Jessada Brown — OGILVIE

Jessada BrownC FCL Marlins

Age 23 R/R 5'11" / 200 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 119 proj PA

wRC+†50

AVG/OBP/SLG.186 / .255 / .266

PA10

HR0

K%36

BB%7

ISO80

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

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	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.3M	+$0.0M

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	22	A	Jupiter Hammerheads	—	37	32	5	1	0	1	2	14	1	2	0	156	229	281	510	125	211	38	5	222	36	-3	+0	—	—	+1	-0.2
2025	22	ROK	FCL Marlins	—	84	69	12	0	0	1	11	26	3	5	1	174	313	217	531	43	256	31	13	261	63	-4	+1	—	—	+2	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	Jupiter Hammerheads	—	37	33	4	1	0	1	1	20	1	2	0	121	171	242	414	121	190	54	3	176	5	-4	+0	—	—	+1	-0.3
2025	22	ROK MLE	FCL Marlins	—	84	73	8	0	0	1	7	38	3	5	1	110	217	151	368	41	200	45	8	171	2	-10	+1	—	—	+2	-0.8
2025	22	ROK MLE	2 teams	—	121	106	12	1	0	1	8	58	4	7	1	113	203	151	354	38	220	48	7	173	3	—	—	—	—	—	—
2025	22	ROK RAW	2 teams	—	121	101	17	1	0	2	13	40	4	7	1	168	288	238	526	69	242	33	11	249	3	—	—	—	—	—	—
2025	22	ROK MLE	2 teams	—	121	108	12	1	0	1	8	58	4	7	1	111	203	148	352	37	197	48	7	173	3	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	ROK MLE	2 teams	—	121	108	12	1	0	1	8	58	4	7	1	111	203	148	352	37	197	48	7	173	3	—	—	—	—	—	—
▸ 2026 season
2026	23	MLB MLE	MIA	0%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		289	40	10	242	50	-1	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	MIA	30%	198	179	35	5	1	3	14	68	3	4	1	196	265	285	550	89	290	34	7	252	57	-10	+0	+0	+4	+4	-0.2
2028	25	MLB MLE	MIA	44%	289	262	53	8	2	5	21	96	4	5	1	202	272	305	577	103	291	33	7	259	61	-13	+1	+0	+5	+6	-0.1
2029	26	MLB MLE	MIA	51%	351	317	64	10	2	6	26	115	5	7	1	202	273	303	576	101	291	33	7	263	64	-15	+1	+0	+6	+8	-0.0
2030	27	MLB MLE	MIA	52%	383	346	70	11	2	7	29	124	5	7	1	202	274	306	580	104	290	32	8	265	65	-16	+1	+0	+7	+8	0.0
2031	28	MLB MLE	MIA	53%	401	362	73	12	2	7	30	131	6	7	1	202	274	304	578	102	290	33	7	264	65	-17	+1	-1	+7	+9	-0.1
2032	29	MLB MLE	MIA	53%	405	365	73	12	2	7	31	133	6	7	1	200	274	301	575	101	289	33	8	262	63	-18	+1	-1	+7	+9	-0.2
2027	24	MLB CTX	MIA	30%	60	55	11	2	0	1	4	20	1	1	0	200	267	291	558	91	283	33	7	236	57	-3	+0	+0	+1	+1	-0.1
2028	25	MLB CTX	MIA	44%	128	116	22	3	1	2	9	43	2	2	0	190	260	284	544	95	283	34	7	242	61	-6	+0	+0	+2	+3	-0.0
2029	26	MLB CTX	MIA	51%	178	160	32	5	1	3	13	58	3	3	1	200	273	300	573	100	283	33	7	247	64	-8	+0	+0	+3	+4	-0.0
2030	27	MLB CTX	MIA	52%	201	181	35	5	1	3	15	65	3	4	1	193	266	282	548	88	283	32	7	248	65	-8	+0	+0	+4	+4	0.0
2031	28	MLB CTX	MIA	53%	214	193	38	6	1	4	16	70	3	4	1	197	269	301	569	104	282	33	7	247	65	-9	+0	-0	+4	+5	-0.1
2032	29	MLB CTX	MIA	53%	213	192	38	6	1	4	16	70	3	4	1	198	270	302	572	104	282	33	8	245	63	-9	+0	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	994	897	176	27	5	17	73	326	15	18	4	196	268	294	562	98	284	33	7	246	60	-43	+2	-1	+18	+22	-0.3
/ 162G	—	A+C		—	650	587	115	18	3	11	48	213	10	12	3	196	269	293	562	97	284	33	7	246	60	-28	+1	-1	+12	+14	-0.2
Career	—	MLE		—	2158	1946	381	59	11	36	160	729	33	44	7	196	268	293	561	97	289	34	7	257	60	-89	+5	-2	+36	+44	-0.6
/ 162G	—	MLE		—	650	586	115	18	3	11	48	220	10	13	2	196	269	294	562	97	290	34	7	257	60	-28	+2	-1	+12	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy 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
#3John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.7	1,111	19	20	201	269	300	+20	+16	0.3	0.4
/162	664	11	12	+11.9	+9.6	0.2	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -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
Jessada Brown (OGILVIE)	23	—	—	—	—	186/255/266	79	289	1	2	36%	7%	50	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Steven Baron 2014 · A	23	35	40→45	53→50	34	179/213/275	95	257	7	9	33%	4%	34	-3.5	216/264/299	83	296	5	9	27%	6%	59	-1.7	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Nick Quintana 2021 · A	23	39→40	39→45	49→45	36	186/240/271	86	298	6	9	38%	6%	44	-2.8	182/266/288	106	256	11	5	31%	9%	59	-1.6	164/257/264	101	226	11	3	30%	10%	49	-1.3
✕Blake Hunt 2022 · AA	23	35	43→45	49→40	39	180/241/289	109	274	11	4	37%	7%	49	-2.4	201/257/318	117	274	12	4	30%	6%	62	-1.4	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Andy Yerzy 2021 · A	23	35	38→50	49→40	35	174/226/251	77	275	5	7	37%	5%	34	-3.5	188/272/333	145	263	18	6	34%	9%	72	-0.7	166/252/300	134	233	18	4	36%	9%	55	-1.0
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Grayson Greiner 2016 · A	23	37	38→45	46→30	37	181/234/253	73	279	6	3	36%	6%	38	-3.2	211/265/312	101	293	9	3	29%	6%	63	-1.4	217/276/324	107	289	10	0	27%	7%	67	-0.6
✕Tyler Grimes 2013 · A	23	37	42→40	46→40	40	180/259/284	104	282	9	8	37%	8%	55	-1.9	203/277/297	94	309	7	5	34%	7%	65	-1.2	203/279/289	86	310	6	2	34%	7%	62	-0.8
✕Matt Winn 2016 · A	23	40→34	40→45	50→30	37	197/245/288	92	293	7	7	34%	6%	50	-2.3	187/244/309	122	304	14	2	40%	7%	55	-2.0	153/215/263	110	288	11	0	48%	7%	31	-1.6
✕Fabian Pertuz 2023 · A	22	37→34	40	49→55	33	186/229/277	91	285	8	9	37%	4%	41	-3.0	175/226/265	90	273	8	12	37%	5%	38	-3.2	148/203/228	80	231	8	13	38%	5%	19	-2.4
✕Taylor Snyder 2018 · A	23	36→34	44→50	47→50	32	186/229/299	113	278	11	13	37%	4%	47	-2.6	195/241/315	120	305	12	12	38%	5%	55	-2.0	189/239/340	151	271	18	12	36%	5%	59	-1.1
✕Jason Lopez 2021 · A	23	40	43→50	46→45	38	201/248/313	112	281	10	7	32%	5%	57	-1.8	196/259/294	98	295	9	10	34%	8%	57	-1.8	166/232/250	84	247	9	10	35%	8%	35	-0.9
✕Chris Okey 2018 · A	23	34	38→45	48→40	35	169/226/243	74	276	6	5	39%	6%	33	-3.6	182/236/280	98	272	10	4	35%	6%	45	-2.7	205/259/305	100	287	9	2	30%	5%	56	-0.6
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	174/222/255	81	277	7	4	39%	5%	34	-3.5	184/241/265	81	306	8	5	40%	6%	44	-2.8	141/191/216	75	260	9	0	47%	5%	11	-1.0
✕Raul Siri 2018 · A	23	39	38→40	51→50	42	192/251/271	80	265	6	11	29%	7%	49	-2.4	199/265/283	84	347	5	9	41%	7%	57	-1.8	146/235/232	85	299	4	14	47%	8%	34	-0.6
✕Claudio Finol 2023 · AA	23	38	37→40	50→45	40	186/240/263	77	257	4	8	28%	6%	42	-2.9	207/267/299	92	292	8	10	30%	7%	61	-1.5	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Joe Donovan 2022 · A	23	40	42→45	52→40	36	184/265/287	103	318	10	10	42%	7%	59	-1.7	185/248/295	110	296	10	5	39%	6%	53	-2.1	170/230/284	114	263	11	2	38%	5%	42	-1.0
✕Alejandro Torres 2012 · A	23	37	37→40	46→40	35	182/219/253	71	267	5	5	33%	4%	31	-3.7	206/261/282	76	313	5	6	33%	6%	54	-2.0	206/271/236	30	326	0	0	34%	7%	47	-0.4
✕Ben Gobbel 2023 · A	23	42→41	36→45	47→50	41	197/257/265	68	280	4	7	30%	6%	49	-2.4	211/269/323	112	288	12	13	30%	6%	68	-1.0	212/261/335	123	271	15	11	27%	4%	64	-0.9
✕Maverick Handley 2022 · A	24	40	41→40	53→50	40	186/267/286	100	308	9	16	39%	8%	59	-1.6	198/287/297	99	276	9	12	30%	9%	70	-0.9	190/279/259	68	265	4	8	27%	9%	56	-0.7
✕Jackson Loftin 2023 · A	23	42→34	42→40	53→65	36	196/266/298	102	320	9	14	39%	6%	61	-1.5	181/256/275	94	265	9	31	33%	7%	53	-2.1	159/240/244	85	229	9	40	33%	7%	37	-1.9

Career Stats + Projections

Career Comps

Career Path Comps