Maikol Orozco — OGILVIE

Maikol OrozcoSS FCL Tigers

Age 20 R/R 5'11" / 175 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION167 act + 16 ros · stats below = ROS only

showingROS

wRC+†66

AVG/OBP/SLG.133 / .188 / .133

PA16

HR0

K%31

BB%6

BABIP286

ISO98

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$20M ctrl surplus

Tools · ContractCON 34 / POW 39

Toolsscout grade

CONTACT34

scouting grade only

POWER39

scouting grade only

EYE54

scouting grade only

SPEED53

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	+0.5	$1M	+$0.7M
2035	Arb-1	$2M	+0.4	$0.8M	+$0.0M
2036	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$5M	+$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)
2023	17	ROK	DSL Tigers 1	—	167	133	34	4	1	2	23	29	8	9	3	256	396	346	742	90	305	17	14	343	118	+4	+1	—	—	+4	0.8
2024	18	ROK	DSL Tigers 1	—	187	146	44	8	1	2	31	32	9	13	8	301	452	411	863	110	372	17	17	397	155	+12	-1	—	—	+4	1.6
2025	19	ROK	FCL Tigers	—	132	106	24	6	2	2	17	37	6	2	1	226	364	377	742	151	314	28	13	334	112	+2	+0	—	—	+3	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Tigers 1	—	167	142	27	3	1	2	14	42	8	9	3	190	299	268	566	77	231	25	8	249	55	-9	+1	—	—	+4	-0.5
2024	18	ROK MLE	DSL Tigers 1	—	187	158	35	6	1	1	19	46	9	13	8	222	339	291	630	70	291	25	10	284	78	-5	-1	—	—	+4	-0.1
2025	19	ROK MLE	FCL Tigers	—	132	112	17	4	1	2	11	53	6	2	1	152	264	259	522	107	239	40	8	231	42	-9	+0	—	—	+3	-0.6
2023	17	ROK MLE	DSL Tigers 1	—	167	142	27	3	1	2	14	42	8	9	3	190	299	268	566	77	248	25	8	249	55	—	—	—	—	—	—
2023	17	ROK RAW	DSL Tigers 1	—	167	133	34	4	1	2	23	29	8	9	3	256	396	346	742	90	305	17	14	343	55	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tigers 1	—	187	158	35	6	1	1	19	46	9	13	8	222	339	291	630	70	304	25	10	284	78	—	—	—	—	—	—
2024	18	ROK RAW	DSL Tigers 1	—	187	146	44	8	1	2	31	32	9	13	8	301	452	411	863	110	372	17	17	397	78	—	—	—	—	—	—
2025	19	ROK MLE	FCL Tigers	—	132	112	17	4	1	2	11	53	6	2	1	152	264	259	522	107	250	40	8	231	42	—	—	—	—	—	—
2025	19	ROK RAW	FCL Tigers	—	132	106	24	6	2	2	17	37	6	2	1	226	364	377	742	151	314	28	13	334	42	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tigers 1	—	167	143	27	3	1	2	14	42	8	9	3	189	299	266	565	77	231	25	8	249	55	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tigers 1	—	187	157	35	6	1	1	19	46	9	13	8	223	339	293	632	70	291	25	10	284	78	—	—	—	—	—	—
2025	19	ROK MLE	FCL Tigers	—	132	114	17	4	1	2	11	53	6	2	1	149	264	254	518	105	239	40	8	231	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Tigers 1	—	167	143	27	3	1	2	14	42	8	9	3	189	299	266	565	77	231	25	8	249	55	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tigers 1	—	187	157	35	6	1	1	19	46	9	13	8	223	339	293	632	70	291	25	10	284	78	—	—	—	—	—	—
2025	19	ROK MLE	FCL Tigers	—	132	114	17	4	1	2	11	53	6	2	1	149	264	254	518	105	239	40	8	231	42	—	—	—	—	—	—
YTD	20	ROK MLE	DET	—	167	152	32	3	1	1	9	60	5	1	2	211	277	263	540	53	337	36	5	250	55	-9	-1	+0	+2	+4	-0.4
▸ 2026 season
YTD	20	ROK RAW	DET	—	167	146	46	5	2	2	15	42	5	1	2	315	398	418	815	103	427	25	9	368	55	—	—	—	—	—	—
ROS	20	ROK MLE	DET	0%	16	15	2	0	0	0	1	5	0	0	0	133	188	133	321		290	31	6	265	66	-1	+0	+0	+0	+0	-0.0
TOT	20	ROK MLE	DET	—	183	167	34	3	1	1	10	65	5	1	2	204	269	251	521	48	324	36	5	251	56	-10	-1	+0	+2	+4	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	DET	34%	224	201	44	7	1	4	17	62	4	4	2	219	293	323	616	104	293	28	8	279	75	-7	+0	+0	+2	+5	0.1
2028	22	MLB MLE	DET	48%	344	309	69	12	2	6	26	93	6	6	3	223	296	333	630	110	294	27	8	287	80	-8	+0	+0	+4	+7	0.3
2029	23	MLB MLE	DET	54%	424	380	87	15	3	9	33	113	8	8	3	229	304	355	659	126	295	27	8	291	83	-8	+0	+0	+5	+9	0.6
2030	24	MLB MLE	DET	55%	477	428	98	17	3	10	37	126	9	9	4	229	304	353	657	124	295	26	8	294	85	-8	+0	+0	+5	+10	0.7
2031	25	MLB MLE	DET	56%	507	453	104	18	3	11	40	133	9	10	4	230	305	355	660	126	295	26	8	295	86	-9	+0	+0	+5	+11	0.8
2032	26	MLB MLE	DET	60%	523	468	106	18	3	11	41	137	9	11	4	226	301	348	649	122	295	26	8	296	86	-9	+1	+0	+6	+11	0.9
2033	27	MLB MLE	DET	62%	529	472	107	18	3	11	42	139	10	11	5	227	303	347	651	121	295	26	8	296	86	-9	+0	+0	+6	+11	0.9
2034	28	MLB MLE	DET	63%	528	471	107	18	3	11	43	140	9	10	4	227	304	348	652	121	295	27	8	295	86	-9	+0	-1	+6	+11	0.8
2035	29	MLB MLE	DET	64%	521	465	105	18	3	11	42	139	9	10	4	226	302	348	651	123	294	27	8	293	84	-10	+0	-1	+6	+11	0.6
2036	30	MLB MLE	DET	65%	512	456	102	17	3	10	42	138	9	9	4	224	302	340	642	116	293	27	8	290	83	-11	+0	-2	+5	+11	0.4
2037	31	MLB MLE	DET	65%	499	447	99	16	3	10	40	136	9	9	4	221	298	338	636	116	291	27	8	287	80	-12	+0	-3	+5	+11	0.2
2038	32	MLB MLE	DET	65%	481	431	92	15	2	9	39	133	8	8	3	213	291	320	611	107	288	28	8	281	77	-13	+0	-4	+5	+10	-0.1
2027	21	MLB CTX	DET	34%	77	70	14	2	0	1	6	21	1	1	1	200	273	271	544	71	289	27	8	261	75	-2	-0	+0	+1	+2	0.0
2028	22	MLB CTX	DET	48%	167	149	32	5	1	3	13	45	3	3	1	215	291	322	613	107	289	27	8	269	80	-4	+0	+0	+2	+4	0.2
2029	23	MLB CTX	DET	54%	230	206	45	8	1	4	18	61	4	4	2	218	294	325	619	107	290	27	8	274	83	-5	+0	+0	+2	+5	0.3
2030	24	MLB CTX	DET	55%	264	236	53	9	2	5	21	69	5	5	2	225	302	343	645	119	290	26	8	276	85	-5	+0	+0	+3	+6	0.4
2031	25	MLB CTX	DET	56%	284	255	58	10	2	6	22	75	5	6	2	227	301	353	654	125	291	26	8	277	86	-5	+0	+0	+3	+6	0.5
2032	26	MLB CTX	DET	60%	314	280	63	11	2	6	25	82	6	6	3	225	302	343	645	118	290	26	8	278	86	-5	+0	+0	+3	+7	0.5
2033	27	MLB CTX	DET	62%	328	293	66	11	2	7	26	86	6	7	3	225	302	348	650	123	290	26	8	278	86	-5	+0	+0	+4	+7	0.6
2034	28	MLB CTX	DET	63%	333	297	67	11	2	7	27	88	6	7	3	226	303	347	650	121	290	26	8	277	86	-6	+0	-0	+4	+7	0.5
2035	29	MLB CTX	DET	64%	332	296	66	11	2	7	27	89	6	6	3	223	301	345	646	122	289	27	8	275	84	-6	+0	-1	+4	+7	0.4
2036	30	MLB CTX	DET	65%	333	297	65	11	2	6	27	90	6	6	3	219	297	330	627	111	288	27	8	273	83	-7	+0	-1	+4	+7	0.3
2037	31	MLB CTX	DET	65%	324	289	63	10	2	6	26	88	6	6	2	218	296	329	625	111	286	27	8	269	80	-8	+0	-2	+3	+7	0.1
2038	32	MLB CTX	DET	65%	313	280	60	10	2	5	25	86	5	5	2	214	290	318	608	104	284	27	8	264	77	-9	+0	-2	+3	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3299	2948	652	109	20	63	263	880	59	62	27	221	298	336	634	115	291	27	8	274	81	-66	+2	-7	+35	+71	3.7
/ 162G	—	A+C		—	650	581	128	21	4	12	52	173	12	12	5	220	298	332	630	112	290	27	8	274	81	-13	+0	-1	+7	+14	0.7
Career	—	MLE		—	6071	5408	1201	202	35	118	487	1635	122	129	56	222	301	338	639	116	293	27	8	288	81	-112	+3	-10	+60	+121	6.3
/ 162G	—	MLE		—	650	579	130	22	4	13	52	175	13	14	6	225	303	344	646	119	296	27	8	288	81	-13	+0	-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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.2	3,424	69	65	225	298	344	+37	+24	6.2	5.4
/162	664	13	13	+7.1	+4.7	1.2	pk7: 5
#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
Maikol Orozco (OGILVIE)	20	29→34	34→39	48→53	54	208/281/293	85	290	1	2	29%	7%	66	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
✕Christian Cerda 2023 · A	20	41→37	39→45	50→40	51	195/281/288	93	256	6	9	25%	10%	65	-1.2	193/287/297	104	256	11	4	27%	11%	69	-0.9	180/276/283	102	231	12	2	26%	11%	61	-1.1
✕Janelfry Zorrilla 2011 · A	20	41	40→45	50	42	202/257/291	89	262	7	13	26%	6%	55	-2.0	224/279/352	128	280	13	10	24%	6%	78	-0.3	225/276/353	127	282	14	8	25%	5%	75	-0.2
✕Juan Mora 2021 · A	21	43	42→45	53→55	49	209/289/317	108	255	9	14	21%	8%	74	-0.5	227/292/341	114	308	10	10	28%	6%	80	-0.1	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕Jhostynxon Garcia 2023 · A	20	38→41	41→50	48→50	45	182/267/286	104	281	8	8	35%	9%	59	-1.7	201/262/332	131	290	13	10	34%	6%	67	-1.1	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕Jose Meza 2023 · A	20	41→40	41→45	48→50	41	200/267/299	99	282	9	10	31%	6%	61	-1.5	203/296/305	102	299	9	8	32%	10%	74	-0.5	186/292/283	98	277	9	10	33%	11%	67	-0.7
✕Emilio King 2010 · A	20	40	37→45	51→40	43	190/274/270	79	258	4	9	26%	6%	58	-1.7	202/252/288	86	301	6	4	33%	4%	53	-2.1	211/249/305	94	308	7	2	33%	3%	52	-1.1
✕Gilbert Gomez 2012 · A	20	40→37	40	52→50	40	195/254/288	93	274	7	14	31%	6%	53	-2.1	201/272/277	76	304	4	8	32%	8%	58	-1.7	190/273/260	70	294	3	7	33%	10%	51	-1.4
✕Rafael Morel 2022 · A	20	38	40	51→50	39	187/249/281	94	269	8	13	32%	6%	51	-2.3	196/261/274	78	315	7	10	37%	7%	53	-2.1	188/258/263	75	295	9	10	37%	7%	47	-1.2
✕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
✕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
✕Jeter Downs 2018 · A	20	42→40	43→50	47→55	47	208/276/316	107	257	11	9	23%	7%	68	-1.0	211/277/351	140	270	15	17	27%	7%	78	-0.3	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Jose Bellorin 2011 · A	20	42	39→40	47→50	42	203/257/285	81	265	6	10	25%	6%	53	-2.1	223/280/308	85	271	6	9	19%	6%	68	-1.0	239/295/316	78	276	6	10	15%	6%	73	-0.3
✕Ameilis Carvajal 2009 · A	20	41	39→40	50	48	191/281/275	84	291	6	12	33%	10%	61	-1.5	194/264/268	74	320	4	9	37%	8%	53	-2.1	140/204/175	34	267	0	8	44%	7%	9	-1.1
✕Leonel Espinoza 2023 · A	20	39→44	41→40	50→55	41	191/263/288	96	267	9	11	31%	7%	57	-1.8	210/273/299	89	302	7	14	31%	6%	63	-1.3	208/265/289	81	298	7	18	31%	5%	55	-1.1
✕Tucker Mitchell 2022 · A	21	42	40→45	51→45	39	201/262/293	92	296	7	7	33%	6%	57	-1.8	195/269/306	111	299	13	8	37%	7%	65	-1.2	180/257/292	111	259	15	7	35%	7%	55	-0.8
✕Glenn Santiago 2021 · A	20	43	37→40	55→45	46	200/274/277	78	262	3	13	23%	7%	59	-1.6	205/269/296	91	280	7	9	28%	7%	61	-1.5	182/247/261	79	270	7	8	33%	7%	43	-1.1
✕Maximo Rivera 2012 · A	19	35	41→45	47→60	41	179/238/272	93	242	10	13	30%	6%	44	-2.8	221/272/301	80	288	7	19	24%	6%	63	-1.4	235/283/299	64	303	5	24	23%	5%	64	-0.4
✕Robert Gonzalez 2021 · A	20	42	40→45	54→60	47	195/295/296	102	308	7	8	35%	10%	72	-0.7	202/299/283	81	274	6	17	26%	10%	71	-0.8	180/307/230	50	224	5	30	19%	12%	61	-0.5
✕Angel Jimenez 2015 · A	20	42	40	49→50	47	204/283/296	92	263	8	13	24%	8%	68	-1.0	204/263/295	91	268	7	10	25%	6%	59	-1.7	181/231/269	88	229	8	9	24%	6%	38	-1.3

Career Stats + Projections

Career Comps

Career Path Comps