Diego Castillo — OGILVIE

Diego CastilloSS Omaha Storm Chasers

Age 28 R/R 5'11" / 185 lbs AAA HR -5%BB +4% Svc 4.000 · Ctrl thru 2027 peak 0.9 · 2026

wRC+†87

AVG/OBP/SLG.233 / .309 / .349

PA313

HR6

SB5

K%20

BB%10

MLB%10%

Scouting · now → future

HIT

55→55

PWR

45→45

SPD

45→45

EYE

52↘50

trajectory · 10 yrs

0.7peak

2026

Contract

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

Status Arb-2

MLB Debut 2022

Service 4.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-2	$3M	+0.9	$4M	+$0.6M
2027	Arb-3	$4M	+0.8	$3M	+$0.0M (cut)
Totals		$6M		$7M	+$0.6M

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
2015	17	ROK	DSL Yankees 1	262	246	64	8	6	0	9	42	2	5	1	.260	.292	.341	.633	.081	.309	16	3	.272	66	-10	+1	+0	+3	+7	0.1
2016	18	ROK	GCL Yankees West	184	170	37	5	0	1	9	30	3	5	3	.218	.269	.265	.534	.047	.255	16	5	.234	37	-13	-0	+0	+2	+5	-0.6
2017	19	A	Charleston RiverDogs	510	476	113	12	3	1	18	69	1	9	5	.237	.267	.282	.548	.044	.275	14	4	.236	39	-35	-0	+0	+5	+14	-1.6
2018	20	A+	Tampa Tarpons	514	477	117	21	2	2	22	66	3	11	4	.245	.283	.310	.593	.065	.279	13	4	.255	53	-27	+1	+0	+6	+15	-0.7
2019	21	A+	Tampa Tarpons	456	425	87	17	2	4	24	70	5	13	3	.205	.256	.282	.538	.078	.236	15	5	.234	37	-32	+1	+0	+5	+13	-1.3
2021	23	AA	2 teams	440	404	98	22	0	18	28	72	4	9	5	.243	.298	.431	.729	.188	.252	16	6	.315	99	-0	-0	+0	+5	+12	1.7
2022	24	MLB	3 teams	524	484	100	22	0	17	28	139	6	3	2	.207	.259	.357	.616	.151	.249	27	5	.267	63	-22	-0	-2	+6	+15	-0.4
2023	25	AAA	Reno Aces	556	488	128	27	1	2	63	106	0	13	10	.262	.347	.334	.681	.072	.328	19	11	.308	94	-4	-1	+0	+6	+16	1.7
2024	26	AAA	2 teams	546	485	110	23	2	9	51	98	4	13	4	.227	.306	.338	.644	.111	.264	18	9	.287	78	-14	+1	+0	+2	+15	0.5
2025	27	AAA	2 teams	300	272	59	9	0	7	24	69	2	0	4	.217	.285	.327	.612	.110	.263	23	8	.266	62	-13	-2	+0	+3	+8	-0.3
▸ 2026 Season
2026	28	MLB	KC	313	279	66	13	1	6	30	62	1	5	3	.237	.313	.355	.668	.118	.278	20	10	.300	87	-4	-0	+1	+3	+9	0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	29	MLB 20%	KC	336	300	69	13	1	6	32	67	1	5	3	.230	.306	.340	.646	.110	.277	20	10	.298	86	-5	-0	-0	+4	+10	0.8
2028	30	MLB 33%	KC	350	312	73	14	1	7	34	71	1	4	3	.234	.311	.353	.664	.119	.276	20	10	.295	84	-6	-0	-1	+4	+10	0.6
2029	31	MLB 43%	KC	335	299	68	13	1	6	32	70	1	3	2	.227	.304	.338	.642	.110	.275	21	10	.291	81	-7	-0	-1	+4	+9	0.4
2030	32	MLB 52%	KC	316	282	63	12	1	5	30	68	1	1	2	.223	.300	.326	.627	.103	.274	22	9	.286	77	-8	-1	-2	+3	+9	0.1
2031	33	MLB 64%	KC	286	256	57	11	1	4	27	63	1	0	1	.223	.299	.320	.620	.098	.272	22	9	.281	73	-9	-0	-3	+3	+8	-0.1
2032	34	MLB 73%	KC	243	217	46	9	0	3	23	56	1	0	1	.212	.290	.295	.585	.083	.271	23	9	.274	68	-9	-0	-4	+3	+7	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			6471	5872	1355	251	22	98	484	1218	37	99	56	.231	.293	.331	.625	.100	.273	19	7	.277	70	-220	-3	-12	+65	+183	1.5
/ 162G	—			650	590	136	25	2	10	49	122	4	10	6	.231	.294	.331	.625	.100	.273	19	8	.277	70	-22	-0	-1	+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
2015	17	ROK	DSL Yankees 1	262	239	79	11	8	0	16	29	2	5	1	.331	.377	.444	.821	.113	.371	11	6	.359	133	+10	+1	—	—	+7	1.8
2016	18	ROK	GCL Yankees West	184	165	44	7	0	1	14	21	3	5	3	.267	.335	.327	.662	.061	.297	11	8	.302	90	-2	-0	—	—	+5	0.3
2017	19	A	Charleston RiverDogs	510	463	122	15	3	1	31	51	1	9	5	.263	.311	.315	.626	.052	.293	10	6	.278	71	-17	-0	—	—	+14	-0.3
2018	20	A+	Tampa Tarpons	514	469	122	20	2	2	30	47	3	11	4	.260	.309	.324	.633	.064	.284	9	6	.282	74	-15	+1	—	—	+15	0.0
2019	21	A+	Tampa Tarpons	456	416	103	18	2	4	33	49	5	13	3	.248	.311	.329	.640	.082	.272	11	7	.291	81	-10	+1	—	—	+13	0.5
2021	23	AAA	Indianapolis Indians	70	54	15	3	0	3	13	13	1	0	0	.278	.426	.500	.926	.222	.300	19	19	.401	165	+5	+0	—	—	+2	0.7
2021	23	AA	Altoona Curve	370	334	93	21	0	16	31	43	3	9	5	.278	.345	.485	.830	.207	.279	12	8	.364	137	+15	-0	—	—	+10	2.6
2022	24	MLB	Pittsburgh Pirates	283	262	54	13	0	11	14	75	3	1	1	.206	.254	.382	.636	.176	.239	27	5	.278	71	-9	-0	-2	+6	+8	0.2
2022	24	AAA	Indianapolis Indians	151	134	33	6	0	3	14	33	3	2	1	.246	.331	.358	.689	.112	.306	22	9	.315	100	-0	+0	—	—	+4	0.4
2022	24	INTL	Caribes de Anzoategui	90	76	26	4	1	4	12	10	0	0	0	.342	.432	.579	1.011	.237	.344	11	13	.431	188	+9	+0	—	—	+3	1.2
2023	25	AAA	Reno Aces	556	454	142	33	1	3	97	79	0	13	10	.313	.434	.410	.843	.097	.370	14	17	.383	151	+32	-1	—	—	+16	4.7
2024	26	AAA	St. Paul Saints	470	398	104	23	2	9	63	70	4	13	4	.261	.368	.397	.765	.136	.293	15	13	.344	122	+11	+1	—	—	+13	2.6
2024	26	INTL	Navegantes del Magallanes	76	65	18	3	0	1	10	11	0	0	0	.277	.373	.369	.743	.092	.321	14	13	.337	116	+1	+0	—	—	+2	0.4
2025	27	AAA	Omaha Storm Chasers	263	233	61	10	0	7	29	51	0	0	3	.262	.344	.395	.738	.133	.307	19	11	.333	113	+4	-1	—	—	+7	1.0
2025	27	INTL	Navegantes del Magallanes	37	30	6	0	0	1	4	5	2	0	1	.200	.333	.300	.633	.100	.200	14	11	.294	83	-1	-0	—	—	+1	-0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			283	262	54	13	0	11	14	75	3	1	1	.206	.254	.382	.636	.176	.239	27	5	.278	71	-9	-0	-2	+6	+8	0.2

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
Diego Castillo (OGILVIE)	28	55	45	45	50	.233/.309/.349	.116	.278	6	5	20%	10%	87	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chris Nelson 2013 · MLB	27	52→58	46→50	46→50	43	.257/.301/.389	.133	.310	13	7	22%	6%	93	+1.3	.241/.289/.355	.114	.306	11	6	24%	6%	79	+0.3	.226/.276/.324	.098	.285	9	5	23%	6%	63	-0.5
✕Pedro Severino 2021 · MLB	28	46→50	49→50	48→45	49	.235/.302/.377	.142	.276	17	5	22%	8%	91	+1.1	.243/.304/.377	.134	.309	15	6	25%	8%	92	+1.2	.231/.290/.354	.123	.297	14	6	26%	7%	76	+0.0
✕John Hester 2012 · MLB	28	48	45→55	43→50	43	.234/.286/.359	.125	.303	12	8	26%	6%	79	+0.3	.205/.263/.320	.115	.288	12	5	32%	7%	59	-1.1	.188/.247/.298	.110	.271	12	4	34%	7%	46	-0.9
✕Rob Johnson 2010 · MLB	28	48→52	41→45	41→50	47	.233/.286/.338	.104	.277	8	7	19%	6%	73	-0.1	.214/.284/.322	.108	.268	9	6	22%	8%	69	-0.4	.196/.269/.293	.097	.245	8	5	22%	8%	50	-0.7
✕Jason Donald 2013 · MLB	28	51→55	42→45	50	44	.244/.305/.353	.108	.314	8	14	24%	6%	85	+0.7	.216/.263/.316	.100	.303	8	9	30%	5%	58	-1.2	.193/.231/.278	.084	.285	5	6	33%	4%	31	-1.3
✕Matt Szczur 2018 · MLB	29	48→56	46→45	47→55	52	.238/.315/.371	.133	.282	13	12	20%	9%	95	+1.4	.232/.307/.370	.138	.284	13	7	22%	9%	91	+1.1	.205/.261/.347	.142	.253	16	4	26%	7%	65	-0.2
✕Cord Phelps 2015 · MLB	28	48→58	44→50	43→45	50	.233/.296/.357	.123	.275	11	7	20%	8%	82	+0.5	.218/.278/.303	.085	.269	7	7	21%	8%	61	-1.0	.203/.264/.253	.049	.255	4	6	21%	8%	40	-1.8
✕Christian Lopes 2021 · AAA	28	45→51	44→45	47→50	50	.221/.297/.341	.120	.272	12	14	23%	8%	80	+0.4	.210/.289/.335	.125	.304	12	11	32%	8%	76	+0.0	.189/.277/.305	.116	.284	11	9	35%	9%	61	-0.3
✕Jamie Ritchie 2021 · AAA	28	49→53	42→40	49→45	48	.233/.307/.341	.107	.305	8	7	25%	8%	84	+0.6	.237/.316/.324	.087	.301	6	5	21%	9%	83	+0.6	.233/.321/.292	.060	.298	4	2	21%	10%	75	-0.0
●Brandon Inge 2005 · MLB	28	48→56	48→55	44→45	47	.239/.299/.387	.148	.280	15	7	20%	7%	92	+1.2	.253/.318/.419	.166	.298	18	7	21%	8%	108	+2.3	.246/.316/.412	.166	.295	18	7	22%	8%	102	+1.9
✕Alberto Carreon 2016 · AAA	28	49→57	43→45	46→50	42	.238/.293/.350	.112	.292	10	8	22%	5%	80	+0.4	.241/.285/.336	.095	.297	7	10	20%	5%	72	-0.2	.248/.294/.327	.079	.302	5	9	19%	4%	71	-0.2
✕Steve Tolleson 2011 · MLB	27	52→53	44→45	48→50	48	.252/.308/.372	.121	.296	11	12	19%	7%	92	+1.2	.234/.296/.337	.103	.290	9	15	21%	8%	78	+0.2	.235/.301/.332	.097	.298	8	14	23%	8%	77	+0.1
✕Jeff Fiorentino 2011 · MLB	28	50→54	44→50	51→50	49	.245/.303/.363	.118	.294	10	15	20%	8%	87	+0.8	.225/.290/.353	.128	.271	12	10	21%	8%	79	+0.3	.216/.288/.345	.130	.258	13	8	21%	8%	76	+0.0
✕Elias Díaz 2020 · MLB	29	52→58	42→50	45	48	.254/.302/.357	.104	.293	10	3	17%	6%	85	+0.7	.239/.297/.374	.135	.272	15	3	18%	7%	88	+0.9	.235/.291/.378	.144	.273	17	0	20%	7%	85	+0.5
✕Jordy Mercer 2014 · MLB	27	51→58	47→50	43→45	45	.251/.302/.392	.142	.291	14	8	19%	6%	95	+1.4	.252/.305/.376	.124	.291	12	5	17%	7%	92	+1.2	.250/.320/.384	.135	.284	13	1	16%	8%	88	+0.8
✕Andrew Knizner 2022 · MLB	27	43	45→50	49→40	49	.215/.292/.335	.120	.252	13	6	20%	8%	76	+0.1	.217/.288/.330	.113	.269	12	4	23%	8%	73	-0.1	.225/.294/.342	.116	.277	13	3	22%	6%	77	+0.1
✕Matt Antonelli 2012 · AAA	27	48→52	45	45→50	50	.234/.301/.367	.132	.277	12	9	20%	8%	88	+0.9	.225/.295/.340	.115	.277	11	9	22%	8%	79	+0.3	.173/.261/.242	.070	.215	6	3	21%	9%	37	-0.8
✕Tim Olson 2006 · MLB	27	46	48→50	45→50	46	.231/.290/.377	.146	.281	15	12	23%	7%	86	+0.8	.226/.270/.358	.132	.293	14	12	27%	5%	72	-0.2	.208/.248/.323	.114	.277	14	12	30%	5%	51	-0.6
✕P.J. Higgins 2021 · AAA	28	46→55	41→45	44→40	45	.225/.281/.325	.100	.282	9	6	23%	7%	68	-0.5	.238/.305/.365	.127	.310	12	5	25%	8%	89	+0.9	.240/.299/.361	.121	.319	12	1	27%	7%	82	+0.4
✕Brent Abernathy 2006 · MLB	28	52→53	44→40	49→50	51	.252/.306/.365	.113	.268	12	14	12%	6%	89	+1.0	.245/.292/.322	.077	.277	7	17	14%	6%	71	-0.3	.241/.287/.297	.056	.276	4	19	13%	6%	59	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)