Enderson Delgado

Enderson DelgadoC Lakeland Flying Tigers

Age 21 S/R 5'10" / 184 lbs A HR +5%H +3% Svc 0.0 · Ctrl thru 2036 peak 2.2 · 2031

wRC+†74

AVG/OBP/SLG.204 / .287 / .329

PA120

HR3

K%31

BB%8

MLB%0%

Scouting · now → future

HIT

25↗30

PWR

39↗44

SPD

43↗48

EYE

48↗53

trajectory · 10 yrs

2.2peak

2031

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	+2.2	$20M	+$20M
2032	Ext / FA-deal	$0.9M	+2.2	$21M	+$20M
2033	Ext / FA-deal	$1.0M	+2.1	$21M	+$20M
2034	Ext / FA-deal	$4M	+1.9	$19M	+$15M
2035	Ext / FA-deal	$5M	+1.7	$18M	+$12M
2036	Ext / FA-deal	$6M	+1.4	$15M	+$9M
Totals		$18M		$114M	+$96M

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
2022	17	ROK	DSL Rays	119	106	17	2	0	0	6	31	6	2	2	.160	.246	.179	.425	.019	.224	26	5	.194	7	-13	-0	+0	+2	+3	-0.8
2023	18	ROK	2 teams	186	166	17	3	1	2	14	68	6	1	1	.102	.199	.169	.368	.066	.156	37	8	.174	-9	-23	-0	+0	+3	+5	-1.5
2024	19	A	3 teams	381	329	67	19	1	6	27	121	18	1	1	.204	.299	.322	.622	.119	.295	32	7	.270	65	-15	-0	+0	+7	+11	0.2
2025	20	A	Lakeland Flying Tigers	122	105	13	1	0	2	10	46	4	0	0	.124	.227	.190	.417	.067	.183	38	8	.198	10	-12	+0	+0	+2	+3	-0.7
▸ 2026 Season
2026	21	MLB	DET	120	106	22	4	1	3	10	37	3	2	1	.208	.294	.349	.643	.142	.283	31	8	.282	74	-4	+0	+0	+2	+3	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	DET	214	188	40	8	1	5	19	62	5	4	1	.213	.302	.346	.648	.133	.284	29	9	.294	84	-4	+0	+0	+4	+6	0.6
2028	23	MLB 28%	DET	324	285	62	12	1	9	29	91	7	6	1	.218	.305	.361	.667	.144	.285	28	9	.302	90	-4	+1	+0	+6	+9	1.2
2029	24	MLB 45%	DET	400	352	78	15	2	11	37	110	8	7	2	.222	.310	.369	.679	.148	.286	28	9	.308	94	-3	+1	+0	+7	+11	1.7
2030	25	MLB 60%	DET	443	389	88	17	2	13	42	121	9	8	2	.226	.316	.380	.696	.154	.287	27	9	.311	96	-2	+1	+0	+8	+13	2.0
2031	26	MLB 77%	DET	470	412	93	18	2	14	45	128	10	8	2	.226	.317	.381	.698	.155	.288	27	10	.313	98	-1	+1	+0	+8	+13	2.2
2032	27	MLB 92%	DET	480	420	94	18	2	14	47	131	10	8	2	.224	.317	.376	.693	.152	.288	27	10	.313	98	-1	+1	+0	+9	+14	2.2
2033	28	MLB	DET	483	423	94	18	2	14	47	133	10	8	1	.222	.315	.374	.688	.151	.287	28	10	.312	97	-2	+1	-1	+9	+14	2.1
2034	29	MLB	DET	477	417	93	18	2	14	47	133	10	7	1	.223	.316	.376	.693	.153	.286	28	10	.310	95	-3	+1	-1	+9	+14	1.9
2035	30	MLB	DET	470	412	90	17	2	13	46	132	9	7	1	.218	.310	.364	.675	.146	.285	28	10	.307	93	-4	+1	-2	+8	+13	1.7
2036	31	MLB	DET	443	387	84	16	2	12	44	127	9	6	0	.217	.311	.362	.673	.145	.283	29	10	.303	90	-5	+1	-3	+8	+13	1.4
2037	32	MLB	DET	414	362	77	15	1	11	41	120	8	5	0	.213	.307	.351	.657	.138	.282	29	10	.298	86	-6	+1	-4	+7	+12	1.0
2038	33	MLB	DET	374	327	68	13	1	10	37	111	7	4	0	.208	.302	.346	.647	.138	.280	30	10	.293	82	-8	+1	-4	+7	+11	0.6
2039	34	MLB	DET	323	283	58	11	1	8	31	99	6	4	0	.205	.297	.336	.633	.131	.278	31	10	.286	77	-8	+1	-5	+6	+9	0.3
2040	35	MLB	DET	266	233	46	8	1	6	26	84	5	3	0	.197	.292	.318	.609	.120	.275	32	10	.278	71	-9	+1	-6	+5	+8	-0.1
2041	36	MLB	DET	210	184	35	6	1	4	20	69	4	3	0	.190	.284	.299	.583	.109	.272	33	10	.270	64	-8	+1	-6	+4	+6	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			6719	5886	1236	239	26	171	625	1954	154	94	18	.210	.302	.347	.649	.137	.280	29	9	.293	82	-134	+12	-31	+120	+190	16.0
/ 162G	—			650	569	120	23	3	17	60	189	15	9	2	.211	.303	.351	.654	.141	.281	29	9	.293	82	-13	+1	-3	+12	+18	1.5

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
2022	17	ROK	DSL Rays	119	101	22	3	0	0	11	21	6	2	2	.218	.331	.248	.578	.030	.272	18	9	.278	71	-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	.069	.167	31	9	.222	28	-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	62	-7	-0	—	—	+4	-0.2
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	128	+7	-0	—	—	+7	1.4
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	142	+2	+0	—	—	+1	0.3
2024	19	INTL	Perth Heat	112	93	19	1	0	2	11	28	5	0	0	.204	.321	.280	.601	.075	.258	25	10	.279	72	-4	+0	—	—	+3	-0.0
2025	20	A	Lakeland Flying Tigers	122	102	17	1	0	2	13	32	4	0	0	.167	.286	.235	.521	.069	.211	26	11	.247	47	-7	+0	—	—	+3	-0.4

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	25→30	39→44	43→48	53	.204/.287/.329	.125	.283	3	2	31%	8%	74	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Bo Naylor 2021 · A	21	41→43	44→55	50	43	.203/.259/.325	.122	.273	11	7	29%	7%	59	-1.1	.199/.278/.352	.153	.276	18	12	33%	9%	75	-0.0	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Thayron Liranzo 2023 · A	20	41→42	47→50	48→30	42	.204/.274/.345	.141	.294	15	5	34%	8%	72	-0.2	.210/.296/.377	.167	.308	20	3	35%	10%	89	+1.0	.196/.287/.351	.155	.286	19	1	36%	11%	75	-0.0
✕Randy Florentino 2021 · A	21	43	41→50	42→45	48	.206/.286/.310	.104	.297	8	6	31%	10%	67	-0.5	.180/.241/.263	.083	.269	8	5	34%	7%	36	-2.7	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Marcus Greene Jr. 2016 · A	21	42	46→50	52→40	44	.205/.283/.341	.136	.298	13	8	34%	9%	74	-0.1	.199/.260/.324	.125	.272	14	4	31%	7%	60	-1.0	.192/.251/.302	.111	.255	13	1	29%	6%	48	-0.7
✕Jose Lobatón 2007 · A	22	44	42→45	43→30	47	.212/.290/.319	.108	.298	9	5	30%	9%	71	-0.3	.217/.282/.343	.126	.297	13	3	29%	8%	74	-0.1	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
✕Isan Díaz 2017 · A	21	41→40	46→55	45	43	.207/.273/.343	.136	.289	13	8	32%	8%	70	-0.3	.201/.272/.338	.137	.290	15	8	34%	8%	69	-0.4	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0
✕Darrien Miller 2022 · A	21	44→40	45	49→45	47	.214/.307/.328	.114	.289	13	8	29%	9%	82	+0.5	.195/.298/.311	.116	.261	12	6	28%	9%	75	-0.0	.175/.290/.274	.099	.238	9	4	28%	10%	60	-0.7
✕Max Stassi 2012 · A	21	40→43	44→55	43→40	41	.198/.260/.309	.111	.287	12	5	34%	7%	56	-1.3	.218/.270/.362	.144	.290	17	4	30%	5%	74	-0.1	.208/.295/.359	.151	.271	20	0	30%	10%	81	+0.2
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	45	.183/.271/.272	.089	.286	7	6	36%	10%	52	-1.6	.190/.265/.267	.077	.298	5	6	35%	9%	47	-1.9	.182/.268/.267	.085	.274	6	3	33%	10%	48	-0.6
✕Juan Brito 2023 · A	21	47→48	46→50	47→45	53	.232/.316/.369	.138	.282	13	11	22%	10%	95	+1.4	.228/.308/.369	.141	.274	14	9	21%	9%	92	+1.2	.219/.301/.361	.142	.260	15	9	21%	9%	84	+0.5
✕Kevin Padlo 2017 · A	21	37→40	47→55	46→50	48	.191/.279/.329	.137	.266	14	9	32%	10%	70	-0.3	.188/.272/.324	.136	.273	14	8	34%	9%	66	-0.6	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Carlos Jimenez 2023 · A	20	38→41	46→50	53→55	45	.189/.278/.319	.129	.289	14	15	37%	10%	67	-0.5	.210/.289/.331	.121	.326	12	16	36%	9%	74	-0.1	.216/.296/.349	.133	.314	15	19	33%	9%	78	+0.1
✕Jakson Reetz 2017 · A	21	43→34	39→60	47→45	44	.201/.284/.294	.093	.288	6	7	30%	8%	63	-0.8	.196/.270/.295	.099	.288	9	5	33%	7%	57	-1.2	.197/.277/.397	.201	.245	26	4	31%	7%	84	+0.3
✕Angel Martínez 2023 · AA	21	44→48	45→50	48→50	46	.219/.283/.344	.126	.277	12	11	25%	8%	75	-0.0	.225/.282/.353	.128	.282	13	10	24%	6%	76	+0.1	.224/.278/.351	.127	.277	13	10	23%	6%	72	-0.2
✕Bryan Rincon 2023 · A	19	43→42	45→40	53→65	45	.213/.281/.336	.123	.279	13	11	28%	8%	72	-0.2	.194/.288/.298	.104	.270	9	21	29%	10%	66	-0.6	.165/.260/.259	.093	.238	9	30	32%	10%	44	-1.1
✕Eric Haase 2014 · A	21	41	47→65	46→40	39	.204/.257/.342	.138	.299	14	4	36%	7%	63	-0.9	.195/.250/.342	.147	.292	16	3	37%	6%	60	-1.0	.218/.277/.437	.219	.284	32	2	35%	7%	94	+0.9
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Miguel Amaya 2021 · A	22	42	46→50	48→40	46	.212/.283/.341	.129	.261	14	4	24%	7%	75	-0.0	.218/.306/.350	.132	.298	14	6	29%	9%	87	+0.8	.233/.304/.378	.146	.278	16	1	22%	7%	91	+0.5
✕Payton Henry 2018 · A	21	40→31	41→45	46→30	38	.191/.255/.294	.102	.304	8	4	38%	7%	50	-1.7	.187/.253/.289	.102	.316	10	2	41%	6%	48	-1.9	.246/.293/.382	.135	.322	19	1	29%	4%	83	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)