Cesar Garcia

2B DSL Marlins

Age 19 L/R 5'9" / 164 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKMIA	105	.173/.362/.309	2	3	23	—	.114/.257/.182
2026	18	ROKMIA	69	.184/.412/.327	0	5	49	—	.111/.294/.185
2027PROJ0% MLB	19	MLBMIA	179	.197/.287/.284	1	3	64	-0.1
2028PROJ34% MLB	20	MLBMIA	54	.196/.286/.285	1	1	70	-0.0
2029PROJ48% MLB	21	MLBMIA	145	.200/.290/.298	2	2	74	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Chase%97

Speed97

BB%93

ISO62

wOBA56

wRC+49

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsCarlos Jimenez (age 19) · Juan Villavicencio (age 19) · Yasmil Bucce (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 67 proj PA

wRC+†64

AVG/OBP/SLG.195 / .284 / .281

PA67

HR0

K%30

BB%10

ISO87

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2036	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-2	$1M	—	—	—
2038	Arb-3	$7M	—	—	—
Totals		$3M		$2M	+$0.3M

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.

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)
2025	17	ROK	DSL Marlins	—	105	81	14	1	2	2	21	33	3	3	3	173	362	309	671	136	261	31	20	321	23	—	—	—	—	—	—
2026	18	ROK	DSL Marlins	—	69	49	9	3	2	0	17	16	2	5	0	184	412	327	738	143	265	23	25	348	49	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Marlins	—	105	88	10	1	1	1	14	41	3	3	3	114	257	182	439	68	180	39	13	202	23	—	—	—	—	—	—
2026	18	ROK MLE	DSL Marlins	—	69	54	6	2	1	0	12	20	2	5	0	111	294	185	479	74	168	29	17	240	49	—	—	—	—	—	—
2025	17	ROK MLE	DSL Marlins	—	105	88	10	1	1	1	14	41	3	3	3	114	257	182	439	68	196	39	13	202	23	—	—	—	—	—	—
2025	17	ROK RAW	DSL Marlins	—	105	81	14	1	2	2	21	33	3	3	3	173	362	309	671	136	261	31	20	321	23	—	—	—	—	—	—
2026	18	ROK MLE	DSL Marlins	—	69	54	6	2	1	0	12	20	2	5	0	111	294	185	479	74	171	29	17	240	49	—	—	—	—	—	—
2026	18	ROK RAW	DSL Marlins	—	69	49	9	3	2	0	17	16	2	5	0	184	412	327	738	143	265	23	25	348	49	—	—	—	—	—	—
2025	17	ROK MLE	DSL Marlins	—	105	87	10	1	1	1	14	41	3	3	3	115	257	184	441	69	180	39	13	202	23	—	—	—	—	—	—
2026	18	ROK MLE	DSL Marlins	—	69	55	6	2	1	0	12	20	2	5	0	109	294	182	476	73	168	29	17	240	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Marlins	—	105	87	10	1	1	1	14	41	3	3	3	115	257	184	441	69	180	39	13	202	23	—	—	—	—	—	—
2026	18	ROK MLE	DSL Marlins	—	69	55	6	2	1	0	12	20	2	5	0	109	294	182	476	73	168	29	17	240	49	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	MIA	0%	179	158	30	5	2	1	17	54	2	3	1	197	287	284	571	87	287	30	9	264	64	-8	+0	+0	+1	+4	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	MIA	34%	157	139	29	5	2	2	15	47	2	3	1	202	292	298	590	96	289	30	10	271	70	-6	+0	+0	+1	+3	-0.2
2029	21	MLB MLE	MIA	48%	299	264	55	9	4	4	29	87	4	5	1	207	296	311	607	104	291	29	10	278	74	-9	+1	+0	+1	+6	-0.1
2030	22	MLB MLE	MIA	54%	404	356	76	13	5	6	39	116	6	7	2	211	299	322	622	112	292	29	10	283	78	-11	+1	+0	+1	+9	0.0
2031	23	MLB MLE	MIA	57%	475	419	89	15	5	8	46	135	7	8	2	214	302	332	634	118	293	28	10	288	81	-11	+1	+0	+2	+10	0.2
2032	24	MLB MLE	MIA	57%	521	459	100	17	6	9	50	146	7	9	3	217	304	340	644	123	294	28	10	292	84	-10	+1	+0	+2	+11	0.4
2033	25	MLB MLE	MIA	57%	549	483	105	18	6	10	53	154	8	9	3	218	305	343	648	125	294	28	10	293	85	-10	+1	+0	+2	+12	0.4
2034	26	MLB MLE	MIA	56%	564	497	108	18	6	11	54	158	8	9	3	218	305	345	650	127	293	28	10	294	85	-10	+1	+0	+2	+12	0.5
2035	27	MLB MLE	MIA	55%	569	501	109	18	6	11	55	160	8	9	3	217	304	342	646	125	293	28	10	293	84	-11	+1	+0	+2	+12	0.4
2036	28	MLB MLE	MIA	55%	567	499	107	18	6	10	55	161	8	7	2	215	302	337	639	122	292	28	10	290	82	-12	+1	-1	+2	+12	0.2
2037	29	MLB MLE	MIA	58%	560	494	105	17	6	10	54	161	7	5	2	212	299	331	630	118	290	29	10	286	80	-13	+0	-1	+2	+12	-0.1
2038	30	MLB MLE	MIA	55%	550	486	102	17	6	9	52	160	7	3	2	209	295	323	618	114	288	29	9	281	77	-15	-0	-2	+2	+12	-0.4
2028	20	MLB CTX	MIA	34%	54	48	10	1	1	1	5	16	1	1	0	196	286	285	572	90	280	30	9	264	70	-2	+0	+0	+0	+1	-0.0
2029	21	MLB CTX	MIA	48%	145	128	26	4	2	2	14	42	2	2	1	200	290	298	588	97	281	29	10	270	74	-4	+0	+0	+1	+3	-0.1
2030	22	MLB CTX	MIA	54%	219	193	39	6	2	3	21	63	3	4	1	204	293	308	601	104	282	29	10	275	78	-6	+0	+0	+1	+5	0.0
2031	23	MLB CTX	MIA	57%	269	237	49	8	3	4	26	76	4	5	1	207	296	317	613	110	283	28	10	280	81	-6	+1	+0	+1	+6	0.1
2032	24	MLB CTX	MIA	57%	295	261	55	9	3	5	28	83	4	5	1	210	298	325	623	115	284	28	9	283	84	-6	+1	+0	+1	+6	0.2
2033	25	MLB CTX	MIA	57%	310	273	57	9	3	5	30	87	4	5	2	211	298	328	626	117	284	28	10	285	85	-6	+0	+0	+1	+7	0.2
2034	26	MLB CTX	MIA	56%	319	281	59	9	3	6	31	89	4	5	2	211	298	330	628	119	284	28	10	286	85	-6	+0	+0	+1	+7	0.3
2035	27	MLB CTX	MIA	55%	315	278	58	9	3	6	30	89	4	5	2	210	298	327	624	117	283	28	10	284	84	-6	+0	+0	+1	+7	0.2
2036	28	MLB CTX	MIA	55%	311	274	57	9	3	5	30	88	4	4	1	208	296	322	618	114	282	28	10	282	82	-7	+0	-0	+1	+7	0.1
2037	29	MLB CTX	MIA	58%	325	287	58	9	3	5	31	93	4	3	1	205	293	316	609	111	281	29	10	278	80	-8	+0	-1	+1	+7	-0.0
2038	30	MLB CTX	MIA	55%	304	268	54	8	3	5	29	88	4	2	1	202	289	309	598	106	279	29	10	273	77	-8	+0	-1	+1	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2866	2528	522	81	29	47	275	814	38	41	13	206	294	317	611	111	282	28	10	280	79	-64	+3	-2	+10	+62	0.9
/ 162G	—	A+C		—	650	573	119	18	7	11	62	185	9	9	3	208	295	321	616	113	283	28	10	280	79	-15	+1	-1	+2	+14	0.2
Career	—	MLE		—	5456	4798	1012	170	61	91	535	1566	78	83	27	211	300	329	629	118	291	29	10	285	79	-121	+5	-4	+19	+114	1.4
/ 162G	—	MLE		—	650	572	120	20	7	11	64	187	9	10	3	210	299	327	626	117	289	29	10	285	79	-15	+1	-1	+2	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#2Gordon 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
#3Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#4George Strickland'50-'60 * career totals — 8 seasons, 3,266 PA	4.9	3,266	36	12	219*	302*	329*	+28	+19	3.8	5.0
/162	664	7	2	+5.7	+3.8	0.8	pk7: 6
#5Ray Mack'38-'47 * career totals — 8 seasons, 3,016 PA	4.5	3,016	34	35	223*	288*	357*	+11	-7	1.7	2.7
/162	664	7	8	+2.4	-1.5	0.4	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.4	2,933	50	41	215	299	334	+10	+7	2.8	2.7
/162	664	11	9	+2.4	+1.6	0.6	pk7: 3
#6Lena Blackburne'10-'27 * career totals — 5 seasons, 2,086 PA	3.1	2,086	4	54	215*	288*	334*	+13	+11	2.0	2.0
/162	664	1	17	+4.2	+3.4	0.6	pk7: 2

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
Cesar Garcia (OGILVIE)	19	—	—	—	—	195/284/281	86	287	0	1	30%	10%	64	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Jimenez 2022 · A	19	36→44	39→50	53→55	48	177/265/262	85	249	7	11	30%	9%	53	-2.1	194/283/299	105	299	9	16	34%	10%	68	-1.0	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Juan Villavicencio 2024 · A	19	36→44	38→50	51→55	47	174/251/254	80	234	5	13	26%	8%	45	-2.7	189/262/280	91	279	7	14	32%	8%	55	-1.9	193/266/307	113	285	10	20	34%	8%	61	-0.6
✕Yasmil Bucce 2024 · A	19	41	38→55	49→40	44	194/265/274	79	279	5	4	30%	8%	55	-2.0	199/299/306	107	308	10	4	35%	11%	76	-0.4	192/301/328	137	300	16	2	37%	12%	79	-0.1
✕Carlos Rodriguez 2022 · A	19	37	39→45	46→45	53	177/289/262	85	262	6	6	31%	12%	63	-1.4	182/260/254	72	283	5	6	34%	9%	49	-2.4	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Isan Díaz 2015 · A	19	34→43	39→55	47→45	40	170/236/260	90	270	6	8	37%	7%	40	-3.0	210/275/349	139	306	13	8	34%	8%	76	-0.4	212/290/379	167	275	21	5	30%	9%	86	+0.2
✕Diomedes Del Rio 2017 · A	19	37	35→55	53→50	43	177/251/241	65	256	2	8	30%	7%	42	-2.9	192/259/282	90	265	4	9	27%	7%	54	-2.0	185/255/303	118	252	4	11	26%	8%	55	-0.6
✕Victor Arias 2023 · A	19	43→50	37→45	49→50	47	199/284/273	74	302	3	11	32%	10%	62	-1.4	217/300/325	108	317	8	16	31%	9%	80	-0.2	226/304/342	116	321	9	18	30%	8%	82	+0.0
✕Eliezer Álvarez 2014 · A	19	36→46	37→45	50→55	46	176/242/253	76	228	4	12	24%	7%	41	-3.0	231/280/336	105	295	5	13	22%	6%	74	-0.6	254/307/364	110	341	6	19	26%	6%	88	+0.3
✕Angel Guzman 2024 · A	18	39	39→45	51→55	51	190/275/281	91	246	6	9	24%	9%	61	-1.5	193/294/290	97	272	8	10	29%	11%	70	-0.8	182/294/282	100	260	9	9	30%	12%	65	-0.4
✕Luis Valenzuela 2013 · A	19	41	37→45	51→45	45	196/255/276	80	259	4	6	25%	7%	51	-2.3	211/250/290	79	273	4	8	23%	5%	51	-2.2	263/285/365	102	319	5	7	19%	2%	78	-0.1
✕Javier Herrera 2024 · A	19	38	39→40	51→55	45	184/262/268	84	272	6	10	32%	9%	53	-2.1	204/298/290	86	279	5	15	26%	11%	71	-0.8	210/307/297	87	289	5	18	26%	11%	74	-0.2
✕Manuel Pena 2023 · A	19	41→50	38→50	47→50	42	198/255/277	79	286	6	10	32%	7%	51	-2.3	213/257/304	91	311	6	8	32%	5%	57	-1.8	238/273/365	128	316	15	5	29%	4%	76	-0.4
✕John Whittleman 2006 · A	19	44→45	37→50	54→45	48	204/279/289	85	286	2	11	27%	9%	63	-1.4	207/281/318	111	283	9	5	28%	9%	71	-0.8	203/292/325	122	277	11	2	29%	11%	76	-0.4
✕Rafael Ramirez Jr. 2024 · A	19	39	39→40	51→45	52	184/289/271	87	279	5	10	32%	12%	64	-1.3	183/279/280	97	312	6	8	38%	11%	62	-1.4	181/284/294	113	294	8	6	37%	12%	65	-0.6
✕Omar Alfonzo 2023 · A	19	35→41	36→45	48→40	50	170/265/234	64	247	4	3	30%	10%	47	-2.6	207/288/311	104	312	11	4	34%	10%	72	-0.7	205/285/317	112	311	13	2	36%	9%	70	-0.6
✕Thayron Liranzo 2022 · A	19	43	37→50	49→30	47	202/280/280	77	287	4	8	29%	9%	62	-1.4	208/291/366	158	303	18	3	35%	10%	86	+0.3	203/298/375	172	290	20	1	35%	11%	87	+0.2
✕Ryan Mount 2006 · A	19	42	38→50	50	42	194/263/278	84	305	5	8	35%	8%	55	-2.0	216/268/330	114	295	12	11	29%	6%	68	-1.0	242/286/380	138	297	15	8	23%	5%	85	+0.1
✕Rio Ruiz 2013 · A	19	43→53	38→50	52→40	42	205/261/298	93	294	4	6	30%	7%	58	-1.7	232/297/350	118	303	9	5	24%	9%	83	+0.1	246/316/351	105	316	8	2	23%	9%	88	+0.4
✕Andrés Nolaya 2024 · A	19	39	36→45	47→50	46	183/256/246	64	263	3	12	30%	8%	45	-2.7	196/270/269	73	284	4	17	30%	8%	55	-1.9	201/281/282	81	280	7	21	28%	8%	61	-0.5
✕Angel Ortiz 2022 · A	19	42→45	41→50	46→45	44	206/261/296	90	269	9	9	26%	7%	57	-1.8	207/257/302	95	281	7	7	27%	6%	57	-1.8	227/286/370	143	294	13	8	26%	7%	82	+0.0

Cesar Garcia

Career Stats + Projections

Career Comps

Career Path Comps