Curley Martha

SS Hickory Crawdads

Age 20 R/R 5'9" / 165 lbs A HR +15%BB +5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#2228ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Rangers R…	248	.282/.398/.427	5	19	37	—	.159/.268/.224
2026	19	A/ROKTEX	248	.184/.280/.253	3	10	15	—	.141/.215/.185
2027PROJMLE	20	MLBTEX	358	.201/.263/.290	4	7	57	-0.2
2028PROJ34% MLB	21	MLBTEX	68	.207/.271/.309	1	1	63	-0.1
2029PROJ48% MLB	22	MLBTEX	148	.212/.276/.321	3	3	68	-0.1

Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

K%60

Speed43

Whiff%36

Z-Con%35

ISO20

Chase%15

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 95%

CompsIsmael Alcantara (age 20) · Sammy Hernandez (age 20) · Pablo Aliendo (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 146 proj PA

wRC+†57

AVG/OBP/SLG.200 / .261 / .288

PA146

HR2

K%26

BB%6

ISO89

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 31 / POW 39

Toolsscout grade

CONTACT31

scouting grade only

POWER39

scouting grade only

EYE48

scouting grade only

SPEED55

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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$0.8M	—	—	—
2036	Arb-2	$0.4M	—	—	—
2037	Arb-3	$0.6M	—	—	—
Totals		$0.9M		$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. 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 Rangers Red	—	248	206	58	11	2	5	28	55	12	19	4	282	398	427	826	146	358	22	11	372	37	—	—	—	—	—	—
2026	19	A	Hickory Crawdads	—	184	167	32	4	0	3	12	41	4	5	2	192	262	269	532	78	234	22	7	246	18	—	—	—	—	—	—
2026	19	ROK	ACL Rangers	—	64	50	8	2	0	0	11	20	2	5	0	160	333	200	533	40	267	31	17	268	5	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Rangers Red	—	248	214	34	6	1	2	20	69	12	19	4	159	268	224	493	65	215	28	8	223	37	—	—	—	—	—	—
2026	19	A MLE	Hickory Crawdads	—	184	171	27	3	0	2	8	56	4	5	2	158	213	211	424	53	215	30	4	195	18	—	—	—	—	—	—
2026	19	ROK MLE	ACL Rangers	—	64	54	5	1	0	0	7	29	2	5	0	93	222	111	333	19	211	45	11	175	5	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rangers Red	—	248	214	34	6	1	2	20	69	12	19	4	159	268	224	493	65	221	28	8	223	37	—	—	—	—	—	—
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	37	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	248	225	32	4	0	2	15	85	6	10	2	142	215	187	402	44	216	34	6	190	15	—	—	—	—	—	—
2026	19	A RAW	2 teams	—	248	217	40	6	0	3	23	61	6	10	2	184	280	253	534	69	240	25	9	252	15	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rangers Red	—	248	214	34	6	1	2	20	69	12	19	4	159	268	224	493	65	215	28	8	223	37	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	248	225	32	4	0	2	15	85	6	10	2	142	215	187	402	44	214	34	6	190	15	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Rangers Red	—	248	214	34	6	1	2	20	69	12	19	4	159	268	224	493	65	215	28	8	223	37	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	248	225	32	4	0	2	15	85	6	10	2	142	215	187	402	44	214	34	6	190	15	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TEX	0%	358	328	66	12	2	4	22	94	5	7	2	201	263	290	554	89	265	26	6	252	57	-18	+1	+0	+4	+8	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TEX	34%	199	181	38	7	1	3	13	51	3	4	1	207	270	306	576	99	267	26	7	261	63	-9	+0	+0	+2	+4	-0.2
2029	22	MLB MLE	TEX	48%	306	279	59	11	2	5	20	77	4	7	2	211	275	318	593	107	269	25	7	268	68	-12	+1	+0	+3	+7	-0.1
2030	23	MLB MLE	TEX	54%	387	352	76	14	2	7	26	97	6	8	2	214	279	327	606	113	271	25	7	274	71	-13	+1	+0	+4	+8	0.0
2031	24	MLB MLE	TEX	55%	438	399	87	16	2	9	30	108	6	10	2	217	283	334	616	117	273	25	7	278	74	-13	+1	+0	+5	+9	0.2
2032	25	MLB MLE	TEX	56%	466	424	93	17	2	10	33	115	6	10	3	219	285	338	623	119	274	25	7	281	76	-13	+1	+0	+5	+10	0.3
2033	26	MLB MLE	TEX	56%	480	436	96	17	3	10	34	118	7	10	3	218	285	338	623	119	274	25	7	280	76	-14	+1	+0	+5	+10	0.3
2034	27	MLB MLE	TEX	60%	483	439	95	17	2	10	34	120	7	10	3	217	284	335	619	118	273	25	7	279	75	-14	+1	+0	+5	+10	0.2
2035	28	MLB MLE	TEX	62%	481	438	93	17	2	9	34	120	6	9	3	216	282	331	613	115	273	25	7	276	73	-15	+1	-1	+5	+10	0.0
2036	29	MLB MLE	TEX	63%	470	428	91	16	2	9	33	119	6	8	3	214	279	325	604	111	271	25	7	273	71	-16	+0	-1	+5	+10	-0.2
2037	30	MLB MLE	TEX	63%	459	418	88	16	2	8	32	117	6	8	3	211	276	318	594	107	270	25	7	269	68	-18	+0	-2	+5	+10	-0.4
2028	21	MLB CTX	TEX	34%	68	63	12	2	0	1	4	17	1	1	0	207	271	309	580	102	267	25	6	263	63	-3	+0	+0	+1	+1	-0.1
2029	22	MLB CTX	TEX	48%	148	135	29	5	1	3	10	37	2	3	1	212	276	321	598	110	269	25	7	270	68	-6	+0	+0	+2	+3	-0.1
2030	23	MLB CTX	TEX	54%	210	191	41	7	1	4	14	52	3	5	1	215	280	331	611	116	271	25	7	275	71	-7	+1	+0	+2	+5	0.0
2031	24	MLB CTX	TEX	55%	243	221	47	8	1	5	17	60	3	5	1	218	284	338	621	120	273	25	7	280	74	-7	+1	+0	+3	+5	0.1
2032	25	MLB CTX	TEX	56%	261	237	52	9	1	6	18	64	4	6	1	220	286	343	628	123	274	25	7	283	76	-7	+1	+0	+3	+6	0.2
2033	26	MLB CTX	TEX	56%	270	245	53	9	1	6	19	66	4	6	2	219	286	342	628	123	273	24	7	282	76	-8	+0	+0	+3	+6	0.1
2034	27	MLB CTX	TEX	60%	288	262	56	10	1	6	20	71	4	6	2	218	285	340	624	121	273	25	7	281	75	-9	+0	+0	+3	+6	0.1
2035	28	MLB CTX	TEX	62%	297	270	58	10	1	6	21	74	4	6	2	217	283	335	618	118	272	25	7	278	73	-9	+0	-0	+3	+6	0.0
2036	29	MLB CTX	TEX	63%	295	268	57	10	1	6	21	75	4	5	2	214	280	329	609	115	271	25	7	275	71	-10	+0	-1	+3	+6	-0.1
2037	30	MLB CTX	TEX	63%	291	265	56	10	1	6	20	74	4	5	2	212	277	321	598	110	269	25	7	270	68	-11	+0	-1	+3	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2371	2157	461	80	9	49	164	590	33	48	14	214	280	327	607	114	270	25	7	277	67	-78	+4	-3	+25	+51	0.0
/ 162G	—	A+C		—	650	591	126	22	2	13	45	162	9	13	4	213	279	323	602	110	270	25	7	277	67	-21	+1	-1	+7	+14	0.0
Career	—	MLE		—	4811	4367	909	163	22	86	333	1234	77	116	32	208	276	315	591	106	268	26	7	267	67	-145	+7	-4	+46	+93	-0.3
/ 162G	—	MLE		—	650	590	123	22	3	12	45	167	10	16	4	208	276	317	592	108	268	26	7	267	67	-22	+1	-1	+7	+14	-0.0

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 AHickory Crawdads · 184 PAwOBA .241 → .195 (−46)K% 22.3% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.28%	÷1.000	×1.360	—	—	30.30%
BB% (unintentional) /PA	6.52%	÷1.000	×0.690	—	×1.030	4.63%
HBP% /PA	2.17%	—	×0.780	—	×1.030	1.75%
Singles /BIP	19.84%	÷1.000	×0.920	×0.990	×1.030	18.62%
Doubles /BIP	3.17%	÷1.000	×0.830	×0.990	×1.030	2.69%
Triples /BIP	0.00%	÷1.000	×0.910	×0.990	×1.030	0.00%
Home runs /BIP	2.38%	÷1.000	×0.800	—	×1.030	1.96%

Factors used: level-wide A 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 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .241 → .195; ISO .078 → .060; BABIP .234 → .215. 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).

2026 ROKACL Rangers · 64 PAwOBA .263 → .175 (−88)K% 31.2% → 45.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.25%	÷1.000	×1.440	—	—	45.00%
BB% (unintentional) /PA	17.19%	÷1.000	×0.620	—	×0.995	10.60%
HBP% /PA	3.12%	—	×0.720	—	×0.995	2.24%
Singles /BIP	20.00%	÷1.000	×0.820	—	×0.995	16.32%
Doubles /BIP	6.67%	÷1.000	×0.720	—	×0.995	4.78%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.995	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.995	0.00%

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).

Result: wOBA .263 → .175; ISO .040 → .026; BABIP .267 → .211. 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 Rangers Red · 248 PAwOBA .366 → .223 (−143)K% 22.2% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.18%	÷0.969	×1.220	—	—	27.94%
BB% (unintentional) /PA	11.29%	÷0.976	×0.700	—	×1.008	8.16%
HBP% /PA	4.84%	—	×0.700	—	×1.008	3.41%
Singles /BIP	26.49%	÷1.025	×0.680	×0.951	×1.008	16.83%
Doubles /BIP	7.28%	÷1.032	×0.600	×0.951	×1.008	4.06%
Triples /BIP	1.32%	÷1.150	×0.600	×0.951	×1.008	0.66%
Home runs /BIP	3.31%	÷1.333	×0.470	—	×1.008	1.18%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 167, 1B 105, 2B 106, 3B 130, K 94, BB 95 — 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 ×0.951.

Result: wOBA .366 → .223; ISO .146 → .065; BABIP .358 → .215. 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
#1Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#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
#3Mike Tyson'72-'81 * career totals — 9 seasons, 3,200 PA	4.8	3,200	27	23	236*	281*	354*	+20	+24	1.9	3.3
/162	664	6	5	+4.1	+4.9	0.4	pk7: 5
#4Ryan 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 7 projected seasons	3.8	2,517	48	51	215	278	328	+27	+21	1.6	1.7
/162	664	13	13	+7.1	+5.5	0.4	pk7: 2
#5Benji Gil'93-'03 * career totals — 7 seasons, 1,767 PA	2.7	1,767	32	24	227*	272*	349*	+10	+30	0.6	1.0
/162	664	12	9	+3.8	+11.3	0.2	pk7: 1
#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)	20	26→31	34→39	50→55	48	200/261/288	88	265	2	3	26%	6%	57	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ismael Alcantara 2019 · A	20	36→30	38→45	50	43	177/250/254	77	257	5	13	32%	7%	45	-2.7	207/272/309	102	322	8	15	36%	7%	65	-1.2	191/253/307	116	283	12	16	35%	6%	55	-0.9
✕Sammy Hernandez 2024 · A	20	37	43→40	51→50	40	188/254/301	113	262	11	5	31%	6%	57	-1.8	203/291/298	95	270	8	9	26%	9%	71	-0.8	201/300/298	97	262	9	13	24%	10%	72	-0.4
✕Pablo Aliendo 2021 · A	20	38	36→50	50→45	44	181/261/246	65	268	3	13	31%	8%	47	-2.5	202/271/300	98	303	9	5	34%	6%	63	-1.3	206/275/350	144	296	17	5	34%	7%	73	-0.3
✕Rafael Morel 2022 · A	20	36	39→40	51→50	40	181/244/269	88	257	7	13	31%	6%	46	-2.6	196/262/273	77	311	7	10	36%	7%	53	-2.1	190/263/263	73	291	8	10	35%	7%	49	-1.2
✕Emilio King 2010 · A	20	39	37→45	50→40	43	185/269/261	75	247	3	9	25%	6%	55	-2.0	201/250/286	85	299	6	4	33%	4%	51	-2.2	211/248/304	94	307	7	2	33%	3%	51	-1.1
✕Gilbert Gomez 2012 · A	20	40→39	40	52→50	42	194/257/287	92	271	7	14	30%	6%	55	-2.0	204/277/282	78	309	4	8	32%	9%	61	-1.5	194/278/266	72	301	3	7	33%	10%	55	-1.3
✕Gilberto Vizcarra 2019 · A	20	34	37→45	47→40	47	164/238/229	66	203	5	3	22%	7%	35	-3.4	205/261/282	77	259	5	4	22%	6%	55	-2.0	227/269/318	92	274	7	1	19%	4%	65	-0.4
✕Christian Cerda 2023 · A	20	40	39→45	50→40	53	189/279/278	88	244	6	9	23%	10%	61	-1.5	198/297/302	104	263	10	4	26%	12%	74	-0.5	187/288/292	105	240	12	2	26%	12%	67	-0.7
✕Jose Meza 2023 · A	20	37→42	39→40	48→50	44	183/255/263	80	245	6	10	27%	7%	49	-2.4	199/291/294	95	292	8	8	32%	10%	70	-0.8	186/290/280	94	280	9	10	33%	11%	66	-0.7
✕Jason Lopez 2018 · A	20	39	37→50	47→45	46	188/260/261	73	250	5	9	26%	8%	50	-2.3	207/250/323	116	289	11	6	31%	5%	60	-1.6	192/240/305	113	271	11	8	32%	6%	50	-1.0
✕Juan Mora 2021 · A	21	40	39→45	53→55	52	192/277/280	88	229	6	14	19%	8%	61	-1.5	221/287/329	108	296	9	10	27%	6%	75	-0.5	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Danny De Andrade 2024 · A	20	41	42→45	51→50	45	201/277/305	104	269	9	11	28%	8%	67	-1.1	201/270/315	114	278	10	11	30%	7%	66	-1.1	190/254/309	120	266	11	10	31%	6%	56	-1.1
✕Frankeny Fernandez 2017 · A	20	36	38→40	53→60	42	174/249/256	81	276	5	19	36%	8%	45	-2.7	192/257/267	75	279	5	10	31%	7%	50	-2.3	170/235/212	43	235	3	6	27%	7%	28	-1.2
✕Misael Urbina 2022 · A	20	37→32	39→40	51→50	49	180/260/269	89	230	6	13	24%	8%	53	-2.1	179/254/271	92	260	6	10	31%	8%	50	-2.3	166/253/247	81	240	5	8	30%	10%	42	-1.7
✕Neyfy Castillo 2021 · A	20	39→33	37→45	54→55	39	187/245/260	73	279	3	11	32%	6%	43	-2.8	186/260/317	131	336	16	16	46%	8%	63	-1.3	173/250/304	131	303	16	19	45%	8%	53	-1.4
✕Jose Cordoba 2023 · A	20	37	41→40	44→55	40	185/250/278	93	262	9	9	32%	6%	50	-2.3	205/259/296	91	278	6	11	27%	6%	57	-1.8	203/257/294	91	267	4	15	24%	5%	53	-0.9
✕Chris Suero 2024 · A	20	41→38	41→45	50→55	50	196/295/291	95	281	8	8	31%	10%	71	-0.8	193/290/309	116	280	12	20	33%	10%	74	-0.6	181/287/307	126	264	14	27	34%	10%	70	-0.7
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	75	292	5	11	30%	6%	53	-2.1	193/262/269	76	307	6	15	36%	7%	53	-2.1	189/270/268	79	286	5	32	33%	8%	53	-0.8
✕Miguel Palma 2021 · A	19	40	39→45	48→40	45	193/281/280	88	261	6	11	27%	7%	63	-1.3	215/293/337	122	281	13	5	27%	8%	80	-0.1	217/284/341	124	274	15	2	26%	7%	76	-0.2
✕Jesus Galiz 2023 · A	19	37	42→45	49→40	41	187/250/292	105	255	9	5	30%	6%	53	-2.1	203/260/303	100	308	8	3	35%	6%	59	-1.6	195/253/292	98	300	8	2	36%	5%	53	-1.0

Curley Martha

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps