Izaac Pacheco — OGILVIE

Izaac Pacheco3B Erie SeaWolves

Age 23 L/R 6'3" / 225 lbs AA HR -8% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION373 act + 10 ros · stats below = ROS only

showingROS

wRC+†71

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%40

BB%10

BABIP271

ISO152

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$3M 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
2026	MiLB	still in minors · estimated debut 2028
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	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2031	Arb-1	$1M	+0.1	$0.3M	+$0.0M (cut)
2032	Arb-2	$1M	—	—	—
2033	Arb-3	$0.6M	—	—	—
Totals		$0.0M		$0.7M	+$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.

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	94	-1	+0	—	—	+3	0.2
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	76	-2	-0	—	—	+2	-0.1
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	115	+7	+1	—	—	+8	1.6
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	79	-13	+0	—	—	+11	-0.1
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	81	-6	+0	—	—	+6	0.0
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	109	+1	-0	—	—	+1	0.1
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	148	+24	+0	—	—	+9	3.4
▸ 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	283	49	8	187	13	-13	+0	—	—	+3	-1.0
2022	19	A+ MLE	West Michigan Whitecaps	—	73	63	10	2	0	3	6	24	0	0	1	159	232	333	565	175	161	33	8	247	53	-4	-0	—	—	+2	-0.3
2022	19	A MLE	Lakeland Flying Tigers	—	371	341	70	18	1	5	27	116	1	12	4	205	266	308	574	103	292	31	7	258	61	-17	+1	—	—	+8	-0.9
2023	20	A+ MLE	West Michigan Whitecaps	—	508	468	72	15	2	10	34	214	1	5	2	154	213	259	471	105	246	42	7	210	28	-43	+0	—	—	+11	-3.3
2024	21	A+ MLE	West Michigan Whitecaps	—	280	261	40	8	1	5	15	136	2	4	1	153	205	249	454	96	277	49	5	201	22	-26	+0	—	—	+6	-2.0
2024	21	A MLE	Lakeland Flying Tigers	—	50	44	8	2	0	0	6	21	0	0	1	182	280	227	507	45	335	42	12	237	47	-3	-0	—	—	+1	-0.3
2025	22	A+ MLE	West Michigan Whitecaps	—	425	370	71	20	2	15	47	173	2	0	0	192	286	378	665	186	290	41	11	294	85	-8	+0	—	—	+9	0.2
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	187	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	404	80	20	1	8	33	140	1	12	5	198	260	312	572	114	275	32	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	468	72	15	2	10	34	214	1	5	2	154	213	259	471	105	249	42	7	210	28	—	—	—	—	—	—
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	28	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	330	305	48	10	1	5	21	156	2	4	2	157	216	246	462	89	295	47	6	206	26	—	—	—	—	—	—
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	26	—	—	—	—	—	—
2025	22	A+ MLE	West Michigan Whitecaps	—	425	370	71	20	2	15	47	173	2	0	0	192	286	378	665	186	298	41	11	294	85	—	—	—	—	—	—
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	85	—	—	—	—	—	—
2021	18	ROK MLE	FCL Tigers West	—	125	114	15	2	1	1	10	61	0	1	0	132	200	193	393	61	283	49	8	187	13	—	—	—	—	—	—
2022	19	A MLE	2 teams	—	444	407	80	20	1	8	33	140	1	12	5	197	260	310	570	113	270	32	7	256	60	—	—	—	—	—	—
2023	20	A+ MLE	West Michigan Whitecaps	—	508	468	72	15	2	10	34	214	1	5	2	154	213	259	471	105	246	42	7	210	28	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	330	304	48	10	1	5	21	156	2	4	2	158	216	247	463	89	286	47	6	206	26	—	—	—	—	—	—
2025	22	A+ MLE	West Michigan Whitecaps	—	425	373	71	20	2	15	47	173	2	0	0	190	286	375	662	185	290	41	11	294	85	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A+ MLE	West Michigan Whitecaps	—	508	468	72	15	2	10	34	214	1	5	2	154	213	259	471	105	246	42	7	210	28	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	330	304	48	10	1	5	21	156	2	4	2	158	216	247	463	89	286	47	6	206	26	—	—	—	—	—	—
2025	22	A+ MLE	West Michigan Whitecaps	—	425	373	71	20	2	15	47	173	2	0	0	190	286	375	662	185	290	41	11	294	85	—	—	—	—	—	—
YTD	23	AA MLE	DET	—	373	333	63	11	2	16	33	156	2	5	0	189	266	378	645	189	283	42	9	279	75	-11	+1	+0	+1	+8	-0.1
▸ 2026 season
YTD	23	AA RAW	DET	—	373	315	73	13	2	21	51	128	2	5	0	232	342	486	828	254	304	34	14	360	75	—	—	—	—	—	—
ROS	23	AA MLE	DET	2%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		277	40	10	272	71	-0	+0	-0	+0	+0	-0.0
TOT	23	AA MLE	DET	—	383	342	64	11	2	16	34	160	2	5	0	187	265	371	636	184	281	42	9	279	75	-11	+1	-0	+1	+8	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	DET	23%	480	431	82	16	2	18	43	187	3	4	0	190	268	362	630	172	281	39	9	281	77	-13	+1	-2	+2	+10	-0.2
2028	25	MLB MLE	DET	35%	510	456	91	18	2	20	46	191	3	4	0	200	277	379	657	180	282	37	9	288	81	-11	+1	-2	+2	+11	0.0
2029	26	MLB MLE	DET	42%	527	471	93	18	2	20	48	193	3	4	0	197	276	372	647	174	283	37	9	292	84	-10	+1	-2	+2	+11	0.2
2030	27	MLB MLE	DET	45%	533	476	96	19	2	21	49	194	3	4	0	202	280	382	663	181	283	36	9	293	85	-10	+1	-2	+2	+12	0.2
2031	28	MLB MLE	DET	47%	532	475	94	18	2	20	49	194	3	4	0	198	277	371	648	173	283	36	9	292	84	-10	+1	-3	+2	+12	0.1
2032	29	MLB MLE	DET	46%	525	468	93	18	2	20	49	193	3	4	0	199	279	374	653	175	282	37	9	291	83	-11	+1	-3	+2	+11	-0.0
2033	30	MLB MLE	DET	46%	516	460	91	18	2	19	48	191	3	3	0	198	278	370	647	172	281	37	9	288	81	-12	+1	-4	+2	+11	-0.2
2034	31	MLB MLE	DET	46%	503	448	87	17	2	18	47	188	3	3	0	194	275	362	637	167	278	37	9	284	79	-13	+1	-5	+2	+11	-0.4
2035	32	MLB MLE	DET	46%	485	434	83	16	2	17	45	183	3	2	0	191	272	355	627	164	275	38	9	279	75	-14	+0	-5	+2	+11	-0.7
2027	24	MLB CTX	DET	23%	110	98	19	4	1	4	10	43	1	1	0	194	275	378	653	184	275	39	9	272	77	-3	+0	-0	+0	+2	-0.1
2028	25	MLB CTX	DET	35%	179	160	32	6	1	7	16	67	1	2	0	200	277	381	658	181	277	37	9	278	81	-4	+0	-1	+1	+4	0.0
2029	26	MLB CTX	DET	42%	222	199	39	8	1	8	20	81	1	2	0	196	273	367	640	171	277	36	9	282	84	-4	+0	-1	+1	+5	0.1
2030	27	MLB CTX	DET	45%	239	213	42	8	1	9	22	87	2	2	0	197	278	371	649	174	278	36	9	283	85	-4	+0	-1	+1	+5	0.1
2031	28	MLB CTX	DET	47%	247	220	43	8	1	9	23	90	2	2	0	195	278	364	641	168	277	36	9	282	84	-5	+0	-1	+1	+5	0.1
2032	29	MLB CTX	DET	46%	244	217	42	8	1	9	23	90	2	2	0	194	277	364	641	171	276	37	9	280	83	-5	+0	-2	+1	+5	-0.0
2033	30	MLB CTX	DET	46%	239	214	42	8	1	9	22	88	1	2	0	196	274	369	643	173	275	37	9	278	81	-5	+0	-2	+1	+5	-0.1
2034	31	MLB CTX	DET	46%	233	208	40	8	1	8	22	87	1	1	0	192	273	356	628	163	273	37	9	274	79	-6	+0	-2	+1	+5	-0.2
2035	32	MLB CTX	DET	46%	224	200	38	7	1	8	21	84	1	1	0	190	270	355	625	165	270	38	9	269	75	-7	+0	-2	+1	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1937	1729	337	65	9	71	179	717	12	15	0	195	275	366	641	171	280	37	9	278	71	-43	+3	-12	+7	+42	-0.4
/ 162G	—	A+C		—	650	580	113	22	3	24	60	241	4	5	0	195	275	367	642	172	280	37	9	278	71	-15	+1	-4	+2	+14	-0.1
Career	—	MLE		—	6453	5790	1097	225	25	212	570	2462	33	54	9	189	266	347	613	157	280	38	9	274	71	-105	+6	-28	+17	+100	-1.0
/ 162G	—	MLE		—	650	583	111	23	3	21	57	248	3	5	1	190	266	348	614	158	283	38	9	274	71	-15	+1	-4	+2	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#3Danny 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
#4Luis 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
#5Trevor 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
#6J.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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.9	1,944	73	14	198	274	372	+21	-8	3.1	3.0
/162	664	25	5	+7.1	-2.7	1.1	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
Izaac Pacheco (OGILVIE)	23	30→34	50→57	45→40	45	182/258/347	166	277	12	3	41%	9%	71	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Zack Collins 2018 · AA	23	36→42	48→50	41→40	47	183/275/321	138	287	16	2	39%	11%	70	-0.8	198/295/339	141	302	15	3	36%	12%	82	-0.0	193/300/335	143	284	15	2	34%	13%	81	-0.0
✕Cody Thomas 2018 · A	23	35→45	49→60	44→45	33	185/239/329	144	288	18	6	42%	5%	58	-1.7	197/250/343	146	298	17	5	38%	6%	65	-1.2	213/265/403	190	279	23	4	32%	6%	82	-0.0
✕Johan Mieses 2018 · AA	23	31→33	52→55	39→50	33	180/230/340	160	262	20	3	40%	5%	57	-1.8	191/243/335	144	250	19	5	32%	5%	61	-1.5	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Jared Greenwood 2007 · A	24	40	50→55	43→45	42	206/271/353	147	291	19	7	35%	8%	76	-0.4	205/267/331	126	322	14	6	38%	7%	69	-0.9	171/235/285	114	284	13	0	42%	7%	42	-1.0
✕Allan Cerda 2023 · AA	23	33→23	52→50	42→45	44	178/279/345	167	274	20	6	40%	10%	78	-0.3	175/269/320	145	289	17	8	42%	10%	68	-1.0	136/244/274	138	217	18	8	43%	11%	46	-0.8
✕Isan Díaz 2018 · A	22	39→41	46→55	45	42	198/268/329	131	290	14	8	35%	8%	69	-0.9	208/276/351	143	291	16	8	32%	8%	77	-0.3	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Eric Haase 2017 · AA	24	35→42	49→60	41→40	35	187/241/337	151	281	16	3	39%	6%	61	-1.5	195/250/367	172	282	22	4	38%	6%	71	-0.8	217/276/424	207	286	30	2	35%	7%	91	+0.5
✕Thomas Hickman 2010 · A	22	38	49→50	45→40	41	193/268/344	151	294	17	4	38%	8%	73	-0.6	203/274/342	139	293	16	4	34%	8%	74	-0.5	178/256/314	136	240	18	0	33%	8%	63	-0.7
✕Tristan Gray 2019 · A	23	38→35	47→50	42→40	39	197/247/339	142	273	14	6	33%	6%	63	-1.4	201/266/339	138	261	15	4	28%	7%	70	-0.8	198/254/329	130	265	15	3	30%	6%	62	-0.9
✕Joe DeCarlo 2018 · A	24	37→38	48→50	43→30	43	192/276/329	137	274	16	3	35%	8%	73	-0.6	198/269/315	117	285	12	3	33%	7%	66	-1.1	175/243/264	89	253	10	0	33%	7%	42	-1.0
✕Marcus Greene Jr. 2017 · A	22	34	46→50	44→40	39	181/247/307	126	264	15	5	36%	7%	56	-1.9	209/267/324	115	285	12	4	30%	7%	67	-1.1	208/268/318	109	276	12	2	28%	7%	64	-0.6
✕Jon Talley 2012 · A	23	38→41	47→45	39→30	38	196/254/333	137	289	15	2	37%	6%	64	-1.3	198/255/318	120	293	12	3	35%	6%	61	-1.5	185/244/293	108	274	10	1	34%	6%	50	-1.2
✕Andy Yerzy 2022 · AA	24	32	50	49→40	42	178/266/324	146	258	19	7	38%	8%	68	-1.0	196/274/331	135	264	16	6	30%	9%	72	-0.7	161/235/266	105	230	13	1	34%	8%	40	-1.1
✕Daniel Palka 2015 · A	23	40→43	49→55	47→50	42	207/267/358	151	280	17	6	32%	7%	75	-0.5	210/262/376	166	301	21	10	36%	6%	77	-0.3	207/276/382	174	264	24	4	31%	8%	82	+0.0
✕Miguel Jerez 2021 · A	23	34	47→60	48→40	37	178/247/307	130	278	16	5	40%	7%	57	-1.8	187/257/312	125	309	14	5	41%	7%	61	-1.5	123/205/254	130	193	16	0	44%	7%	28	-1.3
✕Sam Huff 2020 · A	22	37→40	48→55	44→45	30	191/233/328	136	303	17	6	42%	4%	55	-1.9	212/260/373	161	331	22	4	41%	5%	76	-0.4	214/277/388	174	309	26	1	38%	7%	83	+0.0
✕Ryan Costello 2019 · A	23	41→39	50	42→30	47	214/284/368	154	274	17	4	28%	9%	84	+0.1	201/278/335	134	291	14	4	33%	9%	74	-0.6	169/258/297	128	251	15	0	37%	11%	56	-1.3
✕Justin Nelson 2007 · A	24	39→41	51→55	44→45	42	205/273/373	168	284	18	7	34%	8%	81	-0.1	220/291/395	175	314	20	5	34%	8%	93	+0.8	221/298/410	189	309	24	2	34%	9%	98	+0.7
✕Tyler Dearden 2022 · A	24	38→34	54→50	47→30	41	204/278/379	175	295	24	3	38%	8%	84	+0.2	224/292/344	120	327	13	3	33%	8%	81	-0.1	230/287/319	89	322	7	2	29%	6%	70	-0.3
✕Daniel Vellojin 2023 · AA	23	39	45	42→45	51	196/292/318	122	278	13	6	32%	12%	76	-0.4	179/261/272	93	255	9	6	31%	9%	53	-2.1	154/237/226	72	219	7	4	31%	9%	32	-1.3

Career Stats + Projections

Career Comps

Career Path Comps