Enderson Delgado

Enderson DelgadoC FCL Tigers

Age 21 S/R 5'10" / 184 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION196 act + 19 ros · stats below = ROS only

showingROS

wRC+†49

AVG/OBP/SLG.176 / .263 / .235

PA19

HR0

K%26

BB%5

BABIP224

ISO59

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus

Tools · ContractCON 38 / POW 43

Toolsscout grade

CONTACT38

scouting grade only

POWER43

scouting grade only

EYE52

scouting grade only

SPEED48

scouting grade only

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	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$3M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.5M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2022	17	ROK	DSL Rays	—	119	101	22	3	0	0	11	21	6	2	2	218	331	248	578	30	272	18	9	278	75	-4	-0	—	—	+3	-0.1
2023	18	A	Charleston RiverDogs	—	35	29	3	2	0	0	3	11	3	0	0	103	257	172	430	69	167	31	9	222	36	-3	+0	—	—	+1	-0.2
2023	18	ROK	FCL Rays	—	151	129	21	2	2	3	19	36	3	1	1	163	285	279	564	116	200	24	13	266	66	-6	-0	—	—	+3	-0.3
2024	19	A	Charleston RiverDogs	—	235	192	49	14	0	4	28	54	12	1	1	255	384	391	774	135	333	23	12	352	124	+7	-0	—	—	+5	1.2
2024	19	ROK	FCL Rays	—	34	28	8	3	1	0	4	5	1	0	0	286	394	464	858	179	333	15	12	371	137	+2	+0	—	—	+1	0.2
2024	19	INTL	Perth Heat	—	112	93	19	1	0	2	11	28	5	0	0	204	321	280	601	75	258	25	10	279	75	-3	+0	—	—	+2	-0.1
2025	20	A	Lakeland Flying Tigers	—	122	102	17	1	0	2	13	32	4	0	0	167	286	235	521	69	211	26	11	247	53	-7	+0	—	—	+3	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Rays	—	119	106	17	2	0	0	6	31	6	2	2	160	246	179	425	19	214	26	5	194	17	-12	-0	—	—	+3	-1.0
2023	18	A MLE	Charleston RiverDogs	—	35	30	2	1	0	0	2	16	3	0	0	67	200	100	300	33	144	46	6	157	-8	-4	+0	—	—	+1	-0.4
2023	18	ROK MLE	FCL Rays	—	151	136	14	1	1	2	12	52	3	1	1	103	192	169	361	66	149	34	8	177	6	-17	-0	—	—	+3	-1.4
2024	19	A MLE	Charleston RiverDogs	—	235	203	41	11	0	4	17	78	12	1	1	202	302	315	617	113	289	33	7	271	70	-9	-0	—	—	+5	-0.4
2024	19	ROK MLE	FCL Rays	—	34	30	6	2	1	0	2	7	1	0	0	200	273	333	606	133	255	21	6	273	71	-1	+0	—	—	+1	-0.0
2025	20	A MLE	Lakeland Flying Tigers	—	122	105	13	1	0	2	10	46	4	0	0	124	227	190	417	67	176	38	8	199	21	-11	+0	—	—	+3	-0.9
2022	17	ROK MLE	DSL Rays	—	119	106	17	2	0	0	6	31	6	2	2	160	246	179	425	19	224	26	5	194	17	—	—	—	—	—	—
2022	17	ROK RAW	DSL Rays	—	119	101	22	3	0	0	11	21	6	2	2	218	331	248	578	30	272	18	9	278	17	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	186	166	17	3	1	2	14	68	6	1	1	102	199	169	368	66	156	37	8	173	3	—	—	—	—	—	—
2023	18	ROK RAW	2 teams	—	186	158	24	4	2	3	22	47	6	1	1	152	280	259	539	108	194	25	12	258	3	—	—	—	—	—	—
2024	19	A MLE	3 teams	—	381	329	67	19	1	6	27	121	18	1	1	204	299	322	622	119	295	32	7	271	70	—	—	—	—	—	—
2024	19	A RAW	3 teams	—	381	313	76	18	1	6	43	87	18	1	1	243	366	364	731	121	311	23	11	332	70	—	—	—	—	—	—
2025	20	A MLE	Lakeland Flying Tigers	—	122	105	13	1	0	2	10	46	4	0	0	124	227	190	417	67	183	38	8	199	21	—	—	—	—	—	—
2025	20	A RAW	Lakeland Flying Tigers	—	122	102	17	1	0	2	13	32	4	0	0	167	286	235	521	69	211	26	11	247	21	—	—	—	—	—	—
2022	17	ROK MLE	DSL Rays	—	119	106	17	2	0	0	6	31	6	2	2	160	246	179	425	19	214	26	5	194	17	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	186	164	17	3	1	2	14	68	6	1	1	104	199	171	370	67	148	37	8	173	3	—	—	—	—	—	—
2024	19	A MLE	3 teams	—	381	333	67	19	1	6	27	121	18	1	1	201	299	318	618	117	285	32	7	271	70	—	—	—	—	—	—
2025	20	A MLE	Lakeland Flying Tigers	—	122	107	13	1	0	2	10	46	4	0	0	121	227	187	414	65	176	38	8	199	21	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	2 teams	—	186	164	17	3	1	2	14	68	6	1	1	104	199	171	370	67	148	37	8	173	3	—	—	—	—	—	—
2024	19	A MLE	3 teams	—	381	333	67	19	1	6	27	121	18	1	1	201	299	318	618	117	285	32	7	271	70	—	—	—	—	—	—
2025	20	A MLE	Lakeland Flying Tigers	—	122	107	13	1	0	2	10	46	4	0	0	121	227	187	414	65	176	38	8	199	21	—	—	—	—	—	—
YTD	21	ROK MLE	DET	—	196	175	32	6	0	2	13	48	6	2	0	183	263	251	514	69	236	24	7	231	43	-13	+0	+0	+4	+4	-0.5
▸ 2026 season
YTD	21	ROK RAW	DET	—	117	97	24	2	0	3	13	15	5	0	0	247	365	361	726	113	259	13	11	331	43	—	—	—	—	—	—
YTD	21	A RAW	DET	—	56	50	12	4	0	0	5	12	1	1	0	240	321	320	641	80	316	21	9	296	43	—	—	—	—	—	—
YTD	21	A+ RAW	DET	—	23	22	4	1	0	0	1	7	0	1	0	182	217	227	445	45	267	30	4	204	43	—	—	—	—	—	—
ROS	21	ROK MLE	DET	0%	19	17	3	1	0	0	1	5	1	0	0	176	263	235	498	59	227	26	5	240	49	-1	+0	+0	+0	+0	-0.0
TOT	21	ROK MLE	DET	—	215	192	35	7	0	2	14	53	7	2	0	182	263	250	513	68	237	25	7	232	43	-15	+0	+0	+4	+5	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	DET	34%	257	229	42	8	1	5	19	68	7	2	0	183	267	293	559	109	234	26	7	254	58	-13	+0	+0	+5	+6	-0.2
2028	23	MLB MLE	DET	48%	355	316	59	11	1	7	27	91	9	2	1	187	270	294	564	108	239	26	8	263	64	-15	+0	+0	+6	+8	-0.1
2029	24	MLB MLE	DET	53%	422	375	73	14	1	9	33	107	11	3	1	195	279	309	589	115	243	25	8	269	68	-16	+0	+0	+8	+9	0.1
2030	25	MLB MLE	DET	55%	457	407	79	15	1	10	36	115	11	3	1	194	278	310	587	115	244	25	8	272	70	-16	+0	+0	+8	+10	0.2
2031	26	MLB MLE	DET	56%	479	426	83	16	1	11	38	121	12	3	1	195	279	315	594	120	244	25	8	273	71	-17	+0	+0	+9	+10	0.2
2032	27	MLB MLE	DET	55%	486	432	84	16	1	11	39	123	12	3	1	194	280	312	592	118	244	25	8	273	71	-17	+0	+0	+9	+11	0.3
2033	28	MLB MLE	DET	55%	487	432	84	16	1	11	40	124	12	3	1	194	281	312	593	118	243	25	8	272	70	-17	+0	-1	+9	+11	0.1
2034	29	MLB MLE	DET	53%	480	426	82	15	1	11	39	123	12	3	1	192	279	310	589	117	242	26	8	270	69	-18	+0	-1	+9	+10	-0.0
2035	30	MLB MLE	DET	53%	471	417	80	15	1	10	39	122	12	2	1	192	280	305	584	113	241	26	8	267	67	-19	+0	-2	+8	+10	-0.2
2027	22	MLB CTX	DET	34%	88	79	15	3	0	2	7	23	2	1	0	190	273	304	577	114	230	26	8	230	58	-4	+0	+0	+2	+2	-0.1
2028	23	MLB CTX	DET	48%	172	153	27	5	0	3	13	44	4	1	0	176	259	268	527	92	235	26	8	240	64	-7	+0	+0	+3	+4	-0.0
2029	24	MLB CTX	DET	53%	223	198	38	7	1	5	17	57	6	1	0	192	276	313	589	121	238	26	8	246	68	-8	+0	+0	+4	+5	0.1
2030	25	MLB CTX	DET	55%	250	222	43	8	1	5	20	63	6	2	0	194	278	306	585	113	240	25	8	249	70	-9	+0	+0	+4	+5	0.1
2031	26	MLB CTX	DET	56%	267	237	47	9	1	6	21	67	7	2	0	198	283	321	604	122	240	25	8	250	71	-9	+0	+0	+5	+6	0.2
2032	27	MLB CTX	DET	55%	267	237	46	9	1	6	21	67	7	2	0	194	279	316	596	122	239	25	8	250	71	-9	+0	+0	+5	+6	0.2
2033	28	MLB CTX	DET	55%	266	235	45	8	1	6	22	68	7	2	0	191	280	311	591	119	239	26	8	249	70	-9	+0	-0	+5	+6	0.1
2034	29	MLB CTX	DET	53%	256	227	43	8	1	5	21	65	6	1	0	189	276	300	575	110	238	25	8	247	69	-9	+0	-1	+5	+6	0.0
2035	30	MLB CTX	DET	53%	248	220	42	8	1	5	20	64	6	1	0	191	276	305	581	114	236	26	8	245	67	-10	+0	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2037	1808	346	65	7	43	162	518	51	13	0	191	277	306	583	115	241	25	8	247	63	-76	+3	-2	+36	+44	0.5
/ 162G	—	A+C		—	650	577	111	21	2	14	52	165	16	4	0	192	278	308	586	116	242	25	8	247	63	-24	+1	-1	+12	+14	0.1
Career	—	MLE		—	4721	4183	783	152	11	95	368	1265	133	28	12	187	274	297	571	110	241	27	8	262	63	-149	+2	-4	+70	+85	0.4
/ 162G	—	MLE		—	650	576	108	21	2	13	51	174	18	4	2	188	275	299	573	111	242	27	8	262	63	-25	+0	-1	+12	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.3	2,180	47	14	193	275	308	+39	+24	1.6	1.7
/162	664	14	4	+11.9	+7.3	0.5	pk7: 2
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -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
Enderson Delgado (OGILVIE)	21	33→38	38→43	43→48	52	170/256/254	84	227	2	1	27%	7%	49	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕John Tolisano 2010 · A	21	38→46	43→45	46→50	45	194/255/306	112	251	11	5	27%	8%	58	-1.7	202/265/326	124	272	12	9	29%	8%	66	-1.1	202/268/330	129	264	12	12	27%	8%	65	-0.8
✕Marcus Littlewood 2013 · A	21	40	40→45	48→45	41	198/249/288	90	271	8	7	29%	6%	51	-2.2	198/267/305	107	269	9	5	28%	8%	62	-1.4	204/271/311	107	262	9	4	25%	8%	63	-0.7
✕Jose Herrera 2018 · A	21	42	39→40	44→40	45	203/251/288	85	249	6	3	21%	6%	52	-2.2	203/268/290	87	267	6	4	25%	8%	59	-1.6	210/292/298	88	277	8	3	26%	10%	69	-0.5
✕Jose Marquez 2019 · A	21	43	42→50	48→50	39	212/256/319	107	280	8	7	27%	5%	61	-1.5	211/260/312	101	308	9	8	33%	5%	61	-1.5	129/202/216	87	206	15	12	43%	7%	16	-0.8
✕Alejandro Flores 2016 · A	20	37	39→50	45→40	43	182/248/265	83	263	7	5	32%	8%	46	-2.6	201/260/300	99	294	8	6	32%	7%	58	-1.7	200/255/329	129	272	11	4	29%	6%	60	-0.8
✕Arquímedes Gamboa 2019 · A	21	41→45	37→40	48→50	44	198/260/271	72	274	5	7	28%	7%	51	-2.2	184/259/260	76	272	5	14	31%	9%	49	-2.4	199/285/288	89	292	7	15	31%	10%	63	-0.8
✕Andrick Nava 2023 · A	21	43	42→40	50→30	44	212/265/313	101	275	9	6	26%	7%	63	-1.4	204/271/290	86	268	7	4	25%	8%	60	-1.6	190/264/259	69	249	5	1	24%	9%	49	-0.8
✕Adrian Nieto 2011 · A	21	40→47	36→45	45→40	44	191/257/253	62	266	4	4	28%	7%	47	-2.6	208/268/310	102	295	9	4	31%	7%	64	-1.3	219/283/333	114	299	11	3	29%	8%	73	-0.3
✕C.J. Beatty 2010 · A	21	40	42→45	52→40	41	198/253/297	98	278	9	9	31%	7%	55	-2.0	209/270/324	115	297	9	5	31%	7%	68	-1.0	202/267/332	130	282	11	2	30%	8%	65	-0.7
✕Jhoan Urena 2017 · A	22	40→48	41→45	46→45	44	200/253/299	99	256	9	3	26%	6%	55	-1.9	215/272/331	116	305	11	7	31%	7%	70	-0.8	212/269/328	116	306	11	6	33%	7%	65	-1.1
✕Taylor Gushue 2016 · A	22	40	39→45	45→30	39	197/240/286	89	262	6	4	27%	4%	47	-2.5	189/238/296	107	255	12	2	30%	5%	49	-2.4	199/260/327	128	276	15	0	32%	7%	64	-0.6
✕Jonathan Araúz 2020 · AA	21	40→38	42→45	43→45	44	198/251/304	106	246	10	6	24%	6%	55	-1.9	206/263/303	97	258	10	6	23%	7%	60	-1.6	187/255/290	103	228	12	3	23%	8%	53	-1.2
✕Rey Duran 2009 · A	20	36	41→50	49→40	41	183/243/277	94	256	9	6	31%	6%	47	-2.5	213/267/338	125	268	14	5	25%	6%	70	-0.8	210/263/349	139	246	19	2	23%	5%	69	-0.4
✕Sean Rooney 2008 · A	22	42	39→40	47→30	43	204/248/289	85	252	7	6	22%	5%	51	-2.3	237/275/325	88	301	5	3	22%	5%	68	-1.0	236/274/327	90	299	6	2	22%	5%	66	-0.6
✕Chace Numata 2014 · A	21	45	39→40	48→40	46	215/267/294	79	253	6	6	18%	6%	59	-1.6	231/282/306	75	280	4	5	18%	6%	68	-1.0	248/299/321	72	292	3	2	15%	6%	75	-0.3
✕Ben Rortvedt 2019 · A	21	44	39→45	49→40	42	212/262/296	84	275	6	3	25%	6%	58	-1.7	212/271/317	105	283	10	3	27%	6%	67	-1.1	199/285/301	102	280	11	2	31%	10%	67	-0.4
✕Gilberto Vizcarra 2019 · A	20	35	38→45	47→40	46	171/243/241	71	215	6	3	23%	7%	40	-3.1	206/263/285	79	260	5	4	22%	6%	56	-1.9	227/270/319	92	275	7	1	19%	4%	65	-0.4
✕Jose Gil 2008 · A	21	40	41→45	43→45	41	201/245/294	92	258	10	4	26%	5%	51	-2.2	208/246/303	95	271	8	7	26%	4%	53	-2.1	213/262/333	120	261	13	3	23%	5%	64	-0.5
✕Abrahan Gutierrez 2021 · A	21	44→43	39→45	46→40	43	214/262/293	80	273	7	6	24%	6%	57	-1.8	225/298/328	103	300	8	4	26%	8%	80	-0.2	218/296/319	101	289	9	2	26%	8%	74	-0.3
✕Alexis Wilson 2018 · A	21	41	38→40	49→30	47	194/262/279	84	249	5	3	23%	7%	55	-2.0	210/266/295	85	275	7	4	25%	6%	59	-1.6	224/269/304	80	272	10	1	21%	5%	59	-0.6

Career Stats + Projections

Career Comps

Career Path Comps