Jose Santana — OGILVIE

Jose SantanaSS DSL Angels

Age 18 R/R 6'1" / 170 lbs ROK K +5%HR +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION29 act + 9 ros · stats below = ROS only

showingROS

wRC+†61

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

PA9

HR0

K%33

BB%11

BABIP287

ISO67

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$17M ctrl surplus

Tools · Contract

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	+0.6	$1M	+$0.9M
2035	Arb-1	$3M	+0.6	$1M	+$0.0M (cut)
2036	Arb-2	$5M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$6M	+0.4	$0.7M	+$0.0M (cut)
Totals		$3M		$7M	+$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 Angels	—	121	87	9	0	0	0	29	29	4	3	5	103	350	103	453		153	24	24	259	61	-6	-1	—	—	+3	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Angels	—	121	97	7	0	0	0	19	42	4	3	5	72	250	72	322		123	35	16	177	6	-14	-1	—	—	+3	-1.3
2025	17	ROK MLE	DSL Angels	—	121	97	7	0	0	0	19	42	4	3	5	72	250	72	322		125	35	16	177	6	—	—	—	—	—	—
2025	17	ROK RAW	DSL Angels	—	121	87	9	0	0	0	29	29	4	3	5	103	350	103	453		153	24	24	259	6	—	—	—	—	—	—
2025	17	ROK MLE	DSL Angels	—	121	97	7	0	0	0	19	42	4	3	5	72	250	72	322		123	35	16	177	6	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Angels	—	121	97	7	0	0	0	19	42	4	3	5	72	250	72	322		123	35	16	177	6	—	—	—	—	—	—
YTD	18	ROK MLE	LAA	—	29	24	1	0	0	0	4	17	1	2	3	42	207	42	249		143	59	14	140	-19	-4	-1	+0	+0	+1	-0.4
▸ 2026 season
YTD	18	ROK RAW	LAA	—	29	21	1	0	0	0	7	12	1	2	3	48	310	48	358		111	41	24	225	-19	—	—	—	—	—	—
ROS	18	ROK MLE	LAA	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		287	33	11	258	61	-0	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	LAA	—	38	32	2	0	0	0	5	20	1	2	3	62	211	62	273		167	53	13	168	0	-5	-1	+0	+0	+1	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	LAA	34%	193	169	34	5	1	2	19	57	3	2	0	201	293	278	571	77	290	30	10	270	69	-7	+0	+0	+2	+4	-0.1
2028	20	MLB MLE	LAA	48%	332	291	61	9	2	5	33	96	5	3	1	210	301	306	607	96	292	29	10	279	75	-10	+0	+0	+4	+7	0.1
2029	21	MLB MLE	LAA	54%	437	384	83	13	3	7	43	124	7	4	1	216	306	320	627	104	293	28	10	285	79	-11	+0	+0	+5	+9	0.4
2030	22	MLB MLE	LAA	57%	511	447	97	15	3	9	50	143	9	4	1	217	308	324	633	107	294	28	10	289	82	-11	+0	+0	+5	+11	0.6
2031	23	MLB MLE	LAA	58%	562	492	107	17	3	10	55	157	10	5	1	217	309	325	634	108	295	28	10	291	83	-11	+1	+0	+6	+12	0.8
2032	24	MLB MLE	LAA	57%	595	521	115	18	4	11	59	166	10	5	1	221	312	334	646	113	296	28	10	293	85	-11	+1	+0	+6	+13	0.9
2033	25	MLB MLE	LAA	57%	614	537	118	18	4	12	61	171	11	5	1	220	312	335	647	115	296	28	10	295	86	-10	+1	+0	+7	+13	1.0
2034	26	MLB MLE	LAA	57%	623	545	122	19	4	13	62	173	11	5	1	224	316	345	660	121	296	28	10	296	86	-10	+1	+0	+7	+13	1.1
2035	27	MLB MLE	LAA	55%	625	546	122	19	4	13	63	174	11	5	1	223	316	344	660	121	296	28	10	296	86	-10	+1	+0	+7	+14	1.1
2036	28	MLB MLE	LAA	55%	621	542	119	18	4	12	63	174	11	5	1	220	313	334	647	114	295	28	10	295	86	-10	+1	-1	+7	+13	1.0
2037	29	MLB MLE	LAA	53%	611	534	116	18	3	12	62	172	10	5	1	217	310	330	640	112	295	28	10	293	85	-11	+1	-1	+7	+13	0.8
2038	30	MLB MLE	LAA	53%	601	525	112	17	3	11	61	171	10	5	1	213	307	320	627	107	294	28	10	291	83	-12	+1	-2	+6	+13	0.6
2039	31	MLB MLE	LAA	52%	587	512	109	16	3	11	60	169	10	5	1	213	308	320	628	107	291	29	10	287	80	-14	+1	-3	+6	+13	0.3
2040	32	MLB MLE	LAA	52%	569	497	104	15	3	10	58	166	9	4	1	209	303	312	615	103	289	29	10	282	77	-16	+0	-4	+6	+12	-0.0
2027	19	MLB CTX	LAA	34%	66	59	12	2	0	1	6	19	1	1	0	203	288	288	576	85	290	29	9	258	69	-2	+0	+0	+1	+1	-0.0
2028	20	MLB CTX	LAA	48%	161	141	30	5	1	2	16	46	3	1	0	213	306	305	611	92	291	29	10	266	75	-5	+0	+0	+2	+3	0.1
2029	21	MLB CTX	LAA	54%	237	208	44	7	1	4	23	67	4	2	1	212	302	312	615	101	292	28	10	272	79	-6	+0	+0	+3	+5	0.2
2030	22	MLB CTX	LAA	57%	289	254	55	8	2	5	28	81	5	2	1	217	307	323	629	106	293	28	10	276	82	-6	+0	+0	+3	+6	0.3
2031	23	MLB CTX	LAA	58%	324	283	62	10	2	6	32	90	6	3	1	219	312	332	644	113	294	28	10	279	83	-6	+0	+0	+3	+7	0.4
2032	24	MLB CTX	LAA	57%	339	297	66	10	2	7	33	94	6	3	1	222	312	340	653	118	295	28	10	281	85	-6	+0	+0	+4	+7	0.5
2033	25	MLB CTX	LAA	57%	348	305	67	10	2	7	34	97	6	3	1	220	310	334	645	115	295	28	10	283	86	-6	+0	+0	+4	+8	0.6
2034	26	MLB CTX	LAA	57%	353	309	67	10	2	7	35	98	6	3	1	217	309	330	639	113	295	28	10	283	86	-6	+0	+0	+4	+8	0.6
2035	27	MLB CTX	LAA	55%	347	303	67	10	2	7	35	97	6	3	1	221	314	337	651	116	295	28	10	284	86	-6	+0	+0	+4	+8	0.6
2036	28	MLB CTX	LAA	55%	341	298	66	10	2	7	34	96	6	3	1	221	314	339	653	117	295	28	10	283	86	-6	+0	-0	+4	+7	0.5
2037	29	MLB CTX	LAA	53%	327	285	61	9	2	6	33	92	6	3	1	214	309	323	631	109	294	28	10	281	85	-6	+0	-1	+4	+7	0.4
2038	30	MLB CTX	LAA	53%	316	276	60	9	2	6	32	90	5	2	1	217	310	330	640	112	293	28	10	279	83	-6	+0	-1	+3	+7	0.3
2039	31	MLB CTX	LAA	52%	306	267	57	8	2	6	31	88	5	2	1	213	307	326	633	112	291	29	10	275	80	-7	+0	-1	+3	+7	0.1
2040	32	MLB CTX	LAA	52%	295	258	54	8	2	5	30	86	5	2	1	209	304	314	618	105	288	29	10	270	77	-8	+0	-2	+3	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4049	3543	768	116	24	76	402	1141	70	33	12	217	309	327	636	111	295	28	10	278	81	-83	+2	-6	+43	+88	4.6
/ 162G	—	A+C		—	650	569	124	19	4	12	65	183	11	5	2	218	311	329	639	111	296	28	10	278	81	-13	+0	-1	+7	+14	0.7
Career	—	MLE		—	7611	6647	1427	217	44	138	769	2158	131	65	18	215	308	323	631	108	294	28	10	288	81	-155	+7	-10	+80	+162	8.6
/ 162G	—	MLE		—	650	568	123	19	4	12	66	184	11	6	2	217	310	327	638	111	296	28	10	288	81	-13	+1	-1	+7	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Bobby 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
#3Danny 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
#4Cliff 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
#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 8 projected seasons	6.3	4,151	75	34	217	306	326	+44	+24	7.3	6.3
/162	664	12	5	+7.1	+3.8	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
Jose Santana (OGILVIE)	18	—	—	—	—	194/285/261	67	287	1	1	31%	10%	61	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Andrés Nolaya 2023 · A	18	41	35→45	44→50	47	190/277/250	60	289	2	10	32%	10%	55	-2.0	190/259/257	67	295	3	15	34%	7%	49	-2.4	198/276/278	80	279	7	21	29%	7%	58	-0.6
✕Victor Heredia 2018 · A	18	45	38→50	49→30	42	211/275/293	82	307	6	6	31%	7%	62	-1.4	221/268/323	102	290	9	4	26%	5%	66	-1.1	221/264/326	105	281	10	1	25%	4%	67	-0.4
✕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
✕Hidekel Abreu 2016 · A	18	42	36→40	49→50	45	199/266/263	64	280	3	8	28%	8%	52	-2.2	223/284/304	81	293	5	10	24%	7%	68	-1.0	237/299/317	80	300	6	12	21%	8%	72	-0.3
✕Yairo Muñoz 2013 · A	18	41→51	37→45	48→55	41	195/247/274	79	274	2	8	29%	6%	47	-2.6	202/253/288	86	262	6	7	24%	6%	53	-2.1	263/305/392	130	320	14	17	22%	5%	92	+0.4
✕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
✕Carlos Cauro 2023 · A	18	42	36→45	45	41	193/263/257	64	306	3	5	35%	8%	50	-2.3	206/281/320	114	312	12	5	35%	8%	72	-0.7	198/283/308	110	288	14	4	34%	8%	69	-0.3
✕Ronaldo Hernández 2016 · A	18	44	37→50	50→45	43	208/271/281	73	270	4	6	23%	6%	58	-1.7	242/287/359	117	276	12	5	17%	5%	82	-0.0	243/286/377	134	275	16	5	18%	5%	84	+0.1
✕Dennys Riera 2023 · A	18	35	39→40	50	36	173/231/260	87	272	7	6	37%	6%	38	-3.2	172/242/246	74	249	5	6	31%	6%	40	-3.0	183/266/258	74	252	5	7	27%	5%	53	-0.5
✕Rodolfo Castro 2017 · A	18	43→41	38→55	48→50	43	202/265/291	89	290	5	5	30%	7%	58	-1.7	196/241/316	120	278	11	5	32%	5%	55	-2.0	206/269/359	153	269	19	7	30%	7%	74	-0.4
✕Brandon Valenzuela 2019 · A	18	42→52	35→45	47→40	45	192/272/253	61	303	3	4	35%	9%	53	-2.1	205/287/272	67	304	4	4	30%	10%	63	-1.4	200/281/304	104	289	10	2	32%	9%	65	-0.8
✕Aaron Familia 2017 · A	18	38	38→40	48→40	45	181/270/258	78	284	6	4	36%	9%	54	-2.0	187/273/272	85	333	6	4	41%	9%	58	-1.7	167/258/250	82	313	7	3	44%	9%	46	-0.7
✕Riley Unroe 2014 · A	18	42→48	37→45	51→55	47	196/275/269	72	289	3	9	31%	9%	57	-1.8	195/258/260	65	272	4	9	28%	7%	48	-2.5	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕Armando Sierra 2022 · A	18	45	37→45	41→40	41	211/271/282	71	309	4	4	31%	7%	58	-1.7	219/278/318	99	292	9	4	26%	7%	69	-0.9	214/272/321	107	278	11	2	26%	7%	65	-0.3
✕Hidekel Gonzalez 2015 · A	18	44	37→45	47→45	37	205/260/286	81	312	4	7	34%	5%	55	-2.0	227/275/314	87	287	6	8	22%	5%	67	-1.1	241/291/328	87	291	6	8	19%	4%	75	-0.2
✕Luis Vázquez 2019 · A	19	40→46	36→45	49→50	39	193/237/259	66	276	3	8	30%	5%	40	-3.1	205/251/277	72	282	5	10	28%	5%	49	-2.4	227/293/349	122	296	14	8	27%	6%	79	-0.1
✕Marco Guzman 2013 · A	18	37	35→45	47→50	47	176/257/242	66	244	2	8	26%	8%	45	-2.7	198/263/278	80	251	4	7	22%	8%	55	-2.0	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Guillermo Pimentel 2008 · A	18	40	37→40	45→55	39	190/264/262	72	298	5	8	36%	7%	52	-2.2	202/281/278	76	301	6	15	32%	8%	62	-1.4	192/271/258	67	293	7	17	34%	8%	52	-0.7
✕Yasmil Bucce 2023 · A	18	41	39→50	49→40	45	196/264/278	82	269	6	5	28%	8%	55	-1.9	200/286/292	92	306	7	4	34%	10%	68	-1.0	189/297/321	132	304	15	2	39%	12%	76	-0.2

Career Stats + Projections

Career Comps

Career Path Comps