Eduardo Rojas

C ACL Dodgers

Age 20 S/R 5'11" / 163 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2035

Overview

ROKPROSPECTFG #866MiLBFA 2036

Scout OFP40ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	18	ROKDSL LAD Mega	151	.278/.450/.348	1	9	64	—	.185/.331/.210
2026	19	ROKLAD	101	.342/.475/.456	1	0	106	—	.279/.374/.372
2027PROJ0% MLB	20	MLBLAD	211	.217/.300/.301	2	3	73	0.1
2028PROJ25% MLB	21	MLBLAD	44	.217/.300/.309	1	0	78	0.0
2029PROJ38% MLB	22	MLBLAD	117	.220/.304/.321	2	1	82	0.2

Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$4M2034Arb-2$6M+1

Skills · percentileMiLB Statcast 2026 Rk

wRC+89

Whiff%88

Z-Con%87

wOBA81

K%78

BB%73

Career WAR0 WAR median (P10 0 / P90 3, comp-based) · star 2% · didn't stick 91%

CompsEloy Gutierrez (age 21) · Ramon Mendoza (age 20) · Juan Fernandez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 87 proj PA

wRC+†73

AVG/OBP/SLG.215 / .297 / .299

PA87

HR1

K%25

BB%9

ISO84

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$12M ctrl surplus

Tools · ContractCON 52 / POW 42

Toolsscout grade

CONTACT52

scouting grade only

POWER42

scouting grade only

EYE50

scouting grade only

SPEED30

scouting grade only

DEFENSE55

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Arb-1	$4M	+0.8	$2M	+$0.1M
2034	Arb-2	$6M	+0.7	$2M	+$0.0M (cut)
2035	Arb-3	$8M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$10M	+$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)
2024	17	ROK	DSL LAD Bautista	—	172	128	29	5	2	0	36	34	5	7	4	227	414	297	711	70	302	20	21	339	42	—	—	—	—	—	—
2025	18	ROK	DSL LAD Mega	—	151	115	32	5	0	1	31	15	5	9	4	278	450	348	798	70	313	10	21	380	64	—	—	—	—	—	—
2026	19	ROK	ACL Dodgers	—	101	79	27	4	1	1	19	16	1	0	1	342	475	456	930	114	406	16	19	414	106	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL LAD Bautista	—	172	139	20	3	1	0	25	42	5	7	4	144	296	180	476	36	194	24	15	231	42	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	151	124	23	3	0	0	22	19	5	9	4	185	331	210	541	24	214	13	15	263	64	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	101	86	24	3	1	1	12	23	1	0	1	279	374	372	746	93	343	23	12	325	106	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Bautista	—	172	139	20	3	1	0	25	42	5	7	4	144	296	180	476	36	202	24	15	231	42	—	—	—	—	—	—
2024	17	ROK RAW	DSL LAD Bautista	—	172	128	29	5	2	0	36	34	5	7	4	227	414	297	711	70	302	20	21	339	42	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	151	124	23	3	0	0	22	19	5	9	4	185	331	210	541	24	219	13	15	263	64	—	—	—	—	—	—
2025	18	ROK RAW	DSL LAD Mega	—	151	115	32	5	0	1	31	15	5	9	4	278	450	348	798	70	313	10	21	380	64	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	101	86	24	3	1	1	12	23	1	0	1	279	374	372	746	93	359	23	12	325	106	—	—	—	—	—	—
2026	19	ROK RAW	ACL Dodgers	—	101	79	27	4	1	1	19	16	1	0	1	342	475	456	930	114	406	16	19	414	106	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Bautista	—	172	140	20	3	1	0	25	42	5	7	4	143	296	179	474	36	194	24	15	231	42	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	151	123	23	3	0	0	22	19	5	9	4	187	331	211	543	24	214	13	15	263	64	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	101	87	24	3	1	1	12	23	1	0	1	276	374	368	742	92	343	23	12	325	106	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL LAD Bautista	—	172	140	20	3	1	0	25	42	5	7	4	143	296	179	474	36	194	24	15	231	42	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	151	123	23	3	0	0	22	19	5	9	4	187	331	211	543	24	214	13	15	263	64	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	101	87	24	3	1	1	12	23	1	0	1	276	374	368	742	92	343	23	12	325	106	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	LAD	0%	211	186	40	7	1	2	20	52	3	3	1	217	300	301	601	84	286	25	9	276	73	-7	+0	-1	+4	+5	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	LAD	25%	175	155	34	6	1	2	16	43	2	2	1	221	304	316	620	95	288	25	9	284	78	-5	+0	-1	+3	+4	0.2
2029	22	MLB MLE	LAD	38%	307	271	61	10	2	5	29	74	4	3	1	225	307	327	635	103	289	24	9	289	82	-7	+0	-1	+5	+7	0.5
2030	23	MLB MLE	LAD	45%	397	352	81	13	3	7	37	95	5	4	1	227	310	336	646	109	290	24	9	293	85	-7	+0	-0	+7	+9	0.9
2031	24	MLB MLE	LAD	48%	459	407	94	16	3	8	43	110	6	4	1	230	311	343	654	114	291	24	9	297	87	-7	+0	+1	+8	+10	1.2
2032	25	MLB MLE	LAD	50%	494	439	101	17	3	9	46	117	6	4	1	231	312	348	660	117	291	24	9	299	88	-7	+0	+2	+9	+11	1.5
2033	26	MLB MLE	LAD	50%	515	456	106	18	3	10	48	122	6	4	1	231	312	348	660	117	291	24	9	299	88	-7	+0	+2	+9	+11	1.6
2034	27	MLB MLE	LAD	50%	520	461	106	18	3	10	48	124	6	4	1	229	311	345	656	116	290	24	9	297	87	-8	+0	+2	+9	+11	1.5
2035	28	MLB MLE	LAD	50%	520	461	105	18	3	9	48	125	6	3	1	228	309	340	649	113	289	24	9	295	85	-9	+0	+1	+9	+11	1.3
2036	29	MLB MLE	LAD	49%	517	458	103	17	3	9	48	126	6	2	2	225	306	334	640	109	288	24	9	291	83	-10	-0	+0	+9	+11	1.0
2037	30	MLB MLE	LAD	48%	509	451	101	17	3	8	47	126	6	2	5	222	302	326	628	104	286	25	9	286	80	-12	-2	-0	+9	+11	0.6
2038	31	MLB MLE	LAD	47%	481	429	93	15	3	7	44	121	5	2	5	218	298	316	613	98	283	25	9	280	76	-14	-2	-1	+9	+10	0.2
2039	32	MLB MLE	LAD	47%	450	402	85	14	2	6	40	115	5	2	5	212	291	304	595	91	279	26	9	272	71	-16	-2	-2	+8	+10	-0.2
2028	21	MLB CTX	LAD	25%	44	39	8	1	0	1	4	11	1	0	0	217	300	309	609	92	281	25	9	279	78	-1	+0	-0	+1	+1	0.0
2029	22	MLB CTX	LAD	38%	117	104	24	4	1	2	11	28	1	1	0	220	304	321	624	100	282	24	9	285	82	-3	+0	-0	+2	+3	0.2
2030	23	MLB CTX	LAD	45%	180	159	36	6	1	3	17	43	2	2	0	223	306	330	636	107	283	24	9	289	85	-3	+0	-0	+3	+4	0.4
2031	24	MLB CTX	LAD	48%	221	195	44	7	1	4	21	53	3	2	1	225	308	337	645	112	284	24	10	293	87	-3	+0	+0	+4	+5	0.6
2032	25	MLB CTX	LAD	50%	245	217	49	8	1	5	23	58	3	2	1	227	309	342	650	115	284	24	9	295	88	-3	+0	+1	+4	+5	0.7
2033	26	MLB CTX	LAD	50%	260	231	51	8	1	5	24	62	3	2	1	227	308	342	651	116	284	24	9	295	88	-4	+0	+1	+5	+6	0.8
2034	27	MLB CTX	LAD	50%	260	231	51	8	1	5	24	62	3	2	1	225	307	339	647	114	284	24	9	294	87	-4	+0	+1	+5	+6	0.7
2035	28	MLB CTX	LAD	50%	259	230	51	8	1	5	24	62	3	1	1	224	305	335	640	111	283	24	9	291	85	-4	-0	+0	+5	+6	0.6
2036	29	MLB CTX	LAD	49%	251	223	50	8	1	5	23	61	3	1	1	221	303	328	631	107	281	24	9	287	83	-5	-0	+0	+4	+5	0.5
2037	30	MLB CTX	LAD	48%	243	216	46	7	1	4	22	60	3	1	2	218	299	320	619	102	280	25	9	282	80	-6	-1	-0	+4	+5	0.3
2038	31	MLB CTX	LAD	47%	227	202	44	7	1	4	21	57	2	1	3	214	294	310	604	96	277	25	9	276	76	-7	-1	-1	+4	+5	0.1
2039	32	MLB CTX	LAD	47%	211	188	39	6	1	3	19	54	2	1	3	209	288	298	586	89	273	26	9	269	71	-7	-1	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2518	2235	493	78	11	46	233	611	29	16	14	221	302	327	629	106	281	24	9	287	81	-51	-2	+1	+45	+55	4.8
/ 162G	—	A+C		—	650	577	127	20	3	12	60	158	7	4	4	220	301	328	629	107	280	24	9	287	81	-13	-1	+0	+12	+14	1.2
Career	—	MLE		—	5855	5169	1155	191	35	92	561	1404	75	53	34	223	309	327	636	104	287	24	10	289	81	-112	-3	+1	+97	+118	10.4
/ 162G	—	MLE		—	650	574	128	21	4	10	62	156	8	6	4	223	307	326	633	103	286	24	10	289	81	-13	-0	+0	+12	+14	1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#3Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#4Randy Hundley'64-'77 * career totals — 9 seasons, 3,797 PA	5.7	3,797	82	12	236*	295*	383*	+68	+0	8.0	8.7
/162	664	14	2	+11.8	+0.0	1.4	pk7: 9
#5Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#6Fred 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 6 projected seasons	3.9	2,604	44	18	226	304	334	+47	+12	6.3	5.7
/162	664	11	4	+11.9	+3.1	1.6	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
Eduardo Rojas (OGILVIE)	20	25→52	30→42	30	50	215/297/299	84	286	1	1	25%	9%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Eloy Gutierrez 2006 · A	21	44→54	37→45	39→50	43	208/275/280	71	287	4	6	28%	7%	59	-1.6	199/264/280	81	303	5	11	33%	7%	55	-1.9	254/316/354	99	348	7	13	27%	8%	87	+0.2
✕Ramon Mendoza 2021 · A	20	45→51	38→45	40→45	45	210/282/297	87	291	5	4	28%	7%	66	-1.1	196/268/274	78	282	4	5	29%	8%	56	-1.9	232/310/341	109	301	10	3	24%	9%	83	+0.1
✕Juan Fernandez 2019 · A	20	43→53	39→40	39→50	44	205/264/289	84	263	6	4	24%	6%	57	-1.8	211/270/305	94	274	8	5	25%	6%	63	-1.3	239/301/321	82	296	8	9	21%	6%	75	-0.3
✕Tyler Nevin 2017 · A	20	44→54	38→50	40→45	45	209/276/295	86	290	5	6	28%	8%	63	-1.3	239/291/345	106	307	9	7	24%	6%	80	-0.2	240/319/380	139	292	16	4	22%	8%	98	+0.8
✕Yolmer Sánchez 2012 · A	20	49→59	35→50	42→50	48	229/299/289	60	288	3	9	20%	7%	70	-0.8	264/307/334	70	337	2	15	21%	5%	82	+0.0	247/308/360	113	308	7	9	21%	7%	90	+0.6
✕Griff Erickson 2009 · A	21	42→50	38→45	42→40	44	202/268/282	80	277	6	4	28%	7%	57	-1.8	215/277/321	106	270	8	3	22%	7%	70	-0.9	217/292/346	129	266	13	2	23%	9%	79	-0.1
●Daniel Robertson 2014 · A	20	47→57	43→45	37→40	45	231/292/342	111	292	10	3	24%	7%	80	-0.1	252/320/366	114	316	9	3	22%	7%	96	+1.0	256/329/366	110	321	8	2	21%	8%	96	+0.9
✕Jose Herrera 2017 · A	20	44	40	43→40	45	215/277/303	88	278	8	4	25%	7%	65	-1.2	202/258/285	83	259	5	3	23%	7%	54	-2.0	214/297/304	90	284	9	3	26%	10%	72	-0.4
✕Angel Acosta 2024 · A	21	42	38→40	40→50	48	201/276/279	78	249	5	5	20%	7%	60	-1.6	211/268/276	65	259	4	9	19%	6%	55	-1.9	219/273/273	54	263	4	11	17%	6%	55	-0.7
✕Felipe Burin 2012 · A	20	51	36→40	40→45	50	238/302/311	73	295	2	4	19%	8%	76	-0.4	214/277/280	66	287	2	5	24%	8%	60	-1.6	161/234/188	28	217	0	3	24%	8%	24	-1.2
✕Jose Perez 2024 · A	20	39	38→40	45	60	185/303/270	86	239	4	7	22%	13%	70	-0.9	192/299/267	75	259	4	6	24%	12%	67	-1.1	184/302/248	64	242	3	5	22%	13%	61	-0.6
✕Milkar Perez 2022 · A	20	47	35→40	42→40	51	217/304/280	63	304	2	5	27%	10%	71	-0.8	203/292/268	65	315	3	3	32%	10%	64	-1.3	211/289/291	80	310	4	2	30%	9%	66	-0.7
✕Héctor Sánchez 2011 · A	21	49→50	40→50	42→30	46	236/288/333	98	282	7	3	19%	6%	76	-0.4	246/283/363	117	304	11	2	22%	5%	81	-0.1	251/289/371	119	308	13	0	22%	4%	85	+0.1
✕Max Moroff 2014 · A	21	43→53	40→50	43→50	47	208/276/299	91	277	8	8	27%	8%	65	-1.2	227/292/319	92	324	5	12	29%	8%	74	-0.5	242/324/370	128	322	13	10	27%	10%	96	+0.8
●Victor Caratini 2014 · A	20	48→58	38→50	41→40	48	220/299/311	91	315	3	3	29%	9%	76	-0.4	237/296/335	98	311	5	2	24%	7%	79	-0.2	276/335/400	124	338	10	1	20%	7%	109	+1.3
✕Randy Florentino 2021 · A	21	42	39→45	42→45	49	199/281/287	88	284	6	6	30%	10%	64	-1.3	180/242/262	82	268	8	5	34%	7%	43	-2.8	183/231/259	76	238	8	4	26%	5%	37	-1.0
✕Cutter Dykstra 2009 · A	20	44→54	42→40	41→55	45	215/280/315	100	287	9	7	28%	8%	70	-0.9	213/274/291	78	300	6	14	29%	7%	61	-1.5	239/306/325	86	316	6	16	24%	8%	79	-0.2
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Nate Samson 2008 · A	20	47→57	35→40	37→45	48	218/283/272	54	271	2	4	20%	7%	60	-1.6	245/296/299	54	281	3	7	13%	5%	71	-0.8	218/263/316	97	257	8	9	18%	5%	60	-0.6
✕Carlos Pérez 2011 · A	20	46→49	37→55	43→45	52	215/292/293	78	267	3	6	19%	9%	69	-0.9	224/274/313	89	287	5	4	22%	6%	65	-1.2	249/297/366	117	288	10	4	17%	6%	86	+0.2

Eduardo Rojas

Career Stats + Projections

Career Comps

Career Path Comps