Cristian Garcia — OGILVIE

Cristian Garcia3B Inland Empire 66ers

Age 22 S/R 6'1" / 168 lbs A HR +3% Svc 0.0 · Ctrl thru 2036 peak 0.9 · 2030

wRC+†69

AVG/OBP/SLG.197 / .281 / .319

PA152

HR3

K%33

BB%9

MLB%0%

Scouting · now → future

HIT

20↗25

PWR

37↗42

SPD

44↗49

EYE

58↗63

trajectory · 10 yrs

0.9peak

2030

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	+0.9	$4M	+$3M
2032	Pre-Arb	$0.9M	+0.9	$4M	+$3M
2033	Pre-Arb	$1.0M	+0.7	$3M	+$2M
2034	Arb-1	$1M	+0.5	$3M	+$2M
2035	Arb-2	$0.7M	+0.3	$2M	+$0.9M
2036	Arb-3	$0.6M	—	—	—
Totals		$4M		$16M	+$12M

Career Projections (MLE)

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.

Year	Age	Lvl	Team	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
2021	17	ROK	DSL Angels	155	135	24	8	1	1	15	35	3	8	7	.178	.275	.274	.549	.096	.228	23	10	.244	45	-10	-1	+0	+1	+4	-0.6
2022	18	ROK	ACL Angels	189	171	30	4	1	2	11	61	3	1	1	.175	.238	.246	.483	.070	.252	32	6	.214	22	-17	-0	+0	+1	+5	-1.1
2023	19	ROK	ACL Angels	184	157	31	3	4	2	23	66	2	1	0	.197	.308	.306	.613	.108	.319	36	12	.276	69	-6	+0	+0	+1	+5	-0.0
2024	20	A	2 teams	290	250	41	13	0	4	31	113	5	2	1	.164	.269	.264	.533	.100	.270	39	11	.240	42	-19	+0	+0	+1	+8	-1.0
▸ 2026 Season
2026	22	MLB	SEA	152	135	26	5	1	3	14	50	2	2	1	.193	.278	.311	.589	.119	.282	33	9	.275	69	-5	+0	+0	+1	+4	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	SEA	176	155	32	6	1	4	17	55	2	3	1	.206	.293	.335	.629	.129	.284	31	10	.286	77	-5	+0	+0	+1	+5	0.1
2028	24	MLB 26%	SEA	296	262	55	11	1	8	29	90	3	5	1	.210	.296	.351	.647	.141	.285	30	10	.293	82	-6	+1	+0	+1	+8	0.4
2029	25	MLB 43%	SEA	373	329	71	14	2	10	37	111	4	7	2	.216	.303	.362	.664	.146	.286	30	10	.298	86	-6	+1	+0	+1	+11	0.7
2030	26	MLB 58%	SEA	422	371	80	15	2	12	43	125	5	8	2	.216	.305	.364	.669	.148	.287	30	10	.300	88	-6	+1	+0	+2	+12	0.9
2031	27	MLB 76%	SEA	447	393	84	16	2	12	46	133	5	8	2	.214	.304	.356	.660	.142	.287	30	10	.300	88	-6	+1	+0	+2	+13	0.9
2032	28	MLB 84%	SEA	459	404	86	17	2	12	47	137	5	8	1	.213	.303	.354	.657	.141	.287	30	10	.299	87	-7	+1	-1	+2	+13	0.9
2033	29	MLB 90%	SEA	460	404	85	16	2	12	48	139	5	7	1	.210	.302	.349	.651	.139	.286	30	10	.297	85	-8	+1	-1	+2	+13	0.7
2034	30	MLB	SEA	457	401	84	16	2	12	48	139	5	7	1	.209	.302	.349	.651	.140	.284	30	11	.294	83	-9	+1	-2	+2	+13	0.5
2035	31	MLB	SEA	447	393	80	15	2	11	46	138	5	6	0	.204	.295	.336	.631	.132	.283	31	10	.290	80	-10	+1	-3	+2	+13	0.3
2036	32	MLB	SEA	431	378	77	15	2	10	45	135	5	5	0	.204	.297	.333	.630	.130	.281	31	10	.285	77	-11	+1	-4	+2	+12	-0.0
2037	33	MLB	SEA	404	355	70	13	2	9	42	130	4	4	0	.197	.289	.321	.610	.124	.279	32	10	.280	72	-13	+1	-4	+1	+11	-0.3
2038	34	MLB	SEA	360	316	61	11	1	8	37	119	4	4	0	.193	.286	.310	.596	.117	.277	33	10	.273	67	-13	+1	-5	+1	+10	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			5702	5009	1017	198	28	132	579	1776	67	86	21	.203	.294	.333	.627	.130	.282	31	10	.284	76	-156	+9	-20	+20	+162	1.6
/ 162G	—			650	571	116	23	3	15	66	202	8	10	2	.203	.295	.333	.627	.130	.282	31	10	.284	76	-18	+1	-2	+2	+18	0.2

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2021	17	ROK	DSL Angels	155	125	29	10	1	1	25	24	3	8	7	.232	.373	.352	.725	.120	.275	15	16	.333	113	+2	-1	—	—	+4	0.6
2022	18	ROK	ACL Angels	189	165	39	6	2	2	17	43	3	1	1	.236	.319	.333	.652	.097	.301	23	9	.293	83	-4	-0	—	—	+5	0.1
2023	19	ROK	ACL Angels	184	143	38	5	5	2	37	42	2	1	0	.266	.423	.413	.836	.147	.356	23	20	.378	147	+10	+0	—	—	+5	1.6
2024	20	A	Inland Empire 66ers	200	164	29	11	0	2	29	62	4	1	1	.177	.315	.280	.595	.104	.262	31	14	.280	72	-6	-0	—	—	+6	-0.1
2024	20	ROK	ACL Angels	90	69	19	6	0	2	19	19	1	1	0	.275	.438	.449	.887	.174	.347	21	21	.398	163	+6	+0	—	—	+3	0.9

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
Cristian Garcia (OGILVIE)	22	20→25	37→42	44→49	63	.197/.281/.319	.123	.282	3	2	33%	9%	69	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	.188/.259/.305	.117	.281	12	9	36%	7%	55	-1.4	.194/.278/.291	.097	.346	7	8	42%	9%	59	-1.1	.146/.273/.221	.075	.359	3	4	52%	12%	39	-0.5
✕Skye Bolt 2017 · A	23	41→39	40→50	47→50	42	.198/.260/.294	.095	.271	7	9	28%	6%	52	-1.6	.200/.260/.327	.127	.289	12	10	33%	7%	60	-1.0	.234/.302/.369	.135	.310	15	12	28%	8%	86	+0.3
✕Jacob Wetzel 2023 · A	23	39→34	44→45	50	45	.197/.277/.309	.111	.273	12	10	31%	8%	63	-0.8	.192/.266/.304	.112	.282	10	13	33%	8%	57	-1.2	.182/.255/.299	.117	.273	8	16	34%	8%	48	-0.9
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Kevin Padlo 2018 · A	22	36→40	45→55	44→50	48	.184/.270/.312	.128	.257	13	8	32%	10%	62	-0.9	.195/.278/.343	.148	.287	15	8	35%	9%	73	-0.1	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Anderson Gomes 2007 · A	22	41→38	43→45	47→50	39	.205/.252/.313	.108	.275	10	9	29%	5%	53	-1.5	.220/.270/.333	.113	.292	11	7	27%	6%	66	-0.6	.223/.275/.335	.112	.290	12	5	26%	6%	67	-0.2
✕Cole Roederer 2022 · A	22	40→33	41→45	50	44	.196/.269/.293	.097	.285	8	12	32%	8%	56	-1.3	.202/.266/.324	.122	.299	13	11	35%	7%	63	-0.9	.179/.252/.298	.118	.265	14	11	36%	8%	49	-1.0
✕Marcus Greene Jr. 2017 · A	22	35	46→50	45→40	40	.185/.251/.313	.128	.265	15	5	35%	7%	53	-1.5	.209/.268/.329	.120	.279	13	4	28%	7%	65	-0.7	.211/.271/.321	.110	.275	12	2	27%	7%	61	-0.4
✕Yasel Antuna 2022 · A	22	39→35	46→45	43→50	43	.201/.261/.331	.130	.272	13	6	31%	7%	62	-0.9	.183/.264/.286	.103	.259	10	14	31%	9%	52	-1.6	.159/.253/.246	.087	.225	9	18	31%	10%	37	-1.7
✕Tyler Kolodny 2010 · A	22	40→34	44→45	49→50	40	.200/.267/.320	.119	.267	12	8	29%	6%	63	-0.9	.206/.277/.341	.135	.271	14	9	29%	6%	72	-0.2	.206/.284/.354	.148	.258	17	10	26%	5%	76	+0.0
✕Isiah Gilliam 2018 · A	22	41→46	47→55	46→55	40	.208/.259/.344	.136	.280	14	6	30%	6%	64	-0.8	.196/.248/.317	.121	.315	13	7	40%	6%	53	-1.5	.217/.299/.399	.182	.339	23	19	40%	10%	92	+0.7
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	35	.183/.259/.287	.104	.311	11	11	42%	6%	51	-1.7	.198/.263/.310	.112	.287	13	7	34%	6%	58	-1.2	.185/.242/.280	.095	.261	13	5	33%	5%	38	-1.0
✕Drew Robinson 2014 · A	22	43→41	44→55	49→50	45	.206/.285/.324	.118	.300	10	8	33%	9%	71	-0.3	.189/.264/.329	.140	.281	15	11	36%	9%	63	-0.8	.207/.288/.362	.155	.320	17	12	37%	10%	78	+0.1
✕Isan Díaz 2018 · A	22	40	47→55	45	43	.203/.272/.335	.133	.289	14	8	34%	8%	68	-0.5	.205/.274/.346	.141	.290	16	8	33%	8%	72	-0.2	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0
✕Randy Florentino 2023 · A	23	36	41→50	47→45	40	.183/.244/.273	.090	.273	9	7	35%	7%	40	-2.4	.196/.244/.284	.088	.259	9	6	27%	6%	42	-2.3	.184/.224/.260	.076	.231	7	4	23%	4%	25	-1.0
✕Nerwilian Cedeño 2023 · A	21	42→34	43→45	51→50	44	.203/.280/.321	.117	.309	10	15	35%	9%	67	-0.5	.191/.255/.298	.107	.283	10	11	34%	7%	51	-1.7	.179/.237/.275	.096	.257	9	10	33%	6%	35	-1.5
✕Anthony Seigler 2022 · A	23	41→39	41→45	44→55	45	.195/.271/.299	.104	.290	8	6	34%	9%	58	-1.2	.192/.292/.304	.112	.255	10	14	26%	12%	69	-0.4	.200/.299/.321	.122	.247	12	27	23%	12%	74	-0.1
✕Marcus Littlewood 2014 · A	22	41	40→45	47→45	48	.197/.270/.292	.096	.274	7	5	29%	9%	56	-1.3	.207/.273/.320	.113	.269	10	5	26%	8%	64	-0.8	.205/.272/.318	.112	.262	10	4	25%	8%	60	-0.5
✕BJ Murray 2022 · A	22	45→43	42→50	52→50	38	.216/.265/.323	.106	.316	9	8	33%	6%	60	-1.0	.223/.303/.347	.124	.308	12	10	29%	10%	84	+0.6	.200/.286/.344	.144	.257	17	15	28%	10%	74	-0.1
✕Herard Gonzalez 2023 · A	22	43→42	41→40	49→50	44	.202/.276/.300	.098	.309	8	11	35%	9%	60	-1.0	.197/.266/.280	.083	.292	5	9	31%	8%	50	-1.7	.175/.248/.238	.063	.262	1	7	31%	9%	30	-1.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)