Dexters Peralta

SS FCL Yankees

Age 20 S/R 6'2" / 170 lbs ROK HR +14% Svc 0.0 · Ctrl thru 2035

Overview

ROKPROSPECTMiLBFA 2036

OGV OFP35OGV rank#1163ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL NYY Yanke…	194	.219/.320/.325	3	26	16	—	.137/.222/.189
2025	18	ROKNYY	162	.157/.258/.221	2	10	-20	—	.095/.164/.129
2026	19	ROKNYY	227	.229/.356/.505	13	9	42	—	.130/.227/.285
2027PROJMLE	20	MLBNYY	337	.200/.266/.317	7	7	64	0.0
2028PROJ34% MLB	21	MLBNYY	57	.207/.274/.339	1	1	70	-0.0
2029PROJ48% MLB	22	MLBNYY	130	.211/.279/.352	4	3	75	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$2M2034Arb-2$4M+1

Skills · percentileMiLB Statcast 2026 Rk

ISO96

Speed75

wRC+54

wOBA52

BB%38

Chase%35

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 97%

CompsAllan Castro (age 20) · Dalton Pompey (age 20) · Carlos Jimenez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 122 proj PA

wRC+†64

AVG/OBP/SLG.198 / .264 / .314

PA122

HR3

K%32

BB%7

ISO117

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$4M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.2	$0.6M	+$0.0M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2033	Arb-1	$2M	+0.5	$1M	+$0.0M (cut)
2034	Arb-2	$4M	+0.4	$0.9M	+$0.0M (cut)
2035	Arb-3	$5M	+0.3	$0.7M	+$0.0M (cut)
Totals		$3M		$6M	+$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 NYY Yankees	—	194	169	37	7	1	3	21	57	4	26	4	219	320	325	645	107	312	29	11	299	16	—	—	—	—	—	—
2025	18	ROK	FCL Yankees	—	162	140	22	3	0	2	18	50	1	10	3	157	258	221	479	64	220	31	11	226	-20	—	—	—	—	—	—
2026	19	ROK	FCL Yankees	—	227	188	43	5	4	13	31	81	6	9	2	229	356	505	861	277	312	36	14	374	42	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL NYY Yankees	—	194	175	24	4	1	1	15	69	4	26	4	137	222	189	410	51	215	36	8	192	16	—	—	—	—	—	—
2025	18	ROK MLE	FCL Yankees	—	162	147	14	2	0	1	11	72	1	10	3	95	164	129	293	34	165	44	7	139	-20	—	—	—	—	—	—
2026	19	ROK MLE	FCL Yankees	—	227	200	26	3	2	8	19	117	6	9	2	130	227	285	512	155	229	52	8	230	42	—	—	—	—	—	—
2024	17	ROK MLE	DSL NYY Yankees	—	194	175	24	4	1	1	15	69	4	26	4	137	222	189	410	51	219	36	8	192	16	—	—	—	—	—	—
2024	17	ROK RAW	DSL NYY Yankees	—	194	169	37	7	1	3	21	57	4	26	4	219	320	325	645	107	312	29	11	299	16	—	—	—	—	—	—
2025	18	ROK MLE	FCL Yankees	—	162	147	14	2	0	1	11	72	1	10	3	95	164	129	293	34	169	44	7	139	-20	—	—	—	—	—	—
2025	18	ROK RAW	FCL Yankees	—	162	140	22	3	0	2	18	50	1	10	3	157	258	221	479	64	220	31	11	226	-20	—	—	—	—	—	—
2026	19	ROK MLE	FCL Yankees	—	227	200	26	3	2	8	19	117	6	9	2	130	227	285	512	155	234	52	8	230	42	—	—	—	—	—	—
2026	19	ROK RAW	FCL Yankees	—	227	188	43	5	4	13	31	81	6	9	2	229	356	505	861	277	312	36	14	374	42	—	—	—	—	—	—
2024	17	ROK MLE	DSL NYY Yankees	—	194	173	24	4	1	1	15	69	4	26	4	139	222	191	412	52	215	36	8	192	16	—	—	—	—	—	—
2025	18	ROK MLE	FCL Yankees	—	162	149	14	2	0	1	11	72	1	10	3	94	164	128	291	34	165	44	7	139	-20	—	—	—	—	—	—
2026	19	ROK MLE	FCL Yankees	—	227	200	26	3	2	8	19	117	6	9	2	130	227	285	512	155	229	52	8	230	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL NYY Yankees	—	194	173	24	4	1	1	15	69	4	26	4	139	222	191	412	52	215	36	8	192	16	—	—	—	—	—	—
2025	18	ROK MLE	FCL Yankees	—	162	149	14	2	0	1	11	72	1	10	3	94	164	128	291	34	165	44	7	139	-20	—	—	—	—	—	—
2026	19	ROK MLE	FCL Yankees	—	227	200	26	3	2	8	19	117	6	9	2	130	227	285	512	155	229	52	8	230	42	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	NYY	0%	337	306	61	11	2	7	24	108	4	7	2	200	266	317	583	117	279	32	7	263	64	-14	+1	-1	+4	+7	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	NYY	34%	167	151	31	5	1	4	12	52	2	4	1	205	273	333	606	127	281	31	7	272	70	-6	+0	-0	+2	+4	-0.0
2029	22	MLB MLE	NYY	48%	269	244	52	9	2	7	20	82	3	7	2	210	278	345	623	135	282	30	7	279	75	-8	+1	-0	+3	+6	0.1
2030	23	MLB MLE	NYY	54%	361	327	70	12	2	10	27	108	4	9	2	213	282	354	636	140	284	30	7	285	79	-9	+1	+0	+4	+8	0.4
2031	24	MLB MLE	NYY	55%	418	379	82	14	3	12	31	124	5	10	3	216	285	360	646	144	285	30	7	289	81	-9	+1	+1	+4	+9	0.6
2032	25	MLB MLE	NYY	56%	452	410	90	16	3	13	34	132	5	11	3	218	288	364	652	146	286	29	8	291	83	-9	+1	+1	+5	+10	0.8
2033	26	MLB MLE	NYY	56%	468	424	92	16	3	13	36	137	5	11	3	218	288	365	652	146	285	29	8	291	83	-9	+1	+1	+5	+10	0.8
2034	27	MLB MLE	NYY	55%	474	430	93	16	3	13	36	139	5	11	3	217	287	362	649	145	285	29	8	290	82	-10	+1	+1	+5	+10	0.8
2035	28	MLB MLE	NYY	55%	473	429	92	16	3	13	36	140	5	10	3	216	285	358	643	142	284	30	8	288	81	-11	+1	+1	+5	+10	0.6
2036	29	MLB MLE	NYY	53%	463	420	90	16	3	12	35	138	5	9	3	213	282	352	634	139	283	30	8	284	78	-12	+1	-0	+5	+10	0.4
2037	30	MLB MLE	NYY	57%	452	410	86	15	2	12	34	136	5	8	3	211	279	345	623	134	281	30	8	280	75	-13	+0	-1	+5	+10	0.1
2028	21	MLB CTX	NYY	34%	57	52	10	2	0	1	4	18	1	1	0	207	274	339	613	132	281	32	7	275	70	-2	+0	-0	+1	+1	-0.0
2029	22	MLB CTX	NYY	48%	130	117	25	4	1	4	10	40	2	3	1	211	279	352	631	140	283	31	8	282	75	-4	+0	-0	+1	+3	0.0
2030	23	MLB CTX	NYY	54%	196	177	38	6	1	6	15	59	2	5	1	215	283	361	644	146	284	30	8	288	79	-5	+1	+0	+2	+4	0.2
2031	24	MLB CTX	NYY	55%	232	210	46	8	1	7	17	69	3	6	1	218	287	368	655	150	285	30	7	292	81	-5	+1	+0	+2	+5	0.4
2032	25	MLB CTX	NYY	56%	253	229	51	9	2	8	19	74	3	6	2	220	289	372	661	152	286	29	8	295	83	-5	+0	+1	+3	+5	0.4
2033	26	MLB CTX	NYY	56%	263	238	53	9	2	8	20	77	3	6	2	220	289	373	662	153	286	29	8	295	83	-5	+0	+1	+3	+6	0.5
2034	27	MLB CTX	NYY	55%	262	237	53	9	2	8	20	77	3	6	2	219	288	370	658	151	285	29	8	294	82	-5	+0	+1	+3	+6	0.4
2035	28	MLB CTX	NYY	55%	259	234	52	9	2	8	20	77	3	6	2	217	286	365	652	148	284	30	8	291	81	-6	+0	+0	+3	+6	0.3
2036	29	MLB CTX	NYY	53%	247	223	47	8	1	7	19	74	3	5	1	215	284	359	643	144	283	30	8	287	78	-6	+1	-0	+3	+5	0.2
2037	30	MLB CTX	NYY	57%	258	234	49	8	1	7	19	78	3	5	2	212	280	352	632	140	281	30	7	283	75	-8	+0	-0	+3	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2157	1951	424	72	13	64	163	643	26	49	14	217	286	366	652	149	287	30	8	290	71	-51	+4	+2	+23	+47	2.5
/ 162G	—	A+C		—	650	588	128	22	4	19	49	194	8	15	4	218	287	366	652	148	288	30	8	290	71	-16	+1	+1	+7	+14	0.8
Career	—	MLE		—	4702	4257	865	148	29	122	355	1485	56	138	36	203	273	338	611	134	278	32	8	274	71	-102	+8	+3	+44	+89	4.4
/ 162G	—	MLE		—	650	588	119	20	4	17	49	205	8	19	5	202	272	337	609	134	276	32	8	274	71	-16	+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 Yankees · 227 PAwOBA .366 → .230 (−136)K% 35.7% → 51.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.68%	÷1.000	×1.440	—	—	51.38%
BB% (unintentional) /PA	13.22%	÷1.000	×0.620	—	×1.008	8.26%
HBP% /PA	2.64%	—	×0.720	—	×1.008	1.92%
Singles /BIP	19.63%	÷1.000	×0.820	×0.950	×1.008	15.40%
Doubles /BIP	4.67%	÷1.000	×0.720	×0.950	×1.008	3.22%
Triples /BIP	3.74%	÷1.000	×0.720	×0.950	×1.008	2.58%
Home runs /BIP	12.15%	÷1.000	×0.780	—	×1.008	9.55%

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 ×0.950.

Result: wOBA .366 → .230; ISO .277 → .172; BABIP .312 → .229. 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 ROKFCL Yankees · 162 PAwOBA .225 → .139 (−87)K% 30.9% → 44.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.86%	÷1.001	×1.440	—	—	44.42%
BB% (unintentional) /PA	11.11%	÷1.000	×0.620	—	×1.022	7.04%
HBP% /PA	0.62%	—	×0.720	—	×1.022	0.45%
Singles /BIP	18.89%	÷1.056	×0.820	×0.981	×1.022	14.71%
Doubles /BIP	3.33%	÷1.043	×0.720	×0.981	×1.022	2.31%
Triples /BIP	0.00%	÷1.008	×0.720	×0.981	×1.022	0.00%
Home runs /BIP	2.22%	÷2.059	×0.780	—	×1.022	0.86%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 312, 1B 111, 2B 109, 3B 102, K 100, BB 100 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .225 → .139; ISO .064 → .027; BABIP .220 → .165. 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 NYY Yankees · 194 PAwOBA .292 → .192 (−100)K% 29.4% → 35.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.38%	÷1.003	×1.220	—	—	35.73%
BB% (unintentional) /PA	10.82%	÷1.003	×0.700	—	×1.022	7.72%
HBP% /PA	2.06%	—	×0.700	—	×1.022	1.48%
Singles /BIP	23.21%	÷1.015	×0.680	×1.050	×1.022	16.70%
Doubles /BIP	6.25%	÷1.021	×0.600	×1.050	×1.022	3.94%
Triples /BIP	0.89%	÷1.000	×0.600	×1.050	×1.022	0.58%
Home runs /BIP	2.68%	÷0.952	×0.470	—	×1.022	1.35%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 103, 2B 104, 3B 100, K 101, BB 101 — 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 .292 → .192; ISO .107 → .058; BABIP .312 → .215. 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
#1Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
#2Gordon 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
#3Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8
#4Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.4	2,280	62	52	215	280	356	+24	+0	3.6	3.4
/162	664	18	15	+7.1	+0.0	1.1	pk7: 3
#5Frank 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
#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
Dexters Peralta (OGILVIE)	20	—	—	—	—	198/264/314	116	279	3	3	32%	7%	64	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Allan Castro 2023 · A	20	37→45	40→45	54→50	42	182/250/279	97	263	6	9	32%	7%	50	-2.3	207/280/322	115	282	9	13	28%	9%	71	-0.8	209/284/324	115	280	10	14	27%	9%	71	-0.6
✕Dalton Pompey 2013 · A	20	41→51	40→45	55	44	198/266/291	93	280	8	16	30%	8%	59	-1.7	243/305/349	106	326	7	24	25%	8%	86	+0.3	269/328/372	103	341	7	29	22%	7%	97	+0.9
✕Carlos Jimenez 2023 · A	20	35→44	42→50	53→55	51	176/278/284	108	252	10	16	32%	11%	63	-1.3	209/288/321	112	322	10	16	35%	9%	74	-0.5	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Angel Martínez 2022 · A	20	42→50	41→50	50	45	204/264/307	103	268	7	10	26%	7%	61	-1.5	231/294/358	127	293	12	10	24%	7%	84	+0.2	236/284/389	154	280	16	12	22%	5%	89	+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
✕José Rodríguez 2021 · A	20	41→51	43→50	52→55	37	208/240/316	109	266	11	11	27%	4%	54	-2.0	248/280/380	132	299	14	24	21%	4%	84	+0.1	248/280/383	135	297	15	29	22%	4%	81	-0.0
✕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
✕Jansel Luis 2024 · A	19	44→54	41→45	53→55	41	216/268/318	101	271	9	14	23%	5%	65	-1.2	239/284/354	115	319	8	16	26%	5%	79	-0.2	249/291/371	122	332	9	19	27%	4%	83	+0.1
✕Adalberto Mondesi 2015 · A	20	42→52	40→60	54→65	35	205/239/300	96	293	8	14	32%	4%	49	-2.4	216/249/342	126	304	12	25	32%	4%	63	-1.3	254/286/438	184	337	19	49	30%	4%	100	+0.9
✕Luis Alexander Basabe 2018 · A	21	41→45	41→45	54→50	39	200/255/302	102	297	8	15	34%	6%	57	-1.8	205/269/312	107	318	9	14	36%	8%	65	-1.2	199/269/311	112	312	11	14	37%	8%	62	-0.8
✕Brayan Buelvas 2022 · A	20	39→45	46→50	51→55	41	199/261/328	129	275	14	13	32%	7%	65	-1.2	195/257/323	128	268	13	17	31%	7%	63	-1.4	205/266/334	130	290	12	14	32%	7%	66	-0.8
✕C.J. Beatty 2010 · A	21	40	41→45	52→40	41	198/252/295	98	278	9	9	31%	6%	54	-2.0	210/271/325	115	299	9	5	31%	7%	68	-1.0	202/267/333	131	282	11	2	30%	8%	65	-0.7
✕John Tolisano 2009 · A	20	39→48	42→45	50	44	192/256/298	105	263	9	6	30%	8%	56	-1.9	200/263/320	120	273	12	6	29%	8%	64	-1.3	208/275/338	130	272	12	12	27%	8%	70	-0.5
✕Javier Herrera 2024 · A	19	38	39→40	51→55	45	184/262/268	84	272	6	10	32%	9%	53	-2.1	204/298/290	86	279	5	15	26%	11%	71	-0.8	210/307/297	87	289	5	18	26%	11%	74	-0.2
✕Jase Bowen 2022 · A	21	37→42	42→50	54→55	35	186/247/286	100	284	10	12	37%	5%	51	-2.2	197/249/316	119	284	14	16	34%	5%	59	-1.7	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Estevan Florial 2017 · A	19	39→49	42→50	52→60	40	192/255/297	106	289	10	11	35%	7%	56	-1.9	217/275/334	117	369	10	13	40%	7%	72	-0.7	214/285/371	157	317	17	29	36%	8%	82	+0.0
✕Luis Liberato 2016 · A	20	37→47	37→50	53→50	42	177/241/251	73	261	4	13	32%	7%	40	-3.1	211/262/329	118	307	9	6	32%	7%	65	-1.2	221/286/368	148	299	15	9	30%	8%	83	+0.0
✕Blake Perkins 2018 · A	21	45→51	40→50	51→55	44	216/276/308	92	292	7	15	28%	7%	66	-1.1	204/272/289	85	295	7	17	31%	8%	61	-1.5	227/310/355	127	301	12	25	27%	10%	89	+0.4
✕Sean Henry 2006 · A	20	42→52	43→50	55	42	204/269/312	108	298	11	15	34%	8%	65	-1.2	229/283/355	126	291	11	19	24%	6%	80	-0.2	251/305/379	128	300	11	17	19%	6%	91	+0.6
●Abraham Almonte 2009 · A	20	41→51	41→55	53→55	45	200/260/302	102	263	8	18	27%	7%	59	-1.7	233/279/330	97	309	6	20	25%	6%	72	-0.7	259/316/379	120	330	8	25	22%	7%	94	+0.8

Dexters Peralta

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps