Oliver Tejada — OGILVIE

Oliver TejadaOF San Jose Giants

Age 19 R/R 5'9" / 189 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION270 act + 9 ros · stats below = ROS only

showingROS

wRC+†65

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

PA9

HR0

K%33

BB%11

BABIP263

ISO101

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$5M 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 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	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-2	$1M	—	—	—
2036	Arb-3	$1.0M	—	—	—
Totals		$0.0M		$0.3M	+$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. 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)
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	154	+13	-1	—	—	+4	1.7
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	120	+5	+1	—	—	+5	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Giants Black	—	205	178	37	7	2	3	14	56	10	13	9	208	302	320	622	112	261	27	7	271	70	-7	-1	—	—	+4	-0.4
2025	18	ROK MLE	ACL Giants	—	230	199	36	11	2	1	12	66	15	7	1	181	279	271	550	90	239	29	5	233	44	-15	+1	—	—	+5	-1.0
2024	17	ROK MLE	DSL Giants Black	—	205	178	37	7	2	3	14	56	10	13	9	208	302	320	622	112	279	27	7	271	70	—	—	—	—	—	—
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	70	—	—	—	—	—	—
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	233	44	—	—	—	—	—	—
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	44	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Black	—	205	179	37	7	2	3	14	56	10	13	9	207	302	318	620	112	261	27	7	271	70	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	230	201	36	11	2	1	12	66	15	7	1	179	279	269	547	90	239	29	5	233	44	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Giants Black	—	205	179	37	7	2	3	14	56	10	13	9	207	302	318	620	112	261	27	7	271	70	—	—	—	—	—	—
2025	18	ROK MLE	ACL Giants	—	230	201	36	11	2	1	12	66	15	7	1	179	279	269	547	90	239	29	5	233	44	—	—	—	—	—	—
YTD	19	A MLE	SF	—	270	240	43	11	1	7	16	94	12	5	2	179	265	321	586	142	255	35	6	254	58	-14	+0	+0	-2	+6	-0.9
▸ 2026 season
YTD	19	ROK RAW	SF	—	83	75	24	9	2	1	4	16	4	1	2	320	386	533	919	213	397	19	5	403	58	—	—	—	—	—	—
YTD	19	A RAW	SF	—	187	158	34	8	0	7	19	53	8	4	0	215	330	399	728	184	270	28	10	327	58	—	—	—	—	—	—
ROS	19	A MLE	SF	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		268	33	11	264	65	-0	+0	+0	-0	+0	-0.0
TOT	19	A MLE	SF	—	279	248	44	11	1	7	17	97	12	5	2	177	264	315	578	137	253	35	6	254	58	-14	+0	+0	-2	+6	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	SF	34%	331	296	58	14	2	6	21	99	11	5	2	196	274	318	592	122	272	30	6	275	72	-11	+0	+0	-2	+7	-0.6
2028	21	MLB MLE	SF	48%	432	385	80	19	3	9	29	125	15	7	2	208	289	343	632	135	275	29	7	283	78	-11	+1	+0	-3	+9	-0.4
2029	22	MLB MLE	SF	54%	502	447	95	22	3	12	34	142	16	8	3	213	292	356	647	143	277	28	7	289	82	-11	+0	+0	-3	+11	-0.3
2030	23	MLB MLE	SF	57%	546	485	103	24	3	13	38	152	18	9	3	212	294	355	649	142	278	28	7	293	85	-10	+1	+0	-3	+12	-0.1
2031	24	MLB MLE	SF	57%	574	511	109	25	3	14	40	159	18	9	3	213	293	356	650	143	278	28	7	295	86	-10	+1	+0	-3	+12	0.0
2032	25	MLB MLE	SF	60%	590	524	112	26	3	15	42	163	19	9	3	214	296	361	656	147	278	28	7	297	87	-9	+1	+0	-4	+13	0.1
2033	26	MLB MLE	SF	62%	597	531	113	26	3	15	42	165	19	10	3	213	294	358	652	145	278	28	7	297	87	-9	+1	+0	-4	+13	0.1
2034	27	MLB MLE	SF	63%	597	530	113	26	3	15	43	165	19	10	4	213	296	358	654	145	278	28	7	297	87	-9	+0	+0	-4	+13	0.1
2035	28	MLB MLE	SF	65%	592	525	112	26	3	15	43	165	19	9	3	213	296	360	656	147	277	28	7	296	87	-9	+1	-1	-4	+13	-0.0
2036	29	MLB MLE	SF	65%	582	515	109	25	3	14	43	163	19	9	3	212	296	353	650	142	277	28	7	294	85	-10	+1	-1	-3	+13	-0.2
2037	30	MLB MLE	SF	65%	572	507	106	24	3	14	42	162	18	8	3	209	293	351	644	142	275	28	7	291	83	-11	+0	-2	-3	+12	-0.4
2027	20	MLB CTX	SF	34%	114	102	20	5	1	2	7	34	4	2	1	196	274	324	598	127	267	30	6	243	72	-4	+0	+0	-1	+2	-0.2
2028	21	MLB CTX	SF	48%	209	186	37	9	1	4	14	60	7	3	1	199	280	323	603	124	269	29	7	252	78	-5	+0	+0	-1	+5	-0.2
2029	22	MLB CTX	SF	54%	272	242	51	12	2	6	19	77	9	4	2	211	293	351	644	140	271	28	7	259	82	-6	+0	+0	-2	+6	-0.2
2030	23	MLB CTX	SF	57%	309	275	57	13	2	7	21	86	10	5	2	207	288	345	633	138	272	28	7	263	85	-6	+0	+0	-2	+7	-0.1
2031	24	MLB CTX	SF	57%	325	289	61	14	2	8	23	90	10	5	2	211	292	356	648	145	273	28	7	265	86	-5	+0	+0	-2	+7	-0.0
2032	25	MLB CTX	SF	60%	356	316	66	15	2	8	25	98	12	6	2	209	292	345	637	136	273	28	7	266	87	-6	+0	+0	-2	+8	0.0
2033	26	MLB CTX	SF	62%	373	332	70	16	2	9	26	103	12	6	2	211	292	352	644	142	273	28	7	266	87	-6	+0	+0	-2	+8	0.1
2034	27	MLB CTX	SF	63%	379	337	70	16	2	9	27	105	12	6	2	208	290	347	637	139	272	28	7	266	87	-6	+0	+0	-2	+8	0.1
2035	28	MLB CTX	SF	65%	385	342	71	16	2	9	28	107	12	6	2	208	291	345	636	137	272	28	7	265	87	-6	+0	-0	-2	+8	-0.0
2036	29	MLB CTX	SF	65%	378	335	70	16	2	9	28	106	12	6	2	209	293	349	643	140	271	28	7	264	85	-7	+0	-1	-2	+8	-0.1
2037	30	MLB CTX	SF	65%	372	330	67	15	2	8	27	105	12	5	2	203	287	333	621	130	270	28	7	261	83	-7	+0	-1	-2	+8	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3472	3086	640	147	20	79	245	971	112	54	20	207	290	345	634	137	273	28	7	263	82	-63	+3	-3	-21	+75	-0.9
/ 162G	—	A+C		—	650	578	121	28	4	15	46	182	21	10	4	209	292	349	641	140	275	28	7	263	82	-12	+1	-1	-4	+14	-0.2
Career	—	MLE		—	6359	5641	1184	275	36	146	444	1785	216	113	42	210	293	349	642	139	277	28	7	290	82	-112	+6	-4	-36	+128	-1.8
/ 162G	—	MLE		—	650	577	121	28	4	15	45	182	22	12	4	210	292	350	642	140	276	28	7	290	82	-12	+1	-0	-4	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon 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
#2Michael 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
#3Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#4Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.6	3,711	88	58	212	291	355	-22	+0	1.2	1.5
/162	664	16	10	-4.0	+0.0	0.2	pk7: 2
#5Jake 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
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1

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)	19	40	30	45	30	189/269/303	114	268	4	4	31%	6%	65	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Jenner Emeterio 2013 · A	20	45	38→30	48→60	46	214/278/297	83	284	5	13	26%	8%	64	-1.3	217/304/278	61	289	3	24	23%	10%	70	-0.8	216/317/260	44	285	1	34	22%	12%	69	-0.4
✕Jose Cordoba 2022 · A	19	40	40	46→55	38	195/253/280	85	273	7	8	30%	5%	51	-2.2	200/258/297	97	283	8	10	31%	6%	57	-1.8	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Albert Hernandez 2008 · A	19	43	39→40	49→45	46	207/270/299	92	260	6	7	22%	7%	62	-1.4	226/286/317	91	285	6	7	22%	6%	72	-0.7	230/289/314	84	291	6	6	22%	6%	70	-0.2
✕Felix G. Santana 2015 · A	20	46	37→40	47→50	41	215/279/288	73	293	4	10	26%	5%	63	-1.4	218/270/308	90	289	6	7	26%	5%	64	-1.3	224/254/306	82	289	7	0	24%	2%	53	-0.5
✕Deiber Olivera 2012 · A	19	44	38→40	50→45	44	210/259/296	86	269	4	8	23%	6%	56	-1.9	236/277/312	76	275	3	7	15%	4%	67	-1.1	255/291/322	67	289	2	7	12%	3%	73	-0.2
✕Jose Bellorin 2010 · A	19	43	38→40	48→50	39	207/257/287	81	288	5	10	29%	5%	54	-2.0	216/271/299	83	268	6	10	21%	6%	62	-1.4	219/276/293	74	257	6	10	17%	6%	61	-0.5
✕Raul Juarez 2017 · A	19	42	41→45	42→40	41	208/273/305	97	268	9	6	25%	5%	65	-1.2	204/257/279	75	279	6	5	28%	5%	53	-2.1	180/221/220	41	250	4	2	29%	3%	23	-0.9
✕Andres Martinez 2014 · A	19	43	37→30	47→45	42	200/267/273	74	300	4	8	33%	7%	55	-2.0	211/277/277	66	288	3	9	25%	7%	59	-1.6	206/276/260	54	277	1	10	24%	7%	52	-0.6
✕Guillermo Pimentel 2009 · A	19	44	39→40	48→55	47	209/298/288	79	282	7	17	26%	8%	72	-0.7	199/266/274	75	324	6	12	37%	7%	55	-1.9	172/232/231	59	310	6	11	43%	7%	30	-1.1
✕Jimmy Mojica 2019 · A	19	44	36→40	46→50	40	207/258/276	69	268	4	8	24%	4%	51	-2.2	205/258/280	75	272	5	7	25%	5%	53	-2.1	182/238/250	68	239	6	5	25%	4%	38	-0.9
✕Jose Meza 2022 · A	19	42→40	39→45	46→50	40	196/273/280	84	306	6	9	35%	7%	59	-1.6	206/288/309	103	298	10	7	32%	9%	72	-0.7	199/290/309	111	287	11	5	32%	10%	72	-0.3
✕Juan Alonso 2022 · A	18	42→35	37→40	43→50	40	196/257/268	72	295	4	10	33%	6%	50	-2.3	186/284/265	79	353	5	9	43%	10%	61	-1.5	159/271/236	77	335	5	7	47%	10%	49	-1.0
✕Juan Rodriguez 2015 · A	20	45	38→45	46→55	41	217/264/301	85	288	5	8	26%	6%	59	-1.6	241/278/336	95	291	6	14	18%	5%	72	-0.7	280/305/386	106	318	6	22	14%	4%	90	+0.2
✕Mikey Edie 2016 · A	19	48	35→30	49→50	42	224/295/281	56	296	3	13	24%	5%	68	-1.0	212/267/270	58	314	2	15	31%	4%	54	-2.0	183/233/236	53	275	2	10	32%	3%	30	-1.5
✕Rudy van Heydoorn 2008 · A	19	37	38→45	46→50	37	179/239/262	83	292	6	10	38%	7%	42	-2.9	183/273/286	103	276	11	8	35%	9%	62	-1.4	165/268/271	106	240	13	6	34%	10%	56	-0.6
✕Robedluis Fuentes 2008 · A	19	41	37→30	53→45	45	197/263/267	70	262	4	12	25%	7%	53	-2.1	230/290/284	54	281	3	7	18%	6%	65	-1.2	243/302/283	40	290	2	5	16%	6%	68	-0.4
✕Ivan Gonzalez 2015 · A	19	47	38→40	45→50	44	221/272/301	80	266	4	10	18%	5%	63	-1.4	219/270/297	78	290	4	12	24%	6%	61	-1.5	253/300/334	81	307	5	17	18%	5%	80	-0.1
✕Randy Romero 2019 · A	19	43	36→40	50→60	45	203/252/272	69	247	3	12	19%	6%	49	-2.4	229/271/302	73	269	3	22	15%	5%	61	-1.5	223/260/286	62	276	2	30	19%	4%	54	-0.6
✕Efrain Contreras 2006 · A	19	43	37→45	49→55	41	202/261/275	74	285	4	9	29%	6%	53	-2.1	224/289/333	109	269	10	13	20%	5%	77	-0.3	225/291/340	115	260	12	15	18%	5%	79	-0.1

Career Stats + Projections

Career Comps

Career Path Comps