Larry Martinez

3B Charleston RiverDogs

Age 21 R/R 5'11" / 170 lbs A HR -6%H +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	ATB	332	.248/.299/.280	0	4	42	—	.221/.266/.253
2026	20	A+TB	74	.206/.229/.279	1	0	8	—	.191/.214/.265
2026	20	ATB	99	.323/.343/.438	2	1	73	—	.258/.273/.330
2027PROJ0% MLB	21	MLBTB	283	.220/.250/.291	2	4	50	-0.4
2028PROJ34% MLB	22	MLBTB	85	.227/.260/.313	1	1	59	-0.2
2029PROJ48% MLB	23	MLBTB	169	.232/.267/.328	2	2	65	-0.3

Next 3 projected WAR -0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Ext$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

K%36

Whiff%32

Z-Con%23

ISO14

Speed5

wRC+4

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 94%

CompsHumberto Arteaga (age 21) · Fidel Hernandez (age 21) · Yeltsin Gudino (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 162 proj PA

wRC+†50

AVG/OBP/SLG.218 / .248 / .289

PA162

HR1

K%22

BB%3

ISO72

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 45 / POW 20

Toolsscout grade

CONTACT45

scouting grade only

POWER20

scouting grade only

EYE20

scouting grade only

SPEED40

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
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	Pre-Arb	$0.9M	—	—	—
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		$-0.8M	+$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 = actual YTD + projected ROS + total. 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)
2022	16	ROK	DSL Tampa Bay	—	85	74	18	3	0	0	9	11	2	1	1	243	341	284	625	41	286	13	11	296	29	—	—	—	—	—	—
2023	17	ROK	DSL Rays	—	49	46	17	4	0	0	2	5	0	2	1	370	396	457	852	87	405	10	4	373	54	—	—	—	—	—	—
2024	18	ROK	FCL Rays	—	176	149	44	7	2	0	16	10	10	3	1	295	400	369	769	74	314	6	9	355	70	—	—	—	—	—	—
2025	19	A	Charleston RiverDogs	—	332	307	76	10	0	0	16	49	7	4	0	248	299	280	579	33	293	15	5	268	42	—	—	—	—	—	—
2026	20	A+	Bowling Green Hot Rods	—	74	68	14	2	0	1	1	20	1	0	0	206	229	279	508	74	271	27	1	217	8	—	—	—	—	—	—
2026	20	A	Charleston RiverDogs	—	99	96	31	5	0	2	2	20	1	1	0	323	343	438	781	115	392	20	2	348	73	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	16	ROK MLE	DSL Tampa Bay	—	85	76	13	2	0	0	7	14	2	1	1	171	259	197	456	26	209	16	8	211	29	—	—	—	—	—	—
2023	17	ROK MLE	DSL Rays	—	49	47	11	2	0	0	1	6	0	2	1	234	250	277	527	43	269	12	2	248	54	—	—	—	—	—	—
2024	18	ROK MLE	FCL Rays	—	176	155	37	6	1	0	10	15	10	3	1	239	326	290	616	52	255	9	6	272	70	—	—	—	—	—	—
2025	19	A MLE	Charleston RiverDogs	—	332	312	69	10	0	0	12	66	7	4	0	221	266	253	519	32	275	20	4	230	42	—	—	—	—	—	—
2026	20	A+ MLE	Bowling Green Hot Rods	—	74	68	13	2	0	1	1	26	1	0	0	191	214	265	479	74	240	35	1	180	8	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	99	97	25	4	0	1	1	27	1	1	0	258	273	330	603	72	357	27	1	276	73	—	—	—	—	—	—
2022	16	ROK MLE	DSL Tampa Bay	—	85	76	13	2	0	0	7	14	2	1	1	171	259	197	456	26	210	16	8	211	29	—	—	—	—	—	—
2022	16	ROK RAW	DSL Tampa Bay	—	85	74	18	3	0	0	9	11	2	1	1	243	341	284	625	41	286	13	11	296	29	—	—	—	—	—	—
2023	17	ROK MLE	DSL Rays	—	49	47	11	2	0	0	1	6	0	2	1	234	250	277	527	43	262	12	2	248	54	—	—	—	—	—	—
2023	17	ROK RAW	DSL Rays	—	49	46	17	4	0	0	2	5	0	2	1	370	396	457	852	87	405	10	4	373	54	—	—	—	—	—	—
2024	18	ROK MLE	FCL Rays	—	176	155	37	6	1	0	10	15	10	3	1	239	326	290	616	52	262	9	6	272	70	—	—	—	—	—	—
2024	18	ROK RAW	FCL Rays	—	176	149	44	7	2	0	16	10	10	3	1	295	400	369	769	74	314	6	9	355	70	—	—	—	—	—	—
2025	19	A MLE	Charleston RiverDogs	—	332	312	69	10	0	0	12	66	7	4	0	221	266	253	519	32	279	20	4	230	42	—	—	—	—	—	—
2025	19	A RAW	Charleston RiverDogs	—	332	307	76	10	0	0	16	49	7	4	0	248	299	280	579	33	293	15	5	268	42	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	173	165	37	5	0	2	2	53	2	1	0	224	243	291	534	67	315	31	1	235	45	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	173	164	45	7	0	3	3	40	2	1	0	274	296	372	668	98	344	23	2	292	45	—	—	—	—	—	—
2022	16	ROK MLE	DSL Tampa Bay	—	85	76	13	2	0	0	7	14	2	1	1	171	259	197	456	26	209	16	8	211	29	—	—	—	—	—	—
2023	17	ROK MLE	DSL Rays	—	49	48	11	2	0	0	1	6	0	2	1	229	250	271	521	42	269	12	2	248	54	—	—	—	—	—	—
2024	18	ROK MLE	FCL Rays	—	176	154	37	6	1	0	10	15	10	3	1	240	326	292	618	52	255	9	6	272	70	—	—	—	—	—	—
2025	19	A MLE	Charleston RiverDogs	—	332	310	69	10	0	0	12	66	7	4	0	223	266	255	521	32	275	20	4	230	42	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	173	167	37	5	0	2	2	53	2	1	0	222	243	287	530	66	307	31	1	235	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	FCL Rays	—	176	154	37	6	1	0	10	15	10	3	1	240	326	292	618	52	255	9	6	272	70	—	—	—	—	—	—
2025	19	A MLE	Charleston RiverDogs	—	332	310	69	10	0	0	12	66	7	4	0	223	266	255	521	32	275	20	4	230	42	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	173	167	37	5	0	2	2	53	2	1	0	222	243	287	530	66	307	31	1	235	45	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	TB	0%	283	270	60	12	1	2	7	61	4	4	1	220	250	291	541	72	275	22	2	243	50	-17	+0	+0	+1	+6	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	TB	34%	246	234	53	10	1	3	7	52	3	4	1	225	258	312	570	87	276	21	3	255	59	-12	+0	+0	+1	+5	-0.6
2029	23	MLB MLE	TB	48%	348	329	75	14	1	5	12	73	4	5	1	229	265	327	592	98	278	21	3	264	65	-14	+1	+0	+1	+8	-0.5
2030	24	MLB MLE	TB	53%	418	395	91	17	2	7	15	87	5	6	1	232	270	338	609	106	279	21	4	271	70	-15	+1	+0	+1	+9	-0.4
2031	25	MLB MLE	TB	55%	457	430	100	19	2	8	18	96	6	6	1	234	274	345	619	111	280	21	4	276	73	-15	+1	+0	+2	+10	-0.3
2032	26	MLB MLE	TB	56%	480	451	105	20	2	9	20	101	6	6	1	234	276	349	625	114	280	21	4	278	74	-15	+1	+0	+2	+10	-0.2
2033	27	MLB MLE	TB	55%	489	459	107	20	2	9	21	103	6	6	2	233	275	346	621	113	280	21	4	277	73	-15	+0	+0	+2	+11	-0.3
2028	22	MLB CTX	TB	34%	85	81	18	3	0	1	3	18	1	1	0	227	260	313	573	85	279	21	4	256	59	-4	+0	+0	+0	+2	-0.2
2029	23	MLB CTX	TB	48%	169	159	37	7	1	2	6	36	2	2	1	232	267	328	595	96	281	21	4	266	65	-7	+0	+0	+1	+4	-0.3
2030	24	MLB CTX	TB	53%	220	207	49	9	1	4	8	46	3	3	1	235	272	339	611	104	283	21	4	272	70	-8	+0	+0	+1	+5	-0.2
2031	25	MLB CTX	TB	55%	250	235	55	10	1	4	10	52	3	3	1	236	276	345	621	109	283	21	4	277	73	-8	+0	+0	+1	+5	-0.2
2032	26	MLB CTX	TB	56%	267	251	59	11	1	5	11	56	3	3	1	236	278	349	627	112	283	21	4	279	74	-8	+0	+0	+1	+6	-0.1
2033	27	MLB CTX	TB	55%	269	253	59	11	1	5	11	57	3	3	1	235	277	346	623	111	283	21	4	278	73	-9	+0	+0	+1	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1260	1186	277	51	5	21	49	265	15	15	5	234	273	338	611	105	283	21	4	274	64	-44	+1	+0	+4	+27	-1.1
/ 162G	—	A+C		—	650	612	143	26	3	11	25	137	8	8	3	234	273	340	613	106	283	21	4	274	64	-23	+1	+0	+2	+14	-0.6
Career	—	MLE		—	3415	3208	733	132	12	44	129	701	53	46	11	228	270	318	588	90	278	21	4	263	64	-96	+4	+0	+9	+56	-2.7
/ 162G	—	MLE		—	650	611	139	25	2	8	25	133	10	9	2	227	270	314	584	87	277	20	4	263	64	-24	+1	+0	+2	+14	-0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ryan 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
#2Bobby Lowe'01-'07 * career totals — 6 seasons, 2,085 PA	3.1	2,085	4	65	229*	274*	350*	+6	+6	0.1	0.1
/162	664	1	21	+2.0	+1.8	0.0	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.1	1,422	23	19	232	267	336	+5	+2	-0.6	-0.3
/162	664	11	9	+2.4	+0.9	-0.3	pk7: 0
#3Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#4Alexi 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
#5Enrique Wilson'97-'05 * career totals — 7 seasons, 1,537 PA	2.3	1,537	22	14	233*	276*	337*	+8	+1	-2.5	-1.4
/162	664	10	6	+3.4	+0.4	-1.1	pk7: -0
#6Frank Ellerbe'19-'24 * career totals — 6 seasons, 1,622 PA	2.4	1,622	4	12	236*	279*	356*	+7	-2	-1.9	-1.9
/162	664	2	5	+2.9	-0.9	-0.8	pk7: -2

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
Larry Martinez (OGILVIE)	21	45	20	40	20	218/248/289	71	275	1	2	22%	3%	50	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Humberto Arteaga 2015 · A	21	40→50	35→40	42→50	36	194/223/252	58	257	3	6	25%	3%	32	-3.7	214/239/268	54	276	3	9	22%	3%	41	-3.0	238/269/295	58	287	4	7	18%	4%	57	-1.4
✕Fidel Hernandez 2007 · A	21	48→52	34→30	44→50	39	225/245/272	47	272	2	10	18%	2%	45	-2.7	235/261/287	52	274	2	11	14%	3%	54	-2.0	242/268/283	42	274	2	11	12%	3%	53	-1.2
✕Yeltsin Gudino 2018 · A	21	46→49	36→30	42→40	44	217/269/276	60	269	3	4	20%	5%	56	-1.9	229/280/279	50	281	2	5	18%	6%	60	-1.6	232/283/261	29	281	1	5	17%	6%	56	-1.0
✕Luis De La Cruz 2010 · A	21	41	38→30	47→30	41	200/236/278	78	248	5	6	22%	4%	43	-2.8	222/254/314	92	278	5	6	21%	4%	58	-1.7	247/269/327	80	297	3	3	18%	3%	63	-0.4
✕Claudio Finol 2021 · A	21	43	37→30	43→45	41	206/253/279	74	271	4	5	25%	5%	51	-2.3	193/250/276	83	271	6	8	29%	6%	49	-2.4	183/252/261	78	263	7	10	31%	7%	45	-0.6
✕Ali Sánchez 2018 · A	21	46	35→45	42→40	43	218/261/273	55	266	4	6	19%	5%	51	-2.2	229/267/310	81	276	6	4	18%	5%	63	-1.4	247/298/343	95	318	11	1	25%	7%	79	-0.1
✕Gersel Pitre 2017 · A	21	46	36→40	44→50	42	216/255/277	62	269	3	5	21%	4%	50	-2.3	232/257/292	60	304	2	7	23%	3%	53	-2.1	249/266/304	55	326	1	8	23%	2%	57	-0.7
✕Dawel Lugo 2016 · A	21	48→55	37→45	41→45	37	228/255/299	71	289	5	4	23%	3%	55	-2.0	249/275/354	105	291	9	5	18%	3%	76	-0.4	257/284/364	107	302	8	6	17%	3%	79	-0.2
✕Adrián Sanchez 2012 · A	21	48	37→45	47→50	38	230/255/304	74	272	4	12	18%	2%	56	-1.9	220/248/284	64	272	3	14	20%	3%	49	-2.4	245/278/342	97	288	7	15	17%	4%	72	-0.3
✕Ivan Bellazetin 2008 · AAA	21	47→55	35→40	42→55	42	222/256/282	59	267	3	10	18%	4%	51	-2.2	243/280/314	71	296	3	15	18%	4%	68	-1.0	267/303/330	63	324	1	19	17%	4%	76	-0.2
✕René García 2011 · A	21	47	36→40	47→40	42	224/255/289	65	261	4	6	16%	4%	53	-2.1	231/262/293	62	275	3	5	17%	4%	56	-1.9	275/294/326	51	309	3	2	12%	2%	72	-0.2
✕Jose Garcia 2009 · A	21	41→51	36→40	42→55	46	191/250/255	64	240	3	8	21%	6%	45	-2.7	236/280/308	72	292	4	18	20%	5%	67	-1.1	253/296/322	69	311	5	22	19%	5%	73	-0.5
✕Kenneth Betancourt 2022 · A	22	40→50	35→30	44→50	38	193/232/253	60	274	3	8	30%	5%	36	-3.4	236/279/307	71	306	4	9	23%	5%	66	-1.1	248/290/313	65	315	4	10	21%	5%	69	-0.6
✕Jesus Alastre 2017 · A	20	47	35→30	44→50	43	217/274/277	60	266	2	9	19%	4%	58	-1.7	226/271/301	75	311	4	8	27%	4%	62	-1.4	253/286/338	85	353	4	9	28%	2%	72	-0.2
✕Jacob Gonzalez 2019 · A	21	44→50	39→40	43→40	38	211/261/296	86	279	7	5	26%	4%	58	-1.7	201/252/294	93	256	9	3	24%	5%	54	-2.0	211/261/303	93	254	11	1	21%	4%	59	-1.0
✕Juan Richardson 2009 · A	22	45	35→30	44→50	44	212/255/267	55	258	2	10	18%	5%	48	-2.5	212/255/272	60	262	3	7	19%	5%	49	-2.4	212/239/226	14	246	0	0	13%	3%	29	-0.8
✕Hector Martinez 2018 · A	21	46	36→40	43→45	37	219/263/287	68	301	3	9	28%	4%	55	-1.9	216/254/330	114	325	10	8	35%	4%	63	-1.4	245/259/406	162	376	11	13	37%	1%	77	-0.1
✕Omar Luna 2008 · A	21	46→56	38→30	48→50	40	221/256/301	80	278	4	10	22%	4%	56	-1.9	212/238/271	59	264	2	11	20%	3%	41	-3.0	259/290/315	56	300	2	12	14%	3%	68	-0.6
✕Miguel Briceno 2024 · A	21	45	35→40	47→50	44	211/257/276	65	270	2	8	22%	6%	51	-2.3	217/261/291	74	273	5	12	21%	6%	56	-1.9	212/258/283	71	262	6	12	21%	6%	51	-0.9
✕Joantgel Segovia 2018 · A	21	45→52	33→30	44→50	42	213/249/252	39	262	2	8	19%	4%	42	-2.9	225/267/291	66	283	5	10	21%	5%	58	-1.7	230/275/297	67	289	5	11	21%	5%	60	-1.3

Larry Martinez

Career Stats + Projections

Career Comps

Career Path Comps