Antonio Gomez — OGILVIE

Antonio GomezC Somerset Patriots

Age 24 R/R 6'2" / 239 lbs AA HR +8%BB +8% Svc 0.0 · Ctrl thru 2034

wRC+†31

AVG/OBP/SLG.174 / .227 / .269

PA149

HR2

K%40

BB%6

MLB%2%

Scouting · now → future

HIT

20→20

PWR

37→37

SPD

46→46

EYE

42→42

trajectory · 10 yrs

-0.3peak

2029

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	Arb-1	$0.8M	—	—	—
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.2M	—	—	—
2033	Ext / FA-deal	$0.4M	—	—	—
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$-4M		$-17M	-$13M

Career Projections (MLE)

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	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
2019	17	ROK	GCL Yankees East	57	53	11	3	0	1	3	13	1	0	0	.208	.263	.321	.584	.113	.256	23	5	.248	48	-3	+0	+0	+1	+2	-0.1
2021	19	ROK	2 teams	184	166	32	7	1	3	16	68	2	5	0	.193	.272	.301	.573	.108	.305	37	9	.252	51	-10	+1	+0	+3	+5	-0.1
2022	20	A	Tampa Tarpons	370	335	65	9	2	6	25	145	6	1	3	.194	.262	.287	.549	.093	.314	39	7	.242	43	-24	-1	+0	+7	+10	-0.8
2023	21	A+	Hudson Valley Renegades	354	334	60	13	1	2	12	146	5	1	1	.180	.219	.243	.462	.063	.307	41	3	.205	15	-34	-0	+0	+6	+10	-1.8
2024	22	A+	3 teams	258	239	40	13	1	5	15	96	2	5	0	.167	.223	.293	.516	.126	.250	37	6	.230	34	-19	+1	+0	+5	+7	-0.6
2025	23	AA	2 teams	141	130	18	2	0	2	9	63	0	2	0	.138	.194	.200	.394	.062	.242	45	6	.173	-9	-17	+0	+0	+3	+4	-1.1
▸ 2026 Season
2026	24	MLB	NYY	149	139	23	5	0	2	8	59	1	2	0	.165	.216	.245	.461	.079	.282	40	5	.226	31	-12	+0	+0	+3	+4	-0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 11%	NYY	255	235	43	9	1	5	16	97	2	3	1	.183	.241	.294	.535	.111	.284	38	6	.240	42	-17	+0	+0	+5	+7	-0.5
2028	26	MLB 26%	NYY	328	301	57	12	1	7	21	121	3	4	1	.189	.249	.306	.555	.116	.286	37	6	.249	48	-19	+0	+0	+6	+9	-0.4
2029	27	MLB 44%	NYY	361	331	62	13	1	7	24	131	3	5	1	.187	.249	.296	.545	.109	.286	36	7	.252	51	-20	+1	+0	+6	+10	-0.3
2030	28	MLB 53%	NYY	381	349	67	14	1	8	26	137	3	5	1	.192	.254	.307	.561	.115	.286	36	7	.253	52	-21	+1	-1	+7	+11	-0.3
2031	29	MLB 64%	NYY	385	352	67	14	1	8	27	140	3	4	0	.190	.254	.304	.558	.114	.285	36	7	.251	50	-22	+1	-1	+7	+11	-0.5
2032	30	MLB 73%	NYY	387	354	66	14	1	7	27	142	3	4	0	.186	.250	.291	.541	.105	.284	37	7	.248	48	-23	+1	-2	+7	+11	-0.6
2033	31	MLB 81%	NYY	366	335	62	13	1	7	25	136	3	3	0	.185	.248	.293	.540	.107	.282	37	7	.244	45	-23	+1	-3	+7	+10	-0.8
2034	32	MLB	NYY	338	309	56	12	1	6	23	127	3	2	0	.181	.245	.285	.530	.104	.280	38	7	.239	41	-22	+0	-4	+6	+10	-1.0
2035	33	MLB	NYY	302	276	49	10	1	5	21	116	2	1	0	.178	.241	.275	.516	.098	.278	38	7	.234	37	-21	+0	-4	+5	+9	-1.2
2036	34	MLB	NYY	254	233	40	8	1	4	17	100	2	1	0	.172	.234	.266	.500	.094	.276	39	7	.228	33	-19	+0	-5	+5	+7	-1.3
▸ Career Totals (MLE all levels + projections)
Career	—			4870	4471	818	171	15	85	315	1837	44	48	8	.183	.244	.285	.529	.102	.284	38	6	.239	41	-326	+6	-20	+87	+138	-11.6
/ 162G	—			650	597	109	23	2	11	42	245	6	6	1	.183	.243	.283	.526	.101	.284	38	6	.239	41	-43	+1	-3	+12	+18	-1.6

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2019	17	ROK	GCL Yankees East	57	52	15	5	0	1	4	9	1	0	0	.288	.351	.442	.793	.154	.333	16	7	.354	129	+2	+0	—	—	+2	0.4
2021	19	A	Tampa Tarpons	71	61	12	2	0	2	10	18	0	1	0	.197	.310	.328	.638	.131	.244	25	14	.295	84	-1	+0	—	—	+2	0.1
2021	19	ROK	FCL Yankees	113	95	29	8	1	2	16	31	2	4	0	.305	.416	.474	.890	.168	.435	27	14	.398	163	+8	+1	—	—	+3	1.2
2022	20	A	Tampa Tarpons	370	325	82	10	2	8	35	100	6	1	3	.252	.336	.369	.705	.117	.335	27	9	.318	102	+1	-1	—	—	+10	1.0
2023	21	A+	Hudson Valley Renegades	354	322	76	18	1	3	21	112	5	1	1	.236	.291	.326	.617	.090	.348	32	6	.277	70	-12	-0	—	—	+10	-0.2
2024	22	A+	Hudson Valley Renegades	184	160	38	14	1	5	17	51	2	2	0	.237	.313	.431	.744	.194	.311	28	9	.324	106	+1	+0	—	—	+5	0.7
2024	22	ROK	FCL Yankees	25	20	5	2	0	0	5	4	0	0	0	.250	.400	.350	.750	.100	.312	16	20	.351	127	+1	+0	—	—	+1	0.1
2024	22	INTL	Salt River Rafters	49	41	10	1	0	0	8	11	0	3	0	.244	.367	.268	.636	.024	.333	22	16	.306	93	-0	+1	—	—	+1	0.2
2025	23	AA	Somerset Patriots	121	107	15	3	0	0	12	41	0	2	0	.140	.227	.168	.395	.028	.224	34	10	.191	4	-13	+0	—	—	+3	-0.9
2025	23	A+	Hudson Valley Renegades	20	19	6	0	0	2	1	7	0	0	0	.316	.350	.632	.982	.316	.400	35	5	.424	183	+2	+0	—	—	+1	0.2

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
Antonio Gomez (OGILVIE)	24	20	37	46	42	.174/.227/.269	.095	.282	2	2	40%	6%	31	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chris Okey 2019 · AA	24	34	40→45	48→40	36	.174/.227/.262	.088	.261	9	5	36%	5%	30	-3.1	.191/.246/.304	.113	.285	13	4	36%	6%	49	-1.8	.209/.262/.317	.107	.291	10	2	30%	5%	55	-0.4
✕Joe Donovan 2023 · A	24	35	44→45	51→40	35	.177/.247/.290	.113	.289	12	7	41%	6%	46	-2.0	.195/.252/.305	.110	.307	10	5	38%	5%	52	-1.6	.196/.250/.311	.115	.294	10	0	35%	4%	49	-0.7
✕Mat Nelson 2023 · A	24	40→31	42→45	47→40	35	.187/.255/.287	.100	.316	10	5	41%	6%	49	-1.8	.185/.267/.304	.119	.267	15	5	35%	7%	59	-1.1	.173/.265/.293	.120	.233	17	3	32%	8%	53	-0.9
✕Jack Conley 2022 · AAA	25	35	41→45	50→45	39	.177/.239/.273	.095	.270	8	7	36%	7%	37	-2.6	.200/.266/.312	.112	.290	11	7	33%	7%	59	-1.1	.191/.265/.302	.110	.270	10	5	31%	8%	52	-0.8
✕Cadyn Grenier 2021 · A	24	40→37	41→40	48→50	38	.191/.256/.294	.103	.311	8	7	39%	7%	50	-1.7	.191/.271/.289	.098	.300	8	12	36%	9%	56	-1.3	.176/.264/.267	.091	.272	8	13	35%	9%	45	-1.5
✕Rylan Sandoval 2012 · A	24	39	40	45	37	.190/.256/.282	.091	.284	8	5	34%	5%	47	-1.9	.206/.258/.300	.094	.302	8	6	33%	5%	52	-1.6	.213/.261/.298	.086	.310	7	6	32%	5%	48	-0.7
✕Juan Zabala 2022 · AA	23	40	43→40	46→50	37	.196/.253/.305	.109	.301	11	7	37%	6%	52	-1.6	.215/.278/.307	.092	.296	9	16	28%	7%	63	-0.9	.203/.265/.285	.083	.283	8	16	30%	7%	48	-0.8
✕Max Burt 2021 · AA	24	39	39→45	44→55	35	.194/.241/.275	.081	.273	8	6	31%	4%	38	-2.6	.201/.251/.316	.115	.288	13	15	33%	5%	53	-1.5	.192/.248/.313	.122	.271	15	21	34%	6%	49	-1.0
✕Jordan Betts 2017 · AA	25	35→29	39→45	46→40	35	.177/.223/.265	.088	.275	7	5	37%	5%	27	-3.3	.194/.242/.308	.114	.294	12	4	36%	6%	47	-1.9	.190/.238/.309	.119	.280	15	3	37%	5%	45	-1.3
✕Cole Leonida 2013 · A	24	37	41→45	48→40	36	.182/.242/.276	.094	.293	8	5	39%	6%	40	-2.4	.192/.261/.319	.127	.291	14	5	37%	7%	59	-1.1	.177/.257/.316	.140	.253	17	3	35%	8%	54	-0.5
✕Cooper Johnson 2023 · AA	25	37	38→45	45→40	43	.174/.261/.256	.082	.294	6	5	39%	9%	43	-2.2	.182/.265/.300	.118	.291	12	6	39%	9%	56	-1.3	.169/.256/.297	.129	.249	15	4	37%	10%	50	-0.8
✕John Sansone 2018 · A	24	36→29	43→40	45→40	38	.184/.250/.291	.107	.277	11	5	36%	6%	47	-1.9	.184/.240/.278	.094	.288	8	6	37%	5%	39	-2.5	.162/.206/.237	.075	.260	5	5	38%	3%	10	-2.4
✕Marty Bechina 2022 · AAA	25	35→34	45	47→45	31	.179/.230/.302	.123	.296	13	8	42%	5%	41	-2.3	.186/.258/.305	.119	.310	12	9	41%	7%	55	-1.4	.167/.257/.278	.111	.280	12	8	41%	8%	44	-1.4
✕Jason Lopez 2022 · AA	24	38	42→50	52→45	40	.189/.250/.291	.102	.286	10	11	36%	7%	46	-2.0	.204/.266/.313	.109	.307	11	9	35%	7%	59	-1.1	.164/.224/.258	.094	.235	10	0	33%	7%	25	-0.6
✕Anthony Mulrine 2023 · AAA	25	37	38→40	45→40	39	.179/.256/.255	.076	.265	6	5	33%	6%	41	-2.3	.189/.268/.274	.085	.271	7	6	31%	7%	51	-1.7	.144/.247/.211	.068	.201	5	0	28%	8%	25	-0.8
✕Tate Blackman 2019 · A	24	37→33	45	43→40	40	.191/.258/.310	.119	.281	14	5	36%	7%	56	-1.3	.178/.247/.269	.091	.312	9	5	43%	7%	40	-2.4	.128/.208/.178	.050	.259	5	1	48%	8%	1	-2.8
✕Allan de San Miguel 2012 · AAA	24	38	40→45	46→40	45	.180/.273/.269	.089	.299	8	4	39%	10%	52	-1.6	.200/.275/.315	.115	.296	11	7	34%	8%	64	-0.8	.183/.259/.291	.108	.252	11	5	30%	7%	48	-0.6
✕Ryan Eigsti 2010 · A	24	37	39→45	43→40	37	.182/.250/.266	.083	.280	7	4	36%	6%	41	-2.3	.194/.259/.284	.090	.287	8	6	33%	6%	49	-1.8	.189/.262/.339	.149	.293	18	4	39%	7%	65	-0.1
✕Marcus Chiu 2021 · A	24	37→27	46→45	47→45	37	.180/.272/.305	.125	.310	14	8	43%	8%	62	-0.9	.192/.267/.316	.124	.305	14	5	39%	6%	62	-0.9	.179/.253/.302	.123	.272	15	2	38%	5%	48	-0.9
✕Chris Baker 2019 · A	24	37→29	42→45	50→45	34	.186/.231/.286	.100	.285	10	6	37%	5%	37	-2.6	.192/.244/.279	.087	.313	8	8	39%	6%	40	-2.4	.132/.195/.174	.041	.230	6	4	43%	7%	-7	-1.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)