Jorgelys Mota — OGILVIE

Jorgelys MotaSS Wilmington Blue Rocks

Age 21 R/R 6'3" / 170 lbs A+ HR -9% Svc 0.0 · Ctrl thru 2034 peak 0.8 · 2031

wRC+†33

AVG/OBP/SLG.165 / .228 / .262

PA320

HR6

SB10

K%45

BB%6

MLB%4%

Scouting · now → future

HIT

20↗24

PWR

40↗55

SPD

60→60

FLD

40↗51

EYE

38↗40

trajectory · 10 yrs

0.8peak

2031

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	+0.3	$1M	+$0.5M
2030	Arb-2	$0.9M	+0.6	$3M	+$2M
2031	Arb-3	$0.9M	+0.8	$4M	+$3M
2032	Ext / FA-deal	$2M	+0.8	$4M	+$2M
2033	Ext / FA-deal	$2M	+0.6	$3M	+$0.9M
2034	Ext / FA-deal	$2M	+0.5	$3M	+$0.1M
Totals		$9M		$17M	+$8M

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 Nationals	73	67	12	1	1	1	4	33	2	4	2	.179	.247	.269	.515	.090	.333	45	5	.218	25	-6	+0	+0	+1	+2	-0.3
2023	18	ROK	2 teams	113	102	21	4	1	1	6	53	4	2	2	.206	.277	.294	.571	.088	.408	47	5	.247	47	-7	-0	+0	+1	+3	-0.3
2024	19	ROK	2 teams	292	271	40	5	1	2	11	140	9	15	7	.148	.206	.196	.402	.048	.292	48	4	.182	-3	-34	+0	+0	+3	+8	-2.3
2025	20	A	Fredericksburg Nationals	328	306	58	11	2	4	16	148	6	25	7	.190	.244	.278	.522	.088	.351	45	5	.232	36	-24	+2	+0	+4	+9	-0.9
▸ 2026 Season (actual · ROS · total)
2026	21	A+	Wilmington Blue Rocks	21	18	4	0	0	0	1	8	2	2	0	.222	.333	.222	.556	.000	.400	38	5	.273	67	-1	+0	+0	+0	+1	0.0
ROS	21	MLB	WSH	299	274	45	8	1	5	17	134	6	8	3	.164	.229	.255	.484	.091	.293	45	6	.226	31	-23	+0	-0	+3	+8	-1.2
TOT	21	MLB	WSH	320	292	49	8	1	5	18	142	8	10	3	.168	.236	.253	.489	.086	.301	44	6	.229	33	-24	+1	-0	+3	+9	-1.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 15%	WSH	375	341	61	10	2	9	24	158	7	10	3	.179	.247	.299	.546	.120	.296	42	6	.250	50	-21	+1	-1	+4	+11	-0.7
2028	23	MLB 31%	WSH	446	404	77	13	2	13	31	179	8	12	4	.191	.262	.329	.591	.139	.298	40	7	.267	62	-19	+1	-1	+5	+13	-0.2
2029	24	MLB 48%	WSH	493	445	88	15	2	16	36	192	9	13	4	.198	.271	.348	.620	.151	.299	39	7	.277	70	-17	+1	-1	+5	+14	0.3
2030	25	MLB 62%	WSH	519	466	94	16	2	18	39	199	9	14	4	.202	.276	.361	.637	.159	.300	38	8	.283	75	-15	+1	-1	+6	+15	0.6
2031	26	MLB 79%	WSH	533	477	97	16	2	19	41	205	10	14	4	.203	.280	.365	.645	.161	.301	38	8	.286	77	-14	+1	-1	+6	+15	0.8
2032	27	MLB 94%	WSH	537	480	97	16	2	19	42	207	10	13	4	.202	.280	.362	.643	.160	.301	39	8	.286	77	-14	+1	-1	+6	+15	0.8
2033	28	MLB	WSH	534	478	95	16	2	18	42	207	9	13	4	.199	.276	.354	.630	.155	.301	39	8	.285	76	-14	+1	-1	+6	+15	0.6
2034	29	MLB	WSH	526	470	93	15	2	18	42	205	9	12	3	.198	.276	.353	.630	.155	.300	39	8	.283	75	-15	+1	-2	+6	+15	0.5
2035	30	MLB	WSH	517	462	91	15	2	17	41	203	9	11	3	.197	.275	.348	.624	.152	.298	39	8	.280	72	-16	+1	-3	+6	+15	0.2
2036	31	MLB	WSH	503	449	87	14	2	16	40	200	9	10	2	.194	.273	.341	.614	.147	.296	40	8	.276	70	-17	+1	-4	+5	+14	-0.0
2037	32	MLB	WSH	485	436	82	13	2	15	38	195	8	9	2	.188	.266	.330	.596	.142	.295	40	8	.271	66	-19	+1	-4	+5	+14	-0.3
2038	33	MLB	WSH	456	409	76	12	2	14	36	187	8	8	1	.186	.265	.328	.593	.142	.293	41	8	.266	62	-20	+1	-5	+5	+13	-0.6
2039	34	MLB	WSH	410	368	67	11	1	12	32	171	7	7	1	.182	.260	.315	.576	.133	.291	42	8	.259	57	-20	+1	-5	+4	+12	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			7439	6705	1281	211	31	217	538	3016	139	200	60	.191	.265	.329	.594	.138	.303	41	7	.267	63	-314	+16	-29	+80	+211	-3.8
/ 162G	—			650	586	112	18	3	19	47	264	12	17	5	.191	.265	.329	.594	.138	.304	41	7	.267	63	-27	+1	-3	+7	+18	-0.3

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 Nationals	73	65	17	1	1	2	6	22	2	4	2	.262	.342	.400	.742	.138	.366	30	8	.335	115	+1	+0	—	—	+2	0.3
2023	18	A	Fredericksburg Nationals	15	13	2	0	1	0	1	7	1	1	0	.154	.267	.308	.574	.154	.333	47	7	.263	60	-1	+0	—	—	+0	-0.0
2023	18	ROK	FCL Nationals	98	85	27	5	2	1	9	31	3	1	2	.318	.402	.459	.861	.141	.481	32	9	.382	150	+6	-1	—	—	+3	0.8
2024	19	A	Fredericksburg Nationals	111	102	26	4	2	0	5	39	4	3	2	.255	.315	.333	.649	.078	.413	35	5	.296	85	-2	-0	—	—	+3	0.1
2024	19	ROK	FCL Nationals	181	162	31	3	0	3	13	60	5	12	5	.191	.272	.265	.538	.074	.280	33	7	.251	50	-10	+0	—	—	+5	-0.5
2025	20	A	Fredericksburg Nationals	328	296	80	17	3	6	26	101	6	25	7	.270	.341	.409	.750	.139	.392	31	8	.337	116	+6	+2	—	—	+9	1.8

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
Jorgelys Mota (OGILVIE)	21	20→24	40→55	60	40	.165/.228/.262	.097	.293	6	9	45%	6%	31	-1.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sean Coyle 2013 · A	21	37→36	45→50	54→50	38	.192/.253/.319	.127	.271	12	13	33%	6%	56	-1.3	.204/.262/.355	.151	.295	18	14	36%	6%	69	-0.4	.197/.258/.362	.165	.284	22	15	38%	7%	67	-0.3
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	35	.183/.259/.287	.104	.311	11	11	42%	6%	51	-1.7	.198/.263/.310	.112	.287	13	7	34%	6%	58	-1.2	.185/.242/.280	.095	.261	13	5	33%	5%	38	-1.0
✕Jase Bowen 2022 · A	21	37→40	42→45	53→55	35	.184/.244/.282	.097	.281	10	12	37%	5%	43	-2.2	.196/.251/.317	.121	.287	14	16	35%	5%	54	-1.4	.198/.249/.325	.127	.276	15	22	33%	5%	52	-1.2
✕Junior Perez 2022 · A	21	38	44→45	53→55	36	.179/.246/.295	.117	.318	11	16	44%	8%	46	-2.0	.184/.257/.299	.115	.319	12	23	42%	8%	53	-1.5	.172/.245/.284	.112	.290	12	29	42%	8%	41	-1.8
✕Narciso Crook 2016 · A	21	38→43	42→55	53→50	33	.193/.226/.298	.105	.280	10	12	34%	4%	37	-2.6	.200/.245/.309	.109	.293	10	10	34%	5%	49	-1.8	.199/.278/.357	.158	.302	19	15	38%	7%	73	-0.1
✕Monte Harrison 2017 · A	21	39→43	39→50	53→60	36	.182/.253/.263	.081	.299	6	16	38%	6%	42	-2.3	.205/.262/.331	.126	.332	14	18	40%	5%	63	-0.9	.194/.262/.320	.126	.338	17	41	45%	7%	56	-0.6
✕Johan Mieses 2016 · A	21	41→32	45→55	53→50	39	.208/.253/.334	.126	.273	12	15	28%	5%	59	-1.1	.188/.236/.349	.161	.267	20	5	37%	5%	56	-1.3	.194/.269/.375	.181	.237	26	7	31%	7%	74	-0.0
✕Sam Huff 2019 · A	21	37→40	45→55	50→45	31	.186/.231/.310	.124	.301	13	6	42%	5%	43	-2.2	.199/.242/.350	.151	.317	20	5	42%	4%	59	-1.1	.214/.277/.391	.177	.310	27	1	38%	7%	81	+0.2
✕George Feliz 2023 · A	20	37	40→50	54→40	36	.181/.238/.275	.093	.295	8	12	40%	6%	37	-2.6	.178/.240/.280	.102	.317	11	11	44%	6%	40	-2.4	.168/.232/.286	.119	.279	15	9	43%	6%	36	-1.0
✕Nelson Velázquez 2019 · A	20	39→38	42→60	50	34	.188/.242/.286	.098	.322	11	9	43%	6%	42	-2.3	.208/.252/.318	.110	.329	11	9	38%	5%	54	-1.4	.200/.270/.389	.189	.255	26	12	33%	8%	79	+0.2
✕Luis Yanel Diaz 2021 · A	21	36→43	41→45	54→55	30	.180/.215/.277	.097	.299	9	12	42%	4%	27	-3.3	.193/.242/.319	.126	.343	14	15	45%	5%	50	-1.7	.190/.244/.313	.124	.313	14	21	42%	5%	47	-1.1
✕Travis Demeritte 2016 · A	21	37→43	47→60	51→50	35	.181/.250/.314	.133	.320	15	9	46%	7%	53	-1.5	.186/.249/.337	.151	.302	17	9	42%	7%	59	-1.1	.204/.271/.391	.188	.288	24	7	37%	8%	79	+0.2
✕Juan Jerez 2023 · A	21	41	44→50	55	36	.195/.259/.308	.113	.329	11	17	42%	7%	56	-1.3	.193/.266/.298	.105	.343	9	18	42%	8%	56	-1.3	.160/.276/.261	.101	.279	8	35	40%	13%	55	-0.3
✕Kelvin Diaz 2023 · A	20	38	42→50	55→60	36	.186/.253/.291	.105	.285	9	18	36%	6%	49	-1.8	.175/.246/.265	.090	.299	8	23	41%	7%	39	-2.5	.142/.213/.221	.079	.252	8	29	44%	7%	13	-1.4
✕Ismael Alcantara 2021 · A	22	42→30	38→45	56→50	41	.197/.266/.279	.082	.311	5	16	36%	8%	50	-1.7	.214/.271/.343	.129	.318	13	13	35%	6%	69	-0.4	.203/.261/.318	.115	.298	12	16	35%	6%	54	-0.8
✕Alexander Suarez 2023 · A	21	39→36	44→45	53→55	28	.187/.241/.304	.117	.324	12	13	44%	4%	47	-1.9	.194/.242/.301	.107	.307	11	17	39%	4%	46	-2.0	.186/.232/.285	.100	.287	11	21	38%	3%	35	-1.4
✕Jamari Baylor 2023 · A	22	40	42→45	50→55	41	.172/.280/.276	.105	.337	10	18	46%	10%	58	-1.2	.187/.287/.297	.110	.339	11	16	43%	10%	66	-0.6	.170/.275/.273	.103	.306	12	18	43%	10%	53	-0.5
✕Todd Glaesmann 2012 · A	21	38→44	39→50	52→50	31	.182/.232/.267	.086	.307	6	12	41%	5%	33	-2.9	.207/.248/.321	.114	.295	11	7	32%	4%	53	-1.5	.206/.236/.350	.145	.264	16	7	29%	3%	53	-0.8
✕Travis Witherspoon 2010 · A	21	38→47	42→45	55	32	.188/.231/.289	.101	.295	9	10	38%	4%	37	-2.6	.212/.257/.320	.108	.300	11	19	32%	5%	56	-1.3	.218/.270/.331	.113	.293	13	25	29%	6%	61	-0.8
✕Amador Arias 2022 · A	21	40	43→45	53→50	35	.181/.255/.292	.111	.343	11	14	47%	8%	50	-1.7	.171/.245/.274	.103	.314	11	8	45%	8%	41	-2.3	.124/.205/.216	.092	.216	11	4	46%	8%	7	-2.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)