Edgleen Perez — OGILVIE

Edgleen PerezC Bradenton Marauders

Age 20 R/R 5'9" / 155 lbs A BB +7% Svc 0.0 · Ctrl thru 2036 peak 3.2 · 2031

wRC+†70

AVG/OBP/SLG.206 / .315 / .280

PA320

HR3

K%26

BB%12

MLB%0%

Scouting · now → future

HIT

45→45

PWR

45→45

SPD

40→40

FLD

60→60

EYE

66↗71

trajectory · 10 yrs

3.1peak

2032

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	+3.2	$30M	+$29M
2032	Ext / FA-deal	$0.9M	+3.2	$31M	+$30M
2033	Ext / FA-deal	$1.0M	+3.2	$31M	+$31M
2034	Ext / FA-deal	$6M	+3.1	$31M	+$25M
2035	Ext / FA-deal	$10M	+3.0	$31M	+$22M
2036	Ext / FA-deal	$13M	+2.7	$29M	+$16M
Totals		$32M		$183M	+$152M

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
2023	17	ROK	DSL NYY Bombers	175	150	30	6	0	0	19	45	2	5	0	.200	.298	.240	.538	.040	.275	26	11	.248	48	-10	+1	+0	+3	+5	-0.1
2024	18	ROK	FCL Yankees	216	182	37	5	1	1	29	53	4	4	1	.203	.326	.258	.584	.055	.279	25	13	.273	67	-8	+0	+0	+4	+6	0.2
2025	19	A	Bradenton Marauders	454	382	66	9	0	0	59	119	10	5	1	.173	.299	.196	.496	.024	.248	26	13	.241	43	-29	+1	+0	+8	+13	-0.8
▸ 2026 Season (actual · ROS · total)
2026	20	A	Bradenton Marauders	60	54	13	1	0	0	6	18	0	0	0	.241	.317	.259	.576	.019	.361	30	10	.259	56	-3	+0	+0	+1	+2	-0.0
ROS	20	MLB	PIT	260	223	47	7	0	2	31	68	4	2	1	.211	.318	.269	.587	.058	.292	26	12	.281	74	-8	+0	+1	+5	+7	0.5
TOT	20	MLB	PIT	320	277	60	8	0	2	37	86	4	2	1	.217	.318	.267	.585	.051	.305	27	12	.277	70	-11	+0	+1	+6	+9	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 7%	PIT	520	444	101	15	1	7	64	125	7	7	1	.227	.334	.313	.647	.086	.294	24	12	.298	86	-8	+1	+1	+9	+15	1.8
2028	22	MLB 18%	PIT	520	443	102	15	1	9	65	121	7	7	1	.230	.338	.330	.667	.099	.295	23	12	.311	96	-2	+1	+1	+9	+15	2.4
2029	23	MLB 27%	PIT	520	442	105	16	1	11	66	118	7	7	1	.238	.346	.353	.699	.115	.296	23	13	.318	102	+1	+1	+1	+9	+15	2.8
2030	24	MLB 36%	PIT	520	442	106	16	1	12	66	116	7	7	1	.240	.348	.362	.710	.122	.296	22	13	.323	106	+3	+1	+1	+9	+15	3.0
2031	25	MLB 44%	PIT	520	440	106	16	1	12	68	116	7	7	1	.241	.351	.364	.715	.123	.297	22	13	.327	108	+5	+1	+1	+9	+15	3.2
2032	26	MLB 51%	PIT	520	440	106	16	1	12	68	116	7	7	1	.241	.351	.364	.715	.123	.297	22	13	.328	109	+6	+1	+1	+9	+15	3.2
2033	27	MLB 60%	PIT	520	439	106	16	1	12	69	116	7	7	1	.241	.353	.364	.718	.123	.297	22	13	.328	110	+6	+1	+1	+9	+15	3.2
2034	28	MLB 63%	PIT	520	439	105	16	1	12	69	117	7	6	0	.239	.351	.362	.714	.123	.297	22	13	.327	109	+5	+1	+0	+9	+15	3.1
2035	29	MLB 66%	PIT	520	438	104	15	1	12	70	119	7	6	0	.237	.351	.358	.710	.121	.296	23	13	.325	107	+4	+1	-0	+9	+15	3.0
2036	30	MLB 68%	PIT	520	438	104	15	1	12	70	120	7	5	0	.237	.351	.358	.710	.121	.295	23	13	.322	105	+3	+1	-1	+9	+15	2.7
2037	31	MLB 70%	PIT	504	424	99	14	1	11	68	119	7	4	0	.233	.349	.349	.698	.116	.293	24	13	.318	102	+1	+1	-2	+9	+14	2.4
2038	32	MLB 71%	PIT	489	414	95	14	1	10	65	118	7	3	0	.229	.344	.341	.684	.111	.292	24	13	.314	98	-1	+1	-2	+9	+14	2.0
2039	33	MLB 72%	PIT	473	401	90	13	1	9	63	117	6	3	0	.224	.338	.329	.667	.105	.290	25	13	.308	94	-3	+1	-3	+8	+13	1.7
2040	34	MLB 74%	PIT	453	384	84	12	1	8	60	116	6	2	0	.219	.333	.318	.651	.099	.289	26	13	.302	89	-5	+0	-4	+8	+13	1.2
2041	35	MLB 75%	PIT	390	331	71	10	1	6	51	104	5	2	0	.215	.328	.305	.633	.091	.287	27	13	.295	84	-7	+0	-5	+7	+11	0.7
2042	36	MLB 75%	PIT	326	277	57	8	0	5	42	90	4	2	0	.206	.319	.289	.608	.083	.284	28	13	.287	78	-8	+0	-6	+6	+9	0.2
2043	37	MLB 86%	PIT	262	223	44	6	0	3	34	75	3	2	0	.197	.312	.265	.576	.067	.281	29	13	.278	71	-9	+0	-6	+5	+7	-0.3
2044	38	MLB	PIT	199	170	32	4	0	2	25	59	2	1	0	.188	.299	.247	.547	.059	.276	30	13	.268	63	-8	+0	-7	+4	+6	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			9401	7966	1797	264	16	168	1221	2267	130	101	10	.226	.338	.326	.664	.100	.292	24	13	.307	93	-75	+16	-27	+168	+266	35.6
/ 162G	—			650	551	124	18	1	12	84	157	9	7	1	.225	.337	.327	.664	.102	.290	24	13	.307	93	-5	+1	-2	+12	+18	2.5

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
2023	17	ROK	DSL NYY Bombers	175	139	36	8	0	0	30	31	2	5	0	.259	.398	.317	.714	.058	.321	18	17	.331	112	+2	+1	—	—	+5	0.8
2024	18	ROK	FCL Yankees	216	166	47	8	1	2	45	35	4	4	1	.283	.447	.380	.826	.096	.346	16	21	.384	152	+13	+0	—	—	+6	2.0
2025	19	A	Bradenton Marauders	454	357	73	10	0	0	84	84	10	5	1	.204	.370	.232	.603	.028	.264	19	19	.299	87	-7	+1	—	—	+13	0.7

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
Edgleen Perez (OGILVIE)	20	45	45	40	71	.206/.315/.280	.074	.281	3	3	26%	12%	74	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andy Paz 2013 · A	20	49	36→40	44→45	50	.228/.300/.296	.067	.288	2	7	20%	8%	69	-0.4	.197/.259/.269	.072	.270	5	5	27%	8%	44	-2.1	.210/.265/.279	.069	.270	6	4	23%	7%	45	-0.5
✕Carlos Pérez 2011 · A	20	48→50	36→60	43→45	52	.224/.301/.300	.076	.279	3	6	20%	9%	70	-0.3	.222/.273/.311	.089	.281	5	4	21%	6%	60	-1.0	.219/.289/.410	.191	.238	25	0	21%	7%	92	+0.7
●Daniel Robertson 2014 · A	20	46→54	43→45	38→40	46	.227/.287/.337	.110	.280	10	4	22%	7%	74	-0.1	.243/.310/.355	.112	.303	9	3	22%	7%	89	+0.9	.234/.338/.350	.116	.305	12	4	25%	11%	96	+0.8
●Luis Campusano 2019 · A	20	48→55	39→50	40→30	44	.233/.281/.312	.079	.289	7	3	22%	6%	64	-0.8	.250/.305/.387	.137	.294	15	2	20%	7%	95	+1.4	.261/.327/.424	.162	.295	21	1	19%	8%	110	+1.4
✕Ulises Montilla 2012 · A	20	54	38→45	44→50	54	.250/.313/.337	.087	.275	4	9	11%	8%	85	+0.7	.237/.296/.329	.092	.276	4	9	15%	7%	75	-0.0	.230/.290/.330	.099	.271	4	10	15%	6%	73	-0.1
✕Randy Florentino 2021 · A	21	43	41→50	42→45	48	.206/.286/.310	.104	.297	8	6	31%	10%	67	-0.5	.180/.241/.263	.083	.269	8	5	34%	7%	36	-2.7	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
●Tyler Stephenson 2018 · A	21	45→54	40→50	43→30	44	.215/.276/.305	.091	.289	7	3	27%	7%	61	-1.0	.219/.289/.327	.108	.291	10	3	27%	7%	72	-0.2	.253/.327/.399	.146	.323	16	1	25%	9%	102	+1.3
✕Jesus Rodriguez 2022 · A	20	47→56	39→45	48→50	49	.219/.288/.312	.093	.287	4	11	24%	8%	68	-0.5	.242/.304/.357	.115	.297	9	13	20%	7%	86	+0.8	.254/.316/.360	.106	.307	10	16	19%	7%	89	+0.7
●Victor Caratini 2014 · A	20	48→57	38→50	42→40	48	.220/.300/.311	.091	.316	3	3	29%	9%	73	-0.1	.234/.293/.331	.097	.306	5	2	24%	7%	75	-0.0	.267/.326/.389	.121	.329	10	1	21%	7%	102	+1.3
✕Roberto Pérez 2011 · A	22	45→41	39→55	43→30	51	.211/.299/.305	.093	.286	6	4	26%	10%	72	-0.2	.200/.287/.280	.080	.286	4	3	28%	10%	60	-1.0	.206/.291/.377	.171	.260	23	1	30%	10%	84	+0.3
✕Oswaldo Linares 2023 · A	20	42	41→40	48→40	52	.203/.300/.294	.091	.264	9	7	25%	10%	70	-0.3	.191/.289/.274	.083	.279	7	4	31%	11%	60	-1.0	.164/.268/.232	.068	.248	6	2	32%	11%	39	-0.9
●Tyler Nevin 2017 · A	20	44→54	38→50	40→45	45	.207/.273/.292	.085	.287	5	6	28%	8%	56	-1.3	.231/.281/.335	.104	.297	9	7	24%	6%	71	-0.3	.240/.318/.386	.146	.290	17	4	22%	8%	98	+1.1
✕Luis Alvarez 2009 · A	19	47	43→45	44→45	48	.230/.303/.339	.110	.271	10	5	19%	7%	82	+0.5	.225/.291/.326	.101	.280	9	5	22%	6%	73	-0.1	.212/.264/.322	.111	.252	13	1	21%	4%	57	-0.3
✕Richi Sanchez 2015 · A	21	49	38→45	49→50	54	.230/.313/.315	.085	.291	5	8	21%	10%	79	+0.3	.213/.274/.290	.077	.279	3	7	23%	7%	56	-1.3	.202/.252/.280	.079	.255	0	6	20%	6%	40	-0.6
●William Contreras 2018 · A	20	46→56	39→55	46→45	46	.221/.277/.310	.089	.276	6	4	22%	7%	63	-0.9	.219/.267/.327	.108	.291	11	2	27%	5%	63	-0.9	.274/.362/.430	.156	.327	16	6	20%	12%	121	+3.4
✕Antonio Negron 2006 · A	20	43	40→45	43→50	49	.208/.290/.302	.094	.274	7	10	25%	9%	67	-0.5	.202/.287/.306	.104	.252	10	10	23%	9%	67	-0.5	.187/.280/.293	.106	.224	11	11	21%	9%	60	-0.4
✕Nelson Quiroz 2022 · A	20	45	37→40	47→40	49	.211/.278/.287	.076	.265	3	4	21%	8%	57	-1.2	.229/.290/.332	.103	.270	9	4	18%	7%	74	-0.1	.264/.310/.326	.062	.295	2	0	11%	6%	75	+0.0
✕Canaan Smith-Njigba 2019 · A	20	45→47	41→45	46→55	51	.216/.301/.314	.097	.294	9	7	28%	10%	74	-0.1	.227/.294/.343	.116	.313	11	10	29%	8%	79	+0.3	.228/.299/.352	.124	.336	11	21	33%	9%	80	+0.2
✕Blake Ochoa 2007 · A	21	45	40→45	46→40	44	.215/.280/.308	.092	.280	6	5	24%	6%	64	-0.8	.217/.270/.311	.094	.277	7	4	23%	6%	60	-1.0	.236/.301/.377	.140	.278	16	2	21%	7%	89	+0.3
✕Jeffer Patino 2009 · A	20	49	39→45	42→45	49	.229/.296/.319	.089	.279	5	6	19%	7%	73	-0.1	.208/.259/.283	.075	.260	5	4	21%	6%	47	-1.9	.182/.221/.238	.056	.229	5	2	22%	4%	17	-1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)