Alexander Requena

C DSL Miami

Age 21 R/R 6'0" / 175 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1421ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	17	ROKDSL Miami	30	.292/.433/.375	0	0	57	—	.192/.300/.231
2024	18	ROKDSL Miami	130	.272/.390/.340	0	0	37	—	.176/.276/.213
2025	19	ROKDSL Miami	84	.310/.417/.521	3	5	49	—	.178/.286/.260
2027PROJMLE	21	MLBMIA	194	.213/.283/.290	2	4	64	0.0
2028PROJ34% MLB	22	MLBMIA	24	.210/.281/.292	0	1	69	0.0
2029PROJ48% MLB	23	MLBMIA	75	.214/.284/.303	1	2	73	0.1

Next 3 projected WAR 0.1Projected 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

wOBA93

ISO93

wRC+89

K%80

Whiff%74

Z-Con%70

CompsJhostynxon Garcia (age 21) · Adan Velazquez (age 21) · Jose Ramos (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 33 proj PA

wRC+†64

AVG/OBP/SLG.211 / .280 / .288

PA33

HR0

K%26

BB%7

ISO77

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M 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	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2036	Arb-1	$0.6M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.8M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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 Miami	—	30	24	7	2	0	0	5	6	1	0	0	292	433	375	808	83	389	20	17	377	57	—	—	—	—	—	—
2024	18	ROK	DSL Miami	—	130	103	28	5	1	0	16	28	4	0	0	272	390	340	730	68	341	22	12	323	37	—	—	—	—	—	—
2025	19	ROK	DSL Miami	—	84	71	22	6	0	3	7	13	6	5	2	310	417	521	938	211	345	15	8	417	49	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Miami	—	30	26	5	1	0	0	3	7	1	0	0	192	300	231	531	38	264	23	10	253	57	—	—	—	—	—	—
2024	18	ROK MLE	DSL Miami	—	130	108	19	2	1	0	11	34	4	0	0	176	276	213	489	37	209	26	8	223	37	—	—	—	—	—	—
2025	19	ROK MLE	DSL Miami	—	84	73	13	3	0	1	5	15	6	5	2	178	286	260	546	82	206	18	6	241	49	—	—	—	—	—	—
2023	17	ROK MLE	DSL Miami	—	30	26	5	1	0	0	3	7	1	0	0	192	300	231	531	38	263	23	10	253	57	—	—	—	—	—	—
2023	17	ROK RAW	DSL Miami	—	30	24	7	2	0	0	5	6	1	0	0	292	433	375	808	83	389	20	17	377	57	—	—	—	—	—	—
2024	18	ROK MLE	DSL Miami	—	130	108	19	2	1	0	11	34	4	0	0	176	276	213	489	37	235	26	8	223	37	—	—	—	—	—	—
2024	18	ROK RAW	DSL Miami	—	130	103	28	5	1	0	16	28	4	0	0	272	390	340	730	68	341	22	12	323	37	—	—	—	—	—	—
2025	19	ROK MLE	DSL Miami	—	84	73	13	3	0	1	5	15	6	5	2	178	286	260	546	82	211	18	6	241	49	—	—	—	—	—	—
2025	19	ROK RAW	DSL Miami	—	84	71	22	6	0	3	7	13	6	5	2	310	417	521	938	211	345	15	8	417	49	—	—	—	—	—	—
2023	17	ROK MLE	DSL Miami	—	30	26	5	1	0	0	3	7	1	0	0	192	300	231	531	38	264	23	10	253	57	—	—	—	—	—	—
2024	18	ROK MLE	DSL Miami	—	130	114	19	2	1	0	11	34	4	0	0	167	276	202	478	35	209	26	8	223	37	—	—	—	—	—	—
2025	19	ROK MLE	DSL Miami	—	84	73	13	3	0	1	5	15	6	5	2	178	286	260	546	82	206	18	6	241	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Miami	—	130	114	19	2	1	0	11	34	4	0	0	167	276	202	478	35	209	26	8	223	37	—	—	—	—	—	—
2025	19	ROK MLE	DSL Miami	—	84	73	13	3	0	1	5	15	6	5	2	178	286	260	546	82	206	18	6	241	49	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	MIA	0%	194	175	37	6	1	2	14	51	3	4	1	213	283	290	573	77	287	26	7	263	64	-8	+0	+0	+3	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	MIA	34%	71	65	13	2	0	1	5	18	1	2	0	217	287	304	591	87	288	25	7	270	69	-3	+0	+0	+1	+2	0.1
2029	23	MLB MLE	MIA	48%	154	139	30	5	1	2	11	39	3	3	1	220	291	316	607	96	290	25	7	276	73	-5	+0	+0	+3	+3	0.1
2030	24	MLB MLE	MIA	53%	236	213	48	8	2	4	17	60	4	5	2	223	294	327	620	103	291	25	7	281	77	-7	+0	+0	+4	+5	0.3
2031	25	MLB MLE	MIA	55%	306	275	62	11	2	5	23	77	5	7	2	226	296	335	631	109	291	25	8	285	79	-8	+1	+0	+5	+7	0.5
2032	26	MLB MLE	MIA	56%	355	319	72	13	2	6	27	89	6	8	2	227	298	341	639	114	291	25	8	288	81	-8	+1	+0	+6	+8	0.7
2033	27	MLB MLE	MIA	55%	377	340	76	13	2	7	28	95	6	8	3	226	297	339	635	113	290	25	7	287	80	-9	+0	+0	+7	+8	0.7
2034	28	MLB MLE	MIA	55%	386	348	78	13	2	7	29	98	6	8	3	224	295	334	628	110	289	25	8	284	79	-10	+0	-1	+7	+8	0.5
2035	29	MLB MLE	MIA	53%	383	346	76	13	2	6	28	98	6	8	3	222	292	327	619	106	288	26	7	280	76	-11	+0	-1	+7	+8	0.3
2036	30	MLB MLE	MIA	53%	376	339	75	13	2	6	28	98	6	8	3	218	288	320	608	101	286	26	7	276	73	-12	+0	-2	+7	+8	0.1
2028	22	MLB CTX	MIA	34%	24	22	4	1	0	0	2	6	0	1	0	210	281	292	573	81	280	25	8	262	69	-1	+0	+0	+0	+1	0.0
2029	23	MLB CTX	MIA	48%	75	69	14	2	0	1	5	19	1	2	1	214	284	303	588	89	281	25	7	268	73	-2	+0	+0	+1	+2	0.1
2030	24	MLB CTX	MIA	53%	124	112	25	4	1	2	9	31	2	3	1	216	287	313	600	96	282	25	7	273	77	-3	+0	+0	+2	+3	0.2
2031	25	MLB CTX	MIA	55%	167	150	33	5	1	3	12	42	3	4	1	218	290	321	610	102	282	25	7	277	79	-4	+0	+0	+3	+4	0.3
2032	26	MLB CTX	MIA	56%	198	178	38	6	1	3	15	50	3	4	1	220	291	327	618	107	282	25	8	280	81	-4	+0	+0	+4	+4	0.4
2033	27	MLB CTX	MIA	55%	207	186	41	7	1	4	16	52	3	5	1	219	290	324	614	105	281	25	8	279	80	-5	+1	+0	+4	+4	0.4
2034	28	MLB CTX	MIA	55%	211	190	41	7	1	3	16	54	3	5	2	217	288	320	608	103	280	26	8	276	79	-5	+0	-0	+4	+5	0.3
2035	29	MLB CTX	MIA	53%	204	184	39	6	1	3	15	52	3	4	2	215	285	314	599	99	279	25	7	272	76	-6	+0	-1	+4	+4	0.2
2036	30	MLB CTX	MIA	53%	198	178	38	6	1	3	15	52	3	4	2	212	282	306	588	95	277	26	8	268	73	-6	+0	-1	+4	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1408	1269	273	44	7	22	105	358	21	32	11	215	286	313	599	98	280	25	7	275	74	-38	+2	-2	+25	+31	1.8
/ 162G	—	A+C		—	650	586	125	20	3	10	48	165	10	15	5	213	284	309	593	96	278	25	7	275	74	-17	+1	-1	+12	+14	0.8
Career	—	MLE		—	2921	2621	573	98	16	45	217	737	55	63	21	219	292	320	612	101	284	25	7	278	74	-73	+4	-4	+48	+58	3.3
/ 162G	—	MLE		—	650	583	128	22	4	10	48	164	12	14	5	220	292	322	615	103	285	25	7	278	74	-18	+1	-1	+12	+14	0.8

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 Miami · 84 PAwOBA .406 → .241 (−164)K% 15.5% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.48%	÷1.040	×1.220	—	—	18.15%
BB% (unintentional) /PA	8.33%	÷0.978	×0.700	—	×0.985	5.87%
HBP% /PA	7.14%	—	×0.700	—	×0.985	4.92%
Singles /BIP	22.41%	÷0.978	×0.680	×0.950	×0.985	14.58%
Doubles /BIP	10.34%	÷1.026	×0.600	×0.950	×0.985	5.66%
Triples /BIP	0.00%	÷1.088	×0.600	×0.950	×0.985	0.00%
Home runs /BIP	5.17%	÷1.423	×0.470	—	×0.985	1.68%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 185, 1B 96, 2B 105, 3B 118, K 108, BB 96 — 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 ×0.950.

Result: wOBA .406 → .241; ISO .211 → .090; BABIP .345 → .206. 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 Miami · 130 PAwOBA .334 → .223 (−111)K% 21.5% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.54%	÷1.016	×1.220	—	—	25.86%
BB% (unintentional) /PA	12.31%	÷0.996	×0.700	—	×0.995	8.61%
HBP% /PA	3.08%	—	×0.700	—	×0.995	2.14%
Singles /BIP	29.33%	÷1.002	×0.680	×0.958	×0.995	18.98%
Doubles /BIP	6.67%	÷1.263	×0.600	×0.958	×0.995	3.02%
Triples /BIP	1.33%	÷1.100	×0.600	×0.958	×0.995	0.69%
Home runs /BIP	0.00%	÷1.836	×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 267, 1B 100, 2B 153, 3B 120, K 103, BB 99 — 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 ×0.958.

Result: wOBA .334 → .223; ISO .068 → .035; BABIP .341 → .209. 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 Miami · 30 PAwOBA .369 → .253 (−116)K% 20.0% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.992	×1.220	—	—	24.60%
BB% (unintentional) /PA	16.67%	÷1.030	×0.700	—	×1.008	11.41%
HBP% /PA	3.33%	—	×0.700	—	×1.008	2.35%
Singles /BIP	27.78%	÷0.957	×0.680	—	×1.008	19.88%
Doubles /BIP	11.11%	÷1.039	×0.600	—	×1.008	6.47%
Triples /BIP	0.00%	÷1.150	×0.600	—	×1.008	0.00%
Home runs /BIP	0.00%	÷0.948	×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 90, 1B 91, 2B 108, 3B 130, K 98, BB 106 — 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).

Result: wOBA .369 → .253; ISO .083 → .050; BABIP .389 → .264. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.2	1,442	24	31	224	291	331	+26	+24	2.8	2.7
/162	664	11	14	+11.9	+11.1	1.3	pk7: 3
#4Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
#5Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#6Andy Allanson'86-'95 * career totals — 6 seasons, 1,633 PA	2.5	1,633	16	23	238*	283*	326*	+29	-0	0.3	0.5
/162	664	7	9	+11.6	-0.1	0.1	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
Alexander Requena (OGILVIE)	21	—	—	—	—	211/280/288	77	287	0	1	26%	7%	64	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jhostynxon Garcia 2024 · A	21	38→44	41→50	52→50	43	182/258/286	104	279	7	9	35%	8%	55	-1.9	220/276/370	150	298	17	10	31%	6%	81	-0.1	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Adan Velazquez 2011 · A	21	40→50	39→45	52→50	41	192/253/281	89	260	5	10	27%	6%	51	-2.2	222/270/312	90	297	7	9	26%	5%	64	-1.3	254/293/350	97	308	8	4	20%	4%	79	-0.1
✕Jose Ramos 2021 · A	20	41→44	36→50	48→45	43	194/262/264	70	258	3	9	25%	6%	51	-2.2	218/281/363	145	322	16	4	35%	7%	81	-0.1	210/279/360	150	310	18	4	36%	7%	78	-0.2
✕Chris Roller 2018 · A	21	37	37→45	53→55	45	177/253/254	77	242	4	12	27%	8%	46	-2.6	204/272/316	112	294	8	11	31%	7%	67	-1.1	189/255/293	104	275	7	15	32%	6%	54	-1.0
✕Luke Williams 2019 · A	22	41→44	38→45	50→65	42	199/251/269	70	259	6	15	25%	5%	47	-2.5	210/270/306	96	280	7	19	26%	7%	63	-1.3	229/291/325	96	311	8	37	27%	7%	74	-0.3
✕Luis Carpio 2018 · A	21	44→43	36→45	49→50	45	209/265/275	65	275	3	10	24%	7%	54	-2.0	211/272/306	95	273	8	8	24%	7%	64	-1.3	211/272/293	83	286	6	8	27%	7%	58	-0.9
✕Cutter Dykstra 2010 · A	21	41→51	40	47→55	43	199/261/283	85	276	8	11	30%	7%	55	-1.9	223/280/299	76	311	6	16	28%	7%	65	-1.2	239/306/325	86	316	6	16	24%	8%	79	-0.2
✕Riley Unroe 2017 · A	21	42→47	36→45	46→55	44	199/262/261	62	279	4	12	29%	7%	50	-2.3	203/271/281	78	291	6	12	30%	8%	58	-1.7	218/301/329	112	292	11	26	27%	10%	78	-0.1
✕Nelson Medina 2022 · A	21	38	38→45	53→50	51	181/272/260	79	252	4	15	28%	10%	55	-2.0	185/255/278	93	317	6	13	40%	8%	52	-2.2	140/198/215	76	278	6	16	49%	6%	14	-1.7
✕Andrés Nolaya 2024 · A	19	39	36→45	47→50	46	183/256/246	64	263	3	12	30%	8%	45	-2.7	196/270/269	73	284	4	17	30%	8%	55	-1.9	201/281/282	81	280	7	21	28%	8%	61	-0.5
✕Niko Vasquez 2010 · A	21	41→42	37→50	46→45	43	196/264/267	72	292	5	6	33%	8%	53	-2.1	200/274/309	109	277	10	3	29%	9%	66	-1.1	220/276/351	131	285	16	6	28%	6%	74	-0.3
✕Ramon Mendoza 2023 · A	22	40→50	37→45	48→45	45	190/266/265	75	277	4	7	31%	8%	53	-2.1	214/286/312	98	294	8	5	28%	8%	72	-0.7	232/310/341	109	301	10	3	24%	9%	83	+0.1
✕Jeudy Valdez 2010 · A	21	41→46	38→50	52→55	39	197/249/280	83	286	4	14	31%	6%	49	-2.4	206/247/323	117	277	11	18	29%	5%	59	-1.7	212/249/346	134	278	13	17	28%	3%	62	-1.2
✕Tyler Ladendorf 2009 · A	21	39→49	37→40	53→50	43	188/255/262	74	250	4	9	25%	6%	48	-2.5	214/265/304	90	276	6	9	24%	6%	61	-1.5	224/285/315	91	283	6	3	22%	7%	69	-0.4
✕Cutter Coffey 2024 · A	20	38→45	39→45	49→50	44	185/262/271	86	271	7	13	32%	8%	53	-2.1	201/271/317	116	296	12	10	34%	8%	67	-1.1	199/268/315	116	299	12	9	35%	8%	63	-0.9
✕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
✕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
✕Jose Paez 2014 · A	20	43	37→45	50	39	203/249/286	83	278	4	11	27%	5%	50	-2.3	205/256/282	77	317	4	10	34%	6%	52	-2.2	192/248/248	56	315	4	11	38%	6%	38	-0.6
✕Christian Cairo 2021 · A	20	39→49	35→40	48→60	44	184/266/243	59	279	2	9	32%	8%	49	-2.4	191/294/274	83	293	6	15	33%	11%	68	-1.0	219/314/286	67	298	3	31	25%	10%	75	-0.4
✕Brainer Bonaci 2022 · A	20	40→46	38→45	53→50	43	192/253/278	86	262	5	13	27%	7%	51	-2.3	219/294/329	110	303	9	13	28%	9%	78	-0.3	221/301/335	114	300	11	14	28%	10%	80	-0.1

Alexander Requena

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps