Jesus Lopez

C Hickory Crawdads

Age 22 L/R 6'1" / 180 lbs A HR +15%BB +5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#954ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	18	ROKTEX	53	.289/.396/.644	3	0	75	—	.191/.283/.404
2024	19	ADown East Woo…	232	.242/.307/.351	3	1	47	—	.199/.251/.278
2025	20	A/ROKTEX	122	.121/.275/.192	1	0	-2	—	.094/.201/.149
2027PROJMLE	22	MLBTEX	232	.216/.279/.330	4	2	72	0.1
2028PROJ34% MLB	23	MLBTEX	32	.221/.285/.347	1	0	77	0.0
2029PROJ46% MLB	24	MLBTEX	77	.224/.289/.357	2	1	80	0.1

Next 3 projected WAR 0.3Projected 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 2025 A

BB%65

ISO52

Z-Con%45

K%40

Whiff%33

Chase%24

CompsDarrien Miller (age 23) · Johnny Monell (age 22) · Zach Fisher (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 55 proj PA

wRC+†72

AVG/OBP/SLG.214 / .277 / .327

PA55

HR1

K%27

BB%7

ISO113

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Tools · 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	+0.4	$1M	+$0.6M
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Arb-1	$0.6M	—	—	—
2036	Arb-2	$5M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.8M

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. 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)
2022	17	ROK	DSL TEX Blue	—	138	110	26	8	0	3	22	17	4	4	3	236	382	391	773	155	250	12	16	351	40	—	—	—	—	—	—
2023	18	ROK	ACL Rangers	—	53	45	13	3	2	3	5	13	3	0	0	289	396	644	1.041	356	345	25	9	444	75	—	—	—	—	—	—
2024	19	A	Down East Wood Ducks	—	232	211	51	12	1	3	18	68	2	1	2	242	307	351	658	109	340	29	8	297	47	—	—	—	—	—	—
2025	20	A	Hickory Crawdads	—	91	78	10	4	0	1	12	23	1	0	1	128	253	218	471	90	167	25	13	229	-4	—	—	—	—	—	—
2025	20	ROK	ACL Rangers	—	31	21	2	0	0	0	8	4	0	0	1	95	345	95	440		105	13	26	238	5	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL TEX Blue	—	138	116	17	5	0	1	16	22	4	4	3	147	272	216	488	69	157	16	12	228	40	—	—	—	—	—	—
2023	18	ROK MLE	ACL Rangers	—	53	47	9	2	1	2	3	20	3	0	0	191	283	404	687	213	256	38	6	279	75	—	—	—	—	—	—
2024	19	A MLE	Down East Wood Ducks	—	232	216	43	9	1	2	13	90	2	1	2	199	251	278	529	79	327	39	6	237	47	—	—	—	—	—	—
2025	20	A MLE	Hickory Crawdads	—	91	82	8	3	0	1	8	32	1	0	1	98	187	171	358	73	142	35	9	163	-4	—	—	—	—	—	—
2025	20	ROK MLE	ACL Rangers	—	31	24	2	0	0	0	5	6	0	0	1	83	241	83	325		88	19	16	175	5	—	—	—	—	—	—
2022	17	ROK MLE	DSL TEX Blue	—	138	116	17	5	0	1	16	22	4	4	3	147	272	216	488	69	168	16	12	228	40	—	—	—	—	—	—
2022	17	ROK RAW	DSL TEX Blue	—	138	110	26	8	0	3	22	17	4	4	3	236	382	391	773	155	250	12	16	351	40	—	—	—	—	—	—
2023	18	ROK MLE	ACL Rangers	—	53	47	9	2	1	2	3	20	3	0	0	191	283	404	687	213	280	38	6	279	75	—	—	—	—	—	—
2023	18	ROK RAW	ACL Rangers	—	53	45	13	3	2	3	5	13	3	0	0	289	396	644	1.041	356	345	25	9	444	75	—	—	—	—	—	—
2024	19	A MLE	Down East Wood Ducks	—	232	216	43	9	1	2	13	90	2	1	2	199	251	278	529	79	328	39	6	237	47	—	—	—	—	—	—
2024	19	A RAW	Down East Wood Ducks	—	232	211	51	12	1	3	18	68	2	1	2	242	307	351	658	109	340	29	8	297	47	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	122	106	10	3	0	1	13	38	1	0	2	94	200	151	351	57	130	31	11	166	-1	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	122	99	12	4	0	1	20	27	1	0	2	121	275	192	467	71	151	22	16	231	-1	—	—	—	—	—	—
2022	17	ROK MLE	DSL TEX Blue	—	138	117	17	5	0	1	16	22	4	4	3	145	272	214	486	68	157	16	12	228	40	—	—	—	—	—	—
2023	18	ROK MLE	ACL Rangers	—	53	47	9	2	1	2	3	20	3	0	0	191	283	404	687	213	256	38	6	279	75	—	—	—	—	—	—
2024	19	A MLE	Down East Wood Ducks	—	232	215	43	9	1	2	13	90	2	1	2	200	251	279	530	79	327	39	6	237	47	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	122	107	10	3	0	1	13	38	1	0	2	93	200	150	350	56	128	31	11	166	-1	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Down East Wood Ducks	—	232	215	43	9	1	2	13	90	2	1	2	200	251	279	530	79	327	39	6	237	47	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	122	107	10	3	0	1	13	38	1	0	2	93	200	150	350	56	128	31	11	166	-1	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	TEX	0%	232	212	45	9	1	4	16	63	2	2	1	216	279	330	609	113	284	27	7	274	72	-8	+0	+0	+4	+5	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	TEX	34%	92	84	19	3	1	2	7	25	1	1	0	220	284	342	627	122	286	27	8	281	77	-3	+0	+0	+2	+2	0.1
2029	24	MLB MLE	TEX	46%	167	151	34	6	1	4	12	44	2	1	0	224	288	352	640	129	287	26	7	287	80	-4	+0	+0	+3	+4	0.3
2030	25	MLB MLE	TEX	52%	235	214	48	9	1	6	17	62	2	2	1	226	291	359	650	133	287	26	7	291	83	-5	+0	+0	+4	+5	0.5
2031	26	MLB MLE	TEX	54%	292	265	60	11	2	7	22	76	3	2	1	227	293	364	656	137	287	26	8	293	85	-5	+0	+0	+5	+6	0.6
2032	27	MLB MLE	TEX	54%	324	293	67	13	2	8	25	84	3	2	1	227	293	363	656	136	287	26	8	293	85	-6	+0	+0	+6	+7	0.7
2033	28	MLB MLE	TEX	54%	340	308	69	13	2	8	26	89	3	2	1	225	291	358	649	133	286	26	8	291	83	-7	+0	-1	+6	+7	0.6
2034	29	MLB MLE	TEX	53%	341	309	69	13	2	8	26	90	3	2	2	222	288	352	640	130	285	26	8	287	80	-8	-0	-1	+6	+7	0.4
2035	30	MLB MLE	TEX	52%	336	305	67	13	2	7	25	90	3	2	3	219	284	344	629	125	283	27	7	282	77	-9	-1	-2	+6	+7	0.1
2036	31	MLB MLE	TEX	52%	307	279	59	11	1	6	23	83	2	2	3	215	279	334	614	119	279	27	7	276	73	-10	-1	-3	+5	+7	-0.1
2028	23	MLB CTX	TEX	34%	32	30	6	1	0	1	2	9	0	0	0	221	285	347	632	126	285	28	6	283	77	-1	+0	+0	+1	+1	0.0
2029	24	MLB CTX	TEX	46%	77	70	16	3	0	2	6	20	1	1	0	224	289	357	646	133	286	26	8	289	80	-2	+0	+0	+1	+2	0.1
2030	25	MLB CTX	TEX	52%	121	110	25	4	1	3	9	32	1	1	0	227	292	364	656	138	287	26	7	293	83	-2	+0	+0	+2	+3	0.3
2031	26	MLB CTX	TEX	54%	158	144	33	6	1	4	12	41	1	1	0	228	294	369	663	141	287	26	8	296	85	-3	+0	+0	+3	+3	0.4
2032	27	MLB CTX	TEX	54%	176	159	37	7	1	5	13	46	2	1	0	228	294	369	663	141	287	26	7	296	85	-3	+0	+0	+3	+4	0.4
2033	28	MLB CTX	TEX	54%	184	166	38	7	1	5	14	48	2	1	1	226	292	364	656	138	286	26	8	293	83	-4	-0	-0	+3	+4	0.3
2034	29	MLB CTX	TEX	53%	181	163	38	7	1	5	14	48	2	1	1	223	289	357	646	134	284	27	8	289	80	-4	-0	-1	+3	+4	0.2
2035	30	MLB CTX	TEX	52%	176	160	35	6	1	4	13	47	1	1	2	220	285	349	634	129	282	27	7	284	77	-5	-1	-1	+3	+4	0.0
2036	31	MLB CTX	TEX	52%	160	146	33	6	1	4	12	43	1	1	2	216	280	339	619	123	279	27	8	278	73	-5	-1	-1	+3	+3	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1265	1148	261	47	7	33	95	334	11	8	6	227	293	367	659	139	289	26	8	290	73	-29	-1	-4	+23	+27	1.7
/ 162G	—	A+C		—	650	590	134	24	4	17	49	172	6	4	3	227	293	368	661	141	289	26	8	290	73	-15	-0	-2	+12	+14	0.9
Career	—	MLE		—	3034	2743	581	113	16	63	232	828	33	22	19	212	281	334	615	122	277	27	8	275	73	-58	-1	-7	+44	+54	3.2
/ 162G	—	MLE		—	650	588	123	24	3	13	50	177	7	5	4	209	280	327	606	117	274	27	8	275	73	-15	-0	-2	+12	+14	0.8

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.

2025 AHickory Crawdads · 91 PAwOBA .224 → .163 (−61)K% 25.3% → 35.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.27%	÷0.981	×1.360	—	—	35.04%
BB% (unintentional) /PA	13.19%	÷1.051	×0.690	—	×1.030	8.92%
HBP% /PA	1.10%	—	×0.780	—	×1.030	0.88%
Singles /BIP	9.09%	÷1.002	×0.920	×0.988	×1.030	8.49%
Doubles /BIP	7.27%	÷1.123	×0.830	×0.988	×1.030	5.47%
Triples /BIP	0.00%	÷1.039	×0.910	×0.988	×1.030	0.00%
Home runs /BIP	1.82%	÷1.037	×0.800	—	×1.030	1.45%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 100, 2B 125, 3B 108, K 96, BB 110 — 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 ×0.988.

Result: wOBA .224 → .163; ISO .090 → .063; BABIP .167 → .142. 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 ROKACL Rangers · 31 PAwOBA .251 → .175 (−76)K% 12.9% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.90%	÷0.981	×1.440	—	—	18.95%
BB% (unintentional) /PA	25.81%	÷1.016	×0.620	—	×0.995	15.67%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	11.76%	÷0.991	×0.820	—	×0.995	9.68%
Doubles /BIP	0.00%	÷1.017	×0.720	—	×0.995	0.00%
Triples /BIP	0.00%	÷1.138	×0.720	—	×0.995	0.00%
Home runs /BIP	0.00%	÷1.302	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 160, 1B 98, 2B 103, 3B 128, K 96, BB 103 — 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).

Result: wOBA .251 → .175; ISO .000 → .000; BABIP .105 → .088. 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 ADown East Wood Ducks · 232 PAwOBA .291 → .237 (−54)K% 29.3% → 39.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.31%	÷1.022	×1.360	—	—	39.02%
BB% (unintentional) /PA	7.76%	÷0.983	×0.690	—	×1.045	5.69%
HBP% /PA	0.86%	—	×0.780	—	×1.045	0.70%
Singles /BIP	24.48%	÷0.973	×0.920	×1.004	×1.045	24.28%
Doubles /BIP	8.39%	÷0.978	×0.830	×1.004	×1.045	7.48%
Triples /BIP	0.70%	÷1.150	×0.910	×1.004	×1.045	0.58%
Home runs /BIP	2.10%	÷1.008	×0.800	—	×1.045	1.74%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 95, 2B 96, 3B 130, K 104, BB 97 — 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 ×1.004.

Result: wOBA .291 → .237; ISO .109 → .083; BABIP .340 → .327. 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).

2023 ROKACL Rangers · 53 PAwOBA .432 → .279 (−153)K% 24.5% → 37.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.53%	÷0.940	×1.440	—	—	37.57%
BB% (unintentional) /PA	9.43%	÷0.973	×0.620	—	×1.022	6.14%
HBP% /PA	5.66%	—	×0.720	—	×1.022	4.17%
Singles /BIP	15.62%	÷1.003	×0.820	—	×1.022	13.06%
Doubles /BIP	9.38%	÷1.032	×0.720	—	×1.022	6.69%
Triples /BIP	6.25%	÷1.114	×0.720	—	×1.022	4.13%
Home runs /BIP	9.38%	÷1.124	×0.780	—	×1.022	6.65%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 125, 1B 101, 2B 106, 3B 123, K 88, BB 95 — 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 .432 → .279; ISO .356 → .214; BABIP .345 → .256. 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).

2022 DSLDSL TEX Blue · 138 PAwOBA .347 → .228 (−119)K% 12.3% → 15.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.32%	÷0.964	×1.220	—	—	15.59%
BB% (unintentional) /PA	15.94%	÷0.998	×0.700	—	×1.022	11.44%
HBP% /PA	2.90%	—	×0.700	—	×1.022	2.07%
Singles /BIP	16.13%	÷0.982	×0.680	×0.950	×1.022	10.85%
Doubles /BIP	8.60%	÷1.007	×0.600	×0.950	×1.022	4.98%
Triples /BIP	0.00%	÷1.006	×0.600	×0.950	×1.022	0.00%
Home runs /BIP	3.23%	÷1.148	×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 130, 1B 96, 2B 101, 3B 101, K 93, BB 100 — 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 ×0.950.

Result: wOBA .347 → .228; ISO .155 → .080; BABIP .250 → .157. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy 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
#3Chris Widger'95-'06 * career totals — 8 seasons, 1,998 PA	3.0	1,998	55	10	227*	283*	381*	+33	-0	3.6	4.1
/162	664	18	3	+11.1	-0.2	1.2	pk7: 5
#4Ben 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.0	1,320	30	8	224	286	354	+24	+24	2.8	2.7
/162	664	15	4	+11.9	+12.1	1.4	pk7: 3
#5Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
#6Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2

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 Lopez (OGILVIE)	22	—	—	—	—	214/277/327	112	284	1	1	27%	7%	72	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Darrien Miller 2024 · A	23	39→42	44→45	48→45	47	194/289/310	116	258	12	6	28%	9%	74	-0.6	192/313/294	102	262	8	5	27%	11%	80	-0.2	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Johnny Monell 2008 · A	22	43	43→50	44→45	47	212/287/326	114	278	11	8	27%	8%	75	-0.5	230/291/359	129	287	12	8	23%	7%	84	+0.1	225/286/348	123	283	13	8	24%	7%	78	-0.2
✕Zach Fisher 2014 · A	22	43	43→50	43→30	45	211/265/327	115	253	10	3	21%	6%	66	-1.1	227/276/350	123	291	12	4	25%	6%	76	-0.4	239/284/380	141	298	15	0	25%	6%	83	+0.0
✕Isan Díaz 2018 · A	22	40→43	47→55	45	43	202/273/336	134	296	14	8	35%	8%	72	-0.7	214/284/363	149	300	16	8	32%	8%	82	+0.0	212/290/379	167	275	21	5	30%	9%	86	+0.2
✕Matt Wallach 2008 · A	22	44	42→45	45→40	44	217/280/322	105	275	9	5	24%	6%	72	-0.7	206/259/327	121	267	12	3	27%	6%	64	-1.3	213/285/325	112	244	13	3	18%	7%	74	-0.2
✕Drew Robinson 2014 · A	22	44→43	43→55	49→50	46	211/294/330	119	311	10	8	33%	9%	78	-0.3	196/273/340	144	288	15	11	35%	9%	73	-0.6	211/288/384	173	313	19	12	36%	9%	85	+0.2
✕Brian Holberton 2014 · A	22	41	45	47→30	51	207/289/328	121	249	13	6	22%	9%	77	-0.3	213/274/318	105	250	9	3	18%	7%	68	-1.0	210/270/316	106	240	9	1	16%	7%	64	-0.6
✕Dom Nuñez 2017 · A	22	43→46	45→50	45	47	219/277/333	115	267	14	7	24%	7%	72	-0.7	199/275/317	118	257	14	8	27%	9%	69	-0.9	181/265/328	147	236	18	5	31%	9%	68	-0.5
✕Carlos Soto 2021 · A	22	42	41→45	47→30	41	207/267/304	97	289	9	5	31%	6%	62	-1.4	193/273/308	115	277	10	3	31%	9%	66	-1.1	168/258/285	117	236	11	0	32%	10%	54	-0.8
✕Trey Hair 2018 · A	23	43	48→55	51→45	44	217/286/366	149	280	15	6	27%	7%	84	+0.2	225/285/338	113	297	8	7	26%	6%	76	-0.4	215/274/384	169	274	21	5	29%	5%	81	-0.0
✕Alexander Campos 2022 · A	22	43	42→40	46→45	49	206/292/311	105	279	9	6	28%	9%	74	-0.6	222/303/310	88	316	7	6	29%	9%	78	-0.3	239/331/311	72	336	7	6	28%	11%	86	+0.1
✕Luke Shliger 2024 · A	22	48	39→40	47→50	46	228/295/315	87	300	6	9	25%	7%	75	-0.5	216/309/312	96	303	8	12	28%	10%	80	-0.1	213/312/314	101	295	10	14	28%	11%	82	-0.0
✕Bo Naylor 2021 · A	21	41→46	44→55	51→50	42	206/261/333	127	283	11	7	30%	7%	66	-1.1	204/287/354	150	283	17	13	32%	10%	82	-0.0	218/311/396	178	274	21	12	27%	11%	100	+1.0
✕Anthony Seigler 2022 · A	23	41→40	42→45	44→55	45	198/274/307	110	297	9	6	34%	9%	66	-1.1	190/290/299	109	249	10	15	25%	12%	71	-0.8	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Wuilfredo Antunez 2024 · A	22	46→41	43→55	51→50	45	223/285/341	118	292	9	12	26%	7%	77	-0.3	212/261/361	149	283	14	14	29%	6%	73	-0.6	199/246/361	161	266	17	15	31%	5%	65	-0.8
✕Chris Herrmann 2010 · A	22	45→51	43→50	44→50	47	221/285/330	109	270	11	4	22%	7%	75	-0.5	219/288/312	93	279	7	5	22%	8%	72	-0.7	211/300/370	159	269	19	8	28%	11%	90	+0.2
✕Joe Mack 2024 · A	21	41→44	39→55	45	43	198/267/273	75	282	8	2	31%	8%	55	-1.9	218/280/363	145	290	18	5	30%	7%	81	-0.1	220/283/384	165	281	22	4	29%	7%	86	+0.2
✕Pratt Maynard 2012 · A	22	43	39→45	48→45	41	204/269/289	85	302	7	5	33%	7%	59	-1.6	214/275/303	89	273	7	5	23%	8%	64	-1.3	215/278/310	94	268	7	4	21%	8%	65	-0.6
✕Dane Phillips 2014 · A	23	43→47	42→55	51→40	40	211/256/318	108	282	9	4	28%	5%	61	-1.5	228/272/366	138	297	13	6	27%	5%	78	-0.3	234/276/393	159	296	15	4	26%	5%	82	-0.0
✕Miguel Amaya 2021 · A	22	43	46→50	48→40	47	217/290/349	133	270	14	4	25%	8%	82	-0.0	222/315/352	130	303	13	6	29%	9%	92	+0.7	216/325/362	146	296	16	3	30%	10%	98	+0.3

Jesus Lopez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps