Hector Osorio — OGILVIE

Hector OsorioRF Hickory Crawdads

Age 21 L/L 6'0" / 150 lbs A HR +15%BB +5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION394 act + 9 ros · stats below = ROS only

showingROS

wRC+†107

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP266

ISO103

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$58M ctrl surplus

Tools · ContractCON 45 / POW 25

Toolsscout grade

CONTACT45

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED45

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	+1.2	$7M	+$6M
2032	Pre-Arb	$0.9M	+1.3	$7M	+$6M
2033	Pre-Arb	$1.0M	+1.1	$5M	+$5M
2034	Arb-1	$3M	+1.0	$4M	+$3M
2035	Arb-2	$5M	+0.8	$2M	+$0.0M (cut)
2036	Arb-3	$6M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$25M	+$20M

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)
2022	17	ROK	DSL TEX Red	—	39	29	8	1	0	0	8	6	2	1	1	276	462	310	772	34	348	15	21	376	141	+2	-0	—	—	+1	0.3
2023	18	ROK	DSL Rangers Blue	—	223	157	46	8	1	1	49	26	9	17	4	293	484	376	860	83	326	12	22	392	151	+14	+2	—	—	+5	2.1
2024	19	ROK	ACL Rangers	—	104	77	22	1	1	1	21	19	4	7	1	286	461	364	824	78	362	18	20	382	145	+6	+1	—	—	+2	0.9
2025	20	A	Hickory Crawdads	—	358	283	71	5	4	4	55	43	14	11	6	251	398	339	737	88	279	12	15	342	117	+7	-0	—	—	+8	1.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL TEX Red	—	39	32	7	1	0	0	5	9	2	1	1	219	359	250	609	31	282	23	13	272	70	-1	-0	—	—	+1	-0.1
2023	18	ROK MLE	DSL Rangers Blue	—	223	176	39	7	1	1	30	39	9	17	4	222	363	290	653	68	241	17	13	292	84	-4	+2	—	—	+5	0.2
2024	19	ROK MLE	ACL Rangers	—	104	85	18	1	1	1	13	28	4	7	1	212	343	282	625	71	272	27	12	272	70	-4	+1	—	—	+2	-0.0
2025	20	A MLE	Hickory Crawdads	—	358	305	65	4	3	4	33	62	14	11	6	213	318	285	603	72	242	17	9	270	69	-13	-0	—	—	+8	-0.6
2022	17	ROK MLE	DSL TEX Red	—	39	32	7	1	0	0	5	9	2	1	1	219	359	250	609	31	304	23	13	272	70	—	—	—	—	—	—
2022	17	ROK RAW	DSL TEX Red	—	39	29	8	1	0	0	8	6	2	1	1	276	462	310	772	34	348	15	21	376	70	—	—	—	—	—	—
2023	18	ROK MLE	DSL Rangers Blue	—	223	176	39	7	1	1	30	39	9	17	4	222	363	290	653	68	264	17	13	292	84	—	—	—	—	—	—
2023	18	ROK RAW	DSL Rangers Blue	—	223	157	46	8	1	1	49	26	9	17	4	293	484	376	860	83	326	12	22	392	84	—	—	—	—	—	—
2024	19	ROK MLE	ACL Rangers	—	104	85	18	1	1	1	13	28	4	7	1	212	343	282	625	71	298	27	12	272	70	—	—	—	—	—	—
2024	19	ROK RAW	ACL Rangers	—	104	77	22	1	1	1	21	19	4	7	1	286	461	364	824	78	362	18	20	382	70	—	—	—	—	—	—
2025	20	A MLE	Hickory Crawdads	—	358	305	65	4	3	4	33	62	14	11	6	213	318	285	603	72	251	17	9	270	69	—	—	—	—	—	—
2025	20	A RAW	Hickory Crawdads	—	358	283	71	5	4	4	55	43	14	11	6	251	398	339	737	88	279	12	15	342	69	—	—	—	—	—	—
2022	17	ROK MLE	DSL TEX Red	—	39	32	7	1	0	0	5	9	2	1	1	219	359	250	609	31	282	23	13	272	70	—	—	—	—	—	—
2023	18	ROK MLE	DSL Rangers Blue	—	223	182	39	7	1	1	30	39	9	17	4	214	363	280	643	66	241	17	13	292	84	—	—	—	—	—	—
2024	19	ROK MLE	ACL Rangers	—	104	86	18	1	1	1	13	28	4	7	1	209	343	279	622	70	272	27	12	272	70	—	—	—	—	—	—
2025	20	A MLE	Hickory Crawdads	—	358	308	65	4	3	4	33	62	14	11	6	211	318	282	601	71	242	17	9	270	69	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Rangers Blue	—	223	182	39	7	1	1	30	39	9	17	4	214	363	280	643	66	241	17	13	292	84	—	—	—	—	—	—
2024	19	ROK MLE	ACL Rangers	—	104	86	18	1	1	1	13	28	4	7	1	209	343	279	622	70	272	27	12	272	70	—	—	—	—	—	—
2025	20	A MLE	Hickory Crawdads	—	358	308	65	4	3	4	33	62	14	11	6	211	318	282	601	71	242	17	9	270	69	—	—	—	—	—	—
YTD	21	A MLE	TEX	—	394	341	85	12	1	19	35	69	12	9	6	249	340	457	798	208	257	18	9	338	115	+7	-1	+0	-4	+9	1.1
▸ 2026 season
YTD	21	A RAW	TEX	—	239	191	59	11	1	13	37	27	8	9	6	309	441	581	1.022	272	301	11	15	440	115	—	—	—	—	—	—
YTD	21	A+ RAW	TEX	—	155	131	36	4	0	8	17	23	4	0	0	275	375	489	864	214	275	15	11	376	115	—	—	—	—	—	—
ROS	21	A MLE	TEX	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		264	22	11	326	107	+0	+0	+0	-0	+0	0.0
TOT	21	A MLE	TEX	—	403	349	86	12	1	19	36	71	12	9	6	246	338	450	787	203	255	18	9	338	115	+7	-1	+0	-4	+9	1.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	TEX	48%	449	392	94	13	2	14	42	77	12	7	4	240	332	390	722	151	264	17	9	327	107	+4	-0	+0	-5	+10	0.9
2028	23	MLB MLE	TEX	68%	490	429	104	15	2	16	46	84	12	8	4	242	333	399	731	156	267	17	9	331	110	+6	+0	+0	-5	+11	1.2
2029	24	MLB MLE	TEX	74%	529	461	113	16	2	18	50	91	13	8	4	245	336	406	742	161	269	17	9	334	112	+8	+0	+0	-6	+11	1.4
2030	25	MLB MLE	TEX	77%	548	477	119	17	3	19	53	94	13	9	4	249	341	417	758	168	269	17	10	336	114	+9	+0	+0	-6	+12	1.5
2031	26	MLB MLE	TEX	78%	556	484	121	17	3	20	54	95	13	9	5	250	341	421	763	171	269	17	10	337	114	+9	-0	+0	-6	+12	1.6
2032	27	MLB MLE	TEX	77%	557	484	121	17	3	20	55	96	13	9	5	250	342	421	764	171	269	17	10	337	114	+10	-0	+0	-6	+12	1.6
2033	28	MLB MLE	TEX	77%	552	480	118	17	2	19	54	96	13	9	4	246	338	408	747	163	269	17	10	336	114	+9	+0	-1	-6	+12	1.5
2034	29	MLB MLE	TEX	75%	542	470	115	16	2	19	54	95	13	8	4	245	339	409	747	164	268	18	10	335	113	+8	+0	-1	-6	+12	1.3
2035	30	MLB MLE	TEX	73%	532	461	113	16	2	18	53	95	13	7	4	245	340	406	745	161	267	18	10	332	111	+7	-0	-2	-6	+12	1.1
2036	31	MLB MLE	TEX	73%	517	449	108	15	2	17	51	94	12	7	3	241	334	396	730	156	265	18	10	328	108	+5	+0	-3	-6	+11	0.8
2037	32	MLB MLE	TEX	72%	499	435	103	14	2	16	49	92	12	6	3	237	331	389	719	152	263	18	10	323	105	+3	+0	-4	-5	+11	0.5
2038	33	MLB MLE	TEX	72%	469	409	94	12	2	14	46	89	11	5	3	230	324	372	696	142	259	19	10	316	100	+0	-0	-4	-5	+10	0.1
2039	34	MLB MLE	TEX	68%	423	369	82	10	2	12	41	83	10	4	2	222	317	358	674	136	254	20	10	308	95	-3	+0	-5	-5	+9	-0.3
2027	22	MLB CTX	TEX	48%	217	189	46	6	1	7	20	37	6	3	2	243	335	397	732	153	266	17	9	313	107	+2	-0	+0	-2	+5	0.4
2028	23	MLB CTX	TEX	68%	334	291	73	10	2	12	32	57	8	5	3	251	341	423	764	172	269	17	10	319	110	+4	-0	+0	-4	+7	0.8
2029	24	MLB CTX	TEX	74%	392	343	86	12	2	14	37	67	9	6	3	251	339	420	759	169	271	17	9	323	112	+6	+0	+0	-4	+8	1.0
2030	25	MLB CTX	TEX	77%	421	368	93	13	2	16	40	72	10	7	3	253	342	429	771	177	272	17	10	325	114	+7	+0	+0	-5	+9	1.2
2031	26	MLB CTX	TEX	78%	435	380	96	14	2	16	42	75	10	7	4	253	343	426	769	174	272	17	10	326	114	+7	-0	+0	-5	+9	1.2
2032	27	MLB CTX	TEX	77%	430	375	94	13	2	16	42	74	10	7	3	251	342	424	766	173	272	17	10	326	114	+7	+0	+0	-5	+9	1.3
2033	28	MLB CTX	TEX	77%	423	368	93	13	2	16	42	73	10	7	3	253	345	429	775	177	271	17	10	325	114	+7	+0	-1	-5	+9	1.1
2034	29	MLB CTX	TEX	75%	404	351	88	12	2	15	40	71	10	6	3	251	344	425	769	174	271	18	10	323	113	+6	+0	-1	-4	+9	1.0
2035	30	MLB CTX	TEX	73%	391	340	85	12	2	14	39	70	9	5	3	250	343	421	763	171	270	18	10	321	111	+5	-0	-2	-4	+8	0.8
2036	31	MLB CTX	TEX	73%	376	327	79	11	1	13	37	68	9	5	2	242	335	401	736	159	268	18	10	317	108	+4	+0	-2	-4	+8	0.6
2037	32	MLB CTX	TEX	72%	361	314	74	10	1	12	36	67	8	4	2	236	330	389	718	153	265	19	10	312	105	+2	+0	-3	-4	+8	0.4
2038	33	MLB CTX	TEX	72%	338	294	69	9	1	11	33	64	8	4	2	235	328	384	713	150	261	19	10	305	100	+0	+0	-3	-4	+7	0.1
2039	34	MLB CTX	TEX	68%	286	249	57	7	1	9	28	56	7	3	1	229	324	373	697	145	257	20	10	297	95	-2	+0	-3	-3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4808	4189	1033	142	21	171	468	851	114	69	34	247	339	413	751	166	270	18	10	319	106	+56	+0	-14	-52	+104	9.6
/ 162G	—	A+C		—	650	566	139	19	3	23	63	115	15	9	5	246	336	412	748	166	269	18	10	319	106	+8	+0	-2	-7	+14	1.3
Career	—	MLE		—	7396	6406	1535	208	34	228	730	1321	189	132	61	240	335	389	724	150	267	18	10	325	106	+75	-0	-20	-71	+145	13.1
/ 162G	—	MLE		—	650	563	135	18	3	20	64	116	17	12	5	240	335	389	724	149	267	18	10	325	106	+7	-0	-2	-7	+14	1.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chase Headleylast yr '18 career totals — 11 seasons, 5,740 PA	8.6	5,740	130	93	263	343	400	+6	+26	27.7	26.7
/162	664	15	11	+0.8	+3.1	3.2	pk7: 26
#2Aaron Hilllast yr '17 career totals — 13 seasons, 6,217 PA	9.4	6,217	162	74	266	323	417	+22	+25	27.7	26.1
/162	664	17	8	+2.4	+2.6	3.0	pk7: 25
#3Jason Kipnislast yr '20 career totals — 10 seasons, 4,984 PA	7.5	4,984	126	136	260	333	416	+18	-11	22.6	21.9
/162	664	17	18	+2.4	-1.4	3.0	pk7: 21
#4Kelly Johnsonlast yr '16 career totals — 11 seasons, 5,139 PA	7.7	5,139	155	87	251	330	422	+8	-3	22.3	21.3
/162	664	20	11	+1.0	-0.4	2.9	pk7: 20
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.7	5,128	166	75	243	333	400	+5	+25	21.3	17.6
/162	664	22	10	+0.6	+3.2	2.8	pk7: 14
#5Colby Rasmuslast yr '17 career totals — 9 seasons, 4,070 PA	6.1	4,070	165	35	242	311	438	-0	+8	16.7	16.2
/162	664	27	6	-0.0	+1.3	2.7	pk7: 16
#6Travis Shawlast yr '21 career totals — 7 seasons, 2,671 PA	4.0	2,671	114	20	239	322	441	+4	+6	13.4	13.4
/162	664	28	5	+1.1	+1.6	3.3	pk7: 13

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
Hector Osorio (OGILVIE)	21	45	25	45	60	238/332/385	147	264	10	7	17%	9%	107	+1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●J.P. Crawford 2016 · AA	21	52→58	41→45	49→50	53	250/315/350	100	290	7	13	16%	9%	90	+0.6	217/291/314	97	267	8	9	20%	9%	74	-0.6	261/353/385	124	305	11	2	17%	11%	110	+2.2
✕Richi Sanchez 2015 · A	21	49	38→45	49→50	53	229/311/311	82	291	5	8	22%	10%	80	-0.1	212/272/290	78	279	3	7	23%	7%	60	-1.6	202/252/280	79	255	0	6	20%	6%	47	-0.6
✕Noah Mendlinger 2022 · A	21	49→59	39→40	44→45	52	230/311/322	91	292	5	6	22%	9%	82	+0.0	244/332/321	77	296	4	8	17%	9%	91	+0.6	271/353/338	68	317	2	8	14%	8%	100	+1.0
✕Henry Henry 2008 · A	21	52	41→40	50→60	53	246/331/344	98	291	8	14	18%	9%	95	+1.0	238/298/316	78	271	5	21	13%	6%	76	-0.4	250/305/317	67	277	4	30	11%	6%	75	-0.2
●Justin Yurchak 2018 · A	21	51→61	44→40	49→40	53	251/319/370	119	297	12	4	19%	9%	96	+1.0	230/292/323	93	290	7	3	22%	8%	76	-0.4	278/341/383	104	343	10	2	20%	8%	105	+1.0
✕Carlos Vidal 2017 · A	21	48	43→45	49→50	48	234/302/348	114	288	10	12	22%	7%	85	+0.2	231/279/321	90	301	5	7	24%	6%	70	-0.9	236/282/326	90	306	4	6	23%	5%	69	-0.5
✕Noe Becerra 2008 · AAA	21	48	40→30	46→40	50	228/295/325	96	276	7	8	19%	8%	77	-0.3	210/273/290	80	268	7	8	23%	8%	61	-1.5	227/282/264	38	279	1	1	18%	7%	56	-0.5
●Geraldo Perdomo 2021 · A	21	48→56	38→45	50→55	51	226/307/307	80	281	4	17	20%	9%	78	-0.3	206/295/294	88	268	6	12	23%	10%	71	-0.8	257/357/385	127	281	12	19	12%	12%	112	+2.1
✕Sherman Lacrus 2016 · A	22	46	40→30	45→50	49	222/293/313	91	261	7	7	18%	7%	74	-0.5	208/263/291	83	278	5	8	26%	6%	57	-1.8	191/242/262	71	249	5	9	24%	5%	40	-0.9
●Kolten Wong 2012 · A	21	51→61	45→50	48→55	48	251/301/378	127	283	11	12	16%	6%	91	+0.7	254/297/365	111	293	9	19	16%	5%	86	+0.3	271/355/410	138	308	11	16	15%	9%	112	+1.7
✕Casey Turgeon 2015 · A	22	49	40	47→45	53	232/312/331	99	279	7	7	19%	9%	85	+0.2	208/295/293	85	264	5	7	21%	10%	71	-0.8	193/286/275	81	246	6	7	22%	10%	61	-0.7
✕Josh Alley 2006 · A	22	50	38→40	44→50	58	235/325/309	75	284	6	9	19%	11%	85	+0.2	227/312/309	82	279	5	10	18%	11%	80	-0.1	233/321/317	84	282	4	11	17%	11%	83	+0.0
✕Luis Sierra 2008 · A	21	47	40	47→45	48	224/297/316	93	266	7	7	18%	7%	77	-0.3	227/276/324	97	273	9	7	20%	5%	70	-0.9	234/272/330	96	283	9	4	20%	5%	68	-0.4
✕Ulises Montilla 2013 · A	21	53	39→45	48→50	52	246/307/337	92	273	4	12	12%	7%	84	+0.1	226/283/318	92	280	4	7	19%	6%	71	-0.8	221/273/326	105	277	3	0	20%	6%	67	-0.3
✕Jorbit Vivas 2022 · A	21	53→55	46→45	47→50	47	261/324/398	137	294	13	7	16%	6%	105	+1.7	233/314/345	112	264	10	11	15%	8%	90	+0.6	220/309/323	103	252	9	14	16%	8%	81	-0.0
✕Marcus Lemon 2009 · A	21	50→53	40	45	47	240/301/340	100	298	6	9	21%	7%	82	+0.0	239/283/316	77	294	3	8	19%	5%	70	-0.9	235/284/324	88	297	4	6	21%	6%	68	-0.5
✕Daniel Vellojin 2021 · A	21	45	39→45	47→45	51	215/298/306	91	267	6	8	21%	9%	74	-0.5	199/293/310	111	279	10	5	29%	11%	74	-0.5	178/276/286	107	248	11	4	30%	11%	60	-0.8
✕Tsung-Che Cheng 2022 · A	21	49→47	44→45	51→55	57	239/323/360	121	271	11	17	16%	10%	96	+1.0	221/292/337	116	298	9	19	27%	9%	79	-0.2	212/282/329	117	285	9	20	27%	8%	71	-0.7
✕Dan Robinson 2019 · A	22	52	38→40	51→50	51	243/305/334	91	287	4	10	16%	8%	82	+0.0	213/281/289	76	281	4	7	23%	8%	63	-1.3	193/268/258	64	258	2	5	24%	9%	49	-1.5
✕Luis Perez 2012 · A	21	48	39→30	49→50	50	225/294/319	94	263	6	9	16%	7%	76	-0.4	222/266/337	115	287	9	8	25%	5%	69	-0.9	221/254/357	136	290	11	7	27%	4%	66	-0.3

Career Stats + Projections

Career Comps

Career Path Comps