AJ Salgado — OGILVIE

AJ Salgado3B St. Lucie Mets

Age 24 L/R 6'3" / 220 lbs A H -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION235 act + 23 ros · stats below = ROS only

showingROS

wRC+†66

AVG/OBP/SLG.238 / .304 / .429

PA23

HR0

K%30

BB%9

BABIP261

ISO190

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 28 / POW 43

Toolsscout grade

CONTACT28

scouting grade only

POWER43

scouting grade only

EYE50

scouting grade only

SPEED53

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.8M	+$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.

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	23	A	St. Lucie Mets	—	85	72	19	5	0	1	10	19	1	6	1	264	361	375	736	111	333	22	12	329	109	+1	+1	—	—	+2	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	23	A MLE	St. Lucie Mets	—	85	74	17	5	0	1	8	25	1	6	1	230	313	338	651	108	318	29	9	294	85	-2	+1	—	—	+2	0.1
2025	23	A MLE	St. Lucie Mets	—	85	74	17	5	0	1	8	25	1	6	1	230	313	338	651	108	320	29	9	294	85	—	—	—	—	—	—
2025	23	A RAW	St. Lucie Mets	—	85	72	19	5	0	1	10	19	1	6	1	264	361	375	736	111	333	22	12	329	85	—	—	—	—	—	—
2025	23	A MLE	St. Lucie Mets	—	85	76	17	5	0	1	8	25	1	6	1	224	313	329	642	105	318	29	9	294	85	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	23	A MLE	St. Lucie Mets	—	85	76	17	5	0	1	8	25	1	6	1	224	313	329	642	105	318	29	9	294	85	—	—	—	—	—	—
YTD	24	A MLE	NYM	—	235	210	39	6	2	6	19	81	4	9	3	186	266	319	585	133	264	34	8	267	67	-9	+1	+0	+1	+5	-0.3
▸ 2026 season
YTD	24	A RAW	NYM	—	235	203	48	7	3	8	26	57	4	9	3	236	335	419	753	182	286	24	11	335	67	—	—	—	—	—	—
ROS	24	A MLE	NYM	0%	23	21	5	1	0	1	2	7	0	1	0	238	304	429	733	190	268	30	9	266	66	-1	+0	+0	+0	+0	-0.0
TOT	24	A MLE	NYM	—	258	231	44	7	2	7	21	88	4	10	3	190	270	329	599	139	268	34	8	267	67	-10	+1	+0	+1	+6	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	NYM	30%	228	205	41	7	2	5	18	69	3	5	1	200	274	327	601	127	272	30	8	274	72	-8	+1	+0	+1	+5	-0.1
2028	26	MLB MLE	NYM	44%	308	276	57	10	2	8	25	92	4	6	2	207	282	344	626	138	274	30	8	278	75	-9	+0	+0	+1	+7	-0.1
2029	27	MLB MLE	NYM	49%	348	312	65	12	2	9	29	103	4	7	2	208	284	346	630	138	275	30	8	281	76	-10	+1	+0	+1	+8	-0.0
2030	28	MLB MLE	NYM	51%	372	333	68	12	2	9	31	109	5	7	2	204	282	333	615	129	274	29	8	281	76	-11	+1	-1	+1	+8	-0.1
2031	29	MLB MLE	NYM	51%	380	340	69	12	2	9	32	113	5	7	2	203	281	329	611	126	273	30	8	279	75	-11	+1	-1	+1	+8	-0.3
2032	30	MLB MLE	NYM	51%	383	343	69	12	2	9	32	114	5	6	2	201	279	327	605	125	272	30	8	276	73	-12	+0	-2	+1	+8	-0.4
2027	25	MLB CTX	NYM	30%	69	62	12	2	0	2	6	21	1	1	0	194	275	323	598	129	265	30	9	261	72	-2	+0	+0	+0	+1	-0.0
2028	26	MLB CTX	NYM	44%	136	122	24	4	1	3	11	40	2	3	1	197	274	320	594	123	267	29	8	265	75	-4	+0	+0	+0	+3	-0.0
2029	27	MLB CTX	NYM	49%	170	152	30	5	1	4	14	50	2	3	1	197	274	322	596	125	267	29	8	267	76	-5	+0	+0	+1	+4	-0.0
2030	28	MLB CTX	NYM	51%	192	172	35	6	1	5	16	56	2	4	1	203	279	337	616	134	267	29	8	267	76	-5	+0	-0	+1	+4	-0.1
2031	29	MLB CTX	NYM	51%	196	176	35	6	1	5	16	58	2	3	1	199	273	330	603	131	266	30	8	265	75	-6	+0	-1	+1	+4	-0.1
2032	30	MLB CTX	NYM	51%	197	176	35	6	1	5	17	59	2	3	1	199	277	330	606	131	265	30	9	263	73	-6	+0	-1	+1	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	960	860	171	29	5	24	80	284	11	17	5	199	275	328	603	129	264	30	8	265	75	-29	+1	-2	+3	+21	-0.6
/ 162G	—	A+C		—	650	582	116	20	3	16	54	192	7	12	3	199	275	326	601	127	265	30	8	265	75	-20	+1	-1	+2	+14	-0.4
Career	—	MLE		—	2127	1904	391	71	12	51	177	632	27	45	12	205	282	336	618	130	276	30	8	279	75	-62	+3	-4	+7	+44	-1.1
/ 162G	—	MLE		—	650	582	121	22	4	16	54	193	8	14	4	208	284	342	626	134	279	30	8	279	75	-20	+1	-1	+2	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#2Adam 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
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Ryan 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
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.6	1,092	26	20	205	278	336	+4	+2	0.1	0.2
/162	664	16	12	+2.4	+1.2	0.1	pk7: 0
#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
AJ Salgado (OGILVIE)	24	28	43	53	50	193/267/314	121	268	3	4	31%	8%	66	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕River Town 2023 · A	24	40→38	45→40	55→50	46	202/283/328	125	257	12	15	26%	8%	75	-0.5	216/303/308	92	269	8	14	21%	9%	78	-0.3	215/312/285	70	264	6	15	19%	9%	74	-0.3
✕Jackson Cluff 2021 · A	24	40→30	42→45	51→60	40	198/263/305	106	283	9	12	32%	6%	61	-1.5	183/253/275	92	279	7	13	35%	7%	51	-2.2	179/271/301	122	264	12	28	34%	10%	62	-0.8
✕Brian O'Grady 2016 · A	24	39→38	43→55	54→50	48	196/273/312	116	263	10	14	28%	9%	67	-1.1	193/273/316	123	270	11	13	31%	9%	68	-1.0	208/271/384	177	275	20	15	31%	7%	81	-0.0
✕Jacob Wetzel 2023 · A	23	39→34	44→45	49→50	45	195/276/305	110	270	12	10	31%	8%	67	-1.1	191/265/303	112	284	10	13	34%	8%	61	-1.5	178/252/295	117	273	8	16	35%	8%	53	-1.1
✕Chris Meyers 2023 · A	24	42→45	44→50	51→40	43	210/272/331	121	280	12	9	28%	7%	70	-0.8	225/283/368	143	295	17	5	29%	6%	83	+0.1	222/283/366	144	287	17	3	28%	6%	80	-0.1
✕Cam Gibson 2018 · A	24	38→41	45	54→55	42	195/252/320	125	262	11	15	30%	7%	60	-1.6	200/264/305	105	277	9	19	29%	7%	61	-1.5	191/261/284	93	266	7	22	29%	7%	53	-1.6
✕Jonny Butler 2023 · A	24	43→33	40→50	53→55	43	205/266/301	96	298	7	10	32%	8%	61	-1.5	190/261/305	115	269	10	17	31%	8%	61	-1.5	172/251/288	116	240	10	18	31%	8%	50	-1.2
✕Tanner Allen 2022 · A	24	40	42→45	44→45	43	200/253/300	100	251	9	7	24%	6%	56	-1.9	203/258/301	98	251	9	7	22%	6%	58	-1.7	200/259/296	96	246	9	7	22%	6%	54	-1.0
✕Mike Antico 2022 · A	24	43	49→45	55→60	41	220/274/371	151	282	16	13	28%	6%	80	-0.1	209/274/330	121	282	12	36	29%	7%	71	-0.8	217/280/331	115	292	12	35	28%	7%	70	-0.7
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Christopher Familia 2023 · A	23	40	46→55	47→45	45	203/281/331	128	258	14	8	26%	8%	74	-0.5	219/278/387	168	291	21	4	31%	6%	86	+0.3	217/271/408	191	280	27	0	32%	5%	84	+0.1
✕Matthew Acosta 2022 · A	24	45	43→45	53→50	47	217/290/334	118	298	10	9	29%	9%	78	-0.3	205/272/314	109	298	10	13	32%	8%	67	-1.1	179/250/276	97	261	10	16	34%	8%	48	-1.5
✕Carter Williams 2022 · A	24	42	45	49→45	37	215/248/344	130	283	12	9	29%	4%	63	-1.3	226/273/352	126	296	14	9	28%	5%	75	-0.5	225/274/345	121	290	15	9	27%	5%	74	-0.3
✕David Sheaffer 2019 · A	24	36	42→50	52→40	39	184/231/287	103	246	10	7	29%	5%	44	-2.8	211/256/331	120	295	12	5	31%	5%	64	-1.3	193/238/303	110	272	11	1	33%	5%	49	-0.7
✕Chris Epps 2013 · A	24	42→38	48→50	48→45	42	210/274/354	143	299	16	9	34%	8%	76	-0.4	200/274/341	141	295	15	9	35%	9%	74	-0.6	190/272/341	151	280	15	7	35%	10%	72	-0.6
✕Jose Brizuela 2016 · A	23	42→39	44→50	50→45	45	207/273/328	121	277	11	7	28%	8%	70	-0.8	210/268/335	125	296	14	5	32%	7%	70	-0.9	191/245/320	130	262	17	1	34%	6%	56	-0.8
✕Anthony Seigler 2023 · A	24	41→39	42→45	46→55	56	196/304/308	112	272	9	11	28%	13%	78	-0.3	197/295/308	111	251	10	20	24%	12%	75	-0.5	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Alerick Soularie 2023 · A	24	39	44→45	53→60	44	192/273/305	114	293	11	16	36%	9%	65	-1.2	199/280/310	111	290	12	26	33%	9%	70	-0.9	181/272/285	104	255	13	39	32%	9%	60	-0.6
✕Oliver Dunn 2022 · AA	24	39→46	44→45	53→55	46	189/273/305	116	294	11	14	37%	10%	65	-1.2	219/303/367	148	341	14	14	36%	10%	91	+0.6	202/286/331	129	310	11	20	35%	9%	73	-0.4
✕Devin Foyle 2021 · A	24	42→39	40→45	48→45	45	200/277/295	94	297	8	12	33%	9%	64	-1.3	211/279/330	119	274	12	8	26%	8%	73	-0.6	202/274/322	119	256	12	6	25%	8%	67	-0.6

Career Stats + Projections

Career Comps

Career Path Comps