Carlos Rodríguez

Carlos RodríguezC FCL Orioles

Age 22 R/R 5'11" / 195 lbs ROK HR +9% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 52 proj PA

wRC+†50

AVG/OBP/SLG.191 / .259 / .262

PA4

HR0

K%33

BB%7

ISO71

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M 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	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.7M	+$0.0M

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 Orioles 1	—	53	47	13	6	0	0	3	14	2	1	2	277	346	404	750	128	382	26	6	332	111	+1	-1	—	—	+1	0.1
2022	18	ROK	FCL Orioles	—	77	56	12	2	0	2	17	18	2	1	0	214	413	357	770	143	263	23	22	355	126	+2	+0	—	—	+2	0.4
2023	19	ROK	FCL Orioles	—	79	63	14	1	0	1	13	25	2	2	0	222	372	286	658	63	342	32	16	313	98	-0	+0	—	—	+2	0.2
2024	20	ROK	FCL Orioles	—	74	65	22	5	0	0	8	19	0	1	1	338	411	415	826	77	468	26	11	370	137	+3	-0	—	—	+2	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Orioles 1	—	53	48	9	4	0	0	2	20	2	1	2	188	250	271	521	83	295	38	4	224	38	-4	-1	—	—	+1	-0.3
2022	18	ROK MLE	FCL Orioles	—	77	63	11	2	0	2	10	26	2	1	0	175	307	302	608	127	216	34	13	258	61	-4	+0	—	—	+2	-0.2
2023	19	ROK MLE	FCL Orioles	—	79	68	10	1	0	1	8	37	2	2	0	147	256	206	462	59	270	47	10	202	23	-7	+0	—	—	+2	-0.5
2024	20	ROK MLE	FCL Orioles	—	74	68	17	4	0	0	5	26	0	1	1	250	301	309	610	59	382	35	7	267	67	-3	-0	—	—	+2	-0.2
2021	17	ROK MLE	DSL Orioles 1	—	53	48	9	4	0	0	2	20	2	1	2	188	250	271	521	83	310	38	4	224	38	—	—	—	—	—	—
2021	17	ROK RAW	DSL Orioles 1	—	53	47	13	6	0	0	3	14	2	1	2	277	346	404	750	128	382	26	6	332	38	—	—	—	—	—	—
2022	18	ROK MLE	FCL Orioles	—	77	63	11	2	0	2	10	26	2	1	0	175	307	302	608	127	243	34	13	258	61	—	—	—	—	—	—
2022	18	ROK RAW	FCL Orioles	—	77	56	12	2	0	2	17	18	2	1	0	214	413	357	770	143	263	23	22	355	61	—	—	—	—	—	—
2023	19	ROK MLE	FCL Orioles	—	79	68	10	1	0	1	8	37	2	2	0	147	256	206	462	59	290	47	10	202	23	—	—	—	—	—	—
2023	19	ROK RAW	FCL Orioles	—	79	63	14	1	0	1	13	25	2	2	0	222	372	286	658	63	342	32	16	313	23	—	—	—	—	—	—
2024	20	ROK MLE	FCL Orioles	—	74	68	17	4	0	0	5	26	0	1	1	250	301	309	610	59	395	35	7	267	67	—	—	—	—	—	—
2024	20	ROK RAW	FCL Orioles	—	74	65	22	5	0	0	8	19	0	1	1	338	411	415	826	77	468	26	11	370	67	—	—	—	—	—	—
2021	17	ROK MLE	DSL Orioles 1	—	53	49	9	4	0	0	2	20	2	1	2	184	250	265	515	82	295	38	4	224	38	—	—	—	—	—	—
2022	18	ROK MLE	FCL Orioles	—	77	65	11	2	0	2	10	26	2	1	0	169	307	292	599	123	216	34	13	258	61	—	—	—	—	—	—
2023	19	ROK MLE	FCL Orioles	—	79	69	10	1	0	1	8	37	2	2	0	145	256	203	459	58	270	47	10	202	23	—	—	—	—	—	—
2024	20	ROK MLE	FCL Orioles	—	74	69	17	4	0	0	5	26	0	1	1	246	301	304	606	58	382	35	7	267	67	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	FCL Orioles	—	79	69	10	1	0	1	8	37	2	2	0	145	256	203	459	58	270	47	10	202	23	—	—	—	—	—	—
2024	20	ROK MLE	FCL Orioles	—	74	69	17	4	0	0	5	26	0	1	1	246	301	304	606	58	382	35	7	267	67	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	BAL	0%	4	4	1	0	0	0	0	1	0	0	0	250	250	250	500		290	25	0	242	50	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	BAL	34%	107	97	19	3	1	1	8	34	1	1	0	196	264	278	543	82	291	32	7	254	58	-5	+0	+0	+2	+2	-0.1
2028	24	MLB MLE	BAL	46%	237	215	44	8	1	3	18	74	2	3	1	205	272	293	565	88	292	31	8	262	63	-10	+0	+0	+4	+5	-0.1
2029	25	MLB MLE	BAL	52%	324	293	62	11	2	5	25	100	3	4	1	212	280	314	594	102	292	31	8	267	67	-13	+0	+0	+6	+7	0.0
2030	26	MLB MLE	BAL	54%	381	344	72	12	2	7	30	116	4	5	1	209	280	317	597	108	292	30	8	269	69	-14	+1	+0	+7	+8	0.1
2031	27	MLB MLE	BAL	54%	410	370	77	13	2	7	33	126	4	5	1	208	280	311	591	103	292	31	8	270	69	-15	+1	+0	+7	+9	0.1
2032	28	MLB MLE	BAL	54%	426	385	80	14	2	7	34	131	4	5	1	208	279	309	588	101	291	31	8	268	68	-16	+1	-1	+8	+9	0.0
2033	29	MLB MLE	BAL	53%	428	386	80	14	2	7	35	132	4	4	1	207	280	308	588	101	290	31	8	267	67	-17	+0	-1	+8	+9	-0.1
2034	30	MLB MLE	BAL	52%	426	384	79	13	2	7	35	133	4	4	1	206	279	305	584	99	289	31	8	264	65	-18	+0	-2	+8	+9	-0.3
2027	23	MLB CTX	BAL	34%	37	34	6	1	0	0	3	12	0	0	0	176	243	206	449	29	295	32	8	250	58	-2	+0	+0	+1	+1	-0.0
2028	24	MLB CTX	BAL	46%	109	99	22	4	1	2	8	34	1	1	0	222	287	343	630	121	296	31	7	258	63	-5	+0	+0	+2	+2	-0.0
2029	25	MLB CTX	BAL	52%	167	150	33	6	1	3	13	51	2	2	1	220	291	333	624	113	297	31	8	264	67	-7	+0	+0	+3	+4	-0.0
2030	26	MLB CTX	BAL	54%	207	187	40	7	1	4	16	63	2	2	1	214	283	326	609	112	296	30	8	266	69	-8	+0	+0	+4	+4	0.0
2031	27	MLB CTX	BAL	54%	222	200	42	7	1	4	18	68	2	3	1	210	282	315	597	105	296	31	8	266	69	-8	+0	+0	+4	+5	0.1
2032	28	MLB CTX	BAL	54%	231	208	44	8	1	4	19	71	2	3	1	212	284	317	601	106	296	31	8	265	68	-9	+0	-0	+4	+5	0.0
2033	29	MLB CTX	BAL	53%	227	205	43	7	1	4	18	70	2	2	1	210	280	312	592	102	295	31	8	263	67	-9	+0	-1	+4	+5	-0.1
2034	30	MLB CTX	BAL	52%	223	201	42	7	1	4	18	70	2	2	1	209	281	313	594	104	293	31	8	261	65	-9	+0	-1	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1423	1284	272	47	7	25	113	439	13	15	6	212	282	318	600	106	299	31	8	263	65	-57	+1	-2	+25	+31	-0.2
/ 162G	—	A+C		—	650	587	123	21	3	11	52	201	6	7	3	210	281	312	593	102	296	31	8	263	65	-26	+0	-1	+12	+14	-0.1
Career	—	MLE		—	3026	2725	561	99	14	47	243	956	32	36	10	206	279	304	583	98	295	32	8	264	65	-110	+3	-4	+49	+59	-0.2
/ 162G	—	MLE		—	650	585	120	21	3	10	52	205	7	8	2	205	278	303	581	97	294	32	8	264	65	-26	+1	-1	+12	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2Ronny 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
#3John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#4Adam 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
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.2	1,476	24	16	208	276	307	+26	+20	0.8	0.9
/162	664	11	7	+11.9	+9.0	0.4	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Carlos Rodríguez (OGILVIE)	22	—	—	—	—	191/259/262	71	290	0	1	33%	7%	50	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	174/222/255	81	277	7	4	39%	5%	34	-3.5	184/241/265	81	306	8	5	40%	6%	44	-2.8	141/191/216	75	260	9	0	47%	5%	11	-1.0
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Grayson Greiner 2016 · A	23	37	38→45	46→30	37	181/234/253	73	279	6	3	36%	6%	38	-3.2	211/265/312	101	293	9	3	29%	6%	63	-1.4	217/276/324	107	289	10	0	27%	7%	67	-0.6
✕David Masters 2015 · A	22	39→37	36→45	47→40	40	183/249/251	68	277	3	8	33%	7%	43	-2.8	179/238/250	71	242	6	4	27%	6%	38	-3.2	192/262/321	129	263	16	1	32%	7%	61	-0.6
✕Juan Zabala 2021 · A	22	40	39→40	48→50	37	189/252/274	85	300	6	6	37%	6%	50	-2.3	212/274/306	94	301	9	13	30%	7%	65	-1.2	206/268/289	83	286	8	16	29%	7%	56	-0.8
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	172/216/255	83	252	7	7	34%	5%	31	-3.7	189/226/284	95	266	6	9	30%	4%	41	-3.0	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕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
✕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
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Mikell Granberry 2018 · A	22	39	39→45	47→45	38	186/242/277	91	282	4	6	34%	6%	47	-2.6	215/284/323	108	302	8	7	29%	8%	73	-0.6	225/307/355	130	299	13	7	27%	10%	87	+0.1
✕Alejandro Torres 2012 · A	23	37	37→40	46→40	35	182/219/253	71	267	5	5	33%	4%	31	-3.7	206/261/282	76	313	5	6	33%	6%	54	-2.0	206/271/236	30	326	0	0	34%	7%	47	-0.4
✕Braulio Vasquez 2021 · A	22	41	39→40	44→65	38	195/256/276	80	309	6	7	37%	6%	51	-2.2	207/280/301	94	303	7	30	31%	7%	67	-1.1	200/278/292	91	290	6	42	30%	7%	62	-0.6
✕Willy Diaz 2016 · A	22	39	38→40	43→40	46	187/275/268	81	281	6	3	33%	9%	58	-1.7	189/257/267	78	337	4	5	41%	7%	50	-2.3	169/224/243	75	318	2	4	44%	5%	29	-1.2
✕Pablo Aliendo 2022 · A	21	39	39→50	44→45	37	186/262/264	78	301	7	6	38%	6%	52	-2.2	204/269/325	121	300	13	5	35%	6%	68	-1.0	197/266/334	137	285	16	5	35%	7%	66	-0.6
✕Justin Twine 2018 · A	22	36→32	37→40	47→50	31	177/217/248	70	278	4	7	37%	3%	30	-3.8	212/252/296	84	302	6	10	30%	4%	53	-2.1	214/250/302	88	318	6	14	33%	3%	53	-1.2
✕Brandon Lewis 2021 · A	22	42→35	39→50	49→30	41	203/264/289	86	290	7	6	31%	6%	57	-1.8	197/250/365	168	291	23	3	39%	6%	71	-0.8	177/231/332	154	254	22	1	39%	5%	54	-1.4
✕Frank Rodriguez 2023 · A	21	40	40→45	48→30	38	195/255/282	87	294	7	4	35%	6%	53	-2.1	178/234/262	84	256	7	3	32%	6%	40	-3.0	183/244/267	84	244	9	1	28%	6%	43	-0.9
✕Fabian Pertuz 2023 · A	22	37→34	40	49→55	33	186/229/277	91	285	8	9	37%	4%	41	-3.0	175/226/265	90	273	8	12	37%	5%	38	-3.2	148/203/228	80	231	8	13	38%	5%	19	-2.4
✕J.C. Millan 2018 · A	22	40	37→40	45→30	36	194/235/270	76	278	4	8	31%	4%	41	-3.0	218/265/312	94	270	8	6	22%	6%	63	-1.4	223/270/312	90	261	9	4	18%	6%	61	-0.6
✕Brendon Davis 2019 · A	22	41→43	39→50	43→50	39	197/256/284	87	304	7	5	36%	7%	53	-2.1	200/261/303	103	296	10	6	34%	7%	60	-1.6	194/266/353	159	252	19	9	30%	7%	71	-0.6

Career Stats + Projections

Career Comps

Career Path Comps