Kevin Garcia — OGILVIE

Kevin GarciaC Wilson Warbirds

Age 19 R/R 6'0" / 177 lbs A HR +10%K +6% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION235 act + 22 ros · stats below = ROS only

showingROS

wRC+†41

AVG/OBP/SLG.190 / .227 / .238

PA22

HR0

K%36

BB%5

BABIP261

ISO48

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · ContractCON 25 / POW 45

Toolsscout grade

CONTACT25

scouting grade only

POWER45

scouting grade only

EYE43

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2035	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$2M	+$0.0M

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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 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 Brewers 1	—	88	75	14	1	1	3	10	28	1	3	0	187	291	347	637	160	239	32	11	284	78	-2	+1	—	—	+2	0.0
2025	18	A	Carolina Mudcats	—	54	50	15	2	0	0	3	10	1	0	0	300	352	340	692	40	375	19	6	318	101	+0	+0	—	—	+1	0.1
2025	18	ROK	ACL Brewers	—	142	121	29	4	0	5	10	50	10	1	1	240	348	397	744	157	358	35	7	338	115	+2	-0	—	—	+3	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Brewers 1	—	88	79	10	1	1	2	6	41	1	3	0	127	198	241	438	114	173	47	7	176	5	-10	+1	—	—	+2	-0.8
2025	18	A MLE	Carolina Mudcats	—	54	51	14	2	0	0	2	14	1	0	0	275	315	314	629	39	364	26	4	269	68	-2	+0	—	—	+1	-0.1
2025	18	ROK MLE	ACL Brewers	—	142	125	17	2	0	3	6	74	10	1	1	136	234	224	458	88	264	52	4	203	24	-13	-0	—	—	+3	-1.0
2024	17	ROK MLE	DSL Brewers 1	—	88	79	10	1	1	2	6	41	1	3	0	127	198	241	438	114	211	47	7	176	5	—	—	—	—	—	—
2024	17	ROK RAW	DSL Brewers 1	—	88	75	14	1	1	3	10	28	1	3	0	187	291	347	637	160	239	32	11	284	5	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	196	176	31	4	0	3	8	88	11	1	1	176	256	250	506	74	326	45	4	221	36	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	196	171	44	6	0	5	13	60	11	1	1	257	349	380	729	123	364	31	7	332	36	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 1	—	88	81	10	1	1	2	6	41	1	3	0	123	198	235	432	111	173	47	7	176	5	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	196	175	31	4	0	3	8	88	11	1	1	177	256	251	508	74	292	45	4	221	36	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Brewers 1	—	88	81	10	1	1	2	6	41	1	3	0	123	198	235	432	111	173	47	7	176	5	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	196	175	31	4	0	3	8	88	11	1	1	177	256	251	508	74	292	45	4	221	36	—	—	—	—	—	—
YTD	19	A MLE	MIL	—	235	218	31	5	1	4	9	112	4	4	0	142	190	229	420	87	255	48	4	191	15	-24	+1	+0	+4	+5	-1.4
▸ 2026 season
YTD	19	A RAW	MIL	—	235	212	43	7	2	6	15	79	4	4	0	203	268	340	608	137	282	34	6	270	15	—	—	—	—	—	—
ROS	19	A MLE	MIL	0%	22	21	4	1	0	0	1	8	0	0	0	190	227	238	465	48	262	36	5	229	41	-2	+0	+0	+0	+0	-0.1
TOT	19	A MLE	MIL	—	257	239	35	6	1	4	10	120	4	4	0	146	194	230	424	84	261	47	4	194	18	-25	+1	+0	+5	+6	-1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	MIL	34%	303	279	53	9	2	6	16	102	5	5	1	190	247	301	548	111	269	34	5	247	53	-17	+1	+0	+5	+7	-0.4
2028	21	MLB MLE	MIL	48%	411	378	74	13	2	10	23	133	7	7	1	196	255	320	575	124	271	32	6	258	61	-19	+1	+0	+7	+9	-0.2
2029	22	MLB MLE	MIL	54%	486	447	90	16	3	12	28	153	8	9	2	201	261	331	592	130	273	31	6	265	66	-20	+1	+0	+9	+11	0.0
2030	23	MLB MLE	MIL	57%	520	476	97	17	3	13	31	162	8	9	2	204	264	334	598	130	274	31	6	269	68	-20	+1	+0	+9	+11	0.2
2031	24	MLB MLE	MIL	57%	520	476	98	17	3	14	31	161	8	10	2	206	266	342	608	137	275	31	6	271	70	-19	+1	+0	+9	+11	0.3
2032	25	MLB MLE	MIL	57%	520	475	98	17	3	14	31	161	9	10	2	206	268	343	611	137	275	31	6	273	71	-18	+1	+0	+9	+11	0.4
2033	26	MLB MLE	MIL	56%	520	474	98	17	3	14	32	161	9	10	2	207	270	344	614	137	275	31	6	273	71	-18	+1	+0	+9	+11	0.4
2034	27	MLB MLE	MIL	55%	520	474	98	17	3	14	32	161	9	10	2	207	270	344	614	137	275	31	6	273	71	-18	+1	+0	+9	+11	0.4
2035	28	MLB MLE	MIL	55%	520	473	97	17	3	14	33	162	9	10	2	205	270	342	612	137	274	31	6	272	70	-18	+1	-1	+9	+11	0.3
2036	29	MLB MLE	MIL	53%	520	473	96	17	2	14	33	163	9	9	2	203	268	336	604	133	273	31	6	270	69	-19	+1	-1	+9	+11	0.1
2027	20	MLB CTX	MIL	34%	104	96	18	3	1	2	5	35	2	2	0	188	243	302	545	115	267	34	5	236	53	-6	+0	+0	+2	+2	-0.1
2028	21	MLB CTX	MIL	48%	199	183	36	6	1	5	11	64	3	3	1	197	254	322	576	126	270	32	6	247	61	-9	+0	+0	+4	+4	-0.1
2029	22	MLB CTX	MIL	54%	264	243	49	9	1	7	15	83	4	5	1	202	260	333	593	132	272	31	6	254	66	-11	+1	+0	+5	+6	0.0
2030	23	MLB CTX	MIL	57%	294	270	56	10	2	8	17	91	5	5	1	207	267	348	615	141	273	31	6	259	68	-11	+1	+0	+5	+6	0.1
2031	24	MLB CTX	MIL	57%	294	269	56	10	2	8	18	91	5	5	1	208	271	349	620	141	274	31	6	261	70	-11	+1	+0	+5	+6	0.2
2032	25	MLB CTX	MIL	57%	294	269	56	10	2	8	18	91	5	5	1	208	271	349	620	141	274	31	6	262	71	-10	+1	+0	+5	+6	0.2
2033	26	MLB CTX	MIL	56%	294	269	56	10	2	8	18	91	5	6	1	208	271	349	620	141	274	31	6	262	71	-10	+1	+0	+5	+6	0.2
2034	27	MLB CTX	MIL	55%	288	263	53	9	1	8	18	89	5	5	1	202	266	335	600	133	273	31	6	262	71	-10	+1	+0	+5	+6	0.2
2035	28	MLB CTX	MIL	55%	285	260	53	9	1	8	18	89	5	5	1	204	269	338	607	135	273	31	6	261	70	-10	+1	-0	+5	+6	0.1
2036	29	MLB CTX	MIL	53%	278	253	52	9	1	8	18	87	5	5	1	206	272	344	616	138	272	31	6	260	69	-10	+1	-1	+5	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2594	2375	485	85	14	70	156	811	44	46	9	204	266	340	606	136	276	31	6	258	65	-98	+6	-1	+46	+56	0.9
/ 162G	—	A+C		—	650	595	122	21	4	18	39	203	11	12	2	205	267	345	611	139	276	31	6	258	65	-25	+1	-0	+12	+14	0.2
Career	—	MLE		—	5146	4701	944	163	28	130	305	1656	93	93	19	201	263	330	594	130	276	32	6	265	65	-187	+11	-2	+87	+105	1.3
/ 162G	—	MLE		—	650	594	120	21	4	16	39	209	12	12	2	202	266	332	597	130	279	32	6	265	65	-25	+1	-0	+12	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#4Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#5J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#6Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.2	2,797	71	51	204	262	335	+50	+24	2.6	2.6
/162	664	17	12	+11.9	+5.7	0.6	pk7: 3

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
Kevin Garcia (OGILVIE)	19	20→25	40→45	45→50	43	177/228/274	97	262	4	3	35%	5%	41	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jesus Galiz 2023 · A	19	38	42→45	49→40	40	191/253/297	106	266	9	5	31%	6%	55	-1.9	201/259/305	104	303	9	3	35%	6%	59	-1.6	191/250/291	100	290	9	2	35%	5%	52	-1.1
✕Jose Colmenares 2021 · A	19	39	39→45	47→50	45	192/256/277	84	251	7	8	26%	7%	52	-2.2	210/290/338	128	295	14	8	31%	9%	79	-0.2	177/254/299	122	259	13	14	35%	8%	55	-0.8
✕Cam Gallagher 2012 · A	19	36	38→45	48→30	42	181/228/253	72	231	7	5	25%	6%	35	-3.4	195/246/281	86	228	7	3	17%	6%	49	-2.4	218/279/324	106	270	9	0	22%	7%	70	-0.2
✕Rey Duran 2009 · A	20	36	41→50	49→40	41	183/243/277	94	256	9	6	31%	6%	47	-2.5	213/267/338	125	268	14	5	25%	6%	70	-0.8	210/263/349	139	246	19	2	23%	5%	69	-0.4
✕Yohan Matos 2016 · A	19	40	41→45	48→45	38	194/251/289	95	288	8	7	34%	6%	53	-2.1	197/259/275	78	321	4	8	37%	7%	52	-2.2	166/241/231	64	289	0	11	39%	8%	33	-0.8
✕Jose Cordoba 2022 · A	19	40	40	46→55	38	195/253/280	85	273	7	8	30%	5%	51	-2.2	200/258/297	97	283	8	10	31%	6%	57	-1.8	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Diego Cartaya 2021 · A	19	43→34	40→50	50→30	40	207/258/304	97	287	8	5	30%	6%	58	-1.7	205/285/365	160	291	20	3	35%	8%	84	+0.2	175/262/336	161	237	23	0	36%	8%	68	-0.6
✕Yordyn Calderon 2013 · A	19	36	42→45	46→50	39	181/247/284	102	272	10	10	36%	7%	51	-2.3	194/268/302	108	283	9	11	33%	7%	63	-1.4	184/266/297	113	261	10	13	31%	8%	59	-0.8
✕Miguel Palma 2021 · A	19	42	41→45	48→40	42	201/285/303	102	283	9	11	30%	7%	70	-0.8	215/292/337	122	284	13	5	27%	8%	80	-0.2	215/282/336	121	275	14	2	26%	7%	74	-0.2
✕Jose Ovalles 2013 · A	19	40	42→45	45→40	47	199/278/308	110	248	9	5	23%	7%	68	-1.0	215/277/321	106	257	9	5	19%	6%	70	-0.9	219/276/329	110	242	9	3	14%	6%	70	-0.3
✕Victor Soto 2008 · A	19	39	39→45	48→60	39	189/241/283	94	268	6	12	31%	5%	47	-2.6	194/247/269	75	274	3	21	28%	5%	46	-2.6	184/234/247	64	257	1	30	27%	5%	34	-0.9
✕Orelvis Martinez 2021 · A	19	42→34	47→60	53→40	42	213/270/351	139	273	14	6	27%	6%	74	-0.5	198/263/384	186	253	25	4	32%	7%	80	-0.1	183/252/373	190	223	27	3	32%	7%	72	-0.6
✕Jason Lopez 2017 · A	19	40	38→50	49→45	43	195/258/270	75	266	5	11	28%	7%	51	-2.3	202/252/306	104	278	9	7	29%	5%	57	-1.8	161/223/251	90	239	8	7	35%	7%	32	-1.1
✕Alexander Mojica 2022 · A	19	39	42→45	47→40	42	194/267/295	101	284	11	4	34%	8%	61	-1.5	182/265/292	110	306	11	4	40%	9%	60	-1.6	148/247/263	115	255	13	2	43%	10%	45	-0.9
✕Freuddy Batista 2019 · A	19	39	43→50	45→40	39	193/258/301	108	287	10	4	35%	7%	59	-1.7	193/250/310	117	295	12	5	37%	6%	57	-1.8	199/268/348	150	286	16	5	34%	6%	71	-0.4
✕Rodolfo Castro 2018 · A	19	41	42→55	47→50	39	203/257/313	110	287	8	5	31%	6%	60	-1.6	193/233/321	128	274	13	5	34%	5%	53	-2.1	206/269/359	153	269	19	7	30%	7%	74	-0.4
✕Wendell Rijo 2015 · A	19	42→43	41→50	51→50	44	205/270/309	104	282	7	12	28%	7%	64	-1.3	200/251/288	88	282	6	11	30%	6%	52	-2.2	208/265/349	141	264	16	14	28%	6%	69	-0.6
✕Bryan Ramos 2022 · A	20	40→42	45→50	49→50	41	200/269/322	122	272	12	8	30%	6%	68	-1.0	213/273/348	135	267	17	5	26%	6%	75	-0.5	208/267/338	130	255	17	5	26%	6%	68	-0.8
✕Cristian Santana 2023 · A	19	38→20	45	46→45	47	184/303/304	121	280	12	11	35%	10%	78	-0.3	155/294/273	118	250	14	6	39%	14%	70	-0.9	138/279/280	142	192	20	5	38%	14%	65	-0.7
✕Ranfy Adon 2017 · A	19	36	39→45	49→50	41	180/246/264	84	259	7	12	32%	7%	46	-2.6	198/245/300	102	329	8	12	40%	5%	53	-2.1	176/236/282	105	327	9	25	46%	5%	44	-0.6

Career Stats + Projections

Career Comps

Career Path Comps