Javier Herrera — OGILVIE

Javier HerreraSS Ontario Tower Buzzers

Age 21 S/R 5'10" / 160 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION321 act + 10 ros · stats below = ROS only

showingROS

wRC+†77

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP293

ISO92

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$29M ctrl surplus

Tools · ContractCON 47 / POW 40

Toolsscout grade

CONTACT47

scouting grade only

POWER40

scouting grade only

EYE65

scouting grade only

SPEED60

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	+0.7	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2034	Arb-1	$3M	+0.6	$1M	+$0.1M
2035	Arb-2	$4M	+0.5	$1M	+$0.0M (cut)
2036	Arb-3	$5M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$8M	+$4M

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)
2023	18	ROK	DSL LAD Mega	—	147	122	29	4	3	4	22	38	2	7	2	238	363	418	781	180	309	26	15	350	123	+4	+1	—	—	+3	0.8
2024	19	ROK	DSL LAD Bautista	—	200	146	42	7	5	4	50	30	2	20	4	288	475	486	961	199	333	15	25	426	175	+18	+2	—	—	+4	2.5
2025	20	ROK	ACL Dodgers	—	120	102	35	6	1	0	15	21	2	6	4	343	437	422	859	78	427	18	12	388	149	+7	-0	—	—	+3	0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL LAD Mega	—	147	131	20	3	2	2	13	56	2	7	2	153	240	252	492	99	230	38	9	218	34	-12	+1	—	—	+3	-0.8
2024	19	ROK MLE	DSL LAD Bautista	—	200	166	35	6	3	3	30	43	2	20	4	211	338	337	676	127	258	22	15	305	93	-2	+2	—	—	+4	0.5
2025	20	ROK MLE	ACL Dodgers	—	120	108	26	4	1	0	9	30	2	6	4	241	311	296	607	56	323	25	8	268	68	-5	-0	—	—	+3	-0.2
2023	18	ROK MLE	DSL LAD Mega	—	147	131	20	3	2	2	13	56	2	7	2	153	240	252	492	99	243	38	9	218	34	—	—	—	—	—	—
2023	18	ROK RAW	DSL LAD Mega	—	147	122	29	4	3	4	22	38	2	7	2	238	363	418	781	180	309	26	15	350	34	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Bautista	—	200	166	35	6	3	3	30	43	2	20	4	211	338	337	676	127	262	22	15	305	93	—	—	—	—	—	—
2024	19	ROK RAW	DSL LAD Bautista	—	200	146	42	7	5	4	50	30	2	20	4	288	475	486	961	199	333	15	25	426	93	—	—	—	—	—	—
2025	20	ROK MLE	ACL Dodgers	—	120	108	26	4	1	0	9	30	2	6	4	241	311	296	607	56	329	25	8	268	68	—	—	—	—	—	—
2025	20	ROK RAW	ACL Dodgers	—	120	102	35	6	1	0	15	21	2	6	4	343	437	422	859	78	427	18	12	388	68	—	—	—	—	—	—
2023	18	ROK MLE	DSL LAD Mega	—	147	131	20	3	2	2	13	56	2	7	2	153	240	252	492	99	230	38	9	218	34	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Bautista	—	200	166	35	6	3	3	30	43	2	20	4	211	338	337	676	127	258	22	15	305	93	—	—	—	—	—	—
2025	20	ROK MLE	ACL Dodgers	—	120	108	26	4	1	0	9	30	2	6	4	241	311	296	607	56	323	25	8	268	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL LAD Mega	—	147	131	20	3	2	2	13	56	2	7	2	153	240	252	492	99	230	38	9	218	34	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Bautista	—	200	166	35	6	3	3	30	43	2	20	4	211	338	337	676	127	258	22	15	305	93	—	—	—	—	—	—
2025	20	ROK MLE	ACL Dodgers	—	120	108	26	4	1	0	9	30	2	6	4	241	311	296	607	56	323	25	8	268	68	—	—	—	—	—	—
YTD	21	A MLE	LAD	—	321	280	61	9	4	3	32	98	4	14	3	218	307	311	618	93	319	31	10	277	74	-10	+2	+0	+3	+7	0.2
▸ 2026 season
YTD	21	ROK RAW	LAD	—	45	38	11	2	1	1	5	11	2	0	1	289	400	474	874	184	385	24	11	390	74	—	—	—	—	—	—
YTD	21	A RAW	LAD	—	276	229	61	10	4	3	40	61	2	14	2	266	380	384	764	118	345	22	14	343	74	—	—	—	—	—	—
ROS	21	A MLE	LAD	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		299	30	10	281	77	-0	+0	+0	+0	+0	0.0
TOT	21	A MLE	LAD	—	331	289	62	9	4	3	33	101	4	14	3	215	304	304	608	90	314	31	10	277	74	-10	+2	+0	+4	+7	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAD	34%	320	281	62	10	3	5	33	86	3	8	2	221	309	331	640	110	299	27	10	293	84	-6	+1	+0	+3	+7	0.5
2028	23	MLB MLE	LAD	48%	402	354	80	13	4	7	41	105	4	10	3	226	313	345	658	119	299	26	10	299	89	-5	+1	+0	+4	+9	0.9
2029	24	MLB MLE	LAD	53%	454	401	92	15	4	9	46	117	4	11	3	229	315	354	669	125	300	26	10	304	92	-5	+1	+0	+5	+10	1.1
2030	25	MLB MLE	LAD	55%	478	421	97	16	4	10	49	122	5	12	3	230	318	359	677	128	299	26	10	306	93	-4	+1	+0	+5	+10	1.3
2031	26	MLB MLE	LAD	56%	493	435	100	17	4	10	50	126	5	12	3	230	316	356	673	126	299	26	10	306	93	-4	+1	+0	+5	+11	1.4
2032	27	MLB MLE	LAD	55%	495	436	100	17	4	10	51	127	5	12	3	229	317	356	673	126	299	26	10	306	93	-4	+1	+0	+5	+11	1.4
2033	28	MLB MLE	LAD	55%	492	433	99	17	4	10	51	127	5	12	3	229	317	356	673	127	299	26	10	305	93	-4	+1	-1	+5	+11	1.2
2034	29	MLB MLE	LAD	53%	483	424	97	16	4	10	51	126	5	11	3	229	319	356	675	127	298	26	11	304	92	-5	+1	-1	+5	+10	1.1
2035	30	MLB MLE	LAD	53%	473	415	94	16	4	9	50	124	5	10	3	227	317	349	666	123	297	26	11	301	90	-6	+1	-2	+5	+10	0.9
2036	31	MLB MLE	LAD	56%	460	405	90	15	4	8	48	122	4	10	2	222	311	338	649	116	295	27	10	297	87	-7	+1	-3	+5	+10	0.6
2037	32	MLB MLE	LAD	59%	442	389	86	14	4	8	46	119	4	9	2	221	310	339	649	118	292	27	10	292	84	-9	+1	-4	+5	+10	0.3
2038	33	MLB MLE	LAD	61%	412	362	77	12	3	7	43	113	4	7	2	213	303	320	624	108	289	27	10	286	80	-10	+1	-4	+4	+9	-0.0
2027	22	MLB CTX	LAD	34%	110	97	21	3	1	2	11	29	1	3	1	216	303	330	633	113	293	26	10	282	84	-2	+0	+0	+1	+2	0.2
2028	23	MLB CTX	LAD	48%	195	171	39	6	2	4	20	51	2	5	1	228	316	357	673	129	294	26	10	289	89	-3	+1	+0	+2	+4	0.4
2029	24	MLB CTX	LAD	53%	239	211	48	8	2	5	24	62	2	6	1	227	312	355	668	128	294	26	10	294	92	-2	+1	+0	+3	+5	0.6
2030	25	MLB CTX	LAD	55%	262	230	53	9	2	6	27	67	3	7	2	230	319	365	684	135	294	26	10	296	93	-2	+1	+0	+3	+6	0.7
2031	26	MLB CTX	LAD	56%	274	241	55	9	2	6	28	70	3	7	2	228	316	357	673	129	294	26	10	296	93	-2	+1	+0	+3	+6	0.7
2032	27	MLB CTX	LAD	55%	272	239	55	9	2	6	28	70	3	7	2	230	319	360	678	130	294	26	10	296	93	-2	+1	+0	+3	+6	0.7
2033	28	MLB CTX	LAD	55%	269	236	54	9	2	6	28	69	3	6	2	229	318	360	679	131	294	26	10	295	93	-2	+0	-0	+3	+6	0.7
2034	29	MLB CTX	LAD	53%	258	226	50	8	2	5	27	67	3	6	1	221	312	341	653	119	293	26	10	294	92	-3	+1	-1	+3	+6	0.6
2035	30	MLB CTX	LAD	53%	249	219	49	8	2	5	26	65	2	5	1	224	312	347	659	123	292	26	10	291	90	-3	+1	-1	+3	+5	0.5
2036	31	MLB CTX	LAD	56%	260	228	50	8	2	5	27	69	3	5	1	219	310	338	648	118	290	27	10	288	87	-4	+1	-2	+3	+6	0.4
2037	32	MLB CTX	LAD	59%	261	230	50	8	2	5	27	70	2	5	1	217	305	335	640	117	287	27	10	283	84	-5	+1	-2	+3	+6	0.2
2038	33	MLB CTX	LAD	61%	251	221	46	7	2	4	26	69	2	5	1	208	297	312	609	104	284	27	10	276	80	-6	+1	-3	+3	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2900	2549	570	92	23	59	299	758	29	67	16	224	312	347	659	124	293	26	10	291	88	-36	+7	-8	+31	+63	5.7
/ 162G	—	A+C		—	650	571	128	21	5	13	67	170	6	15	4	224	312	347	658	123	294	26	10	291	88	-8	+2	-2	+7	+14	1.3
Career	—	MLE		—	5881	5170	1156	191	52	108	612	1546	59	157	42	224	313	343	656	120	296	26	10	298	88	-68	+12	-15	+58	+117	10.7
/ 162G	—	MLE		—	650	571	128	21	6	12	68	171	7	17	5	224	314	345	659	121	297	26	10	298	88	-8	+1	-2	+7	+14	1.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby 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
#2Danny 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
#3Leonys Martinlast yr '19 career totals — 8 seasons, 2,784 PA	4.2	2,784	58	126	243	301	366	+10	+53	10.7	10.8
/162	664	14	30	+2.4	+12.6	2.5	pk7: 11
#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 7 projected seasons	4.6	3,077	57	71	227	312	348	+33	+21	8.2	7.1
/162	664	12	15	+7.1	+4.5	1.8	pk7: 6
#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
Javier Herrera (OGILVIE)	21	42→47	35→40	55→60	65	213/303/305	92	299	2	6	28%	10%	77	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brainer Bonaci 2023 · A	21	43→44	40→45	55→50	50	207/291/305	98	286	7	16	28%	10%	72	-0.7	224/282/341	117	311	12	11	30%	7%	76	-0.4	229/272/354	124	311	15	8	31%	6%	72	-0.4
✕Leo Rivas 2018 · A	20	47→54	37→40	56→65	54	218/314/294	76	289	3	19	23%	10%	78	-0.3	190/273/272	82	291	5	10	33%	10%	57	-1.8	241/356/333	92	321	9	44	24%	14%	102	+1.0
✕Colin Walsh 2011 · A	21	44→53	40→45	53→50	51	212/293/307	95	270	8	10	23%	10%	73	-0.6	225/299/349	124	276	11	8	21%	9%	84	+0.2	220/327/339	119	312	10	7	29%	13%	91	+0.5
✕Dalton Pompey 2014 · A	21	45→55	40→45	57→55	45	213/279/311	99	296	6	21	29%	8%	68	-1.0	250/308/354	104	323	7	26	23%	7%	88	+0.4	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Kevin Encarnacion 2013 · A	21	47	39→40	52→55	53	221/300/312	92	270	6	17	20%	9%	76	-0.4	218/286/310	92	283	7	10	24%	8%	71	-0.8	224/275/296	72	297	6	7	25%	5%	59	-0.7
✕Roberto Caro 2015 · A	21	45→41	38→40	63→60	49	212/292/308	96	281	3	21	24%	9%	72	-0.7	202/272/280	78	301	2	16	31%	8%	58	-1.7	215/287/293	78	329	2	26	32%	8%	65	-0.6
✕Geraldo Quintero 2023 · A	21	44→46	41→40	55→60	45	214/280/320	106	278	7	20	25%	7%	70	-0.8	213/281/300	87	282	6	26	25%	7%	66	-1.1	204/276/285	81	269	7	32	25%	8%	59	-1.1
✕Jakob Marsee 2023 · A	22	44→48	43→45	58→60	54	211/315/327	116	289	9	21	28%	12%	86	+0.3	215/313/338	123	273	13	33	24%	11%	88	+0.5	211/310/338	127	264	13	40	24%	11%	84	+0.2
✕Jose Acosta 2021 · A	21	49	39→45	58→55	46	230/295/326	96	310	5	19	26%	8%	77	-0.3	196/252/310	114	307	11	15	38%	6%	58	-1.7	164/219/277	113	241	12	19	36%	6%	35	-1.2
✕Josh Johnson 2007 · A	21	46→49	37→45	49→50	57	215/306/291	76	273	4	11	21%	11%	74	-0.5	220/302/287	67	289	3	10	22%	10%	72	-0.7	244/312/343	100	289	8	16	17%	9%	85	+0.1
✕Junior Valera 2014 · A	21	47	36→40	58→60	48	218/284/296	79	282	1	19	22%	8%	66	-1.1	228/289/317	89	300	4	16	23%	8%	72	-0.7	245/306/339	94	314	6	23	22%	8%	80	-0.0
✕Nacho Alvarez Jr. 2023 · A	20	50→52	39→40	54→50	56	234/323/325	91	290	6	14	20%	11%	88	+0.4	239/315/327	88	307	7	14	23%	8%	86	+0.3	239/316/323	84	307	7	14	23%	8%	82	+0.0
●Ronny Simon 2021 · A	21	46→56	41→50	52→60	46	218/278/329	112	273	6	13	22%	7%	72	-0.7	210/262/355	145	274	16	19	29%	6%	72	-0.7	266/329/370	104	332	7	30	21%	8%	98	+0.9
✕Hoy Park 2017 · A	21	40→49	38→45	59→55	46	192/267/282	90	275	4	17	30%	8%	57	-1.8	216/291/301	85	288	6	17	25%	9%	70	-0.8	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Jose Lobatón 2006 · A	21	45	39→45	50→30	46	213/275/298	85	283	5	8	26%	8%	63	-1.3	216/286/336	120	301	12	3	30%	9%	77	-0.3	233/317/359	126	296	11	0	23%	11%	91	+0.3
✕Jared Serna 2022 · A	20	42→48	39→45	56→50	53	200/298/293	93	253	6	22	22%	10%	72	-0.7	217/285/340	123	274	12	17	24%	7%	78	-0.3	217/277/347	130	268	14	15	24%	6%	74	-0.4
●Geraldo Perdomo 2021 · A	21	48→56	38→45	50→55	51	226/307/307	80	281	4	17	20%	9%	78	-0.3	206/295/294	88	268	6	12	23%	10%	71	-0.8	257/357/385	127	281	12	19	12%	12%	112	+2.1
✕Blake Perkins 2018 · A	21	44→51	40→50	51→55	44	213/273/305	91	288	7	15	28%	7%	64	-1.3	202/271/287	85	292	7	17	31%	8%	59	-1.6	226/309/352	126	299	12	25	27%	10%	87	+0.3
✕Nolan Fontana 2013 · A	22	47→43	40	53→50	63	214/343/314	99	296	6	15	26%	16%	95	+0.9	213/321/311	98	309	6	11	29%	13%	84	+0.2	207/315/300	93	301	5	9	29%	13%	78	-0.2
✕Shawn Zarraga 2009 · A	20	48	40	51→45	49	226/308/322	96	306	7	7	26%	9%	82	-0.0	222/294/296	74	305	5	6	26%	7%	71	-0.8	277/346/357	80	319	4	2	13%	7%	103	+0.5

Career Stats + Projections

Career Comps

Career Path Comps