Enmanuel Tejeda — OGILVIE

Enmanuel TejedaSS Hudson Valley Renegades

Age 21 R/R 5'9" / 158 lbs A+ HR +14% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION491 act + 10 ros · stats below = ROS only

showingROS

wRC+†75

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%20

BB%10

BABIP276

ISO95

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$35M ctrl surplus

Tools · ContractCON 48 / POW 42

Toolsscout grade

CONTACT48

scouting grade only

POWER42

scouting grade only

EYE58

scouting grade only

SPEED68

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.7	$2M	+$2M
2029	Pre-Arb	$0.8M	+1.2	$8M	+$7M
2030	Pre-Arb	$0.9M	+1.3	$8M	+$7M
2031	Arb-1	$4M	+1.4	$8M	+$5M
2032	Arb-2	$7M	+1.4	$7M	+$3M
2033	Arb-3	$10M	+1.2	$6M	+$0.7M
Totals		$25M		$38M	+$25M

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.

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 NYY Bombers	—	188	142	41	6	7	3	41	25	5	11	6	289	463	493	956	204	333	13	22	426	175	+17	-0	—	—	+4	2.1
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	169	+18	+2	—	—	+5	2.5
2024	19	A	Tampa Tarpons	—	185	168	52	7	0	1	11	36	2	24	4	310	357	369	726	60	381	19	6	324	106	+1	+3	—	—	+4	0.9
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	283	+4	+0	—	—	+0	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	119	+3	+1	—	—	+3	0.8
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	138	+1	-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	131	+3	+2	—	—	+2	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL NYY Bombers	—	188	157	32	4	5	2	26	36	5	11	6	204	335	331	666	127	246	19	14	289	82	-4	-0	—	—	+4	-0.0
2023	18	ROK MLE	FCL Yankees	—	217	183	39	3	2	3	27	67	6	24	6	213	333	301	634	87	308	31	12	286	80	-5	+2	—	—	+5	0.2
2024	19	A MLE	Tampa Tarpons	—	185	173	45	6	0	1	7	53	2	24	4	260	297	312	609	52	357	29	4	273	71	-6	+3	—	—	+4	0.1
2024	19	ROK MLE	FCL Yankees	—	18	17	6	1	0	1	1	3	0	2	0	353	389	588	977	235	407	17	6	410	164	+1	+0	—	—	+0	0.2
2025	20	A MLE	Tampa Tarpons	—	149	126	25	3	0	3	20	28	3	12	3	198	322	294	616	95	227	19	13	281	76	-4	+1	—	—	+3	0.0
2025	20	ROK MLE	FCL Yankees	—	32	29	6	2	0	0	2	10	1	2	2	207	281	276	557	69	298	31	6	245	52	-2	-0	—	—	+1	-0.2
2022	17	ROK MLE	DSL NYY Bombers	—	188	157	32	4	5	2	26	36	5	11	6	204	335	331	666	127	252	19	14	289	82	—	—	—	—	—	—
2022	17	ROK RAW	DSL NYY Bombers	—	188	142	41	6	7	3	41	25	5	11	6	289	463	493	956	204	333	13	22	426	82	—	—	—	—	—	—
2023	18	ROK MLE	FCL Yankees	—	217	183	39	3	2	3	27	67	6	24	6	213	333	301	634	87	316	31	12	286	80	—	—	—	—	—	—
2023	18	ROK RAW	FCL Yankees	—	217	166	51	4	3	5	44	44	6	24	6	307	468	458	925	151	390	20	20	418	80	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	203	190	52	8	0	2	8	56	2	26	4	274	310	347	657	74	370	28	4	285	79	—	—	—	—	—	—
2024	19	A RAW	2 teams	—	203	184	60	9	0	2	13	38	2	26	4	326	375	408	783	82	395	19	6	348	79	—	—	—	—	—	—
2025	20	A MLE	3 teams	—	266	227	45	7	0	5	33	57	6	27	7	198	316	295	611	97	242	21	12	275	72	—	—	—	—	—	—
2025	20	A RAW	3 teams	—	266	214	54	10	0	4	46	46	6	27	7	252	398	355	754	103	305	17	17	353	72	—	—	—	—	—	—
2022	17	ROK MLE	DSL NYY Bombers	—	188	155	32	4	5	2	26	36	5	11	6	206	335	335	671	129	246	19	14	289	82	—	—	—	—	—	—
2023	18	ROK MLE	FCL Yankees	—	217	182	39	3	2	3	27	67	6	24	6	214	333	302	636	88	308	31	12	286	80	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	203	191	52	8	0	2	8	56	2	26	4	272	310	346	656	73	361	28	4	285	79	—	—	—	—	—	—
2025	20	A MLE	3 teams	—	266	225	45	7	0	5	33	57	6	27	7	200	316	298	614	98	240	21	12	275	72	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	FCL Yankees	—	217	182	39	3	2	3	27	67	6	24	6	214	333	302	636	88	308	31	12	286	80	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	203	191	52	8	0	2	8	56	2	26	4	272	310	346	656	73	361	28	4	285	79	—	—	—	—	—	—
2025	20	A MLE	3 teams	—	266	225	45	7	0	5	33	57	6	27	7	200	316	298	614	98	240	21	12	275	72	—	—	—	—	—	—
YTD	21	A+ MLE	NYY	—	491	431	80	16	1	7	49	128	8	38	12	186	281	276	557	90	244	26	10	254	58	-25	+3	+0	+5	+11	-0.6
▸ 2026 season
YTD	21	A RAW	NYY	—	144	112	26	9	1	2	28	30	2	12	4	232	392	384	776	152	296	21	19	354	58	—	—	—	—	—	—
YTD	21	A+ RAW	NYY	—	347	295	65	10	0	7	42	64	6	26	8	220	328	325	653	105	257	18	12	301	58	—	—	—	—	—	—
ROS	21	A+ MLE	NYY	0%	10	9	1	0	0	0	1	2	0	1	0	111	200	111	311		275	20	10	279	75	-0	+0	+0	+0	+0	0.0
TOT	21	A+ MLE	NYY	—	501	440	81	16	1	7	50	130	8	39	12	184	279	273	552	89	242	26	10	254	58	-25	+3	+0	+5	+11	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	NYY	49%	381	336	74	14	1	7	37	90	5	18	5	220	307	330	637	110	277	24	10	292	84	-7	+2	+0	+4	+8	0.7
2028	23	MLB MLE	NYY	68%	446	393	88	16	1	10	44	103	6	21	6	224	312	346	658	122	279	23	10	299	89	-6	+2	+0	+5	+10	1.0
2029	24	MLB MLE	NYY	74%	591	520	120	22	2	14	58	135	8	27	8	231	317	362	679	131	280	23	10	304	92	-6	+2	+0	+6	+13	1.6
2030	25	MLB MLE	NYY	77%	590	519	120	22	2	14	58	134	8	27	8	231	318	362	680	131	280	23	10	307	94	-4	+2	+0	+6	+13	1.7
2031	26	MLB MLE	NYY	78%	585	514	119	22	2	14	58	133	8	27	8	232	319	364	683	132	280	23	10	308	95	-4	+2	+0	+6	+13	1.8
2032	27	MLB MLE	NYY	77%	578	507	117	21	2	14	58	132	8	27	8	231	319	363	682	132	280	23	10	308	95	-4	+2	+0	+6	+13	1.8
2033	28	MLB MLE	NYY	77%	569	498	114	21	1	14	58	130	8	25	7	229	319	359	679	131	280	23	10	307	94	-4	+2	-1	+6	+12	1.6
2034	29	MLB MLE	NYY	75%	559	490	111	20	1	13	57	129	7	23	7	227	316	351	667	124	279	23	10	305	93	-5	+2	-1	+6	+12	1.4
2035	30	MLB MLE	NYY	73%	549	481	109	20	1	13	56	128	7	20	6	227	316	353	670	127	278	23	10	303	91	-6	+2	-2	+6	+12	1.2
2036	31	MLB MLE	NYY	73%	468	411	91	16	1	11	48	111	6	15	4	221	312	345	657	124	276	24	10	299	88	-6	+1	-3	+5	+10	0.7
2037	32	MLB MLE	NYY	79%	449	394	86	15	1	10	46	108	6	12	4	218	309	338	647	119	273	24	10	294	85	-8	+1	-4	+5	+10	0.4
2038	33	MLB MLE	NYY	76%	420	369	80	14	1	9	43	103	5	9	3	217	307	333	640	117	270	25	10	287	81	-10	+1	-4	+4	+9	0.0
2039	34	MLB MLE	NYY	71%	374	328	70	12	1	7	38	94	5	6	2	213	305	320	625	107	269	25	10	282	77	-10	+0	-5	+4	+8	-0.3
2027	22	MLB CTX	NYY	49%	185	162	36	7	0	4	18	44	3	9	3	222	311	340	651	117	278	24	10	285	84	-4	+1	+0	+2	+4	0.3
2028	23	MLB CTX	NYY	68%	304	267	61	11	1	7	30	70	4	14	4	228	316	356	671	127	280	23	10	293	89	-4	+1	+0	+3	+7	0.7
2029	24	MLB CTX	NYY	74%	438	386	89	16	1	11	43	100	6	20	6	231	317	363	680	132	282	23	10	298	92	-4	+2	+0	+5	+9	1.2
2030	25	MLB CTX	NYY	77%	454	400	93	17	1	12	45	103	6	21	6	233	319	370	689	137	282	23	10	301	94	-3	+2	+0	+5	+10	1.3
2031	26	MLB CTX	NYY	78%	457	402	93	17	1	12	46	104	6	21	6	231	319	368	688	137	282	23	10	302	95	-3	+2	+0	+5	+10	1.4
2032	27	MLB CTX	NYY	77%	446	392	92	17	1	12	45	101	6	21	6	235	323	375	698	140	282	23	10	302	95	-3	+2	+0	+5	+10	1.4
2033	28	MLB CTX	NYY	77%	436	383	88	16	1	11	44	100	6	19	6	230	319	363	682	133	282	23	10	302	94	-3	+1	-1	+5	+9	1.2
2034	29	MLB CTX	NYY	75%	417	365	84	15	1	11	43	96	6	17	5	230	321	367	688	137	281	23	10	300	93	-4	+1	-1	+4	+9	1.1
2035	30	MLB CTX	NYY	73%	403	354	81	15	1	10	41	94	5	15	4	229	318	362	679	133	280	23	10	297	91	-4	+1	-2	+4	+9	0.9
2036	31	MLB CTX	NYY	73%	341	299	67	12	1	8	35	81	4	11	3	224	314	351	665	127	278	24	10	293	88	-5	+1	-2	+4	+7	0.5
2037	32	MLB CTX	NYY	79%	354	310	69	12	1	8	36	85	5	9	3	223	313	345	659	123	275	24	10	288	85	-6	+1	-3	+4	+8	0.3
2038	33	MLB CTX	NYY	76%	319	280	61	11	1	7	32	78	4	7	2	218	307	339	646	121	271	24	10	282	81	-7	+1	-3	+3	+7	0.0
2039	34	MLB CTX	NYY	71%	267	235	48	8	0	5	27	67	3	4	1	204	294	302	596	98	270	25	10	276	77	-7	+0	-3	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4821	4235	962	174	11	118	485	1123	64	188	55	227	316	357	673	130	280	23	10	295	88	-58	+16	-15	+52	+104	10.1
/ 162G	—	A+C		—	650	571	129	23	1	16	65	151	9	25	7	226	315	354	668	128	278	23	10	295	88	-8	+2	-2	+7	+14	1.4
Career	—	MLE		—	7443	6526	1468	257	24	162	754	1748	106	346	99	225	315	346	661	121	281	23	10	299	88	-81	+21	-20	+70	+142	13.6
/ 162G	—	MLE		—	650	570	128	22	2	14	66	153	9	30	9	225	315	344	659	119	281	24	10	299	88	-8	+2	-2	+7	+14	1.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1B.J. Uptonlast yr '16 career totals — 12 seasons, 5,858 PA	8.8	5,858	164	300	243	321	402	+14	+17	24.5	24.5
/162	664	19	34	+1.6	+2.0	2.8	pk7: 25
#2Alcides Escobarlast yr '22 career totals — 12 seasons, 6,178 PA	9.3	6,178	45	178	258	295	345	+66	+92	19.2	18.2
/162	664	5	19	+7.1	+9.9	2.1	pk7: 17
#3Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.3	4,822	110	188	226	312	351	+50	+27	13.8	12.2
/162	664	15	26	+6.9	+3.7	1.9	pk7: 11
#4Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#5Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#6Leonys Martinlast yr '19 career totals — 8 seasons, 2,784 PA	4.2	2,784	58	126	243	301	366	+10	+53	10.7	10.8
/162	664	14	30	+2.4	+12.6	2.5	pk7: 11

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	43→48	37→42	63→68	58	210/299/302	92	275	4	16	25%	10%	75	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Delino DeShields 2014 · A	21	50→55	40→45	62→65	45	235/299/336	101	315	7	37	26%	7%	81	-0.1	231/304/333	102	309	7	35	25%	9%	82	+0.0	239/318/333	94	320	6	34	25%	10%	82	+0.0
✕Masyn Winn 2023 · AA	21	46→54	43→50	61→55	45	223/282/346	122	298	9	28	27%	7%	77	-0.3	240/293/371	131	287	13	16	20%	7%	87	+0.4	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Adrian Pinto 2023 · A	20	49	41→45	59→65	52	232/323/340	107	283	6	29	19%	9%	92	+0.7	232/310/353	121	294	11	18	23%	8%	90	+0.6	226/310/337	111	288	7	11	22%	9%	81	-0.0
●Desmond Jennings 2008 · A	21	52→59	42→50	57→60	47	250/310/361	111	295	9	29	18%	6%	91	+0.7	255/317/373	118	302	8	32	17%	7%	96	+1.0	243/323/397	154	290	15	28	21%	9%	102	+1.5
✕Carlos Willoughby 2010 · A	21	52→44	35→40	62→60	54	238/328/306	68	295	2	30	18%	10%	86	+0.3	217/288/288	71	281	2	22	21%	8%	66	-1.1	204/273/269	65	267	1	20	22%	7%	53	-1.2
✕Vidal Bruján 2019 · A	21	55→59	42→45	57→65	50	261/321/373	112	305	8	27	17%	8%	97	+1.1	237/293/341	104	286	8	37	19%	7%	80	-0.2	224/301/331	107	277	8	25	21%	8%	77	-0.2
✕Ryan Brett 2014 · AA	22	52→57	41→45	59→60	45	249/294/357	108	298	8	27	19%	5%	83	+0.1	241/278/343	102	295	8	18	20%	4%	74	-0.5	231/263/324	93	289	7	15	22%	3%	61	-0.8
✕Jack Blomgren 2022 · A	23	53	38→40	58→60	46	238/323/324	86	348	4	26	30%	8%	88	+0.4	228/306/333	105	339	9	21	32%	8%	84	+0.1	185/266/286	101	252	7	30	28%	8%	57	-0.4
✕Jakob Marsee 2023 · A	22	44→48	43→45	58→60	54	211/315/327	116	289	9	21	28%	12%	86	+0.3	215/313/338	123	273	13	33	24%	11%	88	+0.5	211/310/338	127	264	13	40	24%	11%	84	+0.2
✕Marcus Sanders 2006 · A	20	53→55	39→30	60	49	247/320/333	86	326	6	31	24%	9%	88	+0.5	217/288/286	69	291	3	28	24%	8%	65	-1.2	201/274/253	52	271	0	32	23%	8%	51	-1.2
✕Peter Bourjos 2010 · AA	23	51→55	42→50	62→60	43	245/288/362	117	303	7	28	22%	5%	82	-0.0	246/294/386	140	303	12	24	22%	5%	91	+0.6	249/309/385	136	316	11	18	24%	6%	95	+0.5
✕Everth Cabrera 2009 · A	22	51→59	39→40	61→65	43	238/293/326	89	318	5	34	26%	6%	76	-0.4	240/307/329	89	313	4	33	22%	8%	82	+0.0	263/328/345	82	334	3	54	21%	8%	90	+0.4
●Fernando Perez 2006 · A	23	51→61	39→45	60	48	244/296/340	96	295	6	27	19%	7%	80	-0.2	258/323/356	98	357	6	26	27%	8%	94	+0.9	265/333/364	99	379	6	30	29%	9%	95	+0.9
●Garin Cecchini 2013 · A	22	53→63	39→45	59→55	45	250/306/346	96	325	5	27	24%	7%	85	+0.2	248/313/347	99	326	6	16	24%	8%	88	+0.5	238/304/329	91	314	6	13	24%	8%	78	-0.2
✕Osleivis Basabe 2022 · A	21	51→61	38→45	56→50	44	244/287/329	85	299	5	15	20%	6%	74	-0.5	259/304/360	101	314	5	15	18%	5%	88	+0.4	261/307/362	101	315	5	15	18%	5%	86	+0.2
✕Mario Lisson 2006 · A	22	46→49	43→50	57→55	49	219/303/341	122	299	9	19	28%	10%	84	+0.2	220/282/334	114	289	10	21	26%	7%	75	-0.5	230/303/360	129	300	15	8	27%	8%	88	+0.3
●Maikel Garcia 2022 · A	22	50→58	39→50	58→60	50	236/300/327	91	298	5	22	21%	8%	79	-0.2	247/302/345	98	313	7	27	22%	7%	84	+0.1	261/321/393	132	295	10	24	15%	8%	100	+1.2
✕Jordan Lawlar 2023 · AA	21	51	49→50	59→60	43	242/311/390	148	346	16	25	33%	8%	99	+1.2	226/301/363	137	307	13	27	29%	8%	88	+0.5	218/293/370	152	289	16	30	29%	8%	85	+0.1
✕Tyson Gillies 2010 · A	21	58→64	42→45	57→55	47	278/340/388	110	339	8	25	20%	6%	107	+1.9	258/314/362	104	327	7	17	22%	5%	92	+0.7	236/280/341	106	311	7	15	25%	4%	71	-0.4
✕Garrett Hampson 2018 · A	23	53→56	38→45	59→60	47	252/302/339	87	309	5	28	20%	6%	82	-0.0	243/296/351	108	312	9	27	23%	7%	83	+0.1	246/310/332	86	335	4	22	25%	8%	82	+0.0

Career Stats + Projections

Career Comps

Career Path Comps