Miguel Sosa — OGILVIE

Miguel SosaC FCL Pirates

Age 22 R/R 5'10" / 181 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 106 proj PA

wRC+†65

AVG/OBP/SLG.199 / .277 / .295

PA9

HR0

K%32

BB%9

ISO96

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$15M 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	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$0.6M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.8M

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2021	17	ROK	DSL PIT Gold	—	88	71	17	2	0	1	12	18	3	0	1	239	372	310	682	70	302	20	14	317	101	+0	-0	—	—	+2	0.2
2022	18	ROK	DSL PIT Black	—	109	82	25	8	0	3	25	12	1	3	3	305	472	512	984	207	324	11	23	435	180	+10	-1	—	—	+2	1.2
2023	19	ROK	FCL Pirates	—	103	69	20	3	0	4	30	23	2	0	1	290	515	507	1.022	217	364	22	29	450	191	+11	-0	—	—	+2	1.3
2024	20	A	Bradenton Marauders	—	68	55	11	4	0	1	12	23	0	0	0	200	343	327	671	127	323	34	18	309	95	-0	+0	—	—	+1	0.1
2024	20	ROK	FCL Pirates	—	101	85	27	5	0	0	15	31	1	1	2	318	426	376	802	59	500	31	15	372	138	+5	-1	—	—	+2	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL PIT Gold	—	88	75	14	1	0	1	8	25	3	0	1	187	291	240	531	53	251	28	9	239	48	-5	-0	—	—	+2	-0.4
2022	18	ROK MLE	DSL PIT Black	—	109	91	23	7	0	3	16	17	1	3	3	253	370	429	799	176	260	16	15	335	113	+2	-1	—	—	+2	0.3
2023	19	ROK MLE	FCL Pirates	—	103	80	17	2	0	4	19	35	2	0	1	212	376	388	764	175	290	34	18	333	112	+1	-0	—	—	+2	0.3
2024	20	A MLE	Bradenton Marauders	—	68	58	9	3	0	1	9	34	0	0	0	155	269	259	527	103	291	50	13	219	34	-5	+0	—	—	+1	-0.4
2024	20	ROK MLE	FCL Pirates	—	101	90	19	3	0	0	10	43	1	1	2	211	297	244	541	33	406	43	10	251	56	-5	-1	—	—	+2	-0.4
2021	17	ROK MLE	DSL PIT Gold	—	88	75	14	1	0	1	8	25	3	0	1	187	291	240	531	53	260	28	9	239	48	—	—	—	—	—	—
2021	17	ROK RAW	DSL PIT Gold	—	88	71	17	2	0	1	12	18	3	0	1	239	372	310	682	70	302	20	14	317	48	—	—	—	—	—	—
2022	18	ROK MLE	DSL PIT Black	—	109	91	23	7	0	3	16	17	1	3	3	253	370	429	799	176	278	16	15	335	113	—	—	—	—	—	—
2022	18	ROK RAW	DSL PIT Black	—	109	82	25	8	0	3	25	12	1	3	3	305	472	512	984	207	324	11	23	435	113	—	—	—	—	—	—
2023	19	ROK MLE	FCL Pirates	—	103	80	17	2	0	4	19	35	2	0	1	212	376	388	764	175	302	34	18	333	112	—	—	—	—	—	—
2023	19	ROK RAW	FCL Pirates	—	103	69	20	3	0	4	30	23	2	0	1	290	515	507	1.022	217	364	22	29	450	112	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	169	148	27	6	0	1	19	77	1	1	2	182	280	243	523	61	371	46	11	238	47	—	—	—	—	—	—
2024	20	ROK RAW	2 teams	—	169	140	38	9	0	1	27	54	1	1	2	271	393	357	750	86	435	32	16	346	47	—	—	—	—	—	—
2021	17	ROK MLE	DSL PIT Gold	—	88	77	14	1	0	1	8	25	3	0	1	182	291	234	524	52	251	28	9	239	48	—	—	—	—	—	—
2022	18	ROK MLE	DSL PIT Black	—	109	91	23	7	0	3	16	17	1	3	3	253	370	429	799	176	260	16	15	335	113	—	—	—	—	—	—
2023	19	ROK MLE	FCL Pirates	—	103	81	17	2	0	4	19	35	2	0	1	210	376	383	759	173	290	34	18	333	112	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	169	147	27	6	0	1	19	77	1	1	2	184	280	245	525	61	360	46	11	238	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	FCL Pirates	—	103	81	17	2	0	4	19	35	2	0	1	210	376	383	759	173	290	34	18	333	112	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	169	147	27	6	0	1	19	77	1	1	2	184	280	245	525	61	360	46	11	238	47	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	PIT	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		288	33	11	264	65	-0	+0	+0	+0	+0	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	PIT	34%	155	139	29	5	1	3	14	47	1	2	1	209	286	324	609	115	290	30	9	274	72	-5	+0	+0	+3	+3	0.1
2028	24	MLB MLE	PIT	46%	275	246	52	9	1	6	24	82	3	3	1	211	289	329	619	118	291	30	9	281	77	-8	+0	+0	+5	+6	0.3
2029	25	MLB MLE	PIT	52%	351	314	68	12	2	8	31	103	3	4	1	217	293	344	637	127	291	29	9	286	80	-9	+0	+0	+6	+8	0.6
2030	26	MLB MLE	PIT	54%	402	359	78	14	2	9	36	117	4	5	2	217	296	343	638	125	291	29	9	288	81	-9	+0	+0	+7	+9	0.7
2031	27	MLB MLE	PIT	54%	427	381	83	15	2	10	39	125	4	5	2	218	297	346	644	129	291	29	9	288	81	-9	+0	+0	+8	+9	0.8
2032	28	MLB MLE	PIT	54%	439	392	84	15	2	10	40	129	4	5	2	214	294	339	633	125	290	29	9	287	81	-10	+0	-1	+8	+10	0.7
2033	29	MLB MLE	PIT	53%	439	392	84	15	2	10	40	130	4	4	2	214	294	339	633	125	290	30	9	285	79	-11	+0	-1	+8	+10	0.5
2034	30	MLB MLE	PIT	52%	435	388	82	15	2	9	40	129	4	4	1	211	292	330	622	119	288	30	9	283	77	-12	+0	-2	+8	+9	0.4
2035	31	MLB MLE	PIT	52%	412	367	77	14	2	8	38	124	4	3	1	210	291	324	615	114	286	30	9	279	75	-12	+0	-3	+7	+9	0.1
2036	32	MLB MLE	PIT	52%	385	344	71	12	2	8	35	117	3	3	1	206	285	323	608	116	282	30	9	273	71	-13	+0	-4	+7	+8	-0.1
2027	23	MLB CTX	PIT	34%	53	48	10	2	0	1	5	16	0	1	0	208	283	312	596	104	288	30	9	264	72	-2	+0	+0	+1	+1	0.1
2028	24	MLB CTX	PIT	46%	127	114	24	4	1	2	11	38	1	1	0	211	286	316	602	105	289	30	9	271	77	-4	+0	+0	+2	+3	0.2
2029	25	MLB CTX	PIT	52%	181	161	35	6	1	4	16	53	2	2	1	217	296	342	638	124	289	29	9	275	80	-4	+0	+0	+3	+4	0.3
2030	26	MLB CTX	PIT	54%	218	194	42	8	1	5	20	63	2	2	1	216	296	345	642	129	289	29	9	277	81	-5	+0	+0	+4	+5	0.4
2031	27	MLB CTX	PIT	54%	232	207	44	8	1	5	21	68	2	3	1	213	291	333	625	121	289	29	9	277	81	-5	+0	+0	+4	+5	0.4
2032	28	MLB CTX	PIT	54%	238	212	45	8	1	5	22	70	2	3	1	212	292	330	623	118	288	29	9	276	81	-5	+0	-0	+4	+5	0.4
2033	29	MLB CTX	PIT	53%	233	208	44	8	1	5	21	69	2	2	1	212	290	332	622	120	287	30	9	274	79	-6	+0	-1	+4	+5	0.3
2034	30	MLB CTX	PIT	52%	228	203	43	8	1	5	21	68	2	2	1	212	292	335	627	123	286	30	9	272	77	-6	+0	-1	+4	+5	0.2
2035	31	MLB CTX	PIT	52%	214	190	39	7	1	4	20	64	2	2	1	205	288	316	604	111	284	30	9	268	75	-6	+0	-1	+4	+5	0.1
2036	32	MLB CTX	PIT	52%	199	177	36	6	1	4	18	61	2	1	0	203	284	316	601	113	280	31	9	263	71	-7	+0	-2	+4	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1923	1714	362	65	9	40	175	570	17	19	7	211	291	330	620	118	289	30	9	272	78	-50	+1	-5	+34	+42	2.2
/ 162G	—	A+C		—	650	579	123	22	3	14	59	193	6	6	2	212	292	333	625	121	291	30	9	272	78	-17	+0	-2	+12	+14	0.7
Career	—	MLE		—	4198	3724	790	142	18	90	400	1260	41	42	21	212	296	332	628	120	292	30	10	283	78	-98	+2	-10	+67	+81	4.1
/ 162G	—	MLE		—	650	577	123	22	3	14	62	195	6	7	3	213	296	334	631	121	294	30	10	283	78	-17	+0	-2	+12	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#2Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#3Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	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
#5Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.1	2,030	43	20	213	289	333	+36	+24	3.8	3.5
/162	664	14	7	+11.9	+7.8	1.2	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
Miguel Sosa (OGILVIE)	22	—	—	—	—	199/277/295	95	288	2	1	32%	9%	65	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Narváez 2021 · A	22	47→45	38→45	48→45	46	219/291/300	81	314	5	6	30%	9%	70	-0.8	192/280/305	113	303	13	5	37%	10%	68	-1.0	212/295/344	132	286	15	6	29%	9%	81	-0.0
✕Pedro Pagés 2022 · A	23	43→45	43→50	42→40	42	211/278/315	104	301	11	4	32%	7%	69	-0.9	213/277/334	121	292	13	4	30%	7%	73	-0.6	227/286/364	137	285	17	2	26%	7%	81	-0.0
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Jakson Reetz 2018 · A	22	42→33	39→55	44→45	39	197/272/287	91	310	6	6	36%	7%	61	-1.5	202/279/314	112	287	12	5	32%	7%	70	-0.8	193/274/380	187	243	23	4	31%	7%	81	-0.0
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	204/268/326	123	280	11	10	30%	7%	68	-1.0	194/266/335	141	268	16	7	32%	8%	70	-0.9	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Luis Torrens 2017 · A	21	44→48	40→50	46→40	49	214/288/305	91	268	8	6	23%	8%	70	-0.8	217/270/311	94	272	7	3	22%	6%	65	-1.2	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Corey Joyce 2021 · A	22	44	40	50	39	211/267/307	95	311	8	8	33%	6%	63	-1.4	201/290/309	108	293	11	12	33%	9%	74	-0.6	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Jose Sibrian 2021 · A	22	43	38→50	49→30	39	204/261/283	79	291	5	6	30%	6%	55	-2.0	204/258/283	79	271	6	3	26%	5%	54	-2.0	202/260/295	93	255	9	0	24%	5%	55	-0.7
✕Pablo Aliendo 2023 · A	22	42	41→50	44→45	38	205/267/296	91	298	9	5	33%	6%	61	-1.5	198/264/334	136	299	16	5	37%	6%	69	-0.9	170/239/302	133	270	17	1	42%	5%	51	-1.0
✕Riley Adams 2019 · A	23	44→42	39→50	49→40	44	205/284/297	92	310	5	5	33%	8%	68	-1.0	211/300/341	130	322	13	5	35%	8%	84	+0.2	209/297/371	162	301	16	0	33%	8%	88	+0.2
✕Andrew Susac 2013 · A	23	42→38	43→50	45→30	45	204/279/315	111	288	11	4	31%	9%	70	-0.9	217/292/358	141	289	16	3	29%	9%	84	+0.2	217/296/371	154	282	18	1	28%	9%	86	+0.1
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Bryan Holaday 2011 · A	23	42	42→45	47→40	42	201/282/303	102	295	9	5	33%	8%	69	-0.9	209/262/295	86	270	7	6	24%	5%	58	-1.7	220/288/344	124	255	13	2	19%	7%	76	-0.1
✕Joe DeCarlo 2016 · A	22	36→38	42→50	44→30	43	178/268/281	103	279	10	3	37%	9%	59	-1.7	196/278/333	137	279	16	3	34%	8%	74	-0.5	193/274/341	148	264	18	1	32%	8%	71	-0.5
✕Jack Brannigan 2023 · A	22	42	43→50	48→50	43	204/282/312	108	305	11	13	34%	8%	70	-0.8	201/283/352	151	301	18	17	37%	9%	80	-0.1	184/270/336	152	267	19	18	36%	9%	69	-0.5
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Ramon Santana 2008 · A	22	43→52	43→45	48→45	45	211/291/328	116	288	10	7	29%	8%	78	-0.3	211/275/321	110	320	9	8	35%	6%	70	-0.9	209/272/316	108	318	8	4	34%	6%	64	-0.6
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	42	206/280/300	94	283	7	6	28%	6%	67	-1.1	205/276/339	134	277	16	4	31%	6%	74	-0.5	180/260/332	152	234	22	0	33%	7%	72	-0.3
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Óscar Hernández 2015 · A	22	41	44→50	41→40	39	206/251/323	117	265	11	4	27%	5%	60	-1.6	198/245/311	113	259	11	5	27%	5%	55	-1.9	162/212/257	95	207	10	1	27%	5%	28	-1.3

Career Stats + Projections

Career Comps

Career Path Comps