Santiago Gomez — OGILVIE

Santiago GomezSS Tampa Tarpons

Age 22 R/R 5'9" / 160 lbs A HR +8%BB +8% Svc 0.0 · Ctrl thru 2036 peak 1.5 · 2031

wRC+†57

AVG/OBP/SLG.207 / .289 / .319

PA185

HR3

SB5

K%29

BB%8

MLB%0%

Scouting · now → future

HIT

26↗31

PWR

34↗39

SPD

67↗72

EYE

41↗46

trajectory · 10 yrs

1.5peak

2031

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	+1.5	$14M	+$13M
2032	Ext / FA-deal	$0.9M	+1.4	$13M	+$12M
2033	Ext / FA-deal	$1.0M	+1.2	$12M	+$11M
2034	Ext / FA-deal	$2M	+1.0	$10M	+$8M
2035	Ext / FA-deal	$2M	+0.7	$4M	+$1M
2036	Ext / FA-deal	$2M	+0.5	$3M	+$0.2M
Totals		$10M		$56M	+$46M

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
2022	18	ROK	DSL NYY Yankees	155	132	19	3	1	2	18	58	5	22	5	.144	.271	.227	.498	.083	.236	37	12	.225	30	-12	+2	+0	+2	+4	-0.4
2023	19	ROK	DSL NYY Yankees	184	147	30	7	0	1	18	49	17	20	3	.204	.357	.272	.629	.068	.293	27	10	.277	70	-6	+3	+0	+2	+5	0.4
2024	20	ROK	FCL Yankees	95	84	17	1	0	1	4	33	7	9	7	.202	.295	.250	.545	.048	.320	35	4	.249	49	-6	-1	+0	+1	+3	-0.3
2025	21	ROK	3 teams	228	194	29	2	0	2	13	78	18	30	7	.149	.267	.191	.457	.041	.231	34	6	.214	22	-20	+3	+0	+2	+6	-0.8
▸ 2026 Season (actual · ROS · total)
2026	22	A	Tampa Tarpons	15	15	1	0	0	0	0	9	0	0	0	.067	.067	.067	.133	.000	.167	60	0	.039	-112	-4	+0	+0	+0	+0	-0.3
ROS	22	MLB	NYY	170	151	32	6	1	3	13	49	4	5	1	.212	.292	.325	.616	.113	.284	29	8	.280	72	-5	+1	+0	+2	+5	0.2
TOT	22	MLB	NYY	185	166	33	6	1	3	13	58	4	5	1	.199	.273	.301	.574	.102	.283	31	7	.260	57	-9	+1	+0	+2	+5	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	NYY	251	223	48	9	1	5	20	70	6	7	2	.215	.297	.332	.629	.117	.285	28	8	.290	80	-6	+1	+0	+3	+7	0.5
2028	24	MLB 26%	NYY	345	305	67	12	2	8	29	93	8	10	2	.220	.304	.351	.655	.131	.286	27	8	.297	85	-6	+1	+0	+4	+10	0.9
2029	25	MLB 43%	NYY	399	352	78	14	2	10	35	107	9	12	3	.222	.308	.358	.666	.136	.287	27	9	.301	89	-5	+1	+0	+4	+11	1.2
2030	26	MLB 58%	NYY	434	383	86	16	2	11	38	115	10	13	3	.225	.311	.363	.674	.138	.288	26	9	.303	90	-5	+1	+0	+5	+12	1.4
2031	27	MLB 76%	NYY	449	396	88	16	2	11	40	120	10	14	3	.222	.309	.356	.665	.134	.288	27	9	.303	90	-5	+2	+0	+5	+13	1.5
2032	28	MLB 84%	NYY	454	400	88	16	2	11	41	122	10	14	3	.220	.308	.352	.661	.132	.288	27	9	.302	90	-5	+2	-1	+5	+13	1.4
2033	29	MLB 90%	NYY	450	396	87	16	2	11	41	122	10	13	2	.220	.309	.354	.662	.134	.287	27	9	.300	88	-6	+2	-1	+5	+13	1.2
2034	30	MLB	NYY	443	390	85	16	2	10	40	122	10	13	2	.218	.307	.346	.653	.128	.285	28	9	.297	86	-7	+2	-2	+5	+13	1.0
2035	31	MLB	NYY	431	380	82	15	2	10	39	120	9	11	2	.216	.304	.345	.648	.129	.284	28	9	.293	83	-8	+1	-3	+5	+12	0.7
2036	32	MLB	NYY	415	365	77	14	2	9	38	118	9	11	1	.211	.301	.334	.635	.123	.282	28	9	.289	79	-10	+2	-4	+4	+12	0.5
2037	33	MLB	NYY	386	340	71	13	2	8	35	112	8	10	0	.209	.298	.329	.627	.121	.281	29	9	.283	75	-11	+2	-4	+4	+11	0.2
2038	34	MLB	NYY	342	301	61	11	1	7	31	102	7	9	0	.203	.292	.316	.608	.113	.279	30	9	.277	70	-12	+2	-5	+4	+10	-0.1
2039	35	MLB	NYY	289	255	50	9	1	5	26	90	6	8	0	.196	.286	.298	.584	.102	.276	31	9	.269	64	-12	+2	-6	+3	+8	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			5920	5194	1095	196	25	125	519	1680	163	231	46	.211	.302	.330	.633	.120	.284	28	9	.287	78	-147	+28	-25	+63	+168	8.9
/ 162G	—			650	570	121	22	3	14	57	184	18	25	5	.212	.304	.335	.639	.123	.285	28	9	.287	78	-16	+3	-3	+7	+18	1.0

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
2022	18	ROK	DSL NYY Yankees	155	122	28	5	2	3	28	39	5	22	5	.230	.394	.377	.771	.148	.312	25	18	.357	132	+6	+2	—	—	+4	1.3
2023	19	ROK	DSL NYY Yankees	184	134	38	10	0	2	31	33	17	20	3	.284	.473	.403	.876	.119	.356	18	17	.406	169	+14	+3	—	—	+5	2.3
2024	20	ROK	FCL Yankees	95	81	26	2	0	2	7	22	7	9	7	.321	.421	.420	.841	.099	.421	23	7	.386	154	+6	-1	—	—	+3	0.8
2025	21	A	Tampa Tarpons	58	47	8	1	0	1	7	16	3	9	1	.170	.316	.255	.571	.085	.226	28	12	.274	68	-2	+1	—	—	+2	0.1
2025	21	ROK	FCL Yankees	140	114	29	2	0	2	10	31	13	20	4	.254	.377	.325	.701	.070	.325	22	7	.328	109	+1	+2	—	—	+4	0.8
2025	21	INTL	Venados de Mazatlan	30	24	6	1	1	0	4	3	2	1	2	.250	.400	.375	.775	.125	.286	10	13	.359	133	+1	-1	—	—	+1	0.1

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
Santiago Gomez (OGILVIE)	22	26→31	34→39	67→72	46	.207/.289/.319	.112	.284	3	5	29%	8%	72	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Eric Brown Jr. 2023 · A	22	46→32	44→40	58→65	45	.224/.296/.346	.123	.297	11	25	27%	8%	81	+0.4	.197/.265/.283	.086	.256	8	29	25%	7%	51	-1.7	.170/.237/.237	.067	.221	6	29	25%	7%	26	-1.6
✕Cooper Bowman 2022 · A	22	44→42	45	56→60	41	.216/.289/.348	.132	.304	12	18	31%	7%	79	+0.3	.200/.277/.317	.117	.285	12	34	32%	8%	66	-0.6	.200/.273/.320	.120	.271	12	40	29%	8%	62	-0.6
✕Tim Tawa 2022 · A	23	45→43	47→50	58→50	45	.225/.290/.366	.142	.304	14	17	30%	8%	83	+0.6	.208/.272/.334	.126	.270	15	11	28%	8%	67	-0.5	.204/.271/.351	.147	.261	18	12	28%	8%	69	-0.3
✕Juan Mora 2022 · A	22	46	44→45	55	46	.222/.297/.343	.121	.288	11	15	26%	8%	81	+0.4	.226/.283/.335	.109	.306	10	9	28%	5%	72	-0.2	.220/.277/.325	.105	.292	10	8	27%	5%	65	-0.3
✕Johan Lopez 2022 · A	22	44	44→45	56→55	44	.214/.289/.333	.120	.290	11	17	29%	8%	75	-0.0	.194/.265/.298	.104	.295	10	12	35%	7%	56	-1.3	.168/.239/.253	.086	.253	8	12	35%	7%	31	-1.1
✕Clay Fuller 2009 · A	22	46	42→45	58→55	44	.214/.295/.326	.111	.311	8	20	31%	8%	75	-0.0	.208/.279/.319	.111	.294	11	18	31%	8%	66	-0.6	.200/.266/.307	.107	.277	12	18	31%	7%	55	-1.0
✕Roberto Caro 2016 · A	22	44→39	38→40	61→60	48	.207/.284/.298	.091	.280	3	20	26%	8%	63	-0.9	.210/.279/.286	.076	.314	2	18	31%	8%	57	-1.2	.219/.291/.296	.077	.328	2	26	31%	8%	63	-0.4
✕Mario Lisson 2006 · A	22	46→49	43→55	57→55	50	.222/.307/.345	.122	.296	10	18	26%	10%	85	+0.7	.222/.287/.338	.116	.289	11	21	26%	7%	75	-0.0	.233/.305/.376	.142	.304	18	8	28%	8%	91	+0.8
✕John Rhodes 2023 · AA	22	43→35	41→45	58→50	47	.207/.283/.312	.104	.273	8	15	26%	8%	66	-0.6	.188/.255/.296	.108	.265	11	9	32%	7%	50	-1.7	.168/.235/.263	.095	.240	11	7	33%	7%	31	-2.2
✕Jakob Marsee 2023 · A	22	45→47	43→45	57→60	53	.214/.313/.328	.115	.295	9	20	28%	11%	84	+0.6	.215/.314/.338	.123	.272	13	32	24%	11%	87	+0.8	.209/.308/.338	.130	.260	14	40	24%	11%	81	+0.5
✕Ismael Alcantara 2021 · A	22	42→30	38→45	56→50	41	.197/.266/.279	.082	.311	5	16	36%	8%	50	-1.7	.214/.271/.343	.129	.318	13	13	35%	6%	69	-0.4	.203/.261/.318	.115	.298	12	16	35%	6%	54	-0.8
✕Johan Mieses 2015 · A	20	43→32	41→55	59→50	42	.208/.262/.314	.106	.276	8	21	27%	6%	57	-1.2	.196/.243/.346	.150	.273	17	9	34%	5%	59	-1.1	.194/.269/.375	.181	.237	26	7	31%	7%	74	-0.0
✕Mikey Perez 2023 · A	23	43→35	44→45	58→60	44	.207/.291/.332	.124	.288	11	30	30%	8%	76	+0.0	.197/.284/.315	.118	.291	12	27	34%	8%	69	-0.4	.151/.257/.253	.102	.229	14	36	38%	9%	40	-0.9
✕Ceddanne Rafaela 2022 · A	21	42→50	47→55	58→55	39	.214/.256/.353	.139	.265	14	15	25%	4%	65	-0.7	.239/.275/.401	.162	.303	18	22	27%	4%	85	+0.7	.244/.283/.399	.155	.300	17	24	24%	4%	86	+0.7
✕Cayden Wallace 2023 · A	21	46→43	43→45	56→50	42	.224/.277/.340	.116	.301	9	15	28%	6%	70	-0.3	.218/.275/.336	.118	.288	10	12	27%	6%	69	-0.4	.212/.270/.327	.116	.280	10	13	27%	6%	62	-0.6
✕Masyn Winn 2023 · AA	21	45→53	43→50	61→55	44	.220/.278/.344	.124	.294	9	27	28%	7%	72	-0.2	.237/.291/.371	.134	.285	13	17	21%	7%	85	+0.7	.244/.299/.375	.131	.283	14	12	19%	6%	86	+0.8
✕Evan Van Hoosier 2016 · A	22	48→45	42→50	55→50	41	.231/.276/.352	.121	.301	7	9	25%	5%	72	-0.2	.221/.267/.319	.098	.296	6	10	26%	5%	60	-1.0	.181/.239/.269	.088	.242	9	17	28%	4%	34	-0.5
✕Tyler Goeddel 2015 · A	22	45→49	41→45	56→55	42	.216/.273/.320	.104	.300	7	18	29%	6%	63	-0.8	.226/.284/.340	.114	.295	9	17	25%	7%	73	-0.1	.224/.286/.334	.110	.283	10	18	23%	7%	70	-0.2
✕Jason Taylor 2010 · A	22	44→40	45	52→55	51	.220/.295/.345	.124	.265	12	21	22%	9%	80	+0.4	.208/.261/.317	.109	.266	10	14	25%	6%	58	-1.2	.143/.173/.230	.086	.184	9	6	28%	3%	-4	-1.1
✕Hoy Park 2018 · A	22	41→50	39→45	57→55	45	.197/.265/.287	.090	.262	6	17	26%	7%	52	-1.6	.220/.297/.304	.084	.293	6	16	25%	9%	70	-0.3	.229/.318/.327	.099	.300	9	17	24%	11%	81	+0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)