Orlando Pacheco — OGILVIE

Orlando PachecoC DSL LAD Bautista

Age 21 R/R 5'11" / 175 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 51 proj PA

wRC+†68

AVG/OBP/SLG.198 / .294 / .275

PA4

HR0

K%30

BB%9

ISO79

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-3	$1.0M	—	—	—
Totals		$3M		$4M	+$2M

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)
2023	18	ROK	DSL LAD Mega	—	48	34	8	3	0	0	10	8	3	2	1	235	447	324	770	88	296	17	21	366	134	+2	+0	—	—	+1	0.3
2024	19	ROK	DSL LAD Bautista	—	72	46	9	3	0	0	18	18	7	1	0	196	479	261	740	65	321	25	25	375	140	+3	+0	—	—	+2	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL LAD Mega	—	48	38	6	2	0	0	6	12	3	2	1	158	319	211	530	53	234	25	12	266	66	-2	+0	—	—	+1	-0.1
2024	19	ROK MLE	DSL LAD Bautista	—	72	53	7	2	0	0	11	26	7	1	0	132	352	170	522	38	256	36	15	259	61	-3	+0	—	—	+2	-0.2
2023	18	ROK MLE	DSL LAD Mega	—	48	38	6	2	0	0	6	12	3	2	1	158	319	211	530	53	222	25	12	266	66	—	—	—	—	—	—
2023	18	ROK RAW	DSL LAD Mega	—	48	34	8	3	0	0	10	8	3	2	1	235	447	324	770	88	296	17	21	366	66	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Bautista	—	72	53	7	2	0	0	11	26	7	1	0	132	352	170	522	38	259	36	15	259	61	—	—	—	—	—	—
2024	19	ROK RAW	DSL LAD Bautista	—	72	46	9	3	0	0	18	18	7	1	0	196	479	261	740	65	321	25	25	375	61	—	—	—	—	—	—
2023	18	ROK MLE	DSL LAD Mega	—	48	39	6	2	0	0	6	12	3	2	1	154	319	205	524	51	234	25	12	266	66	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Bautista	—	72	54	7	2	0	0	11	26	7	1	0	130	352	167	519	37	256	36	15	259	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL LAD Mega	—	48	39	6	2	0	0	6	12	3	2	1	154	319	205	524	51	234	25	12	266	66	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Bautista	—	72	54	7	2	0	0	11	26	7	1	0	130	352	167	519	37	256	36	15	259	61	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	LAD	0%	4	4	0	0	0	0	0	1	0	0	0						290	25	0	268	68	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAD	34%	114	99	20	4	1	1	11	33	3	1	0	202	301	293	594	91	291	29	10	277	74	-4	+0	+0	+2	+2	0.1
2028	23	MLB MLE	LAD	48%	249	218	46	10	1	3	23	70	6	3	1	211	304	307	611	96	292	28	9	283	78	-7	+0	+0	+4	+5	0.4
2029	24	MLB MLE	LAD	53%	348	305	66	14	2	5	32	97	8	4	1	216	307	325	632	108	293	28	9	288	81	-8	+0	+0	+6	+8	0.6
2030	25	MLB MLE	LAD	55%	408	357	77	16	2	6	38	113	10	5	1	216	309	322	631	106	293	28	9	290	82	-9	+1	+0	+7	+9	0.8
2031	26	MLB MLE	LAD	56%	446	391	83	17	2	7	41	123	11	6	1	212	305	320	624	107	293	28	9	291	83	-9	+1	+0	+8	+10	1.0
2032	27	MLB MLE	LAD	55%	465	407	88	18	2	8	44	129	11	6	2	216	310	329	639	113	293	28	9	291	83	-9	+0	+0	+8	+10	1.0
2033	28	MLB MLE	LAD	55%	472	413	88	18	2	8	45	132	11	6	1	213	307	324	631	111	292	28	10	290	83	-10	+1	-1	+8	+10	0.9
2034	29	MLB MLE	LAD	53%	470	411	87	18	2	7	45	132	11	5	1	212	306	316	623	105	291	28	10	288	81	-11	+1	-1	+8	+10	0.7
2035	30	MLB MLE	LAD	53%	464	406	85	17	2	7	44	131	11	5	1	209	304	313	616	103	290	28	9	285	79	-11	+1	-2	+8	+10	0.6
2036	31	MLB MLE	LAD	52%	439	384	79	16	2	6	42	126	10	4	1	206	300	305	605	99	287	29	10	281	77	-12	+0	-3	+8	+10	0.3
2037	32	MLB MLE	LAD	52%	411	360	73	15	2	5	39	119	9	3	1	203	297	297	594	94	284	29	9	276	73	-13	+0	-4	+7	+9	-0.0
2027	22	MLB CTX	LAD	34%	39	34	6	1	0	0	4	11	1	0	0	176	282	206	488	29	286	28	10	256	74	-1	+0	+0	+1	+1	0.0
2028	23	MLB CTX	LAD	48%	121	106	23	5	1	2	11	34	3	2	0	217	308	340	648	123	287	28	9	263	78	-3	+0	+0	+2	+3	0.2
2029	24	MLB CTX	LAD	53%	183	160	34	7	1	3	17	51	4	2	1	212	304	325	629	113	288	28	9	268	81	-4	+0	+0	+3	+4	0.3
2030	25	MLB CTX	LAD	55%	223	195	41	8	1	4	21	62	5	3	1	210	303	323	626	113	288	28	9	270	82	-5	+0	+0	+4	+5	0.4
2031	26	MLB CTX	LAD	56%	248	217	46	9	1	4	23	69	6	3	1	212	305	318	623	106	288	28	9	272	83	-5	+0	+0	+4	+5	0.5
2032	27	MLB CTX	LAD	55%	256	224	48	10	1	4	24	71	6	3	1	214	307	321	629	107	288	28	9	272	83	-5	+0	+0	+5	+6	0.5
2033	28	MLB CTX	LAD	55%	258	225	48	10	1	4	25	72	6	3	1	213	309	320	629	107	287	28	10	271	83	-5	+0	-0	+5	+6	0.5
2034	29	MLB CTX	LAD	53%	251	219	46	9	1	4	24	70	6	3	1	210	305	315	620	105	287	28	10	269	81	-6	+0	-1	+4	+5	0.4
2035	30	MLB CTX	LAD	53%	244	213	45	9	1	4	23	69	6	2	1	211	306	319	625	108	285	28	9	266	79	-6	+0	-1	+4	+5	0.3
2036	31	MLB CTX	LAD	52%	229	200	40	8	1	3	22	66	5	2	1	200	295	295	590	95	283	29	10	262	77	-6	+0	-1	+4	+5	0.1
2037	32	MLB CTX	LAD	52%	213	186	37	7	1	3	20	62	5	2	0	199	294	296	590	97	279	29	9	257	73	-7	+0	-2	+4	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2265	1979	414	83	10	35	214	637	53	25	8	209	303	314	618	105	288	28	9	267	80	-54	+2	-6	+40	+49	3.3
/ 162G	—	A+C		—	650	568	119	24	3	10	61	183	15	7	2	210	303	315	618	106	288	28	9	267	80	-15	+1	-2	+12	+14	0.9
Career	—	MLE		—	4410	3846	805	167	20	63	421	1244	111	51	12	209	305	312	618	103	290	28	10	286	80	-102	+5	-10	+77	+93	6.3
/ 162G	—	MLE		—	650	567	119	25	3	9	62	183	16	8	2	210	305	312	618	102	291	28	10	286	80	-15	+1	-2	+12	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Austin 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
#2Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#5Sandy 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
#6Ronny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.5	2,316	34	26	213	303	319	+41	+28	5.1	4.6
/162	664	10	7	+11.9	+8.0	1.5	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
Orlando Pacheco (OGILVIE)	21	—	—	—	—	198/294/275	78	290	0	1	30%	9%	68	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jakson Reetz 2017 · A	21	44→33	39→55	47→45	44	205/289/298	94	298	5	6	31%	8%	70	-0.8	198/275/298	100	292	9	5	33%	7%	65	-1.2	193/274/380	187	243	23	4	31%	7%	81	-0.0
✕Tucker Mitchell 2022 · A	21	42	40→45	51→45	39	201/262/293	92	296	7	7	33%	6%	57	-1.8	195/269/306	111	299	13	8	37%	7%	65	-1.2	180/257/292	111	259	15	7	35%	7%	55	-0.8
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
✕Carlos Narváez 2021 · A	22	47→45	38→45	48→45	46	219/291/300	81	314	5	6	30%	9%	70	-0.8	192/280/305	113	303	13	5	37%	10%	68	-1.0	212/295/344	132	286	15	6	29%	9%	81	-0.0
✕Tomás Nido 2015 · A	21	44→43	39→45	49→30	43	212/267/299	87	285	6	7	27%	6%	61	-1.5	230/261/332	102	302	9	2	26%	4%	65	-1.2	238/272/346	108	283	9	0	19%	4%	71	-0.5
✕Javier Valdes 2021 · A	22	40	37→50	50→30	45	190/266/263	73	266	4	7	28%	8%	53	-2.1	211/295/322	111	281	11	5	27%	8%	78	-0.3	208/306/343	135	260	16	3	25%	9%	85	+0.1
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Franklin Tineo 2016 · A	21	36	38→45	41→50	47	177/258/254	77	247	5	7	29%	9%	48	-2.5	190/264/281	91	260	7	10	28%	8%	56	-1.9	184/261/280	96	239	8	13	25%	8%	53	-0.7
✕Eddys Leonard 2021 · A	20	42→46	40→50	45→50	44	202/274/296	94	295	7	8	32%	8%	63	-1.3	225/292/371	146	302	16	5	30%	7%	87	+0.4	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Jose Sibrian 2021 · A	22	43	38→50	49→30	39	204/261/283	79	291	5	6	30%	6%	55	-2.0	204/258/283	79	271	6	3	26%	5%	54	-2.0	202/260/295	93	255	9	0	24%	5%	55	-0.7
✕Luis Torrens 2016 · A	20	43→48	38→50	49→40	44	204/275/284	80	281	6	6	28%	7%	61	-1.5	210/273/293	83	267	6	4	22%	7%	62	-1.4	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Bryan Lavastida 2021 · A	22	47→43	38→45	46→55	46	221/291/303	81	299	5	8	26%	8%	70	-0.8	220/287/334	114	288	11	13	26%	7%	76	-0.4	217/289/327	110	277	11	27	24%	8%	74	-0.4
✕Daurys Mercedes 2011 · A	21	45	36→45	46→45	45	204/279/273	69	310	2	8	32%	9%	59	-1.6	177/242/240	63	323	3	7	42%	7%	38	-3.2	131/193/181	50	259	2	5	47%	6%	4	-1.7
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Dustin Garneau 2010 · A	22	44→39	39→50	51→45	47	210/289/298	89	279	6	6	25%	8%	70	-0.9	204/272/328	124	256	11	5	24%	8%	70	-0.9	171/262/344	173	215	21	1	31%	8%	70	-0.3
✕Geoandry Montilla 2017 · A	21	44	41→45	45→50	46	214/281/315	101	286	8	9	27%	8%	70	-0.8	197/264/296	99	314	8	8	37%	7%	59	-1.6	131/203/233	101	238	8	7	45%	7%	21	-1.2
✕Jhoneiker Betancourt 2021 · A	21	44	37→50	45→40	42	208/272/281	73	279	3	5	26%	6%	59	-1.7	212/288/322	110	284	11	5	28%	7%	75	-0.5	180/260/332	152	234	22	0	33%	7%	72	-0.3
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Christian Cerda 2023 · A	20	41→37	39→45	50→40	51	195/281/288	93	256	6	9	25%	10%	65	-1.2	193/287/297	104	256	11	4	27%	11%	69	-0.9	180/276/283	102	231	12	2	26%	11%	61	-1.1
✕Arturo De Freitas 2022 · A	21	43	38→45	50→40	39	205/264/287	82	287	5	8	29%	5%	57	-1.8	173/225/248	75	289	7	4	40%	6%	33	-3.6	143/191/216	73	246	8	0	44%	5%	11	-1.5

Career Stats + Projections

Career Comps

Career Path Comps