Jorgelys Mota — OGILVIE

Jorgelys MotaSS Wilmington Blue Rocks

Age 21 R/R 6'3" / 170 lbs A+ Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION124 act + 15 ros · stats below = ROS only

showingROS

wRC+†40

AVG/OBP/SLG.143 / .200 / .143

PA15

HR0

K%40

BB%7

BABIP288

ISO75

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$7M ctrl surplus

Tools · ContractCON 25 / POW 54

Toolsscout grade

CONTACT25

scouting grade only

POWER54

scouting grade only

EYE40

scouting grade only

SPEED60

scouting grade only

DEFENSE49

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	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Arb-1	$1M	+0.1	$0.3M	+$0.0M (cut)
2032	Arb-2	$2M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-3	$2M	—	—	—
Totals		$0.0M		$-0.8M	+$0.0M

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 Nationals	—	73	65	17	1	1	2	6	22	2	4	2	262	342	400	742	138	366	30	8	335	113	+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	64	-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	144	+5	-1	—	—	+2	0.7
2024	19	A	Fredericksburg Nationals	—	111	102	26	4	2	0	5	39	4	3	2	255	315	333	649	78	413	35	5	296	87	-2	-0	—	—	+2	0.0
2024	19	ROK	FCL Nationals	—	181	162	31	3	0	3	13	60	5	12	5	191	272	265	538	74	280	33	7	251	56	-9	+0	—	—	+4	-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	114	+6	+2	—	—	+7	1.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Nationals	—	73	67	12	1	1	1	4	32	2	4	2	179	247	269	515	90	296	44	5	218	34	-6	+0	—	—	+2	-0.4
2023	18	A MLE	Fredericksburg Nationals	—	15	13	1	0	0	0	1	10	1	1	0	77	200	77	277		270	67	7	139	-20	-2	+0	—	—	+0	-0.2
2023	18	ROK MLE	FCL Nationals	—	98	89	19	3	1	1	5	44	3	1	2	213	278	303	582	90	385	45	5	252	57	-5	-1	—	—	+2	-0.4
2024	19	A MLE	Fredericksburg Nationals	—	111	104	19	3	1	0	3	53	4	3	2	183	234	231	465	48	384	48	3	214	31	-9	-0	—	—	+2	-0.7
2024	19	ROK MLE	FCL Nationals	—	181	167	21	2	0	2	8	87	5	12	5	126	189	174	363	48	232	48	4	164	-3	-22	+0	—	—	+4	-1.8
2025	20	A MLE	Fredericksburg Nationals	—	328	305	57	11	2	4	17	148	6	25	7	187	244	275	519	89	345	45	5	231	42	-22	+2	—	—	+7	-1.3
2022	17	ROK MLE	DSL Nationals	—	73	67	12	1	1	1	4	32	2	4	2	179	247	269	515	90	324	44	5	218	34	—	—	—	—	—	—
2022	17	ROK RAW	DSL Nationals	—	73	65	17	1	1	2	6	22	2	4	2	262	342	400	742	138	366	30	8	335	34	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	113	102	20	3	2	1	6	54	4	2	2	196	268	294	562	98	396	48	5	237	47	—	—	—	—	—	—
2023	18	ROK RAW	2 teams	—	113	98	29	5	3	1	10	38	4	2	2	296	384	439	823	143	467	34	9	366	47	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	292	271	41	5	1	2	11	140	9	15	7	151	210	199	409	48	300	48	4	183	10	—	—	—	—	—	—
2024	19	ROK RAW	2 teams	—	292	264	57	7	2	3	18	99	9	15	7	216	289	292	580	76	331	34	6	268	10	—	—	—	—	—	—
2025	20	A MLE	Fredericksburg Nationals	—	328	305	57	11	2	4	17	148	6	25	7	187	244	275	519	89	346	45	5	231	42	—	—	—	—	—	—
2025	20	A RAW	Fredericksburg Nationals	—	328	296	80	17	3	6	26	101	6	25	7	270	341	409	750	139	392	31	8	337	42	—	—	—	—	—	—
2022	17	ROK MLE	DSL Nationals	—	73	67	12	1	1	1	4	32	2	4	2	179	247	269	515	90	296	44	5	218	34	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	113	102	20	3	2	1	6	54	4	2	2	196	268	294	562	98	370	48	5	237	47	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	292	270	41	5	1	2	11	140	9	15	7	152	210	200	410	48	290	48	4	183	10	—	—	—	—	—	—
2025	20	A MLE	Fredericksburg Nationals	—	328	302	57	11	2	4	17	148	6	25	7	189	244	278	522	89	345	45	5	231	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	2 teams	—	113	102	20	3	2	1	6	54	4	2	2	196	268	294	562	98	370	48	5	237	47	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	292	270	41	5	1	2	11	140	9	15	7	152	210	200	410	48	290	48	4	183	10	—	—	—	—	—	—
2025	20	A MLE	Fredericksburg Nationals	—	328	302	57	11	2	4	17	148	6	25	7	189	244	278	522	89	345	45	5	231	42	—	—	—	—	—	—
YTD	21	A+ MLE	WSH	—	124	105	20	2	0	2	10	53	8	13	3	190	309	267	576	76	353	43	8	267	67	-5	+1	+0	+1	+3	0.1
▸ 2026 season
YTD	21	ROK RAW	WSH	—	15	12	5	1	0	1	1	5	1	2	0	417	500	750	1.250	333	571	33	7	501	67	—	—	—	—	—	—
YTD	21	A RAW	WSH	—	21	16	5	0	0	2	3	6	2	1	2	312	476	688	1.164	375	375	29	14	497	67	—	—	—	—	—	—
YTD	21	A+ RAW	WSH	—	88	71	15	2	0	0	12	28	5	10	1	211	364	239	603	28	349	32	14	300	67	—	—	—	—	—	—
ROS	21	A+ MLE	WSH	0%	15	14	2	0	0	0	1	6	0	1	0	143	200	143	343		289	40	7	227	40	-1	+0	-0	+0	+0	-0.0
TOT	21	A+ MLE	WSH	—	139	119	22	2	0	2	11	59	8	14	3	185	297	252	549	67	339	42	8	262	64	-6	+2	-0	+1	+3	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	WSH	35%	375	340	61	10	1	6	22	147	10	13	4	179	250	268	518	88	291	39	6	242	50	-22	+1	-1	+4	+8	-1.0
2028	23	MLB MLE	WSH	49%	446	404	78	13	2	10	28	168	11	14	4	193	264	309	574	116	293	38	6	258	61	-21	+1	-1	+5	+10	-0.6
2029	24	MLB MLE	WSH	53%	493	446	88	14	2	13	32	181	12	15	4	197	269	325	594	128	294	37	6	269	68	-19	+1	-1	+5	+11	-0.2
2030	25	MLB MLE	WSH	55%	519	468	94	15	2	15	34	188	12	15	4	201	272	338	610	137	295	36	7	275	72	-17	+1	-1	+6	+11	0.0
2031	26	MLB MLE	WSH	56%	533	480	98	16	2	16	35	193	13	15	4	204	277	346	622	142	295	36	7	279	75	-16	+1	-1	+6	+12	0.2
2032	27	MLB MLE	WSH	55%	537	483	98	16	2	16	36	195	13	14	4	203	276	344	620	141	295	36	7	279	75	-16	+1	-1	+6	+12	0.1
2033	28	MLB MLE	WSH	55%	534	480	96	15	2	16	36	194	13	13	4	200	274	340	614	140	294	36	7	278	74	-16	+1	-2	+6	+12	0.0
2034	29	MLB MLE	WSH	53%	526	473	95	15	2	16	36	192	12	12	3	201	274	342	617	142	294	37	7	276	73	-17	+1	-2	+6	+11	-0.1
2035	30	MLB MLE	WSH	57%	517	464	92	14	2	15	36	190	12	12	3	198	273	334	607	136	292	37	7	274	71	-18	+1	-3	+6	+11	-0.3
2027	22	MLB CTX	WSH	35%	130	118	20	3	0	2	8	51	3	4	1	169	240	246	486	76	290	39	6	222	50	-8	+0	-0	+1	+3	-0.3
2028	23	MLB CTX	WSH	49%	216	196	38	6	1	5	13	81	5	7	2	194	262	311	573	117	292	38	6	239	61	-10	+1	-0	+2	+5	-0.3
2029	24	MLB CTX	WSH	53%	260	235	47	8	1	7	17	95	6	8	2	200	271	332	603	132	293	37	7	250	68	-10	+1	-0	+3	+6	-0.1
2030	25	MLB CTX	WSH	55%	284	256	51	8	1	8	19	103	7	8	2	199	273	332	605	133	293	36	7	257	72	-9	+1	-1	+3	+6	0.0
2031	26	MLB CTX	WSH	56%	297	268	55	9	1	9	20	107	7	8	2	205	278	347	625	142	294	36	7	260	75	-9	+1	-1	+3	+6	0.1
2032	27	MLB CTX	WSH	55%	295	266	54	9	1	9	20	107	7	8	2	203	276	346	622	143	293	36	7	260	75	-9	+1	-1	+3	+6	0.1
2033	28	MLB CTX	WSH	55%	292	263	53	8	1	9	20	106	7	7	2	202	276	342	618	141	293	36	7	259	74	-9	+1	-1	+3	+6	0.0
2034	29	MLB CTX	WSH	53%	281	253	50	8	1	8	19	103	7	7	2	198	272	332	604	134	292	37	7	258	73	-9	+1	-1	+3	+6	-0.1
2035	30	MLB CTX	WSH	57%	295	266	53	8	1	9	20	109	7	7	2	199	273	338	611	139	291	37	7	255	71	-10	+1	-2	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2350	2121	421	67	8	66	156	862	56	64	17	198	271	331	602	132	295	37	7	254	64	-83	+6	-7	+25	+51	-0.8
/ 162G	—	A+C		—	650	587	116	19	2	18	43	238	15	18	5	198	269	329	598	131	294	37	7	254	64	-23	+2	-2	+7	+14	-0.2
Career	—	MLE		—	5301	4797	932	148	23	131	334	2028	129	170	52	194	265	317	582	122	301	38	6	262	64	-163	+11	-13	+48	+97	-1.9
/ 162G	—	MLE		—	650	588	114	18	3	16	41	249	16	21	6	194	265	316	581	122	301	38	6	262	64	-24	+2	-2	+7	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#2Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.5	2,351	65	64	200	269	333	+25	-2	1.3	1.5
/162	664	18	18	+7.1	-0.5	0.4	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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	22→25	42→54	60	40	170/241/244	74	289	4	15	41%	6%	40	-1.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jase Bowen 2022 · A	21	37→40	42→50	54→55	35	184/245/283	99	282	10	12	37%	5%	50	-2.3	197/252/315	118	289	14	16	35%	5%	59	-1.6	203/254/335	133	288	14	24	34%	5%	62	-0.9
✕Monte Harrison 2017 · A	21	38→44	39→50	52→60	34	177/245/258	81	304	6	14	41%	6%	44	-2.8	207/262/331	124	336	14	19	40%	5%	67	-1.1	192/260/311	120	338	15	41	45%	7%	59	-0.8
✕Narciso Crook 2016 · A	21	37→43	42→50	53→50	32	188/220/289	102	281	9	12	36%	4%	40	-3.1	199/245/307	108	298	10	10	35%	5%	54	-2.0	206/268/351	145	302	15	14	35%	6%	70	-0.6
✕Frankeny Fernandez 2017 · A	20	36	38→40	53→60	42	174/248/255	81	275	5	19	36%	8%	45	-2.7	193/258/268	75	281	5	10	31%	7%	51	-2.3	172/238/215	43	239	3	6	27%	7%	30	-1.1
✕George Feliz 2023 · A	20	36	40→50	54→45	36	177/235/269	91	291	8	13	40%	6%	42	-2.9	176/238/276	100	311	10	11	44%	6%	45	-2.7	164/227/275	111	272	14	9	43%	6%	39	-1.1
✕Todd Glaesmann 2012 · A	21	37→44	39→50	52→50	30	176/226/259	83	311	6	12	43%	5%	36	-3.3	207/247/319	112	293	10	7	32%	4%	58	-1.7	207/238/349	142	264	15	7	28%	3%	59	-0.9
✕Kelvin Diaz 2023 · A	20	37	42→50	55→60	36	183/250/290	107	281	9	19	36%	5%	53	-2.1	173/244/263	90	299	8	23	41%	7%	45	-2.7	142/213/220	78	253	8	29	44%	7%	23	-1.4
✕Junior Perez 2022 · A	21	38→39	42→50	54→55	36	173/244/281	108	326	9	17	46%	8%	49	-2.4	182/254/294	112	319	11	24	43%	8%	56	-1.9	167/239/308	141	259	16	25	40%	8%	52	-1.7
✕Luis Yanel Diaz 2021 · A	21	37→41	42→45	53→55	30	183/218/283	100	306	9	11	42%	4%	38	-3.2	192/242/316	124	345	13	15	45%	5%	55	-1.9	186/240/307	121	311	14	21	43%	5%	51	-1.3
✕Travis Witherspoon 2010 · A	21	37→47	42→45	56→55	31	185/227/287	102	290	9	10	39%	4%	42	-2.9	213/259/322	109	302	11	19	32%	5%	63	-1.4	209/269/335	126	275	14	25	28%	7%	67	-0.9
✕Ismael Alcantara 2019 · A	20	39→29	38→45	51→50	41	185/255/266	81	281	5	13	34%	7%	49	-2.4	210/275/314	104	329	8	15	36%	7%	68	-1.0	190/253/306	116	287	12	16	36%	6%	55	-0.9
✕Brandon Dailey 2013 · A	21	42	40→45	55	37	203/248/300	97	293	7	12	32%	5%	53	-2.1	194/247/296	102	286	9	6	34%	6%	53	-2.1	142/197/217	75	196	6	0	30%	5%	15	-1.1
✕James Simmons 2008 · A	22	38	39→55	52→55	36	177/240/270	93	303	6	11	41%	7%	44	-2.8	194/246/286	92	334	7	16	41%	6%	50	-2.3	199/258/357	158	353	21	18	47%	7%	68	-0.5
✕Victor Soto 2010 · A	21	39	37→45	56→60	40	188/240/265	77	263	3	22	29%	5%	42	-2.9	199/243/272	73	293	3	14	31%	5%	45	-2.7	187/218/237	50	279	0	18	32%	3%	25	-0.8
✕GJ Hill 2022 · A	21	37→28	39→50	57→55	29	158/222/244	86	347	7	21	53%	6%	32	-3.7	174/243/284	110	332	12	15	48%	7%	49	-2.4	173/234/327	154	248	20	28	38%	6%	53	-1.1
✕Juan Jerez 2023 · A	21	40	43→50	55	36	190/254/299	109	326	11	17	42%	7%	57	-1.8	193/266/297	104	343	9	18	42%	8%	61	-1.5	163/279/265	102	280	7	35	39%	13%	62	-0.3
✕Justin Trapp 2012 · A	21	42→45	39→45	54→55	39	200/255/283	83	294	6	21	33%	6%	53	-2.1	214/269/314	100	296	9	16	29%	6%	65	-1.2	214/269/307	93	291	8	15	28%	5%	60	-1.3
✕Junior Arias 2013 · A	21	36→43	42→45	52→60	33	185/223/284	99	274	10	16	36%	4%	40	-3.0	202/238/306	104	300	11	30	35%	4%	51	-2.3	195/239/312	117	296	15	30	38%	5%	50	-1.0
✕Cameron Cauley 2023 · A	20	39→44	37→50	60	37	182/239/252	71	301	4	28	39%	6%	39	-3.1	192/245/308	116	310	11	26	39%	6%	55	-2.0	202/258/341	139	281	14	30	32%	7%	65	-1.0
✕Pablo Aliendo 2021 · A	20	40	37→50	50→45	41	186/263/256	70	295	4	13	35%	8%	50	-2.3	197/264/292	95	299	9	5	35%	6%	59	-1.6	197/266/334	137	285	16	5	35%	7%	66	-0.6

Career Stats + Projections

Career Comps

Career Path Comps