Abel Bastidas — OGILVIE

Abel BastidasSS Lakeland Flying Tigers

Age 22 S/R 6'2" / 165 lbs A HR +5%H +3% Svc 0.0 · Ctrl thru 2036 peak 0.6 · 2030

wRC+†51

AVG/OBP/SLG.193 / .257 / .292

PA267

HR4

K%33

BB%7

MLB%0%

Scouting · now → future

HIT

20↗25

PWR

32↗37

SPD

44↗49

EYE

43↗48

trajectory · 10 yrs

0.6peak

2030

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	+0.6	$3M	+$2M
2032	Ext / FA-deal	$0.9M	+0.5	$2M	+$1M
2033	Ext / FA-deal	$1.0M	+0.3	$1M	+$0.5M
2034	Ext / FA-deal	$0.2M	+0.1	$0.5M	+$0.3M
2035	Ext / FA-deal	$0.4M	—	—	—
2036	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$4M	+$0.4M

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	17	ROK	DSL Tigers	219	194	24	2	2	2	22	66	2	12	5	.124	.220	.186	.406	.062	.173	30	10	.191	4	-24	+0	+0	+2	+6	-1.5
2022	18	ROK	FCL Tigers	180	162	30	8	1	2	16	51	1	4	6	.185	.263	.284	.547	.099	.255	28	9	.253	52	-10	-2	+0	+2	+5	-0.4
2023	19	A	Lakeland Flying Tigers	244	225	40	11	1	1	12	84	5	0	0	.178	.236	.249	.484	.071	.275	34	5	.220	27	-20	+0	+0	+3	+7	-1.1
2024	20	ROK	2 teams	128	117	15	4	0	1	7	50	1	1	0	.128	.184	.188	.372	.060	.203	39	5	.169	-12	-16	+0	+0	+1	+4	-1.1
2025	21	A	3 teams	231	214	41	5	1	1	13	90	1	1	1	.192	.241	.238	.480	.047	.317	39	6	.213	21	-21	-0	+0	+2	+7	-1.2
▸ 2026 Season
2026	22	MLB	DET	267	243	47	9	1	4	19	89	3	4	1	.193	.260	.288	.548	.095	.282	33	7	.252	51	-15	+0	+0	+3	+8	-0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	DET	338	307	63	12	2	7	25	107	3	6	2	.205	.272	.326	.597	.121	.284	32	7	.266	61	-15	+0	+0	+4	+10	-0.1
2028	24	MLB 26%	DET	408	369	77	15	2	9	32	125	4	7	2	.209	.279	.333	.612	.125	.285	31	8	.274	68	-15	+1	+0	+4	+12	0.2
2029	25	MLB 43%	DET	443	399	84	16	2	10	36	134	5	8	2	.211	.284	.336	.620	.125	.286	30	8	.280	72	-14	+1	+0	+5	+13	0.4
2030	26	MLB 58%	DET	465	419	89	17	2	11	38	139	5	8	2	.212	.286	.341	.627	.129	.287	30	8	.283	74	-13	+1	+0	+5	+13	0.6
2031	27	MLB 76%	DET	470	423	89	17	2	11	39	141	5	8	2	.210	.285	.338	.623	.128	.287	30	8	.283	75	-14	+1	+0	+5	+13	0.6
2032	28	MLB 84%	DET	470	422	89	17	2	11	40	142	5	8	2	.211	.287	.339	.626	.128	.287	30	9	.282	74	-14	+1	-1	+5	+13	0.5
2033	29	MLB 90%	DET	462	415	87	17	2	10	39	141	5	7	1	.210	.285	.333	.618	.123	.286	31	8	.279	72	-15	+1	-1	+5	+13	0.3
2034	30	MLB	DET	453	406	84	16	2	10	39	140	5	7	1	.207	.284	.330	.614	.123	.284	31	9	.276	70	-16	+1	-2	+5	+13	0.1
2035	31	MLB	DET	440	396	80	15	2	9	37	138	4	5	0	.202	.277	.318	.595	.116	.283	31	8	.273	67	-17	+1	-3	+5	+12	-0.1
2036	32	MLB	DET	422	379	75	14	2	8	36	134	4	4	0	.198	.274	.309	.583	.111	.281	32	9	.268	63	-18	+1	-4	+5	+12	-0.4
2037	33	MLB	DET	393	353	68	13	1	7	33	128	4	4	0	.193	.269	.295	.564	.102	.279	33	8	.263	59	-18	+1	-4	+4	+11	-0.6
2038	34	MLB	DET	348	313	59	11	1	6	29	116	3	3	0	.188	.264	.288	.551	.099	.277	33	8	.256	54	-18	+1	-5	+4	+10	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			6381	5756	1141	219	28	120	512	2015	65	97	27	.198	.271	.309	.580	.110	.279	32	8	.263	60	-290	+9	-20	+68	+181	-5.3
/ 162G	—			650	586	116	22	3	12	52	205	7	10	3	.198	.271	.307	.578	.109	.279	32	8	.263	60	-30	+1	-2	+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
2021	17	ROK	DSL Tigers	219	181	34	4	3	2	35	46	2	12	5	.188	.326	.276	.602	.088	.239	21	16	.286	77	-6	+0	—	—	+6	0.1
2022	18	ROK	FCL Tigers	180	154	40	10	2	3	24	33	1	4	6	.260	.363	.409	.772	.149	.311	18	13	.347	124	+5	-2	—	—	+5	0.8
2023	19	A	Lakeland Flying Tigers	244	218	47	13	1	2	19	58	5	0	0	.216	.293	.312	.605	.096	.281	24	8	.276	70	-8	+0	—	—	+7	-0.1
2024	20	A	Lakeland Flying Tigers	34	31	5	2	0	0	1	10	1	0	0	.161	.212	.226	.438	.065	.227	29	3	.198	9	-3	+0	—	—	+1	-0.3
2024	20	ROK	FCL Tigers	94	81	15	4	0	1	11	25	0	1	0	.185	.283	.272	.554	.086	.246	27	12	.255	53	-5	+0	—	—	+3	-0.2
2025	21	AA	Erie SeaWolves	17	17	1	0	0	0	0	7	0	0	0	.059	.059	.059	.118	.000	.100	41	0	.053	-101	-4	+0	—	—	+0	-0.3
2025	21	A+	West Michigan Whitecaps	84	80	24	4	1	1	4	26	0	0	1	.300	.333	.412	.746	.112	.434	31	5	.332	112	+1	-0	—	—	+2	0.3
2025	21	A	Lakeland Flying Tigers	130	113	26	2	0	0	13	33	1	1	0	.230	.315	.248	.563	.018	.313	25	10	.262	59	-6	+0	—	—	+4	-0.2

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
Abel Bastidas (OGILVIE)	22	20→25	32→37	44→49	48	.193/.257/.292	.100	.282	4	4	33%	7%	51	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron McKeithan 2022 · A	22	41	39→40	49→40	40	.198/.263/.282	.084	.277	6	7	29%	6%	50	-1.7	.218/.296/.304	.086	.283	8	4	24%	7%	70	-0.3	.219/.302/.289	.070	.280	7	1	22%	7%	69	-0.2
✕Alejandro Flores 2017 · AAA	21	39	39→50	46→40	43	.190/.258/.275	.084	.281	7	8	33%	8%	46	-2.0	.208/.261/.329	.121	.289	11	6	31%	6%	61	-1.0	.199/.252/.334	.135	.265	13	4	29%	5%	55	-0.7
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	40	.203/.258/.301	.098	.286	8	8	31%	6%	52	-1.6	.200/.266/.289	.089	.294	8	9	32%	7%	53	-1.5	.183/.256/.260	.077	.269	7	8	32%	8%	40	-1.1
✕Livan Soto 2022 · AA	22	37→47	39→40	49→50	43	.183/.239/.268	.085	.247	7	10	28%	7%	36	-2.7	.222/.288/.312	.090	.301	7	10	27%	8%	68	-0.5	.234/.306/.318	.084	.309	7	8	25%	9%	75	-0.0
✕Franklin Tineo 2017 · A	22	36	37→45	45→50	45	.177/.245/.250	.073	.241	5	9	27%	7%	34	-2.8	.198/.276/.297	.099	.276	8	10	29%	8%	60	-1.0	.201/.298/.325	.124	.262	10	12	25%	10%	74	-0.0
✕Riley Unroe 2018 · AA	22	40→47	37→45	46→55	44	.192/.258/.257	.065	.276	4	12	30%	8%	41	-2.3	.204/.270/.291	.087	.291	7	12	30%	8%	55	-1.4	.221/.306/.342	.121	.297	13	26	28%	10%	80	+0.2
✕Luis Alexander Basabe 2019 · AA	22	39→41	43→45	50	39	.195/.253/.309	.114	.291	11	14	36%	7%	53	-1.5	.200/.267/.298	.098	.322	9	14	37%	8%	56	-1.3	.190/.260/.269	.080	.317	7	15	39%	8%	42	-0.8
✕Joseph Rosa 2019 · A	22	41→43	38→40	46→50	42	.199/.255/.270	.071	.276	6	14	29%	6%	43	-2.2	.204/.268/.291	.087	.288	7	11	30%	7%	54	-1.4	.203/.277/.299	.096	.295	7	14	31%	7%	59	-0.7
✕BJ Murray 2022 · A	22	45→43	42→50	52→50	38	.216/.265/.323	.106	.316	9	8	33%	6%	60	-1.0	.223/.303/.347	.124	.308	12	10	29%	10%	84	+0.6	.200/.286/.344	.144	.257	17	15	28%	10%	74	-0.1
✕Braulio Vasquez 2021 · A	22	40	39→40	44→65	37	.193/.250/.274	.080	.298	7	7	36%	6%	42	-2.3	.205/.278/.298	.093	.301	7	29	32%	7%	61	-1.0	.200/.277/.293	.093	.287	7	42	30%	7%	55	-0.6
✕Luis García 2023 · AA	22	36→37	43→40	46→45	46	.183/.267/.294	.110	.264	11	10	33%	9%	56	-1.3	.187/.279/.281	.094	.298	9	10	36%	10%	58	-1.2	.135/.264/.192	.057	.242	7	10	41%	13%	30	-0.8
✕Anthony Seigler 2021 · A	22	42→39	37→45	49→55	47	.199/.274/.271	.072	.273	5	6	27%	9%	52	-1.6	.192/.285/.299	.107	.271	9	9	30%	11%	65	-0.7	.200/.299/.321	.122	.247	12	27	23%	12%	74	-0.1
✕Jan Vázquez 2013 · AA	22	43	36→40	49→45	39	.204/.260/.264	.060	.289	3	7	29%	5%	43	-2.2	.202/.261/.294	.092	.288	10	7	32%	6%	53	-1.5	.217/.296/.306	.089	.289	8	7	26%	7%	67	-0.2
✕Marcus Littlewood 2014 · A	22	41	40→45	47→45	48	.197/.270/.292	.096	.274	7	5	29%	9%	56	-1.3	.207/.273/.320	.113	.269	10	5	26%	8%	64	-0.8	.205/.272/.318	.112	.262	10	4	25%	8%	60	-0.5
✕Blake Hunt 2022 · AA	23	36	43→50	49→40	40	.184/.244/.291	.107	.270	10	4	35%	7%	44	-2.1	.200/.256/.326	.126	.277	13	4	32%	6%	59	-1.1	.206/.268/.347	.141	.262	15	2	27%	6%	67	-0.3
✕Yasel Antuna 2023 · AA	23	37→35	44→45	48→50	47	.188/.265/.299	.111	.257	12	13	30%	9%	56	-1.3	.186/.265/.284	.098	.270	9	13	32%	9%	53	-1.5	.142/.231/.224	.082	.210	8	12	34%	9%	22	-1.5
✕Yeison Coca 2021 · A	22	38→31	38→40	50	37	.186/.234/.267	.081	.284	6	14	35%	6%	32	-3.0	.182/.240/.251	.069	.306	4	12	39%	7%	31	-3.0	.162/.224/.216	.054	.278	2	13	40%	7%	13	-1.9
✕Jose Sermo 2013 · A	22	44→36	41→55	48→50	37	.214/.258/.311	.097	.299	8	8	30%	5%	54	-1.4	.201/.245/.293	.092	.308	8	9	35%	5%	44	-2.1	.197/.240/.319	.122	.300	13	13	38%	5%	47	-0.6
✕Hansel Moreno 2019 · A	22	43→32	41→45	51→50	36	.209/.251/.312	.103	.304	9	15	33%	5%	52	-1.6	.192/.238/.289	.097	.284	10	16	34%	5%	40	-2.4	.169/.215/.249	.081	.239	10	18	33%	5%	19	-2.6
✕Arquímedes Gamboa 2021 · AA	23	38→43	36→40	50	45	.180/.255/.246	.066	.273	3	13	33%	9%	37	-2.6	.198/.277/.295	.097	.290	9	14	32%	10%	59	-1.1	.195/.282/.288	.093	.289	8	15	32%	10%	56	-0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)