Corey Julks — OGILVIE

Corey JulksLF Toledo Mud Hens

Age 30 R/R 5'11" / 220 lbs AAA HR +5%H +3% Svc 3.000 · Ctrl thru 2028 peak 0.5 · 2026

wRC+†vL 9996vR 49

AVG/OBP/SLG.227 / .292 / .349

PA350

HR7

SB13

K%25

BB%8

MLB%10%

Scouting · now → future

HIT

40→40

PWR

35→35

SPD

60→60

EYE

47↘45

trajectory · 10 yrs

0.5peak

2027

Contract

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

Status Arb-1

MLB Debut 2023

Service 3.000 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.2M	+0.5	$2M	+$2M
2027	Arb-2	$1M	+0.3	$1M	+$0.2M
2028	Arb-3	$1M	—	—	—
Totals		$1M		$3M	+$2M

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
2018	22	A	2 teams	521	477	106	25	3	8	37	150	4	30	11	.222	.284	.338	.621	.115	.304	29	7	.274	68	-19	+2	+0	-6	+15	-0.8
2019	23	A+	2 teams	453	407	79	18	2	4	36	132	7	10	5	.194	.271	.278	.549	.084	.274	29	8	.242	44	-29	+0	+0	-5	+13	-2.1
2021	25	AA	Corpus Christi Hooks	372	350	79	18	1	11	20	113	1	15	5	.226	.270	.377	.647	.151	.300	30	5	.282	74	-11	+1	+0	-4	+11	-0.3
2022	26	AAA	Sugar Land Space Cowboys	590	539	117	17	3	25	40	168	10	22	5	.217	.284	.399	.682	.182	.265	28	7	.297	85	-10	+2	+0	-6	+17	0.3
2023	27	MLB	2 teams	452	409	98	25	1	9	39	105	2	21	4	.240	.309	.372	.681	.132	.300	23	9	.299	87	-7	+3	+1	-5	+13	0.5
2024	28	MLB	2 teams	369	332	73	14	1	8	31	91	1	12	2	.220	.288	.340	.629	.120	.273	25	8	.280	72	-11	+2	-3	-4	+10	-0.6
2025	29	AAA	Charlotte Knights	487	452	112	25	1	9	32	119	3	18	3	.248	.302	.367	.669	.119	.318	24	7	.294	83	-9	+2	-0	-5	+14	0.2
▸ 2026 Season (actual · ROS · total)
2026	30	AAA	Toledo Mud Hens	82	75	20	4	0	4	6	25	1	3	0	.267	.329	.480	.809	.213	.348	30	7	.348	124	+2	+1	+0	-1	+2	0.4
ROS	30	MLB	DET	268	243	58	12	1	7	21	69	2	10	2	.239	.305	.383	.687	.144	.298	26	8	.299	87	-4	+1	-1	-3	+8	0.1
TOT	30	MLB	DET	350	318	78	16	1	11	27	94	3	13	2	.245	.310	.406	.716	.160	.313	27	8	.311	96	-2	+2	-1	-4	+10	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB 20%	DET	439	396	95	20	1	11	37	93	3	14	2	.240	.310	.379	.688	.139	.283	21	8	.308	94	-3	+2	-4	-5	+12	0.2
2028	32	MLB 33%	DET	420	380	90	19	1	10	35	91	2	11	1	.237	.305	.371	.676	.134	.282	22	8	.303	90	-5	+2	-5	-4	+12	-0.1
2029	33	MLB 43%	DET	390	353	82	17	1	9	32	87	2	9	1	.232	.300	.363	.662	.130	.280	22	8	.297	85	-6	+1	-6	-4	+11	-0.4
2030	34	MLB 52%	DET	345	312	72	15	1	8	28	80	2	7	0	.231	.298	.362	.660	.131	.278	23	8	.290	80	-8	+1	-6	-4	+10	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			5106	4650	1061	225	17	119	388	1298	39	179	41	.228	.293	.361	.654	.132	.289	25	8	.288	79	-122	+19	-24	-55	+145	-3.7
/ 162G	—			650	592	135	29	2	15	49	165	5	23	5	.228	.293	.360	.652	.132	.289	25	8	.288	79	-15	+3	-3	-7	+18	-0.5

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
2018	22	A+	Buies Creek Astros	260	227	64	18	2	6	28	58	2	16	5	.282	.366	.458	.824	.176	.349	22	11	.362	135	+10	+1	—	—	+7	1.9
2018	22	A	Quad Cities River Bandits	261	232	60	12	2	4	27	50	2	14	6	.259	.341	.379	.720	.121	.315	19	10	.327	108	+2	+0	—	—	+7	1.0
2019	23	AA	Corpus Christi Hooks	41	37	6	0	0	0	4	16	0	0	0	.162	.244	.162	.406	.000	.286	39	10	.200	12	-4	+0	—	—	+1	-0.3
2019	23	A+	Fayetteville Woodpeckers	412	350	93	25	3	4	52	76	7	10	5	.266	.372	.389	.760	.123	.326	18	13	.344	122	+10	+0	—	—	+12	2.2
2021	25	AA	Corpus Christi Hooks	372	338	97	23	2	14	32	84	1	15	5	.287	.350	.491	.842	.204	.344	23	9	.369	141	+17	+1	—	—	+11	2.9
2022	26	AAA	Sugar Land Space Cowboys	590	523	141	21	4	31	56	128	10	22	5	.270	.351	.503	.854	.233	.301	22	9	.375	145	+30	+2	—	—	+17	5.0
2023	27	MLB	Houston Astros	323	298	73	14	0	6	22	75	1	15	3	.245	.299	.352	.651	.107	.306	23	7	.293	82	-7	+2	+1	-5	+9	0.1
2023	27	AAA	Sugar Land Space Cowboys	129	104	25	12	1	3	24	23	1	6	1	.240	.388	.462	.849	.221	.282	18	19	.379	148	+7	+1	—	—	+4	1.2
2024	28	MLB	Chicago White Sox	189	173	37	7	0	3	15	50	0	5	2	.214	.277	.306	.583	.092	.281	26	8	.265	61	-8	+0	-3	-4	+5	-0.9
2024	28	AAA	Charlotte Knights	180	151	42	9	1	6	24	34	1	7	0	.278	.381	.470	.851	.192	.313	19	13	.370	142	+8	+1	—	—	+5	1.5
2025	29	AAA	Charlotte Knights	487	436	131	30	1	15	48	99	3	18	3	.300	.374	.477	.851	.177	.360	20	10	.378	147	+26	+2	—	—	+14	4.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			512	471	110	21	0	9	37	125	1	20	5	.234	.291	.335	.626	.102	.297	24	7	.283	74	-15	+2	-1	-9	+15	-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
Corey Julks (OGILVIE)	30	40	35	60	45	.227/.292/.349	.122	.290	7	12	25%	8%	80	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tim Locastro 2022 · MLB	30	47→52	45	56→60	46	.231/.321/.355	.124	.275	11	25	20%	6%	95	+1.4	.213/.294/.340	.127	.263	12	24	23%	5%	80	+0.4	.211/.301/.325	.114	.266	11	36	23%	5%	76	+0.0
✕Tyler Saladino 2019 · MLB	30	46	43→45	50→55	46	.226/.288/.333	.106	.286	11	16	24%	7%	73	-0.1	.218/.288/.375	.157	.282	19	14	29%	8%	85	+0.7	.199/.273/.380	.181	.248	24	14	30%	8%	77	+0.1
✕Jonathan Davis 2022 · MLB	30	41→51	45	52→55	47	.202/.302/.325	.123	.271	12	19	28%	9%	79	+0.3	.222/.307/.336	.114	.302	10	22	28%	9%	83	+0.6	.221/.303/.332	.112	.308	10	22	29%	9%	76	+0.0
✕Jason Repko 2011 · MLB	30	46→48	46→50	53→55	44	.229/.291/.358	.129	.286	14	20	25%	6%	82	+0.5	.220/.277/.343	.123	.281	14	18	26%	6%	72	-0.2	.198/.255/.311	.113	.257	13	18	27%	6%	51	-0.6
✕Anthony Seratelli 2013 · AAA	30	47→48	44→45	54→55	47	.229/.294/.340	.111	.293	12	21	26%	8%	78	+0.2	.230/.302/.345	.115	.298	12	20	25%	9%	83	+0.6	.223/.305/.327	.104	.292	10	21	25%	10%	78	+0.1
●Wynton Bernard 2021 · AAA	30	45→55	42→45	57→60	42	.218/.265/.326	.108	.278	8	27	24%	6%	61	-1.0	.229/.279/.352	.123	.291	12	29	24%	6%	74	-0.1	.251/.299/.377	.127	.306	12	37	21%	6%	85	+0.5
✕Eli White 2023 · MLB	29	43→50	47→50	53→60	46	.217/.291/.346	.129	.296	15	22	31%	9%	79	+0.3	.232/.302/.374	.142	.316	17	28	30%	8%	91	+1.1	.234/.299/.378	.144	.310	18	31	29%	7%	87	+0.4
✕Pablo Ozuna 2005 · MLB	30	48	44→40	54→55	49	.236/.300/.359	.123	.261	11	15	15%	6%	85	+0.7	.264/.309/.356	.092	.294	6	23	12%	5%	88	+0.9	.288/.324/.385	.098	.319	4	16	10%	3%	98	+0.5
✕Jeff Salazar 2011 · MLB	30	43→51	45→50	57→55	47	.218/.274/.333	.115	.255	13	21	21%	7%	68	-0.5	.207/.271/.322	.115	.257	13	22	24%	8%	63	-0.8	.191/.266/.298	.107	.242	13	24	26%	9%	52	-0.8
✕Kristopher Negrón 2017 · MLB	31	44→50	43→45	54→55	39	.216/.267/.328	.112	.279	10	19	26%	5%	63	-0.8	.223/.280/.345	.122	.308	13	16	30%	6%	73	-0.1	.225/.289/.349	.123	.323	14	14	32%	7%	74	-0.0
✕Eric Patterson 2013 · MLB	30	43→53	43→50	58→60	47	.209/.274/.323	.114	.270	10	23	25%	8%	65	-0.7	.210/.276/.302	.092	.276	8	15	25%	8%	60	-1.0	.169/.230/.195	.026	.229	0	8	24%	7%	10	-0.8
✕Steve Tolleson 2014 · MLB	30	48→53	41→45	50	48	.233/.298/.334	.102	.291	9	15	22%	8%	78	+0.2	.229/.294/.333	.104	.296	9	15	24%	8%	76	+0.0	.230/.291/.324	.095	.298	8	18	24%	7%	71	-0.1
✕John Andreoli 2019 · MLB	29	45→55	43→45	57→60	47	.216/.293/.331	.114	.309	9	26	31%	9%	76	+0.0	.205/.293/.327	.122	.316	12	16	35%	10%	75	-0.0	.163/.271/.294	.132	.266	16	17	41%	12%	56	-0.8
✕Chris Basak 2008 · AAA	29	45→46	44→45	55	44	.224/.272/.341	.117	.269	11	20	21%	6%	69	-0.4	.219/.261/.331	.112	.270	10	16	22%	5%	61	-1.0	.212/.250/.317	.104	.261	9	16	22%	4%	50	-1.0
✕Brian Bogusevic 2013 · MLB	29	47→55	43→45	56→55	49	.228/.302/.341	.113	.293	10	22	24%	9%	82	+0.5	.247/.314/.376	.129	.312	13	19	24%	8%	95	+1.4	.259/.317/.387	.128	.326	13	19	23%	7%	96	+1.1
✕Darin Mastroianni 2016 · MLB	30	46→56	38→40	54→60	43	.220/.268/.296	.076	.277	5	23	22%	6%	55	-1.4	.221/.269/.298	.077	.280	5	20	22%	5%	56	-1.3	.218/.269/.265	.048	.280	2	21	22%	5%	43	-1.1
✕Roger Bernadina 2014 · MLB	30	47→57	45	55→60	47	.231/.299/.356	.124	.286	12	23	23%	8%	85	+0.7	.215/.294/.333	.118	.303	11	18	30%	9%	76	+0.1	.228/.296/.347	.119	.323	12	20	31%	8%	78	+0.1
✕Drew Ferguson 2021 · AAA	28	50→49	43→45	53→55	49	.235/.322/.351	.115	.318	11	20	27%	9%	93	+1.3	.213/.284/.318	.105	.330	10	21	35%	8%	68	-0.5	.152/.242/.192	.040	.277	4	35	42%	11%	16	-0.8
✕Tyler Greene 2014 · MLB	30	46→51	48→50	56→55	41	.229/.286/.372	.143	.313	15	22	31%	6%	83	+0.6	.228/.273/.343	.115	.336	11	11	34%	5%	69	-0.4	.232/.275/.336	.104	.353	9	7	35%	4%	66	-0.6
✕Greg Golson 2015 · AAA	29	46→51	43→45	60→55	36	.226/.263/.344	.118	.311	9	23	30%	4%	65	-0.7	.263/.318/.358	.095	.361	6	24	27%	5%	92	+1.2	.289/.346/.366	.076	.401	2	28	26%	5%	100	+0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)