Alexander Camacaro

Alexander CamacaroSS DSL Giants Black

Age 18 R/R 5'9" / 150 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION176 act + 16 ros · stats below = ROS only

showingROS

wRC+†62

AVG/OBP/SLG.200 / .250 / .267

PA16

HR0

K%31

BB%6

BABIP280

ISO67

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$19M ctrl surplus

Tools · ContractCON 31 / POW 39

Toolsscout grade

CONTACT31

scouting grade only

POWER39

scouting grade only

EYE64

scouting grade only

SPEED60

scouting grade only

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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2035	Arb-1	$3M	+0.6	$1M	+$0.1M
2036	Arb-2	$5M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$6M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$7M	+$3M

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.

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)
2025	17	ROK	DSL Giants Orange	—	58	45	6	1	0	0	12	14	1	0	1	133	328	156	483	22	194	24	21	257	60	-3	-0	—	—	+1	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Giants Orange	—	58	49	5	1	0	0	8	21	1	0	1	102	241	122	364	20	158	36	14	174	4	-7	-0	—	—	+1	-0.6
2025	17	ROK MLE	DSL Giants Orange	—	58	49	5	1	0	0	8	21	1	0	1	102	241	122	364	20	179	36	14	174	4	—	—	—	—	—	—
2025	17	ROK RAW	DSL Giants Orange	—	58	45	6	1	0	0	12	14	1	0	1	133	328	156	483	22	194	24	21	257	4	—	—	—	—	—	—
2025	17	ROK MLE	DSL Giants Orange	—	58	49	5	1	0	0	8	21	1	0	1	102	241	122	364	20	158	36	14	174	4	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Giants Orange	—	58	49	5	1	0	0	8	21	1	0	1	102	241	122	364	20	158	36	14	174	4	—	—	—	—	—	—
YTD	18	ROK MLE	SF	—	176	156	33	6	0	2	18	59	0	16	5	212	293	288	582	77	323	34	10	266	66	-7	+1	+0	+2	+4	-0.0
▸ 2026 season
YTD	18	ROK RAW	SF	—	176	145	42	9	0	3	29	41	0	16	5	290	408	414	822	124	382	23	16	370	66	—	—	—	—	—	—
ROS	18	ROK MLE	SF	0%	16	15	3	1	0	0	1	5	0	1	0	200	250	267	517	67	285	31	6	259	62	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	SF	—	192	171	36	7	0	2	19	64	0	17	5	211	289	287	576	76	321	33	10	265	66	-8	+1	+0	+2	+4	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	SF	34%	229	204	43	8	1	3	21	66	2	6	2	211	291	304	595	93	288	29	9	272	70	-8	+0	+0	+2	+5	-0.0
2028	20	MLB MLE	SF	48%	359	319	67	12	1	6	34	102	3	9	2	210	292	310	602	100	290	28	9	280	76	-10	+1	+0	+4	+8	0.2
2029	21	MLB MLE	SF	54%	456	406	88	16	2	8	43	127	4	11	3	217	298	325	623	108	291	28	9	285	79	-11	+1	+0	+5	+10	0.5
2030	22	MLB MLE	SF	57%	524	465	102	19	2	10	49	144	5	13	3	219	301	333	634	114	292	27	9	289	81	-12	+1	+0	+6	+11	0.7
2031	23	MLB MLE	SF	58%	569	504	111	20	2	11	54	156	6	14	4	220	303	333	637	113	293	27	9	290	83	-12	+1	+0	+6	+12	0.8
2032	24	MLB MLE	SF	57%	599	531	117	21	2	12	57	164	6	15	4	220	303	335	638	115	294	27	10	292	84	-12	+1	+0	+6	+13	0.9
2033	25	MLB MLE	SF	57%	616	547	121	22	2	13	58	168	6	15	4	221	303	340	643	119	294	27	9	292	84	-12	+1	+0	+7	+13	1.0
2034	26	MLB MLE	SF	57%	623	553	122	22	2	13	59	170	6	15	4	221	303	338	641	118	293	27	9	292	84	-12	+1	+0	+7	+13	1.0
2035	27	MLB MLE	SF	55%	624	553	122	22	2	13	60	171	6	15	4	221	304	338	642	118	293	27	10	293	84	-12	+1	+0	+7	+14	1.0
2036	28	MLB MLE	SF	59%	619	548	121	22	2	13	60	170	6	15	4	221	305	339	644	119	293	27	10	292	84	-12	+1	-1	+7	+13	0.9
2037	29	MLB MLE	SF	61%	609	539	118	21	2	12	59	169	6	14	4	219	303	332	635	113	292	28	10	290	82	-13	+1	-1	+7	+13	0.7
2038	30	MLB MLE	SF	62%	599	529	115	21	2	11	59	167	6	14	3	217	303	327	630	110	291	28	10	287	81	-14	+2	-2	+6	+13	0.5
2039	31	MLB MLE	SF	63%	584	516	111	20	2	11	57	165	6	13	3	215	301	326	626	110	289	28	10	284	78	-15	+1	-3	+6	+13	0.2
2040	32	MLB MLE	SF	64%	566	501	106	19	2	10	55	162	5	12	3	212	296	317	613	106	286	29	10	278	75	-17	+1	-4	+6	+12	-0.1
2027	19	MLB CTX	SF	34%	79	71	14	3	0	1	7	23	1	2	1	197	278	282	560	85	283	29	9	261	70	-3	+0	+0	+1	+2	-0.0
2028	20	MLB CTX	SF	48%	174	154	33	6	1	3	16	49	2	4	1	214	297	325	621	110	285	28	9	268	76	-5	+0	+0	+2	+4	0.1
2029	21	MLB CTX	SF	54%	247	220	46	8	1	4	23	69	2	6	2	209	290	309	599	100	286	28	9	272	79	-6	+0	+0	+3	+5	0.2
2030	22	MLB CTX	SF	57%	297	264	56	10	1	5	28	82	3	7	2	212	295	314	609	102	286	28	9	275	81	-7	+1	+0	+3	+6	0.4
2031	23	MLB CTX	SF	58%	328	291	62	11	1	6	31	90	3	8	2	213	295	320	615	107	287	27	9	277	83	-7	+1	+0	+4	+7	0.5
2032	24	MLB CTX	SF	57%	341	303	65	12	1	6	32	93	3	8	2	215	296	320	616	106	288	27	9	278	84	-7	+1	+0	+4	+7	0.5
2033	25	MLB CTX	SF	57%	349	309	67	12	1	7	33	95	4	9	2	217	301	330	631	113	288	27	9	279	84	-7	+1	+0	+4	+8	0.6
2034	26	MLB CTX	SF	57%	353	312	68	12	1	7	34	96	4	9	2	218	303	330	633	112	288	27	10	279	84	-7	+1	+0	+4	+8	0.6
2035	27	MLB CTX	SF	55%	346	306	66	12	1	7	33	95	4	9	2	216	300	330	630	114	288	27	10	279	84	-7	+1	+0	+4	+7	0.6
2036	28	MLB CTX	SF	59%	366	323	70	13	1	7	36	101	4	9	2	217	303	328	631	111	287	28	10	278	84	-7	+1	-0	+4	+8	0.5
2037	29	MLB CTX	SF	61%	371	328	71	13	1	7	36	103	4	9	2	216	302	326	628	110	287	28	10	277	82	-8	+1	-1	+4	+8	0.4
2038	30	MLB CTX	SF	62%	373	330	71	13	1	7	36	104	4	8	2	215	300	324	624	109	286	28	10	274	81	-9	+1	-1	+4	+8	0.3
2039	31	MLB CTX	SF	63%	369	326	68	12	1	6	36	104	4	8	2	209	295	307	602	98	284	28	10	271	78	-10	+1	-2	+4	+8	0.1
2040	32	MLB CTX	SF	64%	361	320	66	12	1	6	35	103	3	8	2	206	291	306	597	100	281	29	10	266	75	-11	+1	-2	+4	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4354	3857	823	149	13	79	416	1207	45	104	26	213	297	320	618	107	287	28	10	275	80	-98	+10	-7	+47	+94	4.8
/ 162G	—	A+C		—	650	576	123	22	2	12	62	180	7	16	4	214	298	321	619	108	287	28	10	275	80	-15	+2	-1	+7	+14	0.7
Career	—	MLE		—	7650	6779	1472	267	26	146	734	2127	74	182	48	217	301	329	629	112	292	28	10	287	80	-172	+18	-10	+81	+164	8.3
/ 162G	—	MLE		—	650	576	125	23	2	12	62	181	6	15	4	217	299	326	626	109	293	28	10	287	80	-15	+2	-1	+7	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Cliff 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
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.7	4,443	85	106	219	299	333	+48	+27	7.6	6.4
/162	664	13	16	+7.1	+4.0	1.1	pk7: 5
#5Ronny 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
#6Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5

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
Alexander Camacaro (OGILVIE)	18	26→31	34→39	55→60	64	199/278/280	81	285	1	4	30%	9%	62	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dennys Riera 2023 · A	18	35	39→40	50	36	173/231/260	87	272	7	6	37%	6%	38	-3.2	172/242/246	74	249	5	6	31%	6%	40	-3.0	183/266/258	74	252	5	7	27%	5%	53	-0.5
✕Francisco Acuna 2018 · A	18	39→48	37→45	55→50	55	183/284/257	74	242	4	15	24%	11%	59	-1.6	194/267/263	69	267	3	9	26%	8%	53	-2.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Yeremy Cabrera 2023 · A	18	37→42	38→45	53→60	48	181/263/263	82	240	5	13	26%	8%	52	-2.2	207/289/321	114	272	11	17	26%	9%	75	-0.5	202/287/312	110	269	12	24	27%	8%	70	-0.5
✕Yordany De Los Santos 2023 · A	18	42→40	36→45	51→60	46	196/275/269	73	281	3	13	29%	8%	57	-1.8	201/270/288	87	311	7	23	35%	7%	60	-1.6	204/257/327	123	302	13	35	35%	6%	61	-1.1
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Enmanuel Tejeda 2023 · A	18	45→37	40	52→60	57	212/316/313	100	269	5	12	21%	12%	83	+0.1	225/310/312	87	311	7	23	27%	10%	80	-0.1	226/313/303	78	310	7	32	27%	10%	77	-0.1
✕Rafael Herrera 2019 · A	18	43	35→40	52→50	45	200/267/266	67	269	2	12	25%	7%	53	-2.1	218/286/298	80	291	4	12	24%	8%	68	-1.0	229/304/310	81	297	4	17	22%	9%	74	-0.2
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Robert Gonzalez 2019 · A	18	37	40→45	51→60	42	173/271/261	88	302	7	6	41%	9%	55	-1.9	193/299/288	95	289	6	11	32%	11%	72	-0.7	181/305/266	86	250	6	20	26%	12%	68	-0.4
✕Ronaldo Urdaneta 2017 · A	18	37	35→40	51→60	40	176/238/231	55	271	2	17	34%	7%	34	-3.5	204/268/282	78	293	5	21	30%	8%	57	-1.8	193/264/273	80	285	7	32	32%	8%	52	-0.7
✕Aroon Escobar 2023 · A	18	42→45	39→45	47→55	48	202/296/282	81	254	6	12	22%	8%	70	-0.9	210/296/305	95	253	9	16	20%	9%	74	-0.5	215/297/320	105	260	12	19	21%	8%	77	-0.2
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Jorge Mateo 2013 · A	18	44→48	40→50	51→65	48	211/282/302	91	281	6	10	26%	9%	67	-1.1	211/270/308	97	287	7	34	27%	7%	64	-1.3	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Yordalin Peña 2023 · A	18	41→38	40→55	56→55	37	198/247/291	93	281	6	10	31%	5%	51	-2.2	189/248/281	92	276	6	12	32%	6%	49	-2.4	184/245/315	131	287	12	17	38%	6%	55	-1.1
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5
✕Jean Selmo 2018 · A	18	39	39→45	53→45	38	185/246/275	89	296	6	8	38%	7%	48	-2.5	197/260/287	90	318	5	8	36%	7%	55	-1.9	215/289/325	110	304	4	8	28%	9%	72	-0.3
✕Marco Guzman 2013 · A	18	37	35→45	47→50	47	176/257/242	66	244	2	8	26%	8%	45	-2.7	198/263/278	80	251	4	7	22%	8%	55	-2.0	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Luis Torrens 2014 · A	18	42→48	36→50	49→40	45	196/262/257	61	277	3	5	29%	8%	49	-2.4	204/277/280	76	276	6	5	26%	8%	61	-1.5	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Jose Astudillo 2022 · A	18	43	37→45	52→55	46	204/259/278	73	249	3	9	19%	6%	53	-2.1	228/282/303	75	268	3	15	15%	6%	67	-1.1	286/329/371	85	315	6	22	11%	5%	96	+0.4
✕Luis Palacios 2007 · A	18	43	37→40	50	47	203/279/272	70	286	4	13	29%	8%	59	-1.6	204/261/283	79	271	5	7	25%	6%	55	-2.0	192/241/268	76	252	6	4	25%	5%	42	-1.0

Career Stats + Projections

Career Comps

Career Path Comps