Izaac Pacheco — OGILVIE

Izaac PachecoSS Erie SeaWolves

Age 23 L/R 6'3" / 225 lbs AA HR +5%H +3% Svc 0.0 · Ctrl thru 2034 peak 0.7 · 2029

wRC+†35

AVG/OBP/SLG.179 / .251 / .317

PA320

HR9

K%40

BB%8

MLB%2%

Scouting · now → future

HIT

30↗34

PWR

50↗57

SPD

45↘40

FLD

40↗45

EYE

53↘45

trajectory · 10 yrs

1.0peak

2029

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+0.7	$3M	+$2M
2030	Arb-2	$0.9M	+0.7	$3M	+$2M
2031	Arb-3	$0.9M	+0.6	$3M	+$2M
2032	Ext / FA-deal	$0.8M	+0.4	$2M	+$1M
2033	Ext / FA-deal	$0.7M	+0.2	$1.0M	+$0.3M
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$5M		$11M	+$7M

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	18	ROK	FCL Tigers West	125	115	16	2	1	1	10	61	0	1	0	.139	.208	.200	.408	.061	.283	49	8	.189	3	-14	+0	+0	+1	+4	-0.9
2022	19	A	2 teams	444	404	80	20	1	8	33	138	1	12	5	.198	.260	.312	.572	.114	.273	31	7	.258	56	-22	+0	+0	+5	+13	-0.5
2023	20	A+	West Michigan Whitecaps	508	468	76	16	2	10	34	202	1	5	2	.162	.221	.269	.490	.107	.253	40	7	.217	24	-43	+0	+0	+5	+14	-2.4
2024	21	A+	2 teams	330	304	49	10	1	5	22	149	2	4	2	.161	.223	.250	.473	.089	.289	45	7	.214	22	-29	+0	+0	+4	+9	-1.6
2025	22	A+	West Michigan Whitecaps	425	371	75	20	3	16	46	164	2	0	0	.202	.294	.402	.695	.199	.299	39	11	.303	90	-5	+0	+0	+5	+12	1.2
▸ 2026 Season (actual · ROS · total)
2026	23	AA	Erie SeaWolves	62	55	5	1	0	1	6	36	0	1	0	.091	.180	.164	.344	.073	.211	58	10	.169	-12	-8	+0	+0	+1	+2	-0.5
ROS	23	MLB	DET	258	233	40	9	1	7	22	110	1	2	1	.172	.246	.309	.555	.137	.277	43	9	.247	47	-15	+0	-1	+3	+7	-0.7
TOT	23	MLB	DET	320	288	45	10	1	8	28	146	1	3	1	.156	.233	.281	.515	.125	.272	46	9	.231	35	-23	+0	-1	+3	+9	-1.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 8%	DET	480	430	80	18	2	14	45	159	2	4	1	.186	.266	.335	.601	.149	.254	33	9	.272	67	-18	+0	-3	+5	+14	-0.2
2028	25	MLB 17%	DET	510	453	89	19	2	17	49	164	3	4	1	.196	.279	.360	.639	.163	.260	32	10	.284	75	-14	+0	-3	+5	+14	0.3
2029	26	MLB 25%	DET	527	468	94	20	2	18	51	167	3	5	1	.201	.284	.368	.651	.167	.263	32	10	.290	80	-12	+1	-3	+6	+15	0.7
2030	27	MLB 35%	DET	533	473	95	20	2	18	52	169	3	4	1	.201	.284	.366	.650	.165	.263	32	10	.291	81	-11	+0	-3	+6	+15	0.7
2031	28	MLB 40%	DET	532	472	94	20	2	18	52	169	3	4	0	.199	.283	.364	.647	.165	.263	32	10	.290	80	-12	+1	-4	+6	+15	0.6
2032	29	MLB 44%	DET	525	465	92	19	2	18	52	168	3	3	0	.198	.283	.363	.646	.166	.262	32	10	.288	79	-13	+1	-4	+6	+15	0.4
2033	30	MLB 47%	DET	516	457	90	19	2	17	51	167	3	2	0	.197	.282	.359	.641	.162	.260	32	10	.285	76	-14	+0	-5	+6	+15	0.2
2034	31	MLB 50%	DET	503	445	86	18	2	16	50	165	3	0	0	.193	.279	.351	.630	.157	.258	33	10	.281	73	-15	+0	-5	+5	+14	-0.1
2035	32	MLB 52%	DET	485	432	81	17	2	15	48	162	2	0	0	.188	.272	.340	.612	.153	.256	33	10	.276	70	-17	+0	-6	+5	+14	-0.4
2036	33	MLB 56%	DET	456	406	75	16	1	14	45	155	2	0	0	.185	.269	.333	.602	.148	.254	34	10	.271	65	-18	+0	-7	+5	+13	-0.7
2037	34	MLB 60%	DET	410	365	66	14	1	12	40	143	2	0	0	.181	.265	.323	.589	.142	.252	35	10	.264	60	-18	+0	-7	+4	+12	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			7567	6761	1278	277	29	224	702	2612	36	50	14	.189	.269	.338	.607	.149	.265	35	9	.272	66	-291	+4	-50	+81	+214	-4.2
/ 162G	—			650	581	109	24	2	19	60	224	3	4	1	.188	.267	.334	.601	.146	.263	34	9	.272	66	-25	+0	-4	+7	+18	-0.4

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	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	93	-1	+0	—	—	+4	0.3
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	73	-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	117	+7	+1	—	—	+11	1.9
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	77	-13	+0	—	—	+14	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	78	-7	+0	—	—	+8	0.2
2024	21	A	Lakeland Flying Tigers	50	41	10	3	0	0	9	15	0	0	1	.244	.380	.317	.697	.073	.385	30	18	.329	110	+1	-0	—	—	+1	0.2
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	154	+26	+0	—	—	+12	3.9

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
Izaac Pacheco (OGILVIE)	23	30→34	50→57	45→40	45	.179/.251/.317	.138	.282	9	2	40%	8%	55	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Zack Collins 2018 · AA	23	37→42	47→50	42→40	46	.185/.275/.321	.137	.291	15	3	39%	11%	66	-0.6	.198/.295/.349	.151	.306	17	3	37%	12%	82	+0.5	.196/.301/.351	.156	.289	18	2	35%	13%	83	+0.4
✕Cody Thomas 2018 · A	23	36→46	50→60	45	34	.191/.246/.339	.149	.288	19	7	40%	6%	58	-1.2	.197/.250/.346	.149	.300	18	5	39%	6%	61	-1.0	.209/.263/.402	.194	.277	24	4	34%	6%	78	+0.2
✕Michael Pérez 2015 · A	22	37	44→50	41→40	40	.184/.249/.302	.119	.288	11	3	38%	8%	50	-1.8	.193/.252/.290	.097	.268	8	4	29%	7%	47	-1.9	.224/.284/.351	.127	.286	14	0	26%	7%	75	-0.0
✕Tristan Gray 2019 · A	23	38→34	47→55	42→40	39	.198/.249/.339	.141	.275	14	6	33%	6%	59	-1.1	.202/.266/.351	.149	.261	17	4	29%	7%	70	-0.3	.186/.246/.354	.168	.235	23	3	32%	6%	60	-0.7
✕Johan Mieses 2018 · AA	23	32	52→55	40→50	33	.183/.233/.346	.163	.266	21	4	39%	5%	55	-1.4	.188/.241/.336	.148	.253	20	4	34%	5%	56	-1.3	.194/.269/.375	.181	.237	26	7	31%	7%	74	-0.0
✕Luis Toribio 2023 · A	22	36→39	45→50	45→40	38	.178/.247/.297	.119	.301	13	3	43%	8%	47	-1.9	.181/.249/.311	.130	.297	16	3	42%	8%	53	-1.5	.165/.238/.298	.133	.259	17	1	41%	8%	41	-1.3
✕Carson Blair 2013 · A	23	35	43→50	43→30	38	.178/.239/.287	.110	.282	10	6	39%	7%	41	-2.3	.197/.269/.330	.133	.320	12	4	39%	8%	66	-0.6	.192/.271/.336	.144	.315	14	1	40%	9%	65	-0.3
✕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
✕Alex Jackson 2019 · AAA	23	37→36	48→60	44→30	34	.192/.249/.334	.142	.288	16	2	38%	5%	58	-1.2	.190/.258/.378	.188	.282	26	4	42%	5%	75	-0.0	.196/.267/.378	.181	.267	24	2	35%	6%	74	-0.0
✕Eric Haase 2016 · A	23	38→41	47→65	44→40	37	.194/.253/.337	.143	.294	14	3	38%	6%	60	-1.0	.196/.251/.368	.172	.290	21	4	38%	6%	68	-0.5	.218/.277/.437	.219	.284	32	2	35%	7%	94	+0.9
✕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
✕Miguel Jerez 2021 · A	23	33	48→60	48→40	38	.180/.249/.318	.138	.271	17	4	39%	7%	55	-1.4	.186/.256/.315	.129	.302	15	5	41%	7%	56	-1.3	.127/.206/.264	.138	.191	18	0	44%	7%	21	-1.2
✕Travis Demeritte 2018 · AA	23	37→43	48→60	48→50	38	.189/.250/.335	.146	.297	16	9	40%	7%	58	-1.2	.202/.267/.367	.165	.295	19	7	36%	8%	74	-0.1	.204/.271/.391	.188	.288	24	7	37%	8%	79	+0.2
✕Kevin Padlo 2019 · A	23	36→40	44→55	45→50	45	.183/.265/.303	.120	.269	11	7	35%	9%	57	-1.2	.201/.280/.365	.164	.291	19	9	35%	9%	80	+0.4	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Thomas Hickman 2010 · A	22	37	50	45→40	40	.193/.264/.349	.156	.284	18	4	37%	8%	69	-0.4	.201/.272/.345	.144	.288	17	4	34%	8%	71	-0.3	.178/.256/.318	.139	.237	19	0	32%	8%	59	-0.6
✕Jared Walker 2018 · A	22	38→33	48→55	46→45	33	.189/.245/.325	.136	.320	16	7	44%	6%	53	-1.5	.190/.270/.352	.162	.298	20	5	41%	7%	72	-0.2	.159/.252/.310	.152	.261	19	6	44%	8%	52	-0.9
✕Rock Shoulders 2015 · A	23	38→36	48→50	42→30	42	.192/.265/.328	.136	.305	16	3	40%	9%	63	-0.8	.184/.248/.296	.112	.294	12	4	39%	7%	47	-1.9	.118/.170/.195	.078	.175	9	0	38%	5%	-13	-1.8
✕Bobby Borchering 2014 · AA	23	37→43	49→50	41→30	37	.196/.251/.339	.143	.287	17	3	37%	6%	60	-1.0	.185/.239/.284	.099	.303	9	4	39%	6%	40	-2.4	.152/.194/.218	.065	.256	5	2	41%	4%	0	-2.2
✕Sam Huff 2020 · A	22	36→40	48→55	45	30	.189/.231/.327	.138	.297	17	6	42%	4%	48	-1.9	.210/.257/.375	.165	.328	23	4	41%	5%	72	-0.2	.214/.277/.391	.177	.310	27	1	38%	7%	81	+0.2
✕Dylan Johnston 2009 · A	22	42	45→55	44→50	36	.204/.259/.328	.123	.318	13	9	38%	6%	60	-1.0	.196/.250/.312	.116	.349	13	8	44%	6%	53	-1.5	.129/.190/.200	.071	.267	9	6	52%	7%	-4	-1.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)