Juan Cabada

SS Myrtle Beach Pelicans

Age 19 L/R 5'9" / 165 lbs A HR -8% Svc 0.0 · Ctrl thru 2036

Overview

APROSPECTMiLBFA 2037

OGV OFP35OGV rank#1033ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Cubs Red	170	.287/.429/.426	3	20	65	—	.190/.324/.275
2026	18	A/ROK/INTL2 orgs	176	.224/.326/.336	4	4	55	—	.213/.289/.344
2027PROJMLE	19	MLBCHC	246	.223/.296/.331	4	5	78	0.0
2028PROJ34% MLB	20	MLBCHC	49	.229/.303/.345	1	1	83	0.0
2029PROJ48% MLB	21	MLBCHC	119	.232/.306/.353	2	2	86	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$3M+2

Skills · percentileMiLB Statcast 2026 A

Chase%58

Whiff%56

K%48

ISO46

Z-Con%34

wRC+28

Career WAR0.0 WAR median (P10 -0.3 / P90 6.3, comp-based) · star 2% · didn't stick 86%

CompsMax Clark (age 19) · Termarr Johnson (age 19) · Canaan Smith-Njigba (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 81 proj PA

wRC+†78

AVG/OBP/SLG.221 / .293 / .328

PA81

HR1

K%26

BB%7

ISO108

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2034	Arb-1	$3M	+0.6	$1M	+$0.0M (cut)
2035	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2036	Arb-3	$6M	+0.5	$1M	+$0.0M (cut)
Totals		$3M		$8M	+$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.

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)
2025	17	ROK	DSL Cubs Red	—	170	136	39	10	0	3	20	31	14	20	3	287	429	426	856	140	353	18	12	393	65	—	—	—	—	—	—
2026	18	A	Myrtle Beach Pelicans	—	74	65	14	2	0	2	3	18	5	1	1	215	301	338	640	123	261	24	4	291	50	—	—	—	—	—	—
2026	18	ROK	ACL Cubs	—	62	53	15	0	1	2	9	10	0	2	1	283	387	434	821	151	317	16	15	370	70	—	—	—	—	—	—
2026	18	INTL	Mesa Solar Sox	—	40	34	5	1	0	0	5	14	1	1	0	147	275	176	451	29	250	35	12	228	41	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Cubs Red	—	170	142	27	6	0	2	14	39	14	20	3	190	324	275	598	85	243	23	8	264	65	—	—	—	—	—	—
2026	18	A MLE	Myrtle Beach Pelicans	—	74	66	13	2	0	2	2	24	5	1	1	197	274	318	592	121	253	32	3	242	50	—	—	—	—	—	—
2026	18	ROK MLE	ACL Cubs	—	62	56	13	0	1	2	6	14	0	2	1	232	306	375	681	143	261	23	10	271	70	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cubs Red	—	170	142	27	6	0	2	14	39	14	20	3	190	324	275	598	85	248	23	8	264	65	—	—	—	—	—	—
2025	17	ROK RAW	DSL Cubs Red	—	170	136	39	10	0	3	20	31	14	20	3	287	429	426	856	140	353	18	12	393	65	—	—	—	—	—	—
2026	18	A MLE	3 teams	—	176	159	32	2	1	4	10	50	6	4	2	201	274	302	576	101	264	28	6	255	59	—	—	—	—	—	—
2026	18	A RAW	3 teams	—	176	152	34	3	1	4	17	42	6	4	2	224	326	336	661	112	280	24	10	304	59	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cubs Red	—	170	140	27	6	0	2	14	39	14	20	3	193	324	279	602	86	243	23	8	264	65	—	—	—	—	—	—
2026	18	A MLE	3 teams	—	176	158	32	2	1	4	10	50	6	4	2	203	274	304	578	101	257	28	6	255	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Cubs Red	—	170	140	27	6	0	2	14	39	14	20	3	193	324	279	602	86	243	23	8	264	65	—	—	—	—	—	—
2026	18	A MLE	3 teams	—	176	158	32	2	1	4	10	50	6	4	2	203	274	304	578	101	257	28	6	255	59	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	CHC	0%	246	221	49	8	2	4	18	64	5	5	1	223	296	331	627	108	291	26	7	284	78	-6	+1	-3	+3	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	CHC	34%	144	129	30	5	1	3	11	37	3	3	1	227	301	342	643	115	292	26	8	291	83	-3	+0	-2	+2	+3	0.0
2029	21	MLB MLE	CHC	48%	245	220	50	8	2	5	18	62	5	5	1	230	305	351	656	121	293	25	7	296	86	-4	+1	-3	+3	+5	0.2
2030	22	MLB MLE	CHC	54%	356	318	74	12	2	8	27	88	8	7	2	232	307	358	665	126	294	25	8	300	89	-5	+1	-4	+4	+8	0.4
2031	23	MLB MLE	CHC	57%	427	382	90	15	3	10	33	105	9	8	2	234	309	363	673	129	295	25	8	303	91	-5	+1	-4	+5	+9	0.7
2032	24	MLB MLE	CHC	57%	472	423	100	17	3	11	37	115	9	9	2	236	311	368	678	132	295	24	8	305	93	-4	+1	-3	+5	+10	0.9
2033	25	MLB MLE	CHC	57%	498	446	106	18	3	12	39	121	10	9	2	236	311	368	679	132	295	24	8	305	93	-4	+1	-2	+5	+11	1.1
2034	26	MLB MLE	CHC	56%	512	457	108	18	3	12	40	125	10	9	2	236	311	368	679	132	295	24	8	305	93	-5	+1	-2	+5	+11	1.1
2035	27	MLB MLE	CHC	55%	515	460	108	18	3	12	40	126	10	9	2	235	310	365	675	131	295	24	8	304	92	-5	+1	-2	+6	+11	1.0
2036	28	MLB MLE	CHC	55%	511	456	106	18	3	11	40	126	10	8	2	233	308	361	669	128	294	25	8	301	90	-6	+1	-3	+5	+11	0.8
2037	29	MLB MLE	CHC	53%	500	447	103	17	3	11	39	125	10	7	2	231	306	355	660	124	293	25	8	298	88	-7	+1	-4	+5	+11	0.6
2038	30	MLB MLE	CHC	57%	488	439	100	17	3	10	37	124	9	7	3	228	302	347	650	119	291	25	8	293	85	-9	+0	-4	+5	+11	0.3
2039	31	MLB MLE	CHC	60%	473	425	95	16	2	9	36	122	9	6	4	224	298	338	636	114	289	26	8	288	81	-11	-0	-5	+5	+10	-0.1
2040	32	MLB MLE	CHC	61%	452	407	89	15	2	8	34	118	8	5	6	219	292	326	618	107	285	26	8	280	76	-13	-1	-6	+5	+10	-0.5
2028	20	MLB CTX	CHC	34%	49	44	10	2	0	1	4	12	1	1	0	229	303	345	647	116	296	24	8	293	83	-1	+0	-1	+1	+1	0.0
2029	21	MLB CTX	CHC	48%	119	106	24	4	1	2	9	30	3	2	1	232	306	353	660	122	297	25	8	298	86	-2	+0	-1	+1	+3	0.1
2030	22	MLB CTX	CHC	54%	193	172	40	7	1	4	15	48	4	4	1	234	309	360	669	126	297	25	8	301	89	-3	+0	-2	+2	+4	0.2
2031	23	MLB CTX	CHC	57%	242	216	51	9	2	5	19	59	5	5	1	236	311	366	677	130	298	24	8	304	91	-3	+1	-2	+3	+5	0.4
2032	24	MLB CTX	CHC	57%	267	239	57	10	2	6	21	65	5	5	1	237	312	370	682	132	299	24	8	306	93	-2	+1	-2	+3	+6	0.5
2033	25	MLB CTX	CHC	57%	281	251	59	10	2	6	22	69	6	5	1	238	313	370	683	133	299	25	8	307	93	-2	+1	-1	+3	+6	0.6
2034	26	MLB CTX	CHC	56%	289	259	62	11	2	7	22	70	6	5	1	237	312	370	682	132	298	24	8	306	93	-3	+1	-1	+3	+6	0.6
2035	27	MLB CTX	CHC	55%	286	256	61	11	2	6	22	70	6	5	1	236	312	367	679	131	298	24	8	305	92	-3	+1	-1	+3	+6	0.6
2036	28	MLB CTX	CHC	55%	280	251	59	10	2	6	22	69	5	5	1	235	310	363	673	128	297	25	8	303	90	-3	+1	-2	+3	+6	0.5
2037	29	MLB CTX	CHC	53%	267	239	57	10	2	6	21	67	5	4	1	232	307	357	664	125	296	25	8	299	88	-4	+0	-2	+3	+6	0.3
2038	30	MLB CTX	CHC	57%	279	251	58	10	2	6	21	71	5	4	2	230	304	350	653	120	295	25	8	295	85	-5	+0	-3	+3	+6	0.1
2039	31	MLB CTX	CHC	60%	282	254	57	10	2	5	21	73	5	3	2	226	299	340	639	115	292	26	7	289	81	-6	-0	-3	+3	+6	-0.1
2040	32	MLB CTX	CHC	61%	277	249	55	9	2	5	21	73	5	3	4	221	293	328	622	108	288	26	8	282	76	-8	-1	-3	+3	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3111	2787	650	113	22	65	240	776	61	51	17	233	308	360	667	126	299	25	8	300	86	-45	+3	-24	+33	+67	3.6
/ 162G	—	A+C		—	650	582	137	24	5	14	50	162	13	11	4	235	310	366	676	131	301	25	8	300	86	-9	+1	-5	+7	+14	0.7
Career	—	MLE		—	6020	5383	1235	205	35	129	461	1504	132	118	36	229	306	352	658	123	293	25	8	296	86	-82	+6	-45	+61	+123	6.4
/ 162G	—	MLE		—	650	581	134	22	4	14	50	162	14	13	4	231	307	355	662	124	294	25	8	296	86	-9	+1	-5	+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 AMyrtle Beach Pelicans · 74 PAwOBA .287 → .242 (−45)K% 24.3% → 33.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.32%	÷1.000	×1.360	—	—	33.08%
BB% (unintentional) /PA	4.05%	÷1.000	×0.690	—	×1.050	2.94%
HBP% /PA	6.76%	—	×0.780	—	×1.050	5.53%
Singles /BIP	21.28%	÷1.000	×0.920	×1.031	×1.050	21.20%
Doubles /BIP	4.26%	÷1.000	×0.830	×1.031	×1.050	3.82%
Triples /BIP	0.00%	÷1.000	×0.910	×1.031	×1.050	0.00%
Home runs /BIP	4.26%	÷1.000	×0.800	—	×1.050	3.57%

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 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .287 → .242; ISO .123 → .097; BABIP .261 → .253. 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 ROKACL Cubs · 62 PAwOBA .360 → .271 (−89)K% 16.1% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.13%	÷1.000	×1.440	—	—	23.23%
BB% (unintentional) /PA	14.52%	÷1.000	×0.620	—	×1.022	9.20%
HBP% /PA	0.00%	—	×0.720	—	×1.022	0.00%
Singles /BIP	27.91%	÷1.000	×0.820	—	×1.022	23.40%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×1.022	0.00%
Triples /BIP	2.33%	÷1.000	×0.720	—	×1.022	1.71%
Home runs /BIP	4.65%	÷1.000	×0.780	—	×1.022	3.71%

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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average).

Result: wOBA .360 → .271; ISO .151 → .115; BABIP .317 → .261. 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 Cubs Red · 170 PAwOBA .384 → .264 (−120)K% 18.2% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.24%	÷0.966	×1.220	—	—	23.03%
BB% (unintentional) /PA	11.76%	÷1.036	×0.700	—	×1.022	8.13%
HBP% /PA	8.24%	—	×0.700	—	×1.022	5.89%
Singles /BIP	24.76%	÷0.981	×0.680	×1.024	×1.022	17.97%
Doubles /BIP	9.52%	÷1.012	×0.600	×1.024	×1.022	5.91%
Triples /BIP	0.00%	÷1.150	×0.600	×1.024	×1.022	0.00%
Home runs /BIP	2.86%	÷0.876	×0.470	—	×1.022	1.57%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 96, 2B 102, 3B 130, K 93, BB 107 — 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 ×1.024.

Result: wOBA .384 → .264; ISO .140 → .083; BABIP .353 → .243. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#2Angel Berroalast yr '09 career totals — 8 seasons, 2,794 PA	4.2	2,794	46	50	259	303	375	+27	-6	6.7	7.1
/162	664	11	12	+6.5	-1.4	1.6	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.8	3,192	69	52	232	303	357	+34	-22	7.7	6.7
/162	664	14	11	+7.1	-4.7	1.6	pk7: 6
#3U. L. Washington'77-'87 * career totals — 9 seasons, 3,124 PA	4.7	3,124	27	132	246*	313*	363*	+30	-28	4.2	5.1
/162	664	6	28	+6.3	-6.0	0.9	pk7: 6
#4Daniel Descalsolast yr '19 career totals — 9 seasons, 2,856 PA	4.3	2,856	48	25	235	320	363	+16	-36	3.5	4.0
/162	664	11	6	+3.8	-8.3	0.8	pk7: 4
#5Larry Brown'63-'74 * career totals — 11 seasons, 3,871 PA	5.8	3,871	47	22	242*	308*	348*	+32	-24	2.4	3.9
/162	664	8	4	+5.5	-4.1	0.4	pk7: 6
#6Andujar Cedeno'90-'96 * career totals — 6 seasons, 2,233 PA	3.4	2,233	47	26	228*	284*	371*	+24	-20	1.3	1.3
/162	664	14	8	+7.1	-5.8	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
Juan Cabada (OGILVIE)	19	—	—	—	—	221/293/328	107	291	1	2	26%	7%	78	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Max Clark 2024 · A	19	44→53	42→45	51→55	48	207/292/314	106	308	9	11	33%	10%	74	-0.5	238/314/357	119	306	11	17	24%	9%	92	+0.7	245/323/369	124	304	11	19	22%	10%	96	+0.9
✕Termarr Johnson 2023 · A	19	46→53	41→45	52→55	47	212/293/316	104	323	7	14	34%	10%	75	-0.5	217/315/345	128	302	15	12	30%	12%	91	+0.6	218/312/337	119	292	14	14	28%	11%	85	+0.2
✕Canaan Smith-Njigba 2019 · A	20	46→51	41→45	46→55	51	218/304/317	98	298	9	7	28%	10%	79	-0.2	237/308/353	116	333	10	11	29%	9%	88	+0.5	242/319/359	118	343	9	15	29%	10%	91	+0.4
✕Hoy Park 2016 · A	20	40→50	41→45	47→55	46	197/270/297	100	265	8	11	28%	8%	62	-1.4	207/284/295	88	286	5	16	27%	9%	67	-1.1	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Aron Estrada 2024 · A	19	47→54	41→50	52→55	54	220/310/327	107	272	6	9	20%	10%	84	+0.2	247/301/365	118	304	11	21	22%	6%	88	+0.5	258/306/387	130	312	14	21	21%	5%	93	+0.7
✕Bo Naylor 2019 · A	19	45→46	39→55	52→50	46	212/280/301	90	299	6	9	30%	9%	66	-1.1	196/254/318	122	282	11	8	33%	7%	60	-1.6	218/311/396	178	274	21	12	27%	11%	100	+1.0
✕Carlos Rodriguez 2022 · A	19	37	39→45	46→45	53	177/289/262	85	262	6	6	31%	12%	63	-1.4	182/260/254	72	283	5	6	34%	9%	49	-2.4	178/256/266	88	258	7	2	31%	9%	47	-1.0
●Moisés Ballesteros 2023 · A	19	41→51	46→50	45→40	50	210/283/334	125	261	14	5	25%	9%	76	-0.4	248/309/379	131	301	14	4	21%	8%	95	+0.9	266/327/397	130	316	14	3	20%	8%	104	+1.4
✕Randy Florentino 2019 · A	19	43	41→45	45	56	204/303/316	112	273	7	8	26%	12%	79	-0.2	186/265/271	85	280	6	5	33%	9%	55	-2.0	183/231/259	76	238	8	4	26%	5%	37	-1.0
✕Cam Maron 2010 · A	19	47→57	40	50→40	47	223/290/317	95	292	7	7	25%	8%	74	-0.6	241/309/329	88	308	7	5	22%	8%	83	+0.1	245/318/319	74	316	4	2	22%	9%	82	-0.0
✕Jesus Rodriguez 2021 · A	19	45→55	40→45	49→50	48	215/278/314	99	274	7	9	23%	8%	68	-1.0	227/295/327	100	280	6	12	20%	8%	78	-0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕Akil Baddoo 2018 · A	19	46→53	42→50	52→55	49	220/298/335	114	290	7	10	25%	9%	80	-0.1	201/274/317	116	305	8	13	34%	9%	68	-1.0	238/319/386	148	309	15	24	26%	11%	100	+0.9
✕Ronny Hernandez 2024 · A	19	44→53	39→40	49→30	46	211/281/302	91	288	6	4	28%	8%	67	-1.1	227/301/310	83	296	7	3	24%	9%	76	-0.4	229/306/323	94	287	11	1	22%	10%	79	-0.1
✕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
✕Rio Ruiz 2014 · A	20	45→54	44→50	50→40	45	221/278/350	129	289	10	8	27%	7%	76	-0.4	241/308/352	111	311	9	4	23%	9%	88	+0.4	246/316/351	105	316	8	2	23%	9%	88	+0.4
✕Kevyn Castillo 2024 · A	19	49→46	38→50	54→55	53	227/310/317	91	295	4	19	23%	10%	81	-0.1	232/306/336	104	327	8	14	29%	9%	84	+0.1	232/311/351	119	315	11	14	28%	9%	86	+0.2
✕Michael Arroyo 2024 · A	19	44→51	40→50	46→50	49	208/316/308	101	279	6	7	25%	9%	84	+0.1	228/322/372	144	297	15	11	27%	8%	99	+1.3	232/324/382	150	294	16	12	25%	8%	100	+1.3
●Evan Carter 2022 · A	19	47→55	43→50	52→55	56	220/331/337	117	299	9	18	27%	12%	95	+0.9	240/325/389	149	310	14	20	25%	10%	103	+1.6	241/329/398	157	310	15	21	25%	10%	104	+1.1
✕Jonathan Galvez 2010 · A	19	43→51	42→50	50→55	51	209/299/315	106	278	8	12	26%	10%	77	-0.3	225/289/347	122	328	11	16	32%	7%	80	-0.1	244/294/364	120	343	10	23	30%	5%	83	+0.1
✕Victor Mesa Jr. 2021 · A	19	45→46	37→55	49→50	47	212/272/292	80	272	4	8	22%	7%	61	-1.5	214/265/314	100	290	7	9	27%	6%	63	-1.4	238/297/408	169	279	21	11	23%	7%	95	+0.5

Juan Cabada

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps