Jose Astudillo — OGILVIE

Jose AstudilloSS San Jose Giants

Age 22 R/R 5'9" / 172 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION336 act + 9 ros · stats below = ROS only

showingROS

wRC+†96

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

PA9

HR0

K%11

BB%5

BABIP296

ISO116

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$68M ctrl surplus

Tools · ContractCON 76 / POW 41

Toolsscout grade

CONTACT76

scouting grade only

POWER41

scouting grade only

EYE44

scouting grade only

SPEED61

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	+1.4	$8M	+$7M
2032	Pre-Arb	$0.9M	+1.3	$7M	+$6M
2033	Pre-Arb	$1.0M	+1.2	$6M	+$5M
2034	Arb-1	$3M	+1.0	$4M	+$3M
2035	Arb-2	$5M	+0.8	$2M	+$0.0M (cut)
2036	Arb-3	$5M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$27M	+$21M

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)
2021	17	ROK	DSL Giants Black	—	60	53	11	3	0	0	5	5	1	3	0	208	288	264	552	57	224	8	8	255	59	-3	+1	—	—	+1	-0.1
2022	18	ROK	DSL Giants Orange	—	40	32	9	2	1	0	4	4	1	6	1	281	378	406	785	125	310	10	10	328	108	+0	+1	—	—	+1	0.2
2023	19	ROK	DSL Giants Orange	—	102	91	33	6	2	0	8	5	2	10	1	363	426	473	898	110	379	5	8	398	156	+7	+2	—	—	+2	1.1
2024	20	ROK	DSL Giants Black	—	16	14	5	0	0	0	0	0	1	0	0	357	400	357	757		333	0	0	329	109	+0	+0	—	—	+0	0.1
2025	21	A	San Jose Giants	—	78	70	22	6	0	0	5	10	1	5	1	314	368	400	768	86	355	13	6	339	115	+1	+1	—	—	+2	0.4
2025	21	ROK	ACL Giants	—	122	107	43	6	1	1	10	9	4	5	6	402	471	505	976	103	429	7	8	434	180	+12	-1	—	—	+3	1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Giants Black	—	60	55	9	2	0	0	3	7	1	3	0	164	220	200	420	36	187	12	5	197	19	-6	+1	—	—	+1	-0.4
2022	18	ROK MLE	DSL Giants Orange	—	40	33	8	2	1	0	3	6	1	6	1	242	324	364	688	121	237	15	8	256	59	-2	+1	—	—	+1	-0.0
2023	19	ROK MLE	DSL Giants Orange	—	102	94	29	5	1	0	5	7	2	10	1	309	356	383	739	74	324	7	5	322	104	+0	+2	—	—	+2	0.4
2024	20	ROK MLE	DSL Giants Black	—	16	14	5	0	0	0	0	0	1	0	0	357	400	357	757		280	0	0	302	91	-0	+0	—	—	+0	0.0
2025	21	A MLE	San Jose Giants	—	78	72	19	4	0	0	3	14	1	5	1	264	303	319	622	56	307	18	4	279	75	-2	+1	—	—	+2	-0.0
2025	21	ROK MLE	ACL Giants	—	122	111	35	4	1	1	6	12	4	5	6	315	372	396	768	81	333	10	5	324	105	+1	-1	—	—	+3	0.2
2021	17	ROK MLE	DSL Giants Black	—	60	55	9	2	0	0	3	7	1	3	0	164	220	200	420	36	184	12	5	197	19	—	—	—	—	—	—
2021	17	ROK RAW	DSL Giants Black	—	60	53	11	3	0	0	5	5	1	3	0	208	288	264	552	57	224	8	8	255	19	—	—	—	—	—	—
2022	18	ROK MLE	DSL Giants Orange	—	40	33	8	2	1	0	3	6	1	6	1	242	324	364	688	121	286	15	8	256	59	—	—	—	—	—	—
2022	18	ROK RAW	DSL Giants Orange	—	40	32	9	2	1	0	4	4	1	6	1	281	378	406	785	125	310	10	10	328	59	—	—	—	—	—	—
2023	19	ROK MLE	DSL Giants Orange	—	102	94	29	5	1	0	5	7	2	10	1	309	356	383	739	74	330	7	5	322	104	—	—	—	—	—	—
2023	19	ROK RAW	DSL Giants Orange	—	102	91	33	6	2	0	8	5	2	10	1	363	426	473	898	110	379	5	8	398	104	—	—	—	—	—	—
2024	20	ROK MLE	DSL Giants Black	—	16	14	5	0	0	0	0	0	1	0	0	357	400	357	757		333	0	0	302	91	—	—	—	—	—	—
2024	20	ROK RAW	DSL Giants Black	—	16	14	5	0	0	0	0	0	1	0	0	357	400	357	757		333	0	0	329	91	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	200	183	54	9	1	1	9	26	5	10	7	295	345	372	717	77	333	13	4	306	94	—	—	—	—	—	—
2025	21	ROK RAW	2 teams	—	200	177	65	12	1	1	15	19	5	10	7	367	431	463	895	96	400	10	8	397	94	—	—	—	—	—	—
2021	17	ROK MLE	DSL Giants Black	—	60	56	9	2	0	0	3	7	1	3	0	161	220	196	417	36	187	12	5	197	19	—	—	—	—	—	—
2022	18	ROK MLE	DSL Giants Orange	—	40	36	8	2	1	0	3	6	1	6	1	222	324	333	658	111	237	15	8	256	59	—	—	—	—	—	—
2023	19	ROK MLE	DSL Giants Orange	—	102	94	29	5	1	0	5	7	2	10	1	309	356	383	739	74	324	7	5	322	104	—	—	—	—	—	—
2024	20	ROK MLE	DSL Giants Black	—	16	15	5	0	0	0	0	0	1	0	0	333	400	333	733		280	0	0	302	91	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	200	184	54	9	1	1	9	26	5	10	7	293	345	370	715	76	323	13	4	306	94	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	DSL Giants Orange	—	102	94	29	5	1	0	5	7	2	10	1	309	356	383	739	74	324	7	5	322	104	—	—	—	—	—	—
2024	20	ROK MLE	DSL Giants Black	—	16	15	5	0	0	0	0	0	1	0	0	333	400	333	733		280	0	0	302	91	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	200	184	54	9	1	1	9	26	5	10	7	293	345	370	715	76	323	13	4	306	94	—	—	—	—	—	—
YTD	22	A MLE	SF	—	336	312	89	13	1	6	17	36	3	22	5	285	328	391	719	106	306	11	5	308	95	-2	+2	+0	+4	+7	1.1
▸ 2026 season
YTD	22	A RAW	SF	—	199	179	60	10	1	6	13	14	3	11	2	335	390	503	893	168	338	7	7	388	95	—	—	—	—	—	—
YTD	22	A+ RAW	SF	—	71	63	21	3	0	0	7	5	0	7	1	333	394	381	775	48	362	7	10	352	95	—	—	—	—	—	—
YTD	22	AA RAW	SF	—	66	59	13	2	0	0	5	8	0	4	2	220	273	254	527	34	255	12	8	243	95	—	—	—	—	—	—
ROS	22	A MLE	SF	0%	9	9	2	0	0	0	0	1	0	0	0	222	222	222	444		302	11	0	310	96	-0	+0	+0	+0	+0	0.0
TOT	22	A MLE	SF	—	345	321	91	13	1	6	17	37	3	22	5	283	326	386	712	103	305	11	5	308	95	-2	+2	+0	+4	+7	1.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	SF	48%	353	326	88	15	2	7	20	53	4	10	3	270	320	393	713	123	301	15	6	314	99	-1	+1	+0	+4	+8	1.2
2028	24	MLB MLE	SF	65%	419	387	104	18	2	9	25	64	4	12	3	269	320	395	715	127	301	15	6	318	101	+1	+1	+0	+4	+9	1.6
2029	25	MLB MLE	SF	73%	449	414	112	20	2	10	27	70	5	12	3	271	323	401	724	130	301	16	6	320	103	+1	+1	+0	+5	+10	1.7
2030	26	MLB MLE	SF	76%	467	430	115	20	2	10	29	73	5	12	3	267	321	393	714	126	301	16	6	321	103	+2	+1	+0	+5	+10	1.8
2031	27	MLB MLE	SF	76%	470	432	117	21	2	11	30	74	5	12	3	271	325	405	731	134	301	16	6	321	103	+2	+1	+0	+5	+10	1.9
2032	28	MLB MLE	SF	76%	468	430	115	20	2	10	30	74	5	12	3	267	323	393	716	126	301	16	6	320	103	+2	+1	-1	+5	+10	1.8
2033	29	MLB MLE	SF	74%	459	421	113	20	2	10	30	74	5	11	3	268	325	397	721	128	300	16	7	318	102	+1	+1	-1	+5	+10	1.6
2034	30	MLB MLE	SF	73%	450	413	109	19	2	9	29	74	5	10	3	264	320	385	705	121	300	16	6	316	100	-0	+1	-2	+5	+10	1.4
2035	31	MLB MLE	SF	73%	436	401	105	18	2	9	28	73	4	9	2	262	316	384	700	122	298	17	6	312	97	-1	+1	-3	+5	+9	1.1
2036	32	MLB MLE	SF	72%	418	384	99	17	1	8	27	71	4	8	2	258	313	370	683	112	296	17	6	307	94	-3	+1	-4	+4	+9	0.8
2037	33	MLB MLE	SF	72%	388	356	90	15	1	7	25	68	4	7	2	253	309	360	669	107	292	18	6	300	89	-5	+1	-4	+4	+8	0.4
2038	34	MLB MLE	SF	68%	344	316	78	12	1	6	22	63	3	6	2	247	302	348	650	101	288	18	6	291	83	-7	+0	-5	+4	+7	-0.0
2027	23	MLB CTX	SF	48%	171	158	42	7	1	3	9	26	2	5	1	266	314	380	693	114	296	15	5	300	99	-0	+1	+0	+2	+4	0.6
2028	24	MLB CTX	SF	65%	272	251	66	12	1	5	16	42	3	8	2	263	315	378	693	116	296	15	6	303	101	+0	+1	+0	+3	+6	1.0
2029	25	MLB CTX	SF	73%	326	300	79	14	1	7	20	51	3	9	2	263	316	387	702	123	295	16	6	305	103	+1	+1	+0	+3	+7	1.3
2030	26	MLB CTX	SF	76%	356	327	86	15	2	7	22	56	4	9	2	263	317	385	703	122	295	16	6	306	103	+1	+1	+0	+4	+8	1.4
2031	27	MLB CTX	SF	76%	358	328	86	15	2	7	23	56	4	9	2	262	318	384	702	122	295	16	6	306	103	+1	+1	+0	+4	+8	1.4
2032	28	MLB CTX	SF	76%	356	326	85	15	1	7	23	57	4	9	2	261	317	377	695	117	295	16	6	305	103	+1	+1	-1	+4	+8	1.3
2033	29	MLB CTX	SF	74%	341	313	81	14	1	7	22	55	3	8	2	259	314	377	691	118	295	16	6	304	102	+1	+1	-1	+4	+7	1.2
2034	30	MLB CTX	SF	73%	330	303	78	14	1	6	21	54	3	7	2	257	312	370	682	112	294	16	6	302	100	-0	+1	-2	+4	+7	1.0
2035	31	MLB CTX	SF	73%	317	291	75	13	1	6	20	53	3	7	2	258	312	371	683	113	292	17	6	298	97	-1	+1	-2	+3	+7	0.8
2036	32	MLB CTX	SF	72%	302	277	70	12	1	5	19	52	3	6	2	253	308	357	665	105	290	17	6	293	94	-2	+0	-3	+3	+7	0.6
2037	33	MLB CTX	SF	72%	280	257	65	11	1	5	18	49	3	5	1	253	309	362	671	109	287	18	6	287	89	-4	+1	-3	+3	+6	0.3
2038	34	MLB CTX	SF	68%	233	214	52	8	1	4	15	42	2	4	1	243	299	346	644	103	282	18	6	279	83	-5	+0	-3	+2	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3642	3345	865	150	14	69	228	593	37	86	21	259	313	374	687	115	294	16	6	300	97	-6	+9	-14	+39	+79	10.9
/ 162G	—	A+C		—	650	597	154	27	2	12	41	106	7	15	4	258	314	370	684	112	294	16	6	300	97	-1	+2	-3	+7	+14	1.9
Career	—	MLE		—	5548	5098	1352	233	24	107	342	878	63	150	41	265	319	383	703	118	300	16	6	312	97	-9	+11	-20	+55	+111	15.2
/ 162G	—	MLE		—	650	597	159	27	3	13	40	103	7	18	5	266	320	387	707	121	301	16	6	312	97	-1	+1	-2	+7	+14	1.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Erick Aybarlast yr '17 career totals — 11 seasons, 5,588 PA	8.4	5,588	58	154	271	314	372	+58	+49	22.0	21.3
/162	664	7	18	+6.9	+5.8	2.6	pk7: 21
#2Felipe Lopezlast yr '11 career totals — 11 seasons, 4,864 PA	7.3	4,864	90	124	264	333	391	+31	-19	17.7	18.1
/162	664	12	17	+4.2	-2.6	2.4	pk7: 19
#3Kolten Wonglast yr '23 career totals — 11 seasons, 4,283 PA	6.5	4,283	86	120	256	330	390	+15	+21	18.4	17.8
/162	664	13	19	+2.4	+3.2	2.8	pk7: 17
#4Jordy Mercerlast yr '21 career totals — 9 seasons, 3,394 PA	5.1	3,394	66	13	257	315	387	+35	+50	17.0	16.7
/162	664	13	3	+6.9	+9.8	3.3	pk7: 17
#5Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.9	3,900	80	93	265	315	387	+40	+27	14.8	12.6
/162	664	14	16	+6.8	+4.6	2.5	pk7: 10
#6José Perazalast yr '21 career totals — 6 seasons, 2,134 PA	3.2	2,134	35	76	266	307	373	+14	+31	8.6	8.6
/162	664	11	24	+4.5	+9.7	2.7	pk7: 9

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
Jose Astudillo (OGILVIE)	22	71→76	36→41	56→61	44	267/313/377	110	302	4	11	15%	5%	96	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Osleivis Basabe 2023 · AA	22	57→62	40→45	56→50	46	270/315/373	103	320	5	17	17%	6%	95	+0.9	244/289/348	104	297	7	13	20%	5%	80	-0.2	230/276/336	106	279	9	11	21%	5%	70	-0.6
✕Chin-Lung Hu 2006 · A	22	57→61	42→45	51→50	44	276/307/384	108	301	8	16	12%	3%	95	+0.9	258/295/362	104	290	8	11	14%	5%	85	+0.2	267/297/374	108	298	8	11	13%	4%	84	+0.1
●Vaughn Grissom 2022 · A	21	53→62	42→45	54→55	49	253/325/364	110	312	9	12	21%	8%	97	+1.1	271/334/394	123	324	11	17	19%	7%	107	+1.9	270/336/389	118	323	11	18	19%	7%	104	+1.3
●Matt Duffy 2014 · A	23	51→61	44→45	53→50	50	251/310/372	122	289	12	16	18%	8%	93	+0.8	277/324/389	112	329	9	15	18%	6%	102	+1.5	283/337/387	104	329	9	12	16%	7%	104	+1.4
✕Josh Rutledge 2012 · A	23	56→60	45→50	54→50	42	270/319/404	134	344	11	12	24%	5%	104	+1.6	255/300/393	138	313	12	14	22%	5%	95	+0.9	252/299/388	136	308	12	13	22%	5%	91	+0.6
✕Devon Travis 2014 · A	23	58→62	46→50	53→50	48	285/338/420	135	322	13	13	16%	6%	115	+2.4	274/321/414	140	319	13	12	18%	6%	107	+1.8	280/323/427	147	327	14	10	18%	6%	109	+1.3
✕Iván De Jesús Jr. 2010 · AA	23	58→65	39→40	51→50	52	275/339/363	88	330	6	12	18%	8%	101	+1.4	243/287/325	82	304	6	7	21%	5%	74	-0.6	263/320/354	91	340	5	4	23%	6%	89	+0.3
✕Kelby Tomlinson 2012 · A	22	49→59	40	56→60	44	236/285/341	105	298	6	13	22%	6%	76	-0.4	219/275/277	58	298	2	21	25%	7%	57	-1.8	279/337/345	67	339	3	24	17%	7%	93	+0.6
●Jon Jay 2007 · A	22	56→64	40→45	50	49	269/321/370	100	311	7	11	16%	6%	97	+1.1	256/306/364	108	301	9	13	18%	5%	90	+0.6	292/352/409	117	338	9	15	15%	6%	114	+2.0
●Starlin Castro 2012 · MLB	22	61→63	42→50	51→50	47	294/332/410	116	332	7	16	14%	5%	109	+2.0	275/316/404	129	316	11	14	16%	5%	102	+1.5	283/325/431	148	327	17	3	18%	5%	110	+2.0
●Tyler Kuhn 2009 · A	22	55→65	41→40	53→50	44	260/299/376	116	317	5	7	20%	5%	89	+0.5	262/300/347	85	325	3	11	19%	5%	82	+0.0	277/317/363	85	342	2	12	18%	5%	90	+0.5
✕Alcides Escobar 2009 · AA	22	58→64	37→45	54→55	41	278/304/354	76	332	5	22	18%	3%	85	+0.2	258/297/345	87	301	5	24	15%	5%	81	-0.1	268/301/353	85	308	4	28	14%	4%	82	+0.0
✕Leo Heras 2012 · AAA	22	58→66	42→50	54→55	48	282/323/394	111	310	9	18	12%	5%	102	+1.5	253/312/390	137	299	13	18	19%	7%	98	+1.2	242/317/373	131	314	11	18	24%	9%	94	+0.5
✕Jose Aguilar 2013 · AAA	23	57→61	40→45	52→55	47	270/325/369	99	317	6	16	17%	6%	98	+1.2	277/331/381	104	319	7	16	15%	6%	103	+1.5	284/341/387	103	323	7	16	13%	6%	104	+1.0
●Otto Lopez 2021 · A	22	53→63	39→50	47→55	43	251/289/336	85	305	5	12	20%	5%	76	-0.4	258/307/349	91	325	4	17	21%	6%	86	+0.3	283/332/413	130	317	12	23	14%	6%	108	+1.8
✕Nick Van Stratten 2007 · A	22	49→59	39→40	58→55	50	229/293/326	97	253	5	12	12%	6%	76	-0.4	251/308/356	105	291	5	12	15%	6%	88	+0.5	308/344/391	82	345	3	23	11%	4%	106	+0.8
✕Eric Fryer 2009 · A	23	53→62	44→45	51→50	44	256/308/380	123	325	10	10	24%	6%	95	+0.9	239/305/351	112	309	9	10	24%	7%	86	+0.3	233/307/341	108	301	9	10	24%	8%	82	+0.0
●Amed Rosario 2018 · MLB	22	55→61	41→50	56→55	40	262/296/368	106	333	7	18	23%	4%	86	+0.3	271/307/400	129	331	11	19	21%	5%	98	+1.2	277/316/403	125	330	9	15	18%	5%	100	+1.4
●Desmond Jennings 2009 · A	22	51→59	43→50	56→60	48	246/309/361	115	293	10	25	19%	7%	91	+0.6	256/321/380	124	304	9	34	18%	8%	99	+1.3	243/323/397	154	290	15	28	21%	9%	102	+1.5
✕Brent Morel 2009 · A	22	51→57	43→50	54→50	45	251/298/360	109	298	11	12	20%	6%	86	+0.3	251/287/380	129	292	13	12	18%	5%	86	+0.3	253/289/383	129	290	13	11	17%	4%	85	+0.2

Career Stats + Projections

Career Comps

Career Path Comps