Elio Prado — OGILVIE

Elio PradoCF Jersey Shore BlueClaws

Age 24 R/R 6'0" / 160 lbs A+ HR +11%H +4% Svc 0.0 · Ctrl thru 2035

wRC+†49

AVG/OBP/SLG.192 / .257 / .287

PA234

HR4

SB5

K%31

BB%7

MLB%0%

Scouting · now → future

HIT

35→35

PWR

30→30

SPD

45→45

EYE

45↘35

trajectory · 10 yrs

-0.3peak

2028

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$0.2M	—	—	—
2034	Ext / FA-deal	$0.4M	—	—	—
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$-1M		$-24M	-$22M

Underwater contract
Projected production over the remaining contract is worth -$22M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
2019	17	ROK	DSL Orioles 1	261	228	50	8	0	2	19	52	9	12	10	.219	.305	.281	.585	.061	.273	20	7	.261	58	-12	-2	+0	+1	+7	-0.6
2022	20	A	Delmarva Shorebirds	284	248	43	5	1	1	25	85	10	3	2	.173	.276	.214	.489	.040	.258	30	9	.230	34	-21	-0	+0	+1	+8	-1.2
2023	21	A	2 teams	442	398	78	11	3	11	27	114	13	13	9	.196	.269	.322	.591	.126	.243	26	6	.258	55	-22	-1	+0	+2	+13	-0.9
2024	22	A+	Aberdeen IronBirds	305	275	46	9	1	3	26	86	3	19	9	.167	.247	.240	.487	.073	.230	28	9	.222	28	-25	+0	+0	+1	+9	-1.5
2025	23	A+	2 teams	246	223	38	6	0	2	12	91	4	5	3	.170	.226	.224	.450	.054	.269	37	5	.203	13	-24	-0	+0	+1	+7	-1.7
▸ 2026 Season
2026	24	MLB	PHI	234	214	41	7	1	4	15	72	3	5	3	.192	.254	.290	.544	.098	.270	31	6	.250	49	-13	-0	+0	+1	+7	-0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 10%	PHI	297	270	55	10	1	6	21	88	4	7	3	.204	.271	.315	.586	.111	.273	30	7	.261	58	-14	+0	+0	+1	+8	-0.4
2028	26	MLB 25%	PHI	356	322	67	12	2	7	26	104	5	8	3	.208	.278	.323	.601	.115	.275	29	7	.268	63	-15	+0	+0	+1	+10	-0.3
2029	27	MLB 43%	PHI	381	345	72	13	2	8	28	110	5	8	4	.209	.278	.328	.605	.119	.276	29	7	.271	65	-15	+0	+0	+1	+11	-0.3
2030	28	MLB 52%	PHI	396	358	74	13	2	8	30	115	5	7	3	.207	.277	.321	.599	.115	.276	29	8	.271	66	-15	+0	-1	+1	+11	-0.3
2031	29	MLB 63%	PHI	397	359	74	13	2	8	30	116	5	7	3	.206	.277	.320	.597	.114	.275	29	8	.269	64	-16	+0	-1	+1	+11	-0.5
2032	30	MLB 73%	PHI	396	358	72	13	1	8	30	117	5	6	3	.201	.272	.310	.582	.109	.274	30	8	.266	62	-17	+0	-2	+1	+11	-0.7
2033	31	MLB 90%	PHI	385	348	68	12	1	7	29	116	5	4	2	.195	.267	.296	.563	.101	.272	30	8	.262	59	-18	+0	-3	+1	+11	-0.9
2034	32	MLB	PHI	368	332	65	12	1	6	28	112	5	3	2	.196	.268	.292	.561	.096	.271	30	8	.258	55	-19	-0	-4	+1	+10	-1.1
2035	33	MLB	PHI	340	307	59	10	1	6	26	106	4	2	2	.192	.264	.290	.554	.098	.269	31	8	.252	51	-19	-0	-4	+1	+10	-1.3
2036	34	MLB	PHI	297	269	51	9	1	5	22	95	4	1	2	.190	.261	.286	.547	.097	.267	32	7	.246	47	-18	-1	-5	+1	+8	-1.4
▸ Career Totals (MLE all levels + projections)
Career	—			5385	4854	953	163	20	92	394	1579	89	110	63	.196	.269	.295	.564	.099	.268	29	7	.255	53	-284	-3	-20	+19	+153	-13.7
/ 162G	—			650	586	115	20	2	11	48	191	11	13	8	.196	.270	.294	.564	.097	.268	29	7	.255	53	-34	-1	-2	+2	+18	-1.7

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	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2019	17	ROK	DSL Orioles 1	261	217	65	12	0	3	30	36	9	12	10	.300	.406	.396	.803	.097	.344	14	11	.362	135	+10	-2	—	—	+7	1.6
2022	20	A	Delmarva Shorebirds	284	234	46	6	2	1	39	63	10	3	2	.197	.336	.252	.588	.056	.263	22	14	.285	77	-8	-0	—	—	+8	0.0
2023	21	A+	Aberdeen IronBirds	162	142	34	7	2	5	12	37	6	6	2	.239	.325	.423	.748	.183	.287	23	7	.330	111	+2	+0	—	—	+5	0.7
2023	21	A	Delmarva Shorebirds	280	239	60	8	2	7	32	46	7	7	7	.251	.356	.389	.745	.138	.282	16	11	.337	116	+5	-1	—	—	+8	1.2
2024	22	A+	Aberdeen IronBirds	305	260	58	11	2	4	40	65	3	19	9	.223	.332	.327	.659	.104	.281	21	13	.305	91	-3	+0	—	—	+9	0.6
2025	23	AA	Reading Fightin Phils	90	80	16	3	0	1	8	32	1	2	2	.200	.281	.275	.556	.075	.312	36	9	.257	55	-5	-0	—	—	+3	-0.3
2025	23	A+	Jersey Shore BlueClaws	156	135	30	5	0	2	12	39	3	3	1	.222	.300	.304	.604	.081	.289	25	8	.269	64	-6	+0	—	—	+4	-0.2

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
Elio Prado (OGILVIE)	24	35	30	45	35	.192/.257/.287	.095	.270	4	5	31%	7%	49	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dylan Neuse 2023 · A	24	37	39→40	49→50	44	.183/.260/.264	.081	.271	8	14	33%	9%	45	-2.1	.205/.286/.296	.091	.292	7	13	29%	9%	63	-0.8	.211/.301/.305	.094	.293	5	13	27%	10%	72	-0.1
✕Grae Kessinger 2022 · AA	24	37→29	42→45	48→50	42	.191/.254/.286	.095	.257	11	14	30%	7%	47	-1.9	.192/.267/.310	.118	.259	14	15	30%	8%	59	-1.1	.186/.266/.299	.113	.246	14	14	29%	9%	54	-0.9
✕Rowdey Jordan 2023 · AA	24	42→41	39→45	47→55	44	.203/.268/.291	.089	.286	6	12	30%	8%	54	-1.4	.202/.271/.316	.114	.282	12	20	31%	8%	63	-0.9	.194/.264/.311	.117	.271	13	23	32%	7%	56	-0.8
✕Cody Bohanek 2019 · AAA	24	39→36	38→40	46→50	41	.190/.267/.263	.073	.273	7	9	31%	6%	48	-1.9	.177/.269/.263	.086	.290	7	12	38%	8%	50	-1.8	.150/.256/.240	.090	.264	8	16	41%	8%	38	-1.5
✕Claudio Finol 2023 · AA	23	39	38→40	49→45	40	.187/.243/.265	.078	.259	5	8	29%	6%	37	-2.7	.205/.266/.297	.092	.292	8	10	31%	7%	55	-1.4	.195/.264/.279	.084	.281	10	12	32%	7%	48	-0.5
✕Ryan Dent 2013 · AAA	24	40→42	38→40	43→50	41	.196/.249/.269	.073	.271	6	9	29%	6%	40	-2.4	.210/.263/.292	.082	.292	6	12	28%	6%	52	-1.6	.207/.258/.294	.088	.289	6	12	29%	5%	48	-1.0
✕Connor Justus 2019 · AA	24	39→37	38→40	42→45	46	.188/.273/.266	.078	.268	6	8	30%	8%	51	-1.7	.174/.249/.243	.069	.257	5	8	32%	7%	35	-2.8	.148/.220/.200	.051	.226	3	6	33%	6%	9	-2.7
✕Alika Williams 2023 · AAA	24	43→44	42→45	44→45	43	.211/.265/.309	.098	.267	10	7	25%	6%	57	-1.2	.221/.276/.328	.107	.282	10	7	24%	6%	67	-0.5	.227/.280/.331	.104	.286	10	6	23%	6%	66	-0.4
✕Mike Martin 2017 · A	24	45	36→30	51→55	44	.210/.279/.272	.062	.287	4	14	27%	7%	54	-1.4	.230/.281/.300	.070	.287	4	18	20%	6%	61	-1.0	.245/.291/.304	.059	.296	2	27	17%	5%	63	-0.4
✕Max Burt 2021 · AA	24	39	39→45	44→55	35	.194/.241/.275	.081	.273	8	6	31%	4%	38	-2.6	.201/.251/.316	.115	.288	13	15	33%	5%	53	-1.5	.192/.248/.313	.122	.271	15	21	34%	6%	49	-1.0
✕Jon Murphy 2013 · A	23	39	38→30	47→50	39	.188/.240/.266	.078	.269	5	13	31%	6%	35	-2.8	.202/.255/.266	.064	.303	4	10	32%	6%	41	-2.3	.197/.253/.251	.053	.301	3	10	33%	6%	33	-1.5
✕Steven Baron 2015 · AA	24	40	39→45	52→50	37	.196/.234/.288	.092	.269	6	9	29%	4%	37	-2.6	.223/.277/.303	.080	.306	5	8	27%	7%	60	-1.0	.231/.292/.300	.069	.316	5	6	27%	7%	62	-0.4
✕Nick Meyer 2022 · AAA	25	41	38→40	48→50	43	.200/.261/.271	.071	.264	6	13	26%	6%	46	-2.0	.216/.288/.312	.096	.280	10	15	25%	8%	69	-0.4	.201/.280/.289	.088	.259	11	18	25%	9%	56	-0.6
✕Adelaido Martinez 2013 · AAA	24	42	41→40	45→40	37	.210/.244/.311	.101	.261	9	9	24%	3%	48	-1.9	.221/.250/.306	.085	.267	7	8	20%	3%	50	-1.8	.224/.250/.281	.057	.264	5	4	17%	2%	40	-0.7
✕Tyler Reichenborn 2022 · A	24	37→44	42→45	42→50	40	.183/.254/.294	.110	.274	9	8	35%	7%	50	-1.8	.203/.278/.295	.092	.278	9	12	28%	8%	60	-1.0	.202/.282/.286	.084	.266	9	14	26%	8%	57	-0.7
✕Rylan Sandoval 2012 · A	24	39	40	45	37	.190/.256/.282	.091	.284	8	5	34%	5%	47	-1.9	.206/.258/.300	.094	.302	8	6	33%	5%	52	-1.6	.213/.261/.298	.086	.310	7	6	32%	5%	48	-0.7
✕Connor McVey 2019 · A	24	45	40→30	46→50	45	.214/.287/.304	.090	.311	7	9	32%	8%	66	-0.6	.205/.305/.281	.076	.291	6	9	29%	10%	69	-0.4	.188/.306/.248	.060	.265	6	9	28%	12%	59	-0.7
✕Jan Vázquez 2015 · AA	24	41	42→40	46→45	39	.206/.262/.303	.097	.286	11	9	31%	6%	55	-1.4	.212/.282/.306	.094	.294	8	8	29%	7%	65	-0.7	.217/.296/.306	.089	.289	8	7	26%	7%	67	-0.2
✕Riccio Torrez 2014 · AA	24	40→34	41→40	47→45	39	.196/.253/.290	.095	.244	8	6	23%	4%	48	-1.9	.201/.253/.295	.094	.270	8	7	28%	4%	49	-1.8	.152/.175/.220	.069	.221	5	4	33%	2%	-9	-1.1
✕Nick Quintana 2022 · A	24	33→40	43→45	47→45	44	.172/.252/.279	.107	.245	11	6	33%	8%	46	-2.0	.191/.275/.301	.110	.267	11	5	30%	9%	61	-1.0	.177/.269/.279	.102	.246	10	3	30%	10%	50	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)