Rafhlmil Torres

SS Daytona Tortugas

Age 21 S/R 5'11" / 150 lbs A HR +16%BB +6% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKCIN	177	.204/.335/.306	2	13	15	—	.123/.227/.181
2025	19	A/ROKCIN	229	.240/.354/.406	4	11	57	—	.185/.279/.305
2026	20	ACIN	518	.251/.344/.323	2	16	61	—	.227/.299/.290
2027PROJMLE	21	MLBCIN	587	.185/.259/.251	3	11	47	-0.5
2028PROJ34% MLB	22	MLBCIN	163	.194/.268/.278	2	3	55	-0.4
2029PROJ48% MLB	23	MLBCIN	255	.200/.275/.298	4	5	62	-0.4

Next 3 projected WAR -1.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

K%75

Whiff%70

Z-Con%66

Speed56

BB%46

Max EV19

Career WAR0.0 WAR median (P10 -0.1 / P90 3.3, comp-based) · star 0% · didn't stick 88%

CompsJhon Nuñez (age 21) · Chris Garia (age 21) · Terry Serrano (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†47

AVG/OBP/SLG.184 / .257 / .249

PA210

HR1

K%24

BB%7

ISO66

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 40 / POW 35

Toolsscout grade

CONTACT40

scouting grade only

POWER35

scouting grade only

EYE35

scouting grade only

SPEED50

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	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 Reds	—	197	162	42	7	2	0	27	30	4	8	3	259	376	327	703	68	313	15	14	324	41	—	—	—	—	—	—
2024	18	ROK	DSL Reds	—	177	147	30	7	1	2	25	16	4	13	6	204	335	306	641	102	215	9	14	301	15	—	—	—	—	—	—
2025	19	A	Daytona Tortugas	—	50	41	11	3	0	1	7	4	2	3	3	268	400	415	815	146	278	8	14	372	95	—	—	—	—	—	—
2025	19	ROK	ACL Reds	—	179	151	35	9	4	3	18	23	7	8	4	232	341	404	745	172	250	13	10	330	47	—	—	—	—	—	—
2026	20	A	Daytona Tortugas	—	518	446	112	24	1	2	54	93	9	16	9	251	344	323	667	72	310	18	10	305	61	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Reds	—	197	171	31	5	1	0	19	37	4	8	3	181	278	222	501	41	219	19	10	229	41	—	—	—	—	—	—
2024	18	ROK MLE	DSL Reds	—	177	155	19	4	1	1	17	20	4	13	6	123	227	181	408	58	132	11	10	191	15	—	—	—	—	—	—
2025	19	A MLE	Daytona Tortugas	—	50	43	10	2	0	1	5	5	2	3	3	233	340	349	689	116	252	10	10	309	95	—	—	—	—	—	—
2025	19	ROK MLE	ACL Reds	—	179	157	27	7	3	2	12	33	7	8	4	172	261	293	554	121	191	18	7	238	47	—	—	—	—	—	—
2026	20	A MLE	Daytona Tortugas	—	518	462	105	21	1	2	38	126	9	16	9	227	299	290	589	63	294	24	7	258	61	—	—	—	—	—	—
2023	17	ROK MLE	DSL Reds	—	197	171	31	5	1	0	19	37	4	8	3	181	278	222	501	41	228	19	10	229	41	—	—	—	—	—	—
2023	17	ROK RAW	DSL Reds	—	197	162	42	7	2	0	27	30	4	8	3	259	376	327	703	68	313	15	14	324	41	—	—	—	—	—	—
2024	18	ROK MLE	DSL Reds	—	177	155	19	4	1	1	17	20	4	13	6	123	227	181	408	58	133	11	10	191	15	—	—	—	—	—	—
2024	18	ROK RAW	DSL Reds	—	177	147	30	7	1	2	25	16	4	13	6	204	335	306	641	102	215	9	14	301	15	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	229	200	37	9	3	3	17	38	9	11	7	185	279	305	584	120	210	17	7	254	58	—	—	—	—	—	—
2025	19	ROK RAW	2 teams	—	229	192	46	12	4	4	25	27	9	11	7	240	354	406	760	167	256	12	11	340	58	—	—	—	—	—	—
2026	20	A MLE	Daytona Tortugas	—	518	462	105	21	1	2	38	126	9	16	9	227	299	290	589	63	305	24	7	258	61	—	—	—	—	—	—
2026	20	A RAW	Daytona Tortugas	—	518	446	112	24	1	2	54	93	9	16	9	251	344	323	667	72	310	18	10	305	61	—	—	—	—	—	—
2023	17	ROK MLE	DSL Reds	—	197	172	31	5	1	0	19	37	4	8	3	180	278	221	499	41	219	19	10	229	41	—	—	—	—	—	—
2024	18	ROK MLE	DSL Reds	—	177	154	19	4	1	1	17	20	4	13	6	123	227	182	409	58	132	11	10	191	15	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	229	201	37	9	3	3	17	38	9	11	7	184	279	303	582	119	204	17	7	254	58	—	—	—	—	—	—
2026	20	A MLE	Daytona Tortugas	—	518	466	105	21	1	2	38	126	9	16	9	225	299	288	586	62	294	24	7	258	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Reds	—	177	154	19	4	1	1	17	20	4	13	6	123	227	182	409	58	132	11	10	191	15	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	229	201	37	9	3	3	17	38	9	11	7	184	279	303	582	119	204	17	7	254	58	—	—	—	—	—	—
2026	20	A MLE	Daytona Tortugas	—	518	466	105	21	1	2	38	126	9	16	9	225	299	288	586	62	294	24	7	258	61	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	CIN	0%	587	529	98	21	2	3	43	138	10	11	6	185	259	251	511	66	242	24	7	237	47	-37	-0	+0	+6	+13	-0.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	CIN	34%	473	427	83	17	2	5	35	109	8	9	5	193	267	275	542	82	245	23	7	250	55	-25	-0	+0	+5	+10	-1.0
2029	23	MLB MLE	CIN	48%	526	472	94	19	2	7	40	120	9	11	5	199	274	294	567	95	248	23	8	260	62	-24	+0	+0	+6	+11	-0.7
2030	24	MLB MLE	CIN	53%	560	503	102	20	2	9	43	127	9	11	6	204	279	307	586	104	251	23	8	267	67	-22	-0	+0	+6	+12	-0.4
2031	25	MLB MLE	CIN	55%	578	519	107	21	2	10	45	130	9	11	6	207	282	316	598	109	253	22	8	272	70	-20	-0	+0	+6	+13	-0.2
2032	26	MLB MLE	CIN	56%	590	530	110	22	2	11	46	133	9	11	6	209	284	322	606	113	255	23	8	275	72	-19	-0	+0	+6	+13	-0.1
2033	27	MLB MLE	CIN	55%	590	529	110	22	2	11	47	134	9	11	6	208	283	319	602	111	255	23	8	274	71	-20	-0	+0	+6	+13	-0.1
2034	28	MLB MLE	CIN	55%	582	522	107	21	2	10	46	133	9	9	5	206	281	315	596	109	254	23	8	271	70	-21	-0	-1	+6	+13	-0.3
2028	22	MLB CTX	CIN	34%	163	147	29	6	1	2	12	38	3	3	2	194	268	278	546	84	245	23	7	251	55	-9	-0	+0	+2	+4	-0.4
2029	23	MLB CTX	CIN	48%	255	230	46	9	1	4	19	58	4	5	3	200	275	298	573	98	249	23	7	262	62	-12	-0	+0	+3	+6	-0.4
2030	24	MLB CTX	CIN	53%	295	265	55	11	1	5	23	67	5	6	3	205	280	313	593	107	252	23	8	270	67	-12	+0	+0	+3	+6	-0.2
2031	25	MLB CTX	CIN	55%	316	283	58	11	1	6	25	71	5	6	3	209	283	322	606	114	254	22	8	275	70	-11	+0	+0	+3	+7	-0.1
2032	26	MLB CTX	CIN	56%	328	294	62	12	1	7	26	74	5	6	3	211	286	328	614	117	256	23	8	278	72	-11	+0	+0	+4	+7	-0.0
2033	27	MLB CTX	CIN	55%	325	291	61	12	1	6	26	74	5	6	3	210	285	325	610	116	255	23	8	277	71	-11	+0	+0	+3	+7	-0.1
2034	28	MLB CTX	CIN	55%	318	285	59	11	1	6	25	73	5	5	3	208	283	321	603	113	255	23	8	274	70	-11	-0	-0	+3	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2000	1795	370	72	7	36	156	455	32	37	20	206	281	314	596	108	254	23	8	271	63	-76	-1	-0	+21	+43	-1.3
/ 162G	—	A+C		—	650	583	120	23	2	12	51	148	10	12	6	206	281	314	595	108	253	23	8	271	63	-25	-0	-0	+7	+14	-0.4
Career	—	MLE		—	5230	4679	940	188	21	70	408	1156	92	125	66	201	278	295	573	94	250	22	8	261	63	-166	-1	-1	+44	+89	-3.5
/ 162G	—	MLE		—	650	582	117	23	3	9	51	144	11	16	8	201	278	297	575	96	249	22	8	261	63	-26	-0	-0	+7	+14	-0.6

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 ADaytona Tortugas · 518 PAwOBA .300 → .258 (−41)K% 18.0% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.95%	÷1.000	×1.360	—	—	24.42%
BB% (unintentional) /PA	10.42%	÷1.000	×0.690	—	×1.015	7.30%
HBP% /PA	1.74%	—	×0.780	—	×1.015	1.38%
Singles /BIP	24.08%	÷1.000	×0.920	×1.038	×1.015	23.35%
Doubles /BIP	6.80%	÷1.000	×0.830	×1.038	×1.015	5.95%
Triples /BIP	0.28%	÷1.000	×0.910	×1.038	×1.015	0.27%
Home runs /BIP	0.57%	÷1.000	×0.800	—	×1.015	0.46%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .300 → .258; ISO .072 → .061; BABIP .310 → .294. 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 ROKACL Reds · 179 PAwOBA .328 → .238 (−90)K% 12.8% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.85%	÷1.010	×1.440	—	—	18.32%
BB% (unintentional) /PA	10.06%	÷0.931	×0.620	—	×0.995	6.66%
HBP% /PA	3.91%	—	×0.720	—	×0.995	2.80%
Singles /BIP	14.84%	÷1.039	×0.820	×1.022	×0.995	11.92%
Doubles /BIP	7.03%	÷0.963	×0.720	×1.022	×0.995	5.35%
Triples /BIP	3.12%	÷1.150	×0.720	×1.022	×0.995	1.99%
Home runs /BIP	2.34%	÷1.252	×0.780	—	×0.995	1.45%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 150, 1B 108, 2B 93, 3B 130, K 102, BB 86 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .328 → .238; ISO .172 → .117; BABIP .250 → .191. 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 ADaytona Tortugas · 50 PAwOBA .363 → .309 (−54)K% 8.0% → 10.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.00%	÷1.008	×1.360	—	—	10.80%
BB% (unintentional) /PA	14.00%	÷0.956	×0.690	—	×1.030	10.41%
HBP% /PA	4.00%	—	×0.780	—	×1.030	3.21%
Singles /BIP	18.92%	÷0.980	×0.920	—	×1.030	18.30%
Doubles /BIP	8.11%	÷1.088	×0.830	—	×1.030	6.37%
Triples /BIP	0.00%	÷1.000	×0.910	—	×1.030	0.00%
Home runs /BIP	2.70%	÷1.032	×0.800	—	×1.030	2.16%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 96, 2B 118, 3B 100, K 102, BB 91 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average).

Result: wOBA .363 → .309; ISO .146 → .118; BABIP .278 → .252. 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 Reds · 177 PAwOBA .293 → .191 (−103)K% 9.0% → 11.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.04%	÷0.957	×1.220	—	—	11.52%
BB% (unintentional) /PA	13.56%	÷0.994	×0.700	—	×0.995	9.50%
HBP% /PA	2.26%	—	×0.700	—	×0.995	1.57%
Singles /BIP	15.27%	÷1.068	×0.680	×0.977	×0.995	9.46%
Doubles /BIP	5.34%	÷0.960	×0.600	×0.977	×0.995	3.25%
Triples /BIP	0.76%	÷0.901	×0.600	×0.977	×0.995	0.49%
Home runs /BIP	1.53%	÷1.136	×0.470	—	×0.995	0.63%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 127, 1B 114, 2B 92, 3B 80, K 91, 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 ×0.977.

Result: wOBA .293 → .191; ISO .102 → .057; BABIP .215 → .132. 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 Reds · 197 PAwOBA .320 → .229 (−91)K% 15.2% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.23%	÷0.988	×1.220	—	—	18.81%
BB% (unintentional) /PA	13.71%	÷1.026	×0.700	—	×1.008	9.42%
HBP% /PA	2.03%	—	×0.700	—	×1.008	1.43%
Singles /BIP	25.00%	÷1.015	×0.680	×1.050	×1.008	17.71%
Doubles /BIP	5.30%	÷0.975	×0.600	×1.050	×1.008	3.45%
Triples /BIP	1.52%	÷0.900	×0.600	×1.050	×1.008	1.07%
Home runs /BIP	0.00%	÷0.917	×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 83, 1B 103, 2B 95, 3B 80, K 98, BB 105 — 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 ×1.050.

Result: wOBA .320 → .229; ISO .068 → .048; BABIP .313 → .219. 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
#1Ronny 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
#2Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
#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
#4Enzo Hernandez'71-'78 * career totals — 6 seasons, 2,612 PA	3.9	2,612	2	129	222*	281*	294*	+28	+4	1.6	1.9
/162	664	1	33	+7.0	+1.0	0.4	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.3	2,210	35	41	204	275	306	+24	+15	-0.3	0.1
/162	664	10	12	+7.1	+4.5	-0.1	pk7: 1
#5Johnnie LeMaster'75-'87 * career totals — 11 seasons, 3,515 PA	5.3	3,515	22	94	218*	275*	313*	+37	-13	-3.1	-0.9
/162	664	4	18	+7.0	-2.4	-0.6	pk7: 1
#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
Rafhlmil Torres (OGILVIE)	21	40	35	50	35	184/257/249	65	242	1	4	24%	7%	47	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jhon Nuñez 2016 · A	21	43	36→40	47→50	48	200/262/267	66	248	2	10	19%	7%	51	-2.2	227/272/309	82	300	5	8	25%	5%	64	-1.3	233/277/313	80	297	7	10	23%	4%	65	-0.5
✕Chris Garia 2014 · A	21	40→50	35→40	51→60	41	189/242/247	59	252	2	17	25%	5%	39	-3.1	229/269/329	100	306	7	28	26%	4%	68	-1.0	233/273/343	109	307	8	32	26%	4%	68	-0.6
✕Terry Serrano 2009 · A	22	39	35→30	50→55	46	183/246/241	59	240	2	15	24%	7%	40	-3.1	207/288/279	72	316	3	15	32%	10%	64	-1.3	204/311/268	64	327	2	21	33%	13%	68	-0.5
✕Noah Miller 2024 · A	21	40→47	38→40	51→50	47	191/267/270	79	268	5	11	29%	9%	55	-2.0	217/269/299	82	278	6	6	23%	7%	61	-1.5	224/272/309	85	279	7	4	21%	6%	63	-1.2
✕Joseph Rosa 2018 · A	21	46→45	37→40	52→50	46	216/268/293	77	264	4	16	19%	6%	59	-1.7	200/263/272	72	289	5	10	30%	7%	53	-2.1	206/281/301	95	299	7	14	31%	8%	65	-0.8
✕Arquímedes Gamboa 2019 · A	21	43→44	37→40	48→50	45	203/266/276	74	281	5	7	28%	8%	55	-1.9	190/267/267	77	281	5	14	31%	9%	54	-2.0	202/287/292	90	293	7	15	31%	10%	64	-0.7
✕Carlos Garcia 2013 · A	21	45→50	35→40	50→55	47	210/267/270	61	257	3	16	19%	7%	53	-2.1	237/284/307	70	299	4	20	21%	5%	68	-1.0	244/292/314	69	308	3	28	21%	5%	69	-0.5
✕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
✕Jhoan Urena 2016 · A	21	43→48	37→45	52→45	41	204/246/279	74	269	4	7	25%	5%	47	-2.5	214/270/326	112	292	11	6	29%	7%	68	-1.0	216/275/335	120	297	12	5	30%	7%	69	-0.7
✕Angel Franco 2011 · A	21	47→50	36→40	48→50	45	222/269/287	65	276	3	12	21%	6%	57	-1.8	236/278/322	86	275	6	7	16%	5%	69	-0.9	245/284/333	88	284	6	8	15%	5%	70	-0.5
✕Geraldo Quintero 2022 · A	20	38→47	35→40	52→60	47	181/251/244	63	237	2	17	23%	8%	42	-2.9	216/281/305	89	285	5	23	24%	7%	68	-1.0	218/285/304	87	285	5	28	24%	7%	66	-0.9
✕Frainyer Chavez 2021 · A	22	44→47	36→40	50	44	210/266/274	64	282	3	15	26%	7%	54	-2.0	207/274/272	65	290	4	11	28%	8%	57	-1.8	223/291/306	84	291	8	18	25%	8%	69	-0.7
✕Ronald Bueno 2014 · A	21	43	35→40	52→50	51	199/262/266	67	238	2	11	17%	8%	51	-2.3	214/267/287	73	286	2	10	24%	6%	57	-1.8	215/271/288	73	293	2	10	26%	7%	57	-0.8
✕Jean Walters 2023 · A	21	40	34→40	48→45	38	192/235/244	52	279	2	8	31%	5%	35	-3.4	210/250/284	74	285	4	6	26%	5%	50	-2.3	214/261/301	87	283	6	5	26%	6%	55	-1.0
✕Yonathan Mendoza 2015 · A	21	46	35→30	46→45	50	216/280/274	58	267	2	8	19%	8%	59	-1.6	244/296/307	63	293	3	6	17%	7%	72	-0.7	255/305/308	53	303	3	5	16%	6%	75	-0.3
✕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
✕Jose Herrera 2018 · A	21	43	39→40	44→40	45	206/254/292	86	252	6	3	21%	6%	54	-2.0	204/270/292	88	268	6	4	25%	8%	60	-1.6	214/297/304	90	284	9	3	26%	10%	72	-0.4
✕Robi Estrada 2010 · A	21	43	36→40	46→50	39	207/237/270	63	264	3	7	23%	4%	41	-3.0	213/269/276	63	276	3	11	22%	7%	56	-1.9	215/263/301	86	262	7	9	20%	6%	56	-0.6
✕Angelo Mora 2014 · A	21	41→51	36→45	48→45	41	198/241/266	68	262	4	13	26%	5%	42	-2.9	228/270/315	87	306	4	6	25%	5%	64	-1.3	259/294/363	103	333	5	4	23%	4%	81	-0.0
✕Victor Cruzado 2013 · A	21	39→48	36→40	47→45	52	184/266/256	71	244	3	10	24%	10%	51	-2.3	218/286/313	95	287	6	6	24%	8%	71	-0.8	223/291/325	102	293	6	4	24%	8%	74	-0.3

Rafhlmil Torres

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps