Jose Marcano

2B DSL CLE Goryl

Age 21 L/R 5'10" / 155 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2304ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	17	ROKDSL Guardians…	201	.188/.274/.256	0	3	-8	—	.115/.178/.158
2024	18	ROKDSL CLE Mendo…	107	.293/.340/.364	0	2	24	—	.198/.236/.248
2025	19	ROKDSL CLE Goryl	106	.261/.346/.337	0	1	22	—	.168/.240/.221
2027PROJMLE	21	MLBPIT	216	.219/.274/.292	1	3	60	-0.1
2028PROJ34% MLB	22	MLBPIT	25	.223/.280/.306	0	0	66	-0.0
2029PROJ48% MLB	23	MLBPIT	76	.226/.284/.317	1	1	70	-0.1

Next 3 projected WAR -0.2Projected 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 2025 Rk

Z-Con%91

K%77

Whiff%74

wOBA40

Speed36

ISO35

CompsJuan Centeno (age 21) · Luis Valenzuela (age 21) · Angel Ortiz (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 37 proj PA

wRC+†60

AVG/OBP/SLG.217 / .272 / .289

PA37

HR0

K%23

BB%6

ISO73

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M 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	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Pre-Arb	$1.0M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.7M	+$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)
2023	17	ROK	DSL Guardians Red	—	201	176	33	10	1	0	20	42	1	3	1	188	274	256	530	68	239	21	10	244	-8	—	—	—	—	—	—
2024	18	ROK	DSL CLE Mendoza	—	107	99	29	5	1	0	7	8	0	2	3	293	340	364	703	71	315	7	7	315	24	—	—	—	—	—	—
2025	19	ROK	DSL CLE Goryl	—	106	92	24	5	1	0	11	17	1	1	1	261	346	337	683	76	316	16	10	309	22	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Guardians Red	—	201	183	21	6	1	0	13	52	1	3	1	115	178	158	336	44	151	26	6	157	-8	—	—	—	—	—	—
2024	18	ROK MLE	DSL CLE Mendoza	—	107	101	20	3	1	0	5	10	0	2	3	198	236	248	483	50	205	9	5	204	24	—	—	—	—	—	—
2025	19	ROK MLE	DSL CLE Goryl	—	106	95	16	3	1	0	8	20	1	1	1	168	240	221	461	53	199	19	8	201	22	—	—	—	—	—	—
2023	17	ROK MLE	DSL Guardians Red	—	201	183	21	6	1	0	13	52	1	3	1	115	178	158	336	44	156	26	6	157	-8	—	—	—	—	—	—
2023	17	ROK RAW	DSL Guardians Red	—	201	176	33	10	1	0	20	42	1	3	1	188	274	256	530	68	239	21	10	244	-8	—	—	—	—	—	—
2024	18	ROK MLE	DSL CLE Mendoza	—	107	101	20	3	1	0	5	10	0	2	3	198	236	248	483	50	217	9	5	204	24	—	—	—	—	—	—
2024	18	ROK RAW	DSL CLE Mendoza	—	107	99	29	5	1	0	7	8	0	2	3	293	340	364	703	71	315	7	7	315	24	—	—	—	—	—	—
2025	19	ROK MLE	DSL CLE Goryl	—	106	95	16	3	1	0	8	20	1	1	1	168	240	221	461	53	211	19	8	201	22	—	—	—	—	—	—
2025	19	ROK RAW	DSL CLE Goryl	—	106	92	24	5	1	0	11	17	1	1	1	261	346	337	683	76	316	16	10	309	22	—	—	—	—	—	—
2023	17	ROK MLE	DSL Guardians Red	—	201	185	21	6	1	0	13	52	1	3	1	114	178	157	334	43	151	26	6	157	-8	—	—	—	—	—	—
2024	18	ROK MLE	DSL CLE Mendoza	—	107	101	20	3	1	0	5	10	0	2	3	198	236	248	483	50	205	9	5	204	24	—	—	—	—	—	—
2025	19	ROK MLE	DSL CLE Goryl	—	106	96	16	3	1	0	8	20	1	1	1	167	240	219	459	52	199	19	8	201	22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL CLE Mendoza	—	107	101	20	3	1	0	5	10	0	2	3	198	236	248	483	50	205	9	5	204	24	—	—	—	—	—	—
2025	19	ROK MLE	DSL CLE Goryl	—	106	96	16	3	1	0	8	20	1	1	1	167	240	219	459	52	199	19	8	201	22	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	PIT	0%	216	198	43	7	2	1	14	50	2	3	1	219	274	292	566	73	283	23	6	257	60	-10	+0	+0	+1	+5	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	PIT	34%	72	66	15	2	1	1	5	17	1	1	0	223	280	306	586	84	285	24	7	265	66	-3	+0	+0	+0	+2	-0.1
2029	23	MLB MLE	PIT	48%	156	144	32	5	1	2	10	36	1	3	1	226	284	319	602	93	286	23	6	272	70	-6	+0	+0	+1	+3	-0.1
2030	24	MLB MLE	PIT	53%	237	217	49	8	2	3	16	54	2	4	1	229	287	329	617	101	288	23	7	278	74	-7	+0	+0	+1	+5	-0.1
2031	25	MLB MLE	PIT	55%	309	283	65	11	2	5	21	71	2	6	2	231	290	338	628	107	288	23	7	282	77	-8	+0	+0	+1	+7	-0.0
2032	26	MLB MLE	PIT	56%	357	326	76	13	3	6	25	82	3	6	2	232	292	344	636	112	288	23	7	286	79	-9	+0	+0	+1	+8	0.1
2033	27	MLB MLE	PIT	55%	379	346	79	13	3	6	27	87	3	7	2	231	291	341	632	111	287	23	7	284	78	-10	+1	+0	+1	+8	0.0
2034	28	MLB MLE	PIT	55%	388	355	82	14	3	6	27	90	3	7	3	229	289	337	626	108	286	23	7	281	77	-11	+0	-1	+1	+8	-0.2
2035	29	MLB MLE	PIT	53%	386	353	80	13	3	6	27	91	3	6	3	226	286	330	616	104	285	24	7	278	74	-12	+0	-1	+1	+8	-0.4
2028	22	MLB CTX	PIT	34%	25	23	5	1	0	0	2	6	0	0	0	223	280	306	585	83	286	24	8	265	66	-1	+0	+0	+0	+1	-0.0
2029	23	MLB CTX	PIT	48%	76	70	17	3	1	1	5	18	1	1	0	226	284	317	601	92	287	24	7	271	70	-3	+0	+0	+0	+2	-0.1
2030	24	MLB CTX	PIT	53%	125	115	27	5	1	2	8	29	1	2	1	228	287	327	614	99	288	23	6	277	74	-4	+0	+0	+0	+3	-0.1
2031	25	MLB CTX	PIT	55%	169	154	35	6	1	2	12	39	1	3	1	230	290	335	624	105	289	23	7	281	77	-5	+0	+0	+1	+4	-0.0
2032	26	MLB CTX	PIT	56%	199	181	41	7	1	3	14	46	2	4	1	231	291	341	632	110	289	23	7	284	79	-5	+0	+0	+1	+4	0.1
2033	27	MLB CTX	PIT	55%	208	189	44	8	2	3	15	48	2	4	1	230	290	338	629	108	288	23	7	283	78	-5	+0	+0	+1	+5	0.0
2034	28	MLB CTX	PIT	55%	212	193	45	8	2	3	15	49	2	4	1	228	288	334	622	105	287	23	7	280	77	-6	+0	-0	+1	+5	-0.1
2035	29	MLB CTX	PIT	53%	206	189	42	7	1	3	14	48	1	3	2	226	286	328	613	102	286	23	7	276	74	-6	-0	-1	+1	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1220	1114	256	45	9	17	85	283	10	21	7	230	290	332	622	102	291	23	7	279	65	-35	+1	-1	+4	+26	-0.4
/ 162G	—	A+C		—	650	594	137	24	5	9	45	151	5	11	4	231	290	333	624	103	293	23	7	279	65	-18	+1	-1	+2	+14	-0.2
Career	—	MLE		—	2735	2504	542	92	21	35	186	619	20	47	19	216	276	312	588	95	271	23	7	265	65	-67	+3	-2	+8	+50	-0.8
/ 162G	—	MLE		—	650	595	129	22	5	8	44	147	5	11	5	217	276	311	587	94	273	23	7	265	65	-19	+1	-1	+2	+14	-0.2

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.

2025 DSLDSL CLE Goryl · 106 PAwOBA .304 → .201 (−103)K% 16.0% → 19.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.04%	÷1.028	×1.220	—	—	19.03%
BB% (unintentional) /PA	10.38%	÷0.993	×0.700	—	×0.985	7.21%
HBP% /PA	0.94%	—	×0.700	—	×0.985	0.65%
Singles /BIP	24.00%	÷1.061	×0.680	×1.019	×0.985	15.45%
Doubles /BIP	6.67%	÷1.020	×0.600	×1.019	×0.985	3.94%
Triples /BIP	1.33%	÷0.995	×0.600	×1.019	×0.985	0.81%
Home runs /BIP	0.00%	÷1.316	×0.470	—	×0.985	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 163, 1B 112, 2B 104, 3B 99, K 106, BB 99 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .304 → .201; ISO .076 → .047; BABIP .316 → .199. 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 CLE Mendoza · 107 PAwOBA .310 → .204 (−106)K% 7.5% → 9.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.48%	÷0.987	×1.220	—	—	9.24%
BB% (unintentional) /PA	6.54%	÷0.986	×0.700	—	×0.995	4.62%
HBP% /PA	0.00%	—	×0.700	—	×0.995	0.00%
Singles /BIP	25.27%	÷0.995	×0.680	×0.994	×0.995	17.07%
Doubles /BIP	5.49%	÷1.091	×0.600	×0.994	×0.995	2.99%
Triples /BIP	1.10%	÷1.045	×0.600	×0.994	×0.995	0.62%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 99, 2B 118, 3B 109, K 97, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .310 → .204; ISO .071 → .039; BABIP .315 → .205. 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).

2023 DSLDSL Guardians Red · 201 PAwOBA .241 → .157 (−84)K% 20.9% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.90%	÷0.984	×1.220	—	—	25.91%
BB% (unintentional) /PA	9.45%	÷1.015	×0.700	—	×1.008	6.57%
HBP% /PA	0.50%	—	×0.700	—	×1.008	0.35%
Singles /BIP	16.42%	÷1.060	×0.680	×0.992	×1.008	10.53%
Doubles /BIP	7.46%	÷0.987	×0.600	×0.992	×1.008	4.54%
Triples /BIP	0.75%	÷0.900	×0.600	×0.992	×1.008	0.50%
Home runs /BIP	0.00%	÷2.400	×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 380, 1B 112, 2B 97, 3B 80, K 97, BB 103 — 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 ×0.992.

Result: wOBA .241 → .157; ISO .068 → .042; BABIP .239 → .151. 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 Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#2Kiko Garcia'76-'85 * career totals — 8 seasons, 1,595 PA	2.4	1,595	12	34	232*	283*	343*	+14	+14	2.2	3.0
/162	664	5	14	+5.7	+6.0	0.9	pk7: 4
#3Ryan 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 5 projected seasons	1.9	1,256	19	22	230	286	335	+4	+5	0.4	0.5
/162	664	10	12	+2.4	+2.6	0.2	pk7: 1
#4Doug Strange'89-'98 * career totals — 8 seasons, 2,067 PA	3.1	2,067	31	14	225*	286*	340*	+5	-0	-1.5	0.0
/162	664	10	4	+1.6	-0.1	-0.5	pk7: 1
#5Joe McEwing'98-'06 * career totals — 7 seasons, 1,963 PA	3.0	1,963	25	33	240*	289*	341*	-4	+8	-1.1	-0.3
/162	664	8	11	-1.2	+2.9	-0.4	pk7: 0
#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
Jose Marcano (OGILVIE)	21	—	—	—	—	217/272/289	73	283	0	1	23%	6%	60	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Centeno 2011 · A	21	43	37→45	50→40	44	205/259/273	67	267	4	9	24%	6%	51	-2.2	255/296/318	63	315	2	6	19%	5%	75	-0.5	279/317/335	56	337	1	3	17%	5%	83	+0.0
✕Luis Valenzuela 2015 · A	21	40	37→45	55→45	39	195/234/270	75	262	4	7	27%	5%	40	-3.0	244/269/336	92	305	5	7	21%	3%	69	-0.9	263/285/365	102	319	5	7	19%	2%	78	-0.1
✕Angel Ortiz 2024 · A	21	40→45	39→50	47→45	40	197/244/283	86	268	6	8	28%	6%	48	-2.5	228/285/354	126	301	11	6	26%	7%	80	-0.1	227/286/370	143	294	13	8	26%	7%	82	+0.0
✕Darrien Miller 2021 · A	20	42	36→45	47→45	43	198/274/269	70	273	3	8	27%	6%	57	-1.8	204/306/321	117	276	13	6	29%	9%	82	+0.0	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Carlos Rodriguez 2024 · A	21	40	38→45	48→45	46	192/271/267	75	284	6	7	32%	9%	55	-1.9	191/263/273	82	291	6	4	33%	8%	53	-2.1	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Thomas Milone 2016 · A	21	45→46	36→45	50→55	40	210/259/278	68	290	3	14	28%	5%	52	-2.2	203/258/277	74	294	3	12	30%	6%	52	-2.2	237/293/355	117	331	8	17	29%	6%	79	-0.1
✕Leandro Pineda 2023 · A	21	36→46	39→50	48→45	42	174/249/268	95	270	5	6	35%	8%	47	-2.5	202/266/320	118	277	11	6	30%	7%	66	-1.1	218/291/356	137	276	14	5	25%	7%	81	-0.0
✕Jason Denham 2007 · A	21	41→45	35→40	53→55	44	191/255/252	61	281	3	10	31%	8%	45	-2.7	220/280/300	80	293	8	18	26%	7%	65	-1.2	220/282/295	75	288	8	21	25%	8%	64	-0.8
✕Christopher Familia 2022 · A	22	39	37→55	47→45	45	186/259/261	75	246	3	10	25%	7%	50	-2.3	209/272/362	153	261	19	5	27%	6%	78	-0.3	203/264/381	178	246	25	2	29%	6%	76	-0.2
✕Tzu-Wei Lin 2015 · A	21	44→51	35→45	44→50	47	206/266/268	62	270	2	8	23%	8%	53	-2.1	226/272/299	73	277	4	13	19%	6%	61	-1.5	241/294/348	107	314	8	10	24%	7%	78	-0.1
✕Angel Acosta 2024 · A	21	42	38→40	40→50	48	201/276/279	78	249	5	5	20%	7%	60	-1.6	211/268/276	65	259	4	9	19%	6%	55	-1.9	219/273/273	54	263	4	11	17%	6%	55	-0.7
✕Edgar Rondon 2016 · A	21	46	37→40	52→50	48	213/291/294	80	278	3	12	23%	8%	69	-0.9	206/275/275	69	326	3	10	34%	7%	59	-1.7	169/246/196	27	334	0	12	45%	7%	28	-0.7
✕Daniel Vellojin 2021 · A	21	42	37→45	47→45	53	198/288/275	77	240	4	8	18%	9%	65	-1.2	200/294/312	112	278	10	5	29%	11%	75	-0.5	183/281/293	111	253	11	4	30%	11%	64	-0.7
✕Jose Augusto Figueroa 2014 · A	21	44	37→40	49→45	47	205/270/287	81	260	4	11	22%	7%	59	-1.7	216/260/296	80	306	4	12	29%	5%	57	-1.8	240/273/329	88	342	5	9	30%	4%	66	-0.4
✕Charles Mack 2021 · A	21	44	37→45	49→40	42	207/268/285	77	297	4	7	30%	7%	57	-1.8	183/261/286	103	304	10	4	39%	9%	57	-1.8	154/240/258	104	248	11	1	40%	10%	40	-1.3
✕Anthony Seigler 2021 · A	22	43→40	37→45	49→55	47	202/280/276	75	285	5	6	29%	9%	61	-1.5	191/285/298	107	268	9	9	29%	11%	69	-0.9	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Ben Rortvedt 2019 · A	21	45	39→45	49→40	43	216/267/302	86	280	6	3	25%	6%	61	-1.5	216/275/324	108	289	10	3	27%	6%	70	-0.9	201/288/304	103	283	11	2	30%	10%	70	-0.3
✕Ashton McGee 2021 · A	22	40	39→45	50→40	40	193/257/281	88	286	5	5	33%	7%	53	-2.1	202/288/313	111	362	10	4	42%	10%	73	-0.6	187/282/297	110	342	11	2	44%	11%	65	-0.7
✕Shane Opitz 2013 · A	21	41	38→40	48→50	40	199/241/281	81	267	4	5	26%	5%	46	-2.6	238/277/316	78	303	4	9	22%	5%	67	-1.1	254/288/325	71	310	3	9	18%	5%	69	-0.4
✕Diomedes Del Rio 2018 · A	20	38	35→55	51→50	45	179/249/238	60	241	2	9	25%	7%	40	-3.0	203/266/309	106	286	5	9	28%	7%	62	-1.4	197/266/356	159	277	6	11	29%	8%	72	-0.3

Jose Marcano

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps