Jesús Made

SS Biloxi Shuckers

Age 20 S/R 6'1" / 221 lbs AA HR +10%K +6% Svc 0.0 · Ctrl thru 2033

Overview

AAPROSPECTMiLBFA 2034

OGV OFP60OGV rank#1ETA2028MLB%22%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Brewers 1	216	.331/.458/.554	6	28	78	—	.204/.315/.323
2025	18	AA/A+/A2 orgs	525	.285/.380/.413	6	47	88	—	.249/.325/.345
2026	19	AA/INTL2 orgs	593	.273/.354/.429	15	39	102	—	.262/.318/.404
2027PROJ22% MLB	20	MLBMIL	46	.249/.311/.377	1	2	96	0.1
2028PROJ68% MLB	21	MLBMIL	344	.254/.318/.401	9	14	104	1.4
2029PROJ81% MLB	22	MLBMIL	436	.261/.326/.426	13	17	112	2.3

Next 3 projected WAR 3.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$9M2032Arb-2$16M2033Arb-3$24M

Skills · percentileMiLB Statcast 2026 AA

K%95

Whiff%90

Speed86

Z-Con%84

wRC+58

wOBA57

Career WAR6.8 WAR median (P10 -0.2 / P90 87, comp-based) · star 25% · didn't stick 34%

CompsOzzie Albies (age 21) · Francisco Lindor (age 21) · Bo Bichette (age 21)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†96

AVG/OBP/SLG.249 / .311 / .377

PA46

HR1

K%17

BB%9

BABIP287

ISO119

MLB%22%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$88M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+1.4	$10M	+$10M
2029	Pre-Arb	$0.8M	+2.3	$16M	+$15M
2030	Pre-Arb	$0.8M	+2.9	$20M	+$20M
2031	Arb-1	$9M	+3.3	$23M	+$18M
2032	Arb-2	$16M	+3.6	$25M	+$16M
2033	Arb-3	$24M	+3.7	$24M	+$12M
Totals		$51M		$119M	+$89M

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 Brewers 1	—	216	175	58	9	6	6	39	28	2	28	4	331	458	554	1.013	223	369	13	18	444	78	—	—	—	—	—	—
2025	18	AA	Biloxi Shuckers	—	24	23	6	0	1	0	1	8	0	2	0	261	292	348	639	87	400	33	4	285	37	—	—	—	—	—	—
2025	18	A+	Wisconsin Timber Rattlers	—	123	108	37	7	2	2	13	22	1	5	4	343	418	500	918	157	412	18	11	404	107	—	—	—	—	—	—
2025	18	A	Carolina Mudcats	—	378	322	86	21	3	4	53	78	2	40	9	267	374	388	762	121	340	21	14	347	85	—	—	—	—	—	—
2026	19	AA	Biloxi Shuckers	—	558	491	133	24	6	14	57	80	2	37	14	271	349	430	779	159	294	14	10	343	99	—	—	—	—	—	—
2026	19	INTL	Tigres del Licey	—	35	29	9	0	0	1	6	4	0	2	2	310	429	414	842	103	333	11	17	386	147	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Brewers 1	—	216	186	38	5	4	3	28	35	2	28	4	204	315	323	637	118	237	16	13	284	78	—	—	—	—	—	—
2025	18	AA MLE	Biloxi Shuckers	—	24	23	5	0	1	0	1	10	0	2	0	217	250	304	554	87	387	42	4	223	37	—	—	—	—	—	—
2025	18	A+ MLE	Wisconsin Timber Rattlers	—	123	111	31	5	2	1	10	30	1	5	4	279	344	387	732	108	364	24	8	326	107	—	—	—	—	—	—
2025	18	A MLE	Carolina Mudcats	—	378	336	81	18	2	3	39	103	2	40	9	241	324	333	657	92	337	27	10	294	85	—	—	—	—	—	—
2026	19	AA MLE	Biloxi Shuckers	—	558	508	133	24	6	12	40	98	2	37	14	262	318	404	722	142	292	18	7	314	99	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 1	—	216	186	38	5	4	3	28	35	2	28	4	204	315	323	637	118	236	16	13	284	78	—	—	—	—	—	—
2024	17	ROK RAW	DSL Brewers 1	—	216	175	58	9	6	6	39	28	2	28	4	331	458	554	1.013	223	369	13	18	444	78	—	—	—	—	—	—
2025	18	A MLE	3 teams	—	525	470	117	23	5	4	50	143	3	47	13	249	325	345	670	96	348	27	10	298	88	—	—	—	—	—	—
2025	18	A RAW	3 teams	—	525	453	129	28	6	6	67	108	3	47	13	285	380	413	793	128	361	21	13	357	88	—	—	—	—	—	—
2026	19	AA MLE	2 teams	—	593	540	142	26	6	13	43	104	2	39	16	263	320	406	725	143	299	18	7	314	99	—	—	—	—	—	—
2026	19	AA RAW	2 teams	—	593	520	142	24	6	15	63	84	2	39	16	273	354	429	783	156	296	14	11	346	99	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 1	—	216	184	38	5	4	3	28	35	2	28	4	207	315	326	641	120	237	16	13	284	78	—	—	—	—	—	—
2025	18	A MLE	3 teams	—	525	467	117	23	5	4	50	143	3	47	13	251	325	347	672	96	346	27	10	298	88	—	—	—	—	—	—
2026	19	AA MLE	2 teams	—	593	543	142	26	6	13	43	104	2	39	16	262	320	403	723	142	292	18	7	314	99	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Brewers 1	—	216	184	38	5	4	3	28	35	2	28	4	207	315	326	641	120	237	16	13	284	78	—	—	—	—	—	—
2025	18	A MLE	3 teams	—	525	467	117	23	5	4	50	143	3	47	13	251	325	347	672	96	346	27	10	298	88	—	—	—	—	—	—
2026	19	AA MLE	2 teams	—	593	543	142	26	6	13	43	104	2	39	16	262	320	403	723	142	292	18	7	314	99	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	MIL	22%	648	589	149	28	6	12	51	116	3	26	9	252	314	381	694	129	292	18	8	309	96	-3	+2	+0	+7	+14	0.8
▸ 2027 — real world (MLB)
2027	20	MLB CTX	MIL	22%	46	42	10	2	0	1	4	8	0	2	1	249	311	377	688	128	287	17	9	307	96	-0	+0	+0	+0	+1	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	MIL	68%	505	457	118	22	5	12	40	89	3	20	7	257	321	404	725	146	293	18	8	321	104	+2	+1	+0	+5	+11	2.0
2029	22	MLB MLE	MIL	81%	537	485	128	23	5	16	44	92	3	20	7	263	328	428	755	164	294	17	8	334	112	+8	+1	+1	+6	+12	2.7
2030	23	MLB MLE	MIL	85%	560	506	136	24	5	19	46	94	3	20	6	269	334	448	782	179	295	17	8	344	119	+13	+2	+1	+6	+12	3.4
2031	24	MLB MLE	MIL	84%	578	522	142	25	5	21	48	96	3	19	6	273	338	462	800	189	296	17	8	351	124	+16	+1	+2	+6	+13	3.9
2032	25	MLB MLE	MIL	84%	590	532	146	25	5	23	50	97	3	18	6	274	340	470	810	195	296	16	8	355	126	+18	+1	+3	+6	+13	4.2
2033	26	MLB MLE	MIL	84%	599	540	149	26	5	24	51	99	3	18	6	275	341	473	814	198	296	17	9	356	127	+20	+1	+3	+6	+13	4.4
2034	27	MLB MLE	MIL	82%	596	537	146	25	5	23	51	99	3	16	6	274	340	471	811	197	296	17	9	355	126	+19	+1	+3	+6	+13	4.3
2035	28	MLB MLE	MIL	82%	585	527	143	25	5	22	50	99	3	14	5	273	338	466	805	194	295	17	9	353	125	+17	+1	+2	+6	+13	4.0
2036	29	MLB MLE	MIL	79%	568	512	139	24	5	21	48	97	3	11	4	270	336	461	796	190	294	17	8	349	123	+15	+1	+1	+6	+12	3.6
2037	30	MLB MLE	MIL	78%	552	499	134	23	5	20	46	96	2	9	4	268	332	453	786	186	293	17	8	345	120	+13	+0	+0	+6	+12	3.2
2038	31	MLB MLE	MIL	78%	534	483	128	22	4	19	44	95	2	6	4	264	328	444	772	180	291	18	8	339	116	+10	-0	-0	+6	+12	2.7
2039	32	MLB MLE	MIL	78%	511	462	119	20	4	17	42	94	2	4	5	259	322	431	753	173	288	18	8	332	111	+6	-1	-1	+5	+11	2.1
2040	33	MLB MLE	MIL	77%	476	434	110	18	4	15	38	90	1	2	18	252	314	416	730	164	283	19	8	322	104	+2	-7	-2	+5	+10	0.9
2041	34	MLB MLE	MIL	73%	419	382	93	14	3	13	33	82	1	3	23	244	305	397	702	153	277	20	8	311	97	-2	-9	-3	+4	+9	0.0
2028	21	MLB CTX	MIL	68%	344	311	80	14	3	9	28	60	2	14	5	254	318	401	720	147	288	17	8	319	104	+2	+1	+0	+4	+7	1.4
2029	22	MLB CTX	MIL	81%	436	395	102	17	4	13	36	75	2	17	5	261	326	426	752	166	289	17	8	332	112	+6	+1	+0	+5	+9	2.3
2030	23	MLB CTX	MIL	85%	475	430	114	19	4	17	39	80	3	17	6	266	332	448	780	181	290	17	8	343	119	+11	+1	+1	+5	+10	2.9
2031	24	MLB CTX	MIL	84%	487	440	119	20	4	19	41	81	3	16	5	270	336	462	798	192	291	17	8	350	124	+14	+1	+2	+5	+11	3.3
2032	25	MLB CTX	MIL	84%	496	448	122	20	4	20	42	82	3	16	5	272	338	470	809	198	292	17	8	354	126	+15	+1	+2	+5	+11	3.6
2033	26	MLB CTX	MIL	84%	503	452	124	20	4	21	43	83	3	15	5	273	339	474	814	201	292	17	9	356	127	+16	+1	+2	+5	+11	3.7
2034	27	MLB CTX	MIL	82%	491	444	121	20	4	20	42	82	2	13	5	272	338	472	810	200	291	17	9	355	126	+15	+1	+2	+5	+11	3.5
2035	28	MLB CTX	MIL	82%	477	432	116	19	4	19	40	80	2	11	4	271	336	467	804	197	291	17	8	352	125	+14	+1	+2	+5	+10	3.2
2036	29	MLB CTX	MIL	79%	451	408	110	18	4	18	38	77	2	9	4	268	334	461	795	193	290	17	8	349	123	+12	+0	+1	+5	+10	2.8
2037	30	MLB CTX	MIL	78%	433	392	105	17	4	17	36	76	2	7	3	266	331	454	785	188	289	18	8	344	120	+10	+0	+0	+5	+9	2.5
2038	31	MLB CTX	MIL	78%	415	376	98	16	3	15	34	74	2	5	3	262	326	444	770	183	286	18	8	339	116	+8	-0	-0	+4	+9	2.1
2039	32	MLB CTX	MIL	78%	396	360	93	15	3	14	32	73	1	3	4	257	320	432	752	175	283	18	8	331	111	+5	-1	-1	+4	+9	1.6
2040	33	MLB CTX	MIL	77%	368	335	84	13	3	12	29	70	1	2	14	250	313	416	729	166	279	19	8	322	104	+2	-5	-2	+4	+8	0.7
2041	34	MLB CTX	MIL	73%	305	277	68	10	2	10	24	60	1	2	17	242	303	397	701	155	274	20	8	310	97	-1	-6	-2	+3	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6077	5500	1456	238	50	224	504	1053	29	147	85	265	330	448	778	184	290	17	8	342	113	+129	-5	+8	+65	+132	33.6
/ 162G	—	A+C		—	650	588	155	25	5	24	54	113	3	16	9	264	329	446	774	182	289	17	8	342	113	+14	-0	+1	+7	+14	3.6
Career	—	MLE		—	9154	8265	2176	379	82	289	768	1639	43	302	143	263	329	434	763	171	295	18	8	335	113	+157	-6	+10	+84	+169	42.2
/ 162G	—	MLE		—	650	587	155	27	6	21	55	116	3	21	10	264	331	438	769	174	295	18	8	335	113	+13	-1	+1	+7	+14	3.5

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 AABiloxi Shuckers · 558 PAwOBA .338 → .314 (−24)K% 14.3% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.34%	÷1.000	×1.220	—	—	17.49%
BB% (unintentional) /PA	10.04%	÷1.000	×0.680	—	×1.050	7.17%
HBP% /PA	0.36%	—	×0.840	—	×1.050	0.32%
Singles /BIP	21.65%	÷1.000	×0.920	×1.039	×1.050	21.73%
Doubles /BIP	5.84%	÷1.000	×0.910	×1.039	×1.050	5.80%
Triples /BIP	1.46%	÷1.000	×0.880	×1.039	×1.050	1.40%
Home runs /BIP	3.41%	÷1.000	×0.800	—	×1.050	2.86%

Factors used: league row SL. 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 24.8 → +5.0% on BB/HBP/hit rates (5.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .338 → .314; ISO .159 → .146; BABIP .294 → .292. 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 ACarolina Mudcats · 378 PAwOBA .339 → .294 (−46)K% 20.6% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.63%	÷1.033	×1.360	—	—	27.18%
BB% (unintentional) /PA	14.02%	÷0.981	×0.690	—	×1.050	10.35%
HBP% /PA	0.53%	—	×0.780	—	×1.050	0.43%
Singles /BIP	23.77%	÷0.948	×0.920	×1.022	×1.050	24.74%
Doubles /BIP	8.61%	÷1.002	×0.830	×1.022	×1.050	7.64%
Triples /BIP	1.23%	÷1.150	×0.910	×1.022	×1.050	1.04%
Home runs /BIP	1.64%	÷1.214	×0.800	—	×1.050	1.13%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 90, 2B 100, 3B 130, K 107, BB 96 — 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 ×1.022.

Result: wOBA .339 → .294; ISO .121 → .096; BABIP .340 → .337. 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 A+Wisconsin Timber Rattlers · 123 PAwOBA .397 → .326 (−71)K% 17.9% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.89%	÷0.943	×1.270	—	—	24.08%
BB% (unintentional) /PA	10.57%	÷0.965	×0.710	—	×1.050	8.17%
HBP% /PA	0.81%	—	×0.790	—	×1.050	0.67%
Singles /BIP	30.23%	÷1.023	×0.920	×0.963	×1.050	27.50%
Doubles /BIP	8.14%	÷1.013	×0.810	×0.963	×1.050	6.59%
Triples /BIP	2.33%	÷0.900	×0.850	×0.963	×1.050	2.22%
Home runs /BIP	2.33%	÷1.246	×0.800	—	×1.050	1.57%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 149, 1B 105, 2B 103, 3B 80, K 89, BB 93 — applied at half strength. Age: age 18 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .397 → .326; ISO .157 → .120; BABIP .412 → .364. 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 AABiloxi Shuckers · 24 PAwOBA .277 → .223 (−54)K% 33.3% → 43.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.932	×1.220	—	—	43.65%
BB% (unintentional) /PA	4.17%	÷1.008	×0.680	—	×1.050	2.95%
HBP% /PA	0.00%	—	×0.840	—	×1.050	0.00%
Singles /BIP	33.33%	÷0.976	×0.920	—	×1.050	32.99%
Doubles /BIP	0.00%	÷1.091	×0.910	—	×1.050	0.00%
Triples /BIP	6.67%	÷1.083	×0.880	—	×1.050	5.69%
Home runs /BIP	0.00%	÷1.170	×0.800	—	×1.050	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 134, 1B 95, 2B 118, 3B 117, K 86, BB 102 — applied at half strength. Age: age 18 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (6.8 yr younger than average).

Result: wOBA .277 → .223; ISO .087 → .063; BABIP .400 → .387. 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 Brewers 1 · 216 PAwOBA .433 → .284 (−149)K% 13.0% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.96%	÷0.984	×1.220	—	—	16.07%
BB% (unintentional) /PA	18.06%	÷0.994	×0.700	—	×1.022	13.00%
HBP% /PA	0.93%	—	×0.700	—	×1.022	0.66%
Singles /BIP	25.17%	÷1.021	×0.680	×1.013	×1.022	17.36%
Doubles /BIP	6.12%	÷1.057	×0.600	×1.013	×1.022	3.60%
Triples /BIP	4.08%	÷1.088	×0.600	×1.013	×1.022	2.33%
Home runs /BIP	4.08%	÷1.098	×0.470	—	×1.022	1.79%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 104, 2B 111, 3B 118, K 97, BB 99 — 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 ×1.013.

Result: wOBA .433 → .284; ISO .223 → .118; BABIP .369 → .237. 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
#1Miguel Tejada'97-'13 * career totals — 16 seasons, 9,203 PA	13.9	9,203	307	85	275*	327*	447*	+88	+94	60.5	51.9
/162	664	22	6	+6.4	+6.8	4.4	pk7: 43
#2Ian Kinslerlast yr '19 career totals — 14 seasons, 8,299 PA	12.5	8,299	257	243	269	337	440	+30	+66	53.0	44.4
/162	664	21	19	+2.4	+5.3	4.2	pk7: 36
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	9.2	6,124	213	148	268	328	449	+63	+21	36.2	30.1
/162	664	23	16	+6.9	+2.3	3.9	pk7: 24
#3Travis Fryman'90-'02 * career totals — 13 seasons, 7,217 PA	10.9	7,217	223	72	264*	325*	440*	+35	+13	32.2	29.6
/162	664	21	7	+3.2	+1.2	3.0	pk7: 27
#4Brian Dozierlast yr '19 career totals — 8 seasons, 4,884 PA	7.4	4,884	192	105	245	326	442	+20	+24	27.7	27.6
/162	664	26	14	+2.7	+3.2	3.8	pk7: 28
#5John Valentin'92-'02 * career totals — 10 seasons, 4,511 PA	6.8	4,511	124	47	267*	344*	445*	+31	+38	27.5	27.1
/162	664	18	7	+4.6	+5.6	4.0	pk7: 27
#6Ian Desmondlast yr '19 career totals — 11 seasons, 5,944 PA	9.0	5,944	181	181	263	315	427	+30	-4	25.8	25.0
/162	664	20	20	+3.3	-0.4	2.9	pk7: 24

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
Jesús Made (OGILVIE)	20	—	—	—	—	249/311/377	128	292	4	8	18%	8%	96	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Ozzie Albies 2018 · MLB	21	55→62	43→60	59→55	45	266/313/393	127	322	9	21	20%	6%	99	+1.2	271/318/452	181	308	19	15	18%	6%	115	+2.4	273/324/485	212	301	24	15	18%	6%	126	+2.7
★Francisco Lindor 2015 · AAA	21	54→63	40→65	51→55	47	258/309/354	96	309	7	20	19%	6%	88	+0.5	278/329/422	144	314	14	16	16%	7%	112	+2.2	270/347/485	215	296	27	26	19%	9%	135	+4.5
●Bo Bichette 2019 · AA	21	56→62	46→60	54→55	44	272/317/419	147	333	11	19	22%	6%	107	+1.8	278/323/457	179	335	19	20	22%	6%	118	+2.7	296/338/473	177	346	22	13	20%	5%	129	+3.8
●Wander Franco 2021 · A	20	55→60	45→55	47→55	53	268/323/398	130	287	11	10	12%	8%	104	+1.6	274/329/434	160	298	14	14	13%	7%	114	+2.4	280/337/455	175	300	16	20	12%	7%	122	+2.2
●Jurickson Profar 2013 · MLB	20	51→55	46→55	54→50	50	250/313/396	146	289	11	13	18%	8%	100	+1.3	235/300/356	121	284	12	10	20%	8%	86	+0.3	259/353/423	164	286	18	7	16%	11%	123	+2.7
✕Adael Amador 2024 · AA	21	52→56	48→50	49→55	54	257/333/399	142	291	15	16	17%	9%	109	+2.0	235/310/364	129	275	14	21	19%	9%	92	+0.7	231/310/357	126	266	13	22	18%	9%	88	+0.4
●Evan Carter 2023 · AA	20	48→55	46→50	55	52	233/315/374	141	290	12	21	23%	10%	96	+1.0	239/326/389	150	309	14	21	25%	10%	103	+1.6	237/330/391	154	306	15	24	25%	10%	104	+0.9
●Vaughn Grissom 2023 · MLB	22	56→65	48→50	54→55	47	277/339/417	140	321	15	19	19%	6%	115	+2.4	264/329/386	122	318	11	15	19%	7%	104	+1.6	259/326/374	115	315	9	13	20%	8%	98	+0.8
●Jean Segura 2011 · AAA	21	56→62	43→50	60	44	270/306/388	118	314	9	23	17%	5%	95	+0.9	268/304/377	109	315	8	29	17%	4%	91	+0.7	302/347/439	137	334	13	24	13%	5%	123	+3.2
●Luis Rengifo 2019 · AAA	22	51→58	43→55	57→55	48	244/307/365	122	298	8	25	20%	7%	91	+0.6	238/306/364	126	292	11	14	21%	8%	90	+0.6	274/324/432	159	308	18	16	17%	6%	114	+1.8
★Jimmy Rollins 2001 · MLB	22	52→59	44→60	56→60	49	255/307/373	118	289	11	17	16%	7%	92	+0.7	258/310/394	136	293	11	28	15%	7%	98	+1.2	283/332/474	190	294	18	31	10%	6%	126	+4.0
●Carlos Correa 2015 · A	20	56→61	43→60	52→55	48	268/331/395	127	339	9	14	23%	8%	106	+1.8	278/346/470	192	325	21	16	20%	9%	129	+3.4	282/354/489	206	322	25	14	20%	10%	138	+4.1
●Jackson Chourio 2024 · AAA	20	48→57	50→60	56→55	41	243/288/398	155	310	17	24	27%	6%	91	+0.7	267/311/444	177	322	20	22	23%	6%	111	+2.1	275/322/461	186	325	22	23	22%	6%	120	+2.7
●Dexter Fowler 2007 · A	21	50→60	43→55	54→55	42	238/293/357	119	326	8	24	28%	6%	84	+0.1	260/334/380	120	348	7	22	25%	9%	104	+1.6	257/359/437	180	313	17	14	22%	13%	128	+3.2
●CJ Abrams 2022 · AA	21	54→53	42→60	56→60	43	257/308/377	120	328	8	22	23%	6%	93	+0.8	249/298/385	136	296	13	29	20%	4%	93	+0.8	252/319/452	200	292	23	30	22%	7%	117	+2.7
●Jackson Merrill 2024 · AA	21	51→57	47→60	51→50	45	253/296/391	138	291	15	12	19%	6%	93	+0.8	269/311/450	181	310	20	13	20%	6%	112	+2.2	269/313/462	193	313	22	15	21%	6%	117	+2.5
●Michael Harris II 2022 · A	21	52→59	42→60	56→55	42	247/298/362	115	325	9	20	26%	6%	86	+0.3	279/322/453	174	339	19	21	22%	5%	117	+2.6	285/326/466	182	335	21	21	21%	5%	122	+2.7
●Andrés Giménez 2019 · AA	20	52→59	40→50	53→55	44	246/309/346	100	315	6	21	22%	6%	87	+0.4	239/294/361	122	308	10	24	25%	5%	85	+0.2	260/322/413	154	311	16	25	21%	5%	109	+1.8
●Brett Lawrie 2011 · AA	21	52→57	44→55	56→55	43	251/297/391	141	317	9	18	23%	6%	93	+0.8	266/319/430	164	312	15	17	19%	6%	110	+2.1	269/327/436	167	303	17	16	17%	7%	114	+1.9
●Rougned Odor 2014 · AA	20	51→56	44→60	52→50	41	248/292/374	126	301	10	18	21%	4%	87	+0.4	254/295/415	161	291	17	12	19%	4%	98	+1.2	256/295/439	183	284	21	10	18%	4%	103	+1.5

Jesús Made

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps