Curley Martha — OGILVIE

Curley MarthaSS Hickory Crawdads

Age 19 R/R 5'9" / 165 lbs A HR +15%BB +5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION248 act + 23 ros · stats below = ROS only

showingROS

wRC+†46

AVG/OBP/SLG.182 / .217 / .227

PA23

HR0

K%30

BB%4

BABIP253

ISO45

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus

Tools · ContractCON 31 / POW 40

Toolsscout grade

CONTACT31

scouting grade only

POWER40

scouting grade only

EYE49

scouting grade only

SPEED58

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-1	$2M	+0.2	$0.4M	+$0.0M (cut)
2035	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-3	$2M	—	—	—
Totals		$0.0M		$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. 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 Rangers Red	—	248	206	58	11	2	5	28	55	12	19	4	282	398	427	826	146	358	22	11	372	138	+11	+2	—	—	+5	1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Rangers Red	—	248	216	39	7	1	3	18	82	12	19	4	181	280	264	544	83	259	33	7	239	48	-15	+2	—	—	+5	-0.8
2024	17	ROK MLE	DSL Rangers Red	—	248	216	39	7	1	3	18	82	12	19	4	181	280	264	544	83	271	33	7	239	48	—	—	—	—	—	—
2024	17	ROK RAW	DSL Rangers Red	—	248	206	58	11	2	5	28	55	12	19	4	282	398	427	826	146	358	22	11	372	48	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rangers Red	—	248	216	39	7	1	3	18	82	12	19	4	181	280	264	544	83	259	33	7	239	48	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Rangers Red	—	248	216	39	7	1	3	18	82	12	19	4	181	280	264	544	83	259	33	7	239	48	—	—	—	—	—	—
YTD	19	A MLE	TEX	—	248	226	32	4	0	2	14	87	6	10	2	142	211	186	397	44	217	35	6	187	13	-26	+1	+0	+3	+5	-1.7
▸ 2026 season
YTD	19	ROK RAW	TEX	—	64	50	8	2	0	0	11	20	2	5	0	160	333	200	533	40	267	31	17	268	13	—	—	—	—	—	—
YTD	19	A RAW	TEX	—	184	167	32	4	0	3	12	41	4	5	2	192	262	269	532	78	234	22	7	246	13	—	—	—	—	—	—
ROS	19	A MLE	TEX	0%	23	22	4	1	0	0	1	7	0	1	0	182	217	227	445	45	251	30	4	237	46	-1	+0	+0	+0	+0	-0.1
TOT	19	A MLE	TEX	—	271	248	36	5	0	2	15	94	6	11	2	145	212	190	401	44	222	35	6	191	16	-27	+1	+0	+3	+6	-1.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	TEX	34%	325	295	57	10	1	5	21	90	6	7	2	193	261	285	546	92	258	28	6	254	58	-16	+1	+0	+3	+7	-0.5
2028	21	MLB MLE	TEX	48%	428	388	79	14	2	8	29	115	8	10	2	204	273	312	585	108	262	27	7	264	65	-18	+1	+0	+5	+9	-0.3
2029	22	MLB MLE	TEX	54%	500	452	93	17	2	10	35	132	9	11	3	206	276	319	595	113	264	26	7	271	69	-18	+1	+0	+5	+11	-0.1
2030	23	MLB MLE	TEX	57%	546	492	103	18	2	12	39	142	10	13	3	209	281	327	608	118	266	26	7	275	72	-18	+1	+0	+6	+12	0.1
2031	24	MLB MLE	TEX	57%	576	520	109	19	2	13	41	150	10	13	3	210	280	329	609	119	267	26	7	277	73	-18	+1	+0	+6	+12	0.2
2032	25	MLB MLE	TEX	57%	593	535	113	20	2	14	43	154	10	14	3	211	282	335	617	123	267	26	7	278	74	-18	+2	+0	+6	+13	0.3
2033	26	MLB MLE	TEX	56%	601	542	114	20	2	14	43	156	11	14	3	210	282	332	614	122	266	26	7	278	74	-18	+2	+0	+6	+13	0.3
2034	27	MLB MLE	TEX	55%	601	541	114	20	2	14	44	156	11	14	3	211	284	333	616	122	266	26	7	278	75	-18	+2	+0	+6	+13	0.3
2035	28	MLB MLE	TEX	55%	597	537	113	20	2	14	44	156	11	14	3	210	284	333	617	123	266	26	7	278	74	-19	+2	-1	+6	+13	0.2
2036	29	MLB MLE	TEX	58%	587	528	109	19	2	13	44	154	10	13	3	206	280	324	604	117	265	26	7	276	73	-19	+1	-1	+6	+13	0.0
2027	20	MLB CTX	TEX	34%	112	102	20	4	0	2	7	31	2	2	1	196	261	294	555	98	260	28	6	245	58	-6	+0	+0	+1	+2	-0.2
2028	21	MLB CTX	TEX	48%	207	187	39	7	1	4	14	56	4	5	1	209	278	321	599	112	264	27	7	255	65	-9	+1	+0	+2	+4	-0.1
2029	22	MLB CTX	TEX	54%	271	245	51	9	1	6	19	72	5	6	1	208	279	327	605	118	266	27	7	262	69	-10	+1	+0	+3	+6	-0.0
2030	23	MLB CTX	TEX	57%	309	279	58	10	1	7	22	81	5	7	2	208	278	326	604	118	268	26	7	266	72	-10	+1	+0	+3	+7	0.0
2031	24	MLB CTX	TEX	57%	326	294	63	11	1	8	23	85	6	8	2	214	285	340	625	126	269	26	7	268	73	-10	+1	+0	+3	+7	0.1
2032	25	MLB CTX	TEX	57%	335	302	64	11	1	8	24	87	6	8	2	212	283	334	618	123	269	26	7	269	74	-10	+1	+0	+4	+7	0.1
2033	26	MLB CTX	TEX	56%	340	306	65	12	1	8	25	88	6	8	2	212	285	337	621	124	269	26	7	270	74	-10	+1	+0	+4	+7	0.1
2034	27	MLB CTX	TEX	55%	333	300	63	11	1	8	24	86	6	8	2	210	282	333	615	123	268	26	7	270	75	-10	+1	+0	+4	+7	0.2
2035	28	MLB CTX	TEX	55%	328	295	63	11	1	8	24	86	6	7	2	214	286	339	625	125	268	26	7	269	74	-10	+1	-0	+4	+7	0.1
2036	29	MLB CTX	TEX	58%	341	307	64	11	1	8	25	90	6	8	2	208	281	329	610	121	267	26	7	267	73	-11	+1	-1	+4	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2902	2617	550	97	9	67	207	762	52	67	17	210	281	331	612	121	268	26	7	266	70	-97	+7	-1	+31	+63	0.3
/ 162G	—	A+C		—	650	586	123	22	2	15	46	171	12	15	4	210	281	331	612	121	267	26	7	266	70	-22	+1	-0	+7	+14	0.1
Career	—	MLE		—	5625	5068	1047	185	20	120	402	1494	108	143	32	207	279	322	601	115	266	27	7	272	70	-182	+14	-2	+58	+117	0.4
/ 162G	—	MLE		—	650	586	120	21	2	14	46	173	12	17	4	205	276	319	595	114	264	27	7	272	70	-22	+2	-0	+7	+14	0.0

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
#2Ronny 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
#3Yolmer 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
#4J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.7	3,144	67	72	210	277	327	+34	+18	2.4	2.3
/162	664	14	15	+7.1	+3.8	0.5	pk7: 2
#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
Curley Martha (OGILVIE)	19	26→31	35→40	53→58	49	183/248/262	79	251	3	7	29%	6%	46	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Janelfry Zorrilla 2010 · A	19	38	38→45	51→50	38	189/234/265	77	255	6	13	28%	4%	40	-3.0	216/275/340	124	268	12	12	23%	6%	74	-0.6	220/275/339	119	277	13	9	24%	5%	72	-0.3
✕Gilbert Gomez 2011 · A	19	40→37	37→40	54→50	44	191/258/270	80	263	4	18	28%	7%	51	-2.2	202/266/283	81	296	5	9	31%	7%	57	-1.8	194/265/261	67	295	4	7	33%	8%	48	-1.4
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Victor Tademo 2018 · A	19	39	37→40	52→55	37	189/240/263	74	277	4	14	32%	5%	42	-2.9	195/241/256	61	285	3	7	31%	5%	40	-3.0	181/217/201	20	252	0	3	27%	4%	17	-1.4
✕Ricardo Rosario 2022 · A	19	41	37→40	53→55	43	195/256/271	76	260	4	13	25%	6%	50	-2.3	197/266/280	83	273	6	17	28%	7%	56	-1.9	189/268/272	83	254	9	24	27%	8%	54	-0.8
✕Wendell Rijo 2015 · A	19	42→43	41→50	51→50	44	205/270/309	104	282	7	12	28%	7%	64	-1.3	200/251/288	88	282	6	11	30%	6%	52	-2.2	208/265/349	141	264	16	14	28%	6%	69	-0.6
✕Jesus Galiz 2023 · A	19	38	42→45	49→40	40	191/253/297	106	266	9	5	31%	6%	55	-1.9	201/259/305	104	303	9	3	35%	6%	59	-1.6	191/250/291	100	290	9	2	35%	5%	52	-1.1
✕Cristian Inoa 2018 · A	19	44	39→45	51→45	46	211/281/297	86	269	5	12	23%	7%	65	-1.2	207/279/289	82	278	4	8	25%	8%	63	-1.3	224/277/344	119	274	12	5	22%	5%	73	-0.4
✕Jose Colmenares 2021 · A	19	39	39→45	47→50	45	192/256/277	84	251	7	8	26%	7%	52	-2.2	210/290/338	128	295	14	8	31%	9%	79	-0.2	177/254/299	122	259	13	14	35%	8%	55	-0.8
✕Mariel Bautista 2017 · A	19	46→36	39→45	51→50	42	220/276/309	90	284	5	10	24%	5%	66	-1.1	221/267/313	92	280	7	16	23%	4%	63	-1.3	197/244/304	107	254	12	16	27%	4%	52	-1.0
✕Robedluis Fuentes 2008 · A	19	41	37→30	53→45	45	197/263/267	70	262	4	12	25%	7%	53	-2.1	230/290/284	54	281	3	7	18%	6%	65	-1.2	243/302/283	40	290	2	5	16%	6%	68	-0.4
✕Zack Larson 2014 · A	20	46→36	41→45	53→50	41	222/281/319	97	293	8	13	26%	6%	71	-0.8	201/256/267	66	276	3	10	27%	6%	49	-2.4	183/239/232	49	254	1	10	26%	5%	34	-1.9
✕Angel Aponte 2019 · A	19	41	41→45	56→55	40	203/267/304	101	272	9	20	28%	6%	63	-1.4	209/267/303	94	296	7	19	30%	6%	61	-1.5	204/264/295	91	289	8	25	30%	6%	57	-0.7
✕Misael Urbina 2022 · A	20	36→30	39→45	51→50	48	178/255/268	89	228	6	13	24%	8%	50	-2.3	175/249/266	91	260	6	10	32%	8%	47	-2.5	158/245/237	79	236	5	8	32%	9%	37	-1.9
✕Rafael Morel 2022 · A	20	38	40	51→50	39	187/249/281	94	269	8	13	32%	6%	51	-2.3	196/261/274	78	315	7	10	37%	7%	53	-2.1	188/258/263	75	295	9	10	37%	7%	47	-1.2
✕Angel Jimenez 2014 · A	19	40	41→40	49→50	48	198/275/295	97	255	9	11	25%	8%	63	-1.3	203/270/294	91	264	7	11	24%	7%	61	-1.5	192/259/278	87	246	7	13	24%	6%	51	-0.9
✕Johan Mieses 2015 · A	20	43→33	42→55	60→50	42	208/261/317	109	274	8	22	26%	6%	62	-1.4	194/241/346	152	272	18	8	35%	5%	63	-1.4	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Anthony Pereira 2016 · A	19	39→40	40	52→50	44	192/248/284	92	240	8	15	23%	6%	51	-2.3	191/241/277	86	251	7	8	26%	6%	46	-2.6	174/224/255	81	235	6	5	28%	6%	32	-2.7
✕Jason Lopez 2017 · A	19	40	38→50	49→45	43	195/258/270	75	266	5	11	28%	7%	51	-2.3	202/252/306	104	278	9	7	29%	5%	57	-1.8	161/223/251	90	239	8	7	35%	7%	32	-1.1
✕Yordalin Peña 2023 · A	18	41→38	40→55	56→55	37	198/247/291	93	281	6	10	31%	5%	51	-2.2	189/248/281	92	276	6	12	32%	6%	49	-2.4	184/245/315	131	287	12	17	38%	6%	55	-1.1

Career Stats + Projections

Career Comps

Career Path Comps