Miguel Sosa — OGILVIE

Miguel SosaC FCL Pirates

Age 22 R/R 5'10" / 181 lbs ROK BB +7% Svc 0.0 · Ctrl thru 2037 peak 1.6 · 2031

wRC+†61

AVG/OBP/SLG.202 / .273 / .307

PA106

HR2

K%32

BB%8

MLB%0%

trajectory · 10 yrs

1.5peak

2031

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	+1.5	$14M	+$13M
2033	Ext / FA-deal	$1.0M	+1.3	$13M	+$12M
2034	Ext / FA-deal	$1.0M	+1.1	$11M	+$10M
2035	Ext / FA-deal	$1M	+0.8	$4M	+$3M
2036	Ext / FA-deal	$1M	+0.5	$3M	+$1M
2037	Ext / FA-deal	$0.6M	+0.1	$0.6M	-$0.1M
Totals		$6M		$46M	+$39M

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 PIT Gold	88	75	15	2	0	1	8	25	3	0	1	.200	.302	.267	.569	.067	.280	28	9	.250	50	-5	-0	+0	+2	+2	-0.1
2022	18	ROK	DSL PIT Black	109	91	23	7	0	3	16	17	1	3	3	.253	.370	.429	.799	.176	.278	16	15	.343	121	+3	-1	+0	+2	+3	0.7
2023	19	ROK	FCL Pirates	103	80	17	2	0	4	19	37	2	0	1	.212	.376	.388	.764	.175	.317	36	18	.332	112	+1	-0	+0	+2	+3	0.6
2024	20	ROK	2 teams	169	148	27	6	0	1	19	76	1	1	2	.182	.280	.243	.523	.061	.366	45	11	.241	43	-11	-1	+0	+3	+5	-0.4
▸ 2026 Season
2026	22	MLB	PIT	106	96	20	4	1	2	8	34	1	2	0	.208	.276	.333	.610	.125	.289	32	8	.266	61	-5	+0	+0	+2	+3	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	PIT	155	140	29	5	1	3	13	47	1	2	1	.207	.279	.321	.601	.114	.291	30	8	.281	74	-5	+0	+0	+3	+4	0.3
2028	24	MLB 26%	PIT	275	246	55	10	2	7	24	81	3	4	1	.224	.300	.366	.666	.142	.292	29	9	.291	81	-6	+0	+0	+5	+8	0.7
2029	25	MLB 43%	PIT	351	314	70	13	2	9	31	101	3	6	1	.223	.299	.363	.662	.140	.293	29	9	.298	86	-5	+1	+0	+6	+10	1.2
2030	26	MLB 58%	PIT	402	359	79	14	2	11	36	115	4	6	1	.220	.298	.362	.660	.142	.294	29	9	.301	89	-5	+1	+0	+7	+11	1.5
2031	27	MLB 76%	PIT	427	381	85	15	2	12	39	123	4	7	1	.223	.302	.367	.669	.144	.294	29	9	.301	89	-5	+1	+0	+8	+12	1.6
2032	28	MLB 84%	PIT	439	391	87	16	2	12	41	127	4	6	1	.223	.303	.366	.668	.143	.294	29	9	.300	88	-6	+1	-1	+8	+12	1.5
2033	29	MLB 90%	PIT	439	391	86	15	2	12	41	128	4	5	1	.220	.300	.361	.661	.141	.293	29	9	.298	86	-7	+1	-1	+8	+12	1.3
2034	30	MLB	PIT	435	387	84	15	2	11	41	129	4	4	0	.217	.299	.351	.650	.134	.291	30	9	.295	84	-8	+1	-2	+8	+12	1.1
2035	31	MLB	PIT	412	367	78	14	2	10	38	124	4	2	0	.213	.293	.343	.637	.131	.290	30	9	.291	81	-9	+0	-3	+7	+12	0.8
2036	32	MLB	PIT	385	342	72	13	2	9	36	118	4	0	0	.211	.293	.339	.632	.129	.288	31	9	.287	77	-10	+0	-4	+7	+11	0.5
2037	33	MLB	PIT	348	310	64	11	2	8	32	109	3	0	0	.206	.287	.332	.619	.126	.287	31	9	.281	73	-10	+0	-4	+6	+10	0.1
2038	34	MLB	PIT	297	265	52	9	1	6	27	95	3	0	0	.196	.278	.306	.584	.109	.285	32	9	.275	68	-11	+0	-5	+5	+8	-0.2
2039	35	MLB	PIT	243	217	42	7	1	5	22	80	2	0	0	.194	.274	.304	.578	.111	.283	33	9	.267	63	-10	+0	-6	+4	+7	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			5183	4600	985	178	24	126	491	1566	51	48	14	.214	.297	.345	.642	.131	.293	30	9	.291	81	-114	+4	-25	+93	+147	10.7
/ 162G	—			650	577	123	22	3	16	62	196	6	6	2	.213	.296	.345	.641	.132	.291	30	10	.291	81	-14	+0	-3	+12	+18	1.3

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 PIT Gold	88	71	17	2	1	12	18	3	0	1	.239	.372	.310	.682	.070	.302	20	14	.317	101	+0	-0	—	—	+2	0.2
2022	18	ROK	DSL PIT Black	109	82	25	8	3	25	12	1	3	3	.305	.472	.512	.984	.207	.324	11	23	.435	191	+11	-1	—	—	+3	1.4
2023	19	ROK	FCL Pirates	103	69	20	3	4	30	23	2	0	1	.290	.515	.507	1.022	.217	.364	22	29	.450	202	+12	-0	—	—	+3	1.5
2024	20	A	Bradenton Marauders	68	55	11	4	1	12	23	0	0	0	.200	.343	.327	.671	.127	.323	34	18	.309	95	-0	+0	—	—	+2	0.2
2024	20	ROK	FCL Pirates	101	85	27	5	0	15	31	1	1	2	.318	.426	.376	.802	.059	.500	31	15	.372	143	+5	-1	—	—	+3	0.7

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
Miguel Sosa (OGILVIE)	22	—	—	—	—	.202/.273/.307	.105	.289	2	2	32%	8%	61	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
●James McCann 2012 · A	22	41→51	42→50	49→45	39	.203/.260/.306	.103	.288	9	7	32%	6%	55	-1.4	.223/.261/.310	.087	.291	6	6	24%	4%	55	-1.4	.254/.315/.415	.161	.331	20	4	28%	7%	104	+1.1
✕Blaze Alexander 2021 · A	22	45→48	42→50	51→50	43	.218/.284/.328	.110	.300	9	11	29%	7%	71	-0.3	.204/.275/.332	.128	.317	14	12	38%	7%	69	-0.4	.220/.308/.345	.126	.328	13	10	34%	8%	84	+0.4
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	.205/.269/.327	.122	.280	11	10	30%	7%	65	-0.7	.196/.267/.342	.146	.271	17	7	33%	8%	69	-0.4	.206/.283/.412	.206	.265	29	1	33%	8%	91	+0.6
✕John Hester 2007 · A	23	42	43→55	50	41	.206/.271/.327	.122	.299	10	7	33%	7%	65	-0.7	.224/.267/.365	.141	.298	14	7	29%	5%	72	-0.2	.249/.292/.416	.167	.322	15	10	27%	5%	94	+0.7
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	35	.183/.259/.287	.104	.311	11	11	42%	6%	51	-1.7	.198/.263/.310	.112	.287	13	7	34%	6%	58	-1.2	.185/.242/.280	.095	.261	13	5	33%	5%	38	-1.0
●Hunter Goodman 2022 · A	22	46→47	42→65	50→40	43	.220/.291/.330	.111	.304	9	7	29%	7%	75	-0.0	.215/.268/.415	.200	.284	26	4	34%	6%	88	+0.9	.221/.275/.455	.234	.259	32	2	29%	6%	99	+1.4
●Jonathan India 2019 · A	22	43→51	45→50	51→50	45	.208/.290/.333	.125	.296	12	10	32%	8%	76	+0.0	.217/.304/.340	.123	.297	12	10	29%	9%	83	+0.6	.243/.342/.393	.150	.294	17	11	22%	10%	107	+1.9
✕Jack Brannigan 2023 · A	22	43	43→50	48→50	43	.207/.283/.317	.110	.309	11	13	34%	8%	68	-0.5	.202/.282/.359	.157	.299	19	17	37%	8%	79	+0.3	.185/.268/.344	.160	.263	20	18	36%	8%	67	-0.3
✕Corey Joyce 2021 · A	22	44	40→45	50	40	.212/.268/.307	.095	.307	8	8	32%	6%	58	-1.2	.203/.290/.313	.110	.295	11	12	32%	9%	70	-0.3	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
●Tyler Stephenson 2019 · A	22	43→53	42→50	46→30	44	.212/.280/.315	.103	.285	10	3	28%	8%	66	-0.6	.232/.305/.347	.115	.297	11	3	24%	8%	85	+0.7	.253/.327/.399	.146	.323	16	1	25%	9%	102	+1.3
●Bo Naylor 2021 · A	21	41→43	44→55	50	43	.203/.259/.325	.122	.273	11	7	29%	7%	59	-1.1	.199/.278/.352	.153	.276	18	12	33%	9%	75	-0.0	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
✕Ramon Santana 2008 · A	22	44→53	44→45	49→45	46	.214/.295/.332	.118	.288	11	7	28%	8%	77	+0.1	.215/.282/.328	.113	.315	10	8	33%	6%	70	-0.3	.212/.276/.321	.109	.318	8	4	33%	6%	62	-0.4
✕Marcus Greene Jr. 2016 · A	21	42	46→50	52→40	44	.205/.283/.341	.136	.298	13	8	34%	9%	74	-0.1	.199/.260/.324	.125	.272	14	4	31%	7%	60	-1.0	.192/.251/.302	.111	.255	13	1	29%	6%	48	-0.7
✕Adrian Del Castillo 2023 · A	23	36→45	43→55	52→40	41	.184/.246/.294	.110	.257	10	7	32%	7%	46	-2.0	.210/.280/.351	.141	.289	15	4	31%	8%	76	+0.0	.218/.292/.382	.164	.293	19	1	31%	9%	86	+0.5
✕Jordan Newton 2008 · A	22	45	43→55	50	40	.221/.271/.331	.110	.296	10	11	28%	5%	66	-0.6	.219/.261/.343	.124	.314	10	9	32%	4%	64	-0.8	.220/.263/.347	.128	.318	10	8	33%	4%	63	-0.4
✕Yu Chang 2017 · A	21	41→44	45→50	49→45	39	.206/.256/.333	.127	.283	12	8	31%	6%	60	-1.0	.202/.261/.347	.145	.281	16	8	33%	6%	66	-0.6	.213/.268/.374	.161	.271	20	6	29%	6%	75	-0.0
●Eduardo Valencia 2023 · A	23	44→54	42→50	49→30	45	.215/.282/.315	.100	.276	10	5	25%	7%	67	-0.5	.222/.280/.345	.123	.283	14	4	26%	7%	73	-0.1	.250/.305/.416	.166	.304	22	0	25%	6%	100	+1.0
✕Andrew Susac 2013 · A	23	42→39	43→50	46→30	45	.207/.280/.320	.113	.292	11	4	31%	8%	67	-0.5	.217/.291/.360	.143	.291	16	3	29%	9%	82	+0.5	.217/.295/.373	.156	.282	19	1	29%	9%	85	+0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)