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

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Giants Bl…	205	.300/.411/.488	5	13	52	—	.182/.287/.273
2025	18	ROKSF	230	.258/.376/.389	1	7	45	—	.181/.279/.271
2026	19	A/ROKSF	270	.249/.347/.442	8	5	56	—	.182/.265/.314
2027PROJMLE	20	MLBSF	380	.192/.267/.303	6	6	62	-0.3
2028PROJ34% MLB	21	MLBSF	74	.195/.271/.311	1	1	69	-0.1

Next 2 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.0M2031Ext$0.0M2032Ext$0.9M2033Ext$0.9M2034Ext$1.0M+3

Skills · percentileMiLB Statcast 2026 A

ISO74

Speed44

Z-Con%43

wOBA38

Whiff%37

wRC+35

Career WAR0.0 WAR median (P10 -0.2 / P90 3.4, comp-based) · star 0% · didn't stick 86%

CompsJose Cordoba (age 20) · Jose Meza (age 20) · Braulio Vasquez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 160 proj PA

wRC+†62

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

PA160

HR2

K%32

BB%6

ISO111

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

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	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
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		$0.0M	+$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 = full-season projection (no games played yet). 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	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	SF	34%	216	194	39	10	1	4	13	67	7	3	1	198	274	319	593	121	277	31	6	269	69	-8	+0	+0	-1	+5	-0.5
2028	21	MLB CTX	SF	34%	74	67	12	3	0	1	4	23	3	1	0	195	271	311	583	116	274	31	5	265	69	-3	+0	+0	-0	+2	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	74	67	12	3	0	1	4	23	3	1	0	179	257	269	525	90	256	31	5	265	56	-3	+0	+0	-0	+2	-0.1
/ 162G	—	A+C		—	650	589	105	26	0	9	35	202	26	9	0	178	255	268	524	90	254	31	5	265	56	-24	+2	+0	-4	+14	-1.3
Career	—	MLE		—	1081	953	177	46	7	15	66	327	50	30	14	186	274	296	570	110	261	30	6	251	56	-15	+0	+0	-2	+8	-0.9
/ 162G	—	MLE		—	650	573	107	28	4	9	40	197	30	18	8	187	275	297	572	110	263	30	6	251	56	-26	+0	+0	-4	+14	-1.6

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ASan Jose Giants · 187 PAwOBA .322 → .246 (−77)K% 28.3% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.34%	÷1.000	×1.360	—	—	38.55%
BB% (unintentional) /PA	10.16%	÷1.000	×0.690	—	×1.030	7.22%
HBP% /PA	4.28%	—	×0.780	—	×1.030	3.44%
Singles /BIP	18.10%	÷1.000	×0.920	×0.953	×1.030	16.35%
Doubles /BIP	7.62%	÷1.000	×0.830	×0.953	×1.030	6.21%
Triples /BIP	0.00%	÷1.000	×0.910	×0.953	×1.030	0.00%
Home runs /BIP	6.67%	÷1.000	×0.800	—	×1.030	5.49%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.953.

Result: wOBA .322 → .246; ISO .184 → .136; BABIP .270 → .233. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 ROKACL Giants · 83 PAwOBA .392 → .263 (−129)K% 19.3% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.28%	÷1.000	×1.440	—	—	27.76%
BB% (unintentional) /PA	4.82%	÷1.000	×0.620	—	×0.995	2.97%
HBP% /PA	4.82%	—	×0.720	—	×0.995	3.45%
Singles /BIP	20.34%	÷1.000	×0.820	×0.950	×0.995	15.76%
Doubles /BIP	15.25%	÷1.000	×0.720	×0.950	×0.995	10.38%
Triples /BIP	3.39%	÷1.000	×0.720	×0.950	×0.995	2.31%
Home runs /BIP	1.69%	÷1.000	×0.780	—	×0.995	1.32%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .392 → .263; ISO .213 → .138; BABIP .397 → .288. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ROKACL Giants · 230 PAwOBA .341 → .234 (−107)K% 20.9% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.87%	÷1.045	×1.440	—	—	28.75%
BB% (unintentional) /PA	9.13%	÷1.070	×0.620	—	×1.008	5.33%
HBP% /PA	6.52%	—	×0.720	—	×1.008	4.73%
Singles /BIP	20.42%	÷1.042	×0.820	×0.952	×1.008	15.42%
Doubles /BIP	11.27%	÷1.001	×0.720	×0.952	×1.008	7.77%
Triples /BIP	2.11%	÷1.150	×0.720	×0.952	×1.008	1.27%
Home runs /BIP	0.70%	÷1.128	×0.780	—	×1.008	0.49%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 108, 2B 100, 3B 130, K 109, BB 114 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.952.

Result: wOBA .341 → .234; ISO .132 → .087; BABIP .333 → .241. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL Giants Black · 205 PAwOBA .391 → .245 (−146)K% 18.5% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.54%	÷0.977	×1.220	—	—	23.15%
BB% (unintentional) /PA	10.73%	÷0.971	×0.700	—	×1.008	7.79%
HBP% /PA	4.88%	—	×0.700	—	×1.008	3.44%
Singles /BIP	24.24%	÷0.982	×0.680	×0.950	×1.008	16.06%
Doubles /BIP	8.33%	÷1.057	×0.600	×0.950	×1.008	4.53%
Triples /BIP	2.27%	÷1.127	×0.600	×0.950	×1.008	1.16%
Home runs /BIP	3.79%	÷1.092	×0.470	—	×1.008	1.64%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 96, 2B 111, 3B 125, K 95, BB 94 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .391 → .245; ISO .188 → .093; BABIP .354 → .216. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris 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
#2John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#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
#4Jimmy Stewart'63-'73 * career totals — 8 seasons, 1,602 PA	2.4	1,602	8	38	235*	309*	329*	-1	+2	-0.2	0.5
/162	664	3	16	-0.4	+0.7	-0.1	pk7: 1
#5Dave McCarty'93-'05 * career totals — 9 seasons, 1,647 PA	2.5	1,647	36	9	233*	295*	365*	-26	+16	-1.1	0.5
/162	664	15	4	-10.5	+6.6	-0.4	pk7: 2
#6Karim 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 1 projected seasons	0.4	234	4	4	195	267	310	-1	+0	-0.4	-0.2
/162	664	10	10	-4.0	+0.0	-1.1	pk7: 0

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	2	2	32%	6%	62	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕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
✕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
✕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
✕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
✕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
✕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
✕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
✕Pablo Olivares 2018 · A	20	44	36→40	49→50	43	207/279/278	72	283	3	10	26%	6%	61	-1.5	227/298/305	78	294	6	13	23%	6%	74	-0.5	220/297/294	73	283	5	14	22%	7%	68	-0.5
✕Eliezer Mesa 2009 · A	20	39→49	38→40	47→55	35	190/230/266	76	276	5	6	32%	4%	38	-3.2	226/259/304	78	301	2	14	25%	4%	57	-1.8	239/272/318	79	312	1	18	23%	4%	61	-0.8
✕Victor Estevez 2009 · A	20	42	39→30	47→45	37	196/256/278	82	310	6	7	37%	6%	52	-2.2	204/253/266	62	295	3	5	30%	4%	48	-2.5	199/245/248	49	284	2	4	29%	4%	37	-1.8
✕Roismar Quintana 2023 · A	20	44	43→30	48→40	36	214/267/324	111	308	11	6	33%	5%	67	-1.1	205/265/282	77	313	6	3	34%	7%	56	-1.9	194/254/257	63	292	5	2	33%	7%	44	-1.4
✕Kyle Nevin 2023 · A	21	41→40	40	52→50	39	199/251/297	98	277	6	10	29%	5%	54	-2.0	219/276/320	101	333	8	10	34%	7%	69	-0.9	214/275/310	96	327	9	12	35%	7%	64	-0.8
✕Yeison Santana 2022 · A	21	43	37→30	45→55	39	200/262/271	71	316	5	10	36%	7%	52	-2.2	221/289/285	64	313	3	15	28%	8%	66	-1.1	229/310/271	42	311	2	22	24%	10%	67	-0.6
✕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
✕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
✕Darwin Rivera 2012 · A	20	39	40	40→30	35	195/234/282	87	285	8	3	34%	4%	44	-2.8	200/246/284	84	282	7	3	30%	5%	49	-2.4	189/236/264	76	258	7	0	28%	5%	39	-1.0
✕Armando Sierra 2024 · A	20	42	39→40	42→40	47	204/271/287	83	267	6	4	25%	8%	60	-1.6	209/260/307	98	311	8	5	33%	6%	59	-1.6	193/225/303	110	284	12	0	36%	3%	44	-0.5
✕Imbewer Alvarez 2007 · A	21	39	38→40	45→55	39	187/243/268	81	270	4	8	31%	6%	45	-2.7	194/262/265	71	270	4	15	28%	7%	51	-2.2	186/265/247	62	244	4	22	24%	8%	47	-0.7

Oliver Tejada

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps