Emil Morales — OGILVIE

Emil MoralesSS Great Lakes Loons

Age 19 R/R 6'3" / 191 lbs A+ HR +8%BB -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION547 act + 10 ros · stats below = ROS only

showingROS

wRC+†94

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

PA10

HR0

K%30

BB%10

BABIP296

ISO161

MLB%4%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$130M ctrl surplus

Tools · ContractCON 48 / POW 62

Toolsscout grade

CONTACT48

scouting grade only

POWER62

scouting grade only

EYE48

scouting grade only

SPEED49

scouting grade only

DEFENSE49

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+2.7	$17M	+$16M
2031	Pre-Arb	$0.9M	+2.8	$16M	+$16M
2032	Pre-Arb	$0.9M	+2.9	$16M	+$16M
2033	Arb-1	$9M	+3.0	$16M	+$12M
2034	Arb-2	$14M	+2.9	$14M	+$8M
2035	Arb-3	$20M	+2.8	$12M	+$4M
Totals		$46M		$91M	+$72M

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)
2024	17	ROK	DSL LAD Mega	—	201	152	52	11	0	14	40	45	4	12	2	342	490	691	1.181	349	388	22	20	490	218	+28	+2	—	—	+4	3.5
2025	18	A	Rancho Cucamonga Quakes	—	143	124	42	11	0	5	17	33	1	5	0	339	423	548	971	210	425	23	12	424	173	+12	+1	—	—	+3	1.7
2025	18	ROK	ACL Dodgers	—	269	233	70	13	3	9	31	76	2	6	3	300	387	498	885	197	404	28	12	387	148	+15	+0	—	—	+6	2.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL LAD Mega	—	201	168	40	8	0	10	24	65	4	12	2	238	347	464	811	226	286	32	12	347	121	+5	+2	—	—	+4	1.1
2025	18	A MLE	Rancho Cucamonga Quakes	—	143	129	35	8	0	4	12	45	1	5	0	271	338	426	764	155	376	31	8	335	113	+2	+1	—	—	+3	0.6
2025	18	ROK MLE	ACL Dodgers	—	269	245	46	7	2	5	19	110	2	6	3	188	252	294	546	106	299	41	7	242	50	-16	+0	—	—	+6	-1.0
2024	17	ROK MLE	DSL LAD Mega	—	201	168	40	8	0	10	24	65	4	12	2	238	347	464	811	226	306	32	12	347	121	—	—	—	—	—	—
2024	17	ROK RAW	DSL LAD Mega	—	201	152	52	11	0	14	40	45	4	12	2	342	490	691	1.181	349	388	22	20	490	121	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	412	374	81	16	2	9	31	155	3	11	3	217	282	342	624	126	336	38	8	274	72	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	412	357	112	24	3	14	48	109	3	11	3	314	400	515	915	202	412	26	12	400	72	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Mega	—	201	171	40	8	0	10	24	65	4	12	2	234	347	456	803	222	286	32	12	347	121	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	412	375	81	16	2	9	31	155	3	11	3	216	282	341	623	125	326	38	8	274	72	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL LAD Mega	—	201	171	40	8	0	10	24	65	4	12	2	234	347	456	803	222	286	32	12	347	121	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	412	375	81	16	2	9	31	155	3	11	3	216	282	341	623	125	326	38	8	274	72	—	—	—	—	—	—
YTD	19	A+ MLE	LAD	—	547	489	109	25	2	21	45	188	7	9	4	223	298	411	709	188	308	34	8	304	92	-5	+0	+0	+6	+12	1.3
▸ 2026 season
YTD	19	A RAW	LAD	—	179	158	51	15	3	6	15	47	3	2	1	323	392	570	962	247	417	26	8	412	92	—	—	—	—	—	—
YTD	19	A+ RAW	LAD	—	368	313	88	19	0	20	48	93	4	7	3	281	384	534	917	252	335	25	13	399	92	—	—	—	—	—	—
ROS	19	A+ MLE	LAD	4%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		300	30	10	307	94	-0	+0	-0	+0	+0	0.0
TOT	19	A+ MLE	LAD	—	557	498	110	25	2	21	46	191	7	9	4	221	296	406	701	185	305	34	8	304	92	-5	+0	-0	+6	+12	1.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	LAD	50%	581	521	119	25	2	22	49	188	6	8	3	228	302	411	713	182	305	32	8	313	98	-1	+0	-0	+6	+13	1.8
2028	21	MLB MLE	LAD	69%	609	544	127	26	2	25	53	190	7	9	3	233	310	426	736	193	306	31	9	324	105	+4	+1	-0	+7	+13	2.4
2029	22	MLB MLE	LAD	77%	627	560	133	27	2	27	55	189	7	10	3	237	314	438	751	200	306	30	9	333	112	+9	+1	-0	+7	+14	3.0
2030	23	MLB MLE	LAD	80%	638	569	138	28	2	29	57	189	7	10	4	243	319	452	771	209	307	30	9	339	116	+12	+0	-0	+7	+14	3.3
2031	24	MLB MLE	LAD	80%	637	566	139	28	2	30	58	186	8	11	4	246	324	461	785	216	307	29	9	343	119	+14	+1	-0	+7	+14	3.6
2032	25	MLB MLE	LAD	79%	639	568	139	28	2	30	58	186	8	11	4	245	323	460	783	215	307	29	9	346	120	+15	+1	-0	+7	+14	3.7
2033	26	MLB MLE	LAD	79%	642	570	141	28	2	31	59	187	8	11	4	247	327	467	793	219	307	29	9	347	121	+16	+1	-0	+7	+14	3.8
2034	27	MLB MLE	LAD	78%	639	566	140	28	2	31	60	186	8	11	4	247	328	468	796	221	307	29	9	347	121	+16	+1	-0	+7	+14	3.7
2035	28	MLB MLE	LAD	77%	633	560	137	27	2	30	60	186	8	11	4	245	326	461	787	216	307	29	9	346	120	+15	+1	-1	+7	+14	3.6
2036	29	MLB MLE	LAD	75%	621	550	134	27	2	29	59	183	7	10	4	244	325	458	783	215	306	29	10	344	119	+14	+0	-2	+7	+13	3.3
2037	30	MLB MLE	LAD	74%	610	540	130	26	2	28	58	182	7	10	3	241	322	452	774	211	305	30	10	342	117	+13	+1	-2	+7	+13	3.1
2038	31	MLB MLE	LAD	73%	595	527	126	25	2	27	56	179	7	9	3	239	320	448	768	209	303	30	9	338	115	+10	+1	-3	+6	+13	2.8
2039	32	MLB MLE	LAD	72%	577	511	120	23	2	26	54	176	7	8	3	235	316	440	757	205	300	31	9	332	111	+8	+0	-4	+6	+13	2.3
2040	33	MLB MLE	LAD	72%	547	485	112	21	2	24	51	169	6	7	2	231	312	431	743	200	295	31	9	325	106	+4	+1	-5	+6	+12	1.8
2041	34	MLB MLE	LAD	68%	499	445	98	18	1	21	46	158	5	5	2	220	300	407	707	187	289	32	9	316	100	-0	+0	-5	+5	+11	1.1
2042	35	MLB MLE	LAD	63%	443	394	85	15	1	18	41	143	5	4	2	216	298	396	694	180	281	32	9	305	93	-4	+0	-6	+5	+10	0.5
2043	36	MLB MLE	LAD	54%	382	340	70	12	1	14	35	127	4	3	1	206	288	371	658	165	274	33	9	294	85	-7	+0	-7	+4	+8	-0.1
2027	20	MLB CTX	LAD	50%	292	262	59	12	1	11	25	94	3	4	1	225	300	405	705	179	301	32	9	305	98	-1	+0	-0	+3	+6	0.9
2028	21	MLB CTX	LAD	69%	420	376	88	18	1	18	36	131	5	6	2	234	309	431	740	197	302	31	9	316	105	+3	+0	-0	+4	+9	1.7
2029	22	MLB CTX	LAD	77%	480	429	102	20	2	22	42	145	6	8	3	238	314	448	762	210	302	30	9	325	112	+7	+0	-0	+5	+10	2.3
2030	23	MLB CTX	LAD	80%	509	453	110	22	2	24	45	150	6	8	3	243	319	459	779	216	303	29	9	332	116	+10	+0	-0	+5	+11	2.7
2031	24	MLB CTX	LAD	80%	506	449	111	22	2	25	46	148	6	8	3	247	325	472	798	225	303	29	9	336	119	+11	+0	-0	+5	+11	2.8
2032	25	MLB CTX	LAD	79%	507	450	111	22	2	25	46	148	6	9	3	247	325	471	796	224	303	29	9	338	120	+12	+1	-0	+5	+11	2.9
2033	26	MLB CTX	LAD	79%	509	451	111	22	2	25	47	148	6	9	3	246	325	470	795	224	303	29	9	339	121	+13	+1	-0	+5	+11	3.0
2034	27	MLB CTX	LAD	78%	497	442	109	21	2	25	46	145	6	9	3	247	326	473	799	226	303	29	9	339	121	+12	+1	-0	+5	+11	2.9
2035	28	MLB CTX	LAD	77%	487	432	105	21	1	24	46	143	6	8	3	243	324	463	787	220	303	29	9	338	120	+12	+0	-1	+5	+11	2.8
2036	29	MLB CTX	LAD	75%	465	413	99	19	1	23	44	137	5	8	3	240	320	458	778	218	302	29	9	336	119	+11	+0	-1	+5	+10	2.5
2037	30	MLB CTX	LAD	74%	449	398	96	19	1	22	43	134	5	7	2	241	323	460	783	219	301	30	10	334	117	+9	+1	-2	+5	+10	2.3
2038	31	MLB CTX	LAD	73%	433	384	92	18	1	21	41	130	5	6	2	240	321	456	777	216	299	30	9	330	115	+8	+0	-2	+5	+9	2.0
2039	32	MLB CTX	LAD	72%	418	371	87	17	1	19	39	127	5	6	2	235	316	439	755	205	296	30	9	325	111	+5	+0	-3	+4	+9	1.7
2040	33	MLB CTX	LAD	72%	395	351	80	15	1	18	37	122	4	5	2	228	309	430	739	202	291	31	9	318	106	+3	+0	-3	+4	+9	1.3
2041	34	MLB CTX	LAD	68%	338	300	67	12	1	15	31	107	4	4	1	223	304	420	724	197	285	32	9	309	100	-0	+0	-4	+4	+7	0.8
2042	35	MLB CTX	LAD	63%	280	249	54	9	1	12	26	91	3	3	1	217	299	406	704	189	278	32	9	298	93	-2	+0	-4	+3	+6	0.3
2043	36	MLB CTX	LAD	54%	207	184	37	6	0	8	19	69	2	2	1	201	283	364	647	163	271	33	9	287	85	-4	+0	-4	+2	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	7192	6394	1518	295	22	337	659	2169	83	110	38	237	317	449	765	211	301	30	9	327	110	+108	+7	-26	+77	+156	32.8
/ 162G	—	A+C		—	650	578	137	27	2	30	60	196	8	10	3	237	318	446	764	209	301	30	9	327	110	+10	+1	-2	+7	+14	3.0
Career	—	MLE		—	10542	9367	2210	436	33	461	965	3227	122	171	58	236	315	437	753	201	305	31	9	331	110	+137	+8	-38	+106	+215	43.8
/ 162G	—	MLE		—	650	578	136	27	2	28	60	199	8	11	4	235	317	434	751	199	304	31	9	331	110	+9	+1	-2	+7	+14	2.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Curtis Grandersonlast yr '19 AS×3SS career totals — 15 seasons, 8,278 PA	12.5	8,278	344	153	249	337	466	-10	-4	47.5	42.0
/162	664	28	12	-0.8	-0.3	3.8	pk7: 36
#2Kyle Seagerlast yr '21 career totals — 11 seasons, 6,204 PA	9.3	6,204	242	55	251	321	442	+22	+55	35.4	32.4
/162	664	26	6	+2.4	+5.8	3.8	pk7: 29
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 12 projected seasons	10.9	7,205	323	109	239	315	446	+71	-3	38.7	30.4
/162	664	30	10	+6.6	-0.3	3.6	pk7: 22
#3Dan Ugglalast yr '15 career totals — 10 seasons, 5,509 PA	8.3	5,509	235	26	241	336	447	+20	-17	28.7	28.7
/162	664	28	3	+2.4	-2.1	3.5	pk7: 29
#4Brian Dozierlast yr '19 career totals — 8 seasons, 4,884 PA	7.4	4,884	192	105	245	326	442	+20	+24	27.7	27.6
/162	664	26	14	+2.7	+3.2	3.8	pk7: 28
#5Todd Frazierlast yr '20 career totals — 10 seasons, 4,909 PA	7.4	4,909	218	73	242	319	448	+18	+35	27.6	26.2
/162	664	29	10	+2.4	+4.7	3.7	pk7: 25
#6Evan Gattislast yr '18 career totals — 6 seasons, 2,662 PA	4.0	2,662	139	3	248	300	476	+30	+20	17.0	17.0
/162	664	35	1	+7.6	+4.9	4.2	pk7: 17

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
Emil Morales (OGILVIE)	19	42→48	53→62	49	48	219/293/393	174	300	11	5	33%	8%	94	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Junior Caminero 2022 · A	19	43→53	50→65	49→45	44	225/281/373	148	272	18	5	25%	7%	84	+0.1	251/299/413	162	303	21	7	24%	6%	99	+1.3	258/322/495	237	270	35	4	20%	8%	121	+2.8
●Gary Sánchez 2012 · A	19	43→50	50→65	45	38	219/270/369	150	311	18	4	35%	6%	79	-0.2	226/275/362	136	297	16	6	28%	6%	78	-0.3	240/315/462	222	266	31	4	23%	8%	115	+1.9
●Miguel Sanó 2013 · A	20	38→48	54→70	46→45	42	204/276/383	178	286	22	5	35%	8%	84	+0.2	224/304/440	216	310	27	7	35%	9%	108	+1.9	243/334/470	227	339	30	2	35%	11%	122	+2.7
●Jackson Chourio 2023 · AA	19	42→52	50→60	51→55	37	215/262/367	152	302	17	12	34%	6%	75	-0.5	250/295/412	162	311	18	23	25%	6%	97	+1.1	274/325/460	186	323	22	21	22%	7%	115	+2.3
✕Luis Torres 2023 · A	19	51	50→60	45→50	41	254/302/415	161	312	16	9	24%	5%	101	+1.4	215/280/315	100	345	8	5	37%	7%	70	-0.9	183/261/256	73	332	4	0	42%	8%	46	-0.6
✕Derek Norris 2010 · A	21	43→53	51→55	45→50	48	223/303/383	161	292	19	5	30%	10%	95	+0.9	204/301/365	161	275	19	9	31%	11%	90	+0.6	258/336/412	153	316	16	5	22%	10%	109	+1.5
★Corey Seager 2014 · A	20	45→55	50→65	50→45	43	233/287/390	157	292	18	9	27%	7%	90	+0.6	269/317/451	182	329	19	6	23%	6%	114	+2.4	287/349/471	183	334	20	4	19%	8%	128	+3.6
●Andy Pages 2021 · A	20	43→53	46→55	46→50	46	214/297/344	130	275	14	9	26%	8%	84	+0.1	213/299/399	186	281	23	6	32%	9%	97	+1.1	266/322/445	180	311	23	10	22%	6%	115	+2.3
✕Heriberto Hernández 2019 · A	19	43→48	54→60	46→50	55	223/325/414	191	274	20	7	26%	12%	109	+2.0	222/302/389	167	323	18	6	34%	9%	95	+1.0	219/301/418	199	277	26	10	30%	9%	100	+1.0
●Bo Bichette 2017 · A	19	50→60	47→60	53→55	40	246/288/387	141	326	13	8	28%	6%	88	+0.5	264/309/413	149	329	13	17	23%	6%	103	+1.5	296/337/473	177	345	22	13	20%	5%	126	+3.5
★Austin Riley 2016 · A	19	44→54	49→65	44→45	38	217/278/362	146	318	17	4	36%	6%	80	-0.1	216/263/362	146	315	17	3	35%	5%	74	-0.5	282/354/518	236	335	31	1	25%	8%	140	+4.9
✕Eric Campbell 2006 · A	20	43→49	55	50	39	228/278/420	192	294	23	12	31%	6%	94	+0.9	226/272/395	169	257	22	9	22%	5%	86	+0.3	227/289/374	147	255	18	3	18%	7%	85	+0.2
●Julio Rodríguez 2021 · A	20	49→56	47→60	48→55	41	242/295/387	145	313	13	6	26%	5%	91	+0.7	282/340/472	190	354	23	23	26%	7%	128	+3.3	287/348/497	210	352	27	29	25%	7%	132	+3.3
✕Marco Luciano 2021 · A	19	46→47	50	46→45	45	227/301/381	153	314	17	10	32%	8%	93	+0.8	206/269/350	144	298	17	5	35%	7%	74	-0.5	203/289/345	142	291	18	7	34%	10%	78	-0.2
●Jo Adell 2019 · AA	20	45→46	51→65	54→50	37	230/277/399	169	314	18	12	32%	5%	88	+0.4	221/270/375	154	317	17	10	34%	6%	80	-0.2	226/289/423	196	264	28	9	26%	6%	97	+1.0
★Xander Bogaerts 2012 · A	19	43→53	48→65	41→55	41	222/274/364	142	285	17	4	28%	6%	78	-0.3	244/298/390	146	312	16	5	26%	6%	93	+0.8	284/359/486	202	320	21	8	18%	10%	133	+3.9
●Wil Myers 2010 · A	19	49→52	48→60	53→55	41	242/292/391	149	318	15	7	28%	6%	91	+0.7	240/308/385	145	311	15	8	26%	8%	96	+1.0	249/328/454	205	308	25	22	26%	10%	116	+2.4
●Mark Vientos 2019 · A	19	42→50	46→60	43→30	45	215/275/340	125	273	14	3	26%	7%	74	-0.6	209/254/346	137	287	16	2	32%	5%	68	-1.0	243/303/441	198	304	26	1	28%	7%	106	+1.5
●Tyler Soderstrom 2022 · A	20	50→53	50→60	47→40	41	244/303/406	162	341	17	6	32%	7%	99	+1.3	218/270/398	180	289	24	2	32%	6%	86	+0.3	251/333/462	211	292	26	4	23%	10%	119	+2.2
●Travis Snider 2007 · A	19	47→53	50→55	47→50	43	237/292/389	152	313	18	7	30%	7%	91	+0.7	242/299/400	158	345	17	3	33%	7%	96	+1.0	245/307/425	181	322	22	5	30%	8%	102	+1.3

Career Stats + Projections

Career Comps

Career Path Comps