Yeniel Laboy — OGILVIE

Yeniel Laboy3B Leones de Ponce

Age 22 L/R 6'3" / 196 lbs INTL HR -6%K -4% Svc 0.0 · Ctrl thru 2036 peak 1.3 · 2031

wRC+†73

AVG/OBP/SLG.213 / .288 / .325

PA117

HR2

K%28

BB%8

MLB%0%

trajectory · 10 yrs

1.3peak

2031

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	+1.3	$12M	+$11M
2032	Ext / FA-deal	$0.9M	+1.2	$11M	+$11M
2033	Ext / FA-deal	$1.0M	+1.1	$11M	+$10M
2034	Ext / FA-deal	$2M	+0.9	$5M	+$3M
2035	Ext / FA-deal	$2M	+0.6	$3M	+$1M
2036	Ext / FA-deal	$1M	+0.3	$2M	+$0.1M
Totals		$8M		$44M	+$36M

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
2022	18	ROK	ACL Athletics	36	34	3	0	0	0	2	15	0	2	0	.088	.139	.088	.227	.000	.158	42	6	.129	-43	-6	+0	+0	+0	+1	-0.4
2023	19	A	3 teams	294	256	49	7	1	2	28	82	7	6	0	.191	.289	.250	.539	.059	.270	28	10	.245	46	-18	+1	+0	+1	+8	-0.8
2024	20	ROK	3 teams	214	190	32	2	1	0	20	60	2	2	2	.168	.255	.189	.444	.021	.242	28	9	.207	17	-20	-0	+0	+1	+6	-1.4
2025	21	INTL	Leones de Ponce	18	14	4	0	0	0	3	2	1	0	1	.286	.444	.286	.730	.000	.333	11	17	—	—	—	—	+0	+0	—	—
▸ 2026 Season
2026	22	MLB	OAK	117	105	23	4	1	2	10	32	1	2	0	.219	.293	.333	.626	.114	.285	27	9	.280	73	-4	+0	+0	+0	+3	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	OAK	159	142	32	6	1	4	14	42	2	3	1	.225	.304	.366	.670	.141	.287	26	9	.294	83	-3	+0	+0	+1	+5	0.2
2028	24	MLB 26%	OAK	278	248	56	10	1	7	25	72	3	5	1	.226	.304	.359	.663	.133	.288	26	9	.303	90	-3	+1	+0	+1	+8	0.6
2029	25	MLB 43%	OAK	354	314	73	13	2	10	33	91	4	6	1	.232	.313	.382	.696	.150	.290	26	9	.308	94	-2	+1	+0	+1	+10	1.0
2030	26	MLB 58%	OAK	404	358	83	15	2	11	38	103	5	7	1	.232	.314	.377	.691	.145	.290	25	9	.311	96	-2	+1	+0	+1	+11	1.2
2031	27	MLB 76%	OAK	430	381	88	16	2	12	41	110	5	7	1	.231	.314	.378	.692	.147	.290	26	10	.311	96	-2	+1	+0	+2	+12	1.3
2032	28	MLB 84%	OAK	442	392	89	16	2	12	42	114	5	7	1	.227	.310	.370	.680	.143	.290	26	10	.310	95	-2	+1	-1	+2	+13	1.2
2033	29	MLB 90%	OAK	442	392	89	16	2	12	42	115	5	6	1	.227	.310	.370	.680	.143	.289	26	10	.308	94	-3	+1	-1	+2	+13	1.1
2034	30	MLB	OAK	438	388	88	16	2	12	42	116	5	5	0	.227	.310	.371	.681	.144	.288	26	10	.305	91	-4	+1	-2	+2	+12	0.9
2035	31	MLB	OAK	428	379	84	15	2	11	41	115	5	3	0	.222	.306	.359	.665	.137	.286	27	10	.301	88	-6	+1	-3	+2	+12	0.6
2036	32	MLB	OAK	413	365	80	14	2	10	40	113	5	1	0	.219	.305	.351	.656	.132	.285	27	10	.296	85	-7	+0	-4	+1	+12	0.3
2037	33	MLB	OAK	385	341	74	13	2	9	37	108	4	0	0	.217	.301	.346	.647	.129	.283	28	10	.291	81	-8	+0	-4	+1	+11	-0.0
2038	34	MLB	OAK	341	302	64	11	1	8	32	99	4	0	0	.212	.296	.334	.630	.123	.281	29	9	.284	76	-9	+0	-5	+1	+10	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			5193	4601	1011	174	24	122	490	1389	63	62	10	.220	.303	.348	.651	.128	.285	27	9	.293	82	-105	+8	-20	+19	+147	5.1
/ 162G	—			650	576	126	22	3	15	61	174	8	8	1	.219	.302	.345	.648	.127	.285	27	9	.293	82	-13	+1	-2	+2	+18	0.6

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
2022	18	ROK	ACL Athletics	36	32	5	0	0	0	4	10	0	2	0	.156	.250	.156	.406	.000	.227	28	11	.203	14	-4	+0	—	—	+1	-0.2
2023	19	A	Stockton Ports	200	169	33	6	0	2	26	47	4	3	0	.195	.317	.266	.583	.071	.258	24	13	.278	71	-7	+1	—	—	+6	-0.0
2023	19	ROK	ACL Athletics	77	57	17	2	1	0	15	10	3	3	0	.298	.467	.368	.835	.070	.347	13	19	.383	152	+4	+1	—	—	+2	0.7
2023	19	INTL	Leones de Ponce	17	17	1	1	0	0	0	5	0	0	0	.059	.059	.118	.176	.059	.083	29	0	.076	-84	-4	+0	—	—	+0	-0.3
2024	20	A	Stockton Ports	74	65	9	1	0	0	8	18	1	1	0	.138	.243	.154	.397	.015	.191	24	11	.201	12	-7	+0	—	—	+2	-0.5
2024	20	ROK	ACL Athletics	125	102	26	1	1	0	20	22	1	1	2	.255	.382	.284	.666	.029	.317	18	16	.314	99	-0	-1	—	—	+4	0.3
2024	20	INTL	Leones de Ponce	15	14	1	0	0	0	1	6	0	0	0	.071	.133	.071	.205	.000	.125	40	7	.107	-60	-3	+0	—	—	+0	-0.2
2025	21	INTL	Leones de Ponce	18	14	4	0	0	0	3	2	1	0	1	.286	.444	.286	.730	.000	.333	11	17	.358	132	+1	-0	—	—	+1	0.1

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
Yeniel Laboy (OGILVIE)	22	—	—	—	—	.213/.288/.325	.112	.285	2	2	28%	8%	73	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Graham Pauley 2023 · A	22	46→51	45→55	49→50	51	.225/.302/.352	.127	.274	12	12	22%	9%	85	+0.7	.233/.299/.395	.162	.280	19	11	23%	8%	95	+1.4	.223/.293/.390	.167	.262	20	11	23%	8%	88	+0.7
✕Jason Martin 2017 · A	21	43→50	45→60	48→50	45	.216/.275/.346	.130	.280	12	13	27%	7%	71	-0.3	.222/.270/.365	.143	.297	15	12	29%	6%	74	-0.1	.218/.285/.408	.191	.271	26	8	29%	8%	90	+0.7
✕Canaan Smith-Njigba 2021 · A	22	47	44→45	50→55	45	.230/.291/.353	.122	.306	12	10	28%	8%	79	+0.3	.230/.300/.348	.118	.336	10	17	32%	9%	82	+0.5	.228/.299/.352	.124	.336	11	21	33%	9%	80	+0.2
✕Trevor Larnach 2019 · A	22	48→53	45→55	51→45	47	.235/.297/.362	.127	.292	11	7	23%	8%	85	+0.7	.238/.301/.359	.121	.342	12	4	31%	7%	86	+0.8	.235/.316/.401	.167	.293	21	4	26%	10%	99	+1.4
✕Kody Clemens 2019 · A	23	46→43	44→60	50→45	45	.228/.287/.347	.119	.291	11	8	25%	7%	76	+0.1	.203/.262/.335	.132	.276	13	8	30%	7%	63	-0.8	.216/.278/.416	.200	.247	26	8	25%	7%	88	+0.6
●Jonathan India 2019 · A	22	43→51	45→50	51→50	45	.208/.290/.333	.125	.296	12	10	32%	8%	76	+0.0	.217/.304/.340	.123	.297	12	10	29%	9%	83	+0.6	.243/.342/.393	.150	.294	17	11	22%	10%	107	+1.9
✕Shed Long Jr. 2017 · A	21	46→48	44→50	50	43	.226/.283/.344	.118	.302	11	11	28%	7%	74	-0.1	.233/.292/.373	.140	.317	15	11	29%	7%	85	+0.7	.230/.292/.378	.148	.312	16	11	30%	7%	83	+0.4
●JJ Bleday 2021 · A	23	44→50	43→55	48→45	42	.218/.269/.329	.110	.289	10	7	28%	6%	64	-0.8	.191/.278/.336	.145	.249	16	6	29%	10%	71	-0.3	.233/.319/.423	.190	.271	22	4	22%	11%	107	+1.9
●TJ Friedl 2018 · A	22	47→53	41→50	49→55	43	.227/.287/.336	.109	.294	7	11	24%	6%	74	-0.1	.225/.297/.323	.098	.293	7	18	24%	7%	75	-0.0	.246/.337/.381	.136	.276	15	18	16%	10%	103	+1.8
●Bo Naylor 2021 · A	21	41→43	44→55	50	43	.203/.259/.325	.122	.273	11	7	29%	7%	59	-1.1	.199/.278/.352	.153	.276	18	12	33%	9%	75	-0.0	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
✕Blaze Alexander 2021 · A	22	45→48	42→50	51→50	43	.218/.284/.328	.110	.300	9	11	29%	7%	71	-0.3	.204/.275/.332	.128	.317	14	12	38%	7%	69	-0.4	.220/.308/.345	.126	.328	13	10	34%	8%	84	+0.4
✕Drew Robinson 2014 · A	22	43→41	44→55	49→50	45	.206/.285/.324	.118	.300	10	8	33%	9%	71	-0.3	.189/.264/.329	.140	.281	15	11	36%	9%	63	-0.8	.207/.288/.362	.155	.320	17	12	37%	10%	78	+0.1
●Connor Norby 2022 · A	22	48→49	43→55	49→50	45	.228/.300/.340	.113	.324	10	11	31%	8%	81	+0.4	.238/.298/.405	.167	.308	20	11	28%	7%	97	+1.5	.239/.300/.413	.174	.310	21	11	29%	7%	97	+1.5
✕Jace Jung 2023 · A	22	45→42	39→55	50→40	50	.212/.293/.305	.093	.295	6	8	28%	10%	69	-0.4	.219/.303/.384	.165	.289	20	4	29%	10%	94	+1.3	.212/.303/.382	.169	.274	21	3	29%	11%	91	+1.0
●Tim Wheeler 2011 · A	23	43→52	44→50	50	43	.215/.276/.330	.115	.277	12	14	26%	6%	68	-0.5	.235/.289/.369	.134	.309	14	13	27%	6%	83	+0.6	.237/.290/.360	.124	.314	13	13	28%	6%	78	+0.2
✕Adam Haseley 2018 · A	22	45→55	43→45	47→50	42	.223/.271/.333	.110	.288	10	7	26%	6%	66	-0.6	.253/.304/.366	.113	.313	11	7	22%	6%	89	+0.9	.247/.299/.355	.109	.304	12	9	22%	6%	80	+0.3
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
●Mat Gamel 2007 · A	22	45→55	47→55	49→45	41	.228/.270/.362	.133	.277	14	7	23%	5%	73	-0.1	.247/.297/.394	.147	.323	14	7	26%	6%	92	+1.2	.251/.307/.408	.157	.341	15	6	29%	7%	101	+1.6
✕Christopher Familia 2023 · A	23	40	45→55	47→45	45	.204/.281/.326	.122	.262	13	8	27%	7%	70	-0.3	.219/.278/.391	.172	.284	22	4	30%	6%	85	+0.7	.215/.266/.411	.196	.270	28	0	32%	5%	81	+0.2
✕Sam Hilliard 2016 · A	22	46→48	44→55	53→55	44	.221/.283/.347	.127	.309	10	10	30%	8%	75	-0.0	.209/.260/.321	.112	.328	11	18	37%	6%	58	-1.2	.203/.279/.381	.178	.280	21	18	34%	9%	80	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)