Oliver Tejada

OF San Jose Giants

Age 20 R/R 5'9" / 189 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	18	ROKSF	230	.258/.376/.389	1	7	45	—	.181/.279/.271
2026	19	ASF	187	.215/.330/.399	7	4	53	—	.165/.259/.293
2026	19	ROKSF	83	.320/.386/.533	1	1	64	—	.221/.277/.364
2027PROJ0% MLB	20	MLBSF	380	.192/.267/.303	6	6	62	-0.6
2028PROJ34% MLB	21	MLBSF	112	.195/.271/.311	2	2	69	-0.2
2029PROJ48% MLB	22	MLBSF	204	.199/.276/.322	4	3	73	-0.3

Next 3 projected WAR -1.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

ISO74

Speed44

Z-Con%43

wOBA38

Whiff%37

wRC+35

Career WAR0 WAR median (P10 -0 / P90 3, comp-based) · star 0% · didn't stick 86%

CompsYunior Garcia (age 20) · Braulio Vasquez (age 20) · Jose Cordoba (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 258 proj PA

wRC+†62

AVG/OBP/SLG.191 / .265 / .301

PA258

HR4

K%32

BB%6

ISO111

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE30

scouting grade only

SPEED45

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
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	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-2M	+$0.0M

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. 2027 = actual YTD + projected ROS + total. 2028+ 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)
2024	17	ROK	DSL Giants Black	—	205	170	51	11	3	5	22	38	10	13	9	300	411	488	899	188	354	19	11	395	52	—	—	—	—	—	—
2025	18	ROK	ACL Giants	—	230	190	49	16	3	1	21	48	15	7	1	258	376	389	766	132	333	21	9	345	45	—	—	—	—	—	—
2026	19	A	San Jose Giants	—	187	158	34	8	0	7	19	53	8	4	0	215	330	399	728	184	270	28	10	327	53	—	—	—	—	—	—
2026	19	ROK	ACL Giants	—	83	75	24	9	2	1	4	16	4	1	2	320	386	533	919	213	397	19	5	403	64	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Giants Black	—	205	176	32	6	2	2	16	48	10	13	9	182	287	273	560	91	216	23	8	245	52	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	230	199	36	11	2	1	12	66	15	7	1	181	279	271	550	90	241	29	5	234	45	—	—	—	—	—	—
2026	19	A MLE	San Jose Giants	—	187	164	27	6	0	5	13	72	8	4	0	165	259	293	552	128	233	39	7	246	53	—	—	—	—	—	—
2026	19	ROK MLE	ACL Giants	—	83	77	17	6	1	1	2	23	4	1	2	221	277	364	641	143	288	28	2	263	64	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Black	—	205	176	32	6	2	2	16	48	10	13	9	182	287	273	560	91	233	23	8	245	52	—	—	—	—	—	—
2024	17	ROK RAW	DSL Giants Black	—	205	170	51	11	3	5	22	38	10	13	9	300	411	488	899	188	354	19	11	395	52	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	230	199	36	11	2	1	12	66	15	7	1	181	279	271	550	90	259	29	5	234	45	—	—	—	—	—	—
2025	18	ROK RAW	ACL Giants	—	230	190	49	16	3	1	21	48	15	7	1	258	376	389	766	132	333	21	9	345	45	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	270	240	43	12	1	6	16	95	12	5	2	179	265	312	577	133	262	35	6	251	56	—	—	—	—	—	—
2026	19	A RAW	2 teams	—	270	233	58	17	2	8	23	69	12	5	2	249	347	442	789	193	316	26	9	350	56	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Black	—	205	177	32	6	2	2	16	48	10	13	9	181	287	271	558	90	216	23	8	245	52	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	230	201	36	11	2	1	12	66	15	7	1	179	279	269	547	90	241	29	5	234	45	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	270	240	43	12	1	6	16	95	12	5	2	179	265	312	577	133	250	35	6	251	56	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Giants Black	—	205	177	32	6	2	2	16	48	10	13	9	181	287	271	558	90	216	23	8	245	52	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	230	201	36	11	2	1	12	66	15	7	1	179	279	269	547	90	241	29	5	234	45	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	270	240	43	12	1	6	16	95	12	5	2	179	265	312	577	133	250	35	6	251	56	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	SF	0%	380	342	66	17	2	6	22	121	13	6	2	192	267	303	571	111	275	32	6	260	62	-17	+0	+0	-2	+8	-0.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	SF	34%	327	293	58	14	2	6	20	101	11	5	1	198	274	319	593	121	277	31	6	269	69	-12	+1	+0	-2	+7	-0.7
2029	22	MLB MLE	SF	48%	422	379	76	19	2	8	26	128	14	7	2	203	279	330	610	127	279	30	6	276	73	-14	+1	+0	-3	+9	-0.6
2030	23	MLB MLE	SF	54%	483	433	89	21	3	10	31	144	16	8	2	206	283	338	621	132	280	30	6	281	76	-14	+1	+0	-3	+10	-0.5
2031	24	MLB MLE	SF	55%	524	469	98	23	3	11	34	153	16	9	2	210	286	344	631	135	282	29	6	285	79	-13	+1	+0	-3	+11	-0.4
2032	25	MLB MLE	SF	56%	546	489	103	24	3	12	36	158	16	9	2	212	288	349	637	137	282	29	7	287	80	-13	+1	+0	-3	+12	-0.3
2033	26	MLB MLE	SF	56%	558	499	105	25	3	12	37	161	17	9	3	211	288	348	637	137	282	29	7	287	80	-13	+1	+0	-3	+12	-0.4
2034	27	MLB MLE	SF	55%	560	501	105	25	3	12	37	162	17	9	3	210	287	346	633	135	281	29	7	285	79	-14	+1	+0	-3	+12	-0.4
2028	21	MLB CTX	SF	34%	112	100	20	5	1	2	7	35	4	2	1	195	271	311	583	116	274	31	6	265	69	-4	+0	+0	-1	+2	-0.2
2029	22	MLB CTX	SF	48%	204	182	37	9	1	4	13	62	7	3	1	199	276	322	598	123	275	30	6	272	73	-7	+0	+0	-1	+4	-0.3
2030	23	MLB CTX	SF	54%	262	235	47	12	1	5	17	78	8	4	1	203	280	329	609	127	277	30	6	276	76	-7	+0	+0	-2	+6	-0.3
2031	24	MLB CTX	SF	55%	290	260	54	13	2	6	19	85	9	5	1	206	283	335	618	129	278	29	7	280	79	-7	+1	+0	-2	+6	-0.2
2032	25	MLB CTX	SF	56%	306	274	57	14	2	6	20	88	9	5	1	208	285	339	625	131	279	29	7	282	80	-7	+1	+0	-2	+7	-0.2
2033	26	MLB CTX	SF	56%	314	281	59	14	2	7	21	91	9	5	1	208	285	339	624	131	278	29	7	282	80	-7	+1	+0	-2	+7	-0.2
2034	27	MLB CTX	SF	55%	310	277	58	14	2	6	21	90	9	5	1	207	284	336	620	130	278	29	7	281	79	-8	+1	+0	-2	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1798	1609	332	81	11	36	118	529	55	29	7	206	283	337	621	131	281	29	7	278	72	-48	+3	+0	-11	+39	-1.7
/ 162G	—	A+C		—	650	582	120	29	4	13	43	191	20	10	3	206	284	337	621	131	280	29	7	278	72	-17	+1	+0	-4	+14	-0.6
Career	—	MLE		—	4383	3910	789	191	25	84	280	1298	153	85	28	202	281	328	609	126	276	30	6	275	72	-104	+6	+0	-22	+80	-4.1
/ 162G	—	MLE		—	650	580	117	28	4	12	42	192	23	13	4	202	283	326	608	124	276	30	6	275	72	-18	+1	+0	-4	+14	-0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
#3Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#4Karim Garcia'95-'04 * career totals — 6 seasons, 1,560 PA	2.3	1,560	66	10	231*	269*	413*	-16	-3	-1.0	0.1
/162	664	28	4	-6.7	-1.3	-0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.1	2,057	42	33	207	281	339	-12	+0	-1.2	-0.6
/162	664	14	11	-4.0	+0.0	-0.4	pk7: 0
#5Rip Russell'39-'47 * career totals — 5 seasons, 1,522 PA	2.3	1,522	29	4	236*	279*	389*	-16	-12	-2.7	-2.7
/162	664	13	2	-6.9	-5.1	-1.2	pk7: -3
#6Howie Schultz'43-'48 * career totals — 6 seasons, 1,698 PA	2.6	1,698	24	15	233*	271*	383*	-30	-2	-3.6	-3.6
/162	664	9	6	-11.8	-0.7	-1.4	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
Oliver Tejada (OGILVIE)	20	40	30	45	30	191/265/301	110	275	4	4	32%	6%	62	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yunior Garcia 2021 · A	20	38→48	41→45	48→30	36	190/240/287	97	286	9	7	36%	5%	48	-2.5	223/273/336	113	325	11	4	33%	5%	72	-0.7	228/278/346	118	323	12	2	32%	5%	72	-0.3
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	75	292	5	11	30%	6%	53	-2.1	193/262/269	76	307	6	15	36%	7%	53	-2.1	189/270/268	79	286	5	32	33%	8%	53	-0.8
✕Jose Cordoba 2023 · A	20	37	41→40	44→55	40	185/250/278	93	262	9	9	32%	6%	50	-2.3	205/259/296	91	278	6	11	27%	6%	57	-1.8	203/257/294	91	267	4	15	24%	5%	53	-0.9
✕Dorssys Paulino 2015 · A	20	45→50	39→45	45	40	217/261/310	93	293	5	6	27%	5%	60	-1.6	233/284/338	105	312	8	8	26%	6%	76	-0.4	242/297/349	107	319	9	8	26%	6%	80	-0.1
✕Brandol Mezquita 2021 · A	20	42→52	37→30	47→50	40	191/266/257	65	310	5	9	37%	8%	51	-2.2	208/272/284	76	350	5	13	39%	7%	59	-1.7	199/263/270	72	337	4	14	39%	6%	51	-1.0
✕Jose Meza 2023 · A	20	37→42	39→40	48→50	44	183/255/263	80	245	6	10	27%	7%	49	-2.4	199/291/294	95	292	8	8	32%	10%	70	-0.8	186/290/280	94	280	9	10	33%	11%	66	-0.7
✕Edgar Corcino 2012 · A	20	34→44	40→45	44→45	37	172/232/256	83	269	8	6	37%	6%	38	-3.2	199/254/295	96	301	9	6	35%	6%	55	-2.0	232/277/343	111	292	10	4	23%	5%	73	-0.4
✕Noel Cuevas 2012 · A	20	42→52	42→45	48→55	37	209/244/317	108	280	9	11	29%	4%	55	-1.9	222/266/327	105	284	8	19	24%	5%	66	-1.1	254/287/363	108	316	8	12	22%	3%	80	-0.1
✕Denzer Guzman 2024 · A	20	39→49	40→45	48→50	39	191/246/287	96	288	7	7	35%	7%	50	-2.3	209/268/322	113	303	11	10	33%	7%	67	-1.1	217/278/341	124	295	14	11	30%	7%	72	-0.6
✕Roberto Campos 2023 · A	20	45→48	42→45	49→45	40	216/267/323	108	307	8	6	31%	6%	65	-1.2	223/273/333	110	314	8	7	30%	6%	70	-0.8	226/285/332	106	319	8	7	30%	7%	73	-0.4
✕Sammy Hernandez 2024 · A	20	37	43→40	51→50	40	188/254/301	113	262	11	5	31%	6%	57	-1.8	203/291/298	95	270	8	9	26%	9%	71	-0.8	201/300/298	97	262	9	13	24%	10%	72	-0.4
✕Angel Tejada 2024 · A	20	45	40	44→60	37	215/267/311	96	295	7	8	29%	4%	63	-1.3	199/237/282	83	274	7	22	29%	4%	45	-2.7	180/209/248	68	244	6	35	28%	3%	24	-1.5
✕Michael Almanzar 2011 · A	20	40→50	38→45	46→45	36	196/235/277	81	273	6	4	30%	4%	43	-2.8	211/249/309	98	279	9	6	27%	4%	56	-1.9	243/289/370	127	299	13	8	23%	5%	83	+0.0
✕Albert Laboy 2007 · A	20	40→38	38→40	48→45	41	193/236/269	76	242	5	10	22%	5%	42	-2.9	218/264/308	90	260	9	7	19%	5%	61	-1.5	215/263/301	86	251	10	6	18%	5%	57	-1.0
✕Brian Mathews 2008 · A	20	45	41→40	49→45	40	219/263/316	97	289	9	7	27%	5%	63	-1.4	199/268/289	90	265	7	7	26%	8%	59	-1.6	168/262/260	92	218	6	6	24%	10%	49	-1.2
✕Wuilmer Becerra 2015 · A	20	43→52	40→45	44→50	35	205/261/295	90	318	8	8	36%	5%	58	-1.7	237/278/330	93	338	8	10	30%	5%	72	-0.7	239/283/321	82	349	6	11	31%	4%	68	-0.7
✕Anderson De Los Santos 2024 · A	20	39→38	40	43→50	40	192/247/282	89	269	7	8	30%	6%	49	-2.4	183/261/280	97	274	9	12	34%	9%	55	-1.9	173/266/275	101	253	10	13	33%	10%	53	-1.5
✕Yu Chang 2016 · A	20	41→47	42→50	45	38	205/254/311	106	279	10	6	30%	5%	59	-1.7	206/263/350	144	289	15	8	33%	6%	72	-0.7	217/278/367	150	284	17	4	29%	7%	81	-0.0
✕Tim Kennelly 2007 · A	20	44→52	40	48→40	45	213/275/311	98	279	7	7	25%	7%	67	-1.1	222/279/315	93	303	5	6	26%	7%	69	-0.9	239/299/330	91	299	5	4	20%	6%	77	-0.2
✕Luis Verdugo 2021 · A	20	42→48	41→40	49→45	41	205/254/299	94	275	9	8	28%	6%	55	-1.9	197/247/287	90	277	7	5	30%	6%	50	-2.3	211/265/294	82	268	6	4	22%	6%	57	-1.2

Oliver Tejada

Career Stats + Projections

Career Comps

Career Path Comps