Enmanuel Tejeda — OGILVIE

Enmanuel TejedaSS Tampa Tarpons

Age 21 R/R 5'9" / 158 lbs A HR +8%BB +8% Svc 0.0 · Ctrl thru 2036 peak 2.6 · 2031

wRC+†82

AVG/OBP/SLG.226 / .306 / .344

PA169

HR3

SB10

K%24

BB%9

MLB%0%

Scouting · now → future

HIT

42↗47

PWR

35↗40

SPD

65↗70

EYE

56↗61

trajectory · 10 yrs

2.6peak

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	+2.6	$24M	+$23M
2032	Ext / FA-deal	$0.9M	+2.6	$25M	+$24M
2033	Ext / FA-deal	$1.0M	+2.5	$25M	+$24M
2034	Ext / FA-deal	$5M	+2.3	$23M	+$19M
2035	Ext / FA-deal	$7M	+2.1	$22M	+$15M
2036	Ext / FA-deal	$9M	+1.8	$19M	+$10M
Totals		$24M		$138M	+$115M

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 NYY Bombers	188	157	28	4	3	1	26	37	5	11	6	.178	.314	.261	.575	.083	.227	20	14	.274	68	-7	-0	+0	+2	+5	0.0
2023	18	ROK	FCL Yankees	217	182	38	2	3	2	28	69	6	24	6	.209	.333	.286	.619	.077	.321	32	13	.281	73	-7	+2	+0	+2	+6	0.4
2024	19	A	2 teams	203	190	51	8	0	1	8	56	2	26	4	.268	.305	.326	.631	.058	.368	28	4	.283	75	-6	+4	+0	+2	+6	0.6
2025	20	A	3 teams	266	227	45	7	0	4	33	57	6	27	7	.198	.316	.282	.598	.084	.247	21	12	.275	69	-9	+3	+0	+3	+8	0.4
▸ 2026 Season (actual · ROS · total)
2026	21	A	Tampa Tarpons	79	65	12	4	1	1	14	26	0	7	3	.185	.329	.323	.652	.138	.289	33	18	.288	79	-2	+0	+0	+1	+2	0.1
ROS	21	MLB	NYY	90	80	18	4	0	2	9	23	1	3	1	.225	.311	.350	.661	.125	.288	26	10	.297	86	-1	+0	+0	+1	+3	0.2
TOT	21	MLB	NYY	169	145	30	8	1	3	23	49	1	10	4	.207	.320	.338	.657	.131	.290	29	14	.293	82	-3	+0	+0	+2	+5	0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	NYY	252	218	50	10	1	6	29	52	3	9	3	.229	.328	.367	.695	.138	.275	21	12	.313	98	-1	+1	+0	+3	+7	1.0
2028	23	MLB 28%	NYY	352	305	71	14	2	8	40	71	4	13	4	.233	.330	.370	.700	.138	.276	20	11	.319	103	+1	+1	+0	+4	+10	1.6
2029	24	MLB 45%	NYY	421	364	86	17	2	11	49	84	5	15	4	.236	.335	.385	.720	.148	.278	20	12	.324	106	+3	+1	+0	+5	+12	2.1
2030	25	MLB 60%	NYY	459	397	95	19	2	12	54	91	5	15	4	.239	.338	.388	.726	.149	.279	20	12	.327	108	+4	+1	+0	+5	+13	2.4
2031	26	MLB 77%	NYY	482	417	100	19	3	13	57	96	5	16	4	.240	.338	.393	.731	.153	.279	20	12	.329	110	+5	+2	+0	+5	+14	2.6
2032	27	MLB 92%	NYY	491	423	102	20	3	13	59	98	6	15	4	.241	.342	.395	.737	.154	.279	20	12	.329	110	+5	+1	+0	+5	+14	2.6
2033	28	MLB	NYY	492	424	101	20	3	13	60	99	5	15	4	.238	.339	.392	.731	.153	.279	20	12	.328	109	+5	+1	-1	+5	+14	2.5
2034	29	MLB	NYY	486	419	98	19	2	13	59	99	5	14	4	.234	.335	.382	.717	.148	.278	20	12	.325	107	+4	+1	-1	+5	+14	2.3
2035	30	MLB	NYY	478	412	96	19	2	12	58	99	5	13	3	.233	.335	.376	.711	.143	.276	21	12	.322	105	+3	+1	-2	+5	+14	2.1
2036	31	MLB	NYY	465	400	92	18	2	11	57	99	5	12	3	.230	.333	.367	.701	.137	.275	21	12	.319	102	+1	+1	-3	+5	+13	1.8
2037	32	MLB	NYY	447	385	88	17	2	11	54	97	5	11	2	.229	.331	.369	.700	.140	.273	22	12	.314	98	-1	+1	-4	+5	+13	1.5
2038	33	MLB	NYY	418	360	79	15	2	9	51	94	4	10	2	.219	.323	.347	.670	.128	.272	22	12	.308	94	-3	+1	-4	+4	+12	1.1
2039	34	MLB	NYY	373	321	70	13	2	8	45	87	4	9	1	.218	.322	.346	.667	.128	.270	23	12	.302	89	-5	+1	-5	+4	+11	0.7
2040	35	MLB	NYY	320	276	58	11	1	6	38	78	3	8	1	.210	.312	.322	.635	.112	.267	24	12	.294	83	-6	+1	-6	+3	+9	0.2
2041	36	MLB	NYY	262	227	47	9	1	5	31	66	2	6	1	.207	.308	.322	.629	.115	.264	25	12	.286	77	-7	+1	-6	+3	+7	-0.2
2042	37	MLB	NYY	200	173	34	6	1	3	23	53	2	5	0	.197	.298	.295	.593	.098	.260	26	12	.276	69	-7	+1	-7	+2	+6	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			7362	6357	1447	271	37	164	868	1605	88	277	68	.228	.329	.359	.688	.132	.278	22	12	.312	97	-27	+28	-38	+79	+209	25.5
/ 162G	—			650	561	127	24	3	14	77	142	8	24	6	.226	.328	.355	.683	.128	.277	22	12	.312	97	-2	+2	-3	+7	+18	2.2

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 NYY Bombers	188	142	41	6	7	3	41	25	5	11	6	.289	.463	.493	.956	.204	.333	13	22	.426	184	+18	-0	—	—	+5	2.4
2023	18	ROK	FCL Yankees	217	166	51	4	3	5	44	44	6	24	6	.307	.468	.458	.925	.151	.390	20	20	.418	178	+19	+2	—	—	+6	2.8
2024	19	A	Tampa Tarpons	185	168	52	7	0	1	11	36	2	24	4	.310	.357	.369	.726	.060	.381	19	6	.324	107	+1	+3	—	—	+5	1.0
2024	19	ROK	FCL Yankees	18	16	8	2	0	1	2	2	0	2	0	.500	.556	.812	1.368	.312	.538	11	11	.587	307	+4	+0	—	—	+1	0.5
2025	20	A	Tampa Tarpons	149	120	29	3	0	3	26	20	3	12	3	.242	.389	.342	.731	.100	.268	13	17	.344	121	+4	+1	—	—	+4	0.9
2025	20	ROK	FCL Yankees	32	27	8	3	0	0	4	7	1	2	2	.296	.406	.407	.814	.111	.400	22	12	.372	143	+2	-0	—	—	+1	0.2
2025	20	INTL	Mesa Solar Sox	85	67	17	4	0	1	16	19	2	13	2	.254	.412	.358	.770	.104	.340	22	19	.361	135	+3	+2	—	—	+2	0.8

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
Enmanuel Tejeda (OGILVIE)	21	42→47	35→40	65→70	61	.226/.306/.344	.118	.289	3	5	24%	9%	85	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adrian Pinto 2023 · A	20	50	41→45	59→65	52	.234/.322/.340	.106	.284	6	29	19%	9%	90	+1.0	.231/.312/.347	.116	.294	10	19	23%	8%	88	+0.9	.235/.317/.335	.100	.305	7	18	23%	9%	81	+0.1
✕Masyn Winn 2023 · AA	21	45→53	43→50	61→55	44	.220/.278/.344	.124	.294	9	27	28%	7%	72	-0.2	.237/.291/.371	.134	.285	13	17	21%	7%	85	+0.7	.244/.299/.375	.131	.283	14	12	19%	6%	86	+0.8
✕Mario Lisson 2006 · A	22	46→49	43→55	57→55	50	.222/.307/.345	.122	.296	10	18	26%	10%	85	+0.7	.222/.287/.338	.116	.289	11	21	26%	7%	75	-0.0	.233/.305/.376	.142	.304	18	8	28%	8%	91	+0.8
●Addison Russell 2014 · A	20	48→52	49→55	58→50	45	.235/.304/.393	.158	.314	14	16	29%	8%	96	+1.5	.241/.304/.403	.162	.308	17	10	26%	7%	98	+1.6	.241/.312/.408	.167	.299	18	5	25%	8%	96	+1.3
●Desmond Jennings 2008 · A	21	50→59	43→50	57→60	46	.242/.300/.353	.110	.285	10	28	18%	6%	83	+0.6	.251/.312/.370	.119	.297	9	31	18%	7%	92	+1.2	.252/.331/.406	.154	.301	15	28	21%	9%	106	+2.2
●Maikel Garcia 2022 · A	22	50→56	39→45	58→60	50	.237/.300/.330	.093	.298	5	21	21%	8%	77	+0.1	.243/.299/.343	.100	.308	7	27	22%	7%	80	+0.4	.251/.312/.364	.113	.295	9	27	17%	8%	88	+1.0
✕Jake Marisnick 2012 · A	21	49→54	45→60	56→55	42	.240/.295/.364	.124	.303	11	21	24%	5%	85	+0.7	.231/.283/.354	.123	.295	11	20	25%	5%	77	+0.1	.232/.296/.435	.203	.309	26	18	33%	6%	101	+0.9
●Brett Lawrie 2011 · AA	21	49→56	45→55	55	42	.240/.285/.377	.137	.304	9	17	24%	6%	83	+0.6	.259/.312/.421	.162	.306	15	17	20%	6%	106	+2.2	.265/.324/.430	.165	.299	17	16	17%	7%	109	+2.0
✕Ceddanne Rafaela 2022 · A	21	42→50	47→55	58→55	39	.214/.256/.353	.139	.265	14	15	25%	4%	65	-0.7	.239/.275/.401	.162	.303	18	22	27%	4%	85	+0.7	.244/.283/.399	.155	.300	17	24	24%	4%	86	+0.7
✕Ryan Brett 2013 · A	21	51→55	39→45	59→60	45	.241/.288/.332	.092	.293	5	26	20%	6%	72	-0.2	.248/.289/.357	.109	.301	8	23	20%	5%	79	+0.3	.248/.284/.359	.111	.298	9	21	20%	4%	74	-0.0
✕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
✕Johan Rojas 2022 · A	21	45→55	44→45	55→65	43	.221/.274/.341	.120	.281	11	21	25%	6%	69	-0.4	.232/.276/.342	.110	.293	9	36	23%	5%	70	-0.3	.258/.299/.360	.102	.324	7	41	22%	5%	80	+0.3
✕Jordan Lawlar 2023 · AA	21	50→51	49→50	59→60	43	.241/.309/.389	.148	.347	16	24	33%	8%	97	+1.5	.224/.299/.361	.137	.307	14	27	30%	8%	86	+0.8	.214/.295/.359	.145	.288	14	32	29%	8%	80	+0.3
●Vaughn Grissom 2022 · A	21	52→62	42→50	53→55	48	.250/.318/.360	.110	.306	9	11	21%	7%	93	+1.3	.269/.332/.397	.128	.319	12	17	19%	7%	108	+2.3	.268/.333/.391	.123	.317	12	18	19%	7%	103	+1.6
✕Efrain Contreras 2008 · A	21	47	44→45	53→55	45	.232/.297/.346	.114	.275	12	15	20%	6%	82	+0.5	.215/.274/.310	.095	.277	8	11	24%	5%	62	-0.9	.185/.240/.257	.072	.258	6	6	29%	5%	31	-1.1
✕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
●Michael Harris II 2022 · A	21	49→57	42→55	56→55	41	.237/.286/.348	.111	.312	9	19	26%	6%	76	+0.1	.271/.315/.439	.168	.332	18	21	23%	5%	112	+2.6	.278/.321/.456	.177	.328	21	21	21%	5%	116	+2.7
●CJ Abrams 2022 · AA	21	51→53	43→55	56→60	43	.247/.296/.367	.120	.312	8	21	23%	6%	85	+0.7	.247/.296/.379	.132	.295	13	29	20%	5%	89	+0.9	.248/.310/.428	.179	.287	18	35	20%	6%	104	+2.1
✕Gorkys Hernández 2009 · A	21	51→57	39→45	57→55	44	.244/.288/.336	.092	.300	6	22	20%	5%	73	-0.1	.248/.292/.325	.077	.338	4	17	26%	5%	72	-0.2	.251/.311/.366	.115	.310	11	16	22%	7%	87	+0.6
✕Gabriel Moreno 2021 · A	21	47	47→45	52→45	44	.234/.278/.373	.139	.262	13	7	17%	4%	79	+0.3	.273/.326/.410	.137	.323	14	8	19%	6%	109	+2.4	.295/.351/.419	.124	.354	12	9	19%	7%	118	+1.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)