Elerick Gomez — OGILVIE

Elerick GomezSS DSL Cubs Red

Age 18 R/R 5'9" / 155 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 87 proj PA

wRC+66

AVG/OBP/SLG.208 / .272 / .309

PA7

HR0

K%29

BB%7

ISO102

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$28M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2035	Arb-1	$4M	+0.8	$2M	+$0.1M
2036	Arb-2	$6M	+0.7	$1M	+$0.0M (cut)
2037	Arb-3	$8M	+0.6	$1M	+$0.0M (cut)
Totals		$7M		$9M	+$4M

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)
2025	17	ROK	DSL Cubs Red	—	100	87	22	5	2	2	11	23	2	8	0	253	350	425	775	172	323	23	11	347	121	+3	+2	—	—	+2	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Cubs Red	—	100	91	16	3	1	2	7	34	2	8	0	176	250	297	547	121	257	34	7	235	45	-7	+2	—	—	+2	-0.3
2025	17	ROK MLE	DSL Cubs Red	—	100	91	16	3	1	2	7	34	2	8	0	176	250	297	547	121	255	34	7	235	45	—	—	—	—	—	—
2025	17	ROK RAW	DSL Cubs Red	—	100	87	22	5	2	2	11	23	2	8	0	253	350	425	775	172	323	23	11	347	45	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cubs Red	—	100	91	16	3	1	2	7	34	2	8	0	176	250	297	547	121	257	34	7	235	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Cubs Red	—	100	91	16	3	1	2	7	34	2	8	0	176	250	297	547	121	257	34	7	235	45	—	—	—	—	—	—
▸ 2026 season
2026	18	MLB MLE	—	0%	7	7	1	0	0	0	0	2	0	0	0	143	143	143	286		289	29	0	265	66	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	—	34%	179	162	35	6	2	3	13	50	2	6	1	216	282	333	616	117	292	28	7	276	73	-6	+1	+0	+2	+4	0.1
2028	20	MLB MLE	—	48%	320	289	65	12	3	6	24	88	4	11	2	225	293	349	643	125	293	28	8	283	78	-9	+1	+0	+3	+7	0.3
2029	21	MLB MLE	—	54%	429	388	87	16	4	8	32	116	6	16	2	224	293	348	641	124	294	27	7	288	81	-10	+2	+0	+5	+9	0.7
2030	22	MLB MLE	—	57%	506	456	103	19	5	10	38	136	7	18	3	226	295	355	651	129	295	27	8	291	83	-10	+2	+0	+5	+11	0.9
2031	23	MLB MLE	—	58%	558	502	114	21	5	11	43	149	8	20	3	227	298	355	653	127	296	27	8	293	85	-10	+3	+0	+6	+12	1.1
2032	24	MLB MLE	—	57%	592	533	121	22	5	12	45	158	9	22	3	227	298	355	653	128	297	27	8	295	86	-10	+3	+0	+6	+13	1.3
2033	25	MLB MLE	—	57%	612	551	126	23	6	13	47	163	9	22	3	229	300	363	663	134	297	27	8	296	86	-10	+3	+0	+7	+13	1.3
2034	26	MLB MLE	—	57%	622	560	128	23	6	13	48	166	9	23	3	229	300	361	661	132	297	27	8	296	87	-10	+3	+0	+7	+13	1.4
2035	27	MLB MLE	—	55%	623	560	128	23	6	13	49	166	9	23	3	229	301	361	662	132	296	27	8	297	87	-10	+3	+0	+7	+13	1.4
2036	28	MLB MLE	—	55%	619	556	126	23	5	13	49	166	9	22	3	227	300	356	656	129	296	27	8	296	86	-10	+3	-1	+7	+13	1.3
2037	29	MLB MLE	—	53%	610	548	123	22	5	13	48	165	9	22	3	224	298	354	652	130	296	27	8	294	85	-11	+3	-1	+7	+13	1.1
2038	30	MLB MLE	—	53%	600	538	120	22	5	12	48	164	9	21	3	223	297	349	647	126	295	27	8	291	83	-12	+3	-2	+6	+13	0.9
2039	31	MLB MLE	—	52%	586	526	116	21	5	11	47	162	8	20	3	221	294	342	637	122	292	28	8	288	81	-13	+3	-3	+6	+13	0.6
2040	32	MLB MLE	—	56%	568	510	112	20	5	11	45	159	8	19	3	220	293	343	636	124	290	28	8	282	77	-15	+3	-4	+6	+12	0.2
2041	33	MLB MLE	—	54%	538	484	102	18	4	9	42	153	7	18	3	211	283	320	604	110	286	28	8	276	73	-17	+2	-4	+6	+12	-0.2
2027	19	MLB CTX	—	34%	62	56	12	2	1	1	5	17	1	2	0	214	290	339	630	125	292	27	8	276	73	-2	+0	+0	+1	+1	0.0
2028	20	MLB CTX	—	48%	155	140	31	6	1	3	12	43	2	6	1	221	292	343	635	121	293	28	8	283	78	-4	+1	+0	+2	+3	0.2
2029	21	MLB CTX	—	54%	233	210	47	9	2	4	18	63	3	8	1	224	294	343	637	119	294	27	8	288	81	-5	+1	+0	+2	+5	0.4
2030	22	MLB CTX	—	57%	286	258	59	11	3	6	22	77	4	10	2	229	299	364	664	136	295	27	8	291	83	-6	+1	+0	+3	+6	0.5
2031	23	MLB CTX	—	58%	321	289	66	12	3	7	24	86	5	12	2	228	299	363	662	135	296	27	7	293	85	-6	+2	+0	+3	+7	0.6
2032	24	MLB CTX	—	57%	337	303	69	13	3	7	26	90	5	12	2	228	299	360	659	132	297	27	8	295	86	-6	+2	+0	+4	+7	0.7
2033	25	MLB CTX	—	57%	347	312	71	13	3	7	27	92	5	13	2	228	299	356	655	128	297	27	8	296	86	-6	+2	+0	+4	+8	0.8
2034	26	MLB CTX	—	57%	352	317	72	13	3	8	27	94	5	13	2	227	298	363	661	136	297	27	8	296	87	-6	+2	+0	+4	+8	0.8
2035	27	MLB CTX	—	55%	346	311	70	13	3	7	27	92	5	13	2	225	297	354	651	129	296	27	8	297	87	-5	+2	+0	+4	+7	0.8
2036	28	MLB CTX	—	55%	340	305	70	13	3	7	27	91	5	12	2	230	303	361	663	131	296	27	8	296	86	-6	+2	-0	+4	+7	0.7
2037	29	MLB CTX	—	53%	326	292	66	12	3	7	26	88	5	12	2	226	300	360	660	134	296	27	8	294	85	-6	+2	-1	+3	+7	0.6
2038	30	MLB CTX	—	53%	316	283	63	11	3	6	25	86	5	11	2	223	297	346	643	124	295	27	8	291	83	-6	+1	-1	+3	+7	0.4
2039	31	MLB CTX	—	52%	306	275	61	11	3	6	24	84	4	11	2	222	294	349	643	127	292	27	8	288	81	-7	+1	-1	+3	+7	0.3
2040	32	MLB CTX	—	56%	319	287	63	11	3	6	25	89	4	11	2	220	291	341	633	122	290	28	8	282	77	-9	+1	-2	+3	+7	0.1
2041	33	MLB CTX	—	54%	292	263	56	10	2	5	23	83	4	10	1	213	286	323	609	110	286	28	8	276	73	-9	+2	-2	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4338	3901	876	160	39	87	338	1175	62	156	25	225	297	352	649	128	296	27	8	291	82	-88	+21	-8	+46	+94	6.7
/ 162G	—	A+C		—	650	585	131	24	6	13	51	176	9	23	4	224	297	352	649	128	295	27	8	291	82	-13	+3	-1	+7	+14	1.0
Career	—	MLE		—	8069	7261	1623	294	72	160	625	2197	115	291	41	224	295	350	645	126	296	27	8	290	82	-163	+40	-15	+85	+173	12.3
/ 162G	—	MLE		—	650	585	131	24	6	13	50	177	9	23	3	224	295	352	647	128	296	27	8	290	82	-13	+3	-1	+7	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Alcides 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
#2Freddy Galvislast yr '21 career totals — 10 seasons, 4,238 PA	6.4	4,238	109	57	246	292	387	+42	+68	18.0	17.6
/162	664	17	9	+6.6	+10.6	2.8	pk7: 17
#3Bobby 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
#4Danny 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
#5Leonys 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
#6Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.7	4,425	88	157	225	293	352	+47	+27	9.8	8.2
/162	664	13	24	+7.1	+4.1	1.5	pk7: 6

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
Elerick Gomez (OGILVIE)	18	—	—	—	—	208/272/309	101	289	1	3	29%	7%	66	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dalton Pompey 2012 · A	19	39→49	41→45	56→55	45	193/266/287	94	270	9	17	30%	8%	58	-1.7	218/283/318	100	304	7	21	28%	8%	71	-0.8	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Yunior Garcia 2019 · A	18	37→47	43→50	52→30	40	187/247/297	110	260	10	10	31%	6%	53	-2.1	196/245/302	106	303	10	7	37%	5%	53	-2.1	225/276/346	121	319	13	2	32%	5%	71	-0.3
✕Ceddanne Rafaela 2019 · A	18	42→52	39→55	51→55	40	205/251/286	81	270	6	16	26%	5%	51	-2.2	205/253/316	111	261	11	14	25%	5%	59	-1.6	253/291/409	156	303	17	19	22%	4%	93	+0.8
✕Delino DeShields 2012 · A	19	40→50	40→45	50→65	41	195/252/281	86	270	8	16	30%	6%	51	-2.2	228/294/330	102	309	8	38	27%	7%	78	-0.3	236/312/340	103	313	6	38	24%	9%	83	+0.1
✕Eguy Rosario 2018 · A	18	44→52	36→55	54→55	42	206/263/284	78	291	2	20	28%	6%	55	-1.9	207/254/307	100	291	8	13	30%	5%	57	-1.8	224/286/367	142	294	14	21	28%	7%	82	-0.0
✕Juan Lagares 2007 · A	18	42→52	40→45	53→50	41	203/261/302	99	285	6	11	30%	6%	59	-1.7	203/241/283	80	277	4	10	27%	4%	46	-2.6	268/308/373	106	324	7	13	19%	4%	89	+0.3
✕Gilberto Celestino 2018 · A	19	42→52	39→45	53→55	42	202/258/287	85	283	6	12	30%	7%	54	-2.0	216/266/306	90	282	7	10	24%	6%	61	-1.5	234/311/308	74	302	5	10	22%	9%	76	-0.2
●Moisés Sierra 2007 · A	18	42→52	39→50	52→50	42	203/266/292	89	271	6	13	26%	6%	59	-1.6	205/253/299	94	283	8	9	29%	4%	55	-1.9	249/315/369	120	307	12	15	22%	7%	92	+0.6
✕Alberto Rodriguez 2019 · A	18	40→50	40→45	51→50	43	198/259/283	85	277	8	16	30%	7%	54	-2.0	216/272/315	99	296	8	14	28%	7%	66	-1.1	219/279/346	127	314	10	7	32%	7%	73	-0.6
✕Yordalin Peña 2023 · A	18	41→38	40→55	56→55	37	198/247/291	93	281	6	10	31%	5%	51	-2.2	189/248/281	92	276	6	12	32%	6%	49	-2.4	184/245/315	131	287	12	17	38%	6%	55	-1.1
●Jahmai Jones 2016 · A	18	42→50	38→50	50	42	202/259/282	79	273	5	16	27%	6%	54	-2.0	226/281/327	101	292	8	16	24%	6%	72	-0.7	248/345/422	173	324	16	18	26%	11%	114	+1.3
✕Angel Aponte 2018 · A	18	43	40→45	53→55	42	206/274/301	94	284	6	13	28%	6%	64	-1.3	206/265/304	98	285	8	19	29%	6%	61	-1.5	204/264/295	91	289	8	25	30%	6%	57	-0.7
✕Jorge Alcantara 2010 · A	18	44	38→45	51→50	41	207/269/289	82	311	6	11	33%	7%	59	-1.7	209/275/309	100	307	7	11	32%	7%	66	-1.1	189/260/299	110	270	7	17	30%	8%	58	-0.6
✕Dixon Machado 2010 · A	18	39→49	37→45	53→55	49	188/254/256	69	223	5	19	18%	7%	47	-2.6	198/252/243	45	251	2	17	21%	6%	41	-3.0	222/304/330	107	267	11	4	20%	9%	79	-0.1
✕Che-Hsuan Lin 2008 · A	19	40→50	42→40	56→55	40	199/252/310	111	278	8	14	30%	6%	57	-1.8	223/287/309	86	277	6	19	20%	7%	70	-0.8	233/303/306	73	281	5	22	18%	8%	73	-0.6
✕Adrián Sanchez 2009 · A	18	43→47	38→45	52→50	42	207/255/285	78	258	5	14	22%	5%	53	-2.1	224/255/301	77	272	5	11	19%	3%	55	-1.9	251/288/348	97	306	6	11	20%	4%	76	-0.2
✕Jeffrey Baez 2012 · A	18	43→46	40→50	54→60	40	210/259/299	89	281	7	22	27%	5%	57	-1.8	206/257/299	93	291	7	24	30%	5%	57	-1.8	194/244/294	100	279	8	29	32%	5%	50	-0.7
✕Yeremy Cabrera 2023 · A	18	37→42	38→45	53→60	48	181/263/263	82	240	5	13	26%	8%	52	-2.2	207/289/321	114	272	11	17	26%	9%	75	-0.5	202/287/312	110	269	12	24	27%	8%	70	-0.5
●Leandro Castro 2008 · A	19	43→53	42→50	53→50	44	212/271/311	99	261	10	18	23%	6%	65	-1.2	211/250/308	97	266	8	14	23%	4%	56	-1.9	244/286/386	143	268	16	11	16%	5%	85	+0.2
✕Óscar Mercado 2014 · A	19	38→48	37→50	52→60	40	182/239/254	73	261	3	13	30%	6%	40	-3.1	192/242/258	66	239	4	23	20%	5%	41	-3.0	235/299/388	153	272	15	22	19%	7%	91	+0.5

Career Stats + Projections

Career Comps

Career Path Comps