Luis Galan

SS DSL CLE Mendoza

Age 18 R/R 5'9" / 144 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1246ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	16	ROKDSL CLE Mendo…	170	.264/.391/.300	0	6	43	—	.185/.296/.212
2026	17	ROKDSL CLE Mendo…	136	.340/.493/.427	0	14	86	—	.232/.358/.295
2027PROJMLE	18	MLBPIT	246	.210/.290/.275	1	4	63	0.0
2028PROJ34% MLB	19	MLBPIT	43	.215/.296/.291	0	1	69	0.0
2029PROJ48% MLB	20	MLBPIT	111	.219/.301/.304	1	2	74	0.0

Next 3 projected WAR 0.0Projected 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

Whiff%95

Z-Con%95

K%94

wOBA91

wRC+89

BB%86

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 96%

CompsCarlos Tocci (age 18) · Romer Cuadrado (age 18) · Bladimil Franco (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 70 proj PA

wRC+†63

AVG/OBP/SLG.208 / .287 / .273

PA70

HR0

K%24

BB%9

ISO66

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$15M ctrl surplus

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE50

scouting grade only

SPEED45

scouting grade only

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	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2036	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2037	Arb-2	$4M	+0.4	$0.7M	+$0.0M (cut)
2038	Arb-3	$4M	+0.3	$0.5M	+$0.0M (cut)
Totals		$3M		$6M	+$2M

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)
2025	16	ROK	DSL CLE Mendoza	—	170	140	37	3	1	0	24	35	5	6	2	264	391	300	691	36	349	21	14	328	43	—	—	—	—	—	—
2026	17	ROK	DSL CLE Mendoza	—	136	103	35	7	1	0	29	15	2	14	2	340	493	427	920	87	393	11	21	417	86	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	16	ROK MLE	DSL CLE Mendoza	—	170	146	27	2	1	0	18	44	5	6	2	185	296	212	508	27	249	26	11	232	43	—	—	—	—	—	—
2026	17	ROK MLE	DSL CLE Mendoza	—	136	112	26	5	1	0	20	18	2	14	2	232	358	295	653	62	265	13	15	295	86	—	—	—	—	—	—
2025	16	ROK MLE	DSL CLE Mendoza	—	170	146	27	2	1	0	18	44	5	6	2	185	296	212	508	27	262	26	11	232	43	—	—	—	—	—	—
2025	16	ROK RAW	DSL CLE Mendoza	—	170	140	37	3	1	0	24	35	5	6	2	264	391	300	691	36	349	21	14	328	43	—	—	—	—	—	—
2026	17	ROK MLE	DSL CLE Mendoza	—	136	112	26	5	1	0	20	18	2	14	2	232	358	295	653	62	274	13	15	295	86	—	—	—	—	—	—
2026	17	ROK RAW	DSL CLE Mendoza	—	136	103	35	7	1	0	29	15	2	14	2	340	493	427	920	87	393	11	21	417	86	—	—	—	—	—	—
2025	16	ROK MLE	DSL CLE Mendoza	—	170	145	27	2	1	0	18	44	5	6	2	186	296	214	510	28	249	26	11	232	43	—	—	—	—	—	—
2026	17	ROK MLE	DSL CLE Mendoza	—	136	113	26	5	1	0	20	18	2	14	2	230	358	292	650	62	265	13	15	295	86	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	16	ROK MLE	DSL CLE Mendoza	—	170	145	27	2	1	0	18	44	5	6	2	186	296	214	510	28	249	26	11	232	43	—	—	—	—	—	—
2026	17	ROK MLE	DSL CLE Mendoza	—	136	113	26	5	1	0	20	18	2	14	2	230	358	292	650	62	265	13	15	295	86	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	18	MLB MLE	PIT	0%	246	219	46	7	2	1	22	59	3	4	1	210	290	275	565	66	277	24	9	262	63	-11	+0	+0	+3	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	19	MLB MLE	PIT	34%	126	112	25	4	1	1	11	30	2	2	1	215	296	292	588	77	280	24	9	271	69	-5	+0	+0	+1	+3	-0.1
2029	20	MLB MLE	PIT	48%	230	204	46	7	2	3	21	54	3	4	1	219	301	306	606	86	282	23	9	278	74	-7	+0	+0	+2	+5	0.1
2030	21	MLB MLE	PIT	54%	352	312	70	11	2	5	32	81	5	6	2	223	305	317	622	94	283	23	9	284	79	-9	+0	+0	+4	+8	0.3
2031	22	MLB MLE	PIT	57%	441	392	89	14	3	7	40	101	6	7	2	226	307	327	634	101	285	23	9	289	82	-10	+1	+0	+5	+10	0.5
2032	23	MLB MLE	PIT	58%	500	444	101	16	3	8	45	114	7	8	3	228	309	335	644	107	286	23	9	293	84	-9	+0	+0	+5	+11	0.7
2033	24	MLB MLE	PIT	57%	539	478	109	17	3	9	48	123	8	9	3	229	310	338	648	108	287	23	9	294	85	-9	+1	+0	+6	+12	0.9
2034	25	MLB MLE	PIT	57%	564	500	115	18	4	10	51	129	8	9	3	230	311	339	650	110	287	23	9	295	86	-10	+1	+0	+6	+12	1.0
2035	26	MLB MLE	PIT	57%	578	513	118	19	4	10	52	132	8	9	3	230	311	340	651	110	287	23	9	295	86	-10	+1	+0	+6	+13	1.0
2036	27	MLB MLE	PIT	60%	580	515	118	19	4	10	52	133	8	9	3	229	310	337	647	109	286	23	9	294	85	-10	+1	+0	+6	+13	0.9
2037	28	MLB MLE	PIT	62%	573	508	116	18	4	10	52	133	8	8	3	227	308	333	641	106	285	23	9	291	83	-11	+0	-1	+6	+12	0.7
2038	29	MLB MLE	PIT	63%	560	497	112	18	3	9	50	131	8	7	3	225	305	327	632	102	284	23	9	288	81	-13	+0	-1	+6	+12	0.4
2039	30	MLB MLE	PIT	63%	546	485	108	17	3	8	49	130	7	7	4	222	302	319	621	98	283	24	9	284	78	-14	-0	-2	+6	+12	0.1
2040	31	MLB MLE	PIT	65%	528	470	102	16	3	7	46	128	7	5	6	218	297	310	607	92	280	24	9	278	74	-16	-1	-3	+6	+11	-0.3
2028	19	MLB CTX	PIT	34%	43	38	7	1	0	0	4	10	1	1	0	215	296	291	587	76	280	23	9	270	69	-2	+0	+0	+0	+1	0.0
2029	20	MLB CTX	PIT	48%	111	98	21	3	1	1	10	26	2	2	1	219	301	304	604	85	282	23	9	278	74	-3	+0	+0	+1	+2	0.0
2030	21	MLB CTX	PIT	54%	191	169	37	6	1	2	17	44	3	3	1	222	304	315	619	93	284	23	9	283	79	-5	+0	+0	+2	+4	0.2
2031	22	MLB CTX	PIT	57%	250	222	50	8	2	3	22	57	4	4	1	225	307	324	631	99	285	23	9	288	82	-5	+0	+0	+3	+5	0.3
2032	23	MLB CTX	PIT	58%	288	256	58	10	2	4	26	66	4	5	2	227	309	331	640	104	286	23	9	291	84	-5	+0	+0	+3	+6	0.4
2033	24	MLB CTX	PIT	57%	307	272	62	10	2	5	28	70	4	5	2	229	310	334	644	106	287	23	9	293	85	-5	+0	+0	+3	+7	0.5
2034	25	MLB CTX	PIT	57%	320	283	65	11	2	5	29	73	5	5	2	229	310	336	646	107	287	23	9	293	86	-5	+0	+0	+3	+7	0.5
2035	26	MLB CTX	PIT	57%	327	290	66	11	2	5	29	75	5	5	2	229	310	336	646	107	287	23	9	294	86	-5	+0	+0	+4	+7	0.5
2036	27	MLB CTX	PIT	60%	347	308	71	12	2	6	31	80	5	5	2	228	309	334	643	106	287	23	9	292	85	-6	+0	+0	+4	+8	0.5
2037	28	MLB CTX	PIT	62%	354	314	71	12	2	5	32	82	5	5	2	226	307	329	637	103	286	23	9	290	83	-7	+0	-0	+4	+8	0.4
2038	29	MLB CTX	PIT	63%	352	312	70	12	2	5	32	83	5	5	2	224	305	324	628	100	285	24	9	286	81	-8	+0	-1	+4	+8	0.3
2039	30	MLB CTX	PIT	63%	347	308	68	11	2	5	31	83	5	4	2	221	301	317	618	95	283	24	9	282	78	-9	+0	-1	+4	+8	0.1
2040	31	MLB CTX	PIT	65%	343	306	66	11	2	4	30	83	4	3	4	217	297	307	604	90	280	24	9	277	74	-11	-1	-2	+4	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3580	3176	712	118	22	50	321	832	52	52	23	224	306	322	628	98	286	23	9	288	81	-78	+1	-4	+38	+78	3.6
/ 162G	—	A+C		—	650	577	129	21	4	9	58	151	9	9	4	224	304	321	625	97	285	23	9	288	81	-14	+0	-1	+7	+14	0.6
Career	—	MLE		—	6493	5751	1294	203	41	97	593	1498	93	111	41	225	308	325	633	100	286	23	9	287	81	-136	+3	-7	+66	+134	6.2
/ 162G	—	MLE		—	650	576	129	20	4	10	59	150	9	11	4	224	305	325	630	101	284	23	9	287	81	-14	+0	-1	+7	+14	0.7

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 CLE Mendoza · 136 PAwOBA .411 → .295 (−116)K% 11.0% → 13.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.03%	÷1.000	×1.220	—	—	13.46%
BB% (unintentional) /PA	21.32%	÷1.000	×0.700	—	×1.008	15.04%
HBP% /PA	1.47%	—	×0.700	—	×1.008	1.04%
Singles /BIP	30.68%	÷1.000	×0.680	×1.010	×1.008	21.24%
Doubles /BIP	7.95%	÷1.000	×0.600	×1.010	×1.008	4.86%
Triples /BIP	1.14%	÷1.000	×0.600	×1.010	×1.008	0.69%
Home runs /BIP	0.00%	÷1.000	×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): no park row on file (treated as neutral) — 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 ×1.010.

Result: wOBA .411 → .295; ISO .087 → .058; BABIP .393 → .265. 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).

2025 DSLDSL CLE Mendoza · 170 PAwOBA .323 → .232 (−91)K% 20.6% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.59%	÷0.981	×1.220	—	—	25.60%
BB% (unintentional) /PA	14.12%	÷0.977	×0.700	—	×1.022	10.34%
HBP% /PA	2.94%	—	×0.700	—	×1.022	2.11%
Singles /BIP	31.43%	÷1.003	×0.680	×1.038	×1.022	22.62%
Doubles /BIP	2.86%	÷0.970	×0.600	×1.038	×1.022	1.88%
Triples /BIP	0.95%	÷0.991	×0.600	×1.038	×1.022	0.61%
Home runs /BIP	0.00%	÷0.940	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 101, 2B 94, 3B 98, K 96, BB 95 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .323 → .232; ISO .036 → .023; BABIP .349 → .249. 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
#1Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#2Cliff 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
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#4Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#5Gene 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
#6Ronny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.5	3,650	57	54	226	304	329	+39	+24	6.0	5.4
/162	664	10	10	+7.1	+4.4	1.1	pk7: 5

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
Luis Galan (OGILVIE)	18	40	20	45	50	208/287/273	65	277	0	1	24%	9%	63	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Tocci 2014 · A	18	42→52	34→40	42→45	39	199/239/244	45	258	1	8	23%	4%	36	-3.3	232/273/300	68	299	3	8	22%	4%	62	-1.4	266/308/338	72	332	3	8	20%	4%	81	-0.1
✕Romer Cuadrado 2016 · A	18	36	36→40	44→45	42	176/239/238	62	247	3	10	28%	6%	36	-3.3	195/257/282	87	304	7	8	35%	7%	53	-2.1	190/248/276	86	310	7	6	39%	6%	46	-1.5
✕Bladimil Franco 2013 · A	19	41	34→30	41→40	48	189/243/241	52	232	2	5	19%	7%	38	-3.2	215/261/283	68	255	3	7	16%	6%	53	-2.1	240/275/308	67	271	2	6	12%	4%	62	-0.5
✕Jefrey Ramos 2017 · A	18	38→41	36→45	46→40	41	185/232/255	71	246	3	7	26%	5%	37	-3.3	211/249/331	120	272	13	3	27%	4%	61	-1.5	208/246/333	125	263	14	1	26%	4%	58	-1.2
✕Jhonny Gomez 2008 · A	18	37	36→30	46→40	45	177/251/242	66	264	4	11	32%	8%	42	-2.9	191/272/244	53	248	2	7	22%	9%	51	-2.3	214/286/257	43	274	2	4	21%	7%	57	-0.7
✕Shean Michel 2016 · A	18	42	34→40	47→50	41	196/240/254	58	260	1	9	24%	5%	39	-3.1	211/255/267	56	288	1	10	25%	5%	47	-2.5	215/259/265	50	301	1	10	27%	5%	46	-1.0
✕Steven Mateo 2011 · A	18	40	35→30	41→50	39	190/241/249	59	283	2	5	32%	6%	39	-3.1	185/271/249	64	267	3	7	29%	9%	52	-2.2	190/285/259	69	264	3	8	26%	11%	58	-0.6
✕Alvaro Rubi 2016 · A	19	40	35→30	49→45	51	184/255/244	60	216	3	6	16%	8%	44	-2.8	194/287/268	74	226	4	7	15%	9%	63	-1.4	179/290/251	72	202	4	6	13%	10%	61	-0.5
✕Estarlyn Morales 2012 · A	19	37→40	35→40	44→50	49	172/244/232	60	212	3	7	20%	8%	38	-3.2	187/248/263	76	233	5	10	21%	7%	45	-2.7	184/245/270	86	231	7	13	22%	7%	45	-1.0
✕Jhon Goncalves 2008 · A	19	38→48	33→40	49→50	47	176/249/220	44	228	1	13	22%	7%	36	-3.3	188/255/246	58	276	3	11	31%	7%	44	-2.8	182/251/230	48	293	4	9	36%	7%	37	-1.2
✕Luis Montero 2014 · A	18	38	35→30	43→45	47	179/253/239	60	224	2	5	20%	7%	42	-2.9	192/259/245	53	237	2	6	18%	7%	46	-2.6	180/246/226	46	222	0	4	18%	6%	35	-1.2
✕Gabriel Reyes 2009 · A	18	43	34→30	43→55	46	198/250/249	50	246	1	8	20%	6%	42	-2.9	197/271/243	46	241	2	12	18%	8%	50	-2.3	181/271/204	23	217	1	17	15%	9%	40	-1.0
✕Luis Mendoza 2016 · A	18	41	34→30	45→50	42	192/239/245	54	240	1	8	20%	5%	37	-3.3	200/264/265	65	238	3	7	16%	6%	52	-2.2	185/259/237	52	207	1	6	11%	6%	43	-1.0
✕Hector Martinez 2016 · A	18	39	36→40	46→50	37	186/240/247	61	281	4	10	34%	5%	38	-3.2	173/256/241	68	283	5	9	37%	8%	45	-2.7	140/238/200	60	244	5	9	40%	9%	28	-1.2
✕Stanley Martinez 2016 · A	19	38	35→40	48→50	47	180/250/246	66	242	2	9	25%	8%	42	-2.9	186/264/260	74	244	5	8	24%	8%	51	-2.2	179/260/250	71	234	6	7	24%	8%	47	-0.9
✕Kelvin Estevez 2015 · A	19	37	35→30	50→45	43	180/242/237	58	251	3	6	28%	7%	37	-3.3	194/238/264	70	323	5	6	39%	5%	41	-3.0	172/199/223	51	321	5	2	47%	3%	13	-1.2
✕Fabian Andrade 2017 · A	18	38	34→30	49→45	49	175/248/223	48	223	1	7	21%	8%	36	-3.3	182/249/223	41	222	1	8	17%	7%	37	-3.3	173/240/195	22	204	0	8	14%	7%	26	-1.4
✕Luis Hidalgo 2016 · A	20	41	36→45	46→45	48	191/248/253	62	220	4	11	15%	6%	43	-2.8	200/257/305	105	236	11	10	20%	5%	59	-1.7	203/258/315	113	230	13	11	18%	5%	60	-0.6
✕Reginald Lampe 2009 · A	19	40	36→45	48→55	43	189/254/251	63	283	3	8	32%	8%	45	-2.7	192/253/271	79	250	5	8	24%	7%	49	-2.4	186/249/282	96	223	8	12	20%	6%	48	-0.7
✕Franklin Labour 2017 · A	19	38	35→45	50	45	181/246/236	55	232	2	6	22%	6%	39	-3.1	189/258/267	78	260	4	10	27%	7%	51	-2.3	163/258/279	116	271	10	10	40%	10%	52	-0.8

Luis Galan

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps