Elvin Garcia

SS Delmarva Shorebirds

Age 20 S/R 6'2" / 165 lbs A HR +9% Svc 0.0 · Ctrl thru 2035

Overview

APROSPECTMiLBFA 2036

OGV OFP35OGV rank#890ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Orioles B…	139	.294/.442/.505	1	12	73	—	.172/.304/.276
2025	18	ROKBAL	115	.234/.368/.330	1	1	24	—	.149/.246/.218
2026	19	A/ROKBAL	294	.235/.334/.318	3	0	36	—	.174/.256/.231
2027PROJMLE	20	MLBBAL	404	.196/.268/.296	6	6	60	-0.3
2028PROJ34% MLB	21	MLBBAL	81	.206/.278/.328	2	1	69	-0.1
2029PROJ48% MLB	22	MLBBAL	168	.214/.286/.353	5	2	77	-0.0

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$7M+1

Skills · percentileMiLB Statcast 2026 A

BB%44

Z-Con%37

wRC+28

ISO26

wOBA24

Chase%15

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 96%

CompsAgustín Ramírez (age 20) · Esmerlyn Valdez (age 20) · Alejandro Flores (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 178 proj PA

wRC+†60

AVG/OBP/SLG.194 / .266 / .294

PA178

HR3

K%31

BB%8

ISO101

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$11M 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	+0.2	$0.6M	+$0.0M
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2033	Arb-1	$4M	+0.9	$2M	+$0.2M
2034	Arb-2	$7M	+0.9	$2M	+$0.0M (cut)
2035	Arb-3	$9M	+0.8	$2M	+$0.0M (cut)
Totals		$7M		$11M	+$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 = full-season projection (no games played yet). 2028+ 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 Orioles Black	—	139	109	32	10	5	1	27	25	2	12	1	294	442	505	947	211	369	18	19	416	73	—	—	—	—	—	—
2025	18	ROK	FCL Orioles	—	115	94	22	4	1	1	17	42	3	1	2	234	368	330	698	96	404	37	15	325	24	—	—	—	—	—	—
2026	19	A	Delmarva Shorebirds	—	252	217	46	8	1	3	29	96	5	0	2	212	319	300	618	88	364	38	12	289	30	—	—	—	—	—	—
2026	19	ROK	FCL Orioles	—	42	38	14	2	0	0	3	9	1	0	0	368	429	421	850	53	483	21	7	387	70	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Orioles Black	—	139	116	20	6	3	0	20	31	2	12	1	172	304	276	580	103	232	22	14	276	73	—	—	—	—	—	—
2025	18	ROK MLE	FCL Orioles	—	115	101	15	2	1	1	10	62	3	1	2	149	246	218	463	69	331	54	9	204	24	—	—	—	—	—	—
2026	19	A MLE	Delmarva Shorebirds	—	252	225	36	6	1	2	21	131	5	0	2	160	247	222	469	62	354	52	8	212	30	—	—	—	—	—	—
2026	19	ROK MLE	FCL Orioles	—	42	39	10	1	0	0	2	13	1	0	0	256	310	282	592	26	392	31	5	272	70	—	—	—	—	—	—
2024	17	ROK MLE	DSL Orioles Black	—	139	116	20	6	3	0	20	31	2	12	1	172	304	276	580	103	233	22	14	276	73	—	—	—	—	—	—
2024	17	ROK RAW	DSL Orioles Black	—	139	109	32	10	5	1	27	25	2	12	1	294	442	505	947	211	369	18	19	416	73	—	—	—	—	—	—
2025	18	ROK MLE	FCL Orioles	—	115	101	15	2	1	1	10	62	3	1	2	149	246	218	463	69	359	54	9	204	24	—	—	—	—	—	—
2025	18	ROK RAW	FCL Orioles	—	115	94	22	4	1	1	17	42	3	1	2	234	368	330	698	96	404	37	15	325	24	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	294	264	46	7	1	2	23	144	6	0	2	174	256	231	487	57	373	49	8	221	35	—	—	—	—	—	—
2026	19	A RAW	2 teams	—	294	255	60	10	1	3	32	105	6	0	2	235	334	318	652	82	388	36	11	303	35	—	—	—	—	—	—
2024	17	ROK MLE	DSL Orioles Black	—	139	116	20	6	3	0	20	31	2	12	1	172	304	276	580	103	232	22	14	276	73	—	—	—	—	—	—
2025	18	ROK MLE	FCL Orioles	—	115	101	15	2	1	1	10	62	3	1	2	149	246	218	463	69	331	54	9	204	24	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	294	263	46	7	1	2	23	144	6	0	2	175	256	232	488	57	359	49	8	221	35	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Orioles Black	—	139	116	20	6	3	0	20	31	2	12	1	172	304	276	580	103	232	22	14	276	73	—	—	—	—	—	—
2025	18	ROK MLE	FCL Orioles	—	115	101	15	2	1	1	10	62	3	1	2	149	246	218	463	69	331	54	9	204	24	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	294	263	46	7	1	2	23	144	6	0	2	175	256	232	488	57	359	49	8	221	35	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	BAL	0%	404	365	71	13	2	6	31	126	5	6	2	196	268	296	564	101	276	31	8	257	60	-19	+0	-4	+4	+9	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	BAL	34%	237	214	43	8	1	5	18	73	3	3	1	203	275	321	596	118	279	31	8	270	69	-9	+0	-2	+3	+5	-0.3
2029	22	MLB MLE	BAL	48%	346	311	66	12	2	9	27	104	5	5	2	210	282	345	627	135	281	30	8	282	77	-9	+0	-3	+4	+7	-0.1
2030	23	MLB MLE	BAL	54%	417	376	81	14	2	13	33	123	5	6	2	217	290	369	659	152	283	29	8	294	85	-7	+0	-2	+4	+9	0.5
2031	24	MLB MLE	BAL	55%	461	415	92	16	2	16	37	134	6	6	2	223	295	387	682	165	285	29	8	303	92	-5	+0	-1	+5	+10	1.0
2032	25	MLB MLE	BAL	56%	486	438	99	17	3	18	39	140	6	7	2	227	299	401	699	174	286	29	8	310	96	-2	+1	+0	+5	+11	1.5
2033	26	MLB MLE	BAL	56%	499	450	103	17	3	20	40	144	6	6	2	228	301	409	710	181	286	29	8	314	99	-1	+0	+0	+5	+11	1.6
2034	27	MLB MLE	BAL	55%	501	450	102	17	3	19	40	145	6	6	2	227	300	406	706	179	286	29	8	313	98	-1	+0	+0	+5	+11	1.6
2035	28	MLB MLE	BAL	55%	498	449	100	17	2	19	40	145	6	5	2	226	298	402	700	176	285	29	8	310	96	-2	+0	-0	+5	+11	1.4
2036	29	MLB MLE	BAL	53%	487	439	98	17	2	18	39	143	6	5	2	223	295	396	691	173	284	29	8	307	94	-4	+0	-1	+5	+11	1.1
2037	30	MLB MLE	BAL	53%	475	429	94	16	2	17	38	141	5	4	3	220	292	389	680	168	282	30	8	302	91	-5	-0	-2	+5	+10	0.8
2038	31	MLB MLE	BAL	52%	459	415	90	15	2	16	36	138	5	3	7	217	287	379	666	163	279	30	8	297	87	-7	-2	-2	+5	+10	0.3
2039	32	MLB MLE	BAL	56%	438	396	84	14	2	15	34	134	5	4	8	212	281	367	648	156	275	31	8	289	82	-9	-2	-3	+5	+9	-0.1
2028	21	MLB CTX	BAL	34%	81	74	15	3	0	2	6	25	1	1	0	206	278	328	606	122	283	31	7	274	69	-3	+0	-1	+1	+2	-0.1
2029	22	MLB CTX	BAL	48%	168	151	33	6	1	5	13	51	2	2	1	214	286	353	639	140	285	30	8	287	77	-5	+0	-1	+2	+4	-0.0
2030	23	MLB CTX	BAL	54%	226	203	45	8	1	7	18	67	3	3	1	221	293	379	672	158	288	30	8	299	85	-4	+0	-1	+2	+5	0.2
2031	24	MLB CTX	BAL	55%	256	231	52	9	1	9	20	75	3	4	1	227	299	398	697	171	290	29	8	309	92	-3	+0	-1	+3	+6	0.6
2032	25	MLB CTX	BAL	56%	272	245	57	10	1	11	22	78	3	4	1	231	303	411	714	181	291	29	8	316	96	-1	+0	+0	+3	+6	0.8
2033	26	MLB CTX	BAL	56%	281	252	58	10	1	11	23	81	4	4	1	233	305	420	725	188	291	29	8	320	99	-0	+0	+0	+3	+6	0.9
2034	27	MLB CTX	BAL	55%	277	250	57	10	1	11	22	80	3	3	1	232	304	418	722	186	291	29	8	319	98	-1	+0	+0	+3	+6	0.9
2035	28	MLB CTX	BAL	55%	273	246	57	10	1	11	22	80	3	3	1	230	302	413	715	183	290	29	8	316	96	-1	+0	-0	+3	+6	0.8
2036	29	MLB CTX	BAL	53%	260	234	53	9	1	10	21	76	3	3	1	228	299	407	706	179	288	29	8	312	94	-2	+0	-1	+3	+6	0.6
2037	30	MLB CTX	BAL	53%	250	225	51	9	1	10	20	74	3	2	2	225	296	399	695	175	287	30	8	308	91	-3	-0	-1	+3	+5	0.4
2038	31	MLB CTX	BAL	52%	239	215	48	8	1	9	19	72	3	1	3	221	291	390	681	169	284	30	8	302	87	-4	-1	-1	+3	+5	0.2
2039	32	MLB CTX	BAL	56%	246	222	48	8	1	9	19	75	3	2	5	216	285	377	662	162	280	30	8	295	82	-5	-2	-2	+3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2829	2548	574	100	11	105	225	834	34	32	18	225	297	397	694	172	290	29	8	308	85	-32	-1	-8	+30	+61	5.2
/ 162G	—	A+C		—	650	585	132	23	3	24	52	192	8	7	4	226	298	398	696	173	290	30	8	308	85	-7	-0	-2	+7	+14	1.2
Career	—	MLE		—	6030	5424	1165	201	32	191	487	1857	77	75	41	215	289	369	658	154	286	31	8	294	85	-71	-2	-17	+59	+119	8.9
/ 162G	—	MLE		—	650	585	126	22	3	21	52	200	8	8	4	215	288	371	659	156	286	31	8	294	85	-8	-0	-2	+7	+14	1.1

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 ADelmarva Shorebirds · 252 PAwOBA .282 → .212 (−70)K% 38.1% → 51.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.10%	÷1.000	×1.360	—	—	51.81%
BB% (unintentional) /PA	11.51%	÷1.000	×0.690	—	×1.045	8.30%
HBP% /PA	1.98%	—	×0.780	—	×1.045	1.62%
Singles /BIP	28.10%	÷1.000	×0.920	×1.033	×1.045	27.91%
Doubles /BIP	6.61%	÷1.000	×0.830	×1.033	×1.045	5.92%
Triples /BIP	0.83%	÷1.000	×0.910	×1.033	×1.045	0.81%
Home runs /BIP	2.48%	÷1.000	×0.800	—	×1.045	2.07%

Factors used: level-wide A 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 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .282 → .212; ISO .088 → .061; BABIP .364 → .354. 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).

2026 ROKFCL Orioles · 42 PAwOBA .377 → .272 (−105)K% 21.4% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷1.000	×1.440	—	—	30.86%
BB% (unintentional) /PA	7.14%	÷1.000	×0.620	—	×1.008	4.46%
HBP% /PA	2.38%	—	×0.720	—	×1.008	1.73%
Singles /BIP	41.38%	÷1.000	×0.820	—	×1.008	34.19%
Doubles /BIP	6.90%	÷1.000	×0.720	—	×1.008	5.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.008	0.00%

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).

Result: wOBA .377 → .272; ISO .053 → .035; BABIP .483 → .392. 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 ROKFCL Orioles · 115 PAwOBA .317 → .204 (−113)K% 36.5% → 53.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.52%	÷0.980	×1.440	—	—	53.64%
BB% (unintentional) /PA	13.91%	÷1.020	×0.620	—	×1.022	8.64%
HBP% /PA	2.61%	—	×0.720	—	×1.022	1.92%
Singles /BIP	30.77%	÷0.997	×0.820	×1.026	×1.022	26.54%
Doubles /BIP	7.69%	÷1.033	×0.720	×1.026	×1.022	5.63%
Triples /BIP	1.92%	÷1.150	×0.720	×1.026	×1.022	1.26%
Home runs /BIP	1.92%	÷1.000	×0.780	—	×1.022	1.53%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 99, 2B 107, 3B 130, K 96, BB 104 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .317 → .204; ISO .096 → .056; BABIP .404 → .331. 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 Orioles Black · 139 PAwOBA .409 → .276 (−133)K% 18.0% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.99%	÷0.977	×1.220	—	—	22.47%
BB% (unintentional) /PA	19.42%	÷0.964	×0.700	—	×1.022	14.42%
HBP% /PA	1.44%	—	×0.700	—	×1.022	1.03%
Singles /BIP	19.05%	÷1.067	×0.680	×0.994	×1.022	12.35%
Doubles /BIP	11.90%	÷0.988	×0.600	×0.994	×1.022	7.35%
Triples /BIP	5.95%	÷1.000	×0.600	×0.994	×1.022	3.63%
Home runs /BIP	1.19%	÷0.988	×0.470	—	×1.022	0.58%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 113, 2B 98, 3B 100, K 95, BB 93 — 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 ×0.994.

Result: wOBA .409 → .276; ISO .211 → .129; BABIP .369 → .232. 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
#1Paul DeJonglast yr '25 career totals — 9 seasons, 3,500 PA	5.3	3,500	146	29	229	294	416	+36	+35	16.1	16.0
/162	664	28	6	+6.8	+6.6	3.1	pk7: 16
#2Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#3Alex Gonzalez'98-'14 * career totals — 15 seasons, 6,248 PA	9.4	6,248	157	30	237*	281*	387*	+64	-10	8.4	10.3
/162	664	17	3	+6.8	-1.0	0.9	pk7: 12
#4Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
#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
#6Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.5	3,007	102	35	220	289	383	+32	+0	7.4	6.8
/162	664	23	8	+7.1	+0.0	1.6	pk7: 6

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
Elvin Garcia (OGILVIE)	20	—	—	—	—	194/266/294	100	276	3	2	31%	8%	60	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Agustín Ramírez 2022 · A	20	36→46	43→55	43→55	40	184/244/295	111	273	10	4	35%	7%	51	-2.2	225/286/365	140	284	15	12	25%	7%	84	+0.1	236/301/405	169	279	19	20	22%	7%	97	+1.1
●Esmerlyn Valdez 2024 · A	20	41→44	42→60	45→30	40	201/268/308	107	300	10	5	34%	7%	63	-1.3	207/289/374	167	303	21	3	37%	9%	88	+0.4	207/300/402	195	286	26	2	35%	10%	96	+0.8
✕Alejandro Flores 2016 · A	20	36	39→50	45→40	43	179/246/260	81	255	6	5	31%	8%	45	-2.7	204/264/306	102	299	8	6	32%	7%	61	-1.5	206/261/337	132	279	11	4	29%	6%	64	-0.6
●Carter Jensen 2023 · A	20	38→48	42→55	45→50	49	189/279/298	109	272	9	7	32%	11%	66	-1.1	205/296/340	135	284	14	9	30%	11%	82	-0.0	233/312/421	188	299	22	7	28%	10%	105	+1.6
✕Jesús Báez 2024 · A	19	35→41	40→55	45	46	177/246/265	88	234	7	9	27%	8%	46	-2.6	218/275/368	150	257	19	8	23%	6%	80	-0.1	226/279/407	181	249	27	8	22%	6%	89	+0.4
✕Juan Brito 2022 · A	20	44→50	41→50	47→45	46	215/282/311	96	276	9	12	25%	8%	70	-0.9	234/317/368	134	286	12	9	21%	10%	96	+1.0	231/317/370	139	276	13	9	20%	10%	94	+0.8
✕Michael Chavis 2016 · A	20	37→46	45→60	45	33	188/231/313	125	290	13	7	39%	5%	51	-2.3	214/262/367	153	294	18	5	33%	5%	76	-0.4	237/293/439	202	305	28	3	31%	6%	102	+0.9
✕Carlos Rodriguez 2023 · A	20	37	39→45	47→45	49	178/272/261	83	262	6	6	32%	10%	55	-1.9	190/264/264	74	295	5	6	34%	9%	52	-2.2	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Luis Suisbel 2023 · A	20	33→43	38→50	46→45	40	163/257/237	74	251	5	6	34%	7%	45	-2.7	200/279/328	128	306	15	5	37%	7%	73	-0.6	191/267/326	136	288	18	4	38%	7%	68	-0.8
✕Parker Meadows 2021 · A	21	40→48	41→55	46→55	42	198/255/291	92	273	9	9	30%	7%	54	-2.0	206/267/338	132	276	14	13	29%	7%	70	-0.8	229/297/399	170	285	18	21	26%	8%	94	+0.9
✕Thayron Liranzo 2023 · A	20	39→43	47→50	48→30	43	197/269/333	136	279	14	5	33%	8%	70	-0.8	211/298/368	157	314	18	2	35%	11%	89	+0.5	200/293/350	150	295	17	1	35%	11%	80	-0.1
✕Jhostynxon Garcia 2023 · A	20	36→44	40→50	47→50	46	175/264/271	96	263	7	8	34%	10%	55	-2.0	204/267/339	135	290	14	10	33%	7%	70	-0.8	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Ronny Mauricio 2021 · A	20	45→53	38→55	41→55	36	216/246/298	82	288	5	5	27%	3%	51	-2.2	237/271/396	159	306	20	14	29%	4%	85	+0.2	253/293/416	163	316	21	21	26%	5%	96	+0.8
✕Rodolfo Castro 2019 · A	20	39→42	44→55	47→50	37	198/240/315	117	272	11	5	31%	5%	54	-2.0	203/245/352	149	282	17	6	33%	5%	65	-1.2	211/274/367	156	276	20	7	30%	7%	79	-0.2
✕Eddys Leonard 2021 · A	20	42→47	39→50	45→50	45	198/273/287	89	286	6	8	31%	8%	61	-1.5	229/297/377	148	305	16	5	29%	7%	91	+0.6	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕Alexander Canario 2019 · A	19	39→36	41→60	47→50	46	193/265/292	98	258	9	12	28%	8%	59	-1.7	209/266/356	147	291	17	11	33%	7%	74	-0.5	210/280/412	202	285	27	13	35%	8%	90	+0.4
✕Max Stassi 2012 · A	21	41→45	43→55	43→40	40	200/264/310	109	298	11	5	35%	7%	63	-1.4	225/277/371	146	299	17	4	30%	5%	82	-0.0	216/302/377	161	281	21	0	29%	10%	94	+0.4
✕Kyle Higashioka 2011 · A	21	41→43	42→60	41→45	44	201/257/300	99	250	9	3	23%	6%	57	-1.8	198/245/316	118	243	13	4	24%	5%	57	-1.8	230/276/419	189	272	26	4	26%	6%	93	+0.4
✕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
✕Isiah Gilliam 2017 · A	21	39→47	44→55	47→55	37	198/244/313	116	278	12	5	33%	5%	55	-1.9	204/257/329	125	311	13	6	37%	6%	64	-1.3	219/300/388	170	334	20	19	38%	9%	91	+0.4

Elvin Garcia

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps