Jonathan Linares

C Rancho Cucamonga Quakes

Age 22 S/R 6'0" / 200 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	20	ASEA	122	.198/.298/.340	3	1	31	—	.145/.223/.245
2026	21	ALAA	165	.275/.417/.458	5	2	97	—	.230/.344/.374
2027PROJ0% MLB	22	MLBLAA	275	.206/.291/.326	6	5	76	0.3
2028PROJ43% MLB	23	MLBLAA	98	.209/.294/.335	2	2	80	0.2
2029PROJ58% MLB	24	MLBLAA	190	.212/.297/.343	5	3	83	0.4

Next 3 projected WAR 0.9Projected 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

wOBA84

wRC+80

BB%77

ISO74

Chase%71

K%56

Career WAR0 WAR median (P10 0 / P90 3, comp-based) · star 2% · didn't stick 90%

CompsDarrien Miller (age 22) · Alexander Campos (age 22) · Thomas Dillard (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 155 proj PA

wRC+†76

AVG/OBP/SLG.204 / .289 / .323

PA155

HR3

K%27

BB%9

ISO120

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$26M ctrl surplus

Tools · ContractCON 30 / POW 47

Toolsscout grade

CONTACT30

scouting grade only

POWER47

scouting grade only

EYE59

scouting grade only

SPEED50

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	+0.7	$2M	+$1M
2033	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$1M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$5M	+$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. 2027 = actual YTD + projected ROS + total. 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2022	17	ROK	DSL Angels	—	112	90	26	5	1	0	16	16	4	3	2	289	418	367	785	78	347	14	14	359	61	—	—	—	—	—	—
2023	18	ROK	ACL Angels	—	57	46	12	0	2	0	5	14	4	1	0	261	382	348	730	87	364	25	9	328	51	—	—	—	—	—	—
2024	19	ROK	ACL Angels	—	99	70	14	2	0	1	25	23	2	3	2	200	423	271	694	71	283	23	25	339	55	—	—	—	—	—	—
2025	20	A	Inland Empire 66ers	—	122	106	21	2	2	3	12	36	3	1	0	198	298	340	637	142	265	30	10	289	31	—	—	—	—	—	—
2026	21	A	Rancho Cucamonga Quakes	—	165	131	36	7	1	5	26	38	6	2	0	275	417	458	875	183	348	23	16	390	97	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Angels	—	112	95	20	4	1	0	11	20	4	3	2	211	318	274	592	63	249	18	10	259	61	—	—	—	—	—	—
2023	18	ROK MLE	ACL Angels	—	57	48	9	0	1	0	3	21	4	1	0	188	291	229	520	42	308	37	5	244	51	—	—	—	—	—	—
2024	19	ROK MLE	ACL Angels	—	99	80	13	2	0	1	15	33	2	3	2	163	309	225	534	62	250	33	15	249	55	—	—	—	—	—	—
2025	20	A MLE	Inland Empire 66ers	—	122	110	16	1	2	2	8	49	3	1	0	145	223	245	469	100	230	40	7	214	31	—	—	—	—	—	—
2026	21	A MLE	Rancho Cucamonga Quakes	—	165	139	32	6	1	4	18	52	6	2	0	230	344	374	718	144	318	32	11	312	97	—	—	—	—	—	—
2022	17	ROK MLE	DSL Angels	—	112	95	20	4	1	0	11	20	4	3	2	211	318	274	592	63	263	18	10	259	61	—	—	—	—	—	—
2022	17	ROK RAW	DSL Angels	—	112	90	26	5	1	0	16	16	4	3	2	289	418	367	785	78	347	14	14	359	61	—	—	—	—	—	—
2023	18	ROK MLE	ACL Angels	—	57	48	9	0	1	0	3	21	4	1	0	188	291	229	520	42	321	37	5	244	51	—	—	—	—	—	—
2023	18	ROK RAW	ACL Angels	—	57	46	12	0	2	0	5	14	4	1	0	261	382	348	730	87	364	25	9	328	51	—	—	—	—	—	—
2024	19	ROK MLE	ACL Angels	—	99	80	13	2	0	1	15	33	2	3	2	163	309	225	534	62	261	33	15	249	55	—	—	—	—	—	—
2024	19	ROK RAW	ACL Angels	—	99	70	14	2	0	1	25	23	2	3	2	200	423	271	694	71	283	23	25	339	55	—	—	—	—	—	—
2025	20	A MLE	Inland Empire 66ers	—	122	110	16	1	2	2	8	49	3	1	0	145	223	245	469	100	233	40	7	214	31	—	—	—	—	—	—
2025	20	A RAW	Inland Empire 66ers	—	122	106	21	2	2	3	12	36	3	1	0	198	298	340	637	142	265	30	10	289	31	—	—	—	—	—	—
2026	21	A MLE	Rancho Cucamonga Quakes	—	165	139	32	6	1	4	18	52	6	2	0	230	344	374	718	144	333	32	11	312	97	—	—	—	—	—	—
2026	21	A RAW	Rancho Cucamonga Quakes	—	165	131	36	7	1	5	26	38	6	2	0	275	417	458	875	183	348	23	16	390	97	—	—	—	—	—	—
2022	17	ROK MLE	DSL Angels	—	112	96	20	4	1	0	11	20	4	3	2	208	318	271	589	62	249	18	10	259	61	—	—	—	—	—	—
2023	18	ROK MLE	ACL Angels	—	57	50	9	0	1	0	3	21	4	1	0	180	291	220	511	40	308	37	5	244	51	—	—	—	—	—	—
2024	19	ROK MLE	ACL Angels	—	99	82	13	2	0	1	15	33	2	3	2	159	309	220	529	61	250	33	15	249	55	—	—	—	—	—	—
2025	20	A MLE	Inland Empire 66ers	—	122	110	16	1	2	2	8	49	3	1	0	145	223	245	469	100	230	40	7	214	31	—	—	—	—	—	—
2026	21	A MLE	Rancho Cucamonga Quakes	—	165	140	32	6	1	4	18	52	6	2	0	229	344	371	715	143	318	32	11	312	97	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	ACL Angels	—	99	82	13	2	0	1	15	33	2	3	2	159	309	220	529	61	250	33	15	249	55	—	—	—	—	—	—
2025	20	A MLE	Inland Empire 66ers	—	122	110	16	1	2	2	8	49	3	1	0	145	223	245	469	100	230	40	7	214	31	—	—	—	—	—	—
2026	21	A MLE	Rancho Cucamonga Quakes	—	165	140	32	6	1	4	18	52	6	2	0	229	344	371	715	143	318	32	11	312	97	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	LAA	0%	275	244	51	9	2	6	25	75	4	5	1	206	291	326	618	120	269	27	9	281	76	-8	+1	+0	+5	+6	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	LAA	43%	228	202	42	8	1	5	21	61	3	4	1	210	295	337	632	127	271	27	9	286	80	-5	+0	+0	+4	+5	0.4
2029	24	MLB MLE	LAA	58%	328	290	62	11	2	8	30	87	5	6	1	213	298	344	642	131	273	27	9	290	83	-7	+1	+0	+6	+7	0.7
2030	25	MLB MLE	LAA	65%	387	343	73	13	2	9	36	102	5	7	2	215	300	349	649	134	274	26	9	293	85	-7	+1	+0	+7	+8	0.9
2031	26	MLB MLE	LAA	68%	424	376	81	15	2	10	39	111	6	8	2	217	301	352	653	136	275	26	9	295	86	-7	+1	+0	+8	+9	1.0
2032	27	MLB MLE	LAA	68%	441	391	84	15	2	11	41	115	6	8	2	217	301	353	653	135	275	26	9	295	86	-8	+1	+0	+8	+10	1.1
2033	28	MLB MLE	LAA	68%	447	397	85	15	2	11	41	117	6	7	2	215	299	348	646	133	274	26	9	292	84	-9	+1	-1	+8	+10	0.9
2034	29	MLB MLE	LAA	66%	444	394	83	15	2	10	41	118	6	7	2	213	296	341	637	129	273	27	9	288	81	-10	+1	-1	+8	+10	0.7
2035	30	MLB MLE	LAA	66%	438	390	82	15	2	10	40	118	5	6	2	210	292	333	625	124	271	27	9	283	78	-11	+0	-2	+8	+9	0.4
2036	31	MLB MLE	LAA	65%	414	369	76	13	2	9	37	113	5	5	3	205	287	323	610	118	267	27	9	277	74	-13	-0	-3	+7	+9	0.1
2028	23	MLB CTX	LAA	43%	98	88	18	3	1	2	9	26	1	2	0	209	294	335	630	127	269	27	9	285	80	-2	+0	+0	+2	+2	0.2
2029	24	MLB CTX	LAA	58%	190	167	36	6	1	5	18	50	3	3	1	212	297	343	640	131	271	26	9	290	83	-4	+0	+0	+3	+4	0.4
2030	25	MLB CTX	LAA	65%	251	223	47	8	1	6	23	66	3	5	1	214	299	348	647	134	272	26	9	292	85	-5	+1	+0	+4	+5	0.6
2031	26	MLB CTX	LAA	68%	288	255	56	10	2	7	27	75	4	5	1	216	300	351	651	136	273	26	9	294	86	-5	+1	+0	+5	+6	0.7
2032	27	MLB CTX	LAA	68%	300	265	58	10	2	8	28	78	4	5	1	216	300	351	651	135	273	26	9	294	86	-5	+1	+0	+5	+6	0.7
2033	28	MLB CTX	LAA	68%	304	269	58	10	2	7	28	80	4	5	1	214	298	347	644	132	272	26	9	291	84	-6	+1	-0	+5	+7	0.6
2034	29	MLB CTX	LAA	66%	295	262	56	10	2	7	27	78	4	4	1	212	295	340	635	129	271	26	9	287	81	-7	+0	-1	+5	+6	0.5
2035	30	MLB CTX	LAA	66%	287	255	53	9	1	7	26	77	4	4	2	209	291	332	623	124	268	27	9	283	78	-8	+0	-1	+5	+6	0.2
2036	31	MLB CTX	LAA	65%	269	240	49	8	1	6	24	73	3	3	2	204	286	322	608	118	265	27	9	277	74	-8	-0	-2	+5	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2282	2024	431	74	13	55	210	603	30	36	10	213	296	344	640	131	273	26	9	288	79	-49	+3	-5	+41	+49	4.0
/ 162G	—	A+C		—	650	577	123	21	4	16	60	172	9	10	3	213	298	347	644	133	273	26	9	288	79	-14	+1	-1	+12	+14	1.1
Career	—	MLE		—	4261	3762	786	138	23	93	395	1159	68	71	22	209	296	332	628	123	274	27	9	285	79	-82	+5	-7	+66	+80	6.4
/ 162G	—	MLE		—	650	574	120	21	4	14	60	177	10	11	3	209	295	333	627	124	275	27	9	285	79	-14	+1	-1	+12	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#2Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#3Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#4Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.7	2,437	57	39	214	294	343	+44	+28	6.0	5.5
/162	664	15	11	+11.9	+7.6	1.6	pk7: 5
#5Red Kleinow'04-'11 * career totals — 7 seasons, 1,875 PA	2.8	1,875	3	42	219*	299*	350*	+33	-1	4.3	4.4
/162	664	1	15	+11.5	-0.2	1.5	pk7: 4
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	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
Jonathan Linares (OGILVIE)	22	25→30	42→47	45→50	59	204/289/323	119	269	3	3	27%	9%	76	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Darrien Miller 2023 · A	22	40→42	47→45	50→45	49	202/313/334	132	268	16	7	29%	10%	88	+0.5	192/300/291	99	262	9	5	28%	10%	74	-0.5	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Alexander Campos 2022 · A	22	43	42→40	46→45	49	206/292/311	105	279	9	6	28%	9%	74	-0.6	222/303/310	88	316	7	6	29%	9%	78	-0.3	239/331/311	72	336	7	6	28%	11%	86	+0.1
✕Thomas Dillard 2021 · A	23	45→38	44→45	52→50	51	215/305/333	117	304	12	10	31%	11%	84	+0.1	196/282/319	123	325	13	9	40%	10%	72	-0.7	181/273/303	121	301	13	9	40%	10%	64	-1.1
✕Zack Short 2018 · A	23	42→39	45→50	48→45	53	209/300/336	128	267	12	11	25%	10%	82	+0.0	201/292/339	138	285	13	8	31%	10%	80	-0.1	178/280/321	143	246	16	6	32%	11%	70	-0.6
✕Brian Holberton 2014 · A	22	41	45	47→30	51	207/289/328	121	249	13	6	22%	9%	77	-0.3	213/274/318	105	250	9	3	18%	7%	68	-1.0	210/270/316	106	240	9	1	16%	7%	64	-0.6
✕Adam Zebrowski 2023 · A	22	41→33	44→50	50→40	48	201/285/321	120	282	12	5	31%	10%	74	-0.6	185/246/302	117	279	14	3	37%	7%	54	-2.0	186/237/319	133	265	18	2	36%	5%	52	-1.3
✕Miguel Amaya 2021 · A	22	43	46→50	48→40	47	217/290/349	133	270	14	4	25%	8%	82	-0.0	222/315/352	130	303	13	6	29%	9%	92	+0.7	216/325/362	146	296	16	3	30%	10%	98	+0.3
✕Johnny Monell 2008 · A	22	43	43→50	44→45	47	212/287/326	114	278	11	8	27%	8%	75	-0.5	230/291/359	129	287	12	8	23%	7%	84	+0.1	225/286/348	123	283	13	8	24%	7%	78	-0.2
✕Marcus Littlewood 2015 · A	23	41	42→45	49→45	47	203/270/309	106	266	9	5	26%	8%	64	-1.3	212/271/323	111	277	10	5	26%	8%	68	-1.0	208/262/316	108	270	11	3	26%	7%	61	-0.7
✕Jacob Berry 2023 · A	22	43→44	42→45	46→55	43	212/283/312	100	277	9	6	26%	6%	71	-0.8	206/257/315	109	263	9	12	25%	5%	61	-1.5	213/278/320	107	261	10	21	22%	7%	69	-0.8
✕Christian Cerda 2024 · A	21	41→40	43→45	48→40	57	200/308/313	113	265	11	4	27%	13%	81	-0.1	199/288/303	104	259	11	4	26%	11%	71	-0.8	188/274/285	97	238	11	2	25%	10%	60	-0.9
✕Jose Lobatón 2007 · A	22	44	42→45	42→30	47	211/290/320	109	300	10	4	31%	9%	75	-0.5	219/283/344	125	297	13	3	29%	8%	77	-0.3	234/317/366	131	296	12	0	23%	10%	95	+0.4
✕Jake Rogers 2018 · A	23	41→40	44→60	47→45	42	205/269/329	123	282	11	10	30%	7%	69	-0.9	200/273/347	147	275	17	7	32%	8%	75	-0.5	210/288/419	208	272	29	1	33%	8%	97	+0.6
✕Yasel Antuna 2022 · A	22	39→35	45	42→50	43	198/259/325	126	269	13	5	30%	7%	64	-1.3	183/264/283	100	259	10	14	31%	9%	57	-1.8	160/253/247	87	224	9	18	31%	10%	45	-1.7
✕Victor Castillo 2007 · A	22	44	42→40	41→40	59	213/319/315	102	247	9	5	18%	12%	85	+0.2	225/278/296	71	287	6	5	22%	6%	63	-1.3	237/285/294	56	297	6	3	21%	6%	64	-0.4
✕Isan Díaz 2018 · A	22	40→43	47→55	45	43	202/273/336	134	296	14	8	35%	8%	72	-0.7	214/284/363	149	300	16	8	32%	8%	82	+0.0	212/290/379	167	275	21	5	30%	9%	86	+0.2
✕Jeferson Morales 2022 · A	23	41→47	47→45	48→50	48	209/292/350	141	261	14	9	25%	8%	83	+0.1	206/282/335	129	268	13	9	27%	7%	76	-0.4	222/297/349	127	274	11	8	22%	7%	81	-0.0
✕Trent Woodward 2015 · A	23	43	41→45	47→30	47	205/283/307	102	276	7	6	27%	8%	70	-0.9	218/285/307	89	309	7	4	29%	8%	70	-0.9	217/287/303	86	307	8	1	30%	8%	66	-0.4
✕Dayan Frias 2024 · A	22	45→43	42→40	46→55	47	216/291/319	103	302	9	7	30%	9%	74	-0.5	197/271/290	93	282	8	14	30%	9%	61	-1.5	180/256/265	85	257	7	19	31%	8%	48	-1.7
✕Juan Mora 2022 · A	22	44	42→45	55	47	215/295/325	110	284	9	14	26%	8%	78	-0.3	222/280/325	103	297	9	9	27%	6%	72	-0.7	218/275/319	102	286	9	8	26%	5%	67	-0.5

Jonathan Linares

Career Stats + Projections

Career Comps

Career Path Comps