Brando Mayea — OGILVIE

Brando MayeaOF Tampa Tarpons

Age 20 R/R 5'10" / 175 lbs A HR +8%BB +8% Svc 0.0 · Ctrl thru 2036 peak 1.6 · 2032

wRC+†23

AVG/OBP/SLG.215 / .286 / .340

PA92

HR2

K%29

BB%8

MLB%0%

Scouting · now → future

HIT

45→45

PWR

40→40

SPD

50→50

FLD

50→50

EYE

43↗48

trajectory · 10 yrs

1.6peak

2032

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	+1.6	$15M	+$14M
2033	Ext / FA-deal	$1.0M	+1.6	$16M	+$15M
2034	Ext / FA-deal	$3M	+1.5	$15M	+$12M
2035	Ext / FA-deal	$4M	+1.3	$14M	+$9M
2036	Ext / FA-deal	$5M	+1.1	$12M	+$6M
Totals		$16M		$86M	+$70M

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
2023	17	ROK	DSL NYY Yankees	170	155	33	5	1	1	12	40	3	22	7	.213	.282	.277	.560	.065	.281	24	7	.247	47	-10	+2	+0	-1	+5	-0.5
2024	18	ROK	FCL Yankees	154	141	26	1	1	0	10	65	3	19	3	.184	.253	.206	.459	.021	.342	42	6	.214	22	-14	+3	+0	-1	+4	-0.8
2025	19	ROK	FCL Yankees	84	77	15	3	1	1	4	27	3	4	3	.195	.262	.299	.561	.104	.286	32	5	.233	37	-6	-0	+0	-1	+2	-0.5
▸ 2026 Season (actual · ROS · total)
2026	20	A	Tampa Tarpons	78	72	12	3	0	1	5	33	1	1	0	.167	.231	.250	.481	.083	.289	42	6	.205	15	-7	+0	+0	-0	+2	-0.6
ROS	20	MLB	NYY	14	13	3	1	0	0	1	4	0	0	0	.231	.286	.308	.593	.077	.289	29	7	.275	69	-0	+0	+0	-0	+0	-0.0
TOT	20	MLB	NYY	92	85	15	4	0	1	6	37	1	1	0	.176	.239	.259	.498	.082	.298	40	7	.216	23	-8	+0	+0	-1	+3	-0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	NYY	198	176	39	7	1	5	17	46	3	4	1	.222	.301	.358	.659	.136	.270	23	9	.297	86	-3	+0	+0	-1	+6	0.2
2028	22	MLB 28%	NYY	324	287	66	12	2	9	30	73	4	7	1	.230	.312	.380	.691	.150	.273	23	9	.307	93	-2	+1	+0	-2	+9	0.6
2029	23	MLB 48%	NYY	409	362	85	16	2	12	39	90	5	8	2	.235	.318	.390	.707	.155	.274	22	10	.314	98	-1	+1	+0	-2	+12	0.9
2030	24	MLB 62%	NYY	466	411	96	18	2	14	46	101	6	9	2	.234	.320	.389	.709	.156	.275	22	10	.318	102	+1	+1	+0	-3	+13	1.3
2031	25	MLB 80%	NYY	498	439	103	19	2	15	50	107	6	10	2	.235	.321	.390	.711	.155	.275	21	10	.321	104	+2	+1	+0	-3	+14	1.5
2032	26	MLB 94%	NYY	516	451	107	20	2	16	53	111	7	10	2	.237	.327	.397	.724	.160	.276	22	10	.323	105	+3	+1	+0	-3	+15	1.6
2033	27	MLB	NYY	523	457	108	20	2	16	54	113	7	10	2	.236	.326	.394	.720	.158	.276	22	10	.323	105	+3	+1	+0	-3	+15	1.6
2034	28	MLB	NYY	523	457	107	20	2	16	54	114	7	9	1	.234	.324	.392	.716	.158	.275	22	10	.322	104	+3	+1	-1	-3	+15	1.5
2035	29	MLB	NYY	516	450	105	19	2	16	54	114	7	9	1	.233	.325	.391	.716	.158	.274	22	10	.320	103	+2	+1	-1	-3	+15	1.3
2036	30	MLB	NYY	507	443	102	19	2	15	53	114	6	8	1	.230	.321	.384	.704	.153	.273	22	10	.317	100	+0	+1	-2	-3	+14	1.1
2037	31	MLB	NYY	494	433	98	18	2	14	52	113	6	7	0	.226	.318	.374	.692	.148	.271	23	11	.313	98	-1	+1	-3	-3	+14	0.8
2038	32	MLB	NYY	477	418	93	17	2	13	50	111	6	6	0	.222	.314	.366	.680	.144	.270	23	10	.308	94	-3	+1	-4	-3	+14	0.5
2039	33	MLB	NYY	448	394	86	15	2	12	46	108	5	6	0	.218	.308	.358	.666	.140	.268	24	10	.303	90	-5	+1	-4	-3	+13	0.2
2040	34	MLB	NYY	402	353	75	13	2	10	41	100	5	6	0	.212	.303	.346	.649	.133	.266	25	10	.296	85	-7	+1	-5	-2	+11	-0.2
2041	35	MLB	NYY	348	306	63	11	1	8	35	90	4	5	0	.206	.296	.327	.622	.121	.264	26	10	.288	79	-8	+1	-6	-2	+10	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			7071	6223	1410	254	31	193	701	1641	93	159	28	.227	.314	.370	.684	.144	.275	23	10	.308	94	-48	+21	-25	-42	+200	10.8
/ 162G	—			650	572	130	23	3	18	64	151	9	15	3	.227	.315	.372	.687	.145	.276	23	10	.308	94	-4	+2	-2	-4	+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
2023	17	ROK	DSL NYY Yankees	170	145	40	7	1	3	22	27	3	22	7	.276	.382	.400	.782	.124	.322	16	13	.357	131	+6	+2	—	—	+5	1.3
2024	18	ROK	FCL Yankees	154	135	38	2	2	0	16	43	3	19	3	.281	.370	.326	.696	.044	.413	28	10	.324	106	+1	+3	—	—	+4	0.8
2025	19	ROK	FCL Yankees	84	74	22	4	1	3	6	19	3	4	3	.297	.369	.500	.869	.203	.365	23	7	.382	150	+5	-0	—	—	+2	0.7

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
Brando Mayea (OGILVIE)	20	45	40	50	48	.215/.286/.340	.125	.289	2	2	29%	8%	76	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Noelvi Marte 2021 · A	19	44→53	44→50	50→55	42	.218/.268/.339	.121	.285	11	12	27%	6%	66	-0.6	.231/.294/.375	.144	.300	17	16	27%	7%	87	+0.8	.236/.302/.381	.145	.298	17	19	26%	8%	88	+0.8
✕Ronarsy Ledesma 2012 · A	19	42	42→45	47→50	43	.205/.277/.309	.104	.271	9	8	27%	6%	64	-0.8	.224/.284/.326	.102	.290	5	11	24%	5%	70	-0.3	.226/.280/.337	.111	.291	6	11	23%	4%	69	-0.2
✕Efrain Contreras 2007 · A	20	44	41→45	51→55	44	.212/.278/.308	.097	.264	8	8	22%	6%	63	-0.8	.227/.291/.336	.109	.276	10	14	21%	6%	76	+0.0	.227/.291/.331	.104	.281	10	15	22%	5%	72	-0.1
●Dilson Herrera 2014 · A	20	43→53	45→50	49→50	40	.213/.264/.339	.126	.281	12	11	28%	6%	65	-0.7	.248/.297/.383	.135	.313	14	13	24%	6%	90	+1.0	.257/.307/.397	.140	.313	15	13	22%	6%	94	+1.2
●Jahmai Jones 2018 · A	20	48→50	42→55	51→50	43	.232/.283/.339	.107	.293	9	16	24%	6%	72	-0.2	.209/.268/.311	.102	.277	8	14	26%	7%	59	-1.1	.250/.346/.432	.182	.322	17	18	26%	11%	119	+1.6
✕Ramon Alvarado 2006 · A	21	44	44→45	49→50	44	.217/.294/.338	.120	.284	11	10	26%	7%	79	+0.3	.204/.269/.309	.105	.272	10	9	28%	6%	60	-1.0	.149/.205/.231	.081	.185	13	9	27%	4%	14	-0.8
✕Yusniel Díaz 2017 · A	20	45→52	43→45	45→50	41	.221/.268/.332	.111	.293	11	9	28%	6%	64	-0.8	.231/.286/.350	.119	.305	12	9	27%	7%	76	+0.1	.231/.291/.359	.128	.299	13	7	26%	8%	78	+0.2
✕Jose Medina 2007 · A	20	45	42→45	46→50	44	.218/.285/.328	.110	.287	10	8	26%	7%	71	-0.3	.207/.284/.324	.117	.277	11	9	28%	8%	71	-0.3	.185/.273/.306	.122	.242	13	9	28%	8%	61	-0.3
✕Jonathan Galvez 2011 · A	20	44→48	43→45	49→55	46	.210/.289/.319	.109	.300	10	12	32%	9%	71	-0.3	.227/.281/.348	.121	.324	11	19	31%	6%	74	-0.1	.232/.281/.348	.116	.327	10	23	31%	5%	71	-0.2
✕Rudy van Heydoorn 2009 · A	20	40	43→45	43→50	47	.193/.290/.298	.105	.281	11	10	32%	10%	67	-0.5	.182/.264/.285	.103	.284	10	6	37%	8%	52	-1.6	.153/.236/.254	.101	.237	11	2	38%	9%	32	-0.9
✕Sean Henry 2006 · A	20	42→52	43→50	55	42	.206/.271/.314	.108	.302	10	15	34%	8%	62	-0.9	.225/.279/.352	.127	.288	12	19	25%	6%	75	-0.0	.247/.300/.379	.132	.296	12	17	20%	6%	87	+0.7
●Justyn-Henry Malloy 2022 · A	22	46→56	45→50	48→45	47	.224/.294/.345	.121	.300	13	10	29%	9%	79	+0.3	.233/.321/.379	.146	.324	18	5	31%	11%	100	+1.7	.234/.340/.391	.157	.320	18	5	30%	12%	109	+2.0
✕Iverson Leonardo 2022 · A	20	42	44→50	47→50	42	.203/.279/.327	.124	.304	10	9	34%	8%	69	-0.4	.188/.266/.293	.105	.307	9	8	39%	8%	55	-1.4	.155/.246/.249	.095	.261	8	8	40%	9%	34	-0.7
●Alonzo Harris 2009 · A	20	44→50	45→55	50→60	40	.221/.276/.342	.121	.296	13	11	29%	6%	71	-0.3	.205/.243/.307	.102	.275	11	12	29%	4%	46	-2.0	.240/.296/.401	.161	.286	19	35	22%	7%	92	+0.9
✕Bryan Ramos 2022 · A	20	40	45→50	49→50	41	.203/.270/.328	.125	.273	12	8	30%	6%	66	-0.6	.212/.271/.357	.145	.264	19	5	27%	6%	73	-0.1	.206/.264/.348	.141	.251	20	5	26%	6%	65	-0.5
●Felix Reyes 2022 · A	21	42→52	43→50	49→45	38	.205/.269/.316	.111	.287	11	12	31%	5%	62	-0.9	.203/.244/.316	.113	.258	13	7	26%	4%	50	-1.7	.241/.274/.386	.144	.275	17	8	19%	4%	81	+0.2
✕Jose Paez 2014 · A	20	46	39→45	51→50	38	.218/.263/.312	.093	.303	5	12	29%	5%	56	-1.3	.209/.259/.289	.080	.322	4	10	34%	6%	50	-1.8	.195/.251/.252	.057	.320	4	11	38%	6%	32	-0.6
●Gabriel Gonzalez 2023 · A	19	46→56	44→50	49→45	43	.229/.294/.349	.120	.281	12	9	22%	5%	81	+0.4	.243/.297/.369	.126	.293	13	7	21%	5%	87	+0.8	.254/.307/.383	.129	.303	13	6	20%	5%	92	+0.9
✕Blaze Jordan 2023 · A	20	48→49	47→50	49→40	42	.238/.287/.376	.137	.302	14	5	26%	6%	84	+0.6	.240/.281/.377	.137	.278	15	4	19%	5%	82	+0.5	.241/.281/.381	.140	.264	17	3	16%	5%	80	+0.3
✕Clint Frazier 2016 · A	21	44→46	44→55	47→50	40	.213/.274/.332	.119	.314	11	9	34%	7%	68	-0.5	.227/.285/.378	.151	.308	15	11	30%	7%	84	+0.6	.237/.308/.417	.181	.301	20	6	27%	8%	101	+0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)