Andres Torres

C FCL Rays

Age 20 L/R 5'11" / 145 lbs ROK HR -6%H +4% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#448ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Tampa Bay	172	.238/.349/.320	1	12	34	—	.156/.244/.188
2025	18	ROKDSL Tampa Bay	192	.271/.439/.326	0	8	61	—	.188/.332/.227
2026	19	A/ROKTB	259	.273/.418/.312	1	17	67	—	.219/.321/.251
2027PROJMLE	20	MLBTB	369	.210/.295/.278	2	7	66	0.1
2028PROJ34% MLB	21	MLBTB	71	.219/.303/.302	1	1	74	0.1
2029PROJ48% MLB	22	MLBTB	153	.223/.308/.318	2	3	79	0.2

Next 3 projected WAR 0.4Projected 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 A

BB%97

Chase%92

Z-Con%71

Whiff%57

K%16

wRC+11

Career WAR0.0 WAR median (P10 0.0 / P90 4.2, comp-based) · star 0% · didn't stick 90%

CompsRichi Sanchez (age 21) · Marco Vargas (age 19) · Enmanuel Terrero (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 153 proj PA

wRC+†66

AVG/OBP/SLG.208 / .293 / .276

PA153

HR1

K%24

BB%10

ISO68

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$29M ctrl surplus

Tools · ContractCON 45 / POW 20

Toolsscout grade

CONTACT45

scouting grade only

POWER20

scouting grade only

EYE60

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	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2035	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2036	Arb-1	$2M	+0.4	$0.8M	+$0.0M
2037	Arb-2	$2M	+0.3	$0.6M	+$0.0M (cut)
2038	Arb-3	$1M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$6M	+$3M

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)
2024	17	ROK	DSL Tampa Bay	—	172	147	35	5	2	1	24	33	1	12	2	238	349	320	669	82	301	19	14	312	34	—	—	—	—	—	—
2025	18	ROK	DSL Tampa Bay	—	192	144	39	8	0	0	34	24	9	8	5	271	439	326	765	56	312	12	18	358	61	—	—	—	—	—	—
2026	19	A	Charleston RiverDogs	—	47	37	5	0	0	0	10	15	0	1	1	135	319	135	454		227	32	21	245	11	—	—	—	—	—	—
2026	19	ROK	FCL Rays	—	212	168	51	5	0	1	39	31	2	16	1	304	440	351	791	48	362	15	18	367	79	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tampa Bay	—	172	154	24	3	1	0	17	41	1	12	2	156	244	188	432	32	223	24	10	218	34	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	192	154	29	6	0	0	24	29	9	8	5	188	332	227	559	39	207	15	12	258	61	—	—	—	—	—	—
2026	19	A MLE	Charleston RiverDogs	—	47	40	4	0	0	0	7	20	0	1	1	100	234	100	334		218	43	15	185	11	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	212	183	45	4	0	1	24	45	2	16	1	246	340	284	624	38	310	21	11	285	79	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tampa Bay	—	172	154	24	3	1	0	17	41	1	12	2	156	244	188	432	32	212	24	10	218	34	—	—	—	—	—	—
2024	17	ROK RAW	DSL Tampa Bay	—	172	147	35	5	2	1	24	33	1	12	2	238	349	320	669	82	301	19	14	312	34	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	192	154	29	6	0	0	24	29	9	8	5	188	332	227	559	39	223	15	12	258	61	—	—	—	—	—	—
2025	18	ROK RAW	DSL Tampa Bay	—	192	144	39	8	0	0	34	24	9	8	5	271	439	326	765	56	312	12	18	358	61	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	259	222	50	4	0	1	32	65	2	17	2	225	328	257	585	32	310	25	12	267	67	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	259	205	56	5	0	1	49	46	2	17	2	273	418	312	730	39	344	18	19	345	67	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tampa Bay	—	172	152	24	3	1	0	17	41	1	12	2	158	244	191	435	33	223	24	10	218	34	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	192	157	29	6	0	0	24	29	9	8	5	185	332	223	554	38	207	15	12	258	61	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	259	223	50	4	0	1	32	65	2	17	2	224	328	256	584	31	293	25	12	267	67	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Tampa Bay	—	172	152	24	3	1	0	17	41	1	12	2	158	244	191	435	33	223	24	10	218	34	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	192	157	29	6	0	0	24	29	9	8	5	185	332	223	554	38	207	15	12	258	61	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	259	223	50	4	0	1	32	65	2	17	2	224	328	256	584	31	293	25	12	267	67	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TB	0%	369	326	69	12	2	2	36	89	4	7	2	210	295	278	574	68	279	24	10	266	66	-15	+1	+0	+7	+8	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TB	34%	208	184	40	7	1	2	20	49	2	4	1	216	301	300	602	84	280	24	10	277	74	-7	+0	+0	+4	+5	0.2
2029	22	MLB MLE	TB	48%	315	278	62	11	2	4	31	74	3	6	2	221	306	317	623	96	282	23	10	285	79	-8	+0	+0	+6	+7	0.5
2030	23	MLB MLE	TB	54%	392	347	77	13	2	6	38	91	4	8	2	224	309	329	638	105	284	23	10	291	83	-8	+1	+0	+7	+8	0.8
2031	24	MLB MLE	TB	55%	443	392	88	15	2	8	43	102	5	9	2	227	311	338	649	111	285	23	10	295	86	-8	+1	+0	+8	+10	1.1
2032	25	MLB MLE	TB	56%	445	394	90	16	2	8	43	103	5	8	2	229	312	344	656	115	285	23	10	297	87	-7	+1	+0	+8	+10	1.2
2033	26	MLB MLE	TB	56%	445	394	90	16	2	8	43	103	5	8	2	229	312	344	656	116	285	23	10	297	87	-7	+1	+0	+8	+10	1.2
2034	27	MLB MLE	TB	55%	445	394	89	16	2	8	43	103	5	8	2	227	311	341	652	114	284	23	10	296	86	-7	+1	+0	+8	+10	1.1
2035	28	MLB MLE	TB	55%	445	394	88	15	2	8	43	104	5	7	2	226	309	337	645	111	283	23	10	293	85	-8	+1	-1	+8	+10	1.0
2036	29	MLB MLE	TB	53%	445	395	88	15	2	8	43	105	4	7	2	223	306	330	636	107	282	24	10	289	82	-10	+1	-1	+8	+10	0.7
2037	30	MLB MLE	TB	57%	445	396	87	15	2	7	42	107	4	6	2	220	302	322	624	102	280	24	9	285	79	-11	+0	-2	+8	+10	0.5
2038	31	MLB MLE	TB	60%	426	379	82	14	2	6	40	104	4	5	3	216	297	312	609	96	277	24	9	279	75	-13	-0	-3	+8	+9	0.1
2039	32	MLB MLE	TB	61%	387	345	72	12	1	5	36	96	3	3	6	210	291	300	591	89	273	25	9	271	70	-14	-2	-4	+7	+8	-0.4
2028	21	MLB CTX	TB	34%	71	63	13	2	0	1	7	17	1	1	0	219	303	302	605	83	284	24	10	278	74	-2	+0	+0	+1	+2	0.1
2029	22	MLB CTX	TB	48%	153	135	30	5	1	2	15	36	2	3	1	223	308	318	625	95	286	24	10	286	79	-4	+0	+0	+3	+3	0.2
2030	23	MLB CTX	TB	54%	213	188	42	7	1	3	21	50	2	4	1	227	311	330	640	103	287	23	10	292	83	-4	+0	+0	+4	+5	0.5
2031	24	MLB CTX	TB	55%	246	217	49	8	1	4	24	57	3	5	1	229	313	338	651	109	288	23	10	296	86	-4	+1	+0	+4	+5	0.6
2032	25	MLB CTX	TB	56%	249	220	51	9	1	5	24	57	3	5	1	231	314	344	658	113	289	23	10	298	87	-4	+1	+0	+4	+5	0.7
2033	26	MLB CTX	TB	56%	250	221	51	9	1	5	24	58	3	5	1	231	314	344	658	114	288	23	10	298	87	-4	+1	+0	+4	+5	0.7
2034	27	MLB CTX	TB	55%	246	217	49	8	1	4	24	57	3	4	1	230	313	342	654	112	288	23	10	297	86	-4	+0	+0	+4	+5	0.6
2035	28	MLB CTX	TB	55%	244	216	48	8	1	4	24	57	2	4	1	228	311	337	647	109	287	23	10	294	85	-4	+0	-0	+4	+5	0.5
2036	29	MLB CTX	TB	53%	238	211	47	8	1	4	23	56	2	4	1	225	308	330	638	105	285	24	10	291	82	-5	+0	-1	+4	+5	0.4
2037	30	MLB CTX	TB	57%	254	226	50	8	1	4	24	61	2	3	1	222	304	322	627	100	283	24	9	286	79	-6	+0	-1	+5	+6	0.3
2038	31	MLB CTX	TB	60%	254	226	49	8	1	4	24	62	2	3	2	218	299	312	612	95	280	24	9	280	75	-8	-0	-2	+5	+6	0.1
2039	32	MLB CTX	TB	61%	237	211	45	7	1	3	22	59	2	2	3	212	293	300	593	88	276	25	9	272	70	-9	-1	-2	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2655	2351	524	87	11	43	256	627	27	43	14	223	306	324	630	101	284	24	10	290	78	-58	+3	-6	+47	+58	4.4
/ 162G	—	A+C		—	650	576	129	21	3	11	63	154	7	11	3	224	309	328	637	104	285	24	10	290	78	-14	+1	-2	+12	+14	1.1
Career	—	MLE		—	5617	4957	1085	183	24	80	553	1313	63	119	38	219	305	314	619	95	280	23	10	284	78	-112	+5	-10	+89	+108	8.1
/ 162G	—	MLE		—	650	574	125	21	3	9	64	152	7	14	4	218	304	312	616	94	278	23	10	284	78	-15	+1	-1	+12	+14	1.1

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 ROKFCL Rays · 212 PAwOBA .363 → .285 (−78)K% 14.6% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.62%	÷1.000	×1.440	—	—	21.06%
BB% (unintentional) /PA	18.40%	÷1.000	×0.620	—	×1.008	11.49%
HBP% /PA	0.94%	—	×0.720	—	×1.008	0.68%
Singles /BIP	32.85%	÷1.000	×0.820	×1.050	×1.008	28.49%
Doubles /BIP	3.65%	÷1.000	×0.720	×1.050	×1.008	2.78%
Triples /BIP	0.00%	÷1.000	×0.720	×1.050	×1.008	0.00%
Home runs /BIP	0.73%	÷1.000	×0.780	—	×1.008	0.57%

Factors used: level-wide ROK 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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .363 → .285; ISO .048 → .038; BABIP .362 → .310. 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).

2026 ACharleston RiverDogs · 47 PAwOBA .240 → .185 (−55)K% 31.9% → 43.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.91%	÷1.000	×1.360	—	—	43.40%
BB% (unintentional) /PA	21.28%	÷1.000	×0.690	—	×1.045	15.34%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	22.73%	÷1.000	×0.920	—	×1.045	21.85%
Doubles /BIP	0.00%	÷1.000	×0.830	—	×1.045	0.00%
Triples /BIP	0.00%	÷1.000	×0.910	—	×1.045	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.045	0.00%

Factors used: level-wide A 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 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).

Result: wOBA .240 → .185; ISO .000 → .000; BABIP .227 → .218. 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 Tampa Bay · 192 PAwOBA .359 → .258 (−102)K% 12.5% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷1.005	×1.220	—	—	15.18%
BB% (unintentional) /PA	17.71%	÷1.011	×0.700	—	×1.008	12.35%
HBP% /PA	4.69%	—	×0.700	—	×1.008	3.31%
Singles /BIP	25.83%	÷1.054	×0.680	×1.021	×1.008	17.14%
Doubles /BIP	6.67%	÷0.944	×0.600	×1.021	×1.008	4.36%
Triples /BIP	0.00%	÷1.150	×0.600	×1.021	×1.008	0.00%
Home runs /BIP	0.00%	÷0.952	×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 111, 2B 89, 3B 130, K 101, BB 102 — 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 ×1.021.

Result: wOBA .359 → .258; ISO .056 → .040; BABIP .312 → .207. 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 Tampa Bay · 172 PAwOBA .305 → .218 (−87)K% 19.2% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.19%	÷0.975	×1.220	—	—	24.01%
BB% (unintentional) /PA	13.95%	÷1.011	×0.700	—	×1.022	9.88%
HBP% /PA	0.58%	—	×0.700	—	×1.022	0.42%
Singles /BIP	23.68%	÷0.963	×0.680	×1.050	×1.022	17.96%
Doubles /BIP	4.39%	÷0.945	×0.600	×1.050	×1.022	2.99%
Triples /BIP	1.75%	÷0.900	×0.600	×1.050	×1.022	1.26%
Home runs /BIP	0.88%	÷0.982	×0.470	—	×1.022	0.43%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 93, 2B 89, 3B 80, K 95, 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 ×1.050.

Result: wOBA .305 → .218; ISO .082 → .052; BABIP .301 → .223. 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
#2Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#3Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#4Buck 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
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.2	2,807	45	46	223	303	327	+50	+28	6.5	5.8
/162	664	11	11	+11.9	+6.6	1.5	pk7: 5
#6Ben 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

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
Andres Torres (OGILVIE)	20	45	20	50	60	208/293/276	68	279	1	3	24%	10%	66	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Richi Sanchez 2015 · A	21	46	36→40	48→50	56	213/303/284	71	267	3	8	20%	11%	72	-0.7	201/263/273	72	258	3	7	22%	7%	53	-2.1	170/226/236	67	206	0	6	17%	6%	28	-0.9
✕Marco Vargas 2024 · A	19	45→46	37→40	50→60	57	208/302/289	81	267	4	13	22%	12%	72	-0.7	214/295/280	66	304	3	25	27%	10%	67	-1.1	220/295/283	63	320	3	36	29%	9%	65	-0.6
✕Enmanuel Terrero 2023 · A	20	46	37→45	47→55	56	216/300/287	72	267	3	12	19%	11%	71	-0.8	208/277/303	95	322	9	15	35%	8%	65	-1.2	191/260/285	94	305	11	18	38%	8%	53	-0.8
✕Alain Camou 2024 · A	20	46	35→30	44→50	50	215/284/281	66	275	2	7	21%	8%	63	-1.4	198/249/265	67	258	3	5	23%	6%	45	-2.7	142/168/182	41	171	0	0	16%	3%	-6	-1.2
✕Nelson Quiroz 2022 · A	20	45	36→40	47→40	50	208/277/284	76	258	2	4	19%	8%	61	-1.5	229/288/328	99	270	8	4	18%	7%	75	-0.5	263/309/325	62	294	2	0	11%	6%	77	-0.1
✕Dario Laverde 2024 · A	19	46→34	37→40	52→30	50	214/292/297	83	279	3	11	23%	9%	70	-0.9	207/268/284	77	295	4	4	29%	7%	57	-1.8	196/254/265	68	282	4	0	30%	6%	45	-1.6
✕Tayden Hall 2023 · A	20	48→49	38→40	50	45	222/290/308	86	313	4	6	28%	8%	71	-0.8	212/308/278	66	294	3	7	25%	11%	72	-0.7	187/301/283	96	257	7	9	27%	13%	70	-0.5
✕Anthony Seigler 2019 · A	20	45→40	38→45	48→55	50	214/284/293	79	268	6	5	22%	8%	66	-1.1	196/276/274	78	288	5	5	30%	9%	59	-1.7	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕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
✕Marcus Lemon 2008 · A	20	50→55	38→40	46→45	47	233/301/319	86	310	3	10	24%	8%	78	-0.3	248/302/338	90	307	5	8	20%	6%	82	-0.0	254/303/338	84	308	4	7	18%	6%	79	-0.2
✕Victor Rodrigues 2024 · A	19	42	37→30	47→50	51	198/275/273	75	246	5	10	21%	9%	58	-1.7	215/298/280	65	272	5	7	21%	10%	69	-0.9	213/306/263	50	270	4	5	20%	11%	66	-0.5
✕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
✕Luis Sanchez 2024 · A	20	45	36→30	51→50	56	210/304/275	65	259	4	13	19%	11%	70	-0.8	204/273/254	50	268	2	9	22%	8%	53	-2.1	200/266/236	36	262	1	9	22%	7%	43	-1.4
✕Yeniel Laboy 2024 · A	20	43	37→30	52→45	47	200/283/268	68	287	5	8	29%	9%	61	-1.5	199/274/263	64	285	4	7	29%	8%	55	-1.9	166/248/183	18	241	0	3	28%	9%	26	-1.3
✕Juan Mosquera 2008 · A	20	43	33→30	48→55	58	195/304/239	44	264	1	17	24%	12%	63	-1.3	192/270/239	47	254	2	11	23%	9%	49	-2.4	181/239/208	28	219	0	9	16%	7%	26	-1.0
✕Livan Soto 2021 · A	21	43→53	35→40	46→50	48	203/262/259	56	253	3	8	20%	7%	49	-2.4	215/278/306	91	295	7	11	27%	8%	66	-1.1	246/319/331	85	322	6	8	24%	9%	86	+0.2
✕Kelvin Alarcon 2019 · A	20	43	35→30	48→55	54	197/295/255	58	274	3	8	26%	11%	63	-1.4	211/273/274	63	328	3	8	33%	7%	57	-1.8	202/264/238	35	318	0	8	34%	8%	43	-0.6
✕David Martin 2023 · A	22	45	39→30	49→30	42	211/284/299	89	296	5	7	29%	6%	68	-1.0	224/307/292	68	280	4	4	20%	9%	75	-0.5	244/339/302	58	293	4	1	16%	10%	87	+0.2
✕Yeison Santana 2021 · A	20	47	38→30	46→55	47	219/292/305	85	301	5	7	27%	8%	72	-0.7	211/278/272	61	315	3	14	31%	8%	59	-1.7	204/280/246	42	302	2	19	30%	8%	51	-0.9
✕Tucker Barnhart 2011 · A	20	47→53	35→45	48→40	45	217/281/283	66	304	2	7	28%	8%	62	-1.4	230/289/313	83	297	4	3	22%	8%	72	-0.7	241/315/366	125	285	12	2	19%	9%	93	+0.6

Andres Torres

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps