Enry Torres

C DSL Reds

Age 19 L/R 5'10" / 167 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#740ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Rojos	122	.232/.378/.274	1	3	37	—	.167/.286/.206
2026	18	ROKCIN	121	.277/.429/.415	1	1	61	—	.180/.311/.270
2027PROJMLE	19	MLBCIN	231	.235/.313/.319	2	3	82	0.2
2028PROJ34% MLB	20	MLBCIN	41	.239/.318/.334	0	1	86	0.1
2029PROJ48% MLB	21	MLBCIN	104	.242/.321/.344	1	2	89	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

Whiff%97

K%92

Z-Con%92

Chase%79

wOBA73

wRC+67

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsJackson Holliday (age 19) · Chance Sisco (age 19) · Josue De Paula (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 63 proj PA

wRC+†82

AVG/OBP/SLG.232 / .311 / .316

PA63

HR1

K%22

BB%9

ISO84

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$40M ctrl surplus

Tools · ContractCON 70 / POW 36

Toolsscout grade

CONTACT70

scouting grade only

POWER36

scouting grade only

EYE68

scouting grade only

SPEED50

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	+0.9	$2M	+$2M
2034	Pre-Arb	$1.0M	+0.9	$2M	+$2M
2035	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2036	Arb-1	$3M	+0.7	$1M	+$0.2M
2037	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2038	Arb-3	$5M	+0.5	$0.9M	+$0.0M (cut)
Totals		$6M		$10M	+$5M

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)
2025	17	ROK	DSL Rojos	—	122	95	22	1	0	1	22	15	1	3	1	232	378	274	652	42	256	12	18	308	37	—	—	—	—	—	—
2026	18	ROK	DSL Reds	—	121	94	26	10	0	1	19	14	6	1	0	277	429	415	843	138	309	12	16	382	61	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rojos	—	122	102	17	1	0	1	16	18	1	3	1	167	286	206	492	39	177	15	13	223	37	—	—	—	—	—	—
2026	18	ROK MLE	DSL Reds	—	121	100	18	6	0	1	13	17	6	1	0	180	311	270	581	90	195	14	11	258	61	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rojos	—	122	102	17	1	0	1	16	18	1	3	1	167	286	206	492	39	186	15	13	223	37	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rojos	—	122	95	22	1	0	1	22	15	1	3	1	232	378	274	652	42	256	12	18	308	37	—	—	—	—	—	—
2026	18	ROK MLE	DSL Reds	—	121	100	18	6	0	1	13	17	6	1	0	180	311	270	581	90	202	14	11	258	61	—	—	—	—	—	—
2026	18	ROK RAW	DSL Reds	—	121	94	26	10	0	1	19	14	6	1	0	277	429	415	843	138	309	12	16	382	61	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rojos	—	122	104	17	1	0	1	16	18	1	3	1	163	286	202	488	38	177	15	13	223	37	—	—	—	—	—	—
2026	18	ROK MLE	DSL Reds	—	121	101	18	6	0	1	13	17	6	1	0	178	311	267	578	89	195	14	11	258	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Rojos	—	122	104	17	1	0	1	16	18	1	3	1	163	286	202	488	38	177	15	13	223	37	—	—	—	—	—	—
2026	18	ROK MLE	DSL Reds	—	121	101	18	6	0	1	13	17	6	1	0	178	311	267	578	89	195	14	11	258	61	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	CIN	0%	231	206	48	9	1	2	20	52	3	3	1	235	313	319	632	84	301	23	9	289	82	-5	+0	+0	+4	+5	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	CIN	34%	118	105	24	4	1	1	10	26	2	2	1	238	317	330	647	93	302	22	8	295	86	-2	+0	+0	+2	+3	0.3
2029	21	MLB MLE	CIN	48%	214	190	45	8	1	3	19	47	3	4	1	240	320	340	660	100	302	22	9	300	89	-3	+0	+0	+4	+5	0.6
2030	22	MLB MLE	CIN	54%	326	289	71	13	2	5	29	71	5	6	2	242	322	348	670	106	303	22	9	304	92	-3	+0	+0	+6	+7	1.0
2031	23	MLB MLE	CIN	57%	407	362	88	16	2	7	36	89	6	8	3	244	323	355	678	111	303	22	9	307	94	-3	+0	+0	+7	+9	1.4
2032	24	MLB MLE	CIN	57%	445	396	97	17	3	8	40	97	6	8	3	245	324	360	684	115	303	22	9	309	95	-3	+0	+0	+8	+10	1.6
2033	25	MLB MLE	CIN	57%	445	396	97	17	3	8	40	97	6	8	3	245	324	361	685	116	303	22	9	309	96	-2	+0	+0	+8	+10	1.6
2034	26	MLB MLE	CIN	56%	445	396	97	17	3	8	40	97	6	8	3	245	324	362	686	117	303	22	9	310	96	-2	+0	+0	+8	+10	1.6
2035	27	MLB MLE	CIN	55%	445	396	97	17	3	8	40	98	6	8	3	244	323	359	682	115	303	22	9	308	95	-3	+0	+0	+8	+10	1.5
2036	28	MLB MLE	CIN	55%	445	396	95	17	2	7	40	99	6	7	3	242	321	354	675	112	302	22	9	305	93	-4	+0	-1	+8	+10	1.4
2037	29	MLB MLE	CIN	53%	445	396	95	17	2	7	40	100	6	7	4	240	318	348	666	108	301	22	9	302	90	-5	-0	-1	+8	+10	1.1
2038	30	MLB MLE	CIN	53%	445	397	95	17	2	7	39	101	6	7	4	237	315	340	655	103	299	23	9	297	87	-7	-0	-2	+8	+10	0.9
2039	31	MLB MLE	CIN	52%	426	381	88	15	2	6	37	99	5	5	6	233	310	330	640	97	296	23	9	291	83	-8	-1	-3	+8	+9	0.4
2040	32	MLB MLE	CIN	52%	407	364	83	14	2	5	35	96	5	5	10	228	304	318	622	90	293	24	9	284	78	-11	-3	-4	+7	+9	-0.1
2028	20	MLB CTX	CIN	34%	41	36	8	2	0	0	4	9	1	1	0	239	318	334	652	95	303	22	10	297	86	-1	+0	+0	+1	+1	0.1
2029	21	MLB CTX	CIN	48%	104	92	22	4	1	1	9	23	2	2	1	242	321	344	665	103	303	22	9	302	89	-1	+0	+0	+2	+2	0.3
2030	22	MLB CTX	CIN	54%	177	156	39	7	1	3	16	39	3	3	1	244	323	353	676	109	303	22	9	306	92	-2	+0	+0	+3	+4	0.6
2031	23	MLB CTX	CIN	57%	230	204	50	9	1	4	21	50	3	4	2	245	324	360	684	115	304	22	9	309	94	-2	+0	+0	+4	+5	0.7
2032	24	MLB CTX	CIN	57%	252	224	56	10	2	5	22	55	4	5	2	247	325	366	691	119	304	22	9	312	95	-1	+0	+0	+4	+5	0.9
2033	25	MLB CTX	CIN	57%	251	223	55	10	1	5	22	55	4	5	2	247	326	367	693	120	304	22	9	312	96	-1	+0	+0	+4	+5	0.9
2034	26	MLB CTX	CIN	56%	251	223	55	10	1	5	22	55	4	5	2	247	326	368	693	121	304	22	9	312	96	-1	+0	+0	+4	+5	0.9
2035	27	MLB CTX	CIN	55%	247	220	53	9	1	5	22	54	3	4	2	246	325	365	689	119	304	22	9	311	95	-2	+0	+0	+4	+5	0.8
2036	28	MLB CTX	CIN	55%	244	217	52	9	1	4	22	54	3	4	2	244	323	360	683	116	303	22	9	308	93	-2	+0	-0	+4	+5	0.7
2037	29	MLB CTX	CIN	53%	238	212	51	9	1	4	21	53	3	4	2	242	320	353	673	112	302	22	9	304	90	-3	+0	-1	+4	+5	0.6
2038	30	MLB CTX	CIN	53%	234	208	50	9	1	4	21	53	3	3	2	239	316	345	661	106	300	23	9	300	87	-4	-0	-1	+4	+5	0.5
2039	31	MLB CTX	CIN	52%	222	198	46	8	1	3	19	51	3	3	3	234	311	335	646	100	297	23	9	294	83	-4	-1	-1	+4	+5	0.2
2040	32	MLB CTX	CIN	52%	211	188	43	7	1	3	18	50	3	2	5	229	305	322	627	93	294	24	9	286	78	-5	-2	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2702	2401	580	103	13	46	239	601	39	45	26	242	320	353	673	111	302	22	9	305	89	-29	-1	-6	+48	+59	7.2
/ 162G	—	A+C		—	650	578	140	25	3	11	57	145	9	11	6	242	320	353	673	111	304	22	9	305	89	-7	-0	-1	+12	+14	1.7
Career	—	MLE		—	5319	4722	1120	198	28	83	480	1166	76	88	47	237	318	344	661	107	296	22	9	299	89	-57	-2	-10	+91	+110	13.4
/ 162G	—	MLE		—	650	577	136	24	3	10	59	142	9	11	6	236	316	340	656	104	294	22	9	299	89	-7	-0	-1	+12	+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 Reds · 121 PAwOBA .379 → .258 (−121)K% 11.6% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.57%	÷1.000	×1.220	—	—	14.12%
BB% (unintentional) /PA	15.70%	÷1.000	×0.700	—	×1.008	11.07%
HBP% /PA	4.96%	—	×0.700	—	×1.008	3.50%
Singles /BIP	18.75%	÷1.000	×0.680	×0.975	×1.008	12.52%
Doubles /BIP	12.50%	÷1.000	×0.600	×0.975	×1.008	7.36%
Triples /BIP	0.00%	÷1.000	×0.600	×0.975	×1.008	0.00%
Home runs /BIP	1.25%	÷1.000	×0.470	—	×1.008	0.59%

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 ×0.975.

Result: wOBA .379 → .258; ISO .138 → .084; BABIP .309 → .195. 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 Rojos · 122 PAwOBA .309 → .223 (−86)K% 12.3% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.30%	÷0.993	×1.220	—	—	15.10%
BB% (unintentional) /PA	18.03%	÷1.011	×0.700	—	×1.022	12.77%
HBP% /PA	0.82%	—	×0.700	—	×1.022	0.59%
Singles /BIP	25.00%	÷0.976	×0.680	×0.980	×1.022	17.45%
Doubles /BIP	1.25%	÷1.013	×0.600	×0.980	×1.022	0.74%
Triples /BIP	0.00%	÷0.978	×0.600	×0.980	×1.022	0.00%
Home runs /BIP	1.25%	÷0.987	×0.470	—	×1.022	0.61%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 97, 1B 95, 2B 103, 3B 96, K 99, BB 102 — 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 ×0.980.

Result: wOBA .309 → .223; ISO .042 → .024; BABIP .256 → .177. 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
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Josh Bardlast yr '11 career totals — 9 seasons, 1,958 PA	2.9	1,958	38	1	252	318	381	+33	+24	10.4	10.4
/162	664	13	0	+11.1	+8.0	3.5	pk7: 11
#3Mike Fitzgerald'83-'92 * career totals — 9 seasons, 2,667 PA	4.0	2,667	48	31	234*	320*	372*	+43	-1	9.5	9.3
/162	664	12	8	+10.8	-0.3	2.4	pk7: 9
#4Jorge Alfarolast yr '23 career totals — 7 seasons, 1,693 PA	2.5	1,693	48	18	254	303	396	+30	+17	9.1	9.1
/162	664	19	7	+11.9	+6.6	3.6	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.2	2,765	43	46	242	316	350	+49	+32	9.4	8.2
/162	664	10	11	+11.9	+7.7	2.3	pk7: 7
#5Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#6Jake Gibbs'63-'71 * career totals — 7 seasons, 1,795 PA	2.7	1,795	25	28	244*	299*	362*	+32	+0	5.4	5.4
/162	664	9	10	+11.9	+0.0	2.0	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
Enry Torres (OGILVIE)	19	65→70	31→36	45→50	68	232/311/316	83	301	1	1	22%	9%	82	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Jackson Holliday 2023 · A	19	51→61	41→50	49→50	60	240/338/346	106	301	8	10	21%	13%	98	+1.2	254/339/391	137	339	12	14	26%	11%	109	+2.0	249/334/388	139	323	13	15	25%	11%	105	+1.7
●Chance Sisco 2014 · A	19	54→64	38→50	47→40	47	247/319/327	80	341	5	6	27%	8%	86	+0.3	281/335/373	92	363	6	4	22%	7%	102	+1.5	296/352/391	94	378	6	3	22%	7%	110	+1.5
●Josue De Paula 2024 · A	19	52→54	38→50	51→55	52	242/326/327	85	316	5	14	23%	10%	89	+0.5	236/331/360	124	307	12	20	25%	12%	99	+1.3	241/338/391	150	298	16	24	23%	12%	106	+1.5
●Andrés Giménez 2018 · A	19	50→59	38→50	48→55	49	236/308/322	86	282	5	11	18%	7%	82	-0.0	242/299/351	109	312	7	23	24%	5%	84	+0.2	260/322/413	154	311	16	25	21%	5%	109	+1.8
●J.P. Crawford 2014 · A	19	51→57	37→45	50	49	238/302/314	76	308	3	13	23%	8%	76	-0.4	254/322/351	97	304	8	13	18%	9%	93	+0.8	261/352/384	123	304	11	2	17%	11%	113	+2.4
✕Cam Maron 2010 · A	19	47→57	40	50→40	47	223/290/317	95	292	7	7	25%	8%	74	-0.6	241/309/329	88	308	7	5	22%	8%	83	+0.1	245/318/319	74	316	4	2	22%	9%	82	-0.0
✕Alejo Lopez 2016 · A	20	51→61	38→40	46→55	51	239/308/319	80	277	4	9	15%	7%	80	-0.1	229/282/302	73	267	4	10	15%	6%	66	-1.1	269/335/357	88	309	5	12	14%	8%	96	+0.8
✕Carlos Sanchez 2024 · A	19	49→54	37→40	50	56	218/326/301	83	327	4	13	30%	13%	84	+0.2	217/305/303	86	356	6	12	36%	11%	76	-0.4	225/310/326	101	351	8	14	35%	11%	79	-0.1
✕Kean Wong 2015 · A	20	57→63	36→45	48→55	41	269/302/333	63	340	3	10	21%	4%	80	-0.2	257/294/327	70	326	4	12	21%	5%	76	-0.4	262/307/372	111	343	9	9	25%	5%	89	+0.4
✕Diego Velasquez 2024 · A	20	49→59	40	50	46	234/299/328	94	301	7	12	24%	7%	80	-0.2	253/321/334	81	323	4	15	21%	8%	88	+0.5	262/334/335	73	332	3	18	20%	8%	91	+0.6
✕Noah Mendlinger 2022 · A	21	49→59	39→30	44→45	52	232/313/323	92	294	5	6	22%	10%	84	+0.1	246/336/323	77	297	4	8	17%	9%	93	+0.8	269/354/337	68	315	2	8	14%	8%	100	+1.0
✕Rubén Tejada 2008 · A	18	51→61	38→40	51→50	50	240/318/319	79	291	5	13	18%	8%	85	+0.2	237/292/307	70	286	3	9	17%	6%	72	-0.7	264/320/329	64	312	2	6	15%	6%	86	+0.3
✕Alexi Amarista 2009 · A	20	51→61	38→45	50→55	51	239/294/319	80	267	5	17	13%	7%	74	-0.5	264/309/366	102	308	4	18	15%	5%	91	+0.6	270/311/375	105	314	4	19	15%	5%	91	+0.6
✕Adrian Cardenas 2008 · A	20	52→60	41→45	50	44	252/296/351	100	305	8	12	20%	6%	83	+0.1	265/314/360	95	319	6	10	18%	6%	91	+0.7	281/332/373	92	325	5	8	14%	7%	100	+1.2
✕Reese McGuire 2014 · A	19	52→54	35→45	49→45	46	244/288/306	62	288	2	7	16%	5%	69	-0.9	243/282/302	59	282	2	8	14%	5%	65	-1.2	237/296/361	124	284	14	5	21%	7%	85	+0.1
✕Max Moroff 2013 · A	20	51→60	39→50	48→50	52	239/316/323	85	302	6	12	22%	10%	84	+0.2	217/281/304	87	307	5	10	29%	8%	67	-1.1	242/324/370	128	322	13	10	27%	10%	96	+0.8
●Josh Thole 2006 · A	19	47→57	37→45	47→45	53	219/298/292	73	257	5	5	16%	9%	71	-0.8	229/294/295	66	288	3	4	20%	8%	70	-0.9	291/353/392	101	328	5	4	12%	8%	113	+1.7
●Kevin McGonigle 2024 · A	19	51→57	39→50	47→50	54	240/319/330	90	294	6	15	20%	10%	87	+0.4	261/339/405	144	289	14	15	14%	10%	112	+2.2	271/359/435	164	294	17	13	14%	12%	126	+2.5
✕Hank Conger 2007 · A	19	47→57	40→50	54→45	44	224/275/327	103	289	6	6	24%	6%	70	-0.9	250/289/389	139	299	15	6	21%	5%	90	+0.6	260/314/394	134	302	14	2	18%	7%	99	+0.9
✕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

Enry Torres

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps