J.P. Cabrera

C FCL Cardinals

Age 20 R/R 5'11" / 185 lbs ROK HR -14%BB -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#840ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKSTL	79	.234/.380/.266	0	0	33	—	.162/.278/.191
2025	18	ROKSTL	104	.247/.385/.400	2	2	39	—	.156/.269/.244
2026	19	A/ROKSTL	236	.238/.309/.342	2	4	40	—	.190/.249/.273
2027PROJMLE	20	MLBSTL	346	.212/.274/.304	4	5	64	0.1
2028PROJ34% MLB	21	MLBSTL	65	.218/.281/.318	1	1	69	0.0
2029PROJ48% MLB	22	MLBSTL	144	.221/.285/.329	2	3	74	0.1

Next 3 projected WAR 0.3Projected 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

K%58

Max EV54

Whiff%44

Z-Con%38

Chase%21

BB%20

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 93%

CompsAdrián Sugastey (age 20) · Luis Torrens (age 20) · Wilfredo Rodriguez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 138 proj PA

wRC+†64

AVG/OBP/SLG.211 / .272 / .302

PA138

HR2

K%26

BB%7

ISO92

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · ContractCON 47 / POW 38

Toolsscout grade

CONTACT47

scouting grade only

POWER38

scouting grade only

EYE50

scouting grade only

SPEED51

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	+0.5	$1M	+$0.7M
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	$7M	—	—	—
Totals		$3M		$3M	+$2M

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 Cardinals	—	79	64	15	0	1	0	14	14	1	0	0	234	380	266	645	31	300	18	18	314	33	—	—	—	—	—	—
2025	18	ROK	DSL Cardinals	—	104	85	21	5	1	2	15	17	4	2	0	247	385	400	785	153	288	16	14	359	39	—	—	—	—	—	—
2026	19	A	Palm Beach Cardinals	—	100	89	19	6	0	1	7	22	1	1	0	213	270	315	585	101	273	22	7	263	34	—	—	—	—	—	—
2026	19	ROK	FCL Cardinals	—	136	113	29	9	0	1	13	26	3	3	0	257	338	363	701	106	315	19	10	310	45	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Cardinals	—	79	68	11	0	1	0	10	17	1	0	0	162	278	191	470	29	213	22	13	217	33	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cardinals	—	104	90	14	3	1	1	10	22	4	2	0	156	269	244	514	89	184	21	10	226	39	—	—	—	—	—	—
2026	19	A MLE	Palm Beach Cardinals	—	100	94	17	5	0	1	5	30	1	1	0	181	230	266	496	85	257	30	5	218	34	—	—	—	—	—	—
2026	19	ROK MLE	FCL Cardinals	—	136	122	24	7	0	1	8	37	3	3	0	197	263	279	542	82	252	27	6	234	45	—	—	—	—	—	—
2024	17	ROK MLE	DSL Cardinals	—	79	68	11	0	1	0	10	17	1	0	0	162	278	191	470	29	216	22	13	217	33	—	—	—	—	—	—
2024	17	ROK RAW	DSL Cardinals	—	79	64	15	0	1	0	14	14	1	0	0	234	380	266	645	31	300	18	18	314	33	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cardinals	—	104	90	14	3	1	1	10	22	4	2	0	156	269	244	514	89	194	21	10	226	39	—	—	—	—	—	—
2025	18	ROK RAW	DSL Cardinals	—	104	85	21	5	1	2	15	17	4	2	0	247	385	400	785	153	288	16	14	359	39	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	236	216	41	12	0	2	13	67	4	4	0	190	249	273	522	83	260	28	6	227	40	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	236	202	48	15	0	2	20	48	4	4	0	238	309	342	651	104	297	20	8	290	40	—	—	—	—	—	—
2024	17	ROK MLE	DSL Cardinals	—	79	68	11	0	1	0	10	17	1	0	0	162	278	191	470	29	213	22	13	217	33	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cardinals	—	104	89	14	3	1	1	10	22	4	2	0	157	269	247	516	90	184	21	10	226	39	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	236	217	41	12	0	2	13	67	4	4	0	189	249	272	521	83	254	28	6	227	40	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Cardinals	—	79	68	11	0	1	0	10	17	1	0	0	162	278	191	470	29	213	22	13	217	33	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cardinals	—	104	89	14	3	1	1	10	22	4	2	0	157	269	247	516	90	184	21	10	226	39	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	236	217	41	12	0	2	13	67	4	4	0	189	249	272	521	83	254	28	6	227	40	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	STL	0%	346	316	67	13	2	4	23	90	4	5	2	212	274	304	578	92	281	26	7	262	64	-15	+0	+0	+6	+7	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	STL	34%	190	173	37	7	1	3	13	49	2	3	1	217	280	319	599	102	283	26	7	271	69	-7	+0	+0	+3	+4	0.1
2029	22	MLB MLE	STL	48%	297	270	60	12	2	5	21	75	4	6	2	221	285	330	614	109	284	25	7	277	74	-9	+0	+0	+5	+6	0.3
2030	23	MLB MLE	STL	54%	380	346	77	15	2	7	27	95	4	7	2	223	288	338	626	115	285	25	7	282	77	-10	+1	+0	+7	+8	0.5
2031	24	MLB MLE	STL	55%	434	395	89	17	3	8	31	108	5	8	2	226	291	345	636	119	287	25	7	286	80	-11	+1	+0	+8	+9	0.8
2032	25	MLB MLE	STL	56%	445	405	93	18	3	9	32	110	5	9	3	227	293	349	642	122	287	25	7	288	81	-10	+1	+0	+8	+10	0.8
2033	26	MLB MLE	STL	56%	445	404	93	18	3	9	33	110	5	8	3	227	293	349	641	122	287	25	7	288	81	-10	+0	+0	+8	+10	0.8
2034	27	MLB MLE	STL	55%	445	404	91	18	2	9	33	110	5	8	3	226	292	346	638	120	286	25	7	287	80	-11	+0	+0	+8	+10	0.8
2035	28	MLB MLE	STL	55%	445	404	89	17	2	8	33	111	5	8	3	224	290	341	631	117	285	25	7	284	78	-12	+0	-1	+8	+10	0.6
2036	29	MLB MLE	STL	53%	445	405	89	17	2	8	32	113	5	7	3	221	287	335	622	114	284	25	7	280	76	-13	+0	-1	+8	+10	0.4
2037	30	MLB MLE	STL	53%	445	405	89	17	2	8	32	114	5	7	3	218	283	327	610	109	282	26	7	275	73	-15	+0	-2	+8	+10	0.1
2038	31	MLB MLE	STL	52%	422	385	83	16	2	7	30	110	4	5	4	214	278	317	595	103	278	26	7	269	68	-16	-1	-3	+8	+9	-0.3
2028	21	MLB CTX	STL	34%	65	60	13	3	0	1	4	17	1	1	0	218	281	318	599	100	285	26	6	271	69	-2	+0	+0	+1	+1	0.0
2029	22	MLB CTX	STL	48%	144	131	29	6	1	2	10	36	2	3	1	221	285	329	614	107	286	25	7	277	74	-5	+0	+0	+3	+3	0.1
2030	23	MLB CTX	STL	54%	206	187	41	8	1	3	15	52	2	4	1	224	289	337	625	113	288	25	7	282	77	-6	+0	+0	+4	+4	0.3
2031	24	MLB CTX	STL	55%	241	219	49	10	1	4	17	60	3	5	1	226	292	343	634	117	289	25	7	285	80	-6	+1	+0	+4	+5	0.4
2032	25	MLB CTX	STL	56%	249	226	51	10	1	5	18	61	3	5	1	227	293	347	640	119	289	24	7	288	81	-6	+1	+0	+4	+5	0.5
2033	26	MLB CTX	STL	56%	250	227	51	10	1	5	18	62	3	5	1	227	293	346	639	119	289	25	7	287	81	-6	+1	+0	+4	+5	0.5
2034	27	MLB CTX	STL	55%	246	223	49	10	1	4	18	61	3	5	1	226	292	344	636	118	288	25	7	286	80	-6	+1	+0	+4	+5	0.5
2035	28	MLB CTX	STL	55%	244	221	49	10	1	4	18	61	3	4	1	224	290	339	629	115	287	25	7	283	78	-6	+0	-0	+4	+5	0.3
2036	29	MLB CTX	STL	53%	238	216	48	10	1	4	17	60	3	4	1	222	287	333	620	111	286	25	7	280	76	-7	+0	-1	+4	+5	0.2
2037	30	MLB CTX	STL	53%	234	213	46	9	1	4	17	60	2	3	2	219	284	326	609	107	284	26	7	275	73	-8	-0	-1	+4	+5	0.0
2038	31	MLB CTX	STL	52%	220	200	43	9	1	3	16	57	2	3	2	215	279	316	595	101	281	26	7	269	68	-8	-0	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2337	2123	469	95	10	39	168	587	27	42	12	221	286	330	617	109	285	25	7	281	73	-65	+4	-4	+42	+51	2.8
/ 162G	—	A+C		—	650	590	130	26	3	11	47	163	8	12	3	220	287	331	618	110	284	25	7	281	73	-18	+1	-1	+12	+14	0.8
Career	—	MLE		—	4950	4496	983	192	27	86	359	1247	60	84	30	219	285	331	616	112	281	25	7	276	73	-128	+4	-7	+81	+98	4.8
/ 162G	—	MLE		—	650	590	129	25	4	11	47	164	8	11	4	219	285	331	615	112	282	25	7	276	73	-18	+1	-1	+12	+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 Cardinals · 136 PAwOBA .309 → .234 (−74)K% 19.1% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.12%	÷1.000	×1.440	—	—	27.53%
BB% (unintentional) /PA	9.56%	÷1.000	×0.620	—	×0.995	5.90%
HBP% /PA	2.21%	—	×0.720	—	×0.995	1.58%
Singles /BIP	21.84%	÷1.000	×0.820	×1.023	×0.995	18.22%
Doubles /BIP	10.34%	÷1.000	×0.720	×1.023	×0.995	7.58%
Triples /BIP	0.00%	÷1.000	×0.720	×1.023	×0.995	0.00%
Home runs /BIP	1.15%	÷1.000	×0.780	—	×0.995	0.89%

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 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 ×1.023.

Result: wOBA .309 → .234; ISO .106 → .080; BABIP .315 → .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).

2026 APalm Beach Cardinals · 100 PAwOBA .256 → .218 (−38)K% 22.0% → 29.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.00%	÷1.000	×1.360	—	—	29.92%
BB% (unintentional) /PA	7.00%	÷1.000	×0.690	—	×1.030	4.97%
HBP% /PA	1.00%	—	×0.780	—	×1.030	0.80%
Singles /BIP	17.91%	÷1.000	×0.920	×1.029	×1.030	17.47%
Doubles /BIP	8.96%	÷1.000	×0.830	×1.029	×1.030	7.88%
Triples /BIP	0.00%	÷1.000	×0.910	×1.029	×1.030	0.00%
Home runs /BIP	1.49%	÷1.000	×0.800	—	×1.030	1.23%

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 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .256 → .218; ISO .101 → .084; BABIP .273 → .257. 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 Cardinals · 104 PAwOBA .351 → .226 (−125)K% 16.3% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.35%	÷0.961	×1.220	—	—	20.76%
BB% (unintentional) /PA	14.42%	÷1.022	×0.700	—	×0.995	9.83%
HBP% /PA	3.85%	—	×0.700	—	×0.995	2.68%
Singles /BIP	19.12%	÷1.019	×0.680	×1.014	×0.995	12.87%
Doubles /BIP	7.35%	÷0.990	×0.600	×1.014	×0.995	4.49%
Triples /BIP	1.47%	÷1.150	×0.600	×1.014	×0.995	0.77%
Home runs /BIP	2.94%	÷1.047	×0.470	—	×0.995	1.31%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 104, 2B 98, 3B 130, K 92, BB 104 — 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 ×1.014.

Result: wOBA .351 → .226; ISO .153 → .082; BABIP .288 → .184. 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 Cardinals · 79 PAwOBA .307 → .217 (−90)K% 17.7% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.72%	÷0.992	×1.220	—	—	21.80%
BB% (unintentional) /PA	17.72%	÷1.033	×0.700	—	×1.008	12.10%
HBP% /PA	1.27%	—	×0.700	—	×1.008	0.89%
Singles /BIP	28.00%	÷0.997	×0.680	×1.050	×1.008	20.21%
Doubles /BIP	0.00%	÷0.976	×0.600	×1.050	×1.008	0.00%
Triples /BIP	2.00%	÷1.132	×0.600	×1.050	×1.008	1.12%
Home runs /BIP	0.00%	÷1.307	×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 161, 1B 99, 2B 95, 3B 126, K 98, BB 107 — 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 .307 → .217; ISO .031 → .018; BABIP .300 → .213. 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
#1Jacob 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
#2Brian 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
#3Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#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	3.7	2,475	44	43	223	285	337	+44	+28	4.5	4.1
/162	664	12	11	+11.9	+7.5	1.2	pk7: 4
#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
J.P. Cabrera (OGILVIE)	20	42→47	33→38	46→51	50	211/272/302	91	281	2	2	26%	7%	64	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adrián Sugastey 2023 · A	20	46	38→40	49→40	44	219/277/296	76	279	6	3	23%	6%	63	-1.3	222/263/311	89	272	7	4	20%	5%	61	-1.5	225/265/311	86	256	8	3	15%	4%	60	-0.7
✕Luis Torrens 2016 · A	20	43→49	39→50	49→40	45	207/279/288	81	285	6	6	28%	8%	63	-1.3	212/273/295	83	270	6	4	22%	7%	62	-1.4	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Wilfredo Rodriguez 2014 · A	20	48	39→40	47→50	44	231/276/323	91	287	5	5	21%	6%	69	-0.9	235/273/310	75	276	5	6	16%	4%	64	-1.3	240/274/305	65	276	5	5	15%	4%	63	-0.7
✕Tomás Nido 2015 · A	21	44→45	39→45	49→30	43	213/268/301	88	286	6	7	27%	6%	61	-1.5	234/265/337	103	307	9	2	26%	4%	68	-1.0	244/279/354	110	291	9	0	19%	4%	75	-0.3
✕Liover Peguero 2021 · A	20	45→49	38→45	50→55	41	212/263/292	80	293	5	9	28%	6%	57	-1.8	229/272/346	117	315	12	22	30%	5%	73	-0.6	229/273/352	123	303	13	24	28%	5%	72	-0.6
✕Luis Caicuto 2023 · A	20	51	38→45	46→50	46	241/301/323	82	302	5	7	21%	6%	78	-0.3	211/281/274	63	283	2	5	24%	7%	61	-1.5	197/271/279	82	244	7	8	21%	7%	57	-0.7
✕Jacob Amaya 2018 · A	19	44→47	39→45	48→45	46	211/280/295	84	285	6	8	27%	8%	65	-1.2	225/304/318	93	298	6	8	24%	10%	79	-0.2	218/291/330	112	279	11	6	25%	9%	75	-0.4
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	75	292	5	11	30%	6%	53	-2.1	193/262/269	76	307	6	15	36%	7%	53	-2.1	189/270/268	79	286	5	32	33%	8%	53	-0.8
✕Chris Suero 2024 · A	20	41→38	41→45	50→55	50	196/295/291	95	281	8	8	31%	10%	71	-0.8	193/290/309	116	280	12	20	33%	10%	74	-0.6	181/287/307	126	264	14	27	34%	10%	70	-0.7
✕Seth Conner 2012 · A	20	44	41→40	47→45	47	211/285/310	99	279	8	6	26%	8%	71	-0.8	203/275/278	75	282	5	4	27%	7%	59	-1.6	185/264/242	57	259	3	0	27%	7%	48	-0.7
✕Christian Lopes 2013 · A	20	42→52	42→45	53→50	42	207/256/324	117	265	8	8	25%	5%	62	-1.4	209/263/288	79	265	4	4	22%	6%	56	-1.9	233/301/343	110	279	9	15	19%	8%	81	-0.0
✕Luis Alvarez 2011 · A	21	45	40	48→45	47	216/287/311	94	272	7	6	22%	7%	72	-0.7	217/271/325	108	273	10	5	24%	5%	68	-1.0	209/261/319	110	249	12	1	21%	4%	60	-0.3
✕Rodolfo Durán 2018 · A	20	43	41→50	46→45	39	212/254/309	97	284	9	6	28%	5%	57	-1.8	212/248/354	142	283	18	3	31%	4%	66	-1.1	229/272/378	149	281	17	3	25%	5%	78	-0.2
✕Eddys Leonard 2021 · A	20	42→47	39→50	45→50	45	198/273/287	89	286	6	8	31%	8%	61	-1.5	229/297/377	148	305	16	5	29%	7%	91	+0.6	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕Juan Uriarte 2019 · A	21	46	41→45	49→30	41	223/277/319	96	282	8	4	23%	5%	69	-0.9	187/230/267	80	281	6	4	34%	4%	39	-3.1	146/183/206	60	224	4	0	36%	2%	4	-1.5
✕Jeferson Quero 2023 · A	20	47	44→50	49→45	43	230/281/347	117	293	11	9	25%	6%	77	-0.3	232/290/369	137	282	16	7	23%	7%	86	+0.3	222/285/355	133	266	16	4	23%	7%	79	-0.1
✕Andres Melendez 2021 · A	20	43	37→50	46→40	46	206/267/283	78	262	4	5	22%	7%	57	-1.8	213/291/333	120	335	11	5	36%	9%	78	-0.3	196/288/335	139	309	13	2	37%	11%	76	-0.2
✕Miguel Palma 2021 · A	19	40	39→45	48→40	45	193/281/280	88	261	6	11	27%	7%	63	-1.3	215/293/337	122	281	13	5	27%	8%	80	-0.1	217/284/341	124	274	15	2	26%	7%	76	-0.2
✕Christian Cerda 2023 · A	20	40	39→45	50→40	53	189/279/278	88	244	6	9	23%	10%	61	-1.5	198/297/302	104	263	10	4	26%	12%	74	-0.5	187/288/292	105	240	12	2	26%	12%	67	-0.7
✕Luke Williams 2017 · A	20	46→44	36→45	50→65	47	216/284/281	65	293	3	11	26%	8%	63	-1.4	196/247/266	70	262	5	17	26%	6%	45	-2.7	229/291/325	96	311	8	37	27%	7%	74	-0.3

J.P. Cabrera

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps