Harold Castro — OGILVIE

Harold Castro2B Omaha Storm Chasers

Age 32 L/R 6'0" / 195 lbs AAA HR -5%BB +4% Svc 7.000 · Ctrl thru 2026 peak 0.6 · 2026

wRC+†89

AVG/OBP/SLG.249 / .289 / .388

PA350

HR9

SB5

K%24

BB%5

xwOBA.264

Barrel%3.1%

MLB%10%

Scouting · now → future

HIT

60→60

PWR

60→60

SPD

50→50

EYE

38↘35

trajectory · 10 yrs

0.5peak

2026

Barrel%

103.1

xwOBA

120.264

Avg EV

1286.2

Whiff%

150.150

Chase%

100.459

Speed

3026.5

Bat Spd

1066.6

Contract

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

Status FA

MLB Debut 2019

Service 7.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$3M	+0.6	$2M	-$0.8M
Totals		$3M		$2M	-$0.8M

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
2011	17	ROK	VSL Tigers	272	256	68	8	0	1	7	30	4	24	7	.266	.296	.309	.604	.043	.298	11	3	.256	54	-14	+2	+0	+1	+8	-0.3
2012	18	ROK	GCL Tigers	216	197	52	11	2	1	6	36	1	15	3	.264	.289	.355	.645	.091	.313	17	3	.259	56	-11	+2	+0	+1	+6	-0.2
2013	19	A	2 teams	233	222	46	8	2	1	5	82	0	8	3	.207	.225	.275	.499	.068	.319	35	2	.208	17	-22	+0	+0	+1	+7	-1.4
2014	20	A+	2 teams	315	287	72	9	0	0	10	67	4	11	10	.251	.286	.282	.568	.031	.324	21	3	.246	46	-19	-2	+0	+1	+9	-1.1
2015	21	AA	2 teams	412	386	94	11	2	1	10	96	1	18	9	.244	.264	.290	.555	.047	.315	23	2	.238	40	-28	+0	+0	+1	+12	-1.5
2016	22	AA	2 teams	559	530	117	19	1	4	10	108	2	6	7	.221	.238	.283	.521	.062	.268	19	2	.223	29	-45	-2	+0	+2	+16	-2.9
2017	23	AA	3 teams	661	621	174	23	6	1	16	101	8	22	13	.280	.307	.341	.648	.061	.329	15	2	.281	73	-20	-1	+0	+2	+19	0.0
2018	24	INTL	3 teams	630	607	148	19	0	3	11	142	1	11	6	.244	.258	.290	.548	.046	.310	23	2	.238	40	-42	-0	+0	+7	+18	-1.8
2019	25	MLB	2 teams	503	479	134	12	5	9	15	115	0	5	5	.280	.302	.382	.684	.102	.347	23	3	.297	86	-8	-1	-5	+2	+14	0.2
2020	26	MLB	Detroit Tigers	54	49	17	4	0	0	5	11	0	0	0	.347	.407	.429	.836	.082	.447	20	9	.384	152	+3	+0	-1	-1	+2	0.3
2021	27	MLB	Detroit Tigers	339	315	89	13	1	3	14	72	1	1	1	.283	.315	.359	.674	.076	.351	21	4	.290	80	-8	-0	-8	+4	+10	-0.3
2022	28	MLB	2 teams	546	517	140	28	3	9	21	97	3	2	3	.271	.303	.389	.692	.118	.317	18	4	.297	86	-9	-1	-11	-10	+15	-1.5
2023	29	MLB	2 teams	418	394	97	19	0	1	14	102	3	5	0	.246	.277	.302	.579	.056	.323	24	3	.255	53	-22	+1	-4	+1	+12	-1.2
2024	30	INTL	Leones del Caracas	213	193	64	10	1	15	16	41	4	6	3	.332	.394	.627	1.021	.295	.358	19	8	—	—	—	—	+0	+1	—	—
2025	31	AAA	2 teams	603	561	142	22	3	26	28	139	3	9	4	.253	.292	.442	.734	.189	.289	23	5	.311	96	-3	+0	+0	+2	+17	1.7
▸ 2026 Season
2026	32	MLB	KC	350	328	83	15	2	9	17	82	2	5	1	.253	.294	.393	.687	.140	.304	23	5	.302	89	-4	+1	-1	+1	+10	0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	33	MLB 20%	KC	350	329	81	14	2	9	17	85	1	3	1	.246	.285	.383	.668	.137	.302	24	5	.295	84	-6	+0	-5	+1	+10	-0.0
2028	34	MLB 33%	KC	306	287	69	12	1	7	15	77	1	2	0	.240	.281	.362	.643	.122	.300	25	5	.287	78	-8	+0	-6	+1	+9	-0.3
2029	35	MLB 43%	KC	253	238	56	9	1	6	12	66	1	1	0	.235	.275	.357	.632	.122	.298	26	5	.279	72	-8	+0	-6	+1	+7	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			7233	6796	1743	266	32	106	249	1549	40	154	76	.256	.287	.352	.639	.095	.315	21	3	.263	59	-332	+0	-47	+20	+205	-15.6
/ 162G	—			650	611	157	24	3	10	22	139	4	14	7	.257	.287	.355	.642	.098	.315	21	3	.263	59	-30	+0	-4	+2	+18	-1.4

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
2011	17	ROK	VSL Tigers	272	252	79	10	0	1	11	21	4	24	7	.313	.352	.365	.717	.052	.339	8	4	.320	103	+1	+2	—	—	+8	1.1
2012	18	ROK	GCL Tigers	216	193	60	14	2	1	10	25	1	15	3	.311	.348	.420	.768	.109	.347	12	5	.324	106	+1	+2	—	—	+6	1.0
2013	19	A+	Lakeland Flying Tigers	80	73	20	2	1	0	5	22	0	3	2	.274	.321	.329	.649	.055	.385	28	6	.288	79	-2	-0	—	—	+2	0.0
2013	19	A	West Michigan Whitecaps	153	147	34	7	1	1	2	40	0	5	1	.231	.242	.313	.555	.082	.308	26	1	.240	42	-10	+1	—	—	+4	-0.5
2014	20	A+	Lakeland Flying Tigers	232	211	63	5	0	0	9	40	3	8	8	.299	.336	.322	.659	.024	.366	17	4	.290	80	-5	-2	—	—	+7	-0.0
2014	20	A	West Michigan Whitecaps	83	72	18	5	0	0	5	7	1	3	2	.250	.308	.319	.627	.069	.273	8	6	.270	65	-3	-0	—	—	+2	-0.1
2015	21	AA	Erie SeaWolves	363	336	86	12	2	1	14	63	1	17	9	.256	.288	.312	.600	.057	.306	17	4	.263	59	-17	-0	—	—	+10	-0.7
2015	21	INTL	Leones del Caracas	49	44	13	3	0	1	2	5	0	1	0	.295	.326	.432	.758	.136	.316	10	4	.316	100	-0	+0	—	—	+1	0.2
2016	22	AA	Erie SeaWolves	416	392	97	16	1	4	11	63	2	6	7	.247	.272	.324	.596	.077	.284	15	3	.261	58	-20	-2	—	—	+12	-1.0
2016	22	INTL	Leones del Caracas	143	131	37	7	3	0	6	30	0	0	0	.282	.314	.382	.696	.099	.359	21	4	.297	85	-2	+0	—	—	+4	0.2
2017	23	AA	Erie SeaWolves	449	414	120	16	4	1	18	53	6	20	9	.290	.329	.355	.684	.065	.326	12	4	.302	89	-5	+0	—	—	+13	0.8
2017	23	A+	Lakeland Flying Tigers	33	33	12	2	1	0	0	3	0	2	0	.364	.364	.485	.848	.121	.400	9	0	.374	144	+2	+0	—	—	+1	0.3
2017	23	INTL	Leones del Caracas	179	163	44	9	1	0	9	19	2	0	4	.270	.316	.337	.654	.067	.301	11	5	.289	79	-4	-2	—	—	+5	-0.1
2018	24	AAA	Toledo Mud Hens	251	241	62	8	0	2	5	47	0	3	3	.257	.272	.315	.588	.058	.309	19	2	.259	56	-12	-1	—	—	+7	-0.6
2018	24	AA	Erie SeaWolves	116	110	31	5	0	0	4	21	1	2	1	.282	.313	.327	.640	.045	.344	18	3	.289	79	-3	+0	—	—	+3	0.1
2018	24	INTL	Leones del Caracas	263	245	84	13	2	3	13	30	0	6	2	.343	.376	.449	.825	.106	.377	11	5	.361	134	+10	+0	—	—	+7	1.8
2019	25	MLB	Detroit Tigers	369	354	103	10	4	5	9	86	0	4	2	.291	.309	.384	.693	.093	.367	23	2	.304	90	-4	+0	-5	+2	+10	0.3
2019	25	AAA	Toledo Mud Hens	134	122	40	5	1	4	9	26	0	1	3	.328	.374	.484	.858	.156	.387	19	7	.372	142	+6	-1	—	—	+4	0.9
2020	26	MLB	Detroit Tigers	54	49	17	4	0	0	5	11	0	0	0	.347	.407	.429	.836	.082	.447	20	9	.378	147	+3	+0	-1	-1	+2	0.3
2021	27	MLB	Detroit Tigers	339	315	89	13	1	3	14	72	1	1	1	.283	.315	.359	.674	.076	.351	21	4	.296	84	-6	-0	-8	+4	+10	-0.1
2022	28	MLB	Detroit Tigers	443	420	114	21	2	7	17	79	1	0	1	.271	.301	.381	.682	.110	.318	18	4	.301	89	-6	-0	-11	-10	+13	-1.4
2022	28	INTL	Leones del Caracas	103	99	37	1	0	0	2	12	2	2	2	.374	.398	.384	.782	.010	.425	12	2	.357	131	+4	-0	—	—	+3	0.6
2023	29	MLB	Colorado Rockies	270	258	65	13	0	1	9	66	0	1	0	.252	.277	.314	.591	.062	.332	24	3	.264	60	-12	+0	-4	+1	+8	-0.7
2023	29	INTL	Leones del Caracas	148	130	41	4	2	5	11	19	3	4	0	.315	.382	.492	.874	.177	.327	13	7	.377	147	+8	+1	—	—	+4	1.3
2024	30	INTL	Leones del Caracas	213	193	64	10	1	15	16	41	4	6	3	.332	.394	.627	1.021	.295	.358	19	8	.442	196	+23	+0	—	—	+6	3.0
2025	31	AAA	Omaha Storm Chasers	403	368	113	18	2	21	26	78	2	7	2	.307	.356	.538	.894	.231	.339	19	6	.384	152	+24	+1	—	—	+11	3.6
2025	31	INTL	Leones del Caracas	200	187	62	10	0	6	8	46	1	2	2	.332	.362	.481	.844	.150	.406	23	4	.366	139	+9	-0	—	—	+6	1.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1475	1396	388	61	7	16	54	314	2	6	4	.278	.306	.366	.672	.088	.345	21	4	.296	85	-25	-0	-29	-3	+42	-1.6

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
Harold Castro (OGILVIE)	32	60	60	50	35	.249/.289/.388	.140	.304	9	5	24%	5%	89	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adonis García 2017 · MLB	32	54→56	48→50	46→50	42	.269/.301/.409	.140	.301	15	7	17%	4%	98	+1.6	.247/.289/.380	.133	.279	15	10	17%	4%	86	+0.8	.213/.260/.317	.104	.242	13	15	18%	4%	57	-0.5
✕Mike Freeman 2020 · MLB	32	49→59	43→45	46→55	45	.236/.299/.345	.109	.309	11	10	27%	7%	81	+0.4	.225/.298/.342	.117	.301	12	8	27%	9%	80	+0.4	.196/.280/.296	.100	.264	10	6	28%	10%	56	-0.6
✕Greg Dobbs 2011 · MLB	33	46→56	50→55	48→50	47	.237/.287/.389	.152	.267	18	8	19%	6%	88	+0.9	.252/.297/.367	.115	.295	12	5	18%	6%	85	+0.7	.260/.307/.357	.097	.304	9	3	17%	6%	77	+0.1
✕Rob Brantly 2022 · MLB	33	50→56	46→50	49→30	46	.247/.313/.375	.128	.281	14	5	18%	6%	95	+1.4	.233/.300/.335	.102	.280	9	5	19%	5%	79	+0.3	.225/.295/.310	.085	.274	6	1	19%	5%	68	-0.1
✕Didi Gregorius 2022 · MLB	32	46→55	53→60	47→50	48	.237/.293/.408	.171	.246	21	6	15%	6%	95	+1.4	.215/.277/.344	.129	.238	13	6	16%	6%	72	-0.2	.186/.248/.281	.095	.212	6	3	15%	5%	41	-0.7
✕Brennan Boesch 2016 · MLB	31	48→55	48→55	48→50	40	.241/.279/.385	.144	.303	16	9	26%	5%	83	+0.6	.228/.269/.351	.123	.280	14	9	23%	5%	70	-0.3	.199/.235/.302	.103	.226	13	6	19%	4%	42	-0.6
✕Mario Lisson 2016 · AAA	32	47→49	49→55	47→55	43	.238/.297/.379	.141	.297	18	9	26%	6%	90	+1.0	.223/.292/.362	.139	.297	16	8	29%	8%	83	+0.6	.205/.284/.348	.143	.274	17	6	30%	9%	74	-0.0
✕Johnny Monell 2018 · MLB	32	47→44	46→50	48→45	45	.235/.285/.360	.125	.279	14	7	21%	6%	79	+0.3	.226/.277/.348	.122	.310	11	7	29%	6%	72	-0.2	.222/.274/.335	.114	.321	6	0	31%	6%	66	-0.2
✕Kevan Smith 2020 · MLB	32	54	44→50	49→40	47	.262/.314/.378	.116	.296	12	5	16%	6%	96	+1.5	.234/.305/.355	.121	.292	12	7	23%	8%	87	+0.8	.163/.242/.193	.030	.240	0	0	29%	9%	2	-0.9
✕Michael A. Taylor 2023 · MLB	32	48→51	46→55	46→60	45	.240/.298/.361	.121	.304	15	10	26%	7%	85	+0.7	.224/.283/.382	.158	.299	20	16	31%	7%	85	+0.7	.205/.265/.377	.173	.279	22	20	34%	7%	74	-0.1
✕Joe Thurston 2012 · MLB	32	49→58	45	47→50	47	.239/.299/.366	.127	.276	12	10	18%	6%	87	+0.8	.235/.299/.350	.115	.275	11	11	18%	7%	82	+0.5	.244/.311/.336	.092	.284	8	10	16%	8%	80	+0.3
✕Nick Martini 2023 · MLB	33	48→58	47→55	46→45	48	.237/.318/.372	.135	.301	15	7	25%	8%	97	+1.5	.231/.312/.396	.165	.282	19	3	24%	9%	101	+1.8	.218/.306/.374	.155	.263	17	0	23%	9%	90	+0.7
●Cory Aldridge 2012 · AAA	33	47→51	52→55	46→45	39	.240/.284/.406	.166	.316	20	5	31%	6%	91	+1.1	.215/.271/.385	.170	.313	24	8	37%	7%	81	+0.4	.218/.283/.396	.178	.295	28	5	35%	8%	87	+0.4
✕Kevin Pillar 2021 · MLB	32	51→59	52→55	50→55	43	.258/.295/.429	.171	.281	19	13	16%	4%	102	+1.8	.245/.292/.430	.185	.274	23	10	20%	5%	102	+1.8	.231/.277/.423	.192	.256	26	8	22%	4%	92	+0.5
✕Tim Federowicz 2019 · MLB	31	47→49	47→50	49→40	42	.236/.285/.371	.136	.302	15	5	27%	6%	82	+0.5	.209/.262/.340	.131	.279	15	6	30%	7%	64	-0.8	.166/.219/.275	.108	.223	15	2	32%	6%	28	-1.3
✕Jason Krizan 2022 · AAA	33	50→57	49→55	48→45	49	.250/.301/.398	.148	.276	16	4	17%	7%	95	+1.4	.235/.283/.388	.153	.273	16	5	20%	6%	85	+0.7	.217/.267/.386	.169	.247	18	1	20%	6%	75	-0.0
✕Brett Nicholas 2018 · MLB	30	48→50	46→50	43→40	40	.238/.278/.366	.128	.294	14	4	24%	5%	78	+0.2	.229/.277/.362	.133	.287	14	5	25%	5%	76	+0.1	.217/.270/.348	.131	.269	15	1	25%	6%	66	-0.5
✕Gerardo Parra 2019 · MLB	32	54→62	43→50	44→55	46	.264/.309/.377	.112	.306	11	10	17%	6%	93	+1.3	.244/.307/.366	.122	.290	13	12	20%	7%	90	+1.0	.222/.292/.345	.123	.269	13	12	22%	8%	73	-0.0
✕Corey Dickerson 2021 · MLB	32	54→60	52→65	48→50	46	.273/.315/.448	.175	.305	18	6	18%	6%	115	+2.8	.258/.306/.392	.134	.301	13	6	18%	6%	96	+1.5	.260/.304/.377	.118	.305	10	4	18%	5%	89	+0.4
✕Nick Buss 2018 · MLB	31	51→58	43→50	52→55	44	.247/.290/.370	.123	.296	9	13	20%	5%	83	+0.6	.232/.281/.350	.118	.290	10	12	23%	5%	75	-0.0	.195/.248/.276	.081	.254	6	11	25%	5%	40	-0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)