Keiner Delgado — OGILVIE

Keiner Delgado2B Altoona Curve

Age 22 S/R 5'8" / 145 lbs AA BB +7% Svc 0.0 · Ctrl thru 2034 peak 1.4 · 2030

wRC+†67

AVG/OBP/SLG.203 / .284 / .312

PA320

HR7

SB14

K%29

BB%8

MLB%2%

Scouting · now → future

HIT

40→40

PWR

40→40

SPD

55→55

EYE

50↗60

trajectory · 10 yrs

1.4peak

2030

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+1.2	$10M	+$10M
2030	Arb-2	$0.9M	+1.4	$13M	+$12M
2031	Arb-3	$0.9M	+1.4	$13M	+$12M
2032	Ext / FA-deal	$3M	+1.2	$11M	+$9M
2033	Ext / FA-deal	$3M	+1.0	$10M	+$6M
2034	Ext / FA-deal	$4M	+0.8	$4M	+$0.1M
Totals		$13M		$61M	+$49M

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	18	ROK	DSL NYY Yankees	238	189	40	10	3	2	37	41	10	34	8	.212	.369	.328	.697	.116	.257	17	16	.314	98	-0	+4	+0	+1	+7	1.1
2023	19	ROK	FCL Yankees	239	212	43	7	1	4	22	49	5	36	7	.203	.293	.302	.595	.099	.245	21	9	.265	61	-11	+4	+0	+1	+7	0.2
2024	20	A	Bradenton Marauders	381	346	62	8	1	6	24	120	10	25	6	.179	.253	.260	.513	.081	.255	31	6	.235	38	-27	+3	+0	+1	+11	-1.2
2025	21	A+	Greensboro Grasshoppers	514	453	91	14	1	12	44	148	13	24	2	.201	.290	.316	.606	.115	.269	29	9	.267	63	-22	+4	+0	+2	+15	-0.1
▸ 2026 Season (actual · ROS · total)
2026	22	AA	Altoona Curve	50	41	7	1	0	1	8	17	0	4	0	.171	.306	.268	.574	.098	.250	34	16	.266	62	-2	+1	+0	+0	+1	0.0
ROS	22	MLB	PIT	270	238	49	8	1	6	25	79	5	10	1	.206	.295	.324	.618	.118	.272	29	9	.275	68	-10	+2	+0	+1	+8	0.1
TOT	22	MLB	PIT	320	279	56	9	1	7	33	96	5	14	1	.201	.297	.315	.612	.115	.275	30	10	.273	67	-12	+2	+0	+1	+9	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 12%	PIT	540	474	99	16	2	12	52	140	9	19	2	.209	.299	.327	.626	.118	.265	26	10	.285	76	-14	+3	+0	+2	+15	0.6
2028	24	MLB 27%	PIT	577	506	108	18	2	14	57	146	9	19	2	.213	.304	.340	.644	.126	.268	25	10	.292	82	-12	+3	+0	+2	+16	1.0
2029	25	MLB 44%	PIT	599	524	113	19	2	15	60	150	10	19	2	.216	.308	.345	.654	.130	.270	25	10	.297	85	-10	+3	+0	+2	+17	1.2
2030	26	MLB 59%	PIT	610	533	116	19	2	16	62	153	10	18	2	.218	.311	.351	.662	.133	.271	25	10	.299	87	-9	+3	+0	+2	+17	1.4
2031	27	MLB 77%	PIT	613	535	116	19	2	16	63	154	10	17	2	.217	.311	.350	.660	.133	.271	25	10	.299	87	-9	+3	+0	+2	+17	1.4
2032	28	MLB 84%	PIT	609	531	115	19	2	16	63	154	10	16	1	.217	.311	.350	.662	.134	.270	25	10	.298	86	-9	+3	-1	+2	+17	1.2
2033	29	MLB 91%	PIT	601	524	113	19	2	15	62	154	10	14	1	.216	.310	.345	.656	.130	.269	26	10	.296	85	-10	+2	-1	+2	+17	1.0
2034	30	MLB	PIT	591	516	109	18	2	14	61	153	9	13	0	.211	.305	.335	.641	.124	.268	26	10	.293	82	-12	+3	-2	+2	+17	0.8
2035	31	MLB	PIT	577	503	104	17	1	14	60	152	9	10	0	.207	.302	.328	.630	.121	.266	26	10	.289	80	-13	+2	-3	+2	+16	0.4
2036	32	MLB	PIT	559	487	100	16	1	13	58	150	9	8	0	.205	.301	.322	.624	.117	.265	27	10	.285	76	-15	+2	-4	+2	+16	0.1
2037	33	MLB	PIT	529	462	92	15	1	11	54	146	8	7	0	.199	.294	.307	.601	.108	.263	28	10	.279	72	-17	+1	-4	+2	+15	-0.3
2038	34	MLB	PIT	481	422	82	13	1	10	49	137	7	6	0	.194	.289	.301	.590	.107	.261	28	10	.273	67	-18	+1	-5	+2	+14	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			8528	7455	1552	255	27	196	853	2226	153	295	36	.208	.302	.329	.631	.120	.267	26	10	.286	77	-218	+45	-20	+30	+242	8.1
/ 162G	—			650	568	118	19	2	15	65	170	12	22	3	.208	.302	.327	.630	.120	.267	26	10	.286	77	-17	+3	-1	+2	+18	0.6

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	18	ROK	DSL NYY Yankees	238	168	52	16	4	3	58	28	10	34	8	.310	.508	.506	1.014	.196	.353	12	24	.451	203	+28	+4	—	—	+7	3.9
2023	19	ROK	FCL Yankees	239	198	58	12	1	8	36	31	5	36	7	.293	.414	.485	.899	.192	.314	13	15	.401	165	+18	+4	—	—	+7	2.9
2024	20	A	Bradenton Marauders	381	337	78	11	2	8	33	83	10	25	6	.231	.318	.347	.666	.116	.285	22	9	.304	91	-4	+3	—	—	+11	1.0
2025	21	A+	Greensboro Grasshoppers	514	424	103	18	1	14	73	112	13	24	2	.243	.371	.389	.760	.146	.298	22	14	.346	123	+13	+4	—	—	+15	3.2

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
Keiner Delgado (OGILVIE)	22	40	40	55	60	.203/.284/.312	.109	.274	7	10	29%	8%	68	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kaden Polcovich 2022 · AA	23	39	46→45	54→55	45	.196/.282/.327	.131	.279	14	17	33%	9%	71	-0.3	.195/.278/.316	.121	.271	12	17	31%	9%	66	-0.6	.183/.271/.296	.112	.254	11	19	30%	9%	55	-0.8
✕Oliver Dominguez 2011 · A	22	43	41→40	51→45	48	.210/.277/.310	.100	.270	9	15	25%	8%	63	-0.8	.198/.269/.291	.093	.276	7	11	28%	9%	55	-1.4	.183/.255/.274	.091	.261	6	8	30%	8%	42	-1.1
✕Jason Taylor 2010 · A	22	44→40	45	52→55	51	.220/.295/.345	.124	.265	12	21	22%	9%	80	+0.4	.208/.261/.317	.109	.266	10	14	25%	6%	58	-1.2	.143/.173/.230	.086	.184	9	6	28%	3%	-4	-1.1
✕Brainer Bonaci 2023 · A	21	44→45	40→45	55→50	50	.208/.290/.307	.098	.287	7	16	28%	10%	68	-0.5	.222/.281/.341	.119	.304	12	11	29%	7%	72	-0.2	.227/.267/.356	.130	.303	16	8	30%	5%	67	-0.3
✕Juan Mora 2022 · A	22	46	44→45	55	46	.222/.297/.343	.121	.288	11	15	26%	8%	81	+0.4	.226/.283/.335	.109	.306	10	9	28%	5%	72	-0.2	.220/.277/.325	.105	.292	10	8	27%	5%	65	-0.3
✕Jakob Marsee 2023 · A	22	45→47	43→45	57→60	53	.214/.313/.328	.115	.295	9	20	28%	11%	84	+0.6	.215/.314/.338	.123	.272	13	32	24%	11%	87	+0.8	.209/.308/.338	.130	.260	14	40	24%	11%	81	+0.5
✕Ronny Simon 2022 · A	22	41→51	49→50	53→55	43	.212/.269/.366	.155	.273	17	14	29%	7%	74	-0.1	.219/.268/.369	.150	.279	17	22	27%	6%	75	-0.0	.239/.300/.355	.117	.301	11	27	23%	7%	81	+0.4
✕Jorge Barrosa 2023 · AA	22	47→48	44→45	50→55	46	.229/.289/.347	.118	.281	11	20	22%	7%	78	+0.2	.221/.290/.339	.118	.278	11	16	23%	8%	76	+0.1	.214/.286/.325	.111	.274	10	14	24%	9%	68	-0.4
✕Blake Perkins 2019 · A	22	44→52	38→50	51→55	45	.208/.275/.286	.078	.293	6	17	29%	8%	56	-1.3	.196/.265/.290	.094	.285	9	16	32%	8%	53	-1.5	.228/.311/.359	.130	.302	13	25	27%	10%	87	+0.5
✕Geraldo Quintero 2023 · A	21	44→45	41→40	55→60	45	.210/.275/.315	.105	.273	7	20	25%	7%	63	-0.8	.209/.273/.297	.088	.277	7	26	25%	7%	58	-1.2	.198/.268/.283	.085	.261	8	32	26%	7%	49	-1.2
✕Jeter Downs 2019 · A	21	42→41	43→50	52→55	44	.207/.272/.315	.108	.262	11	18	25%	7%	63	-0.9	.208/.274/.359	.151	.269	18	18	29%	7%	75	-0.0	.178/.268/.330	.152	.242	18	26	33%	8%	64	-0.3
✕Johan Lopez 2022 · A	22	44	44→45	56→55	44	.214/.289/.333	.120	.290	11	17	29%	8%	75	-0.0	.194/.265/.298	.104	.295	10	12	35%	7%	56	-1.3	.168/.239/.253	.086	.253	8	12	35%	7%	31	-1.1
✕Imbewer Alvarez 2008 · A	22	47	40	51→55	46	.225/.293/.318	.094	.300	7	17	26%	8%	72	-0.2	.201/.260/.278	.077	.307	5	12	34%	6%	47	-1.9	.135/.182/.184	.049	.223	4	5	40%	2%	-12	-1.0
✕Dalton Pompey 2014 · A	21	44→54	40→45	57→55	46	.212/.280/.309	.097	.289	6	21	28%	8%	63	-0.8	.250/.309/.355	.105	.324	7	26	23%	7%	87	+0.8	.260/.318/.360	.100	.329	7	29	22%	7%	88	+0.8
✕Nick Franklin 2012 · AA	21	45→49	47→50	52→50	42	.228/.277/.358	.130	.289	15	15	26%	6%	75	-0.0	.233/.293/.365	.132	.300	13	13	25%	8%	84	+0.6	.232/.299/.364	.132	.295	13	12	25%	8%	83	+0.5
✕Cooper Bowman 2022 · A	22	44→42	45	56→60	41	.216/.289/.348	.132	.304	12	18	31%	7%	79	+0.3	.200/.277/.317	.117	.285	12	34	32%	8%	66	-0.6	.200/.273/.320	.120	.271	12	40	29%	8%	62	-0.6
✕Hayden Cantrelle 2022 · AA	23	35	41→45	54→55	54	.169/.297/.268	.099	.266	8	23	35%	14%	64	-0.8	.189/.306/.297	.108	.297	8	20	34%	13%	74	-0.1	.191/.310/.302	.111	.299	9	21	34%	12%	74	-0.0
✕Felix Valerio 2023 · AA	22	43→48	45	53→55	48	.215/.283/.338	.123	.254	13	22	21%	8%	73	-0.1	.205/.267/.312	.107	.264	10	16	25%	7%	59	-1.1	.191/.253/.282	.091	.256	8	13	27%	6%	42	-1.0
✕Alen Hanson 2015 · AA	22	48→51	46→50	55→60	42	.237/.278/.377	.139	.293	12	20	23%	5%	79	+0.3	.236/.272/.354	.118	.291	9	28	21%	5%	71	-0.3	.248/.284/.386	.138	.297	12	30	20%	4%	81	+0.3
✕Peyton Wilson 2023 · A	23	44→52	46→45	57→55	41	.218/.283/.349	.131	.303	13	19	31%	7%	76	+0.1	.220/.287/.339	.119	.295	10	18	27%	7%	75	-0.0	.213/.285/.330	.117	.285	10	19	27%	8%	69	-0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)