Izaac Pacheco

3B Erie SeaWolves

Age 24 L/R 6'3" / 225 lbs AA HR -8% Svc 0.0 · Ctrl thru 2033

Overview

AAPROSPECTFG #817MiLBFA 2034

Scout OFP40ETA2029FG ETA2028MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	A+DET	425	.258/.391/.499	17	0	90	—	.203/.296/.403
2026	23	AADET	378	.232/.343/.483	21	5	78	—	.193/.273/.381
2027PROJ2% MLB	24	MLBDET	6	.187/.267/.353	0	0	78	-0.0
2028PROJ28% MLB	25	MLBDET	101	.191/.271/.361	4	1	81	0.0
2029PROJ44% MLB	26	MLBDET	173	.193/.274/.364	6	1	83	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$0.6M2032Arb-2$0.4M2033Arb-3$0.6M

Skills · percentileMiLB Statcast 2026 AA

ISO90

BB%80

wRC+71

wOBA65

Chase%44

Speed35

Career WAR0 WAR median (P10 -0 / P90 2, comp-based) · star 1% · didn't stick 90%

CompsJared Greenwood (age 24) · Nathan Hickey (age 24) · Andy Yerzy (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†78

AVG/OBP/SLG.187 / .267 / .353

PA6

HR0

K%33

BB%17

BABIP269

ISO172

MLB%2%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 34 / POW 57

Toolsscout grade

CONTACT34

scouting grade only

POWER57

scouting grade only

EYE45

scouting grade only

SPEED40

scouting grade only

DEFENSE45

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2030	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2031	Arb-1	$0.6M	—	—	—
2032	Arb-2	$0.4M	—	—	—
2033	Arb-3	$0.6M	—	—	—
Totals		$0.0M		$-0.1M	+$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. 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)
2021	18	ROK	FCL Tigers West	—	125	106	24	4	2	1	18	43	0	1	0	226	336	330	666	104	371	34	14	307	13	—	—	—	—	—	—
2022	19	A+	West Michigan Whitecaps	—	73	60	11	2	0	3	9	17	0	0	1	183	290	367	657	183	182	23	12	281	61	—	—	—	—	—	—
2022	19	A	Lakeland Flying Tigers	—	371	330	88	21	2	8	38	80	1	12	4	267	344	415	759	148	328	22	10	339	59	—	—	—	—	—	—
2023	20	A+	West Michigan Whitecaps	—	508	455	96	22	3	12	47	160	1	5	2	211	286	352	638	141	292	31	9	285	36	—	—	—	—	—	—
2024	21	A+	West Michigan Whitecaps	—	280	254	56	11	1	7	22	96	2	4	1	220	288	354	642	134	320	34	8	288	30	—	—	—	—	—	—
2024	21	A	Lakeland Flying Tigers	—	50	41	10	3	0	0	9	15	0	0	1	244	380	317	697	73	385	30	18	329	43	—	—	—	—	—	—
2025	22	A+	West Michigan Whitecaps	—	425	341	88	25	3	17	74	123	2	0	0	258	391	499	890	240	343	29	17	387	90	—	—	—	—	—	—
2026	23	AA	Erie SeaWolves	—	378	319	74	13	2	21	52	130	2	5	0	232	343	483	826	251	306	34	14	359	78	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	FCL Tigers West	—	125	114	15	2	1	1	10	61	0	1	0	132	200	193	393	61	285	49	8	188	13	—	—	—	—	—	—
2022	19	A+ MLE	West Michigan Whitecaps	—	73	63	11	2	0	3	6	23	0	0	1	175	246	349	596	175	168	32	8	259	61	—	—	—	—	—	—
2022	19	A MLE	Lakeland Flying Tigers	—	371	342	72	17	2	5	26	111	1	12	4	211	268	316	584	105	289	30	7	256	59	—	—	—	—	—	—
2023	20	A+ MLE	West Michigan Whitecaps	—	508	467	77	16	2	10	35	202	1	5	2	165	225	272	497	107	254	40	7	222	36	—	—	—	—	—	—
2024	21	A+ MLE	West Michigan Whitecaps	—	280	261	42	8	1	5	15	127	2	4	1	161	212	257	469	96	281	45	5	212	30	—	—	—	—	—	—
2024	21	A MLE	Lakeland Flying Tigers	—	50	44	8	2	0	0	6	20	0	0	1	182	280	227	507	45	324	40	12	232	43	—	—	—	—	—	—
2025	22	A+ MLE	West Michigan Whitecaps	—	425	370	75	20	3	16	47	163	2	0	0	203	296	403	699	200	289	38	11	301	90	—	—	—	—	—	—
2026	23	AA MLE	Erie SeaWolves	—	378	336	65	11	2	16	35	159	2	5	0	193	273	381	654	187	282	42	9	284	78	—	—	—	—	—	—
2021	18	ROK MLE	FCL Tigers West	—	125	115	15	2	1	1	10	61	0	1	0	130	200	191	391	61	264	49	8	188	13	—	—	—	—	—	—
2021	18	ROK RAW	FCL Tigers West	—	125	106	24	4	2	1	18	43	0	1	0	226	336	330	666	104	371	34	14	307	13	—	—	—	—	—	—
2022	19	A MLE	2 teams	—	444	405	83	19	2	8	32	133	1	12	5	205	265	321	586	116	278	30	7	256	60	—	—	—	—	—	—
2022	19	A RAW	2 teams	—	444	390	99	23	2	11	47	97	1	12	5	254	336	408	743	154	306	22	11	329	60	—	—	—	—	—	—
2023	20	A+ MLE	West Michigan Whitecaps	—	508	467	77	16	2	10	35	202	1	5	2	165	225	272	497	107	258	40	7	222	36	—	—	—	—	—	—
2023	20	A+ RAW	West Michigan Whitecaps	—	508	455	96	22	3	12	47	160	1	5	2	211	286	352	638	141	292	31	9	285	36	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	330	305	50	10	1	5	21	147	2	4	2	164	223	252	475	89	290	45	6	215	32	—	—	—	—	—	—
2024	21	A+ RAW	2 teams	—	330	295	66	14	1	7	31	111	2	4	2	224	302	349	651	125	330	34	9	294	32	—	—	—	—	—	—
2025	22	A+ MLE	West Michigan Whitecaps	—	425	370	75	20	3	16	47	163	2	0	0	203	296	403	699	200	299	38	11	301	90	—	—	—	—	—	—
2025	22	A+ RAW	West Michigan Whitecaps	—	425	341	88	25	3	17	74	123	2	0	0	258	391	499	890	240	343	29	17	387	90	—	—	—	—	—	—
2026	23	AA MLE	Erie SeaWolves	—	378	336	65	11	2	16	35	159	2	5	0	193	273	381	654	187	295	42	9	284	78	—	—	—	—	—	—
2026	23	AA RAW	Erie SeaWolves	—	378	319	74	13	2	21	52	130	2	5	0	232	343	483	826	251	306	34	14	359	78	—	—	—	—	—	—
2021	18	ROK MLE	FCL Tigers West	—	125	114	15	2	1	1	10	61	0	1	0	132	200	193	393	61	285	49	8	188	13	—	—	—	—	—	—
2022	19	A MLE	2 teams	—	444	408	83	19	2	8	32	133	1	12	5	203	265	319	583	115	269	30	7	256	60	—	—	—	—	—	—
2023	20	A+ MLE	West Michigan Whitecaps	—	508	467	77	16	2	10	35	202	1	5	2	165	225	272	497	107	254	40	7	222	36	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	330	304	50	10	1	5	21	147	2	4	2	164	223	253	476	89	288	45	6	215	32	—	—	—	—	—	—
2025	22	A+ MLE	West Michigan Whitecaps	—	425	373	75	20	3	16	47	163	2	0	0	201	296	399	695	198	289	38	11	301	90	—	—	—	—	—	—
2026	23	AA MLE	Erie SeaWolves	—	378	338	65	11	2	16	35	159	2	5	0	192	273	379	652	186	282	42	9	284	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	21	A+ MLE	2 teams	—	330	304	50	10	1	5	21	147	2	4	2	164	223	253	476	89	288	45	6	215	32	—	—	—	—	—	—
2025	22	A+ MLE	West Michigan Whitecaps	—	425	373	75	20	3	16	47	163	2	0	0	201	296	399	695	198	289	38	11	301	90	—	—	—	—	—	—
2026	23	AA MLE	Erie SeaWolves	—	378	338	65	11	2	16	35	159	2	5	0	192	273	379	652	186	282	42	9	284	78	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	DET	2%	380	340	65	13	2	14	35	144	2	3	0	191	271	364	635	173	274	38	9	283	78	-10	+1	-1	+1	+8	0.3
▸ 2027 — real world (MLB)
2027	24	MLB CTX	DET	2%	6	5	1	0	0	0	1	2	0	0	0	187	267	353	621	167	269	33	17	277	78	-0	+0	-0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	DET	28%	356	318	61	12	2	13	33	132	2	3	0	195	275	371	646	176	276	37	9	287	81	-8	+1	-1	+1	+8	0.1
2029	26	MLB MLE	DET	44%	397	355	70	14	2	15	37	144	2	3	0	198	278	375	652	177	277	36	9	290	83	-8	+1	-1	+1	+9	0.1
2030	27	MLB MLE	DET	50%	414	370	74	15	2	15	39	148	2	3	0	199	279	374	653	175	277	36	9	291	83	-8	+1	-1	+1	+9	0.2
2031	28	MLB MLE	DET	55%	421	377	75	15	2	15	39	148	2	2	0	200	279	371	651	172	277	35	9	290	82	-9	+0	-2	+2	+9	0.0
2032	29	MLB MLE	DET	56%	417	374	75	15	2	15	38	145	2	0	0	200	279	367	646	168	277	35	9	288	81	-9	+0	-2	+1	+9	-0.1
2033	30	MLB MLE	DET	56%	413	370	73	14	2	14	38	145	2	0	0	197	275	360	635	163	275	35	9	284	78	-11	+0	-3	+1	+9	-0.4
2028	25	MLB CTX	DET	28%	101	90	17	3	0	4	9	37	1	1	0	191	271	361	632	170	271	37	9	282	81	-2	+0	-0	+0	+2	0.0
2029	26	MLB CTX	DET	44%	173	154	30	6	1	6	16	63	1	1	0	193	274	364	638	171	272	36	9	285	83	-4	+0	-0	+1	+4	0.1
2030	27	MLB CTX	DET	50%	209	187	36	7	1	7	19	75	1	1	0	195	275	364	639	169	272	36	9	285	83	-4	+0	-1	+1	+5	0.1
2031	28	MLB CTX	DET	55%	230	206	40	8	1	8	21	81	1	1	0	196	275	361	636	165	272	35	9	284	82	-5	+0	-1	+1	+5	0.0
2032	29	MLB CTX	DET	56%	232	208	41	8	1	8	21	81	1	0	0	196	275	357	632	162	272	35	9	283	81	-5	+0	-1	+1	+5	-0.1
2033	30	MLB CTX	DET	56%	232	208	41	8	1	8	21	82	1	0	0	193	271	350	622	157	270	35	9	278	78	-6	+0	-2	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1177	1053	205	40	5	41	107	419	6	4	0	195	273	359	632	164	274	36	9	283	70	-26	+1	-5	+4	+26	-0.1
/ 162G	—	A+C		—	650	582	114	22	3	23	59	231	3	2	0	196	273	363	636	167	275	36	9	283	70	-15	+0	-3	+2	+14	-0.1
Career	—	MLE		—	4948	4447	847	174	24	155	434	1848	22	41	9	190	266	345	611	154	279	37	9	272	70	-63	+3	-11	+10	+59	-0.2
/ 162G	—	MLE		—	650	584	111	23	3	20	57	243	3	5	1	190	266	342	608	152	279	37	9	272	70	-15	+1	-3	+2	+14	-0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#2Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
#3Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8
#4Roy Smalley'48-'58 * career totals — 8 seasons, 2,948 PA	4.4	2,948	61	4	220*	288*	369*	+31	-2	3.8	5.0
/162	664	14	1	+7.0	-0.5	0.9	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.8	1,183	43	5	199	275	371	+13	-6	1.9	1.9
/162	664	24	3	+7.1	-3.4	1.1	pk7: 2
#5Pedro Garcia'73-'77 * career totals — 5 seasons, 1,967 PA	3.0	1,967	37	35	220*	270*	388*	+6	-6	-0.3	-0.3
/162	664	12	12	+2.1	-2.0	-0.1	pk7: -0
#6Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0

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
Izaac Pacheco (OGILVIE)	24	30→34	50→57	45→40	45	189/269/360	171	274	12	3	38%	9%	78	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jared Greenwood 2007 · A	24	39	50→55	43→45	42	206/271/353	147	290	19	7	35%	8%	75	-0.5	204/266/329	125	321	14	6	38%	7%	68	-1.0	169/232/282	113	281	12	0	42%	7%	41	-1.0
✕Nathan Hickey 2024 · AA	24	42→40	53→50	47→40	46	216/296/388	172	293	21	4	33%	9%	93	+0.8	192/272/328	136	276	15	4	34%	9%	70	-0.8	173/257/299	126	247	13	3	34%	10%	56	-1.3
✕Andy Yerzy 2022 · AA	24	32	50	49→40	42	178/266/325	146	259	19	7	38%	8%	69	-0.9	196/276/333	137	263	16	6	30%	9%	73	-0.6	162/237/266	105	230	13	1	34%	8%	41	-1.1
✕Chandler Redmond 2023 · AA	26	39	52→55	43→40	38	204/265/367	163	307	21	3	39%	7%	76	-0.4	203/277/343	140	316	18	5	39%	8%	76	-0.4	191/273/320	129	299	18	4	39%	9%	67	-0.8
✕Allan Cerda 2023 · AA	23	34→25	53→55	42→45	45	182/282/353	171	274	21	6	39%	10%	81	-0.1	177/271/325	148	288	18	8	41%	10%	70	-0.8	139/245/280	141	220	18	8	43%	10%	48	-0.8
✕Tyler Dearden 2022 · A	24	38→33	54→50	47→30	41	204/278/379	175	295	24	3	38%	8%	84	+0.2	226/295/346	120	330	13	3	33%	8%	82	+0.0	229/296/323	95	336	8	0	32%	7%	75	-0.2
●Tom Murphy 2015 · AA	24	40→38	51→65	43→45	41	209/276/368	158	288	19	5	33%	7%	81	-0.1	212/259/381	169	304	20	5	36%	5%	77	-0.3	247/319/462	214	314	30	2	30%	9%	119	+1.2
✕Zack Collins 2018 · AA	23	37→42	48→50	41→40	47	185/278/325	140	290	16	2	39%	11%	72	-0.7	204/302/356	152	310	17	3	36%	12%	88	+0.4	199/306/353	154	293	17	2	34%	13%	89	+0.4
✕Brandon Waring 2010 · AA	24	40	52→55	44→40	36	210/267/376	167	297	21	3	36%	6%	80	-0.2	202/265/364	162	293	19	2	36%	6%	76	-0.4	193/260/359	166	278	20	1	37%	6%	70	-0.7
✕Eric Haase 2018 · AA	25	37→42	55→65	45→40	38	200/260/387	187	285	23	5	38%	7%	80	-0.2	200/254/381	181	287	24	4	38%	6%	76	-0.4	220/279/438	218	287	32	2	35%	7%	98	+0.8
✕Chris Williams 2023 · AAA	26	36→31	53→55	44→40	43	194/268/360	166	280	22	4	38%	9%	76	-0.4	189/270/349	160	282	21	6	38%	9%	75	-0.5	168/258/327	159	245	22	6	39%	9%	64	-0.8
✕Ian Rice 2018 · AA	24	39→40	51→50	41→30	50	208/291/361	154	264	19	3	29%	10%	85	+0.2	201/283/316	115	282	12	3	31%	9%	72	-0.7	183/271/276	93	265	9	1	32%	9%	58	-0.9
✕Trevor Hauver 2023 · AA	24	39→49	49→50	46→40	52	197/302/348	151	285	17	3	34%	12%	86	+0.3	215/302/354	139	314	14	3	33%	10%	87	+0.4	220/306/357	138	316	13	2	32%	10%	87	+0.3
✕Peyton Burdick 2022 · AAA	25	40→34	51→50	45→50	46	202/298/366	164	295	19	9	36%	10%	89	+0.5	184/270/334	150	284	17	12	39%	9%	72	-0.7	166/253/310	144	262	17	13	41%	8%	58	-1.3
✕Jason Vosler 2019 · AAA	25	39→44	50→55	44→40	40	204/268/355	151	270	18	2	31%	6%	75	-0.5	219/282/386	167	283	21	3	29%	7%	87	+0.4	215/279/377	162	266	21	3	27%	7%	82	-0.0
●Ryan Schimpf 2014 · AA	26	36→41	52→60	44→45	47	194/276/360	166	255	20	5	32%	9%	80	-0.2	203/279/394	191	250	23	4	29%	8%	88	+0.5	203/284/421	218	238	27	2	28%	8%	96	+0.8
✕Johan Mieses 2018 · AA	23	32→33	52→55	39→50	33	183/234/348	165	267	21	3	40%	5%	61	-1.5	193/246/340	147	252	20	5	32%	5%	63	-1.3	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Justin Nelson 2007 · A	24	39→41	51→55	44→45	42	205/272/373	168	283	18	7	34%	8%	80	-0.1	218/290/393	175	310	21	5	34%	8%	92	+0.7	218/296/407	189	304	24	2	34%	9%	96	+0.6
✕Imanol Vargas 2022 · A	24	40→43	53→50	48→45	39	204/271/373	169	315	21	5	40%	8%	80	-0.1	209/290/357	148	331	17	3	38%	10%	84	+0.1	202/284/345	143	314	17	2	38%	10%	76	-0.3
✕Marcos Castañon 2023 · A	24	38→48	51→50	38→40	46	201/294/355	155	278	19	2	33%	10%	86	+0.3	220/281/359	139	288	16	3	28%	7%	80	-0.1	222/277/356	134	285	15	2	27%	6%	76	-0.3

Izaac Pacheco

Career Stats + Projections

Career Comps

Career Path Comps