	6	44	119	6	4	1	.202	.295	.281	.576	.079	.278	27	10	.270	65	-17	+0	-4	+5	+12	-0.4
2037	34	MLB	PIT	388	340	68	9	1	5	39	110	6	3	0	.200	.294	.276	.570	.076	.276	28	10	.264	60	-17	+1	-5	+4	+11	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			6958	6077	1285	160	21	85	703	1809	119	202	72	.211	.305	.287	.592	.075	.284	26	10	.274	68	-254	+12	-20	+75	+197	1.0
/ 162G	—			650	568	120	15	2	8	66	169	11	19	7	.211	.305	.287	.592	.076	.284	26	10	.274	68	-24	+1	-2	+7	+18	0.1

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	18	ROK	DSL PIT Black	170	147	36	2	1	0	17	30	5	15	5	.245	.343	.272	.615	.027	.305	18	10	.292	81	-4	+1	—	—	+5	0.2
2022	19	ROK	FCL Pirates	150	128	45	4	0	0	17	18	3	9	6	.352	.439	.383	.822	.031	.409	12	11	.375	145	+8	-1	—	—	+4	1.2
2022	19	INTL	Sydney Blue Sox	126	113	16	1	1	0	12	24	1	2	3	.142	.230	.168	.398	.027	.180	19	10	.196	8	-13	-1	—	—	+4	-1.1
2023	20	A	Bradenton Marauders	506	383	80	9	2	1	102	95	13	39	9	.209	.392	.251	.642	.042	.270	19	20	.314	99	-1	+4	—	—	+14	1.8
2024	21	A	Bradenton Marauders	110	85	12	2	0	0	22	26	2	10	2	.141	.330	.165	.495	.024	.203	24	20	.259	56	-5	+1	—	—	+3	-0.1
2025	22	A+	Greensboro Grasshoppers	397	348	84	10	0	2	36	89	9	13	12	.241	.328	.287	.616	.046	.315	22	9	.287	78	-10	-2	—	—	+11	-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
Jesus Castillo (OGILVIE)	23	40	20	50	40	.194/.287/.246	.052	.278	2	9	28%	10%	53	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Erlin Cerda 2017 · A	23	45	36→40	53→55	44	.210/.273/.281	.071	.280	2	13	24%	6%	53	-1.5	.196/.241/.267	.071	.299	3	8	33%	5%	35	-2.8	.166/.201/.211	.044	.261	0	8	35%	4%	-1	-1.2
✕Mike Martin 2016 · A	23	41	35→30	52→55	42	.188/.277/.248	.060	.302	3	12	35%	8%	49	-1.8	.222/.280/.282	.060	.288	3	17	22%	6%	56	-1.3	.244/.292/.297	.053	.299	2	23	18%	5%	62	-0.3
✕Blake Rambusch 2023 · A	23	47	37→30	52→60	42	.219/.287/.296	.076	.318	4	13	30%	7%	63	-0.8	.226/.311/.291	.065	.315	3	28	26%	9%	72	-0.2	.233/.319/.287	.055	.311	2	37	23%	9%	71	-0.1
✕Pedruin Bautista 2007 · A	23	38	35→40	48→60	40	.181/.243/.243	.062	.278	2	11	34%	7%	31	-3.0	.210/.295/.293	.083	.275	4	19	23%	9%	67	-0.5	.222/.328/.325	.103	.266	4	33	16%	11%	88	+0.4
✕Shawn Roof 2008 · A	23	44	35→30	46→50	43	.206/.268/.264	.058	.285	3	9	27%	6%	47	-1.9	.226/.287/.279	.053	.300	2	9	23%	6%	59	-1.1	.248/.297/.297	.049	.327	1	17	23%	5%	62	-0.4
✕Jose Cordova 2023 · A	23	44	36→40	49→50	38	.205/.258/.274	.069	.299	3	8	31%	5%	45	-2.1	.213/.269/.289	.076	.307	4	9	30%	6%	53	-1.5	.224/.290/.312	.088	.305	6	10	27%	8%	65	-0.4
✕Dionis Hinojosa 2014 · A	23	43	36→30	51→60	41	.202/.259/.265	.062	.288	3	18	29%	6%	43	-2.2	.207/.259/.282	.075	.283	4	10	27%	6%	47	-1.9	.198/.248/.261	.062	.248	4	8	21%	4%	37	-0.4
✕Derrik Gibson 2013 · AA	23	43→53	34→40	51→55	44	.201/.258/.252	.050	.272	1	17	25%	6%	39	-2.5	.228/.290/.299	.071	.306	3	13	24%	7%	65	-0.7	.249/.312/.317	.069	.316	3	11	20%	7%	75	+0.0
✕DJ Jenkins 2017 · A	23	45	35→30	50→55	43	.214/.264/.268	.054	.278	3	16	23%	6%	45	-2.1	.215/.263/.259	.044	.301	2	15	27%	6%	43	-2.2	.210/.259/.240	.030	.297	1	15	28%	5%	32	-1.4
✕Kier Meredith 2022 · A	22	43	37→30	51→60	45	.202/.271/.271	.070	.286	4	11	29%	8%	50	-1.7	.211/.307/.281	.070	.293	4	26	27%	8%	69	-0.4	.229/.340/.278	.049	.305	3	35	22%	10%	80	+0.1
✕Terry Serrano 2009 · A	22	41	35→30	50→55	45	.193/.257/.255	.062	.261	3	15	26%	7%	40	-2.4	.210/.292/.281	.071	.312	3	15	30%	10%	62	-0.9	.210/.320/.274	.064	.324	2	21	31%	13%	69	-0.2
✕Dwayne Bailey 2010 · A	23	45	35→30	54→50	42	.208/.273/.268	.060	.321	3	13	34%	8%	50	-1.8	.209/.268/.270	.061	.305	2	13	30%	7%	48	-1.9	.210/.268/.263	.052	.301	1	13	28%	6%	43	-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
✕Nick Sinay 2017 · A	23	45	36→30	55→60	49	.206/.316/.268	.062	.286	3	22	26%	9%	72	-0.2	.207/.326/.265	.058	.286	3	20	26%	8%	76	+0.1	.188/.332/.220	.031	.271	2	26	26%	8%	66	-0.3
✕Tyreace House 2010 · A	22	46	36→30	53→55	46	.214/.282/.276	.061	.301	3	14	28%	8%	56	-1.3	.202/.292/.246	.044	.274	1	19	24%	10%	53	-1.5	.191/.284/.221	.030	.260	1	22	24%	10%	42	-1.8
✕Corey Joyce 2022 · AA	23	41	39→45	53→50	39	.193/.262/.274	.080	.300	7	13	36%	7%	48	-1.9	.208/.307/.328	.120	.294	12	12	31%	10%	82	+0.5	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Jordan Serena 2016 · A	23	40→46	35→30	54→50	38	.187/.255/.250	.063	.288	2	17	34%	6%	39	-2.5	.197/.255/.261	.064	.294	3	10	32%	6%	40	-2.4	.192/.247/.250	.058	.285	3	9	32%	5%	32	-1.8
✕Cutter Dykstra 2012 · A	23	45→55	37→40	51→55	41	.212/.268/.283	.070	.299	5	16	29%	6%	51	-1.7	.228/.289/.311	.083	.308	6	16	26%	7%	68	-0.5	.236/.303/.323	.087	.313	6	16	25%	8%	75	-0.0
✕Yoel Romero 2021 · A	23	43	39→40	46→50	46	.205/.268/.285	.080	.271	6	9	26%	8%	53	-1.5	.214/.264/.307	.093	.327	8	4	35%	6%	56	-1.3	.209/.256/.300	.091	.320	8	0	36%	5%	49	-0.8
✕Chad Hinshaw 2014 · A	23	47→44	35→45	52→55	44	.215/.303/.277	.062	.306	3	13	28%	7%	67	-0.5	.220/.297/.342	.122	.309	11	24	31%	6%	81	+0.4	.211/.290/.332	.122	.302	11	30	32%	7%	72	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)