Carlos Salazar — OGILVIE

Carlos SalazarSS DSL Tampa Bay

Age 18 R/R 5'10" / 165 lbs ROK HR +6%H +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION175 act + 17 ros · stats below = ROS only

showingROS

wRC+†61

AVG/OBP/SLG.188 / .235 / .250

PA17

HR0

K%24

BB%6

BABIP280

ISO62

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$16M ctrl surplus

Tools · ContractCON 49 / POW 35

Toolsscout grade

CONTACT49

scouting grade only

POWER35

scouting grade only

EYE57

scouting grade only

SPEED54

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

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 Rays	—	74	56	12	3	0	0	13	14	3	0	3	214	389	268	657	54	279	19	18	314	99	-0	-1	—	—	+2	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rays	—	74	61	10	2	0	0	8	20	3	0	3	164	292	197	488	33	235	27	11	235	45	-5	-1	—	—	+2	-0.5
2025	17	ROK MLE	DSL Rays	—	74	61	10	2	0	0	8	20	3	0	3	164	292	197	488	33	238	27	11	235	45	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rays	—	74	56	12	3	0	0	13	14	3	0	3	214	389	268	657	54	279	19	18	314	45	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rays	—	74	63	10	2	0	0	8	20	3	0	3	159	292	190	482	32	235	27	11	235	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Rays	—	74	63	10	2	0	0	8	20	3	0	3	159	292	190	482	32	235	27	11	235	45	—	—	—	—	—	—
YTD	18	ROK MLE	TB	—	175	148	28	4	0	1	14	43	4	9	4	189	277	236	514	47	248	25	8	228	40	-12	+0	+0	+2	+4	-0.7
▸ 2026 season
YTD	18	ROK RAW	TB	—	175	140	34	6	0	1	22	30	4	9	4	243	361	307	669	64	289	17	13	300	40	—	—	—	—	—	—
ROS	18	ROK MLE	TB	0%	17	16	3	1	0	0	1	4	0	0	0	188	235	250	485	62	273	24	6	259	61	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	TB	—	192	164	31	5	0	1	15	47	4	9	4	189	273	238	511	49	248	24	8	231	42	-13	+0	+0	+2	+4	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	TB	34%	229	206	45	8	1	3	18	56	3	5	2	218	291	311	601	92	277	24	8	270	69	-8	+0	+0	+2	+5	-0.1
2028	20	MLB MLE	TB	48%	360	322	70	12	2	5	29	87	6	7	3	217	294	314	608	96	280	24	8	279	75	-11	+0	+0	+4	+8	0.1
2029	21	MLB MLE	TB	54%	456	408	91	16	2	8	38	109	7	10	3	223	300	331	631	108	281	24	8	285	79	-12	+1	+0	+5	+10	0.4
2030	22	MLB MLE	TB	57%	524	467	104	18	2	9	43	124	9	11	4	223	301	328	628	105	283	24	8	288	81	-12	+1	+0	+6	+11	0.6
2031	23	MLB MLE	TB	58%	569	508	114	20	2	10	47	134	9	12	4	224	301	331	632	106	283	24	8	290	83	-12	+1	+0	+6	+12	0.8
2032	24	MLB MLE	TB	57%	599	534	121	21	3	11	50	141	10	13	4	227	305	339	644	112	284	24	8	292	84	-12	+1	+0	+6	+13	0.9
2033	25	MLB MLE	TB	57%	616	549	126	22	3	12	52	144	10	13	4	230	308	346	654	117	284	23	8	293	84	-11	+1	+0	+7	+13	1.0
2034	26	MLB MLE	TB	57%	623	556	127	22	3	12	52	146	10	13	5	228	306	344	649	115	284	23	8	293	85	-11	+1	+0	+7	+13	1.0
2035	27	MLB MLE	TB	55%	624	556	127	22	3	12	53	147	10	13	5	228	307	344	650	115	284	24	8	293	85	-11	+1	+0	+7	+14	1.0
2036	28	MLB MLE	TB	55%	619	551	126	22	3	12	53	146	10	13	4	229	308	345	653	116	284	24	9	292	84	-12	+1	-1	+7	+13	0.9
2037	29	MLB MLE	TB	58%	609	541	121	21	2	11	53	145	10	12	4	224	305	331	636	107	283	24	9	291	83	-12	+1	-1	+7	+13	0.7
2038	30	MLB MLE	TB	60%	599	532	118	20	2	11	52	144	10	12	4	222	303	329	632	107	282	24	9	288	81	-13	+1	-2	+6	+13	0.5
2039	31	MLB MLE	TB	62%	584	519	113	19	2	10	50	142	10	11	4	218	299	320	619	102	280	24	9	284	79	-15	+1	-3	+6	+13	0.2
2040	32	MLB MLE	TB	63%	566	503	108	18	2	9	49	140	9	10	4	215	296	312	608	97	277	25	9	279	75	-17	+0	-4	+6	+12	-0.2
2027	19	MLB CTX	TB	34%	79	72	15	3	0	1	6	19	1	2	1	208	278	292	570	83	285	24	8	265	69	-3	+0	+0	+1	+2	-0.0
2028	20	MLB CTX	TB	48%	174	155	35	6	1	3	14	42	3	4	1	226	302	335	638	110	288	24	8	273	75	-5	+0	+0	+2	+4	0.1
2029	21	MLB CTX	TB	54%	247	221	50	9	1	4	20	59	4	5	2	226	302	330	632	104	290	24	8	279	79	-6	+0	+0	+3	+5	0.2
2030	22	MLB CTX	TB	57%	297	265	60	11	1	5	25	70	5	6	2	226	305	332	637	106	291	24	8	283	81	-7	+0	+0	+3	+6	0.3
2031	23	MLB CTX	TB	58%	328	293	68	12	2	6	27	77	5	7	2	232	308	348	656	116	292	23	8	285	83	-7	+1	+0	+4	+7	0.5
2032	24	MLB CTX	TB	57%	341	304	72	13	2	7	28	80	6	7	2	237	314	362	675	125	292	23	8	287	84	-7	+1	+0	+4	+7	0.5
2033	25	MLB CTX	TB	57%	349	311	73	13	2	7	29	82	6	7	3	235	312	357	669	122	292	23	8	287	84	-7	+0	+0	+4	+8	0.5
2034	26	MLB CTX	TB	57%	353	314	74	13	2	7	30	83	6	8	3	236	314	357	671	121	292	24	8	288	85	-6	+0	+0	+4	+8	0.5
2035	27	MLB CTX	TB	55%	346	308	73	13	2	7	29	81	6	7	3	237	315	360	675	123	292	23	8	288	85	-6	+0	+0	+4	+7	0.5
2036	28	MLB CTX	TB	55%	340	302	71	12	2	7	29	80	6	7	2	235	315	358	672	123	292	24	9	287	84	-6	+1	-0	+4	+7	0.5
2037	29	MLB CTX	TB	58%	354	314	74	13	2	7	31	84	6	7	2	236	316	357	673	121	291	24	9	285	83	-7	+1	-1	+4	+8	0.4
2038	30	MLB CTX	TB	60%	361	321	73	13	1	7	31	87	6	7	2	227	307	340	647	112	290	24	9	283	81	-8	+1	-1	+4	+8	0.3
2039	31	MLB CTX	TB	62%	361	321	72	13	1	6	31	88	6	7	2	224	304	327	632	103	288	24	9	279	79	-9	+1	-2	+4	+8	0.1
2040	32	MLB CTX	TB	63%	355	315	70	12	1	6	31	88	6	6	2	222	304	324	628	102	285	25	9	273	75	-11	+0	-2	+4	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4285	3816	880	156	20	80	361	1020	72	87	29	231	309	345	654	114	292	24	8	283	81	-95	+6	-6	+46	+93	4.4
/ 162G	—	A+C		—	650	579	134	24	3	12	55	155	11	13	4	231	310	345	656	114	294	24	8	283	81	-14	+1	-1	+7	+14	0.7
Career	—	MLE		—	7668	6829	1524	264	32	135	648	1829	126	155	57	223	302	331	633	107	283	24	8	288	81	-170	+9	-10	+81	+165	7.6
/ 162G	—	MLE		—	650	579	129	22	3	11	55	155	11	13	5	223	302	328	630	105	284	24	8	288	81	-15	+1	-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	6.6	4,383	77	89	225	300	332	+47	+27	7.4	6.2
/162	664	12	14	+7.1	+4.1	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
Carlos Salazar (OGILVIE)	18	44→49	30→35	49→54	57	204/280/275	71	273	1	3	25%	8%	61	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Sterling Guzman 2016 · A	18	47	37→40	52→45	47	220/283/299	79	285	4	8	23%	7%	66	-1.1	208/271/299	91	293	7	7	29%	7%	62	-1.4	155/215/251	96	213	12	2	33%	6%	28	-0.9
✕Dubal Baez 2011 · A	18	46	36→30	50→60	46	214/289/282	68	300	4	7	28%	8%	65	-1.2	214/302/264	50	297	2	18	26%	8%	68	-1.0	217/309/247	30	304	0	28	25%	8%	63	-0.4
✕Jose Monserrate 2023 · A	18	47	38→40	50	45	221/288/307	86	288	5	13	24%	7%	71	-0.8	215/291/282	67	299	3	21	26%	8%	66	-1.1	187/271/231	44	298	1	34	34%	9%	45	-0.6
✕Carlos Arroyo 2019 · A	18	50	35→30	50	51	231/310/281	51	284	3	13	19%	8%	74	-0.6	221/279/288	67	257	4	15	15%	6%	63	-1.4	183/236/245	62	242	4	19	25%	4%	36	-1.1
✕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
✕Ryan Burrowes 2023 · A	18	44→45	39→40	55→60	46	209/291/296	87	283	6	13	26%	8%	70	-0.8	190/254/255	65	320	4	20	39%	6%	47	-2.6	197/269/273	76	310	7	32	36%	7%	54	-1.5
✕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
✕Ricardo Cova 2022 · A	18	44→50	38→45	47→55	45	210/277/286	76	271	6	9	24%	6%	62	-1.4	207/267/292	85	318	6	15	35%	6%	59	-1.6	229/275/344	115	283	10	21	22%	5%	72	-0.5
✕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
✕Oswald Peraza 2018 · A	18	45→52	35→45	53→60	44	210/279/276	66	274	1	11	22%	6%	60	-1.6	208/269/272	64	283	4	15	26%	6%	55	-1.9	225/284/355	130	284	16	30	26%	6%	77	-0.3
✕Samuel Gil 2023 · A	18	43→44	38→30	52→50	45	203/269/290	87	274	5	9	26%	7%	59	-1.6	208/284/274	66	286	3	8	26%	9%	61	-1.5	200/288/251	51	271	2	9	24%	10%	56	-1.0
✕Deiber Olivera 2012 · A	19	44	38→40	50→45	44	210/259/296	86	269	4	8	23%	6%	56	-1.9	236/277/312	76	275	3	7	15%	4%	67	-1.1	255/291/322	67	289	2	7	12%	3%	73	-0.2
✕Darell Hernaiz 2021 · A	19	45→55	39→45	52→50	44	211/276/297	86	310	7	9	32%	8%	63	-1.3	236/282/327	91	298	8	17	23%	5%	72	-0.7	253/310/346	93	295	7	12	16%	7%	85	+0.2
✕Jorge Caballero 2018 · A	18	44	37→40	49→45	47	210/286/284	74	263	4	10	21%	7%	65	-1.2	216/286/282	66	325	3	7	31%	8%	64	-1.3	226/304/293	67	365	5	5	36%	9%	71	-0.4
✕Jonathan Galvez 2009 · A	18	45→48	39→45	51→55	53	209/310/290	81	290	7	9	27%	11%	76	-0.4	212/285/327	115	307	10	14	32%	8%	74	-0.5	235/283/350	115	329	10	23	30%	5%	76	-0.3
✕Mikey Edie 2015 · A	18	48	37→30	47→50	45	227/308/301	74	283	5	13	20%	6%	78	-0.3	214/275/269	55	304	2	15	29%	5%	57	-1.8	194/246/238	44	286	1	12	31%	3%	36	-1.2
✕Hidekel Abreu 2016 · A	18	42	36→40	49→50	45	199/266/263	64	280	3	8	28%	8%	52	-2.2	223/284/304	81	293	5	10	24%	7%	68	-1.0	237/299/317	80	300	6	12	21%	8%	72	-0.3
✕Isiah Kiner-Falefa 2014 · A	19	50→56	34→40	50→55	44	234/282/287	53	301	2	14	22%	6%	62	-1.4	236/287/279	43	295	1	9	19%	5%	63	-1.4	262/305/349	88	305	7	19	16%	5%	84	+0.1
✕Samad Taylor 2017 · A	19	45→54	38→45	50→65	42	214/266/292	78	290	4	10	27%	6%	58	-1.7	192/258/286	94	273	6	18	30%	7%	55	-2.0	235/311/365	130	323	13	46	29%	9%	92	+0.4

Career Stats + Projections

Career Comps

Career Path Comps