Juan Macero — OGILVIE

Juan MaceroSS DSL LAD Mega

Age 18 R/R 5'9" / 165 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION154 act + 16 ros · stats below = ROS only

showingROS

wRC+†58

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

PA16

HR0

K%25

BB%6

BABIP269

ISO67

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$24M ctrl surplus

Tools · ContractCON 50 / POW 20

Toolsscout grade

CONTACT50

scouting grade only

POWER20

scouting grade only

EYE45

scouting grade only

SPEED50

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	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.7	$1M	+$0.1M
2036	Arb-2	$5M	+0.7	$1M	+$0.0M (cut)
2037	Arb-3	$6M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$8M	+$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 LAD Bautista	—	202	165	46	8	0	1	25	21	6	10	4	279	393	345	738	67	306	10	12	335	113	+3	+0	—	—	+4	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL LAD Bautista	—	202	175	38	6	0	1	15	30	6	10	4	217	301	269	570	51	237	15	7	250	55	-11	+0	—	—	+4	-0.6
2025	17	ROK MLE	DSL LAD Bautista	—	202	175	38	6	0	1	15	30	6	10	4	217	301	269	570	51	250	15	7	250	55	—	—	—	—	—	—
2025	17	ROK RAW	DSL LAD Bautista	—	202	165	46	8	0	1	25	21	6	10	4	279	393	345	738	67	306	10	12	335	55	—	—	—	—	—	—
2025	17	ROK MLE	DSL LAD Bautista	—	202	179	38	6	0	1	15	30	6	10	4	212	301	263	564	50	237	15	7	250	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL LAD Bautista	—	202	179	38	6	0	1	15	30	6	10	4	212	301	263	564	50	237	15	7	250	55	—	—	—	—	—	—
YTD	18	ROK MLE	LAD	—	154	136	24	5	0	0	14	37	3	9	2	176	268	213	481	37	240	24	9	223	37	-12	+1	+0	+2	+3	-0.6
▸ 2026 season
YTD	18	ROK RAW	LAD	—	154	127	31	7	0	0	23	26	3	9	2	244	373	299	672	55	304	17	15	318	37	—	—	—	—	—	—
ROS	18	ROK MLE	LAD	0%	16	15	3	1	0	0	1	4	0	0	0	200	250	267	517	67	273	25	6	254	58	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	LAD	—	170	151	27	6	0	0	15	41	3	9	2	179	266	219	485	40	243	24	9	226	39	-12	+1	+0	+2	+4	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	LAD	34%	254	228	48	9	1	2	20	60	4	5	1	211	286	285	571	75	277	24	8	268	68	-10	+1	+0	+3	+6	-0.1
2028	20	MLB MLE	LAD	48%	380	340	75	14	2	5	31	89	6	7	2	221	297	318	615	97	280	23	8	279	75	-11	+1	+0	+4	+8	0.1
2029	21	MLB MLE	LAD	54%	474	425	94	17	2	7	39	110	7	9	2	221	297	320	617	99	282	23	8	285	79	-12	+1	+0	+5	+10	0.5
2030	22	MLB MLE	LAD	57%	540	482	109	20	2	9	45	124	8	10	2	226	303	332	635	106	283	23	8	290	82	-11	+1	+0	+6	+12	0.7
2031	23	MLB MLE	LAD	58%	585	522	119	22	3	10	49	133	9	11	3	228	305	339	644	111	284	23	8	292	84	-11	+1	+0	+6	+13	0.9
2032	24	MLB MLE	LAD	57%	614	547	126	23	3	11	52	139	10	12	3	230	309	344	652	113	285	23	8	294	85	-11	+1	+0	+7	+13	1.1
2033	25	MLB MLE	LAD	57%	626	558	129	23	3	12	53	142	10	12	3	231	309	348	657	116	285	23	8	295	86	-10	+1	+0	+7	+14	1.1
2034	26	MLB MLE	LAD	60%	634	565	131	24	3	12	54	144	10	12	3	232	310	349	659	117	284	23	9	296	86	-10	+1	+0	+7	+14	1.2
2035	27	MLB MLE	LAD	62%	634	565	129	23	3	12	54	144	10	12	3	228	307	343	650	115	284	23	9	296	87	-10	+1	+0	+7	+14	1.2
2036	28	MLB MLE	LAD	63%	629	560	128	23	3	12	54	144	10	12	3	229	308	345	652	116	284	23	9	295	86	-11	+1	-1	+7	+14	1.1
2037	29	MLB MLE	LAD	65%	619	550	126	23	3	11	54	143	10	11	3	229	309	342	651	113	283	23	9	293	85	-11	+1	-1	+7	+13	0.9
2038	30	MLB MLE	LAD	65%	609	541	122	22	2	11	53	142	10	11	3	226	306	335	641	109	283	23	9	291	83	-12	+1	-2	+7	+13	0.6
2039	31	MLB MLE	LAD	65%	594	528	117	21	2	10	52	140	9	10	2	222	302	326	628	104	281	24	9	287	80	-14	+1	-3	+6	+13	0.4
2040	32	MLB MLE	LAD	65%	576	512	112	20	2	9	50	138	9	9	2	219	299	318	618	100	278	24	9	282	77	-16	+1	-4	+6	+12	0.0
2041	33	MLB MLE	LAD	65%	546	486	104	18	2	8	47	134	8	8	2	214	294	309	603	95	274	25	9	275	72	-18	+1	-4	+6	+12	-0.4
2027	19	MLB CTX	LAD	34%	87	79	16	3	0	1	7	21	1	2	0	203	276	278	554	76	273	24	8	255	68	-3	+0	+0	+1	+2	-0.0
2028	20	MLB CTX	LAD	48%	184	164	36	6	1	3	15	43	3	4	1	220	297	323	620	104	276	23	8	265	75	-6	+0	+0	+2	+4	0.1
2029	21	MLB CTX	LAD	54%	257	230	51	9	1	4	21	59	4	5	1	222	298	322	620	100	278	23	8	272	79	-6	+1	+0	+3	+6	0.3
2030	22	MLB CTX	LAD	57%	306	273	61	11	1	5	25	70	5	6	1	223	300	326	626	103	279	23	8	276	82	-6	+1	+0	+3	+7	0.4
2031	23	MLB CTX	LAD	58%	337	301	67	12	1	6	28	77	5	6	2	223	299	329	628	106	280	23	8	279	84	-6	+0	+0	+4	+7	0.5
2032	24	MLB CTX	LAD	57%	350	312	71	13	1	7	29	79	6	7	2	228	305	343	648	115	280	23	8	281	85	-6	+1	+0	+4	+8	0.6
2033	25	MLB CTX	LAD	57%	355	316	72	13	1	7	30	80	6	7	2	228	307	342	649	114	280	23	8	282	86	-6	+1	+0	+4	+8	0.6
2034	26	MLB CTX	LAD	60%	383	342	78	14	1	8	32	87	6	7	2	228	305	345	650	117	280	23	8	282	86	-6	+1	+0	+4	+8	0.7
2035	27	MLB CTX	LAD	62%	394	351	79	14	1	8	34	89	6	7	2	225	304	339	643	114	280	23	9	283	87	-6	+1	+0	+4	+9	0.7
2036	28	MLB CTX	LAD	63%	398	355	80	14	1	8	34	91	6	7	2	225	304	338	642	113	280	23	9	282	86	-7	+1	-0	+4	+9	0.7
2037	29	MLB CTX	LAD	65%	402	358	80	14	1	8	35	93	6	7	2	223	303	335	638	112	279	23	9	280	85	-7	+1	-1	+4	+9	0.6
2038	30	MLB CTX	LAD	65%	396	352	78	14	1	7	35	92	6	7	2	222	303	327	630	105	279	23	9	278	83	-8	+1	-1	+4	+9	0.4
2039	31	MLB CTX	LAD	65%	386	343	75	13	1	7	34	91	6	6	2	219	300	324	624	105	277	24	9	274	80	-9	+0	-2	+4	+8	0.2
2040	32	MLB CTX	LAD	65%	374	333	72	13	1	6	32	90	6	6	1	216	296	315	612	99	274	24	9	269	77	-10	+1	-2	+4	+8	0.0
2041	33	MLB CTX	LAD	65%	355	316	66	11	1	5	31	87	5	5	1	209	290	297	587	89	270	25	9	263	72	-12	+1	-3	+4	+8	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4964	4425	982	174	14	90	422	1149	77	89	23	222	301	329	629	107	278	23	9	276	81	-105	+9	-10	+53	+108	5.6
/ 162G	—	A+C		—	650	579	129	23	2	12	55	150	10	12	3	223	301	332	632	109	279	23	8	276	81	-14	+1	-1	+7	+14	0.7
Career	—	MLE		—	8532	7599	1710	309	36	142	723	1960	136	161	41	225	304	331	635	106	283	23	8	288	81	-179	+15	-15	+89	+180	9.3
/ 162G	—	MLE		—	650	579	131	24	3	11	55	149	10	12	3	226	304	335	639	109	284	23	8	288	81	-14	+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
#4Adeiny 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
#5Gordon 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 10 projected seasons	7.7	5,136	87	93	226	301	333	+55	+30	9.2	7.7
/162	664	11	12	+7.1	+3.9	1.2	pk7: 6
#6Ronny 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

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
Juan Macero (OGILVIE)	18	50	20	50	45	204/278/268	63	273	1	5	24%	8%	58	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕Luis De La Cruz 2007 · A	18	46	35→30	49→30	42	216/270/279	63	299	3	10	27%	6%	57	-1.8	201/241/267	66	262	3	7	23%	5%	42	-2.9	245/267/324	79	295	3	3	18%	3%	62	-0.4
✕Luis Reynoso 2013 · A	18	46	36→30	47→50	47	218/281/289	71	285	3	9	24%	8%	63	-1.3	197/254/259	62	297	4	7	32%	7%	47	-2.6	177/232/219	42	282	3	5	36%	6%	27	-1.1
✕Mikey Edie 2016 · A	19	48	35→30	49→50	42	224/295/281	56	296	3	13	24%	5%	68	-1.0	212/267/270	58	314	2	15	31%	4%	54	-2.0	183/233/236	53	275	2	10	32%	3%	30	-1.5
✕Jerry Puentes 2009 · A	18	48	34→30	49→50	46	222/273/276	54	274	2	9	19%	6%	57	-1.8	224/277/275	51	292	1	10	22%	6%	58	-1.7	219/272/260	41	292	0	10	23%	6%	50	-0.7
✕Rafael P Valera 2013 · A	18	43	35→30	48→55	46	201/273/256	55	281	2	11	27%	8%	53	-2.1	207/290/260	53	271	1	14	22%	9%	61	-1.5	216/289/281	65	299	0	7	25%	8%	62	-0.4
✕Shaydron Buckridge 2007 · A	19	46	35→30	48→50	45	214/275/271	58	272	3	5	22%	6%	57	-1.8	219/291/274	55	280	2	7	21%	7%	65	-1.2	259/340/295	36	306	0	9	14%	9%	84	+0.1
✕Manuel Falcon 2008 · A	18	43	35→30	49→50	41	200/260/254	54	286	2	8	29%	6%	48	-2.5	227/283/274	47	287	1	10	20%	6%	61	-1.5	240/298/272	32	295	0	11	17%	6%	65	-0.5
✕Francisco Aponte 2009 · A	18	43	36→30	49→60	46	205/268/268	64	265	4	9	23%	7%	54	-2.0	230/305/289	59	291	2	17	20%	8%	73	-0.6	224/288/270	46	274	0	22	17%	8%	61	-0.6
✕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
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3
✕Edwin Fuentes 2013 · A	18	46	34→30	48→50	51	212/291/268	55	278	2	11	23%	9%	63	-1.4	182/238/236	54	237	2	8	22%	6%	35	-3.4	147/195/183	37	186	1	7	21%	4%	6	-1.7
✕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
✕Starlin Paulino 2018 · A	18	45	36→30	50	43	211/262/282	71	275	3	10	24%	6%	55	-2.0	192/257/267	75	258	4	7	26%	6%	50	-2.3	123/201/174	52	174	3	2	30%	6%	7	-1.2
✕Jose Curpa 2018 · A	18	45	35→30	46→55	45	206/282/270	63	277	1	11	24%	7%	60	-1.6	209/282/265	56	283	1	24	24%	7%	59	-1.6	176/269/227	51	270	1	32	31%	9%	44	-0.8
✕Rusbel Farinez 2011 · A	19	47	35→30	47→55	47	219/274/285	67	267	2	8	18%	6%	59	-1.6	218/280/277	59	257	1	12	14%	7%	60	-1.6	216/281/264	48	251	0	15	13%	6%	56	-0.9
✕Fidel Mejia 2017 · A	18	49	34→30	46→40	43	227/275/281	55	303	1	11	25%	6%	59	-1.7	214/261/276	62	295	3	6	26%	6%	53	-2.1	203/249/261	58	282	3	2	28%	5%	42	-1.0
✕Jenner Emeterio 2013 · A	20	45	38→30	48→60	46	214/278/297	83	284	5	13	26%	8%	64	-1.3	217/304/278	61	289	3	24	23%	10%	70	-0.8	216/317/260	44	285	1	34	22%	12%	69	-0.4
✕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

Career Stats + Projections

Career Comps

Career Path Comps