Gabriel Gomes — OGILVIE

Gabriel GomesC ACL Reds

Age 22 R/R 5'9" / 170 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 51 proj PA

wRC+†68

AVG/OBP/SLG.209 / .286 / .295

PA4

HR0

K%28

BB%8

ISO87

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$16M 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	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$0.8M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.8M

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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	19	ROK	DSL Reds	—	49	32	12	2	0	1	15	7	2	3	0	375	592	531	1.123	156	458	14	31	505	228	+7	+1	—	—	+1	0.9
2024	20	ROK	DSL Reds	—	105	82	23	4	0	2	17	15	5	3	0	280	433	402	835	122	318	14	16	383	145	+6	+1	—	—	+2	0.9
2025	21	ROK	ACL Reds	—	41	37	8	0	1	0	1	12	2	0	0	216	275	270	545	54	308	29	2	247	53	-2	+0	—	—	+1	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	19	ROK MLE	DSL Reds	—	49	38	11	2	0	1	9	10	2	3	0	289	449	421	870	132	362	20	18	378	142	+2	+1	—	—	+1	0.4
2024	20	ROK MLE	DSL Reds	—	105	88	17	3	0	1	11	23	5	3	0	193	317	261	579	68	240	22	10	271	70	-4	+1	—	—	+2	-0.1
2025	21	ROK MLE	ACL Reds	—	41	37	6	0	1	0	1	17	2	0	0	162	225	216	441	54	235	41	2	165	-2	-5	+0	—	—	+1	-0.4
2023	19	ROK MLE	DSL Reds	—	49	38	11	2	0	1	9	10	2	3	0	289	449	421	870	132	370	20	18	378	142	—	—	—	—	—	—
2023	19	ROK RAW	DSL Reds	—	49	32	12	2	0	1	15	7	2	3	0	375	592	531	1.123	156	458	14	31	505	142	—	—	—	—	—	—
2024	20	ROK MLE	DSL Reds	—	105	88	17	3	0	1	11	23	5	3	0	193	317	261	579	68	246	22	10	271	70	—	—	—	—	—	—
2024	20	ROK RAW	DSL Reds	—	105	82	23	4	0	2	17	15	5	3	0	280	433	402	835	122	318	14	16	383	70	—	—	—	—	—	—
2025	21	ROK MLE	ACL Reds	—	41	37	6	0	1	0	1	17	2	0	0	162	225	216	441	54	286	41	2	165	-2	—	—	—	—	—	—
2025	21	ROK RAW	ACL Reds	—	41	37	8	0	1	0	1	12	2	0	0	216	275	270	545	54	308	29	2	247	-2	—	—	—	—	—	—
2023	19	ROK MLE	DSL Reds	—	49	38	11	2	0	1	9	10	2	3	0	289	449	421	870	132	362	20	18	378	142	—	—	—	—	—	—
2024	20	ROK MLE	DSL Reds	—	105	88	17	3	0	1	11	23	5	3	0	193	317	261	579	68	240	22	10	271	70	—	—	—	—	—	—
2025	21	ROK MLE	ACL Reds	—	41	38	6	0	1	0	1	17	2	0	0	158	225	211	436	53	235	41	2	165	-2	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	DSL Reds	—	49	38	11	2	0	1	9	10	2	3	0	289	449	421	870	132	362	20	18	378	142	—	—	—	—	—	—
2024	20	ROK MLE	DSL Reds	—	105	88	17	3	0	1	11	23	5	3	0	193	317	261	579	68	240	22	10	271	70	—	—	—	—	—	—
2025	21	ROK MLE	ACL Reds	—	41	38	6	0	1	0	1	17	2	0	0	158	225	211	436	53	235	41	2	165	-2	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	CIN	0%	4	4	1	0	0	0	0	1	0	0	0	250	250	250	500		289	25	0	269	68	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	CIN	34%	127	114	25	4	1	2	10	35	2	2	0	219	294	325	618	105	290	28	8	278	74	-4	+0	+0	+2	+3	0.2
2028	24	MLB MLE	CIN	46%	251	224	49	8	2	4	21	67	4	3	1	219	297	326	623	107	291	27	8	284	78	-6	+0	+0	+4	+5	0.4
2029	25	MLB MLE	CIN	52%	333	297	66	11	2	6	28	88	5	5	1	222	300	333	633	111	292	26	8	288	81	-7	+1	+0	+6	+7	0.6
2030	26	MLB MLE	CIN	54%	387	346	77	13	2	8	32	102	6	5	1	223	299	341	641	118	291	26	8	290	83	-8	+1	+0	+7	+8	0.8
2031	27	MLB MLE	CIN	54%	414	369	82	14	2	8	35	109	7	6	1	222	302	336	638	114	291	26	8	290	83	-9	+1	+0	+7	+9	0.9
2032	28	MLB MLE	CIN	54%	428	382	84	14	2	8	36	114	7	6	1	220	299	330	629	110	291	27	8	289	82	-9	+1	-1	+8	+9	0.8
2033	29	MLB MLE	CIN	53%	429	382	84	14	2	8	37	115	7	5	1	220	300	330	630	110	290	27	9	287	81	-10	+1	-1	+8	+9	0.6
2034	30	MLB MLE	CIN	52%	427	380	83	14	2	8	37	115	7	5	1	218	300	329	628	111	288	27	9	285	79	-11	+1	-2	+8	+9	0.5
2035	31	MLB MLE	CIN	52%	404	360	78	13	2	7	35	110	6	4	1	217	297	322	619	106	286	27	9	280	76	-12	+0	-3	+7	+9	0.2
2036	32	MLB MLE	CIN	52%	377	336	70	11	2	6	32	105	6	3	1	208	289	307	595	98	283	28	8	275	72	-12	+0	-4	+7	+8	-0.1
2027	23	MLB CTX	CIN	34%	44	39	8	1	0	1	4	12	1	1	0	205	295	308	603	103	293	27	9	270	74	-1	+0	+0	+1	+1	0.1
2028	24	MLB CTX	CIN	46%	116	103	23	4	1	2	10	31	2	2	0	223	304	340	644	117	294	27	9	277	78	-3	+0	+0	+2	+3	0.2
2029	25	MLB CTX	CIN	52%	172	153	34	6	1	3	14	46	3	2	1	222	300	333	633	111	294	27	8	281	81	-4	+0	+0	+3	+4	0.3
2030	26	MLB CTX	CIN	54%	210	188	42	7	1	4	17	55	3	3	1	223	298	335	633	112	294	26	8	283	83	-4	+0	+0	+4	+5	0.4
2031	27	MLB CTX	CIN	54%	225	200	46	8	1	5	19	59	4	3	1	230	309	355	664	125	294	26	8	283	83	-5	+0	+0	+4	+5	0.5
2032	28	MLB CTX	CIN	54%	232	206	47	8	1	5	20	62	4	3	1	228	309	350	658	121	294	27	9	282	82	-5	+0	-0	+4	+5	0.4
2033	29	MLB CTX	CIN	53%	228	202	46	8	1	5	20	61	4	3	1	228	310	351	661	124	293	27	9	280	81	-5	+0	-1	+4	+5	0.3
2034	30	MLB CTX	CIN	52%	224	200	43	7	1	4	19	61	3	2	1	215	293	320	613	105	291	27	8	278	79	-6	+0	-1	+4	+5	0.2
2035	31	MLB CTX	CIN	52%	210	187	41	7	1	4	18	57	3	2	1	219	298	332	630	112	289	27	9	273	76	-6	+0	-1	+4	+5	0.1
2036	32	MLB CTX	CIN	52%	195	173	37	6	1	3	17	54	3	2	0	214	295	312	607	98	286	28	9	268	72	-6	+0	-2	+3	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1856	1651	367	62	9	36	158	498	30	23	7	222	302	336	638	114	294	27	9	278	79	-46	+2	-5	+33	+40	2.5
/ 162G	—	A+C		—	650	578	129	22	3	13	55	174	11	8	2	223	303	339	642	116	294	27	8	278	79	-16	+1	-2	+12	+14	0.9
Career	—	MLE		—	3776	3357	733	121	20	67	324	1011	66	50	9	218	300	326	626	108	290	27	9	285	79	-89	+5	-10	+64	+78	4.9
/ 162G	—	MLE		—	650	578	126	21	3	12	56	174	11	9	2	218	299	327	626	109	289	27	9	285	79	-16	+1	-2	+12	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Cliff 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
#2Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#3Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#4Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#5Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.9	1,906	35	23	220	296	331	+34	+24	4.0	3.7
/162	664	12	8	+11.9	+8.4	1.4	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	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
Gabriel Gomes (OGILVIE)	22	—	—	—	—	209/286/295	86	289	1	1	28%	8%	68	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Carlos Narváez 2021 · A	22	47→45	38→45	48→45	46	219/291/300	81	314	5	6	30%	9%	70	-0.8	192/280/305	113	303	13	5	37%	10%	68	-1.0	212/295/344	132	286	15	6	29%	9%	81	-0.0
✕Dustin Garneau 2010 · A	22	44→39	39→50	51→45	47	210/289/298	89	279	6	6	25%	8%	70	-0.9	204/272/328	124	256	11	5	24%	8%	70	-0.9	171/262/344	173	215	21	1	31%	8%	70	-0.3
✕Jeferson Morales 2021 · A	22	44→48	41→45	48→50	51	208/295/315	107	257	6	8	21%	9%	76	-0.4	199/281/329	130	264	13	9	28%	8%	74	-0.5	221/295/347	125	275	11	8	22%	7%	80	-0.1
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	42	206/280/300	94	283	7	6	28%	6%	67	-1.1	205/276/339	134	277	16	4	31%	6%	74	-0.5	180/260/332	152	234	22	0	33%	7%	72	-0.3
✕Bryan Lavastida 2021 · A	22	47→43	38→45	46→55	46	221/291/303	81	299	5	8	26%	8%	70	-0.8	220/287/334	114	288	11	13	26%	7%	76	-0.4	217/289/327	110	277	11	27	24%	8%	74	-0.4
✕Jose Sibrian 2021 · A	22	43	38→50	49→30	39	204/261/283	79	291	5	6	30%	6%	55	-2.0	204/258/283	79	271	6	3	26%	5%	54	-2.0	202/260/295	93	255	9	0	24%	5%	55	-0.7
✕Leo Jiménez 2023 · A	22	46→49	40→45	48→45	49	216/322/312	96	283	8	9	24%	9%	86	+0.3	226/314/335	109	285	10	7	23%	7%	88	+0.4	228/319/335	107	286	10	5	22%	7%	87	+0.2
✕Corey Joyce 2021 · A	22	44	40	50	39	211/267/307	95	311	8	8	33%	6%	63	-1.4	201/290/309	108	293	11	12	33%	9%	74	-0.6	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Riley Adams 2019 · A	23	44→42	39→50	49→40	44	205/284/297	92	310	5	5	33%	8%	68	-1.0	211/300/341	130	322	13	5	35%	8%	84	+0.2	209/297/371	162	301	16	0	33%	8%	88	+0.2
✕Blake Hunt 2021 · A	22	42	40→45	49→40	43	204/260/298	94	268	7	6	26%	6%	58	-1.7	192/251/306	114	277	11	4	33%	6%	57	-1.8	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Javier Valdes 2021 · A	22	40	37→50	50→30	45	190/266/263	73	266	4	7	28%	8%	53	-2.1	211/295/322	111	281	11	5	27%	8%	78	-0.3	208/306/343	135	260	16	3	25%	9%	85	+0.1
✕Juan Aponte 2010 · A	22	43	39→45	47→40	42	205/270/296	91	272	6	5	26%	6%	61	-1.5	208/257/272	64	306	3	5	31%	5%	50	-2.3	199/234/217	18	292	0	0	30%	3%	29	-0.8
✕Chris Denove 2006 · A	23	44	40	46→40	46	211/286/303	92	280	7	5	26%	8%	70	-0.9	200/259/270	70	271	4	4	26%	6%	51	-2.2	245/303/334	88	297	6	3	18%	6%	79	-0.1
✕Wynston Sawyer 2014 · A	22	41	42→45	47→45	46	203/265/304	101	254	9	3	24%	7%	61	-1.5	215/280/313	98	272	8	5	23%	7%	69	-0.9	228/314/342	113	289	10	2	23%	9%	86	+0.1
✕Tucker Mitchell 2022 · A	21	42	40→45	51→45	39	201/262/293	92	296	7	7	33%	6%	57	-1.8	195/269/306	111	299	13	8	37%	7%	65	-1.2	180/257/292	111	259	15	7	35%	7%	55	-0.8
✕Jakson Reetz 2017 · A	21	44→33	39→55	47→45	44	205/289/298	94	298	5	6	31%	8%	70	-0.8	198/275/298	100	292	9	5	33%	7%	65	-1.2	193/274/380	187	243	23	4	31%	7%	81	-0.0
✕Raul Beracierta 2021 · A	22	46	40→50	50	45	218/288/314	95	304	7	8	29%	8%	72	-0.7	218/267/347	129	329	14	6	36%	5%	72	-0.7	216/262/355	138	319	17	3	36%	5%	69	-0.4

Career Stats + Projections

Career Comps

Career Path Comps