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

ROKPROSPECTMiLBFA 2036

OGV OFP35OGV rank#665ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL LAD Bauti…	172	.227/.414/.297	0	7	42	—	.144/.296/.180
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
2027PROJMLE	20	MLBLAD	211	.217/.300/.301	2	3	73	0.1
2028PROJ25% MLB	21	MLBLAD	27	.217/.300/.309	0	0	78	0.0
2029PROJ38% MLB	22	MLBLAD	76	.220/.304/.321	1	1	82	0.1

Next 3 projected WAR 0.3Projected 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$3M2034Arb-2$5M+1

Skills · percentileMiLB Statcast 2026 Rk

wRC+89

Whiff%88

Z-Con%87

wOBA81

K%78

BB%73

Career WAR0.0 WAR median (P10 0.0 / P90 3.4, comp-based) · star 2% · didn't stick 91%

CompsRamon Mendoza (age 20) · Juan Fernandez (age 20) · Yolmer Sánchez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 54 proj PA

wRC+†73

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

PA54

HR1

K%25

BB%9

ISO84

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$9M ctrl surplus

Contract

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	+0.3	$1.0M	+$0.3M
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Arb-1	$3M	+0.7	$2M	+$0.1M
2034	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2035	Arb-3	$6M	+0.5	$1M	+$0.0M (cut)
Totals		$6M		$8M	+$2M

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. 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 1-3 WAR low.

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%	108	96	21	3	1	1	10	26	1	1	0	221	304	316	620	95	288	24	9	284	78	-3	+0	-0	+2	+2	0.1
2029	22	MLB MLE	LAD	38%	198	175	39	6	1	3	18	48	3	2	1	225	307	327	635	103	289	24	9	289	82	-4	+0	-0	+4	+4	0.3
2030	23	MLB MLE	LAD	45%	292	259	59	10	2	5	27	70	4	3	1	227	310	336	646	109	290	24	9	293	85	-5	+0	-0	+5	+6	0.6
2031	24	MLB MLE	LAD	48%	370	328	76	13	2	7	34	88	5	3	1	230	311	343	654	114	291	24	9	297	87	-6	+0	+1	+7	+8	1.0
2032	25	MLB MLE	LAD	50%	413	367	85	14	3	8	38	98	5	3	1	231	312	348	660	117	291	24	9	299	88	-6	+0	+1	+7	+9	1.2
2033	26	MLB MLE	LAD	50%	439	390	90	15	3	8	41	104	5	3	1	231	312	348	660	117	291	24	9	299	88	-6	+0	+1	+8	+10	1.3
2034	27	MLB MLE	LAD	50%	445	396	90	15	3	8	41	106	5	3	1	229	311	345	656	116	290	24	9	297	87	-7	+0	+1	+8	+10	1.3
2035	28	MLB MLE	LAD	50%	445	396	90	15	3	8	41	107	5	2	1	228	309	340	649	113	289	24	9	295	85	-8	+0	+1	+8	+10	1.1
2036	29	MLB MLE	LAD	49%	441	392	89	15	3	8	41	108	5	2	2	225	306	334	640	109	288	24	9	291	83	-9	-0	-0	+8	+10	0.8
2037	30	MLB MLE	LAD	48%	432	384	85	14	2	7	40	107	5	2	4	222	302	326	628	104	286	25	9	286	80	-10	-1	-1	+8	+9	0.5
2038	31	MLB MLE	LAD	47%	397	354	77	13	2	6	36	100	4	2	4	218	298	316	613	98	283	25	9	280	76	-12	-1	-2	+7	+9	0.1
2028	21	MLB CTX	LAD	25%	27	24	5	1	0	0	3	7	0	0	0	217	300	309	609	92	281	26	11	279	78	-1	+0	-0	+0	+1	0.0
2029	22	MLB CTX	LAD	38%	76	68	14	2	0	1	7	18	1	1	0	220	304	321	624	100	282	24	9	285	82	-2	+0	-0	+1	+2	0.1
2030	23	MLB CTX	LAD	45%	133	118	26	4	1	2	12	32	2	1	0	223	306	330	636	107	283	24	9	289	85	-2	+0	-0	+2	+3	0.3
2031	24	MLB CTX	LAD	48%	178	157	36	6	1	3	17	42	2	1	0	225	308	337	645	112	284	24	10	293	87	-3	+0	+0	+3	+4	0.5
2032	25	MLB CTX	LAD	50%	205	181	41	7	1	4	19	49	3	2	1	227	309	342	650	115	284	24	9	295	88	-3	+0	+1	+4	+4	0.6
2033	26	MLB CTX	LAD	50%	222	196	44	7	1	4	21	53	3	2	1	227	308	342	651	116	284	24	9	295	88	-3	+0	+1	+4	+5	0.7
2034	27	MLB CTX	LAD	50%	223	197	44	7	1	4	21	53	3	2	1	225	307	339	647	114	284	24	9	294	87	-3	+0	+1	+4	+5	0.6
2035	28	MLB CTX	LAD	50%	221	195	44	7	1	4	21	53	3	1	1	224	305	335	640	111	283	24	10	291	85	-4	-0	+0	+4	+5	0.5
2036	29	MLB CTX	LAD	49%	214	190	42	7	1	4	20	52	2	1	1	221	303	328	631	107	281	24	9	287	83	-4	-0	-0	+4	+5	0.4
2037	30	MLB CTX	LAD	48%	206	183	39	6	1	3	19	51	2	1	2	218	299	320	619	102	280	25	9	282	80	-5	-1	-0	+4	+4	0.2
2038	31	MLB CTX	LAD	47%	187	166	36	6	1	3	17	47	2	1	2	214	294	310	604	96	277	25	9	276	76	-5	-1	-1	+3	+4	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1892	1675	371	60	9	32	177	457	23	13	9	221	305	325	630	104	284	24	9	289	82	-35	-1	+1	+34	+41	4.0
/ 162G	—	A+C		—	650	575	128	21	3	11	61	157	8	4	3	223	306	327	633	104	285	24	9	289	82	-12	-0	+0	+12	+14	1.4
Career	—	MLE		—	4458	3934	879	144	27	71	431	1059	59	43	26	223	309	328	637	104	286	24	10	290	82	-77	-1	+2	+72	+87	8.5
/ 162G	—	MLE		—	650	574	128	21	4	10	63	154	9	6	4	223	310	326	636	103	286	24	10	290	82	-12	-0	+0	+12	+14	1.4

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 ROKACL Dodgers · 101 PAwOBA .413 → .325 (−88)K% 15.8% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.84%	÷1.000	×1.440	—	—	22.81%
BB% (unintentional) /PA	18.81%	÷1.000	×0.620	—	×1.008	11.75%
HBP% /PA	0.99%	—	×0.720	—	×1.008	0.72%
Singles /BIP	33.33%	÷1.000	×0.820	×1.050	×1.008	28.92%
Doubles /BIP	6.35%	÷1.000	×0.720	×1.050	×1.008	4.84%
Triples /BIP	1.59%	÷1.000	×0.720	×1.050	×1.008	1.21%
Home runs /BIP	1.59%	÷1.000	×0.780	—	×1.008	1.25%

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 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 ×1.050.

Result: wOBA .413 → .325; ISO .114 → .091; BABIP .406 → .343. 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 DSLDSL LAD Mega · 151 PAwOBA .372 → .263 (−109)K% 9.9% → 12.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.93%	÷0.957	×1.220	—	—	12.67%
BB% (unintentional) /PA	20.53%	÷1.000	×0.700	—	×1.008	14.48%
HBP% /PA	3.31%	—	×0.700	—	×1.008	2.34%
Singles /BIP	26.00%	÷0.985	×0.680	×1.016	×1.008	18.37%
Doubles /BIP	5.00%	÷1.050	×0.600	×1.016	×1.008	2.92%
Triples /BIP	0.00%	÷0.988	×0.600	×1.016	×1.008	0.00%
Home runs /BIP	1.00%	÷1.011	×0.470	—	×1.008	0.47%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 97, 2B 110, 3B 98, K 91, BB 100 — 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 ×1.016.

Result: wOBA .372 → .263; ISO .070 → .040; BABIP .313 → .214. 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 LAD Bautista · 172 PAwOBA .336 → .231 (−105)K% 19.8% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.77%	÷0.994	×1.220	—	—	24.27%
BB% (unintentional) /PA	20.93%	÷1.051	×0.700	—	×1.022	14.26%
HBP% /PA	2.91%	—	×0.700	—	×1.022	2.08%
Singles /BIP	23.40%	÷0.998	×0.680	×0.950	×1.022	15.49%
Doubles /BIP	5.32%	÷0.963	×0.600	×0.950	×1.022	3.22%
Triples /BIP	2.13%	÷1.150	×0.600	×0.950	×1.022	1.08%
Home runs /BIP	0.00%	÷1.059	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 100, 2B 92, 3B 130, K 99, BB 110 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .336 → .231; ISO .070 → .043; BABIP .302 → .194. 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
#1Dioner 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
#2Brian 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
#3Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#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
#5Jerry May'64-'73 * career totals — 7 seasons, 1,716 PA	2.6	1,716	15	1	236*	314*	355*	+31	+0	5.6	5.6
/162	664	6	0	+11.8	+0.0	2.2	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.9	1,945	33	13	227	305	338	+35	+12	5.1	4.7
/162	664	11	4	+11.9	+4.1	1.8	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
Eduardo Rojas (OGILVIE)	20	—	—	—	—	215/297/299	84	286	1	1	25%	9%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
●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
✕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
✕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
✕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
✕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
✕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
●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
✕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
✕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
✕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
✕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
✕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
✕Ronaldo Hernández 2018 · A	20	48→44	41→50	40→45	44	231/276/332	101	269	8	4	17%	5%	72	-0.7	228/268/357	129	270	15	7	21%	4%	75	-0.5	229/267/377	149	266	18	5	22%	3%	77	-0.2
✕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
✕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
✕Harold Garcia 2007 · A	20	42→52	38→45	46→55	49	197/295/278	82	252	4	9	22%	8%	68	-1.0	215/282/308	93	269	6	15	22%	5%	69	-0.9	253/305/360	108	338	8	26	26%	4%	87	+0.3

Eduardo Rojas

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps