Jesus Pinto

OF Lakeland Flying Tigers

Age 20 R/R 5'11" / 180 lbs A HR -8% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#460ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Tigers 2	196	.275/.405/.438	4	16	57	—	.179/.292/.274
2025	18	A/ROKDET	143	.231/.296/.338	3	9	36	—	.187/.233/.283
2026	19	ADET	437	.272/.371/.384	6	25	85	—	.246/.320/.340
2027PROJMLE	20	MLBDET	547	.248/.318/.348	7	16	90	0.3
2028PROJ31% MLB	21	MLBDET	120	.248/.320/.359	2	4	96	0.2
2029PROJ48% MLB	22	MLBDET	208	.251/.324/.371	4	7	101	0.4

Next 3 projected WAR 0.9Projected 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

Z-Con%87

Speed82

Max EV80

Whiff%77

K%76

Chase%63

Career WAR0.0 WAR median (P10 -0.5 / P90 12, comp-based) · star 2% · didn't stick 81%

CompsJahmai Jones (age 20) · Hao-Yu Lee (age 21) · Sal Stewart (age 20)

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

wRC+†90

AVG/OBP/SLG.246 / .315 / .345

PA210

HR3

SB6

K%23

BB%8

ISO100

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$36M ctrl surplus

Contract

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	+0.9	$2M	+$2M
2033	Pre-Arb	$0.9M	+1.0	$5M	+$5M
2034	Pre-Arb	$1.0M	+0.9	$2M	+$2M
2035	Arb-1	$3M	+0.7	$2M	+$0.1M
2036	Arb-2	$4M	+0.5	$1M	+$0.0M (cut)
2037	Arb-3	$4M	+0.3	$0.6M	+$0.0M (cut)
Totals		$6M		$13M	+$8M

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 Tigers 2	—	196	160	44	12	1	4	30	41	5	16	9	275	405	438	843	162	345	21	15	380	57	—	—	—	—	—	—
2025	18	A	Lakeland Flying Tigers	—	52	47	13	2	0	0	3	13	1	3	1	277	333	319	652	43	371	25	6	295	51	—	—	—	—	—	—
2025	18	ROK	FCL Tigers	—	91	83	17	3	0	3	7	17	1	6	3	205	275	349	624	145	222	19	8	282	28	—	—	—	—	—	—
2026	19	A	Lakeland Flying Tigers	—	437	375	102	16	4	6	56	81	3	25	8	272	371	384	755	112	330	19	13	342	85	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tigers 2	—	196	168	30	8	1	2	22	51	5	16	9	179	292	274	566	95	232	26	11	252	57	—	—	—	—	—	—
2025	18	A MLE	Lakeland Flying Tigers	—	52	48	11	2	0	0	2	18	1	3	1	229	275	271	545	42	339	35	4	243	51	—	—	—	—	—	—
2025	18	ROK MLE	FCL Tigers	—	91	86	14	2	0	3	4	24	1	6	3	163	209	291	499	128	187	26	4	210	28	—	—	—	—	—	—
2026	19	A MLE	Lakeland Flying Tigers	—	437	391	96	14	4	5	40	110	3	25	8	246	320	340	660	95	323	25	9	294	85	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 2	—	196	168	30	8	1	2	22	51	5	16	9	179	292	274	566	95	241	26	11	252	57	—	—	—	—	—	—
2024	17	ROK RAW	DSL Tigers 2	—	196	160	44	12	1	4	30	41	5	16	9	275	405	438	843	162	345	21	15	380	57	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	143	133	25	4	0	3	7	42	2	9	4	188	239	286	525	98	247	29	5	222	36	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	143	130	30	5	0	3	10	30	2	9	4	231	296	338	634	108	276	21	7	287	36	—	—	—	—	—	—
2026	19	A MLE	Lakeland Flying Tigers	—	437	391	96	14	4	5	40	110	3	25	8	246	320	340	660	95	326	25	9	294	85	—	—	—	—	—	—
2026	19	A RAW	Lakeland Flying Tigers	—	437	375	102	16	4	6	56	81	3	25	8	272	371	384	755	112	330	19	13	342	85	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 2	—	196	167	30	8	1	2	22	51	5	16	9	180	292	275	568	96	232	26	11	252	57	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	143	133	25	4	0	3	7	42	2	9	4	188	239	286	525	98	242	29	5	222	36	—	—	—	—	—	—
2026	19	A MLE	Lakeland Flying Tigers	—	437	391	96	14	4	5	40	110	3	25	8	246	320	340	660	95	323	25	9	294	85	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Tigers 2	—	196	167	30	8	1	2	22	51	5	16	9	180	292	275	568	96	232	26	11	252	57	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	143	133	25	4	0	3	7	42	2	9	4	188	239	286	525	98	242	29	5	222	36	—	—	—	—	—	—
2026	19	A MLE	Lakeland Flying Tigers	—	437	391	96	14	4	5	40	110	3	25	8	246	320	340	660	95	323	25	9	294	85	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	DET	0%	547	492	122	20	4	7	46	125	4	16	5	248	318	348	665	100	315	23	8	301	90	-7	+1	+0	-3	+12	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	DET	31%	386	347	88	14	3	7	33	86	3	12	4	252	324	366	690	114	315	22	9	310	96	-2	+1	+0	-2	+8	0.5
2029	22	MLB MLE	DET	48%	434	389	99	16	3	9	38	95	4	14	4	255	328	379	707	124	315	22	9	317	101	+0	+1	+0	-3	+9	0.9
2030	23	MLB MLE	DET	57%	480	431	110	18	3	10	42	104	4	15	5	257	330	388	717	130	314	22	9	321	103	+2	+1	+0	-3	+10	1.1
2031	24	MLB MLE	DET	60%	534	477	124	21	4	12	47	115	5	17	5	258	331	393	724	134	314	22	9	323	105	+3	+1	+0	-3	+12	1.4
2032	25	MLB MLE	DET	62%	587	525	136	23	4	14	52	127	5	18	6	258	331	395	726	137	313	22	9	324	106	+4	+1	+0	-4	+13	1.5
2033	26	MLB MLE	DET	63%	597	534	138	23	4	14	53	129	5	18	6	258	331	394	725	137	313	22	9	324	105	+4	+1	+0	-4	+13	1.5
2034	27	MLB MLE	DET	62%	594	531	137	23	4	14	53	129	5	18	6	257	330	392	721	135	312	22	9	323	104	+3	+1	+0	-4	+13	1.4
2035	28	MLB MLE	DET	62%	585	523	133	22	4	13	52	129	5	15	5	255	328	387	715	132	311	22	9	320	103	+2	+1	-0	-4	+13	1.2
2036	29	MLB MLE	DET	60%	566	507	127	21	3	12	50	126	4	12	5	252	325	380	705	128	310	22	9	316	100	-0	+0	-1	-3	+12	0.8
2037	30	MLB MLE	DET	59%	552	495	122	20	3	11	48	125	4	9	4	249	321	372	693	123	308	23	9	311	97	-2	+0	-2	-3	+12	0.5
2038	31	MLB MLE	DET	64%	534	479	117	19	3	10	46	123	4	5	3	245	316	362	678	118	305	23	9	305	93	-5	-0	-2	-3	+12	0.1
2039	32	MLB MLE	DET	68%	511	459	110	18	3	9	44	120	3	1	2	239	310	349	659	110	301	23	9	297	87	-8	-1	-3	-3	+11	-0.3
2028	21	MLB CTX	DET	31%	120	108	27	4	1	2	10	27	1	4	1	248	320	359	679	110	310	22	8	306	96	-1	+0	+0	-1	+3	0.2
2029	22	MLB CTX	DET	48%	208	186	47	8	1	4	18	46	2	7	2	251	324	371	695	120	310	22	9	312	101	+0	+1	+0	-1	+5	0.4
2030	23	MLB CTX	DET	57%	273	245	62	10	2	6	24	59	2	9	3	253	326	379	705	126	309	22	9	316	103	+1	+1	+0	-2	+6	0.6
2031	24	MLB CTX	DET	60%	321	287	73	12	2	7	28	69	3	10	3	254	327	384	711	130	309	21	9	318	105	+2	+1	+0	-2	+7	0.8
2032	25	MLB CTX	DET	62%	364	326	82	14	2	8	32	79	3	11	4	254	327	386	713	132	308	22	9	319	106	+2	+1	+0	-2	+8	0.9
2033	26	MLB CTX	DET	63%	377	337	84	14	2	8	34	82	3	12	4	253	327	385	712	132	308	22	9	319	105	+2	+1	+0	-2	+8	1.0
2034	27	MLB CTX	DET	62%	371	332	83	14	2	8	33	81	3	11	4	252	326	383	709	130	307	22	9	317	104	+2	+1	+0	-2	+8	0.9
2035	28	MLB CTX	DET	62%	363	325	82	14	2	8	32	80	3	9	3	250	324	378	702	128	306	22	9	315	103	+1	+1	-0	-2	+8	0.7
2036	29	MLB CTX	DET	60%	342	306	76	13	2	7	30	76	3	7	3	248	321	372	693	124	305	22	9	311	100	-0	+0	-1	-2	+7	0.5
2037	30	MLB CTX	DET	59%	328	294	73	12	2	7	29	74	2	5	2	245	317	364	681	119	303	23	9	306	97	-1	+0	-1	-2	+7	0.3
2038	31	MLB CTX	DET	64%	344	309	74	12	2	6	30	79	2	3	2	241	312	354	667	114	300	23	9	300	93	-3	-0	-2	-2	+7	0.1
2039	32	MLB CTX	DET	68%	349	314	74	12	2	6	30	82	2	1	2	235	306	342	648	107	296	23	9	293	87	-5	-1	-2	-2	+8	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3760	3369	837	139	22	77	330	834	29	89	33	248	321	371	692	123	307	22	9	311	97	+1	+5	-4	-23	+81	6.2
/ 162G	—	A+C		—	650	582	145	24	4	13	57	144	5	15	6	249	321	371	693	122	308	22	9	311	97	+0	+1	-1	-4	+14	1.1
Career	—	MLE		—	7346	6577	1639	272	47	148	645	1659	63	210	78	249	322	372	695	123	310	23	9	311	97	-1	+9	-6	-39	+142	10.8
/ 162G	—	MLE		—	650	582	145	24	4	13	57	147	6	19	7	249	322	371	694	122	311	23	9	311	97	-0	+1	-1	-4	+14	1.1

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 ALakeland Flying Tigers · 437 PAwOBA .336 → .294 (−43)K% 18.5% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.54%	÷1.000	×1.360	—	—	25.21%
BB% (unintentional) /PA	12.81%	÷1.000	×0.690	—	×1.045	9.24%
HBP% /PA	0.69%	—	×0.780	—	×1.045	0.56%
Singles /BIP	25.85%	÷1.000	×0.920	×1.041	×1.045	25.87%
Doubles /BIP	5.44%	÷1.000	×0.830	×1.041	×1.045	4.91%
Triples /BIP	1.36%	÷1.000	×0.910	×1.041	×1.045	1.35%
Home runs /BIP	2.04%	÷1.000	×0.800	—	×1.045	1.71%

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 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.

Result: wOBA .336 → .294; ISO .112 → .096; BABIP .330 → .323. 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 Tigers · 91 PAwOBA .274 → .210 (−64)K% 18.7% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.68%	÷1.001	×1.440	—	—	26.87%
BB% (unintentional) /PA	7.69%	÷0.996	×0.620	—	×1.022	4.90%
HBP% /PA	1.10%	—	×0.720	—	×1.022	0.81%
Singles /BIP	16.67%	÷0.974	×0.820	×1.013	×1.022	14.53%
Doubles /BIP	4.55%	÷0.992	×0.720	×1.013	×1.022	3.42%
Triples /BIP	0.00%	÷0.900	×0.720	×1.013	×1.022	0.00%
Home runs /BIP	4.55%	÷0.880	×0.780	—	×1.022	4.12%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 95, 2B 98, 3B 80, K 100, BB 99 — 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 ×1.013.

Result: wOBA .274 → .210; ISO .145 → .117; BABIP .222 → .187. 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 ALakeland Flying Tigers · 52 PAwOBA .293 → .243 (−51)K% 25.0% → 34.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.998	×1.360	—	—	34.05%
BB% (unintentional) /PA	5.77%	÷0.945	×0.690	—	×1.050	4.42%
HBP% /PA	1.92%	—	×0.780	—	×1.050	1.58%
Singles /BIP	32.35%	÷1.051	×0.920	—	×1.050	29.73%
Doubles /BIP	5.88%	÷0.971	×0.830	—	×1.050	5.28%
Triples /BIP	0.00%	÷1.150	×0.910	—	×1.050	0.00%
Home runs /BIP	0.00%	÷0.864	×0.800	—	×1.050	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 110, 2B 94, 3B 130, K 100, BB 89 — 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).

Result: wOBA .293 → .243; ISO .043 → .035; BABIP .371 → .339. 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 Tigers 2 · 196 PAwOBA .372 → .252 (−120)K% 20.9% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.92%	÷0.986	×1.220	—	—	25.88%
BB% (unintentional) /PA	15.31%	÷0.973	×0.700	—	×1.022	11.26%
HBP% /PA	2.55%	—	×0.700	—	×1.022	1.83%
Singles /BIP	22.69%	÷0.995	×0.680	×1.008	×1.022	15.98%
Doubles /BIP	10.08%	÷0.951	×0.600	×1.008	×1.022	6.55%
Triples /BIP	0.84%	÷1.135	×0.600	×1.008	×1.022	0.46%
Home runs /BIP	3.36%	÷0.995	×0.470	—	×1.022	1.62%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 99, 2B 90, 3B 127, K 97, BB 95 — 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 ×1.008.

Result: wOBA .372 → .252; ISO .163 → .092; BABIP .345 → .232. 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
#1Gerardo Parralast yr '21 career totals — 12 seasons, 5,290 PA	8.0	5,290	90	97	275	322	403	-51	+11	12.3	12.3
/162	664	11	12	-6.3	+1.4	1.5	pk7: 12
#2Michael Tucker'95-'06 * career totals — 12 seasons, 4,686 PA	7.1	4,686	125	114	246*	326*	410*	-44	+9	9.4	9.1
/162	664	18	16	-6.3	+1.3	1.3	pk7: 9
#3Rob Mackowiaklast yr '08 career totals — 8 seasons, 2,618 PA	3.9	2,618	64	49	259	332	405	-11	-3	8.7	8.9
/162	664	16	12	-2.7	-0.8	2.2	pk7: 9
#4Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.0	3,970	84	95	254	322	381	-24	+0	8.9	7.9
/162	664	14	16	-4.0	+0.0	1.5	pk7: 7
#5Billy Sample'78-'86 * career totals — 8 seasons, 2,798 PA	4.2	2,798	46	98	267*	328*	405*	-26	-0	6.9	7.1
/162	664	11	23	-6.2	-0.0	1.6	pk7: 7
#6Billy Hatcher'84-'95 * career totals — 10 seasons, 4,752 PA	7.2	4,752	54	218	261*	310*	385*	-20	-5	4.9	6.8
/162	664	8	30	-2.9	-0.7	0.7	pk7: 9

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
Jesus Pinto (OGILVIE)	20	—	—	—	—	246/315/345	99	315	3	6	23%	8%	90	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Jahmai Jones 2018 · A	20	49→51	43→50	51→50	43	238/290/350	111	304	9	16	24%	6%	81	-0.1	214/275/316	102	282	8	13	26%	7%	68	-1.0	250/346/426	175	326	16	18	26%	11%	116	+1.4
✕Hao-Yu Lee 2024 · A	21	49→51	43→50	50→55	46	237/307/351	113	309	11	15	26%	8%	88	+0.4	250/313/394	144	313	14	16	23%	7%	100	+1.3	253/317/409	156	313	15	15	23%	7%	103	+1.2
●Sal Stewart 2024 · A	20	49→53	43→55	48→50	55	236/321/346	110	286	11	10	21%	11%	92	+0.7	249/321/397	148	298	16	12	21%	9%	104	+1.6	255/323/425	170	297	21	13	21%	8%	109	+1.8
●Royce Lewis 2019 · A	20	49→51	43→60	53→50	45	240/293/355	115	293	11	17	22%	6%	83	+0.1	213/260/318	105	291	9	15	29%	5%	62	-1.4	262/323/475	213	304	29	14	24%	8%	123	+1.4
✕Aidan Miller 2024 · A	20	49→50	38→50	52→65	47	228/303/310	83	316	4	12	27%	8%	77	-0.3	227/310/359	132	312	11	28	28%	9%	91	+0.7	224/315/364	140	306	12	36	28%	10%	91	+0.5
●Josue De Paula 2024 · A	19	52→54	38→50	51→55	52	242/326/327	85	316	5	14	23%	10%	89	+0.5	236/331/360	124	307	12	20	25%	12%	99	+1.3	241/338/391	150	298	16	24	23%	12%	106	+1.5
✕Nacho Alvarez Jr. 2024 · A	21	51→54	40	50	50	241/318/332	91	306	7	13	22%	9%	88	+0.4	240/315/330	90	307	8	14	22%	8%	86	+0.3	238/317/323	85	303	7	15	22%	8%	83	+0.1
✕Victor Robles 2017 · A	20	52→54	42→50	57→60	43	248/321/362	113	307	8	24	21%	5%	96	+1.0	250/317/385	135	312	10	24	22%	5%	99	+1.3	251/319/400	149	311	12	27	22%	5%	103	+1.2
✕Luke Adams 2023 · A	19	50→39	41→50	55	45	232/308/333	101	332	7	18	30%	8%	84	+0.2	200/335/326	126	277	12	20	29%	12%	95	+1.0	200/355/358	159	246	17	19	24%	12%	108	+1.1
✕Pedro Ramírez 2024 · A	20	48→57	42→45	51→55	48	234/298/345	111	291	9	14	22%	7%	82	+0.0	255/308/360	105	318	8	17	21%	6%	90	+0.6	265/318/375	110	323	9	22	20%	6%	95	+0.8
✕Blaze Alexander 2019 · A	20	48→50	43→50	52→50	43	227/289/346	119	322	8	10	30%	7%	80	-0.2	205/274/309	104	307	9	11	34%	7%	66	-1.1	246/324/371	124	344	12	15	29%	8%	98	+0.8
✕Ricky Cabrera 2024 · A	19	48→44	40→45	57→60	43	224/310/324	99	311	7	18	28%	7%	84	+0.1	216/282/315	99	309	8	12	31%	6%	71	-0.8	213/277/319	106	299	10	14	30%	5%	67	-0.8
●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
●Miguel Vargas 2021 · A	21	52→54	41→55	49→50	47	247/303/352	105	306	7	9	21%	7%	86	+0.3	252/315/407	155	298	16	11	21%	8%	103	+1.6	226/328/409	183	251	21	13	19%	12%	110	+2.0
●Jose Tabata 2009 · AA	20	57→62	40→45	52→55	44	269/321/357	88	334	7	15	21%	6%	93	+0.8	277/329/376	99	325	7	21	16%	6%	101	+1.4	284/341/385	101	328	6	26	14%	7%	107	+1.5
●J.P. Crawford 2015 · A	20	54→57	41→45	46→50	52	258/327/358	100	312	9	15	20%	9%	96	+1.0	243/315/344	101	290	8	10	18%	9%	88	+0.5	261/352/384	123	304	11	2	17%	11%	113	+2.4
✕James Triantos 2023 · A	20	50→59	42→45	53→60	43	241/287/350	109	301	9	12	23%	5%	80	-0.2	253/301/351	98	299	7	24	17%	5%	84	+0.2	270/312/373	104	312	8	35	15%	5%	91	+0.6
✕Jacob Amaya 2019 · A	20	49→47	39→45	48→45	52	232/310/319	87	306	7	11	25%	10%	82	-0.0	216/290/316	100	284	8	6	25%	9%	74	-0.6	218/291/330	112	279	11	6	25%	9%	75	-0.4
●Luke Keaschall 2024 · A	21	49→58	44→45	56→55	46	237/309/366	129	311	10	16	26%	8%	92	+0.7	257/344/386	129	308	12	23	20%	9%	110	+2.1	267/360/392	125	312	12	25	17%	9%	117	+2.0
✕Luis Matos 2021 · A	19	51→58	44→50	53→50	45	249/309/372	124	290	10	14	18%	5%	94	+0.9	242/288/368	126	279	13	13	18%	5%	84	+0.2	246/298/398	152	258	18	13	13%	6%	95	+0.7

Jesus Pinto

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps