Diego Castellanos

Diego CastellanosOF Tampa Tarpons

Age 22 L/L A HR +14% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 89 proj PA

wRC+†81

AVG/OBP/SLG.229 / .295 / .338

PA89

HR2

K%24

BB%8

ISO110

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · Contract

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
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	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.4M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = actual YTD + projected ROS + total. 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2026	21	A	Tampa Tarpons	—	80	69	19	1	0	3	10	10	1	3	1	275	375	420	795	145	286	12	12	360	91	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A MLE	Tampa Tarpons	—	80	72	18	1	0	2	7	14	1	3	1	250	325	347	672	97	275	18	9	302	91	—	—	—	—	—	—
2026	21	A MLE	Tampa Tarpons	—	80	72	18	1	0	2	7	14	1	3	1	250	325	347	672	97	286	18	9	302	91	—	—	—	—	—	—
2026	21	A RAW	Tampa Tarpons	—	80	69	19	1	0	3	10	10	1	3	1	275	375	420	795	145	286	12	12	360	91	—	—	—	—	—	—
2026	21	A MLE	Tampa Tarpons	—	80	72	18	1	0	2	7	14	1	3	1	250	325	347	672	97	275	18	9	302	91	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	Tampa Tarpons	—	80	72	18	1	0	2	7	14	1	3	1	250	325	347	672	97	275	18	9	302	91	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	NYY	0%	190	172	40	5	1	4	14	46	2	4	1	231	297	341	638	110	290	24	7	288	81	-4	+0	+0	-1	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	NYY	34%	180	162	38	5	1	4	14	43	2	4	1	233	300	347	647	114	291	24	8	291	83	-4	+0	+0	-1	+4	-0.0
2029	24	MLB MLE	NYY	46%	292	264	62	8	1	7	23	70	3	7	2	235	302	353	655	118	292	24	8	294	85	-5	+1	+0	-2	+6	0.0
2030	25	MLB MLE	NYY	52%	361	327	76	10	2	8	28	86	3	8	2	236	303	357	660	121	292	24	8	296	87	-6	+1	+0	-2	+8	0.1
2031	26	MLB MLE	NYY	54%	406	367	87	12	2	10	32	96	4	9	2	236	304	359	663	123	291	24	8	298	88	-6	+1	+0	-2	+9	0.1
2032	27	MLB MLE	NYY	54%	426	385	91	13	2	10	34	101	4	10	2	236	304	359	663	124	291	24	8	298	88	-6	+1	+0	-3	+9	0.2
2033	28	MLB MLE	NYY	54%	436	395	92	13	2	10	34	105	4	10	2	234	301	354	656	121	290	24	8	295	86	-7	+1	-1	-3	+9	-0.0
2034	29	MLB MLE	NYY	53%	435	394	92	13	2	10	34	106	4	9	3	231	299	348	647	117	288	24	8	291	83	-9	+1	-1	-3	+9	-0.3
2035	30	MLB MLE	NYY	52%	430	390	89	12	2	9	33	106	4	9	3	228	295	340	635	112	286	25	8	286	80	-10	+1	-2	-3	+9	-0.5
2028	23	MLB CTX	NYY	34%	62	56	13	2	0	1	5	15	1	1	0	235	301	353	654	119	291	24	8	294	83	-1	+0	+0	-0	+1	-0.0
2029	24	MLB CTX	NYY	46%	135	123	29	4	1	3	10	32	1	3	1	236	303	359	662	123	292	24	7	297	85	-2	+0	+0	-1	+3	-0.0
2030	25	MLB CTX	NYY	52%	186	168	40	5	1	5	14	44	2	4	1	237	304	363	667	126	292	24	8	299	87	-3	+0	+0	-1	+4	0.0
2031	26	MLB CTX	NYY	54%	220	199	47	6	1	6	17	52	2	5	1	238	305	366	671	128	292	24	8	301	88	-3	+1	+0	-1	+5	0.1
2032	27	MLB CTX	NYY	54%	231	209	50	7	1	6	18	55	2	5	1	237	305	366	671	129	291	24	8	301	88	-3	+1	+0	-1	+5	0.1
2033	28	MLB CTX	NYY	54%	237	214	50	7	1	6	19	57	2	5	1	235	303	361	663	126	290	24	8	298	86	-4	+1	-0	-1	+5	-0.0
2034	29	MLB CTX	NYY	53%	231	209	49	7	1	6	18	56	2	5	1	233	300	354	654	122	289	24	8	294	83	-5	+1	-1	-1	+5	-0.1
2035	30	MLB CTX	NYY	52%	225	204	46	6	1	5	17	55	2	5	1	229	296	346	642	116	287	24	8	289	80	-5	+1	-1	-1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1527	1382	324	44	7	38	118	366	14	33	7	234	301	359	660	124	290	24	8	297	85	-27	+4	-2	-9	+33	-0.2
/ 162G	—	A+C		—	650	588	138	19	3	16	50	156	6	14	3	235	301	359	660	124	291	24	8	297	85	-12	+2	-1	-4	+14	-0.1
Career	—	MLE		—	3135	2837	663	89	14	72	246	749	30	71	18	234	302	351	653	117	291	24	8	294	85	-55	+7	-4	-18	+66	-0.5
/ 162G	—	MLE		—	650	588	137	18	3	15	51	155	6	15	4	233	301	350	651	117	290	24	8	294	85	-12	+1	-1	-4	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#3Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.4	1,616	37	36	234	298	354	-10	+0	0.9	0.9
/162	664	15	15	-4.0	+0.0	0.4	pk7: 1
#4Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#5Dylan Carlsonlast yr '25 career totals — 6 seasons, 1,987 PA	3.0	1,987	43	16	233	312	372	-9	-22	0.8	0.8
/162	664	14	5	-3.0	-7.4	0.3	pk7: 1
#6Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0

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 Castellanos (OGILVIE)	22	—	—	—	—	229/295/338	109	290	2	2	24%	8%	81	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Conner Capel 2019 · A	22	43→48	45	47→55	44	214/274/339	125	284	11	11	28%	7%	72	-0.7	217/269/335	118	286	12	10	27%	6%	70	-0.9	226/297/349	123	283	12	19	23%	8%	80	-0.1
✕Sam Hilliard 2016 · A	22	45→49	44→55	54→55	44	219/281/347	128	305	10	11	30%	8%	76	-0.4	211/262/318	107	335	10	18	38%	6%	63	-1.4	208/281/383	175	283	19	18	32%	9%	85	+0.2
✕Tyler Callihan 2022 · A	22	48→43	43→45	51→55	45	238/285/352	115	285	11	13	21%	6%	79	-0.2	214/266/323	109	292	9	18	28%	6%	65	-1.2	213/281/334	121	303	14	24	32%	8%	71	-0.4
✕Jordan Patterson 2015 · A	23	43→50	43→55	48→50	40	212/275/316	104	283	11	13	28%	5%	69	-0.9	228/288/373	145	315	14	11	31%	5%	86	+0.3	227/288/386	159	316	15	9	31%	5%	86	+0.3
✕Juan Silva 2013 · A	22	46→47	42→45	48→55	46	217/290/321	104	313	9	13	32%	9%	74	-0.5	228/306/330	102	307	8	24	26%	10%	82	+0.0	227/308/323	96	296	6	29	23%	10%	79	-0.1
✕Blake Tekotte 2010 · A	23	43→47	43→50	50→55	47	213/273/320	107	259	10	15	22%	7%	68	-1.0	222/284/369	147	288	16	21	27%	7%	84	+0.1	216/278/370	155	284	17	23	29%	7%	78	-0.2
✕Carlos Guzman 2008 · A	22	39→48	43→50	53→50	44	193/274/305	112	280	11	9	33%	8%	66	-1.1	225/272/334	109	314	11	8	30%	6%	70	-0.8	237/289/332	96	308	9	3	25%	6%	75	-0.3
✕Victor Mesa Jr. 2024 · AA	22	43→46	43→55	51→50	42	213/264/326	114	277	10	11	27%	6%	66	-1.1	230/284/377	147	283	17	11	24%	7%	85	+0.2	238/297/408	169	279	21	11	23%	7%	95	+0.5
●Ka'ai Tom 2018 · A	24	45→49	43→55	52→50	46	220/281/340	120	278	10	15	24%	7%	75	-0.5	233/296/390	157	299	16	10	26%	7%	93	+0.8	221/294/380	160	285	17	7	28%	7%	88	+0.3
✕Troy Montgomery 2017 · A	22	46→56	43→40	50	44	224/285/338	114	293	10	12	26%	7%	76	-0.4	231/297/327	96	311	7	13	26%	8%	78	-0.3	239/309/329	90	322	6	14	25%	9%	81	-0.1
✕Matthew Lugo 2023 · A	22	47→50	46→55	52→50	40	233/278/366	133	296	13	13	26%	5%	80	-0.2	225/274/372	147	307	15	14	30%	5%	80	-0.1	219/277/384	165	302	17	15	32%	6%	81	-0.1
✕Drew Vettleson 2013 · A	22	46→51	43→45	49→50	42	224/275/338	114	303	11	13	29%	6%	72	-0.7	220/263/327	107	303	8	8	29%	5%	65	-1.2	211/253/314	103	291	8	7	29%	5%	56	-1.1
✕Chris Meyers 2022 · A	23	40→46	41→50	51→40	45	197/266/297	101	258	8	11	26%	7%	61	-1.5	222/279/357	135	292	15	6	28%	6%	79	-0.2	226/286/369	143	292	17	3	28%	6%	81	-0.0
✕Forrest Wall 2018 · A	22	46→55	40→45	50→70	43	224/276/319	94	291	8	16	25%	6%	68	-1.0	221/281/330	109	307	9	19	29%	7%	73	-0.6	250/321/350	101	344	8	50	27%	8%	89	+0.3
✕Kyle Waldrop 2014 · A	22	43→53	46→50	49→50	38	219/254/352	134	282	13	11	28%	4%	68	-1.0	236/270/352	116	309	11	8	26%	4%	74	-0.6	241/274/347	105	312	9	6	25%	4%	72	-0.6
✕Matthew Spencer 2009 · A	23	47→49	45→50	51→45	40	232/279/357	125	300	13	9	27%	5%	78	-0.3	231/275/375	144	284	17	7	24%	5%	82	-0.0	223/267/372	148	269	18	7	24%	5%	76	-0.3
✕Yohendrick Pinango 2024 · A	22	45→54	41→50	50	43	218/262/310	92	269	8	11	22%	5%	61	-1.5	220/284/340	120	279	12	9	24%	8%	77	-0.3	223/292/355	132	284	14	7	25%	8%	81	-0.0
✕Andrew Aplin 2013 · A	22	43→53	44→40	48→55	41	218/255/335	117	263	12	12	22%	5%	64	-1.3	234/307/329	95	275	7	19	16%	9%	82	+0.0	242/322/328	86	285	6	23	16%	10%	87	+0.3
✕Ezequiel Pagan 2022 · A	22	44→54	42→45	52→50	39	218/265/326	108	279	9	9	25%	4%	66	-1.1	234/286/340	106	285	10	10	21%	5%	77	-0.3	229/282/328	99	275	10	12	20%	5%	71	-0.5
✕Josh Elander 2013 · A	22	44→50	43→50	50→45	47	217/286/333	116	262	10	7	21%	7%	76	-0.4	227/285/345	118	300	11	7	27%	7%	78	-0.3	228/284/354	125	302	13	8	28%	7%	77	-0.2

Career Stats + Projections

Career Comps

Career Path Comps