Brainerh Palacios

Brainerh PalaciosC DSL Tampa Bay

Age 18 R/R 5'11" / 160 lbs ROK HR +6%H +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION170 act + 17 ros · stats below = ROS only

showingROS

wRC+†52

AVG/OBP/SLG.125 / .176 / .125

PA17

HR0

K%24

BB%6

BABIP259

ISO74

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$13M ctrl surplus

Tools · ContractCON 35 / POW 20

Toolsscout grade

CONTACT35

scouting grade only

POWER20

scouting grade only

EYE50

scouting grade only

SPEED45

scouting grade only

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	+0.4	$0.9M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.4	$0.8M	+$0.0M (cut)
2036	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-3	$4M	+0.3	$0.5M	+$0.0M (cut)
Totals		$3M		$5M	+$1M

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)
2025	17	ROK	DSL Rays	—	191	158	35	4	1	0	26	36	3	7	4	222	342	259	602	38	278	19	14	284	78	-5	-0	—	—	+4	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rays	—	191	168	29	3	1	0	16	52	3	7	4	173	257	202	459	30	225	27	8	207	26	-17	-0	—	—	+4	-1.3
2025	17	ROK MLE	DSL Rays	—	191	168	29	3	1	0	16	52	3	7	4	173	257	202	459	30	242	27	8	207	26	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rays	—	191	158	35	4	1	0	26	36	3	7	4	222	342	259	602	38	278	19	14	284	26	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rays	—	191	170	29	3	1	0	16	52	3	7	4	171	257	200	457	29	225	27	8	207	26	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Rays	—	191	170	29	3	1	0	16	52	3	7	4	171	257	200	457	29	225	27	8	207	26	—	—	—	—	—	—
YTD	18	ROK MLE	TB	—	170	150	24	4	0	3	14	46	3	3	2	160	246	247	492	87	206	27	8	218	34	-13	-0	+0	+3	+4	-0.7
▸ 2026 season
YTD	18	ROK RAW	TB	—	170	141	30	5	0	4	23	32	3	3	2	213	335	333	669	121	245	19	14	306	34	—	—	—	—	—	—
ROS	18	ROK MLE	TB	0%	17	16	2	0	0	0	1	4	0	0	0	125	176	125	301		251	24	6	245	52	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	TB	—	187	166	26	4	0	3	15	50	3	3	2	157	239	235	474	78	202	27	8	220	35	-14	-0	+0	+3	+4	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	TB	34%	245	220	43	7	1	3	20	61	3	3	1	195	272	277	549	82	257	25	8	259	61	-11	+0	+0	+4	+5	-0.1
2028	20	MLB MLE	TB	48%	373	335	69	12	2	6	30	92	5	6	2	206	281	307	589	101	262	25	8	269	68	-14	+0	+0	+7	+8	0.1
2029	21	MLB MLE	TB	54%	468	420	88	15	2	9	38	114	7	7	3	210	286	319	605	110	264	24	8	276	73	-15	+0	+0	+8	+10	0.4
2030	22	MLB MLE	TB	57%	520	464	98	17	2	10	43	125	8	8	3	211	289	321	610	110	266	24	8	280	75	-15	+0	+0	+9	+11	0.6
2031	23	MLB MLE	TB	58%	520	464	100	17	2	11	43	124	8	8	3	216	293	332	625	116	266	24	8	282	77	-14	+0	+0	+9	+11	0.7
2032	24	MLB MLE	TB	57%	520	464	100	17	2	11	43	124	8	8	3	216	293	332	625	116	267	24	8	283	78	-14	+0	+0	+9	+11	0.7
2033	25	MLB MLE	TB	57%	520	463	100	17	2	11	44	123	8	8	3	216	295	333	628	117	267	24	8	284	78	-13	+0	+0	+9	+11	0.8
2034	26	MLB MLE	TB	57%	520	463	100	17	2	11	44	123	8	8	3	216	295	333	628	117	267	24	8	284	78	-13	+0	+0	+9	+11	0.8
2035	27	MLB MLE	TB	55%	520	463	100	17	2	11	44	124	8	8	3	216	295	333	628	117	267	24	8	284	78	-13	+0	+0	+9	+11	0.8
2036	28	MLB MLE	TB	55%	520	462	99	17	2	11	45	125	8	8	3	214	295	331	626	117	266	24	9	283	78	-14	+0	-1	+9	+11	0.7
2037	29	MLB MLE	TB	58%	520	462	99	17	2	11	45	126	8	8	3	214	295	331	626	117	265	24	9	281	77	-15	+0	-1	+9	+11	0.5
2038	30	MLB MLE	TB	60%	520	462	97	16	2	10	45	127	8	8	3	210	291	318	609	108	264	24	9	278	75	-16	+0	-2	+9	+11	0.3
2039	31	MLB MLE	TB	62%	504	448	93	16	2	9	44	125	7	7	3	208	289	312	601	105	262	25	9	274	72	-17	+0	-3	+9	+11	0.0
2027	19	MLB CTX	TB	34%	84	76	15	3	0	1	7	21	1	1	0	197	274	276	550	79	265	25	8	255	61	-4	+0	+0	+1	+2	-0.0
2028	20	MLB CTX	TB	48%	181	161	34	6	1	3	15	45	3	3	1	211	291	317	607	106	269	25	8	265	68	-7	+0	+0	+3	+4	0.1
2029	21	MLB CTX	TB	54%	254	227	49	9	1	5	21	62	4	4	1	216	294	330	624	115	272	24	8	271	73	-8	+0	+0	+5	+6	0.2
2030	22	MLB CTX	TB	57%	294	264	57	10	1	6	24	71	4	5	2	216	291	330	621	114	273	24	8	275	75	-9	+0	+0	+5	+6	0.3
2031	23	MLB CTX	TB	58%	299	268	58	10	1	6	25	71	4	5	2	216	293	328	621	112	274	24	8	278	77	-8	+0	+0	+5	+6	0.4
2032	24	MLB CTX	TB	57%	296	265	58	10	1	6	25	70	4	5	2	219	296	332	628	113	275	24	8	279	78	-8	+0	+0	+5	+6	0.4
2033	25	MLB CTX	TB	57%	295	264	57	10	1	6	25	70	4	5	2	216	294	330	623	114	275	24	8	280	78	-8	+0	+0	+5	+6	0.4
2034	26	MLB CTX	TB	57%	294	263	57	10	1	6	25	70	4	5	2	217	295	331	625	114	275	24	9	280	78	-8	+0	+0	+5	+6	0.4
2035	27	MLB CTX	TB	55%	289	258	56	10	1	6	25	69	4	5	2	217	296	333	630	116	275	24	9	280	78	-7	+0	+0	+5	+6	0.4
2036	28	MLB CTX	TB	55%	286	255	56	10	1	6	25	68	4	4	2	220	299	337	637	118	274	24	9	279	78	-8	+0	-0	+5	+6	0.3
2037	29	MLB CTX	TB	58%	302	269	58	10	1	6	26	73	4	5	2	216	294	327	621	112	273	24	9	277	77	-8	+0	-1	+5	+7	0.3
2038	30	MLB CTX	TB	60%	313	278	59	10	1	6	27	76	5	5	2	212	294	320	614	108	272	24	9	274	75	-9	+0	-1	+6	+7	0.2
2039	31	MLB CTX	TB	62%	311	277	59	10	1	6	27	77	4	4	2	213	292	321	614	108	269	25	9	270	72	-10	+0	-2	+6	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3498	3125	673	118	12	69	297	843	49	56	22	215	294	327	621	112	271	24	8	276	74	-102	+2	-4	+62	+76	3.5
/ 162G	—	A+C		—	650	581	125	22	2	13	55	157	9	10	4	215	293	327	620	112	271	24	8	276	74	-19	+0	-1	+12	+14	0.7
Career	—	MLE		—	6478	5774	1217	205	26	124	545	1569	97	102	40	211	290	320	609	109	265	24	8	277	74	-186	+5	-7	+112	+136	6.1
/ 162G	—	MLE		—	650	579	122	21	3	12	55	157	10	10	4	211	290	320	610	109	266	24	8	277	74	-19	+0	-1	+12	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Bobby 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
#3Danny 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
#4Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#5Sandy 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
#6Ronny 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 8 projected seasons	5.5	3,660	70	57	213	288	324	+65	+32	5.9	5.0
/162	664	13	10	+11.9	+5.8	1.1	pk7: 4

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
Brainerh Palacios (OGILVIE)	18	35	20	45	50	189/262/264	75	251	2	3	26%	8%	52	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Rafael P Valera 2013 · A	18	43	35→30	48→55	46	201/273/256	55	281	2	11	27%	8%	53	-2.1	207/290/260	53	271	1	14	22%	9%	61	-1.5	216/289/281	65	299	0	7	25%	8%	62	-0.4
✕Hector Martinez 2019 · A	18	36	35→30	43→50	46	169/244/226	56	218	3	7	22%	7%	36	-3.3	189/265/253	64	250	4	9	24%	8%	51	-2.3	170/243/221	52	234	3	7	27%	8%	32	-1.0
✕Manuel Falcon 2008 · A	18	43	35→30	49→50	41	200/260/254	54	286	2	8	29%	6%	48	-2.5	227/283/274	47	287	1	10	20%	6%	61	-1.5	240/298/272	32	295	0	11	17%	6%	65	-0.5
✕Hidekel Abreu 2016 · A	18	42	36→40	49→50	45	199/266/263	64	280	3	8	28%	8%	52	-2.2	223/284/304	81	293	5	10	24%	7%	68	-1.0	237/299/317	80	300	6	12	21%	8%	72	-0.3
✕Francisco Aponte 2009 · A	18	43	36→30	49→60	46	205/268/268	64	265	4	9	23%	7%	54	-2.0	230/305/289	59	291	2	17	20%	8%	73	-0.6	224/288/270	46	274	0	22	17%	8%	61	-0.6
✕Jonathan Matute 2015 · A	18	42	37→30	46→50	48	198/275/267	70	260	5	9	25%	8%	57	-1.8	186/265/245	59	270	3	7	29%	8%	49	-2.4	155/253/195	40	242	2	5	33%	10%	32	-0.9
✕Alfredo González 2011 · A	19	41	36→30	48→45	43	193/257/263	71	277	3	9	30%	7%	49	-2.4	184/230/252	68	247	3	9	26%	5%	36	-3.4	224/284/281	57	304	4	8	26%	7%	60	-0.5
✕José Alvarez 2018 · A	18	40	34→40	40→50	46	189/260/235	46	266	2	7	28%	8%	44	-2.8	218/275/277	59	303	2	7	27%	7%	58	-1.7	229/279/278	49	322	1	8	27%	6%	58	-0.4
✕Andrés Nolaya 2023 · A	18	41	35→45	44→50	47	190/277/250	60	289	2	10	32%	10%	55	-2.0	190/259/257	67	295	3	15	34%	7%	49	-2.4	198/276/278	80	279	7	21	29%	7%	58	-0.6
✕Marco Soto 2022 · A	18	41	36→30	52→50	42	194/263/258	64	277	3	10	29%	6%	51	-2.3	201/256/257	56	270	2	8	25%	5%	47	-2.5	183/237/221	38	251	1	8	26%	5%	30	-0.9
✕Rodrigo Vigil 2011 · A	18	38	36→30	48→30	44	180/248/248	68	235	3	6	24%	6%	42	-2.9	198/252/261	63	244	3	5	19%	5%	46	-2.6	233/267/301	69	271	3	2	15%	2%	57	-0.7
✕Kelvin Fajardo 2014 · A	18	44	35→30	46→50	48	204/261/260	56	246	3	6	18%	7%	49	-2.4	222/278/270	48	270	1	6	17%	6%	57	-1.8	224/280/257	33	266	0	6	15%	6%	55	-0.7
✕Elio Castillo 2012 · A	18	43	35→30	48→50	49	202/273/265	63	251	2	8	20%	8%	55	-1.9	213/285/265	52	263	2	8	18%	7%	60	-1.6	213/278/238	26	263	0	8	18%	7%	50	-0.7
✕Jean Carrillo 2015 · A	18	42	35→30	44→30	46	194/277/254	60	258	2	4	24%	7%	55	-1.9	200/266/264	64	239	3	4	17%	7%	53	-2.1	203/260/256	53	251	4	1	20%	6%	45	-0.8
✕Jose Perez 2022 · A	18	41	38→40	42→45	44	193/266/276	83	281	5	6	31%	8%	55	-1.9	200/299/287	87	269	5	7	25%	11%	71	-0.8	193/314/286	93	255	5	7	23%	13%	76	-0.1
✕Marco Guzman 2013 · A	18	37	35→45	47→50	47	176/257/242	66	244	2	8	26%	8%	45	-2.7	198/263/278	80	251	4	7	22%	8%	55	-2.0	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Keibert Petit 2017 · A	18	39	35→30	48→50	41	186/249/240	54	270	2	9	30%	6%	40	-3.0	194/261/263	69	288	4	10	31%	8%	51	-2.3	177/247/240	63	261	3	11	31%	8%	40	-1.0
✕Deivi Estrada 2019 · A	18	40	36→30	45→50	43	190/259/260	71	280	2	10	31%	7%	49	-2.4	210/287/274	64	289	3	9	26%	9%	63	-1.4	195/270/241	46	288	2	8	30%	8%	47	-0.8

Career Stats + Projections

Career Comps

Career Path Comps