Wenceel Pérez — OGILVIE

Wenceel PérezRF Toledo Mud Hens

Age 26 S/R 5'11" / 203 lbs AAA HR +5%H +3% Svc 2.000S2 · Ctrl thru 2029 peak 0.5 · 2027

wRC+†vL 8474vR 74

AVG/OBP/SLG.233 / .300 / .389

PA493

HR14

SB14

K%22

BB%8

MLB%45%

Scouting · now → future

HIT

50→50

PWR

45→45

SPD

55→55

EYE

49↘45

trajectory · 10 yrs

0.7peak

2026

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2024

Service 2.000 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$1M	—	—	—
2027	Arb-2	$1M	+0.5	$2M	+$0.9M
2028	Arb-3	$1M	+0.3	$1M	+$0.1M
2029	Arb-4	$1M	+0.1	$0.4M	+$0.0M (cut)
Totals		$1M		$2M	+$0.9M

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
2017	17	ROK	DSL Tigers	258	236	59	6	1	0	17	30	1	16	6	.250	.303	.284	.587	.034	.284	12	7	.260	57	-12	+1	+0	-3	+7	-0.7
2018	18	ROK	2 teams	164	155	42	7	2	2	8	31	0	6	2	.271	.307	.381	.687	.110	.325	19	5	.299	87	-2	+0	+0	-2	+5	0.1
2019	19	A	West Michigan Whitecaps	516	471	93	14	5	3	33	105	0	21	13	.197	.250	.268	.518	.070	.245	20	6	.227	32	-40	-1	+0	-6	+15	-3.2
2021	21	A+	2 teams	476	435	98	16	6	4	30	118	4	22	2	.225	.281	.317	.599	.092	.298	25	6	.258	56	-24	+4	+0	-5	+13	-1.2
2022	22	A+	2 teams	407	369	93	20	8	14	29	80	3	18	5	.252	.312	.463	.775	.211	.281	20	7	.330	111	+5	+2	+0	-4	+12	1.4
2023	23	AA	3 teams	525	469	110	20	5	8	43	112	7	26	7	.235	.308	.350	.658	.115	.287	21	8	.289	80	-12	+2	+0	-6	+15	-0.0
2024	24	MLB	2 teams	488	447	101	16	7	11	37	110	1	13	5	.226	.287	.367	.653	.141	.275	23	8	.292	82	-10	+1	-0	-5	+14	-0.1
2025	25	MLB	Detroit Tigers	383	344	80	16	4	12	31	87	3	8	3	.233	.302	.407	.709	.174	.272	23	8	.311	96	-2	+0	+1	-4	+11	0.6
▸ 2026 Season (actual · ROS · total)
2026	26	AAA	2 teams	88	81	13	3	0	3	7	12	0	3	1	.160	.227	.309	.536	.148	.152	14	8	.219	26	-7	+0	-1	-1	+2	-0.7
ROS	26	MLB	DET	405	368	82	15	4	12	32	83	2	11	3	.223	.289	.383	.672	.160	.254	20	8	.296	85	-7	+1	+1	-4	+11	0.2
TOT	26	MLB	DET	493	449	95	18	4	15	39	95	2	14	4	.212	.278	.370	.647	.158	.235	19	8	.283	74	-14	+1	+0	-5	+14	-0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB 60%	DET	488	441	98	18	4	14	42	89	2	13	3	.222	.293	.376	.669	.154	.246	18	9	.299	87	-7	+1	+1	-5	+14	0.4
2028	28	MLB 70%	DET	481	435	97	18	4	14	41	88	2	12	3	.223	.293	.379	.672	.156	.246	18	9	.298	86	-7	+1	+0	-5	+14	0.3
2029	29	MLB 78%	DET	469	423	93	17	4	13	41	88	2	10	2	.220	.292	.371	.663	.151	.245	19	9	.296	85	-8	+1	-0	-5	+13	0.1
2030	30	MLB 86%	DET	457	412	90	16	4	13	40	87	2	9	2	.218	.291	.371	.662	.153	.243	19	9	.293	82	-9	+1	-1	-5	+13	-0.1
2031	31	MLB 92%	DET	442	399	86	16	4	12	38	86	2	7	1	.216	.287	.366	.653	.150	.242	19	9	.289	80	-10	+1	-2	-5	+13	-0.3
2032	32	MLB	DET	423	381	81	15	3	11	37	84	2	5	0	.213	.286	.354	.640	.142	.240	20	9	.285	76	-11	+1	-3	-5	+12	-0.6
2033	33	MLB	DET	393	354	73	13	3	10	34	81	2	3	0	.206	.279	.345	.624	.138	.238	21	9	.279	72	-13	+1	-3	-4	+11	-0.9
2034	34	MLB	DET	348	314	63	11	3	8	30	75	1	2	0	.201	.272	.331	.604	.131	.237	22	9	.273	67	-13	+0	-4	-4	+10	-1.1
▸ Career Totals (MLE all levels + projections)
Career	—			7123	6453	1439	254	71	161	563	1434	36	202	57	.223	.289	.359	.648	.136	.261	20	8	.286	77	-183	+18	-11	-76	+202	-5.2
/ 162G	—			650	589	131	23	6	15	51	131	3	18	5	.222	.287	.358	.646	.136	.260	20	8	.286	77	-17	+2	-1	-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
2017	17	ROK	DSL Tigers	258	226	71	8	1	0	27	21	1	16	6	.314	.390	.358	.748	.044	.343	8	10	.339	118	+5	+1	—	—	+7	1.4
2018	18	A	West Michigan Whitecaps	71	68	21	3	3	0	2	8	0	4	1	.309	.329	.441	.770	.132	.344	11	3	.333	113	+1	+0	—	—	+2	0.4
2018	18	ROK	GCL Tigers West	93	81	31	7	0	2	12	14	0	2	1	.383	.462	.543	1.006	.160	.446	15	13	.446	199	+10	+0	—	—	+3	1.3
2019	19	A	West Michigan Whitecaps	516	459	107	16	6	3	45	87	0	21	13	.233	.302	.314	.615	.081	.279	17	9	.275	69	-18	-1	—	—	+15	-0.5
2021	21	A+	West Michigan Whitecaps	369	330	81	13	6	3	31	64	2	13	1	.245	.314	.348	.663	.103	.295	17	8	.296	84	-6	+2	—	—	+10	0.6
2021	21	A	Lakeland Flying Tigers	107	92	27	5	1	1	12	21	2	9	1	.293	.387	.402	.789	.109	.366	20	11	.356	130	+4	+1	—	—	+3	0.8
2022	22	AA	Erie SeaWolves	171	150	46	10	5	5	15	23	3	5	4	.307	.381	.540	.921	.233	.328	13	9	.395	160	+12	-1	—	—	+5	1.6
2022	22	A+	West Michigan Whitecaps	236	206	59	13	5	9	27	38	0	13	1	.286	.369	.529	.898	.243	.309	16	11	.387	154	+14	+2	—	—	+7	2.4
2023	23	AAA	Toledo Mud Hens	160	129	34	13	4	3	27	29	2	6	5	.264	.399	.496	.895	.233	.313	18	17	.390	156	+10	-1	—	—	+5	1.4
2023	23	AA	Erie SeaWolves	343	299	81	9	2	6	35	52	5	19	2	.271	.357	.375	.732	.104	.306	15	10	.330	111	+4	+3	—	—	+10	1.7
2023	23	A	Lakeland Flying Tigers	22	21	8	3	0	0	1	5	0	1	0	.381	.409	.524	.933	.143	.500	23	5	.412	174	+2	+0	—	—	+1	0.3
2024	24	MLB	Detroit Tigers	425	389	94	16	6	9	32	92	1	9	5	.242	.301	.383	.684	.141	.294	22	8	.304	91	-5	-0	-0	-5	+12	0.2
2024	24	AAA	Toledo Mud Hens	63	55	9	2	2	2	8	15	0	4	0	.164	.270	.382	.652	.218	.184	24	13	.290	80	-1	+1	—	—	+2	0.1
2025	25	MLB	Detroit Tigers	383	344	84	17	4	13	31	87	3	8	3	.244	.312	.430	.742	.186	.285	23	8	.325	107	+3	+0	+1	-4	+11	1.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			808	733	178	33	10	22	63	179	4	17	8	.243	.306	.405	.711	.162	.290	22	8	.314	98	-2	+0	+0	-9	+23	1.3

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
Wenceel Pérez (OGILVIE)	26	50	45	55	45	.219/.284/.370	.151	.251	14	11	20%	8%	82	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alfredo Amezaga 2004 · MLB	26	45→55	47→40	48→55	50	.227/.294/.364	.137	.264	14	11	20%	8%	84	+0.6	.238/.295/.345	.107	.281	10	20	18%	6%	79	+0.3	.268/.330/.352	.084	.306	3	26	13%	8%	91	+0.6
●Ha-Seong Kim 2022 · MLB	26	42→52	49→50	52→60	47	.218/.287/.369	.151	.262	17	12	24%	8%	83	+0.6	.243/.322/.379	.136	.286	14	20	19%	10%	100	+1.7	.245/.333/.377	.132	.285	13	26	18%	11%	100	+1.6
✕Freddy Galvis 2017 · MLB	27	49→55	46→50	51→50	43	.244/.282/.374	.130	.284	14	12	20%	5%	82	+0.5	.249/.296/.382	.133	.297	13	11	20%	6%	89	+1.0	.250/.299/.387	.138	.300	14	8	21%	6%	88	+0.9
✕Nick Franklin 2018 · MLB	27	44→49	47→50	53→50	45	.222/.280/.362	.140	.272	15	14	24%	7%	78	+0.2	.215/.284/.337	.122	.269	12	13	23%	8%	73	-0.1	.173/.252/.275	.102	.229	8	8	27%	9%	42	-1.2
✕Willi Castro 2023 · MLB	26	48→54	47→50	50→55	41	.242/.289/.378	.136	.295	14	13	23%	5%	85	+0.7	.243/.315/.385	.142	.305	13	22	24%	7%	99	+1.7	.240/.326/.383	.143	.305	13	23	24%	8%	98	+1.3
✕Domingo Leyba 2023 · MLB	27	43→51	48→50	49→45	50	.222/.284/.362	.140	.248	17	9	19%	8%	80	+0.4	.234/.295/.361	.127	.275	14	8	20%	8%	84	+0.6	.246/.304/.358	.111	.291	13	2	20%	7%	82	+0.2
✕Kyle Isbel 2023 · MLB	26	45→51	47→50	53→55	44	.225/.286/.364	.139	.284	14	19	26%	6%	81	+0.4	.228/.281/.358	.130	.277	12	14	21%	6%	77	+0.1	.230/.281/.348	.118	.274	10	11	19%	6%	71	-0.2
✕Brooks Conrad 2006 · AAA	26	42→44	50→55	54→50	46	.217/.281/.373	.156	.270	18	16	27%	8%	82	+0.5	.197/.255/.365	.168	.253	18	12	29%	7%	69	-0.4	.223/.297/.436	.213	.288	28	7	32%	9%	101	+0.6
✕Brandon Boggs 2009 · MLB	26	44→48	50→55	50	50	.220/.303/.386	.166	.293	16	10	30%	10%	94	+1.3	.213/.300/.343	.130	.300	12	8	30%	10%	82	+0.5	.204/.292/.327	.123	.282	11	5	29%	10%	71	-0.2
✕Blake Perkins 2023 · AAA	26	40→50	49→50	56→55	46	.206/.285/.351	.145	.281	17	19	32%	9%	78	+0.2	.229/.308/.355	.126	.310	12	21	28%	10%	88	+0.9	.235/.317/.343	.108	.318	10	25	27%	10%	83	+0.3
✕Abraham Toro 2023 · MLB	26	43→53	49→50	48→45	50	.219/.289/.364	.145	.240	17	9	18%	8%	82	+0.5	.238/.299/.380	.142	.280	14	8	20%	7%	91	+1.1	.242/.302/.379	.137	.289	13	7	20%	7%	88	+0.7
✕Yolmer Sánchez 2018 · MLB	26	49→59	46→50	45→50	43	.243/.288/.377	.134	.293	13	10	22%	5%	85	+0.7	.245/.306/.364	.119	.306	8	10	21%	7%	89	+0.9	.227/.294/.328	.101	.292	7	9	23%	7%	72	-0.1
✕Brad Emaus 2012 · MLB	26	47→54	46→45	48→50	52	.233/.301/.362	.129	.263	13	10	17%	8%	86	+0.8	.219/.280/.340	.121	.251	13	9	18%	7%	72	-0.2	.191/.248/.280	.089	.213	10	4	16%	6%	41	-0.9
✕Pablo Reyes 2021 · MLB	27	47→52	48→50	47→55	45	.239/.288/.385	.146	.282	15	13	21%	6%	87	+0.8	.232/.291/.362	.130	.272	13	15	19%	7%	82	+0.5	.244/.311/.364	.120	.287	14	21	19%	8%	88	+0.4
●TJ Friedl 2022 · MLB	26	46→53	45→50	51→55	47	.226/.295/.355	.129	.265	13	15	20%	7%	82	+0.5	.240/.312/.394	.154	.274	16	19	18%	8%	100	+1.7	.246/.337/.381	.136	.276	15	18	16%	10%	103	+1.8
✕Bobby Hill 2004 · MLB	26	50	47→40	53→45	50	.245/.317/.381	.136	.289	14	14	20%	8%	98	+1.6	.248/.329/.338	.090	.302	6	5	19%	8%	92	+1.2	.246/.333/.317	.071	.313	3	1	20%	8%	85	+0.3
●Rene Reyes 2004 · MLB	26	49→59	47→55	49→50	47	.244/.291/.382	.139	.274	14	11	17%	6%	87	+0.8	.224/.283/.343	.119	.270	11	9	21%	7%	73	-0.1	.282/.337/.441	.159	.314	17	12	16%	7%	121	+2.4
✕Danny Muno 2015 · AAA	26	48→51	44→45	47→50	52	.232/.318/.350	.117	.292	12	13	23%	10%	91	+1.1	.224/.301/.323	.099	.295	8	11	25%	9%	77	+0.1	.220/.301/.308	.088	.302	6	11	26%	10%	69	-0.2
✕Jimmy Herron 2023 · AAA	27	43→45	48→45	53→55	48	.221/.296/.363	.142	.269	16	16	24%	8%	85	+0.7	.221/.293/.348	.127	.275	14	24	24%	8%	80	+0.4	.214/.285/.324	.111	.265	13	28	24%	8%	68	-0.3
✕Nick Punto 2004 · MLB	26	47→57	44→40	48→55	48	.233/.295/.349	.116	.283	12	12	22%	8%	80	+0.4	.244/.311/.343	.099	.295	8	18	19%	9%	85	+0.7	.256/.323/.341	.084	.306	4	20	16%	9%	87	+0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)