Jhoanjel Saez

SS DSL Brewers Blue

Age 20 R/R 5'9" / 150 lbs ROK HR +10%K +6% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1344ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Brewers 1	50	.250/.340/.364	0	4	26	—	.156/.240/.222
2025	18	ROKDSL Brewers B…	118	.202/.353/.298	1	11	24	—	.120/.241/.160
2027PROJMLE	20	MLBMIL	228	.212/.289/.295	2	6	67	0.0
2028PROJ34% MLB	21	MLBMIL	25	.213/.291/.304	0	1	72	0.0
2029PROJ48% MLB	22	MLBMIL	79	.217/.294/.316	1	2	76	0.1

Next 3 projected WAR 0.1Projected 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 2025 Rk

Chase%96

Whiff%89

BB%78

Z-Con%75

Speed74

ISO49

CompsBrian Navarreto (age 20) · Jimmy Paredes (age 21) · John Silviano (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 40 proj PA

wRC+†67

AVG/OBP/SLG.210 / .286 / .292

PA40

HR0

K%26

BB%9

ISO82

MLB%0%

Value2027 · WAR

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

Tools · Contract

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	+0.4	$0.9M	+$0.5M
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	$2M	+0.1	$0.2M	+$0.0M (cut)
2038	Arb-3	$1.0M	—	—	—
Totals		$3M		$3M	+$1M

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	—	50	44	11	1	2	0	5	6	1	4	2	250	340	364	704	114	289	12	10	320	26	—	—	—	—	—	—
2025	18	ROK	DSL Brewers Blue	—	118	94	19	4	1	1	21	27	1	11	4	202	353	298	651	96	265	23	18	305	24	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Brewers 1	—	50	45	7	1	1	0	4	7	1	4	2	156	240	222	462	67	188	14	8	207	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Blue	—	118	100	12	2	1	0	15	31	1	11	4	120	241	160	401	40	162	26	13	203	24	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 1	—	50	45	7	1	1	0	4	7	1	4	2	156	240	222	462	67	184	14	8	207	26	—	—	—	—	—	—
2024	17	ROK RAW	DSL Brewers 1	—	50	44	11	1	2	0	5	6	1	4	2	250	340	364	704	114	289	12	10	320	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Blue	—	118	100	12	2	1	0	15	31	1	11	4	120	241	160	401	40	169	26	13	203	24	—	—	—	—	—	—
2025	18	ROK RAW	DSL Brewers Blue	—	118	94	19	4	1	1	21	27	1	11	4	202	353	298	651	96	265	23	18	305	24	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 1	—	50	45	7	1	1	0	4	7	1	4	2	156	240	222	462	67	188	14	8	207	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Blue	—	118	101	12	2	1	0	15	31	1	11	4	119	241	158	400	40	162	26	13	203	24	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Brewers 1	—	50	45	7	1	1	0	4	7	1	4	2	156	240	222	462	67	188	14	8	207	26	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Blue	—	118	101	12	2	1	0	15	31	1	11	4	119	241	158	400	40	162	26	13	203	24	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	MIL	0%	228	204	44	7	3	2	20	59	2	6	1	212	289	295	583	82	287	26	9	267	67	-9	+1	+0	+2	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	MIL	34%	74	67	14	2	1	1	6	19	1	2	0	216	293	308	601	92	288	26	8	274	72	-2	+0	+0	+1	+2	0.0
2029	22	MLB MLE	MIL	48%	164	147	32	5	2	2	14	41	2	5	1	220	297	319	616	100	290	25	9	280	76	-5	+1	+0	+2	+4	0.1
2030	23	MLB MLE	MIL	54%	258	230	52	8	3	4	23	65	3	8	1	223	299	329	629	107	291	25	9	285	79	-6	+1	+0	+3	+6	0.3
2031	24	MLB MLE	MIL	55%	346	310	69	12	3	5	30	86	3	10	2	226	302	338	640	112	292	25	9	289	82	-7	+1	+0	+4	+7	0.5
2032	25	MLB MLE	MIL	56%	397	355	81	13	4	7	35	98	4	12	2	227	304	345	648	117	292	25	9	293	84	-7	+2	+0	+4	+9	0.7
2033	26	MLB MLE	MIL	56%	428	383	87	14	4	8	38	106	4	12	2	228	304	347	651	119	292	25	9	293	85	-8	+2	+0	+5	+9	0.8
2034	27	MLB MLE	MIL	55%	441	395	90	15	4	8	39	110	4	13	2	227	303	344	647	118	291	25	9	292	84	-8	+2	+0	+5	+10	0.8
2035	28	MLB MLE	MIL	55%	445	399	90	15	4	8	39	112	4	12	2	225	301	340	641	115	291	25	9	290	82	-9	+2	-1	+5	+10	0.6
2036	29	MLB MLE	MIL	53%	439	393	87	14	4	7	39	112	4	12	2	223	298	334	632	111	289	26	9	286	80	-11	+2	-1	+5	+10	0.4
2037	30	MLB MLE	MIL	53%	430	386	84	14	4	6	37	111	4	12	2	220	295	327	622	107	288	26	9	282	77	-12	+2	-2	+5	+9	0.2
2038	31	MLB MLE	MIL	52%	414	372	81	13	4	6	36	108	3	10	2	216	290	317	608	102	285	26	9	276	73	-13	+1	-3	+4	+9	-0.2
2028	21	MLB CTX	MIL	34%	25	23	5	1	0	0	2	6	0	1	0	213	291	304	594	90	284	24	8	272	72	-1	+0	+0	+0	+1	0.0
2029	22	MLB CTX	MIL	48%	79	71	15	2	1	1	7	20	1	2	0	217	294	316	610	99	285	25	9	278	76	-2	+0	+0	+1	+2	0.1
2030	23	MLB CTX	MIL	54%	140	126	27	4	1	2	12	35	1	4	1	220	297	326	623	106	286	25	9	283	79	-3	+0	+0	+2	+3	0.1
2031	24	MLB CTX	MIL	55%	192	171	38	6	2	3	17	48	2	6	1	223	300	335	635	112	287	25	9	287	82	-4	+1	+0	+2	+4	0.3
2032	25	MLB CTX	MIL	56%	222	198	44	7	2	4	20	55	2	6	1	225	301	342	643	117	287	25	9	291	84	-4	+1	+0	+2	+5	0.4
2033	26	MLB CTX	MIL	56%	241	216	49	8	2	5	21	60	2	7	1	225	302	345	646	119	287	25	9	292	85	-4	+1	+0	+3	+5	0.5
2034	27	MLB CTX	MIL	55%	244	218	48	8	2	4	22	61	2	7	1	224	301	342	643	118	287	25	9	290	84	-5	+1	+0	+3	+5	0.4
2035	28	MLB CTX	MIL	55%	244	218	48	8	2	4	22	61	2	7	1	222	299	337	636	115	286	25	9	288	82	-5	+1	-0	+3	+5	0.3
2036	29	MLB CTX	MIL	53%	235	210	46	7	2	4	21	60	2	6	1	220	296	331	628	111	285	26	9	284	80	-6	+1	-1	+3	+5	0.2
2037	30	MLB CTX	MIL	53%	226	202	45	7	2	4	20	58	2	6	1	217	293	324	617	107	283	26	9	280	77	-6	+1	-1	+2	+5	0.1
2038	31	MLB CTX	MIL	52%	216	193	41	6	2	3	19	56	2	5	1	213	288	315	602	101	281	26	9	274	73	-7	+1	-1	+2	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2064	1846	406	64	18	34	183	520	18	57	9	220	297	329	626	109	286	25	9	285	78	-48	+8	-4	+22	+45	2.3
/ 162G	—	A+C		—	650	581	128	20	6	11	58	164	6	18	3	220	298	332	630	112	286	25	9	285	78	-15	+2	-1	+7	+14	0.7
Career	—	MLE		—	4044	3618	793	129	39	62	359	1016	38	124	24	219	296	328	624	109	286	25	9	283	78	-92	+15	-7	+42	+84	4.2
/ 162G	—	MLE		—	650	582	127	21	6	10	58	163	6	20	4	218	296	326	622	108	284	25	9	283	78	-15	+2	-1	+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.

2025 DSLDSL Brewers Blue · 118 PAwOBA .303 → .203 (−101)K% 22.9% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.88%	÷1.052	×1.220	—	—	26.52%
BB% (unintentional) /PA	17.80%	÷0.984	×0.700	—	×1.008	12.75%
HBP% /PA	0.85%	—	×0.700	—	×1.008	0.60%
Singles /BIP	19.40%	÷1.051	×0.680	×0.973	×1.008	12.30%
Doubles /BIP	5.97%	÷1.017	×0.600	×0.973	×1.008	3.45%
Triples /BIP	1.49%	÷1.042	×0.600	×0.973	×1.008	0.84%
Home runs /BIP	1.49%	÷1.042	×0.470	—	×1.008	0.68%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 110, 2B 103, 3B 108, K 110, BB 97 — 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 ×0.973.

Result: wOBA .303 → .203; ISO .096 → .054; BABIP .265 → .162. 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 · 50 PAwOBA .312 → .207 (−105)K% 12.0% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.00%	÷0.984	×1.220	—	—	14.88%
BB% (unintentional) /PA	10.00%	÷0.994	×0.700	—	×1.022	7.20%
HBP% /PA	2.00%	—	×0.700	—	×1.022	1.43%
Singles /BIP	21.05%	÷1.021	×0.680	—	×1.022	14.34%
Doubles /BIP	2.63%	÷1.057	×0.600	—	×1.022	1.53%
Triples /BIP	5.26%	÷1.088	×0.600	—	×1.022	2.97%
Home runs /BIP	0.00%	÷1.098	×0.470	—	×1.022	0.00%

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).

Result: wOBA .312 → .207; ISO .114 → .065; BABIP .289 → .188. 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
#1Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#2Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#3Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#4Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.2	2,104	33	59	224	297	336	+23	+21	3.9	3.6
/162	664	10	19	+7.1	+6.6	1.2	pk7: 3
#5Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	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
Jhoanjel Saez (OGILVIE)	20	—	—	—	—	210/286/292	82	287	0	1	26%	9%	67	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brian Navarreto 2015 · A	20	34	41→45	48→30	36	176/226/276	100	264	9	5	36%	5%	40	-3.0	180/220/246	66	250	5	2	29%	4%	30	-3.8	197/246/311	114	243	14	1	25%	5%	53	-0.7
✕Jimmy Paredes 2010 · A	21	43→53	37→50	50→55	40	202/239/274	72	247	3	8	20%	3%	43	-2.8	244/269/352	108	318	7	25	25%	3%	72	-0.7	255/284/384	129	348	12	15	30%	4%	85	+0.2
✕John Silviano 2014 · A	20	33→34	41→50	42→40	41	167/237/259	92	258	8	4	37%	8%	41	-3.0	183/239/277	94	328	8	5	43%	6%	45	-2.7	178/239/321	143	275	18	2	41%	7%	54	-1.1
★Marcell Ozuna 2009 · A	18	38→48	38→65	50→45	41	187/237/265	78	256	6	8	29%	6%	41	-3.0	204/251/314	110	287	10	7	31%	6%	58	-1.7	268/358/500	232	311	32	0	24%	12%	142	+4.6
✕Nicanor Alvarado 2014 · A	20	39	37→30	49→30	41	187/246/259	72	280	4	6	33%	7%	43	-2.8	167/225/234	67	283	3	4	40%	5%	30	-3.8	108/169/159	51	193	1	0	42%	3%	-9	-1.2
✕Roberto Vahlis 2014 · A	20	37	39→30	50→45	45	184/243/263	79	230	7	6	23%	6%	44	-2.8	181/258/245	64	214	4	5	16%	8%	46	-2.6	149/242/191	42	169	3	3	13%	9%	27	-1.1
✕Kervin Santiago 2012 · A	19	41	35→30	51→50	46	193/251/252	60	241	3	6	21%	7%	44	-2.8	200/271/257	57	253	3	8	20%	8%	53	-2.1	172/268/172	—	209	0	11	15%	10%	32	-0.8
✕Angel Adames 2015 · A	19	40	37→30	46→45	39	191/244/264	72	281	5	7	32%	6%	44	-2.8	170/232/233	63	230	3	6	26%	7%	33	-3.6	115/187/160	45	151	1	4	23%	7%	-1	-1.3
✕Welington Chal 2018 · A	20	39	35→30	45→50	46	184/259/243	58	266	3	7	30%	8%	45	-2.7	179/243/243	64	236	3	6	24%	6%	39	-3.1	100/178/130	30	126	0	2	19%	6%	-10	-1.5
✕Kidany Salva 2018 · A	19	39	36→30	47→50	42	186/244/249	63	268	3	8	30%	7%	40	-3.0	200/257/265	65	270	3	7	25%	6%	49	-2.4	175/229/206	31	225	0	5	21%	4%	24	-0.8
✕Victor Ovalles 2013 · A	20	41	35→30	43→40	43	191/245/249	58	248	2	5	23%	6%	40	-3.0	188/250/252	64	270	2	5	29%	6%	44	-2.8	133/209/173	39	205	0	2	32%	6%	10	-1.2
✕Julio Cabrera 2016 · A	18	36	35→30	52→50	48	171/253/237	66	242	2	9	28%	9%	42	-2.9	167/238/234	67	215	3	7	22%	7%	35	-3.4	119/193/174	55	146	2	5	19%	6%	4	-1.2
✕Luis Grullon 2009 · A	21	37	37→30	46→40	36	170/253/244	74	302	5	5	42%	7%	45	-2.7	191/244/265	74	344	4	5	43%	5%	45	-2.7	148/192/204	56	288	3	0	47%	4%	9	-1.0
✕Ysaac Pena 2017 · A	19	42	36→30	49→45	40	198/238/265	67	254	3	4	23%	4%	41	-3.0	199/245/275	76	255	4	5	22%	5%	47	-2.6	171/220/264	93	193	5	6	14%	6%	34	-1.1
✕Dalton Blumenfeld 2016 · A	19	44	38→30	51→40	30	181/238/257	76	378	5	7	50%	6%	40	-3.0	178/237/255	77	380	5	5	50%	6%	39	-3.1	94/183/179	85	239	8	0	59%	8%	2	-1.2
✕Brayan De Pena 2016 · A	18	42	36→30	50→30	35	189/247/262	73	325	3	6	40%	6%	45	-2.7	183/233/257	74	314	5	5	40%	6%	38	-3.2	107/149/155	48	185	5	0	44%	5%	-20	-1.3
✕Devon Torrence 2008 · A	19	51	35→30	48→50	38	173/266/230	58	435	3	10	54%	11%	46	-2.6	173/247/229	56	381	3	7	50%	9%	38	-3.2	97/177/107	10	239	0	4	54%	9%	-17	-1.7

Jhoanjel Saez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps