Jaims Martinez

SS DSL Cubs Blue

Age 18 S/R ROK HR -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#531ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	17	ROKDSL Cubs Blue	183	.285/.449/.474	3	28	70	—	.173/.303/.280
2027PROJMLE	18	MLBCHC	293	.223/.303/.322	3	11	79	0.2
2028PROJ34% MLB	19	MLBCHC	51	.230/.312/.343	1	2	84	0.1
2029PROJ48% MLB	20	MLBCHC	125	.234/.316/.354	2	5	88	0.3

Next 3 projected WAR 0.6Projected 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

Speed93

Whiff%90

Z-Con%88

Chase%87

K%84

BB%84

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsEduardo Quintero (age 18) · Angel Genao (age 18) · Kevyn Castillo (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 95 proj PA

wRC+†79

AVG/OBP/SLG.221 / .301 / .320

PA95

HR1

K%23

BB%9

ISO100

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$49M ctrl surplus

Tools · Contract

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	+1.1	$6M	+$5M
2034	Pre-Arb	$1.0M	+1.2	$6M	+$5M
2035	Pre-Arb	$1.0M	+1.2	$5M	+$5M
2036	Arb-1	$5M	+1.2	$5M	+$3M
2037	Arb-2	$8M	+1.0	$4M	+$1M
2038	Arb-3	$10M	+0.8	$1M	+$0.0M (cut)
Totals		$16M		$26M	+$19M

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)
2026	17	ROK	DSL Cubs Blue	—	183	137	39	7	5	3	38	26	3	28	11	285	449	474	924	190	319	14	21	403	70	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	17	ROK MLE	DSL Cubs Blue	—	183	150	26	4	3	2	25	32	3	28	11	173	303	280	583	107	197	17	14	272	70	—	—	—	—	—	—
2026	17	ROK MLE	DSL Cubs Blue	—	183	150	26	4	3	2	25	32	3	28	11	173	303	280	583	107	198	17	14	272	70	—	—	—	—	—	—
2026	17	ROK RAW	DSL Cubs Blue	—	183	137	39	7	5	3	38	26	3	28	11	285	449	474	924	190	319	14	21	403	70	—	—	—	—	—	—
2026	17	ROK MLE	DSL Cubs Blue	—	183	153	26	4	3	2	25	32	3	28	11	170	303	275	578	105	197	17	14	272	70	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	17	ROK MLE	DSL Cubs Blue	—	183	153	26	4	3	2	25	32	3	28	11	170	303	275	578	105	197	17	14	272	70	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	18	MLB MLE	CHC	0%	293	261	58	10	4	3	27	67	3	11	1	223	303	322	626	100	287	23	9	285	79	-7	+2	+0	+3	+6	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	19	MLB MLE	CHC	34%	148	131	30	5	2	2	14	34	2	6	1	227	309	335	644	108	289	23	9	292	84	-3	+1	+0	+2	+3	0.3
2029	20	MLB MLE	CHC	48%	258	229	53	9	3	4	24	58	3	10	2	230	313	347	659	116	291	22	9	298	88	-4	+1	+0	+3	+6	0.6
2030	21	MLB MLE	CHC	54%	377	334	78	13	5	6	35	85	5	14	3	233	316	356	672	123	292	23	9	303	91	-4	+2	+0	+4	+8	1.0
2031	22	MLB MLE	CHC	57%	460	408	96	16	6	8	43	103	6	17	3	236	318	364	683	129	293	22	9	307	94	-3	+2	+0	+5	+10	1.4
2032	23	MLB MLE	CHC	58%	515	455	108	18	6	10	48	115	7	20	4	238	320	371	691	133	294	22	9	310	96	-2	+2	+0	+6	+11	1.7
2033	24	MLB MLE	CHC	57%	552	488	117	20	7	11	52	123	7	21	4	239	321	375	696	136	295	22	9	312	98	-2	+3	+0	+6	+12	1.9
2034	25	MLB MLE	CHC	57%	575	509	122	20	7	12	54	128	7	22	4	240	321	378	699	138	295	22	9	313	98	-1	+3	+0	+6	+12	2.1
2035	26	MLB MLE	CHC	57%	589	521	125	21	7	12	55	131	8	22	4	240	322	379	701	139	295	22	9	314	99	-1	+3	+0	+6	+13	2.1
2036	27	MLB MLE	CHC	55%	589	522	124	21	7	12	55	132	7	22	4	239	321	377	698	138	294	22	9	313	98	-2	+3	+0	+6	+13	2.1
2037	28	MLB MLE	CHC	55%	582	515	122	20	7	12	55	132	7	21	4	237	319	372	691	135	293	23	9	310	96	-3	+3	-1	+6	+13	1.8
2038	29	MLB MLE	CHC	53%	565	500	118	20	7	11	53	129	7	20	4	235	316	366	683	132	292	23	9	307	94	-4	+2	-1	+6	+12	1.5
2039	30	MLB MLE	CHC	57%	551	489	113	19	6	10	51	128	6	19	4	232	313	359	672	127	291	23	9	302	91	-6	+2	-2	+6	+12	1.2
2040	31	MLB MLE	CHC	60%	533	473	108	18	6	9	49	126	6	18	4	228	308	349	658	121	288	24	9	297	87	-8	+2	-3	+6	+12	0.8
2041	32	MLB MLE	CHC	61%	511	455	101	16	6	8	46	123	5	17	5	223	302	338	640	115	285	24	9	289	82	-11	+1	-4	+5	+11	0.4
2042	33	MLB MLE	CHC	62%	475	425	92	14	5	7	42	117	5	15	5	217	295	323	618	107	280	25	9	281	76	-13	+1	-4	+5	+10	-0.1
2028	19	MLB CTX	CHC	34%	51	45	11	2	1	1	5	12	1	2	0	230	312	343	655	113	294	24	10	296	84	-1	+0	+0	+1	+1	0.1
2029	20	MLB CTX	CHC	48%	125	110	26	4	2	2	12	28	2	5	1	234	316	354	670	120	296	22	10	302	88	-2	+1	+0	+1	+3	0.3
2030	21	MLB CTX	CHC	54%	204	180	42	7	3	3	19	46	3	8	1	237	319	363	682	127	297	23	9	307	91	-2	+1	+0	+2	+4	0.6
2031	22	MLB CTX	CHC	57%	260	231	54	9	4	4	24	58	3	10	2	239	321	371	692	132	298	22	9	311	94	-2	+1	+0	+3	+6	0.8
2032	23	MLB CTX	CHC	58%	297	263	64	11	4	6	28	66	4	11	2	241	322	378	700	137	299	22	9	314	96	-1	+1	+0	+3	+6	1.0
2033	24	MLB CTX	CHC	57%	315	279	67	12	4	6	29	70	4	12	2	242	324	381	705	139	299	22	9	316	98	-1	+2	+0	+3	+7	1.1
2034	25	MLB CTX	CHC	57%	326	288	70	12	5	6	31	73	4	12	2	243	324	384	708	141	300	22	10	317	98	-1	+2	+0	+3	+7	1.2
2035	26	MLB CTX	CHC	57%	333	295	72	12	5	7	31	74	4	13	2	243	324	385	710	142	299	22	9	317	99	-0	+2	+0	+4	+7	1.2
2036	27	MLB CTX	CHC	55%	327	289	71	12	5	7	31	73	4	12	2	242	323	383	706	141	299	22	9	316	98	-1	+2	+0	+4	+7	1.2
2037	28	MLB CTX	CHC	55%	320	283	68	12	4	6	30	72	4	12	2	240	321	378	700	138	298	22	9	313	96	-1	+2	-0	+3	+7	1.0
2038	29	MLB CTX	CHC	53%	302	267	64	11	4	6	28	69	4	11	2	238	319	372	691	135	297	23	9	310	94	-2	+1	-1	+3	+7	0.8
2039	30	MLB CTX	CHC	57%	315	279	66	11	4	6	29	73	4	11	2	235	315	365	680	130	295	23	9	306	91	-3	+1	-1	+3	+7	0.7
2040	31	MLB CTX	CHC	60%	318	282	65	11	4	5	29	75	4	11	2	231	311	355	666	125	293	24	9	300	87	-5	+1	-2	+3	+7	0.5
2041	32	MLB CTX	CHC	61%	313	279	63	10	4	5	28	75	3	10	3	226	305	344	648	118	289	24	9	293	82	-7	+1	-2	+3	+7	0.2
2042	33	MLB CTX	CHC	62%	297	266	58	9	4	4	26	73	3	9	3	220	297	329	627	110	285	25	9	284	76	-8	+1	-3	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4103	3636	861	145	57	74	380	937	51	149	28	237	318	369	687	132	297	23	9	308	92	-38	+19	-9	+44	+89	10.7
/ 162G	—	A+C		—	650	576	137	23	9	12	60	148	8	24	4	238	318	372	690	134	298	23	9	308	92	-6	+3	-1	+7	+14	1.7
Career	—	MLE		—	7558	6689	1551	257	91	137	710	1718	92	295	66	232	314	359	673	127	290	23	9	304	92	-69	+31	-15	+79	+160	19.0
/ 162G	—	MLE		—	650	575	134	22	8	12	61	148	8	25	6	233	315	362	677	129	291	23	9	304	92	-6	+3	-1	+7	+14	1.7

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 DSLDSL Cubs Blue · 183 PAwOBA .402 → .272 (−129)K% 14.2% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.21%	÷1.000	×1.220	—	—	17.33%
BB% (unintentional) /PA	19.67%	÷1.000	×0.700	—	—	13.77%
HBP% /PA	1.64%	—	×0.700	—	—	1.15%
Singles /BIP	21.62%	÷1.000	×0.680	×0.953	—	14.01%
Doubles /BIP	6.31%	÷1.000	×0.600	×0.953	—	3.61%
Triples /BIP	4.50%	÷1.000	×0.600	×0.953	—	2.58%
Home runs /BIP	2.70%	÷1.000	×0.470	—	—	1.27%

Factors used: level-wide DSL 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 unknown — no age adjustment. Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.953.

Result: wOBA .402 → .272; ISO .190 → .114; BABIP .319 → .197. 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
#1Ivan de Jesus'74-'88 * career totals — 10 seasons, 5,193 PA	7.8	5,193	21	194	248*	320*	350*	+55	+68	16.1	16.8
/162	664	3	25	+7.0	+8.7	2.1	pk7: 18
#2Freddie Patek'68-'81 * career totals — 13 seasons, 6,246 PA	9.4	6,246	41	385	242*	311*	356*	+66	-5	14.7	15.3
/162	664	4	41	+7.0	-0.5	1.6	pk7: 16
#3Harold Reynolds'83-'94 * career totals — 11 seasons, 5,398 PA	8.1	5,398	21	250	255*	325*	359*	+18	+53	13.8	14.7
/162	664	3	31	+2.3	+6.6	1.7	pk7: 16
#4Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.3	4,197	77	152	234	312	363	+45	+27	13.8	11.5
/162	664	12	24	+7.1	+4.3	2.2	pk7: 9
#5Danny 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
#6Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10

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
Jaims Martinez (OGILVIE)	18	—	—	—	—	221/301/320	99	287	1	3	23%	9%	79	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Eduardo Quintero 2024 · A	18	46→54	40→45	58→60	53	216/306/324	108	273	5	19	21%	10%	82	-0.0	225/320/342	117	312	9	25	28%	11%	91	+0.7	231/334/361	130	321	12	30	28%	12%	99	+1.0
●Angel Genao 2022 · A	18	43→53	36→45	58→50	59	198/299/266	68	249	3	16	20%	12%	67	-1.1	232/295/324	92	306	6	11	24%	8%	77	-0.3	271/329/396	125	328	10	12	19%	8%	104	+1.3
✕Kevyn Castillo 2024 · A	19	49→46	38→50	54→55	53	227/310/317	91	295	4	19	23%	10%	81	-0.1	232/306/336	104	327	8	14	29%	9%	84	+0.1	232/311/351	119	315	11	14	28%	9%	86	+0.2
✕Carlos Jorge 2022 · A	18	46→56	39→45	62→60	49	216/288/319	103	277	5	24	23%	8%	73	-0.6	208/282/338	130	299	12	26	32%	8%	76	-0.4	193/266/325	132	285	13	29	35%	8%	65	-0.7
✕Pedro Ramírez 2023 · A	19	50→57	40→45	53→55	44	237/287/335	98	286	6	14	19%	5%	76	-0.4	245/302/345	100	311	7	14	22%	7%	84	+0.1	265/318/375	110	323	9	22	20%	6%	95	+0.8
✕Juan Brito 2021 · A	19	45→50	39→50	53→45	49	213/277/301	88	254	6	13	18%	7%	65	-1.2	229/306/349	120	287	11	10	22%	9%	87	+0.4	231/317/370	139	276	13	9	20%	10%	94	+0.8
✕Ricky Cabrera 2024 · A	19	48→44	40→45	57→60	43	224/310/324	99	311	7	18	28%	7%	84	+0.1	216/282/315	99	309	8	12	31%	6%	71	-0.8	213/277/319	106	299	10	14	30%	5%	67	-0.8
✕Aron Estrada 2024 · A	19	47→54	41→50	52→55	54	220/310/327	107	272	6	9	20%	10%	84	+0.2	247/301/365	118	304	11	21	22%	6%	88	+0.5	258/306/387	130	312	14	21	21%	5%	93	+0.7
✕Leo Rivas 2018 · A	20	47→56	37→40	56→65	55	217/314/292	75	284	3	19	23%	11%	78	-0.3	191/275/274	83	293	5	10	33%	10%	59	-1.7	244/357/336	92	322	8	44	24%	14%	103	+1.0
✕Domingo Leyba 2014 · A	18	47→52	41→50	52→45	54	220/296/329	109	252	6	14	15%	9%	78	-0.3	234/279/319	85	286	5	8	19%	5%	69	-0.9	240/289/360	120	286	11	4	19%	6%	80	-0.1
✕Jaison Chourio 2024 · A	19	49→55	36→40	55	55	224/319/299	75	316	2	18	27%	12%	80	-0.1	232/327/322	90	320	6	23	26%	12%	88	+0.5	235/331/328	92	319	6	27	25%	12%	90	+0.4
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
✕Victor Acosta 2022 · A	18	42→45	39→40	55→50	50	198/293/292	94	262	5	20	25%	9%	70	-0.8	193/277/276	83	277	4	12	29%	8%	61	-1.5	188/274/265	77	265	4	13	28%	7%	55	-1.1
●Josue De Paula 2023 · A	18	47→54	40→50	50→55	54	224/305/318	94	270	6	14	19%	10%	80	-0.2	233/325/328	95	314	7	17	25%	11%	90	+0.6	241/338/391	150	298	16	24	23%	12%	106	+1.5
✕Joendry Vargas 2024 · A	18	44→51	40→45	52→55	53	213/288/305	92	259	7	17	20%	9%	70	-0.8	215/273/324	109	300	9	18	30%	7%	69	-0.9	226/269/345	120	310	11	19	30%	5%	70	-0.4
●Royce Lewis 2018 · A	19	46→51	41→60	55→50	47	222/293/320	98	273	8	16	21%	7%	76	-0.4	223/272/331	108	291	10	16	26%	6%	70	-0.9	262/323/475	213	304	29	14	24%	8%	123	+1.4
●Xavier Edwards 2019 · A	19	53→63	37→40	56→60	50	245/308/320	75	309	3	18	21%	8%	80	-0.2	257/303/319	62	306	1	19	15%	6%	77	-0.3	308/366/390	82	353	4	36	13%	8%	116	+2.2
✕Cristofer Torin 2024 · A	19	46→55	38→40	54→50	54	219/299/292	73	262	5	19	18%	9%	72	-0.7	235/310/323	88	290	7	11	20%	9%	82	+0.0	243/315/341	98	290	8	10	18%	9%	86	+0.3
●Geraldo Perdomo 2019 · A	19	44→54	35→45	53→55	57	205/300/267	62	260	3	17	20%	11%	67	-1.1	222/307/301	79	287	4	15	22%	9%	77	-0.3	258/359/382	124	284	11	19	13%	13%	115	+2.4
✕Welbyn Francisca 2024 · A	18	44→41	39→45	50→55	48	208/283/300	92	277	5	12	25%	8%	68	-1.0	228/294/332	104	296	9	20	24%	8%	78	-0.3	225/294/339	114	289	12	24	25%	9%	78	-0.2

Jaims Martinez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps