Aaron Pinero

SS FCL Rays

Age 20 R/R 5'9" / 180 lbs ROK HR -6%H +4% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1006ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKTB	167	.234/.335/.276	0	5	17	—	.147/.234/.167
2025	18	ROKDSL Tampa Bay	179	.262/.409/.383	2	13	51	—	.162/.295/.230
2026	19	ROKTB	124	.290/.459/.462	4	11	97	—	.228/.361/.356
2027PROJMLE	20	MLBTB	234	.215/.291/.303	3	5	70	0.0
2028PROJ34% MLB	21	MLBTB	41	.221/.298/.318	1	1	75	0.0
2029PROJ48% MLB	22	MLBTB	101	.225/.301/.329	2	2	79	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 2026 Rk

Z-Con%99

wOBA97

wRC+96

K%96

ISO86

BB%84

Career WAR0.0 WAR median (P10 0.0 / P90 4.6, comp-based) · star 3% · didn't stick 87%

CompsDerrik Gibson (age 20) · Jesus Hernandez (age 20) · Gilberto Celestino (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 64 proj PA

wRC+†70

AVG/OBP/SLG.213 / .289 / .300

PA64

HR1

K%24

BB%8

ISO88

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 45 / POW 30

Toolsscout grade

CONTACT45

scouting grade only

POWER30

scouting grade only

EYE50

scouting grade only

SPEED60

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	+0.4	$0.9M	+$0.5M
2035	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2036	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-2	$1M	—	—	—
2038	Arb-3	$0.6M	—	—	—
Totals		$3M		$3M	+$1M

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)
2024	17	ROK	DSL Rays	—	167	145	34	6	0	0	17	29	5	5	1	234	335	276	611	41	293	17	10	291	17	—	—	—	—	—	—
2025	18	ROK	DSL Tampa Bay	—	179	141	37	11	0	2	24	30	11	13	1	262	409	383	792	121	312	17	13	362	51	—	—	—	—	—	—
2026	19	ROK	FCL Rays	—	124	93	27	2	1	4	22	15	7	11	1	290	459	462	921	172	303	12	18	412	97	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Rays	—	167	150	22	3	0	0	12	35	5	5	1	147	234	167	400	20	197	21	7	194	17	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	179	148	24	7	0	1	17	37	11	13	1	162	295	230	525	68	198	21	9	244	51	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	124	101	23	2	1	3	14	22	7	11	1	228	361	356	717	129	236	18	11	312	97	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rays	—	167	150	22	3	0	0	12	35	5	5	1	147	234	167	400	20	191	21	7	194	17	—	—	—	—	—	—
2024	17	ROK RAW	DSL Rays	—	167	145	34	6	0	0	17	29	5	5	1	234	335	276	611	41	293	17	10	291	17	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	179	148	24	7	0	1	17	37	11	13	1	162	295	230	525	68	204	21	9	244	51	—	—	—	—	—	—
2025	18	ROK RAW	DSL Tampa Bay	—	179	141	37	11	0	2	24	30	11	13	1	262	409	383	792	121	312	17	13	362	51	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	124	101	23	2	1	3	14	22	7	11	1	228	361	356	717	129	256	18	11	312	97	—	—	—	—	—	—
2026	19	ROK RAW	FCL Rays	—	124	93	27	2	1	4	22	15	7	11	1	290	459	462	921	172	303	12	18	412	97	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rays	—	167	148	22	3	0	0	12	35	5	5	1	149	234	169	402	20	197	21	7	194	17	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	179	149	24	7	0	1	17	37	11	13	1	161	295	228	524	67	198	21	9	244	51	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	124	102	23	2	1	3	14	22	7	11	1	225	361	353	714	127	236	18	11	312	97	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Rays	—	167	148	22	3	0	0	12	35	5	5	1	149	234	169	402	20	197	21	7	194	17	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	179	149	24	7	0	1	17	37	11	13	1	161	295	228	524	67	198	21	9	244	51	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	124	102	23	2	1	3	14	22	7	11	1	225	361	353	714	127	236	18	11	312	97	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TB	0%	234	210	45	8	1	3	18	56	4	5	1	215	291	303	594	88	277	24	8	272	70	-8	+1	+0	+3	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TB	34%	118	106	24	4	1	2	9	28	2	3	1	219	296	317	613	98	279	24	8	280	75	-3	+0	+0	+1	+3	0.1
2029	22	MLB MLE	TB	48%	208	185	41	7	1	3	17	49	4	5	1	222	299	328	628	106	281	24	8	285	79	-5	+1	+0	+2	+5	0.2
2030	23	MLB MLE	TB	54%	303	271	61	11	2	5	24	71	5	7	2	225	302	337	639	112	282	23	8	290	82	-6	+1	+0	+3	+7	0.4
2031	24	MLB MLE	TB	55%	377	336	77	14	2	7	31	87	7	9	2	227	304	344	648	116	284	23	8	293	84	-7	+1	+0	+4	+8	0.6
2032	25	MLB MLE	TB	56%	418	374	85	15	2	8	34	97	7	10	2	229	305	348	653	119	284	23	8	295	86	-7	+1	+0	+4	+9	0.8
2033	26	MLB MLE	TB	56%	441	395	91	16	3	9	36	102	7	11	3	229	305	348	653	119	284	23	8	295	86	-7	+1	+0	+5	+10	0.8
2034	27	MLB MLE	TB	55%	451	403	92	16	3	9	37	105	8	11	3	227	304	345	649	118	283	23	8	294	85	-8	+1	+0	+5	+10	0.8
2035	28	MLB MLE	TB	55%	451	404	90	16	2	8	37	106	7	10	3	226	302	341	643	115	283	24	8	291	83	-9	+1	-1	+5	+10	0.6
2036	29	MLB MLE	TB	53%	444	398	89	16	2	8	36	106	7	9	3	223	300	335	634	111	281	24	8	288	81	-10	+1	-1	+5	+10	0.3
2037	30	MLB MLE	TB	57%	434	389	85	15	2	7	35	105	7	8	3	221	296	327	624	107	280	24	8	283	78	-11	+0	-2	+5	+9	0.1
2038	31	MLB MLE	TB	60%	417	375	81	14	2	7	33	102	6	7	3	217	292	318	609	101	277	24	8	277	74	-13	+0	-3	+4	+9	-0.2
2028	21	MLB CTX	TB	34%	41	37	8	1	0	1	3	10	1	1	0	221	298	318	616	97	283	24	7	281	75	-1	+0	+0	+0	+1	0.0
2029	22	MLB CTX	TB	48%	101	90	21	3	1	2	8	24	2	2	1	225	301	329	630	104	284	24	8	287	79	-2	+0	+0	+1	+2	0.1
2030	23	MLB CTX	TB	54%	164	147	34	6	1	3	13	38	3	4	1	227	304	337	641	110	286	23	8	291	82	-3	+0	+0	+2	+4	0.2
2031	24	MLB CTX	TB	55%	209	186	42	7	1	4	17	49	4	5	1	230	306	344	650	114	287	23	8	294	84	-4	+1	+0	+2	+5	0.4
2032	25	MLB CTX	TB	56%	234	209	47	8	1	4	19	54	4	6	1	231	307	348	655	117	287	23	8	296	86	-4	+1	+0	+3	+5	0.5
2033	26	MLB CTX	TB	56%	248	222	52	9	2	5	20	57	4	6	1	231	307	348	655	117	287	23	8	296	86	-4	+1	+0	+3	+5	0.5
2034	27	MLB CTX	TB	55%	249	223	51	9	1	5	20	58	4	6	2	230	306	345	651	116	287	23	8	295	85	-4	+0	+0	+3	+5	0.4
2035	28	MLB CTX	TB	55%	247	221	50	9	1	4	20	58	4	5	1	228	304	341	645	113	286	23	8	292	83	-5	+1	-0	+3	+5	0.3
2036	29	MLB CTX	TB	53%	237	212	47	8	1	4	19	56	4	5	1	226	301	335	636	109	285	24	8	289	81	-5	+1	-1	+3	+5	0.2
2037	30	MLB CTX	TB	57%	248	222	49	8	1	4	20	60	4	5	2	223	298	328	626	105	283	24	8	284	78	-7	+0	-1	+3	+5	0.0
2038	31	MLB CTX	TB	60%	248	222	48	8	1	4	20	61	4	4	2	219	293	318	612	100	281	25	8	279	74	-8	+0	-2	+3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2226	1991	449	76	11	40	179	525	38	49	13	226	302	335	637	109	285	24	8	290	78	-48	+5	-4	+24	+48	2.5
/ 162G	—	A+C		—	650	581	131	22	3	12	52	153	11	14	4	225	301	336	636	110	284	24	8	290	78	-14	+1	-1	+7	+14	0.7
Career	—	MLE		—	4596	4093	897	158	23	78	377	1067	91	120	29	219	299	326	625	107	275	23	8	284	78	-91	+8	-7	+44	+89	4.5
/ 162G	—	MLE		—	650	579	126	22	3	11	53	151	13	17	4	218	298	323	621	105	273	23	8	284	78	-14	+1	-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 ROKFCL Rays · 124 PAwOBA .409 → .312 (−97)K% 12.1% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.10%	÷1.000	×1.440	—	—	17.42%
BB% (unintentional) /PA	17.74%	÷1.000	×0.620	—	×1.008	11.08%
HBP% /PA	5.65%	—	×0.720	—	×1.008	4.09%
Singles /BIP	25.64%	÷1.000	×0.820	×0.970	×1.008	20.54%
Doubles /BIP	2.56%	÷1.000	×0.720	×0.970	×1.008	1.80%
Triples /BIP	1.28%	÷1.000	×0.720	×0.970	×1.008	0.90%
Home runs /BIP	5.13%	÷1.000	×0.780	—	×1.008	4.03%

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 ×0.970.

Result: wOBA .409 → .312; ISO .172 → .141; BABIP .303 → .236. 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 · 179 PAwOBA .360 → .244 (−116)K% 16.8% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.76%	÷1.005	×1.220	—	—	20.35%
BB% (unintentional) /PA	13.41%	÷1.011	×0.700	—	×1.008	9.35%
HBP% /PA	6.15%	—	×0.700	—	×1.008	4.33%
Singles /BIP	21.62%	÷1.054	×0.680	×0.987	×1.008	13.87%
Doubles /BIP	9.91%	÷0.944	×0.600	×0.987	×1.008	6.27%
Triples /BIP	0.00%	÷1.150	×0.600	×0.987	×1.008	0.00%
Home runs /BIP	1.80%	÷0.952	×0.470	—	×1.008	0.90%

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 ×0.987.

Result: wOBA .360 → .244; ISO .121 → .075; BABIP .312 → .198. 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 Rays · 167 PAwOBA .284 → .194 (−90)K% 17.4% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.37%	÷1.004	×1.220	—	—	21.09%
BB% (unintentional) /PA	10.18%	÷0.985	×0.700	—	×1.022	7.40%
HBP% /PA	2.99%	—	×0.700	—	×1.022	2.14%
Singles /BIP	24.14%	÷0.994	×0.680	×0.990	×1.022	16.72%
Doubles /BIP	5.17%	÷1.053	×0.600	×0.990	×1.022	2.98%
Triples /BIP	0.00%	÷0.900	×0.600	×0.990	×1.022	0.00%
Home runs /BIP	0.00%	÷1.160	×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 132, 1B 99, 2B 111, 3B 80, K 101, BB 97 — 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 ×0.990.

Result: wOBA .284 → .194; ISO .041 → .024; BABIP .293 → .197. 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 7 projected seasons	3.4	2,291	41	50	225	298	338	+25	+21	4.2	3.9
/162	664	12	15	+7.1	+6.1	1.2	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
Aaron Pinero (OGILVIE)	20	45	30	60	50	213/289/300	88	277	1	1	24%	8%	70	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Derrik Gibson 2010 · A	20	48→56	37→40	56→55	45	224/290/300	76	303	3	16	26%	7%	70	-0.9	206/266/261	55	280	1	18	25%	7%	51	-2.3	246/312/318	73	319	3	11	22%	8%	79	-0.1
✕Jesus Hernandez 2024 · A	20	42	37→40	51→55	53	199/281/271	72	257	5	13	23%	10%	60	-1.6	199/278/287	88	284	6	18	29%	9%	63	-1.4	199/280/289	90	282	6	24	29%	9%	62	-0.7
✕Gilberto Celestino 2019 · A	20	43→53	38→45	52→55	42	209/257/289	80	280	6	12	27%	6%	54	-2.0	226/281/328	102	291	8	8	24%	7%	72	-0.7	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕Cristofer Torin 2024 · A	19	46→55	38→40	54→50	54	219/299/292	73	262	5	19	18%	9%	72	-0.7	235/310/323	88	290	7	11	20%	9%	82	+0.0	243/315/341	98	290	8	10	18%	9%	86	+0.3
✕Tito Polo 2015 · A	20	43→53	39→45	54→60	42	206/268/296	90	278	5	17	27%	6%	61	-1.5	222/276/320	98	295	8	26	26%	5%	69	-0.9	235/290/350	114	311	11	32	27%	5%	78	-0.2
✕Glenn Santiago 2021 · A	20	41	36→40	54→45	48	191/268/264	73	243	2	13	21%	8%	54	-2.0	204/266/293	89	275	7	9	27%	7%	59	-1.6	185/249/263	77	271	7	8	32%	7%	44	-1.1
✕Onil Perez 2024 · A	21	48	37→40	55	47	227/281/308	80	278	4	16	19%	6%	68	-1.0	216/286/290	74	269	4	16	20%	8%	66	-1.1	204/282/270	67	252	4	16	19%	8%	59	-0.7
✕Adan Velazquez 2010 · A	20	41→51	40→45	53→50	45	197/263/292	95	245	6	11	22%	6%	58	-1.7	203/256/288	85	282	5	10	28%	5%	54	-2.0	254/293/350	97	308	8	4	20%	4%	79	-0.1
✕Spence Coffman 2024 · A	20	45	36→30	54→55	44	207/272/277	70	305	3	10	31%	8%	57	-1.8	213/266/269	56	294	2	15	26%	6%	53	-2.1	219/269/249	30	290	0	22	23%	6%	47	-1.0
✕Robert Gonzalez 2021 · A	20	40	39→40	54→60	52	186/296/275	89	275	5	8	30%	12%	68	-1.0	190/293/264	74	252	5	17	24%	10%	64	-1.3	151/292/187	36	182	3	30	16%	14%	48	-0.8
✕Frank Frias 2014 · A	20	44	37→30	52→55	48	205/293/280	76	289	5	20	28%	9%	68	-1.0	219/288/306	87	317	6	13	30%	8%	70	-0.8	227/294/318	91	329	7	13	31%	8%	71	-0.2
✕Yorberto Mejicano 2021 · A	20	44	36→45	53→45	48	207/271/275	68	270	3	10	23%	8%	57	-1.8	225/279/332	107	302	11	8	28%	6%	73	-0.6	213/267/311	98	282	10	9	27%	6%	61	-0.6
✕Nick Allen 2019 · A	20	43→53	35→40	52→50	42	200/249/258	58	260	2	14	23%	5%	44	-2.8	223/272/312	89	287	5	14	23%	6%	65	-1.2	253/316/328	75	310	5	13	19%	8%	84	+0.1
✕Johan Rojas 2021 · A	20	46→56	37→45	51→65	45	215/269/298	83	268	3	11	20%	6%	61	-1.5	227/275/338	111	290	9	31	24%	5%	72	-0.7	260/302/359	100	326	7	41	21%	5%	85	+0.2
✕Abiatal Avelino 2015 · A	20	48→54	37→45	54→55	45	226/278/307	81	281	4	18	20%	6%	66	-1.1	236/280/321	85	295	5	22	21%	5%	70	-0.9	253/294/359	106	312	9	19	21%	5%	80	-0.1
✕Jeremy Arocho 2018 · A	19	43→44	38→30	53→60	41	204/261/287	83	286	4	12	29%	6%	55	-1.9	223/282/290	67	291	2	11	22%	7%	64	-1.3	230/324/274	45	312	0	26	23%	11%	74	-0.3
✕Ryan Vega 2017 · A	20	44	40	54→45	41	212/260/305	93	270	8	9	24%	5%	59	-1.6	212/271/300	88	287	7	7	27%	6%	63	-1.4	190/257/269	79	268	7	6	30%	7%	50	-1.3
✕Jose Astudillo 2024 · A	20	48	36→40	56→55	49	219/274/288	69	247	2	17	12%	6%	60	-1.6	247/295/323	76	282	4	15	13%	5%	76	-0.4	286/330/370	84	318	6	21	12%	5%	96	+0.5
✕Mishael Deson 2022 · A	20	46	39→30	53→55	41	220/264/300	80	290	6	17	26%	6%	59	-1.7	219/282/281	62	354	4	11	36%	8%	62	-1.4	208/282/237	29	353	3	11	38%	9%	51	-1.2
✕Luis Mendez 2013 · A	20	45	37→30	55→50	50	211/295/286	74	262	4	15	20%	8%	69	-0.9	212/273/273	61	282	2	13	24%	6%	57	-1.8	211/271/264	53	281	2	13	24%	6%	51	-1.1

Aaron Pinero

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps