Browm Martinez — OGILVIE

Browm MartinezCF FCL Nationals

Age 19 R/R 5'10" / 161 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION137 act + 12 ros · stats below = ROS only

showingROS

wRC+†70

AVG/OBP/SLG.182 / .250 / .182

PA12

HR0

K%33

BB%8

BABIP281

ISO96

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Tools · ContractCON 44 / POW 43

Toolsscout grade

CONTACT44

scouting grade only

POWER43

scouting grade only

EYE55

scouting grade only

SPEED69

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	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-2	$3M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$4M	+$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.

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)
2024	17	ROK	DSL NYY Bombers	—	140	115	32	4	0	0	15	25	7	21	6	278	394	313	707	35	344	18	11	329	109	+1	+2	—	—	+3	0.6
2025	18	ROK	DSL NYY Bombers	—	69	57	23	4	0	3	6	8	6	13	1	404	507	632	1.139	228	435	12	9	499	224	+10	+2	—	—	+1	1.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL NYY Bombers	—	140	121	25	3	0	0	9	36	7	21	6	207	299	231	531	25	265	26	6	238	47	-9	+2	—	—	+3	-0.4
2025	18	ROK MLE	DSL NYY Bombers	—	69	59	18	3	0	2	4	12	6	13	1	305	406	458	863	153	345	17	6	368	135	+3	+2	—	—	+1	0.7
2024	17	ROK MLE	DSL NYY Bombers	—	140	121	25	3	0	0	9	36	7	21	6	207	299	231	531	25	284	26	6	238	47	—	—	—	—	—	—
2024	17	ROK RAW	DSL NYY Bombers	—	140	115	32	4	0	0	15	25	7	21	6	278	394	313	707	35	344	18	11	329	47	—	—	—	—	—	—
2025	18	ROK MLE	DSL NYY Bombers	—	69	59	18	3	0	2	4	12	6	13	1	305	406	458	863	153	356	17	6	368	135	—	—	—	—	—	—
2025	18	ROK RAW	DSL NYY Bombers	—	69	57	23	4	0	3	6	8	6	13	1	404	507	632	1.139	228	435	12	9	499	135	—	—	—	—	—	—
2024	17	ROK MLE	DSL NYY Bombers	—	140	123	25	3	0	0	9	36	7	21	6	203	299	228	527	24	265	26	6	238	47	—	—	—	—	—	—
2025	18	ROK MLE	DSL NYY Bombers	—	69	59	18	3	0	2	4	12	6	13	1	305	406	458	863	153	345	17	6	368	135	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL NYY Bombers	—	140	123	25	3	0	0	9	36	7	21	6	203	299	228	527	24	265	26	6	238	47	—	—	—	—	—	—
2025	18	ROK MLE	DSL NYY Bombers	—	69	59	18	3	0	2	4	12	6	13	1	305	406	458	863	153	345	17	6	368	135	—	—	—	—	—	—
YTD	19	ROK MLE	WSH	—	137	116	21	3	0	3	15	49	6	7	7	181	307	284	591	103	281	36	11	270	69	-5	-1	+0	+0	+3	-0.3
▸ 2026 season
YTD	19	ROK RAW	WSH	—	137	107	29	5	0	4	24	34	6	7	7	271	431	430	861	159	362	25	18	394	69	—	—	—	—	—	—
ROS	19	ROK MLE	WSH	0%	12	11	2	0	0	0	1	4	0	0	0	182	250	182	432		283	33	8	271	70	-0	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	WSH	—	149	127	23	3	0	3	16	53	6	7	7	181	302	276	578	94	282	36	11	270	69	-6	-1	+0	+1	+3	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	WSH	34%	203	179	38	6	1	4	17	59	5	6	2	212	299	324	623	112	286	29	8	281	76	-6	+0	+0	+1	+4	-0.0
2028	21	MLB MLE	WSH	48%	334	295	63	11	1	7	29	95	7	10	3	214	299	329	628	115	288	28	9	287	81	-8	+1	+0	+1	+7	0.2
2029	22	MLB MLE	WSH	54%	429	380	82	14	2	9	37	120	9	12	5	216	300	334	635	118	289	28	9	292	83	-8	+0	+0	+2	+9	0.3
2030	23	MLB MLE	WSH	57%	492	435	95	16	2	11	43	136	11	14	5	218	305	340	645	122	290	28	9	294	85	-9	+1	+0	+2	+11	0.5
2031	24	MLB MLE	WSH	57%	532	470	104	18	2	12	46	146	11	16	6	221	306	345	650	123	290	27	9	296	86	-9	+1	+0	+2	+12	0.6
2032	25	MLB MLE	WSH	57%	556	491	109	19	2	13	48	153	12	16	6	222	307	348	655	126	290	28	9	297	87	-9	+1	+0	+2	+12	0.6
2033	26	MLB MLE	WSH	56%	569	502	111	19	2	13	50	156	12	17	6	221	307	345	651	124	290	27	9	297	87	-9	+1	+0	+2	+12	0.7
2034	27	MLB MLE	WSH	55%	572	504	111	19	2	13	51	157	12	17	6	220	307	343	650	123	290	27	9	297	87	-9	+1	+0	+2	+12	0.7
2035	28	MLB MLE	WSH	55%	569	501	110	19	2	13	51	157	12	16	6	220	307	343	650	124	290	28	9	296	86	-9	+1	-1	+2	+12	0.5
2036	29	MLB MLE	WSH	53%	561	494	108	18	2	13	50	156	12	16	6	219	306	342	648	123	289	28	9	294	85	-10	+1	-1	+2	+12	0.4
2037	30	MLB MLE	WSH	53%	551	484	105	18	2	12	50	155	12	15	5	217	306	337	643	120	288	28	9	292	84	-11	+1	-2	+2	+12	0.2
2038	31	MLB MLE	WSH	52%	538	474	101	17	2	11	48	153	11	14	5	213	300	327	627	114	286	28	9	288	81	-12	+1	-3	+2	+12	-0.1
2027	20	MLB CTX	WSH	34%	70	62	12	2	0	1	6	20	2	2	1	194	286	274	560	81	285	29	9	263	76	-2	+0	+0	+0	+2	-0.0
2028	21	MLB CTX	WSH	48%	162	143	31	5	1	3	14	46	4	5	2	217	304	329	633	112	287	28	9	270	81	-4	+0	+0	+1	+4	0.1
2029	22	MLB CTX	WSH	54%	233	206	45	8	1	5	20	65	5	7	2	218	303	340	643	121	288	28	9	275	83	-5	+1	+0	+1	+5	0.2
2030	23	MLB CTX	WSH	57%	278	246	53	9	1	6	24	77	6	8	3	215	301	333	634	118	288	28	9	277	85	-5	+0	+0	+1	+6	0.3
2031	24	MLB CTX	WSH	57%	301	266	59	10	1	7	26	83	6	9	3	222	305	346	651	124	289	28	9	279	86	-5	+1	+0	+1	+7	0.3
2032	25	MLB CTX	WSH	57%	314	277	60	10	1	7	27	86	7	9	3	217	302	336	638	119	289	27	9	279	87	-5	+1	+0	+1	+7	0.4
2033	26	MLB CTX	WSH	56%	321	283	62	11	1	7	28	88	7	10	3	219	305	339	644	120	289	27	9	280	87	-5	+1	+0	+1	+7	0.4
2034	27	MLB CTX	WSH	55%	317	279	61	10	1	7	28	87	7	9	3	219	306	337	643	118	289	27	9	280	87	-5	+1	+0	+1	+7	0.4
2035	28	MLB CTX	WSH	55%	312	274	60	10	1	7	28	86	7	9	3	219	307	339	647	120	289	28	9	279	86	-5	+1	-0	+1	+7	0.3
2036	29	MLB CTX	WSH	53%	300	264	58	10	1	7	27	84	6	8	3	220	306	345	651	125	288	28	9	277	85	-5	+0	-1	+1	+6	0.2
2037	30	MLB CTX	WSH	53%	290	256	55	9	1	6	26	82	6	8	3	215	302	328	630	113	287	28	9	275	84	-6	+0	-1	+1	+6	0.1
2038	31	MLB CTX	WSH	52%	281	248	53	9	1	6	25	80	6	7	3	214	301	331	632	117	285	28	9	271	81	-6	+0	-1	+1	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3179	2804	609	103	11	69	279	884	69	91	32	217	304	336	639	118	289	28	9	277	84	-57	+5	-4	+11	+69	2.5
/ 162G	—	A+C		—	650	573	124	21	2	14	57	181	14	19	7	216	302	333	636	117	289	28	9	277	84	-12	+1	-1	+2	+14	0.5
Career	—	MLE		—	6127	5400	1182	200	22	133	534	1695	139	203	68	219	305	338	643	119	291	28	9	293	84	-108	+9	-7	+21	+128	4.5
/ 162G	—	MLE		—	650	573	125	21	2	14	57	180	15	22	7	218	306	335	641	117	290	28	9	293	84	-12	+1	-1	+2	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#2Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#3Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#4Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.9	3,265	73	94	220	302	342	+12	+18	4.7	4.2
/162	664	15	19	+2.4	+3.6	1.0	pk7: 4
#5Adam 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
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	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
Browm Martinez (OGILVIE)	19	39→44	38→43	64→69	55	200/287/297	96	283	1	3	30%	8%	70	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Buddy Kennedy 2018 · A	19	42→51	36→45	54→50	39	197/251/277	80	301	2	9	34%	6%	49	-2.4	214/267/308	94	281	7	5	25%	6%	62	-1.4	227/314/338	111	280	9	4	21%	9%	86	+0.3
✕Edwin Gomez 2007 · A	19	42	35→45	52→50	42	197/253/253	57	281	2	16	29%	7%	45	-2.7	219/296/310	91	297	7	13	26%	9%	74	-0.5	224/321/329	105	291	9	17	24%	11%	86	+0.1
✕Michael Crouse 2010 · A	19	37→39	38→50	56→55	39	179/240/260	81	282	4	21	36%	7%	42	-2.9	188/253/309	121	310	11	20	40%	7%	58	-1.7	195/263/321	126	297	12	19	36%	8%	62	-0.7
●Gregory Polanco 2012 · A	20	37→47	38→60	58→55	42	183/239/259	76	244	5	18	27%	6%	41	-3.0	247/299/377	130	293	13	24	20%	7%	91	+0.6	255/327/463	208	285	24	14	19%	9%	115	+2.0
✕Luis Liberato 2016 · A	20	37→47	37→50	53→50	41	180/242/256	76	270	4	13	33%	7%	42	-2.9	209/260/327	118	304	9	6	32%	7%	64	-1.3	213/280/360	147	293	15	9	31%	8%	79	-0.1
✕Elier Hernandez 2014 · A	19	41→51	37→50	53→50	35	198/235/274	76	285	3	6	31%	4%	42	-2.9	212/244/297	85	301	6	6	30%	3%	51	-2.3	224/274/361	136	295	15	9	28%	5%	74	-0.4
✕Ryan Vega 2016 · A	19	40	35→40	52→45	41	190/245/253	62	253	3	9	25%	5%	42	-2.9	221/274/312	91	286	8	7	24%	6%	66	-1.1	200/263/287	87	275	8	6	29%	6%	56	-0.8
✕Curtis Terry 2016 · A	19	43→40	38→55	51→30	37	202/249/288	86	305	4	6	34%	5%	51	-2.2	211/258/319	108	298	8	5	30%	5%	61	-1.5	212/275/372	160	262	19	1	26%	6%	78	-0.2
✕Allen Córdoba 2015 · A	19	43→52	35→45	49→55	41	204/251/262	58	269	3	11	25%	5%	45	-2.7	237/288/311	74	288	4	13	18%	6%	70	-0.8	252/309/331	79	298	5	15	16%	6%	80	-0.1
✕Christian Bethancourt 2011 · A	19	43→51	38→55	50	38	210/239/291	81	266	5	9	23%	3%	47	-2.5	228/249/311	83	280	7	10	21%	3%	55	-1.9	236/270/387	151	290	19	5	25%	4%	80	-0.1
●Aaron Altherr 2012 · A	21	41→51	37→55	54→50	35	199/239/268	69	295	5	17	33%	4%	42	-2.9	207/253/318	111	304	9	15	33%	5%	59	-1.6	244/317/420	177	301	18	14	24%	8%	104	+1.2
✕Óscar Mercado 2016 · A	21	42→52	37→50	54→60	41	202/242/273	71	242	4	26	19%	4%	45	-2.7	214/264/289	75	270	5	27	21%	5%	57	-1.8	235/299/388	153	272	15	22	19%	7%	91	+0.5
✕Tyler Whitaker 2022 · A	19	41	40	53→55	31	185/232/272	88	344	8	12	46%	6%	41	-3.0	164/232/249	85	313	8	12	47%	6%	37	-3.3	162/245/247	86	284	7	18	42%	8%	40	-1.6
✕Rymer Liriano 2011 · A	20	37→47	41→45	49→55	33	186/229/281	96	294	10	15	39%	5%	42	-2.9	235/283/354	119	322	10	26	29%	5%	79	-0.2	243/295/366	123	333	11	27	29%	6%	84	+0.2
✕Junior Lake 2010 · A	20	42→52	39→45	50→55	31	202/232/290	88	309	6	9	36%	3%	45	-2.7	222/264/328	106	319	9	17	32%	5%	65	-1.2	228/299/358	130	286	13	19	24%	8%	84	+0.1
✕Granden Goetzman 2012 · A	19	39→44	36→45	51→55	41	187/245/251	65	267	3	12	30%	6%	41	-3.0	199/245/288	89	276	6	13	29%	5%	49	-2.4	213/244/319	106	283	7	25	27%	4%	52	-0.9
✕Nick Pratto 2018 · A	19	39→45	40→55	49→50	39	188/247/287	99	289	7	10	36%	7%	51	-2.3	185/235/286	101	310	10	12	41%	6%	46	-2.6	194/287/372	178	283	22	7	37%	10%	85	+0.2
✕Demi Orimoloye 2017 · A	20	36→37	42→45	53→55	36	182/231/280	98	265	10	19	35%	5%	43	-2.8	181/232/278	97	277	9	18	36%	5%	42	-2.9	180/226/278	98	281	10	17	38%	4%	37	-2.3
✕Angel Molina 2017 · A	19	37	39→40	50→55	40	183/236/266	82	230	7	15	24%	4%	42	-2.9	195/240/284	89	253	7	8	25%	4%	47	-2.6	176/207/266	90	220	8	0	24%	2%	30	-1.1
✕Antonio Tovar 2014 · A	18	40	34→30	53→45	47	187/263/237	50	262	2	14	27%	9%	45	-2.7	205/274/264	59	266	2	10	22%	8%	55	-1.9	206/272/262	56	259	3	9	20%	8%	53	-0.9

Career Stats + Projections

Career Comps

Career Path Comps