Victor Garcia

C DSL Cubs Red

Age 19 L/R 6'0" / 160 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#775ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Cubs Blue	42	.242/.390/.242	0	1	36	—	.171/.293/.171
2026	18	ROKDSL Cubs Red	94	.286/.511/.460	1	4	94	—	.197/.380/.324
2027PROJMLE	19	MLBCHC	204	.217/.311/.299	1	4	77	0.1
2028PROJ34% MLB	20	MLBCHC	37	.223/.318/.317	0	1	81	0.1
2029PROJ48% MLB	21	MLBCHC	98	.226/.320/.328	1	2	85	0.2

Next 3 projected WAR 0.4Projected 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

BB%99

Chase%98

wOBA94

wRC+93

Z-Con%93

Whiff%91

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsBo Naylor (age 19) · Randy Florentino (age 19) · Kevyn Castillo (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 51 proj PA

wRC+†77

AVG/OBP/SLG.215 / .309 / .296

PA51

HR0

K%24

BB%11

ISO83

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$38M 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	+0.9	$2M	+$2M
2034	Pre-Arb	$1.0M	+0.9	$2M	+$2M
2035	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2036	Arb-1	$3M	+0.7	$1M	+$0.3M
2037	Arb-2	$4M	+0.6	$1M	+$0.0M (cut)
2038	Arb-3	$5M	+0.5	$0.9M	+$0.0M (cut)
Totals		$6M		$10M	+$5M

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)
2025	17	ROK	DSL Cubs Blue	—	42	33	8	0	0	0	8	6	0	1	0	242	390	242	633		286	14	19	305	36	—	—	—	—	—	—
2026	18	ROK	DSL Cubs Red	—	94	63	18	6	1	1	28	16	1	4	4	286	511	460	971	175	354	17	30	433	94	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Cubs Blue	—	42	35	6	0	0	0	6	7	0	1	0	171	293	171	464		196	17	14	222	36	—	—	—	—	—	—
2026	18	ROK MLE	DSL Cubs Red	—	94	71	14	4	1	1	20	20	1	4	4	197	380	324	704	127	226	21	21	307	94	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cubs Blue	—	42	35	6	0	0	0	6	7	0	1	0	171	293	171	464		207	17	14	222	36	—	—	—	—	—	—
2025	17	ROK RAW	DSL Cubs Blue	—	42	33	8	0	0	0	8	6	0	1	0	242	390	242	633		286	14	19	305	36	—	—	—	—	—	—
2026	18	ROK MLE	DSL Cubs Red	—	94	71	14	4	1	1	20	20	1	4	4	197	380	324	704	127	250	21	21	307	94	—	—	—	—	—	—
2026	18	ROK RAW	DSL Cubs Red	—	94	63	18	6	1	1	28	16	1	4	4	286	511	460	971	175	354	17	30	433	94	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cubs Blue	—	42	36	6	0	0	0	6	7	0	1	0	167	293	167	459		196	17	14	222	36	—	—	—	—	—	—
2026	18	ROK MLE	DSL Cubs Red	—	94	73	14	4	1	1	20	20	1	4	4	192	380	315	696	123	226	21	21	307	94	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Cubs Blue	—	42	36	6	0	0	0	6	7	0	1	0	167	293	167	459		196	17	14	222	36	—	—	—	—	—	—
2026	18	ROK MLE	DSL Cubs Red	—	94	73	14	4	1	1	20	20	1	4	4	192	380	315	696	123	226	21	21	307	94	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	CHC	0%	204	177	38	7	2	1	23	50	2	4	1	217	311	299	611	83	289	25	11	282	77	-6	+0	+0	+4	+4	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	CHC	34%	107	93	21	4	1	1	12	26	1	2	1	221	315	312	627	91	290	24	11	289	81	-2	+0	+0	+2	+2	0.2
2029	21	MLB MLE	CHC	48%	202	176	39	7	2	2	22	48	2	4	1	224	318	323	641	99	292	24	11	294	85	-4	+0	+0	+4	+4	0.5
2030	22	MLB MLE	CHC	54%	312	272	61	11	2	4	34	74	3	6	2	227	320	333	653	106	292	24	11	298	88	-4	+0	+0	+6	+7	0.8
2031	23	MLB MLE	CHC	57%	397	347	79	14	3	6	43	94	4	8	2	229	321	342	663	112	293	24	11	302	90	-5	+1	+0	+7	+9	1.2
2032	24	MLB MLE	CHC	57%	445	390	90	16	3	8	48	105	4	8	3	232	323	349	671	117	294	24	11	305	92	-4	+0	+0	+8	+10	1.4
2033	25	MLB MLE	CHC	57%	445	390	90	16	3	8	48	105	4	8	3	232	323	351	674	119	294	24	11	306	93	-4	+0	+0	+8	+10	1.5
2034	26	MLB MLE	CHC	56%	445	390	90	16	3	8	48	105	4	8	3	232	323	353	676	121	294	24	11	307	94	-3	+0	+0	+8	+10	1.5
2035	27	MLB MLE	CHC	55%	445	390	90	16	3	8	48	105	4	8	3	231	322	350	672	119	293	24	11	305	93	-4	+0	+0	+8	+10	1.4
2036	28	MLB MLE	CHC	59%	445	390	89	16	3	8	48	106	4	8	3	229	320	345	665	116	292	24	11	302	91	-5	+0	-1	+8	+10	1.3
2037	29	MLB MLE	CHC	61%	445	390	88	16	3	7	48	107	4	8	3	227	317	339	656	112	291	24	11	299	88	-6	+0	-1	+8	+10	1.1
2038	30	MLB MLE	CHC	62%	445	391	88	16	3	7	47	109	4	7	3	223	314	331	644	107	289	24	11	294	85	-8	+0	-2	+8	+10	0.8
2039	31	MLB MLE	CHC	63%	426	375	83	15	3	6	45	106	3	7	5	219	309	320	629	101	286	25	11	288	81	-10	-1	-3	+8	+9	0.4
2040	32	MLB MLE	CHC	64%	407	359	76	13	2	5	42	103	3	6	7	214	302	308	610	94	282	25	10	280	76	-12	-2	-4	+7	+9	-0.1
2028	20	MLB CTX	CHC	34%	37	33	6	1	0	0	4	9	0	1	0	223	318	317	635	94	294	24	11	291	81	-1	+0	+0	+1	+1	0.1
2029	21	MLB CTX	CHC	48%	98	86	20	4	1	1	11	23	1	2	1	226	320	328	648	102	295	23	11	297	85	-2	+0	+0	+2	+2	0.2
2030	22	MLB CTX	CHC	54%	169	146	33	6	1	2	19	40	2	3	1	229	322	338	660	108	296	24	11	301	88	-2	+0	+0	+3	+4	0.5
2031	23	MLB CTX	CHC	57%	225	197	45	8	2	3	24	53	2	4	1	232	323	346	669	114	297	24	11	304	90	-3	+0	+0	+4	+5	0.7
2032	24	MLB CTX	CHC	57%	252	221	52	10	2	4	27	59	2	5	1	234	325	353	677	119	298	23	11	307	92	-2	+1	+0	+4	+5	0.8
2033	25	MLB CTX	CHC	57%	251	220	51	9	2	4	27	59	2	5	1	234	325	355	680	121	298	24	11	308	93	-2	+1	+0	+4	+5	0.9
2034	26	MLB CTX	CHC	56%	251	220	51	9	2	4	27	59	2	5	1	235	325	357	682	122	298	24	11	309	94	-2	+1	+0	+4	+5	0.9
2035	27	MLB CTX	CHC	55%	247	216	50	9	2	4	27	58	2	5	1	233	324	354	678	121	297	23	11	307	93	-2	+1	+0	+4	+5	0.8
2036	28	MLB CTX	CHC	59%	263	231	53	10	2	4	28	63	2	5	2	231	322	349	671	118	296	24	11	304	91	-3	+0	-0	+5	+6	0.7
2037	29	MLB CTX	CHC	61%	271	238	54	10	2	4	29	65	2	5	2	229	319	342	662	114	295	24	11	301	88	-4	+0	-1	+5	+6	0.6
2038	30	MLB CTX	CHC	62%	277	243	55	10	2	4	30	68	2	5	2	225	315	334	650	109	293	25	11	296	85	-5	+0	-1	+5	+6	0.5
2039	31	MLB CTX	CHC	63%	269	237	52	9	2	4	28	67	2	4	3	221	310	324	635	103	289	25	10	290	81	-6	-0	-2	+5	+6	0.2
2040	32	MLB CTX	CHC	64%	259	228	49	9	2	3	27	66	2	4	4	216	304	311	616	96	285	25	10	282	76	-7	-1	-2	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2869	2516	571	104	22	41	308	689	23	53	20	227	317	335	651	108	295	24	11	300	88	-41	+3	-7	+51	+62	7.0
/ 162G	—	A+C		—	650	570	130	24	5	9	70	156	5	12	5	228	317	335	652	107	297	24	11	300	88	-9	+1	-1	+12	+14	1.6
Career	—	MLE		—	5153	4504	1013	182	35	79	565	1232	45	94	43	225	317	333	651	109	290	24	11	298	88	-72	+2	-10	+90	+109	12.1
/ 162G	—	MLE		—	650	568	127	23	4	10	71	155	6	12	5	224	316	331	647	107	288	24	11	298	88	-9	+0	-1	+12	+14	1.6

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 DSLDSL Cubs Red · 94 PAwOBA .434 → .307 (−127)K% 17.0% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.02%	÷1.000	×1.220	—	—	20.77%
BB% (unintentional) /PA	29.79%	÷1.000	×0.700	—	×1.008	21.01%
HBP% /PA	1.06%	—	×0.700	—	×1.008	0.75%
Singles /BIP	21.28%	÷1.000	×0.680	×0.983	×1.008	14.33%
Doubles /BIP	12.77%	÷1.000	×0.600	×0.983	×1.008	7.59%
Triples /BIP	2.13%	÷1.000	×0.600	×0.983	×1.008	1.26%
Home runs /BIP	2.13%	÷1.000	×0.470	—	×1.008	1.01%

Factors used: level-wide DSL 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 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 ×0.983.

Result: wOBA .434 → .307; ISO .175 → .113; BABIP .354 → .226. 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 Cubs Blue · 42 PAwOBA .306 → .222 (−84)K% 14.3% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.001	×1.220	—	—	17.41%
BB% (unintentional) /PA	19.05%	÷1.006	×0.700	—	×1.022	13.55%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	29.63%	÷1.016	×0.680	—	×1.022	20.27%
Doubles /BIP	0.00%	÷0.928	×0.600	—	×1.022	0.00%
Triples /BIP	0.00%	÷1.038	×0.600	—	×1.022	0.00%
Home runs /BIP	0.00%	÷0.926	×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 85, 1B 103, 2B 86, 3B 108, K 100, BB 101 — 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).

Result: wOBA .306 → .222; ISO .000 → .000; BABIP .286 → .196. 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
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Austin Barneslast yr '24 career totals — 8 seasons, 1,639 PA	2.5	1,639	35	22	225	325	344	+29	+59	12.4	12.5
/162	664	14	9	+11.9	+23.8	5.0	pk7: 13
#3Jacob 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
#4Mike Fitzgerald'83-'92 * career totals — 9 seasons, 2,667 PA	4.0	2,667	48	31	234*	320*	372*	+43	-1	9.5	9.3
/162	664	12	8	+10.8	-0.3	2.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.4	2,920	46	52	227	315	338	+52	+32	9.3	8.0
/162	664	10	12	+11.9	+7.3	2.1	pk7: 7
#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
#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
Victor Garcia (OGILVIE)	19	—	—	—	—	215/309/296	82	289	0	1	24%	11%	77	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Bo Naylor 2019 · A	19	45→46	39→55	52→50	46	212/280/301	90	299	6	9	30%	9%	66	-1.1	196/254/318	122	282	11	8	33%	7%	60	-1.6	218/311/396	178	274	21	12	27%	11%	100	+1.0
✕Randy Florentino 2019 · A	19	43	41→45	45	56	204/303/316	112	273	7	8	26%	12%	79	-0.2	186/265/271	85	280	6	5	33%	9%	55	-2.0	183/231/259	76	238	8	4	26%	5%	37	-1.0
✕Kevyn Castillo 2024 · A	19	49→46	38→50	54→55	53	227/310/317	91	295	4	19	23%	10%	81	-0.1	232/306/336	104	327	8	14	29%	9%	84	+0.1	232/311/351	119	315	11	14	28%	9%	86	+0.2
✕Hector Osorio 2024 · A	19	44	35→45	51→50	62	200/321/262	62	245	2	15	17%	13%	76	-0.4	216/319/308	92	262	8	12	19%	11%	84	+0.1	223/323/350	127	253	16	10	18%	10%	93	+0.4
✕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
✕Marco Vargas 2024 · A	19	45→46	37→40	50→60	57	208/302/289	81	267	4	13	22%	12%	72	-0.7	214/295/280	66	304	3	25	27%	10%	67	-1.1	220/295/283	63	320	3	36	29%	9%	65	-0.6
✕Aron Estrada 2024 · A	19	47→54	41→50	52→55	54	220/310/327	107	272	6	9	20%	10%	84	+0.2	247/301/365	118	304	11	21	22%	6%	88	+0.5	258/306/387	130	312	14	21	21%	5%	93	+0.7
✕Dario Laverde 2024 · A	19	46→34	37→40	52→30	50	214/292/297	83	279	3	11	23%	9%	70	-0.9	207/268/284	77	295	4	4	29%	7%	57	-1.8	196/254/265	68	282	4	0	30%	6%	45	-1.6
●Josue De Paula 2024 · A	19	52→54	38→50	51→55	52	242/326/327	85	316	5	14	23%	10%	89	+0.5	236/331/360	124	307	12	20	25%	12%	99	+1.3	241/338/391	150	298	16	24	23%	12%	106	+1.5
✕Michael Arroyo 2024 · A	19	44→51	40→50	46→50	49	208/316/308	101	279	6	7	25%	9%	84	+0.1	228/322/372	144	297	15	11	27%	8%	99	+1.3	232/324/382	150	294	16	12	25%	8%	100	+1.3
✕Termarr Johnson 2023 · A	19	46→53	41→45	52→55	47	212/293/316	104	323	7	14	34%	10%	75	-0.5	217/315/345	128	302	15	12	30%	12%	91	+0.6	218/312/337	119	292	14	14	28%	11%	85	+0.2
✕Richi Sanchez 2014 · A	20	48	38→40	50	60	221/321/305	85	261	4	10	16%	12%	83	+0.1	203/276/272	69	258	3	7	20%	9%	58	-1.7	170/226/236	67	206	0	6	17%	6%	28	-0.9
✕Ronny Hernandez 2024 · A	19	44→53	39→40	49→30	46	211/281/302	91	288	6	4	28%	8%	67	-1.1	227/301/310	83	296	7	3	24%	9%	76	-0.4	229/306/323	94	287	11	1	22%	10%	79	-0.1
✕Carlos Sanchez 2024 · A	19	49→54	37→40	50	56	218/326/301	83	327	4	13	30%	13%	84	+0.2	217/305/303	86	356	6	12	36%	11%	76	-0.4	225/310/326	101	351	8	14	35%	11%	79	-0.1
✕Abrahan Ramirez 2024 · A	19	47→46	36→45	51→55	59	218/319/284	66	282	2	16	21%	12%	78	-0.3	220/304/299	79	303	4	13	26%	10%	75	-0.5	214/298/296	82	295	5	16	27%	10%	70	-0.4
✕Jesus Rodriguez 2021 · A	19	45→55	40→45	49→50	48	215/278/314	99	274	7	9	23%	8%	68	-1.0	227/295/327	100	280	6	12	20%	8%	78	-0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕Cam Maron 2010 · A	19	47→57	40	50→40	47	223/290/317	95	292	7	7	25%	8%	74	-0.6	241/309/329	88	308	7	5	22%	8%	83	+0.1	245/318/319	74	316	4	2	22%	9%	82	-0.0
●Moisés Ballesteros 2022 · A	18	43→53	38→50	50→40	55	201/288/280	79	244	5	8	19%	10%	65	-1.2	227/293/354	127	281	14	4	23%	8%	84	+0.1	266/327/397	130	316	14	3	20%	8%	104	+1.4
✕Hank Conger 2007 · A	19	47→57	40→50	54→45	44	224/275/327	103	289	6	6	24%	6%	70	-0.9	250/289/389	139	299	15	6	21%	5%	90	+0.6	260/314/394	134	302	14	2	18%	7%	99	+0.9
✕Victor Ortega 2023 · A	19	47	37→45	43→45	52	219/302/295	76	287	4	6	24%	10%	74	-0.6	212/314/272	60	270	2	7	19%	12%	74	-0.6	222/329/302	80	289	4	3	21%	12%	84	+0.1

Victor Garcia

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps