Orlando Patino — OGILVIE

Orlando PatinoOF DSL White Sox

Age 18 R/R 6'2" / 190 lbs ROK HR +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION178 act + 18 ros · stats below = ROS only

showingROS

wRC+†77

AVG/OBP/SLG.188 / .278 / .250

PA18

HR0

K%28

BB%11

BABIP296

ISO62

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · ContractCON 42 / POW 38

Toolsscout grade

CONTACT42

scouting grade only

POWER38

scouting grade only

EYE59

scouting grade only

SPEED56

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	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.4	$0.8M	+$0.0M (cut)
2036	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-3	$4M	+0.2	$0.3M	+$0.0M (cut)
Totals		$3M		$5M	+$1M

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 White Sox	—	51	42	7	2	0	0	7	15	1	1	0	167	300	214	514	48	250	29	14	249	55	-3	+0	—	—	+1	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL White Sox	—	51	45	5	1	0	0	4	22	1	1	0	111	200	133	333	22	191	43	8	164	-3	-6	+0	—	—	+1	-0.5
2025	17	ROK MLE	DSL White Sox	—	51	45	5	1	0	0	4	22	1	1	0	111	200	133	333	22	208	43	8	164	-3	—	—	—	—	—	—
2025	17	ROK RAW	DSL White Sox	—	51	42	7	2	0	0	7	15	1	1	0	167	300	214	514	48	250	29	14	249	-3	—	—	—	—	—	—
2025	17	ROK MLE	DSL White Sox	—	51	46	5	1	0	0	4	22	1	1	0	109	200	130	330	22	191	43	8	164	-3	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL White Sox	—	51	46	5	1	0	0	4	22	1	1	0	109	200	130	330	22	191	43	8	164	-3	—	—	—	—	—	—
YTD	18	ROK MLE	CWS	—	178	154	38	8	2	2	17	45	4	10	2	247	337	364	701	117	333	25	10	297	87	-3	+1	+0	-1	+4	0.1
▸ 2026 season
YTD	18	ROK RAW	CWS	—	178	143	45	11	2	2	28	31	4	10	2	315	440	462	902	147	387	17	16	400	87	—	—	—	—	—	—
ROS	18	ROK MLE	CWS	0%	18	16	3	1	0	0	2	5	0	1	0	188	278	250	528	62	296	28	11	282	77	-0	+0	+0	-0	+0	-0.0
TOT	18	ROK MLE	CWS	—	196	170	41	9	2	2	19	50	4	11	2	241	332	353	685	112	328	26	10	296	86	-3	+1	+0	-1	+4	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	CWS	34%	229	204	46	9	2	3	20	58	3	5	1	225	304	333	637	108	294	25	9	288	81	-5	+1	+0	-1	+5	-0.1
2028	20	MLB MLE	CWS	48%	360	320	73	14	3	6	32	90	5	8	2	228	308	347	655	119	296	25	9	295	86	-6	+1	+0	-2	+8	0.0
2029	21	MLB MLE	CWS	54%	456	405	93	18	3	8	41	113	7	10	2	230	311	348	659	119	297	25	9	300	89	-6	+1	+0	-3	+10	0.2
2030	22	MLB MLE	CWS	57%	524	464	109	21	4	10	47	128	8	12	3	235	316	362	678	127	297	24	9	303	91	-6	+1	+0	-3	+11	0.4
2031	23	MLB MLE	CWS	58%	569	504	118	23	4	11	51	139	9	13	3	234	316	361	677	127	298	24	9	305	92	-5	+1	+0	-3	+12	0.5
2032	24	MLB MLE	CWS	57%	598	530	124	24	4	12	54	145	9	13	3	234	315	362	678	128	299	24	9	306	93	-5	+1	+0	-4	+13	0.6
2033	25	MLB MLE	CWS	57%	615	544	128	25	4	12	56	149	10	14	3	235	318	362	680	127	299	24	9	307	94	-4	+2	+0	-4	+13	0.7
2034	26	MLB MLE	CWS	57%	623	551	129	25	4	12	57	151	10	14	3	234	317	359	676	125	299	24	9	307	94	-4	+2	+0	-4	+13	0.7
2035	27	MLB MLE	CWS	55%	623	551	129	25	4	12	57	152	10	14	3	234	317	359	676	125	298	24	9	307	94	-4	+2	+0	-4	+13	0.7
2036	28	MLB MLE	CWS	55%	618	546	128	25	4	12	57	151	10	13	3	234	318	361	679	126	298	24	9	306	93	-5	+1	-1	-4	+13	0.6
2037	29	MLB MLE	CWS	53%	608	536	125	24	4	12	57	150	10	13	3	233	318	360	678	127	297	25	9	304	92	-6	+1	-1	-4	+13	0.4
2038	30	MLB MLE	CWS	53%	598	528	121	23	4	11	56	149	9	12	3	229	314	350	664	121	296	25	9	301	90	-7	+1	-2	-4	+13	0.1
2039	31	MLB MLE	CWS	52%	583	514	116	22	4	10	55	147	9	12	3	226	311	342	654	117	293	25	9	297	87	-9	+1	-3	-3	+13	-0.1
2027	19	MLB CTX	CWS	34%	79	71	16	3	1	1	7	20	1	2	0	225	304	338	642	113	295	25	9	279	81	-2	+0	+0	-0	+2	-0.0
2028	20	MLB CTX	CWS	48%	174	153	35	7	1	3	16	44	3	4	1	229	314	346	660	118	297	25	9	285	86	-3	+0	+0	-1	+4	0.0
2029	21	MLB CTX	CWS	54%	247	219	51	10	2	4	22	61	4	5	1	233	314	352	666	119	297	25	9	290	89	-3	+1	+0	-1	+5	0.1
2030	22	MLB CTX	CWS	57%	297	263	62	12	2	6	27	73	5	7	1	236	319	365	684	129	298	25	9	293	91	-3	+1	+0	-2	+6	0.3
2031	23	MLB CTX	CWS	58%	328	290	67	13	2	6	30	80	5	7	2	231	314	352	666	121	299	24	9	294	92	-3	+1	+0	-2	+7	0.3
2032	24	MLB CTX	CWS	57%	341	302	71	14	2	7	31	83	5	8	2	235	317	364	681	129	300	24	9	296	93	-3	+1	+0	-2	+7	0.4
2033	25	MLB CTX	CWS	57%	349	308	72	14	2	7	32	85	6	8	2	234	318	360	678	127	300	24	9	297	94	-3	+1	+0	-2	+8	0.4
2034	26	MLB CTX	CWS	57%	353	312	73	14	2	7	32	86	6	8	2	234	317	359	676	125	299	24	9	297	94	-3	+1	+0	-2	+8	0.4
2035	27	MLB CTX	CWS	55%	346	305	72	14	2	7	32	84	6	8	2	236	321	364	685	128	299	24	9	297	94	-2	+1	+0	-2	+7	0.4
2036	28	MLB CTX	CWS	55%	339	299	71	14	2	7	32	83	5	7	2	237	321	368	689	130	299	24	9	296	93	-3	+1	-0	-2	+7	0.3
2037	29	MLB CTX	CWS	53%	325	287	66	13	2	6	30	80	5	7	1	230	314	352	666	122	298	25	9	294	92	-3	+1	-1	-2	+7	0.2
2038	30	MLB CTX	CWS	53%	315	277	64	12	2	6	30	79	5	6	1	231	317	354	671	123	297	25	10	291	90	-4	+1	-1	-2	+7	0.1
2039	31	MLB CTX	CWS	52%	304	268	61	12	2	5	28	77	5	6	1	228	312	343	656	116	294	25	9	287	87	-5	+1	-1	-2	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3797	3354	781	152	24	72	349	935	61	83	18	233	316	357	673	124	299	25	9	293	91	-38	+9	-4	-23	+82	2.8
/ 162G	—	A+C		—	650	574	133	26	4	12	60	160	10	14	3	232	315	354	669	122	298	25	9	293	91	-7	+2	-1	-4	+14	0.5
Career	—	MLE		—	7073	6258	1447	280	48	131	646	1749	110	155	35	231	314	354	668	123	298	25	9	302	91	-73	+17	-7	-42	+152	4.8
/ 162G	—	MLE		—	650	575	133	26	4	12	59	161	10	14	3	231	313	353	666	122	299	25	9	302	91	-7	+2	-1	-4	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.8	3,883	72	84	233	312	357	-23	+0	5.3	4.6
/162	664	12	14	-4.0	+0.0	0.9	pk7: 4
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4

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
Orlando Patino (OGILVIE)	18	37→42	33→38	51→56	59	218/298/317	99	296	1	3	26%	9%	77	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕Ravel Santana 2010 · A	18	39	42→50	48→55	44	192/269/294	102	269	10	9	31%	8%	61	-1.5	219/288/360	141	283	16	15	27%	8%	83	+0.1	220/291/383	163	271	20	20	26%	8%	87	+0.1
✕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
✕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
●Moisés Sierra 2007 · A	18	42→52	39→50	52→50	42	203/266/292	89	271	6	13	26%	6%	59	-1.6	205/253/299	94	283	8	9	29%	4%	55	-1.9	249/315/369	120	307	12	15	22%	7%	92	+0.6
✕Juan Lagares 2007 · A	18	42→52	40→45	53→50	41	203/261/302	99	285	6	11	30%	6%	59	-1.7	203/241/283	80	277	4	10	27%	4%	46	-2.6	268/308/373	106	324	7	13	19%	4%	89	+0.3
●Jahmai Jones 2016 · A	18	42→50	38→50	50	42	202/259/282	79	273	5	16	27%	6%	54	-2.0	226/281/327	101	292	8	16	24%	6%	72	-0.7	248/345/422	173	324	16	18	26%	11%	114	+1.3
✕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
✕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
✕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
✕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
✕Albert Hernandez 2008 · A	19	43	39→40	49→45	46	207/270/299	92	260	6	7	22%	7%	62	-1.4	226/286/317	91	285	6	7	22%	6%	72	-0.7	230/289/314	84	291	6	6	22%	6%	70	-0.2
✕José Fermín 2017 · A	18	42→51	37→45	48→55	44	201/258/285	84	274	3	8	27%	7%	54	-2.0	203/252/278	75	241	4	11	17%	4%	50	-2.3	244/330/367	123	265	11	26	12%	10%	98	+0.7
✕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
✕Ronarsy Ledesma 2011 · A	18	44	44→45	53→50	41	217/277/335	118	288	11	9	28%	6%	73	-0.6	219/286/320	101	286	6	11	24%	6%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Alexis Hernandez 2022 · A	19	43→48	40→50	49→50	49	206/271/299	92	244	7	10	18%	7%	62	-1.4	203/275/291	88	274	7	15	27%	8%	63	-1.4	215/291/342	128	289	14	18	29%	8%	78	-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
✕Francisco Herrera 2012 · A	18	46	40→45	47→30	49	220/280/315	95	261	7	8	19%	7%	70	-0.9	225/284/324	99	267	9	5	19%	6%	73	-0.6	225/284/320	95	260	10	3	17%	6%	71	-0.3
✕Yunior Garcia 2019 · A	18	37→47	43→50	52→30	40	187/247/297	110	260	10	10	31%	6%	53	-2.1	196/245/302	106	303	10	7	37%	5%	53	-2.1	225/276/346	121	319	13	2	32%	5%	71	-0.3

Career Stats + Projections

Career Comps

Career Path Comps