Coby Morales — OGILVIE

Coby Morales1B Somerset Patriots

Age 24 L/R 6'1" / 225 lbs AA HR +14% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION541 act + 10 ros · stats below = ROS only

showingROS

wRC+†88

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

PA10

HR0

K%30

BB%10

BABIP325

ISO111

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 40 / POW 40

Toolsscout grade

CONTACT40

scouting grade only

POWER40

scouting grade only

EYE40

scouting grade only

SPEED50

scouting grade only

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	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Arb-1	$0.2M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-2M	+$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)
2023	21	A	Tampa Tarpons	—	49	41	12	7	0	1	8	15	0	0	1	293	408	537	945	244	440	31	16	414	166	+4	-0	—	—	+1	0.5
2024	22	A+	Hudson Valley Renegades	—	60	49	14	2	0	0	10	16	1	3	1	286	417	327	743	41	424	27	17	352	125	+2	+0	—	—	+1	0.3
2024	22	A	Tampa Tarpons	—	382	326	81	9	1	4	48	113	7	31	7	248	357	319	676	71	367	30	13	316	100	+0	+3	—	—	+8	1.2
2025	23	AA	Somerset Patriots	—	96	90	19	3	0	0	6	31	0	2	0	211	260	244	505	33	322	32	6	235	45	-6	+0	—	—	+2	-0.4
2025	23	A+	Hudson Valley Renegades	—	382	338	85	18	3	7	37	92	5	15	3	251	334	385	719	133	324	24	10	324	105	+2	+2	—	—	+8	1.3
2025	23	INTL	Mesa Solar Sox	—	31	27	9	2	0	1	3	9	1	2	2	333	419	519	938	185	471	29	10	416	168	+3	-0	—	—	+1	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	21	A MLE	Tampa Tarpons	—	49	43	10	6	0	1	6	22	0	0	1	233	327	442	768	209	422	45	12	307	94	-0	-0	—	—	+1	0.0
2024	22	A+ MLE	Hudson Valley Renegades	—	60	53	11	1	0	0	6	23	1	3	1	208	300	226	526	19	373	38	10	254	58	-3	+0	—	—	+1	-0.2
2024	22	A MLE	Tampa Tarpons	—	382	340	60	7	1	3	34	167	7	31	7	176	265	229	495	53	326	44	9	227	40	-27	+3	—	—	+8	-1.6
2025	23	AA MLE	Somerset Patriots	—	96	92	18	3	0	0	4	39	0	2	0	196	229	228	457	33	325	41	4	197	19	-9	+0	—	—	+2	-0.7
2025	23	A+ MLE	Hudson Valley Renegades	—	382	350	70	13	3	5	25	125	5	15	3	200	263	297	560	97	291	33	7	250	55	-20	+2	—	—	+8	-1.0
2023	21	A MLE	Tampa Tarpons	—	49	43	10	6	0	1	6	22	0	0	1	233	327	442	768	209	450	45	12	307	94	—	—	—	—	—	—
2023	21	A RAW	Tampa Tarpons	—	49	41	12	7	0	1	8	15	0	0	1	293	408	537	945	244	440	31	16	414	94	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	442	393	71	8	1	3	40	190	8	34	8	181	270	229	499	48	338	43	9	231	42	—	—	—	—	—	—
2024	22	A RAW	2 teams	—	442	375	95	11	1	4	58	129	8	34	8	253	365	320	685	67	374	29	13	321	42	—	—	—	—	—	—
2025	23	A+ MLE	3 teams	—	509	470	94	17	3	6	31	175	6	19	5	200	258	287	546	87	302	34	6	239	48	—	—	—	—	—	—
2025	23	A+ RAW	3 teams	—	509	455	113	23	3	8	46	132	6	19	5	248	325	365	690	116	331	26	9	312	48	—	—	—	—	—	—
2023	21	A MLE	Tampa Tarpons	—	49	43	10	6	0	1	6	22	0	0	1	233	327	442	768	209	422	45	12	307	94	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	442	391	71	8	1	3	40	190	8	34	8	182	270	230	500	49	332	43	9	231	42	—	—	—	—	—	—
2025	23	A+ MLE	3 teams	—	509	467	94	17	3	6	31	175	6	19	5	201	258	289	547	88	298	34	6	239	48	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A MLE	Tampa Tarpons	—	49	43	10	6	0	1	6	22	0	0	1	233	327	442	768	209	422	45	12	307	94	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	442	391	71	8	1	3	40	190	8	34	8	182	270	230	500	49	332	43	9	231	42	—	—	—	—	—	—
2025	23	A+ MLE	3 teams	—	509	467	94	17	3	6	31	175	6	19	5	201	258	289	547	88	298	34	6	239	48	—	—	—	—	—	—
YTD	24	AA MLE	NYY	—	541	489	121	19	4	16	48	162	0	21	10	247	315	401	716	153	333	30	9	310	96	-3	+0	+0	-10	+12	-0.0
▸ 2026 season
YTD	24	AA RAW	NYY	—	541	468	132	21	4	21	69	133	0	21	10	282	374	479	853	197	349	25	13	375	96	—	—	—	—	—	—
ROS	24	AA MLE	NYY	2%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		323	30	10	299	88	-0	+0	+0	-0	+0	-0.0
TOT	24	AA MLE	NYY	—	551	498	122	19	4	16	49	165	0	21	10	245	313	396	708	151	330	30	9	310	96	-3	+0	+0	-10	+12	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	NYY	31%	581	525	124	20	4	15	49	176	2	16	7	236	304	375	679	139	320	30	8	301	90	-7	+0	+0	-10	+13	-0.5
2028	26	MLB MLE	NYY	45%	605	547	129	21	4	16	51	179	2	17	7	236	303	377	680	141	317	30	8	303	91	-6	+1	+0	-11	+13	-0.3
2029	27	MLB MLE	NYY	49%	610	549	130	22	4	16	53	179	3	17	7	237	307	379	686	142	316	29	9	304	92	-6	+1	+0	-11	+13	-0.3
2030	28	MLB MLE	NYY	52%	609	548	128	21	3	16	53	178	3	16	7	234	305	370	675	137	315	29	9	304	92	-6	+0	-1	-11	+13	-0.4
2031	29	MLB MLE	NYY	52%	604	543	127	21	3	16	53	178	3	15	6	234	306	372	678	138	314	29	9	302	91	-7	+1	-1	-11	+13	-0.5
2032	30	MLB MLE	NYY	52%	414	373	85	14	2	10	36	123	2	9	4	228	299	357	656	129	312	30	9	299	89	-6	+0	-2	-7	+9	-0.6
2027	25	MLB CTX	NYY	31%	180	162	38	6	1	5	15	54	1	5	2	235	303	377	680	142	322	30	8	302	90	-2	+0	+0	-3	+4	-0.1
2028	26	MLB CTX	NYY	45%	270	244	59	10	2	8	23	80	1	8	3	242	310	398	707	156	319	30	9	305	91	-3	+0	+0	-5	+6	-0.1
2029	27	MLB CTX	NYY	49%	300	270	65	11	2	8	26	88	1	8	3	241	310	385	695	144	318	29	9	306	92	-3	+0	+0	-5	+6	-0.1
2030	28	MLB CTX	NYY	52%	314	283	67	11	2	9	27	92	1	8	3	237	305	385	691	148	317	29	9	305	92	-3	+0	-0	-6	+7	-0.2
2031	29	MLB CTX	NYY	52%	311	280	67	11	2	9	27	92	1	8	3	239	308	389	698	150	316	30	9	303	91	-4	+0	-1	-6	+7	-0.3
2032	30	MLB CTX	NYY	52%	213	191	45	7	1	6	19	63	1	5	2	236	308	377	685	141	314	30	9	300	89	-3	+0	-1	-4	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1588	1430	341	56	10	45	137	469	6	42	16	238	308	386	694	148	320	30	9	304	81	-17	+2	-2	-28	+34	-1.2
/ 162G	—	A+C		—	650	585	139	23	4	18	56	192	2	17	7	238	306	383	689	145	319	30	9	304	81	-7	+1	-1	-12	+14	-0.5
Career	—	MLE		—	4433	4000	899	150	24	99	373	1403	29	143	52	225	296	348	644	124	318	32	8	288	81	-38	+3	-4	-61	+74	-2.6
/ 162G	—	MLE		—	650	587	133	22	4	15	55	206	4	21	8	227	298	354	652	128	320	32	8	288	81	-7	+1	-1	-12	+14	-0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#3Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
#4Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#5Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.4	1,595	41	42	235	302	374	-10	+0	1.9	1.9
/162	664	17	18	-4.0	+0.0	0.8	pk7: 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
Coby Morales (OGILVIE)	24	40	40	50	40	232/298/364	132	323	8	11	31%	8%	88	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Slade Heathcott 2015 · AA	24	46	42→45	50	39	219/269/327	109	314	9	15	32%	6%	68	-1.0	229/280/332	103	319	9	10	29%	6%	73	-0.6	217/284/334	117	310	11	11	32%	7%	72	-0.3
✕Jordan Danks 2011 · AAA	24	47→50	41→45	50	40	221/276/326	104	322	8	13	32%	6%	70	-0.8	229/293/347	118	329	11	15	31%	8%	82	-0.0	234/306/352	119	326	13	11	30%	9%	86	+0.2
✕Travis Swaggerty 2022 · AAA	24	44	43→45	52→55	45	214/281/321	107	290	11	16	29%	8%	71	-0.8	211/274/323	112	303	9	19	31%	8%	69	-0.9	205/272/308	104	303	7	20	32%	8%	61	-0.7
✕Justin Toerner 2021 · AA	24	45→40	43→40	47→50	47	216/301/320	104	307	11	12	31%	9%	79	-0.2	190/282/294	104	284	11	9	34%	9%	67	-1.1	165/268/263	98	246	11	9	34%	10%	53	-1.0
✕Oliver Dunn 2022 · AA	24	39→46	44→45	53→55	46	189/273/305	116	294	11	14	37%	10%	65	-1.2	219/303/367	148	341	14	14	36%	10%	91	+0.6	202/286/331	129	310	11	20	35%	9%	73	-0.4
✕Gage Green 2017 · A	24	42	40→45	46→50	40	206/268/295	88	284	8	10	29%	6%	60	-1.6	204/262/292	88	281	7	8	28%	6%	57	-1.8	172/221/235	63	228	0	0	23%	4%	30	-0.7
✕Kameron Misner 2022 · AA	24	42→43	43→50	55	42	201/275/318	118	315	10	19	37%	8%	69	-0.9	199/288/334	135	319	14	23	38%	11%	78	-0.3	189/285/327	138	300	14	26	38%	11%	72	-0.6
✕Gabe Matthews 2022 · AAA	24	41→42	43→50	50→40	42	199/279/313	114	301	11	7	35%	8%	70	-0.9	197/288/330	133	299	15	4	36%	9%	78	-0.3	184/284/315	132	277	16	2	36%	10%	71	-0.6
✕Conner Capel 2021 · AAA	24	43→45	43→45	47→55	41	213/262/320	106	283	10	11	28%	6%	63	-1.3	217/281/341	124	273	13	15	24%	8%	76	-0.4	213/285/332	119	269	12	19	24%	8%	72	-0.5
✕Forrest Wall 2021 · AAA	25	45→55	43→45	50→70	43	218/279/334	115	298	10	16	29%	7%	73	-0.6	221/281/313	92	324	6	45	31%	7%	69	-0.9	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Quincy Hamilton 2022 · A	24	46	40→50	51→50	46	220/296/311	91	301	8	15	28%	8%	75	-0.5	221/301/359	138	285	15	14	26%	9%	88	+0.4	208/293/354	146	263	17	14	27%	9%	81	-0.0
✕Daniel Schneemann 2022 · AA	25	44→49	43→50	52→50	41	217/271/324	107	293	11	14	29%	6%	68	-1.0	211/276/320	109	286	10	16	28%	8%	70	-0.9	223/303/368	144	295	14	13	28%	10%	87	+0.3
✕Daz Cameron 2021 · MLB	24	41→45	43→50	52→55	42	198/270/313	115	288	9	16	33%	7%	65	-1.2	211/274/338	127	291	13	20	30%	7%	73	-0.6	225/296/393	168	284	19	27	27%	8%	91	+0.3
✕Ronnie Dawson 2019 · AA	24	45→48	45	50→55	40	220/277/344	124	307	13	19	32%	6%	75	-0.5	198/265/318	120	289	12	16	34%	7%	65	-1.2	192/264/296	105	275	10	15	32%	7%	57	-1.3
✕Ricardo Gastelum 2008 · AAA	24	44	40	51→40	41	215/261/306	91	283	7	10	26%	5%	59	-1.6	251/295/341	90	311	7	7	21%	5%	80	-0.2	270/312/346	76	329	5	3	19%	4%	86	+0.1
✕Aneury Tavárez 2016 · AAA	24	43→53	43→45	51→50	34	212/251/327	115	304	10	15	33%	4%	61	-1.5	243/283/352	109	315	8	16	24%	5%	78	-0.3	244/284/346	102	313	6	16	23%	5%	75	-0.3
✕John Rave 2022 · A	24	41→47	47→50	54→55	40	204/273/334	130	311	15	14	38%	8%	72	-0.7	216/283/343	127	305	14	15	32%	8%	77	-0.3	222/295/374	153	277	16	24	25%	9%	86	+0.3
✕Taylor Trammell 2021 · AA	23	42→46	40→55	51→55	46	203/278/290	87	288	8	17	30%	9%	63	-1.3	213/292/373	160	289	19	15	31%	9%	88	+0.4	203/297/373	170	273	21	23	32%	11%	88	+0.3
✕James Ramsey 2014 · AA	24	47→52	44→45	50→45	46	223/299/337	114	314	11	10	31%	9%	82	-0.0	228/289/347	119	323	12	7	31%	7%	80	-0.1	224/281/341	117	320	11	5	32%	6%	73	-0.5
✕Nick Maton 2021 · AA	24	43→42	41→50	45	44	209/271/304	95	284	8	9	28%	7%	63	-1.3	210/292/333	123	284	11	7	28%	9%	78	-0.3	208/300/350	141	261	16	4	25%	10%	84	+0.1

Career Stats + Projections

Career Comps

Career Path Comps