Browm Martinez

CF FCL Nationals

Age 20 R/R 5'10" / 161 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1770ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL NYY Bombe…	140	.278/.394/.313	0	21	38	—	.175/.277/.192
2025	18	ROKDSL NYY Bombe…	69	.404/.507/.632	3	13	99	—	.237/.348/.322
2026	19	ROKWSH	137	.271/.431/.430	4	7	68	—	.181/.307/.284
2027PROJMLE	20	MLBWSH	247	.205/.283/.294	3	7	65	0.0
2028PROJ34% MLB	21	MLBWSH	41	.209/.287/.307	1	1	71	-0.0
2029PROJ50% MLB	22	MLBWSH	107	.213/.291/.319	2	3	75	-0.0

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

wRC+79

wOBA73

ISO68

BB%65

Chase%40

K%34

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 96%

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 71 proj PA

wRC+†65

AVG/OBP/SLG.203 / .280 / .291

PA71

HR1

K%28

BB%8

ISO89

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · ContractCON 42 / POW 47

Toolsscout grade

CONTACT42

scouting grade only

POWER47

scouting grade only

EYE59

scouting grade only

SPEED65

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.6M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$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. 2027 = full-season projection (no games played yet). 2028+ 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	38	—	—	—	—	—	—
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	99	—	—	—	—	—	—
2026	19	ROK	FCL Nationals	—	137	107	29	5	0	4	24	34	6	7	7	271	431	430	861	159	362	25	18	394	68	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL NYY Bombers	—	140	120	21	2	0	0	10	30	7	21	6	175	277	192	469	17	222	21	7	224	38	—	—	—	—	—	—
2025	18	ROK MLE	DSL NYY Bombers	—	69	59	14	2	0	1	4	10	6	13	1	237	348	322	670	85	279	14	6	314	99	—	—	—	—	—	—
2026	19	ROK MLE	FCL Nationals	—	137	116	21	3	0	3	15	49	6	7	7	181	307	284	591	103	282	36	11	269	68	—	—	—	—	—	—
2024	17	ROK MLE	DSL NYY Bombers	—	140	120	21	2	0	0	10	30	7	21	6	175	277	192	469	17	226	21	7	224	38	—	—	—	—	—	—
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	38	—	—	—	—	—	—
2025	18	ROK MLE	DSL NYY Bombers	—	69	59	14	2	0	1	4	10	6	13	1	237	348	322	670	85	271	14	6	314	99	—	—	—	—	—	—
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	99	—	—	—	—	—	—
2026	19	ROK MLE	FCL Nationals	—	137	116	21	3	0	3	15	49	6	7	7	181	307	284	591	103	281	36	11	269	68	—	—	—	—	—	—
2026	19	ROK RAW	FCL Nationals	—	137	107	29	5	0	4	24	34	6	7	7	271	431	430	861	159	362	25	18	394	68	—	—	—	—	—	—
2024	17	ROK MLE	DSL NYY Bombers	—	140	122	21	2	0	0	10	30	7	21	6	172	277	189	466	16	222	21	7	224	38	—	—	—	—	—	—
2025	18	ROK MLE	DSL NYY Bombers	—	69	59	14	2	0	1	4	10	6	13	1	237	348	322	670	85	279	14	6	314	99	—	—	—	—	—	—
2026	19	ROK MLE	FCL Nationals	—	137	115	21	3	0	3	15	49	6	7	7	183	307	287	594	104	282	36	11	269	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL NYY Bombers	—	140	122	21	2	0	0	10	30	7	21	6	172	277	189	466	16	222	21	7	224	38	—	—	—	—	—	—
2025	18	ROK MLE	DSL NYY Bombers	—	69	59	14	2	0	1	4	10	6	13	1	237	348	322	670	85	279	14	6	314	99	—	—	—	—	—	—
2026	19	ROK MLE	FCL Nationals	—	137	115	21	3	0	3	15	49	6	7	7	183	307	287	594	104	282	36	11	269	68	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	WSH	0%	247	221	44	7	1	3	19	70	5	7	1	205	283	294	577	89	280	28	8	265	65	-10	+1	+0	+1	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	WSH	34%	123	110	24	4	1	2	10	34	2	3	1	210	288	309	596	99	281	28	8	273	71	-4	+0	+0	+0	+3	-0.1
2029	22	MLB MLE	WSH	50%	214	191	41	7	1	4	17	58	4	6	1	214	292	321	612	107	283	27	8	279	75	-6	+1	+0	+1	+5	-0.0
2030	23	MLB MLE	WSH	58%	309	275	60	10	2	6	25	83	6	9	2	217	295	330	625	113	284	27	8	284	78	-8	+1	+0	+1	+7	0.1
2031	24	MLB MLE	WSH	61%	381	340	75	12	2	8	31	102	7	11	2	220	297	338	636	118	286	27	8	288	81	-9	+1	+0	+1	+8	0.2
2032	25	MLB MLE	WSH	63%	422	378	83	14	2	9	34	112	7	12	2	222	299	344	643	122	286	27	8	291	83	-9	+2	+0	+2	+9	0.4
2033	26	MLB MLE	WSH	64%	444	397	88	15	2	10	36	117	8	12	2	222	299	345	644	123	286	26	8	291	83	-9	+2	+0	+2	+10	0.4
2034	27	MLB MLE	WSH	65%	453	405	89	15	2	10	37	120	8	12	2	221	298	343	641	122	285	26	8	290	82	-10	+2	+0	+2	+10	0.4
2035	28	MLB MLE	WSH	65%	453	405	89	15	2	10	37	121	8	11	2	219	296	338	635	119	285	27	8	287	81	-10	+1	-1	+2	+10	0.2
2036	29	MLB MLE	WSH	65%	445	399	86	14	2	9	36	121	7	10	2	217	294	332	626	115	283	27	8	284	78	-12	+1	-1	+2	+10	-0.1
2028	21	MLB CTX	WSH	34%	41	37	8	1	0	1	3	11	1	1	0	209	287	307	594	98	281	27	7	272	71	-1	+0	+0	+0	+1	-0.0
2029	22	MLB CTX	WSH	50%	107	95	20	3	0	2	9	29	2	3	1	213	291	319	610	106	282	27	8	278	75	-3	+0	+0	+0	+2	-0.0
2030	23	MLB CTX	WSH	58%	178	159	35	6	1	4	14	48	3	5	1	217	295	329	623	112	284	27	8	283	78	-5	+1	+0	+1	+4	0.0
2031	24	MLB CTX	WSH	61%	232	207	46	8	1	5	19	62	4	6	1	219	297	337	634	117	285	27	8	287	81	-5	+1	+0	+1	+5	0.1
2032	25	MLB CTX	WSH	63%	265	236	53	9	1	6	22	70	5	7	1	221	299	342	641	121	286	26	8	290	83	-5	+1	+0	+1	+6	0.2
2033	26	MLB CTX	WSH	64%	283	253	55	9	1	6	23	75	5	8	2	221	299	343	642	122	285	27	8	291	83	-6	+1	+0	+1	+6	0.2
2034	27	MLB CTX	WSH	65%	294	263	58	10	1	7	24	78	5	8	2	220	298	341	639	120	285	27	8	289	82	-6	+1	+0	+1	+6	0.2
2035	28	MLB CTX	WSH	65%	294	263	57	10	1	6	24	79	5	7	2	219	296	337	633	118	284	27	8	287	81	-7	+1	-0	+1	+6	0.1
2036	29	MLB CTX	WSH	65%	289	259	56	9	1	6	23	78	5	7	1	216	294	331	624	114	283	27	8	283	78	-7	+1	-1	+1	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1983	1772	388	65	7	43	161	530	35	52	11	219	297	336	633	117	286	27	8	287	78	-46	+6	-1	+7	+43	0.9
/ 162G	—	A+C		—	650	581	126	21	2	14	53	174	11	17	4	217	295	332	627	115	283	27	8	287	78	-15	+2	-0	+2	+14	0.3
Career	—	MLE		—	3661	3259	704	115	16	73	298	977	77	129	30	216	297	328	625	112	283	27	8	284	78	-79	+11	-2	+12	+72	1.4
/ 162G	—	MLE		—	650	579	125	20	3	13	53	173	14	23	5	216	297	328	625	112	283	27	8	284	78	-16	+2	-0	+2	+14	0.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKFCL Nationals · 137 PAwOBA .385 → .269 (−116)K% 24.8% → 35.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.82%	÷1.000	×1.440	—	—	35.74%
BB% (unintentional) /PA	17.52%	÷1.000	×0.620	—	×0.995	10.81%
HBP% /PA	4.38%	—	×0.720	—	×0.995	3.14%
Singles /BIP	27.40%	÷1.000	×0.820	×0.990	×0.995	22.14%
Doubles /BIP	6.85%	÷1.000	×0.720	×0.990	×0.995	4.86%
Triples /BIP	0.00%	÷1.000	×0.720	×0.990	×0.995	0.00%
Home runs /BIP	5.48%	÷1.000	×0.780	—	×0.995	4.25%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .385 → .269; ISO .159 → .114; BABIP .362 → .282. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL NYY Bombers · 69 PAwOBA .486 → .314 (−172)K% 11.6% → 14.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.59%	÷0.997	×1.220	—	—	14.19%
BB% (unintentional) /PA	8.70%	÷0.966	×0.700	—	×0.995	6.27%
HBP% /PA	8.70%	—	×0.700	—	×0.995	6.06%
Singles /BIP	32.65%	÷0.985	×0.680	—	×0.995	22.42%
Doubles /BIP	8.16%	÷1.019	×0.600	—	×0.995	4.78%
Triples /BIP	0.00%	÷0.961	×0.600	—	×0.995	0.00%
Home runs /BIP	6.12%	÷1.090	×0.470	—	×0.995	2.63%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 97, 2B 104, 3B 92, K 99, BB 93 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .486 → .314; ISO .228 → .113; BABIP .435 → .279. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL NYY Bombers · 140 PAwOBA .329 → .224 (−105)K% 17.9% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.86%	÷1.003	×1.220	—	—	21.72%
BB% (unintentional) /PA	10.71%	÷1.005	×0.700	—	×1.008	7.52%
HBP% /PA	5.00%	—	×0.700	—	×1.008	3.53%
Singles /BIP	31.11%	÷1.008	×0.680	×0.965	×1.008	20.41%
Doubles /BIP	4.44%	÷1.038	×0.600	×0.965	×1.008	2.50%
Triples /BIP	0.00%	÷1.150	×0.600	×0.965	×1.008	0.00%
Home runs /BIP	0.00%	÷1.658	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 232, 1B 102, 2B 108, 3B 130, K 101, BB 101 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .329 → .224; ISO .035 → .020; BABIP .344 → .222. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#1Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	/162	664	13	20	225	280	350	+1.8	+14.4	1.8	pk7: 4
#2Ruben Rivera'95-'03 * career totals — 7 seasons, 1,818 PA	2.7	1,818	64	50	206*	292*	376*	-1	+20	4.0	4.0
#2Ruben Rivera'95-'03 * career totals — 7 seasons, 1,818 PA	/162	664	23	18	206*	292*	376*	-0.3	+7.2	1.5	pk7: 4
#3Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
	/162	664	11	24	234	296	352	+3.6	+3.7	1.4	pk7: 4
#4Luis Matos'00-'06 * career totals — 6 seasons, 1,773 PA	2.7	1,773	30	72	245*	304*	365*	+1	+10	3.2	3.2
#4Luis Matos'00-'06 * career totals — 6 seasons, 1,773 PA	/162	664	11	27	245*	304*	365*	+0.3	+3.9	1.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.1	2,056	43	54	220	294	337	+7	+15	2.3	2.3
	/162	664	14	18	220	294	337	+2.4	+4.8	0.8	pk7: 2
#5Milt Cuyler'90-'98 * career totals — 7 seasons, 1,567 PA	2.4	1,567	10	77	233*	299*	338*	+1	+4	0.6	0.9
#5Milt Cuyler'90-'98 * career totals — 7 seasons, 1,567 PA	/162	664	4	33	233*	299*	338*	+0.6	+1.9	0.3	pk7: 1
#6Rick Bosetti'76-'82 * career totals — 5 seasons, 1,656 PA	2.5	1,656	17	30	243*	286*	358*	+3	+16	0.6	0.6
#6Rick Bosetti'76-'82 * career totals — 5 seasons, 1,656 PA	/162	664	7	12	243*	286*	358*	+1.4	+6.5	0.2	pk7: 1

Browm Martinez

Career Stats + Projections

How the minor-league lines were translated

Career Comps