Carlos Altuve — OGILVIE

Carlos AltuveC DSL Cubs Blue

Age 21 R/R 5'11" / 192 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 66 proj PA

wRC+†59

AVG/OBP/SLG.203 / .271 / .282

PA5

HR0

K%29

BB%7

ISO81

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M 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	+0.4	$0.9M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$1M	—	—	—
2037	Arb-3	$7M	—	—	—
Totals		$3M		$3M	+$1M

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)
2022	17	ROK	DSL Cubs Red	—	69	64	19	2	0	0	4	11	1	0	1	297	348	328	676	31	358	16	6	311	97	-0	-0	—	—	+1	0.1
2023	18	ROK	DSL Cubs Blue	—	113	97	21	1	0	1	12	29	3	4	1	216	321	258	579	41	294	26	11	276	73	-4	+0	—	—	+2	-0.1
2024	19	ROK	DSL Cubs Blue	—	124	100	21	2	2	1	19	24	4	5	2	210	358	300	658	90	263	19	15	311	97	-1	+0	—	—	+3	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Cubs Red	—	69	66	14	1	0	0	2	17	1	0	1	212	246	227	474	15	298	25	3	226	39	-5	-0	—	—	+1	-0.4
2023	18	ROK MLE	DSL Cubs Blue	—	113	102	16	1	0	1	7	42	3	4	1	157	232	196	428	39	233	37	6	187	13	-12	+0	—	—	+2	-0.9
2024	19	ROK MLE	DSL Cubs Blue	—	124	107	16	1	1	1	12	35	4	5	2	150	260	206	466	56	215	28	10	225	38	-9	+0	—	—	+3	-0.6
2022	17	ROK MLE	DSL Cubs Red	—	69	66	14	1	0	0	2	17	1	0	1	212	246	227	474	15	286	25	3	226	39	—	—	—	—	—	—
2022	17	ROK RAW	DSL Cubs Red	—	69	64	19	2	0	0	4	11	1	0	1	297	348	328	676	31	358	16	6	311	39	—	—	—	—	—	—
2023	18	ROK MLE	DSL Cubs Blue	—	113	102	16	1	0	1	7	42	3	4	1	157	232	196	428	39	250	37	6	187	13	—	—	—	—	—	—
2023	18	ROK RAW	DSL Cubs Blue	—	113	97	21	1	0	1	12	29	3	4	1	216	321	258	579	41	294	26	11	276	13	—	—	—	—	—	—
2024	19	ROK MLE	DSL Cubs Blue	—	124	107	16	1	1	1	12	35	4	5	2	150	260	206	466	56	208	28	10	225	38	—	—	—	—	—	—
2024	19	ROK RAW	DSL Cubs Blue	—	124	100	21	2	2	1	19	24	4	5	2	210	358	300	658	90	263	19	15	311	38	—	—	—	—	—	—
2022	17	ROK MLE	DSL Cubs Red	—	69	66	14	1	0	0	2	17	1	0	1	212	246	227	474	15	298	25	3	226	39	—	—	—	—	—	—
2023	18	ROK MLE	DSL Cubs Blue	—	113	102	16	1	0	1	7	42	3	4	1	157	232	196	428	39	233	37	6	187	13	—	—	—	—	—	—
2024	19	ROK MLE	DSL Cubs Blue	—	124	107	16	1	1	1	12	35	4	5	2	150	260	206	466	56	215	28	10	225	38	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Cubs Blue	—	113	102	16	1	0	1	7	42	3	4	1	157	232	196	428	39	233	37	6	187	13	—	—	—	—	—	—
2024	19	ROK MLE	DSL Cubs Blue	—	124	107	16	1	1	1	12	35	4	5	2	150	260	206	466	56	215	28	10	225	38	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	CHC	0%	5	5	1	0	0	0	0	1	0	0	0	200	200	200	400		286	20	0	256	59	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	CHC	34%	117	105	22	3	1	2	9	33	2	2	0	210	284	314	599	105	288	28	8	268	67	-5	+0	+0	+2	+3	0.0
2028	23	MLB MLE	CHC	48%	252	228	50	8	2	4	19	70	3	4	1	219	288	325	613	105	289	28	8	276	73	-8	+0	+0	+4	+5	0.2
2029	24	MLB MLE	CHC	53%	351	316	71	11	3	7	27	96	5	5	1	225	296	345	641	120	290	27	8	281	76	-10	+1	+0	+6	+8	0.5
2030	25	MLB MLE	CHC	55%	411	371	82	13	3	8	32	112	5	6	2	221	292	337	629	116	291	27	8	284	79	-10	+0	+0	+7	+9	0.6
2031	26	MLB MLE	CHC	56%	448	404	89	14	3	9	35	122	6	7	2	220	292	337	629	116	291	27	8	286	80	-11	+1	+0	+8	+10	0.8
2032	27	MLB MLE	CHC	55%	466	420	93	14	3	10	37	127	6	7	2	221	294	340	634	119	290	27	8	286	80	-11	+1	+0	+8	+10	0.8
2033	28	MLB MLE	CHC	55%	474	427	93	14	3	10	38	130	6	7	2	218	291	335	626	117	290	27	8	285	79	-12	+1	-1	+8	+10	0.7
2034	29	MLB MLE	CHC	53%	472	425	92	14	3	9	38	131	6	6	2	216	290	327	617	111	289	28	8	283	78	-13	+0	-1	+8	+10	0.5
2035	30	MLB MLE	CHC	53%	466	419	91	14	3	9	38	130	6	5	1	217	292	329	621	112	288	28	8	280	76	-13	+1	-2	+8	+10	0.3
2036	31	MLB MLE	CHC	52%	441	397	85	13	3	8	35	124	6	5	1	214	288	322	610	108	285	28	8	276	73	-14	+1	-3	+8	+10	0.1
2037	32	MLB MLE	CHC	52%	413	372	77	11	3	7	33	118	5	3	1	207	280	309	590	102	282	29	8	271	69	-15	+0	-4	+7	+9	-0.2
2027	22	MLB CTX	CHC	34%	40	36	8	1	0	1	3	11	1	1	0	222	300	333	633	111	291	28	8	259	67	-2	+0	+0	+1	+1	0.0
2028	23	MLB CTX	CHC	48%	122	110	24	4	1	2	9	34	2	2	0	218	289	327	617	109	292	28	7	267	73	-4	+0	+0	+2	+3	0.1
2029	24	MLB CTX	CHC	53%	185	167	37	6	2	3	14	51	2	3	1	222	290	335	625	114	293	28	8	273	76	-5	+0	+0	+3	+4	0.2
2030	25	MLB CTX	CHC	55%	225	203	45	7	2	4	17	61	3	3	1	222	291	335	626	113	293	27	8	276	79	-6	+0	+0	+4	+5	0.3
2031	26	MLB CTX	CHC	56%	249	225	50	8	2	5	19	68	3	4	1	222	291	342	634	120	293	27	8	277	80	-6	+0	+0	+4	+5	0.4
2032	27	MLB CTX	CHC	55%	256	231	51	8	2	5	20	70	3	4	1	221	291	338	629	117	293	27	8	277	80	-6	+0	+0	+5	+6	0.4
2033	28	MLB CTX	CHC	55%	259	233	51	8	2	5	21	71	3	4	1	219	292	335	627	116	292	27	8	276	79	-7	+0	-0	+5	+6	0.4
2034	29	MLB CTX	CHC	53%	252	227	50	8	2	5	20	70	3	3	1	220	292	339	631	119	291	28	8	274	78	-7	+0	-1	+4	+5	0.3
2035	30	MLB CTX	CHC	53%	245	220	48	7	2	5	20	68	3	3	1	218	292	336	629	118	290	28	8	271	76	-7	+0	-1	+4	+5	0.2
2036	31	MLB CTX	CHC	52%	230	207	45	7	2	4	18	65	3	2	1	217	289	329	618	111	287	28	8	267	73	-7	+0	-1	+4	+5	0.0
2037	32	MLB CTX	CHC	52%	214	192	41	6	2	4	17	61	3	2	0	214	288	328	616	115	284	29	8	262	69	-8	+0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2277	2051	450	70	19	43	178	630	29	31	8	219	291	335	626	116	293	28	8	272	73	-64	+3	-6	+41	+49	2.4
/ 162G	—	A+C		—	650	585	128	20	5	12	51	180	8	9	2	219	290	332	622	113	293	28	8	272	73	-18	+1	-2	+12	+14	0.7
Career	—	MLE		—	4622	4164	892	132	31	85	362	1288	64	66	19	214	287	322	609	108	287	28	8	276	73	-123	+5	-10	+77	+94	4.3
/ 162G	—	MLE		—	650	586	126	19	4	12	51	181	9	9	3	215	288	323	610	108	288	28	8	276	73	-19	+1	-2	+12	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#2Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#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 7 projected seasons	3.5	2,343	45	31	218	287	331	+42	+28	4.1	3.8
/162	664	13	9	+11.9	+7.9	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
Carlos Altuve (OGILVIE)	21	—	—	—	—	203/271/282	80	286	1	1	29%	7%	59	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jorge Quiterio 2015 · A	20	36	40→45	46→45	39	183/234/269	86	255	8	8	31%	5%	41	-3.0	194/235/279	85	299	6	9	35%	5%	43	-2.8	177/200/259	83	273	6	12	37%	2%	24	-1.1
✕Jalen Miller 2018 · A	21	38→43	39→45	47→50	38	188/229/275	87	254	6	7	28%	4%	40	-3.0	202/246/312	110	267	11	12	28%	5%	55	-1.9	180/240/294	114	233	12	18	28%	7%	47	-1.7
✕Emilio King 2011 · A	21	37	36→45	45→40	37	178/245/248	70	273	3	6	34%	5%	42	-2.9	214/256/307	93	316	7	4	33%	4%	58	-1.7	250/279/366	116	337	11	3	28%	2%	76	-0.3
✕Jesus Lopez 2018 · A	21	40	38→50	49→40	38	195/233/273	78	269	5	7	29%	5%	41	-3.0	206/249/325	119	254	13	6	24%	5%	60	-1.6	185/225/313	128	214	16	2	22%	4%	45	-1.4
✕Rubel Cespedes 2022 · A	21	34→44	39→45	49→40	36	170/224/255	85	264	7	6	37%	6%	34	-3.5	213/264/317	104	303	10	4	31%	6%	64	-1.3	217/269/325	108	297	11	3	29%	6%	64	-0.9
✕Pedruin Bautista 2006 · A	22	39	38→40	50→60	33	192/225/272	80	283	4	10	33%	4%	38	-3.2	197/277/272	75	275	3	17	27%	8%	59	-1.7	190/288/262	72	257	2	25	24%	10%	60	-0.6
✕Leandro Pineda 2023 · A	21	36→46	39→45	47→45	42	172/250/266	94	272	5	6	36%	8%	48	-2.5	200/267/315	115	279	11	6	30%	7%	65	-1.2	210/283/339	129	268	13	5	26%	7%	74	-0.4
✕Luis Verdugo 2022 · A	21	36→46	40	48→45	34	182/221/271	90	276	7	6	36%	4%	36	-3.3	205/258/295	90	273	7	5	26%	6%	56	-1.9	208/262/289	81	267	6	4	23%	6%	55	-1.3
✕Brandon Barnes 2008 · A	22	38→48	38→55	46→50	37	184/235/263	80	274	5	7	34%	5%	40	-3.0	201/240/316	115	298	11	6	35%	4%	54	-2.0	243/288/366	124	328	11	16	28%	5%	82	+0.0
✕Phillip Evans 2014 · A	21	39→49	37→45	45→40	44	188/237/255	67	235	4	5	22%	6%	38	-3.2	214/262/291	77	267	5	3	21%	6%	56	-1.9	215/291/340	125	253	14	3	20%	8%	77	-0.2
✕James Harris 2014 · A	20	36→46	36→40	46→50	42	175/238/243	68	248	3	10	29%	6%	37	-3.3	209/269/298	89	302	7	12	31%	7%	61	-1.5	221/283/309	88	314	7	14	30%	7%	66	-0.8
✕Johnni Turbo 2009 · A	20	37→47	37→40	54→55	36	184/222/257	73	263	4	13	31%	4%	33	-3.6	211/247/290	79	307	4	16	31%	4%	50	-2.3	254/283/341	87	306	5	19	18%	3%	73	-0.4
✕Jose Ramirez 2010 · A	21	39	38→40	46→50	43	188/249/265	77	248	5	10	25%	6%	47	-2.6	211/278/295	84	273	7	11	24%	7%	65	-1.2	214/288/286	72	266	9	15	22%	7%	63	-0.5
✕Michael Almanzar 2011 · A	20	39→49	38→45	46→45	36	191/230/270	79	266	6	4	30%	4%	39	-3.1	207/245/303	96	273	9	6	27%	4%	53	-2.1	236/281/360	125	289	13	8	23%	4%	78	-0.2
✕Ricardo Rosario 2023 · A	20	40	37→40	50→55	42	192/252/267	75	262	4	12	27%	6%	48	-2.5	202/274/290	88	285	7	19	30%	8%	61	-1.5	196/282/285	89	259	11	29	27%	9%	63	-0.8
✕Ramon Novas 2009 · A	21	41	40	48→50	38	204/244/290	86	279	8	7	29%	5%	49	-2.4	195/238/271	76	279	4	6	30%	5%	42	-2.9	152/182/212	59	218	0	4	29%	2%	5	-1.2
✕Drew Stankiewicz 2015 · A	22	39→49	37→45	51→45	38	191/237/261	70	280	5	9	33%	6%	40	-3.1	223/279/306	83	288	4	7	22%	7%	66	-1.1	228/288/316	88	292	5	5	22%	7%	69	-0.5
✕Rigoberto Rangel 2011 · A	22	40	37→45	48→40	40	192/252/263	71	277	4	6	31%	6%	47	-2.6	196/258/268	72	296	4	8	33%	7%	50	-2.3	156/229/203	46	231	3	10	31%	7%	22	-1.0
✕Jose Paniagua 2015 · A	21	38	40→50	50→55	42	189/249/288	99	268	7	12	31%	7%	52	-2.2	198/248/295	97	288	8	8	32%	6%	53	-2.1	179/215/276	97	256	10	2	33%	3%	32	-1.0
✕Narciso Crook 2016 · A	21	37→43	42→50	53→50	32	188/220/289	102	281	9	12	36%	4%	40	-3.1	199/245/307	108	298	10	10	35%	5%	54	-2.0	206/268/351	145	302	15	14	35%	6%	70	-0.6

Career Stats + Projections

Career Comps

Career Path Comps