Jediael Maduro — OGILVIE

Jediael MaduroLF ACL Giants

Age 22 L/L 6'1" / 188 lbs ROK BB -3% Svc 0.0 · Ctrl thru 2037 peak 0.3 · 2030

wRC+†60

AVG/OBP/SLG.205 / .272 / .305

PA50

HR1

K%30

BB%7

MLB%0%

trajectory · 10 yrs

0.3peak

2030

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	Ext / FA-deal	$0.9M	+0.2	$1.0M	+$0.0M
2033	Ext / FA-deal	$1.0M	+0.1	$0.5M	-$0.5M
2034	Ext / FA-deal	$1.0M	—	—	—
2035	Ext / FA-deal	$0.2M	—	—	—
2036	Ext / FA-deal	$0.4M	—	—	—
2037	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$-10M	-$14M

Career Projections (MLE)

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	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
2021	17	ROK	DSL Giants Orange	107	92	17	2	0	1	12	25	2	2	1	.185	.292	.239	.532	.054	.239	23	11	.240	42	-7	+0	+0	-1	+3	-0.5
2022	18	ROK	ACL Giants Orange	138	123	21	5	0	1	12	46	2	0	2	.171	.255	.236	.491	.065	.263	33	9	.227	32	-11	-1	+0	-1	+4	-0.9
2023	19	ROK	ACL Giants Black	107	94	18	3	0	1	10	40	3	0	0	.191	.290	.255	.545	.064	.321	37	9	.232	36	-8	+0	+0	-1	+3	-0.6
2024	20	ROK	ACL Giants	70	62	12	2	0	0	3	19	3	0	0	.194	.265	.226	.491	.032	.267	27	4	.215	23	-6	+0	+0	-1	+2	-0.5
▸ 2026 Season
2026	22	MLB	SF	50	45	10	2	0	1	4	15	1	1	0	.222	.300	.333	.633	.111	.287	30	8	.264	60	-2	+0	+0	-1	+1	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	SF	107	97	21	4	1	2	8	31	1	2	0	.216	.283	.340	.623	.124	.290	29	7	.281	73	-3	+0	+0	-1	+3	-0.1
2028	24	MLB 26%	SF	237	214	48	8	2	6	19	66	2	4	1	.224	.294	.364	.658	.140	.291	28	8	.291	81	-5	+0	+0	-3	+7	-0.1
2029	25	MLB 43%	SF	323	290	64	11	2	8	27	89	3	5	1	.221	.294	.355	.649	.134	.292	28	8	.298	86	-5	+1	+0	-3	+9	0.1
2030	26	MLB 58%	SF	380	340	76	13	2	10	33	104	4	6	1	.224	.300	.362	.661	.138	.293	27	9	.302	89	-5	+1	+0	-4	+11	0.3
2031	27	MLB 76%	SF	410	367	83	14	3	11	36	113	4	6	1	.226	.302	.371	.673	.144	.293	28	9	.302	89	-5	+1	+0	-4	+12	0.3
2032	28	MLB 84%	SF	426	381	86	15	3	11	38	118	4	6	1	.226	.303	.367	.670	.142	.293	28	9	.301	88	-6	+1	-1	-5	+12	0.2
2033	29	MLB 90%	SF	428	383	86	15	3	11	38	120	4	5	0	.225	.301	.366	.667	.141	.292	28	9	.299	87	-6	+1	-1	-5	+12	0.1
2034	30	MLB	SF	426	381	84	15	2	11	38	121	4	4	0	.220	.298	.357	.655	.136	.290	28	9	.295	84	-8	+1	-2	-5	+12	-0.1
2035	31	MLB	SF	417	373	81	14	2	10	37	120	4	2	0	.217	.295	.346	.641	.129	.289	29	9	.292	81	-9	+0	-3	-4	+12	-0.4
2036	32	MLB	SF	402	359	77	13	2	10	36	118	4	0	0	.214	.293	.345	.639	.131	.287	29	9	.287	78	-10	+0	-4	-4	+11	-0.7
2037	33	MLB	SF	374	334	70	12	2	8	33	112	4	0	0	.210	.288	.329	.618	.120	.286	30	9	.282	74	-11	+0	-4	-4	+11	-0.9
2038	34	MLB	SF	331	296	61	10	2	7	29	102	3	0	0	.206	.284	.324	.608	.118	.284	31	9	.275	69	-12	+0	-5	-4	+9	-1.1
▸ Career Totals (MLE all levels + projections)
Career	—			4733	4231	915	158	26	109	413	1359	52	43	8	.216	.294	.343	.637	.127	.289	29	9	.287	78	-118	+5	-20	-51	+134	-5.0
/ 162G	—			650	581	126	22	4	15	57	187	7	6	1	.217	.295	.346	.641	.129	.291	29	9	.287	78	-16	+1	-3	-7	+18	-0.7

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	PA	AB	H	2B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2021	17	ROK	DSL Giants Orange	107	84	21	3	1	20	16	2	2	1	.250	.406	.321	.727	.071	.294	15	19	.343	121	+3	+0	—	—	+3	0.6
2022	18	ROK	ACL Giants Orange	138	117	27	7	2	18	33	2	0	2	.231	.343	.342	.685	.111	.305	24	13	.315	99	-0	-1	—	—	+4	0.3
2023	19	ROK	ACL Giants Black	107	89	24	4	1	15	28	3	0	0	.270	.393	.348	.741	.079	.383	26	14	.347	123	+3	+0	—	—	+3	0.6
2024	20	ROK	ACL Giants	70	59	14	2	0	6	13	3	0	0	.237	.338	.271	.609	.034	.292	19	9	.283	75	-2	+0	—	—	+2	-0.0

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
Jediael Maduro (OGILVIE)	22	—	—	—	—	.205/.272/.305	.100	.287	1	1	30%	7%	60	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Maton 2019 · A	22	41	43→50	47→45	40	.205/.254/.316	.111	.280	10	6	30%	6%	54	-1.4	.206/.270/.307	.101	.282	9	8	28%	7%	59	-1.1	.214/.305/.368	.154	.264	18	4	25%	10%	88	+0.6
✕Enmanuel Valdez 2021 · A	22	39→46	42→60	46→45	40	.197/.250/.302	.104	.268	10	9	30%	6%	50	-1.8	.217/.274/.390	.173	.270	22	8	28%	7%	83	+0.6	.224/.290/.404	.180	.268	24	8	26%	8%	90	+0.8
✕Tirso Ornelas 2022 · A	22	40→50	38→50	48→45	44	.191/.257/.275	.084	.274	5	5	31%	8%	46	-2.0	.236/.295/.354	.118	.303	11	6	25%	7%	82	+0.5	.245/.303/.373	.128	.302	14	7	23%	7%	87	+0.8
✕Travis Blankenhorn 2019 · A	22	40→43	45→55	51→50	38	.201/.261/.328	.127	.288	11	7	33%	6%	61	-1.0	.215/.262/.357	.142	.295	16	9	32%	5%	69	-0.4	.211/.283/.380	.168	.276	21	6	31%	8%	81	+0.3
✕Daniel Schneemann 2019 · A	22	39→49	40→50	50	43	.189/.254/.283	.094	.277	7	6	33%	8%	46	-2.0	.211/.272/.298	.087	.290	7	8	28%	7%	57	-1.2	.226/.305/.377	.151	.297	15	13	28%	10%	89	+0.7
✕Parker Meadows 2022 · A	22	37→47	41→55	44→55	41	.185/.244/.280	.095	.257	9	9	31%	7%	41	-2.3	.218/.280/.374	.156	.279	17	16	27%	7%	82	+0.5	.225/.292/.400	.175	.278	20	21	26%	8%	91	+1.1
✕Carlos Guzman 2008 · A	22	40→48	43→50	53→50	44	.197/.278/.309	.112	.288	11	9	33%	8%	64	-0.8	.221/.269/.333	.112	.308	12	9	31%	6%	65	-0.7	.235/.287/.332	.097	.308	10	3	26%	6%	70	-0.2
✕Akil Baddoo 2021 · A	22	41→51	43→55	55	44	.198/.268/.314	.116	.295	9	14	34%	8%	60	-1.0	.234/.308/.374	.140	.313	14	21	27%	10%	92	+1.2	.232/.314/.375	.143	.300	15	24	26%	11%	91	+0.8
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	.188/.259/.305	.117	.281	12	9	36%	7%	55	-1.4	.194/.278/.291	.097	.346	7	8	42%	9%	59	-1.1	.146/.273/.221	.075	.359	3	4	52%	12%	39	-0.5
✕Chris Meyers 2022 · A	23	41→46	42→50	51→40	45	.201/.269/.304	.103	.264	9	11	26%	7%	59	-1.1	.222/.280/.362	.140	.293	16	7	29%	6%	79	+0.3	.226/.286/.378	.152	.294	19	3	29%	6%	82	+0.3
✕Mike Papi 2015 · A	22	39→47	41→45	50→45	50	.193/.270/.290	.097	.251	9	7	26%	9%	56	-1.3	.198/.278/.306	.108	.280	9	6	30%	9%	63	-0.8	.211/.294/.337	.126	.280	14	4	28%	10%	76	+0.1
✕Grant Witherspoon 2019 · A	22	40→45	41→55	52→50	37	.196/.247/.291	.094	.295	8	9	35%	6%	44	-2.1	.200/.250/.306	.106	.278	11	12	31%	6%	50	-1.7	.216/.275/.377	.161	.291	21	14	32%	7%	77	+0.1
✕Ashton McGee 2021 · A	22	41	39→50	50→40	41	.194/.258/.283	.089	.288	5	5	33%	7%	48	-1.9	.206/.290/.322	.116	.364	11	3	42%	10%	72	-0.2	.191/.284/.307	.117	.346	12	2	44%	11%	63	-0.4
✕Mike Daniel 2007 · A	22	39→49	42→45	48→50	42	.193/.256/.293	.100	.274	10	11	32%	7%	50	-1.8	.232/.283/.346	.114	.314	11	14	28%	6%	74	-0.1	.239/.288/.351	.112	.317	11	15	27%	6%	75	+0.0
✕Luis Liberato 2018 · A	22	43→51	44→50	50	40	.209/.260/.333	.124	.300	10	7	33%	6%	61	-1.0	.216/.262/.350	.134	.285	15	7	29%	6%	67	-0.5	.210/.278/.360	.150	.290	16	9	32%	8%	75	+0.0
✕Bijan Rademacher 2013 · A	22	43→48	38→45	49→45	42	.208/.255/.290	.081	.277	5	8	26%	6%	47	-1.9	.233/.291/.333	.100	.297	7	7	22%	7%	74	-0.1	.246/.316/.359	.114	.304	10	4	21%	9%	89	+0.6
✕Roman Pena 2009 · A	22	42→52	43→50	45	38	.208/.259/.316	.108	.298	10	6	33%	6%	57	-1.2	.196/.258/.303	.107	.276	10	8	31%	7%	53	-1.5	.233/.303/.392	.159	.312	16	7	29%	9%	92	+0.8
✕Juan Silva 2013 · A	22	45→47	42→45	48→55	46	.215/.287/.318	.103	.305	9	12	30%	9%	69	-0.4	.227/.304/.329	.102	.305	8	23	26%	10%	79	+0.3	.224/.305/.319	.095	.293	7	29	24%	10%	74	-0.1
✕Jace Jung 2023 · A	22	45→42	39→55	50→40	50	.212/.293/.305	.093	.295	6	8	28%	10%	69	-0.4	.219/.303/.384	.165	.289	20	4	29%	10%	94	+1.3	.212/.303/.382	.169	.274	21	3	29%	11%	91	+1.0
✕Conner Capel 2019 · A	22	41→45	44→45	47→55	44	.208/.266/.330	.122	.270	11	11	27%	7%	63	-0.8	.210/.262/.328	.118	.279	12	11	28%	6%	61	-1.0	.216/.288/.339	.123	.271	13	19	24%	8%	71	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)