Jhoanjel Saez — OGILVIE

Jhoanjel SaezSS DSL Brewers Blue

Age 19 R/R 5'9" / 150 lbs ROK HR +10%K +6% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 100 proj PA

wRC+†64

AVG/OBP/SLG.207 / .278 / .293

PA8

HR0

K%28

BB%8

ISO87

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$22M 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
2026	MiLB	still in minors · estimated debut 2032
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	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2035	Arb-1	$3M	+0.6	$1M	+$0.1M
2036	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$5M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$7M	+$3M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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	102	+0	+0	—	—	+1	0.1
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	93	-1	+1	—	—	+3	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Brewers 1	—	50	46	8	1	1	0	3	9	1	4	2	174	240	239	479	65	222	18	6	222	36	-4	+0	—	—	+1	-0.3
2025	18	ROK MLE	DSL Brewers Blue	—	118	102	15	3	1	1	13	37	1	11	4	147	250	225	475	78	195	31	11	210	28	-10	+1	—	—	+3	-0.7
2024	17	ROK MLE	DSL Brewers 1	—	50	46	8	1	1	0	3	9	1	4	2	174	240	239	479	65	216	18	6	222	36	—	—	—	—	—	—
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	36	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Blue	—	118	102	15	3	1	1	13	37	1	11	4	147	250	225	475	78	212	31	11	210	28	—	—	—	—	—	—
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	28	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 1	—	50	46	8	1	1	0	3	9	1	4	2	174	240	239	479	65	222	18	6	222	36	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Blue	—	118	103	15	3	1	1	13	37	1	11	4	146	250	223	473	78	195	31	11	210	28	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Brewers 1	—	50	46	8	1	1	0	3	9	1	4	2	174	240	239	479	65	222	18	6	222	36	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Blue	—	118	103	15	3	1	1	13	37	1	11	4	146	250	223	473	78	195	31	11	210	28	—	—	—	—	—	—
▸ 2026 season
2026	19	MLB MLE	MIL	0%	8	7	1	0	0	0	1	2	0	0	0	143	250	143	393		288	25	12	263	64	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	MIL	34%	189	169	36	6	2	2	16	51	2	5	1	213	289	308	596	95	290	27	8	274	72	-6	+1	+0	+2	+4	0.0
2028	21	MLB MLE	MIL	48%	324	290	64	11	3	5	27	86	4	9	2	221	296	331	627	110	291	27	8	282	77	-9	+1	+0	+3	+7	0.3
2029	22	MLB MLE	MIL	54%	423	380	84	14	4	7	35	110	5	12	2	221	295	334	629	113	292	26	8	288	81	-10	+2	+0	+5	+9	0.6
2030	23	MLB MLE	MIL	57%	489	440	100	17	5	9	41	127	5	14	2	227	300	350	650	123	293	26	8	291	83	-10	+2	+0	+5	+11	0.8
2031	24	MLB MLE	MIL	57%	532	476	108	18	5	10	45	137	6	16	3	227	302	349	650	122	294	26	8	294	85	-10	+2	+0	+6	+12	1.0
2032	25	MLB MLE	MIL	57%	557	499	113	19	5	11	47	144	6	16	3	226	301	351	651	124	294	26	8	295	86	-9	+2	+0	+6	+12	1.1
2033	26	MLB MLE	MIL	56%	571	511	117	20	5	12	48	147	7	17	3	229	304	358	662	129	294	26	8	296	87	-9	+2	+0	+6	+12	1.2
2034	27	MLB MLE	MIL	55%	575	514	117	20	5	12	49	149	7	17	3	228	304	356	660	128	294	26	9	296	87	-9	+2	+0	+6	+12	1.2
2035	28	MLB MLE	MIL	55%	573	511	117	20	5	12	50	149	7	17	3	229	306	358	664	129	294	26	9	295	86	-10	+2	-1	+6	+12	1.1
2036	29	MLB MLE	MIL	53%	564	504	113	19	5	11	49	148	6	16	3	224	301	347	648	123	293	26	9	294	85	-10	+2	-1	+6	+12	0.9
2037	30	MLB MLE	MIL	53%	555	496	112	19	5	11	48	147	6	16	3	226	302	351	653	125	292	26	9	291	83	-11	+2	-2	+6	+12	0.7
2038	31	MLB MLE	MIL	52%	541	483	107	18	5	10	47	145	6	15	3	222	299	342	640	120	290	27	9	287	81	-13	+2	-3	+6	+12	0.4
2039	32	MLB MLE	MIL	52%	523	467	101	17	4	9	45	142	6	14	2	216	293	328	621	111	287	27	9	282	77	-14	+2	-4	+6	+11	0.1
2040	33	MLB MLE	MIL	52%	494	443	94	15	4	8	43	137	5	13	2	212	289	318	607	106	283	28	9	276	73	-16	+2	-4	+5	+11	-0.2
2027	20	MLB CTX	MIL	34%	65	59	13	2	1	1	5	18	1	2	0	220	292	339	631	119	288	28	8	267	72	-2	+0	+0	+1	+1	0.0
2028	21	MLB CTX	MIL	48%	157	141	31	5	1	3	13	41	2	5	1	220	295	333	628	113	289	26	8	274	77	-4	+1	+0	+2	+3	0.1
2029	22	MLB CTX	MIL	54%	229	205	46	8	2	4	19	60	3	7	1	224	300	341	641	117	290	26	8	280	81	-5	+1	+0	+2	+5	0.3
2030	23	MLB CTX	MIL	57%	277	249	56	9	3	5	23	72	3	8	1	225	298	345	644	120	291	26	8	283	83	-6	+1	+0	+3	+6	0.5
2031	24	MLB CTX	MIL	57%	301	270	61	10	3	6	25	78	3	9	2	226	299	352	651	126	292	26	8	286	85	-5	+1	+0	+3	+7	0.5
2032	25	MLB CTX	MIL	57%	315	281	65	11	3	7	27	81	4	9	2	231	308	367	674	135	292	26	9	287	86	-5	+1	+0	+3	+7	0.6
2033	26	MLB CTX	MIL	56%	323	289	66	11	3	7	27	83	4	9	2	228	303	360	663	131	292	26	8	288	87	-5	+1	+0	+3	+7	0.6
2034	27	MLB CTX	MIL	55%	319	285	65	11	3	7	27	82	4	9	2	228	304	361	665	133	292	26	8	289	87	-5	+1	+0	+3	+7	0.6
2035	28	MLB CTX	MIL	55%	315	281	65	11	3	7	27	82	4	9	2	231	308	367	674	135	292	26	9	288	86	-5	+1	-0	+3	+7	0.6
2036	29	MLB CTX	MIL	53%	302	270	61	10	3	6	26	79	3	9	1	226	301	352	653	126	291	26	9	286	85	-5	+1	-1	+3	+7	0.5
2037	30	MLB CTX	MIL	53%	292	262	59	10	3	6	25	77	3	8	1	225	300	355	655	130	290	26	9	283	83	-6	+1	-1	+3	+6	0.4
2038	31	MLB CTX	MIL	52%	282	252	55	9	2	5	25	75	3	8	1	218	296	329	626	111	288	27	9	280	81	-7	+1	-1	+3	+6	0.2
2039	32	MLB CTX	MIL	52%	271	243	52	8	2	5	23	74	3	7	1	214	290	325	615	111	285	27	8	275	77	-7	+1	-2	+3	+6	0.1
2040	33	MLB CTX	MIL	52%	255	228	48	8	2	4	22	71	3	7	1	211	289	316	604	105	282	28	9	268	73	-8	+1	-2	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3703	3315	743	123	34	73	314	973	43	106	18	224	300	348	647	124	293	26	8	282	81	-77	+14	-8	+40	+80	5.0
/ 162G	—	A+C		—	650	582	131	22	6	13	55	171	8	19	3	225	301	351	651	125	294	26	8	282	81	-14	+2	-1	+7	+14	0.9
Career	—	MLE		—	7086	6338	1407	237	64	130	607	1867	80	212	41	222	298	341	639	119	292	26	9	288	81	-146	+25	-15	+74	+150	9.1
/ 162G	—	MLE		—	650	581	130	22	6	12	56	171	7	19	4	224	299	344	643	120	294	26	9	288	81	-14	+2	-1	+7	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Cliff 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
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.7	3,802	70	109	224	296	344	+41	+24	7.7	6.6
/162	664	12	19	+7.1	+4.2	1.3	pk7: 6
#5Ronny 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
#6Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5

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)	19	—	—	—	—	207/278/293	86	288	1	3	28%	8%	64	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Delino DeShields 2012 · A	19	40→50	40→45	50→65	41	195/252/281	86	270	8	16	30%	6%	51	-2.2	228/294/330	102	309	8	38	27%	7%	78	-0.3	236/312/340	103	313	6	38	24%	9%	83	+0.1
✕Gilberto Celestino 2018 · A	19	42→52	39→45	53→55	42	202/258/287	85	283	6	12	30%	7%	54	-2.0	216/266/306	90	282	7	10	24%	6%	61	-1.5	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Óscar Mercado 2014 · A	19	38→48	37→50	52→60	40	182/239/254	73	261	3	13	30%	6%	40	-3.1	192/242/258	66	239	4	23	20%	5%	41	-3.0	235/299/388	153	272	15	22	19%	7%	91	+0.5
✕Eliezer Álvarez 2014 · A	19	37→47	38→45	50→55	44	183/245/265	82	243	5	12	26%	7%	45	-2.7	233/282/341	108	299	5	13	23%	6%	75	-0.5	254/307/365	110	342	6	19	26%	6%	89	+0.3
✕Eguy Rosario 2019 · A	19	41→51	40→55	47→55	39	198/251/292	94	281	7	13	31%	6%	53	-2.1	220/268/333	113	304	9	16	29%	6%	69	-0.9	224/286/367	142	294	14	21	28%	7%	82	-0.0
✕Luis Liberato 2015 · A	19	37→47	37→50	52→50	43	181/245/254	73	265	4	14	32%	7%	42	-2.9	199/255/296	97	301	6	9	33%	7%	55	-2.0	213/280/360	147	293	15	9	31%	8%	79	-0.1
✕Oswald Peraza 2019 · A	19	43→52	35→45	54→60	41	201/265/263	62	286	2	12	29%	6%	52	-2.2	223/277/308	85	293	7	20	25%	5%	66	-1.1	225/284/355	130	284	16	30	26%	6%	77	-0.3
✕Juan Lagares 2008 · A	19	40→50	39→45	52→50	39	194/239/288	94	268	5	12	29%	5%	47	-2.6	218/247/301	83	286	5	12	25%	3%	52	-2.2	268/308/373	106	324	7	13	19%	4%	89	+0.3
✕Edwin Gomez 2007 · A	19	42	35→45	52→50	42	197/253/253	57	281	2	16	29%	7%	45	-2.7	219/296/310	91	297	7	13	26%	9%	74	-0.5	224/321/329	105	291	9	17	24%	11%	86	+0.1
✕Ceddanne Rafaela 2019 · A	18	42→52	39→55	51→55	40	205/251/286	81	270	6	16	26%	5%	51	-2.2	205/253/316	111	261	11	14	25%	5%	59	-1.6	253/291/409	156	303	17	19	22%	4%	93	+0.8
✕Luis Vázquez 2019 · A	19	40→46	36→45	49→50	39	193/237/259	66	276	3	8	30%	5%	40	-3.1	205/251/277	72	282	5	10	28%	5%	49	-2.4	227/293/349	122	296	14	8	27%	6%	79	-0.1
✕Dixon Machado 2011 · A	19	41→51	36→45	54→55	46	196/249/255	60	242	3	18	20%	6%	43	-2.8	198/251/240	42	251	2	15	20%	6%	40	-3.0	222/304/330	107	267	11	4	20%	9%	79	-0.1
✕Janelfry Zorrilla 2010 · A	19	38	38→45	51→50	38	189/234/265	77	255	6	13	28%	4%	40	-3.0	216/275/340	124	268	12	12	23%	6%	74	-0.6	220/275/339	119	277	13	9	24%	5%	72	-0.3
✕Michael Hermosillo 2015 · A	20	42→47	39→50	51→55	43	200/270/292	92	292	6	11	32%	8%	61	-1.5	217/292/295	78	287	5	17	24%	8%	70	-0.9	227/300/346	119	306	11	20	28%	7%	83	+0.1
✕Gilbert Gomez 2011 · A	19	40→37	37→40	54→50	44	191/258/270	80	263	4	18	28%	7%	51	-2.2	202/266/283	81	296	5	9	31%	7%	57	-1.8	194/265/261	67	295	4	7	33%	8%	48	-1.4
✕Victor Tademo 2018 · A	19	39	37→40	52→55	37	189/240/263	74	277	4	14	32%	5%	42	-2.9	195/241/256	61	285	3	7	31%	5%	40	-3.0	181/217/201	20	252	0	3	27%	4%	17	-1.4
✕Andruw Monasterio 2016 · A	19	44→54	36→45	53→55	47	207/266/272	65	255	3	13	20%	6%	54	-2.0	209/262/268	59	269	2	10	22%	6%	51	-2.3	240/320/337	97	310	8	23	24%	9%	88	+0.3
✕Junior Lake 2009 · A	19	43→53	38→45	54→55	37	204/249/290	86	296	5	12	32%	5%	51	-2.2	211/249/307	96	315	8	13	34%	4%	55	-2.0	228/299/358	130	286	13	19	24%	8%	84	+0.1
✕Samad Taylor 2019 · A	21	38→48	41→45	54→65	45	190/253/296	106	249	8	22	26%	7%	55	-1.9	192/267/308	116	292	10	25	35%	8%	63	-1.3	235/311/365	130	323	13	46	29%	9%	92	+0.4
✕Daz Cameron 2016 · A	19	44→45	35→50	53→55	41	202/266/259	57	309	2	21	33%	7%	51	-2.2	197/257/296	99	303	7	18	35%	7%	57	-1.8	225/296/393	168	284	19	27	27%	8%	91	+0.3

Career Stats + Projections

Career Comps

Career Path Comps