Abel Bastidas — OGILVIE

Abel BastidasSS Lakeland Flying Tigers

Age 22 S/R 6'2" / 165 lbs A HR -8% Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 267 proj PA

wRC+†33

AVG/OBP/SLG.175 / .228 / .243

PA23

HR0

K%31

BB%5

ISO68

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 25 / POW 36

Toolsscout grade

CONTACT25

scouting grade only

POWER36

scouting grade only

EYE48

scouting grade only

SPEED49

scouting grade only

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	Pre-Arb	$0.9M	—	—	—
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.8M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2021	17	ROK	DSL Tigers	—	219	181	34	4	3	2	35	46	2	12	5	188	326	276	602	88	239	21	16	286	80	-5	+0	—	—	+5	-0.0
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	121	+4	-2	—	—	+4	0.7
2023	19	A	Lakeland Flying Tigers	—	244	218	47	13	1	2	19	58	5	0	0	216	293	312	605	96	281	24	8	276	73	-8	+0	—	—	+5	-0.3
2024	20	A	Lakeland Flying Tigers	—	34	31	5	2	0	0	1	10	1	0	0	161	212	226	438	65	227	29	3	198	20	-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	86	246	27	12	255	59	-5	+0	—	—	+2	-0.2
2025	21	AA	Erie SeaWolves	—	17	17	1	0	0	0	0	7	0	0	0	59	59	59	118		100	41	0	53	-78	-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	111	+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	18	313	25	10	262	64	-6	+0	—	—	+3	-0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Tigers	—	219	194	24	2	2	2	22	66	2	12	5	124	220	186	406	62	176	30	10	191	15	-22	+0	—	—	+5	-1.7
2022	18	ROK MLE	FCL Tigers	—	180	163	31	8	1	2	15	49	1	4	6	190	263	288	551	98	257	27	8	252	57	-9	-2	—	—	+4	-0.7
2023	19	A MLE	Lakeland Flying Tigers	—	244	225	40	11	1	1	12	84	5	0	0	178	236	249	484	71	269	34	5	219	34	-19	+0	—	—	+5	-1.4
2024	20	A MLE	Lakeland Flying Tigers	—	34	31	3	1	0	0	1	14	1	0	0	97	152	129	281	32	191	41	3	149	-13	-5	+0	—	—	+1	-0.4
2024	20	ROK MLE	FCL Tigers	—	94	86	12	3	0	1	6	36	0	1	0	140	196	209	405	70	200	38	6	176	5	-11	+0	—	—	+2	-0.9
2025	21	AA MLE	Erie SeaWolves	—	17	17	1	0	0	0	0	8	0	0	0	59	59	59	118		96	47	0	43	-85	-4	+0	—	—	+0	-0.3
2025	21	A+ MLE	West Michigan Whitecaps	—	84	81	19	3	1	1	3	37	0	0	1	235	262	333	595	99	400	44	4	245	52	-5	-0	—	—	+2	-0.3
2025	21	A MLE	Lakeland Flying Tigers	—	130	116	20	2	0	0	10	47	1	1	0	172	244	190	434	17	270	36	8	207	26	-11	+0	—	—	+3	-0.9
2021	17	ROK MLE	DSL Tigers	—	219	194	24	2	2	2	22	66	2	12	5	124	220	186	406	62	173	30	10	191	15	—	—	—	—	—	—
2021	17	ROK RAW	DSL Tigers	—	219	181	34	4	3	2	35	46	2	12	5	188	326	276	602	88	239	21	16	286	15	—	—	—	—	—	—
2022	18	ROK MLE	FCL Tigers	—	180	163	31	8	1	2	15	49	1	4	6	190	263	288	551	98	257	27	8	252	57	—	—	—	—	—	—
2022	18	ROK RAW	FCL Tigers	—	180	154	40	10	2	3	24	33	1	4	6	260	363	409	772	149	311	18	13	347	57	—	—	—	—	—	—
2023	19	A MLE	Lakeland Flying Tigers	—	244	225	40	11	1	1	12	84	5	0	0	178	236	249	484	71	275	34	5	219	34	—	—	—	—	—	—
2023	19	A RAW	Lakeland Flying Tigers	—	244	218	47	13	1	2	19	58	5	0	0	216	293	312	605	96	281	24	8	276	34	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	128	117	15	4	0	1	7	50	1	1	0	128	184	188	372	60	203	39	5	169	0	—	—	—	—	—	—
2024	20	ROK RAW	2 teams	—	128	112	20	6	0	1	12	35	1	1	0	179	264	259	523	80	241	27	9	240	0	—	—	—	—	—	—
2025	21	A MLE	3 teams	—	231	214	40	5	1	1	13	92	1	1	1	187	237	234	470	47	315	40	6	209	27	—	—	—	—	—	—
2025	21	A RAW	3 teams	—	231	210	51	6	1	1	17	66	1	1	1	243	303	295	598	52	342	29	7	272	27	—	—	—	—	—	—
2021	17	ROK MLE	DSL Tigers	—	219	193	24	2	2	2	22	66	2	12	5	124	220	187	407	62	176	30	10	191	15	—	—	—	—	—	—
2022	18	ROK MLE	FCL Tigers	—	180	162	31	8	1	2	15	49	1	4	6	191	263	290	553	99	257	27	8	252	57	—	—	—	—	—	—
2023	19	A MLE	Lakeland Flying Tigers	—	244	225	40	11	1	1	12	84	5	0	0	178	236	249	484	71	269	34	5	219	34	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	128	119	15	4	0	1	7	50	1	1	0	126	184	185	369	59	198	39	5	169	0	—	—	—	—	—	—
2025	21	A MLE	3 teams	—	231	215	40	5	1	1	13	92	1	1	1	186	237	233	469	47	304	40	6	209	27	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	Lakeland Flying Tigers	—	244	225	40	11	1	1	12	84	5	0	0	178	236	249	484	71	269	34	5	219	34	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	128	119	15	4	0	1	7	50	1	1	0	126	184	185	369	59	198	39	5	169	0	—	—	—	—	—	—
2025	21	A MLE	3 teams	—	231	215	40	5	1	1	13	92	1	1	1	186	237	233	469	47	304	40	6	209	27	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	DET	0%	23	22	4	1	0	0	1	7	0	0	0	182	217	227	445	45	251	30	4	217	33	-2	+0	+0	+0	+0	-1.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	DET	34%	338	312	58	12	1	4	20	99	3	5	1	186	242	269	511	83	257	29	6	236	46	-22	+1	+0	+4	+7	-1.1
2028	24	MLB MLE	DET	46%	408	376	74	14	2	7	25	117	4	6	2	197	254	301	555	104	260	29	6	247	54	-23	+0	+0	+4	+9	-0.9
2029	25	MLB MLE	DET	52%	443	408	81	16	2	8	28	125	4	6	2	199	257	306	563	108	262	28	6	254	58	-22	+0	+0	+5	+10	-0.7
2030	26	MLB MLE	DET	54%	465	427	85	16	2	9	30	130	5	6	2	199	260	309	569	110	263	28	6	257	60	-22	+0	+0	+5	+10	-0.7
2031	27	MLB MLE	DET	54%	470	431	87	17	2	9	31	132	5	6	2	202	263	313	577	111	263	28	7	258	60	-22	+0	+0	+5	+10	-0.7
2027	23	MLB CTX	DET	34%	116	107	20	4	1	1	7	34	1	2	0	187	243	271	515	84	252	29	6	225	46	-8	+0	+0	+1	+3	-0.3
2028	24	MLB CTX	DET	46%	188	172	33	6	1	3	12	54	2	3	1	192	253	291	543	99	256	29	6	236	54	-10	+0	+0	+2	+4	-0.4
2029	25	MLB CTX	DET	52%	229	210	41	8	1	4	15	64	2	3	1	195	256	300	556	105	258	28	7	243	58	-11	+0	+0	+2	+5	-0.4
2030	26	MLB CTX	DET	54%	252	232	46	9	1	5	16	70	2	3	1	198	256	310	566	112	258	28	6	246	60	-12	+0	+0	+3	+5	-0.4
2031	27	MLB CTX	DET	54%	255	233	46	9	1	5	17	72	3	4	1	197	261	309	570	112	258	28	7	246	60	-12	+0	+0	+3	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1040	954	186	36	5	18	67	294	10	15	4	195	255	300	555	105	260	28	6	241	47	-53	+1	+0	+11	+23	-1.8
/ 162G	—	A+C		—	650	596	115	22	3	11	42	184	6	9	2	193	253	295	548	102	257	28	6	241	47	-33	+1	+0	+7	+14	-1.2
Career	—	MLE		—	3149	2889	539	106	14	44	204	951	31	47	21	187	248	279	526	92	259	30	6	238	47	-112	+2	+0	+23	+47	-4.1
/ 162G	—	MLE		—	650	596	111	22	3	9	42	196	6	10	4	186	247	279	525	92	258	30	6	238	47	-34	+1	+0	+7	+14	-1.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.0	1,307	20	18	194	249	292	+14	+9	-2.2	-1.1
/162	664	10	9	+7.1	+4.6	-1.1	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -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
Abel Bastidas (OGILVIE)	22	20→25	31→36	44→49	48	175/228/243	67	251	2	4	31%	5%	33	-1.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Urbanus 2014 · A	22	37	34→40	48→50	39	179/230/230	51	265	2	8	32%	6%	30	-3.8	197/239/270	73	294	3	9	32%	5%	42	-2.9	196/224/261	65	290	0	8	31%	3%	32	-1.2
✕Mack Chambers 2022 · A	22	42	37→40	45→50	44	199/258/274	76	267	4	7	26%	7%	51	-2.2	211/273/310	99	281	8	11	26%	7%	65	-1.2	201/269/297	95	262	9	13	25%	8%	59	-0.8
✕Claudio Finol 2023 · AA	23	38	37→40	50→45	40	186/240/263	77	257	4	8	28%	6%	42	-2.9	207/267/299	92	292	8	10	30%	7%	61	-1.5	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Jan Vázquez 2013 · AA	22	43	35→40	50→45	39	205/259/263	58	290	3	7	29%	5%	49	-2.4	200/260/290	90	284	9	7	31%	6%	57	-1.8	215/293/302	88	284	7	7	25%	7%	69	-0.3
✕Jean Walters 2023 · A	21	40	34→40	48→45	38	190/234/240	50	274	2	8	30%	5%	34	-3.5	208/248/281	73	282	4	6	26%	5%	48	-2.5	209/254/294	85	277	6	5	26%	5%	52	-1.1
✕Julio Garcia 2018 · A	21	42→36	36→40	48→40	38	200/243/273	73	289	2	7	31%	5%	45	-2.7	178/211/242	64	295	4	3	39%	3%	25	-4.1	155/180/206	51	263	4	2	41%	2%	3	-3.1
✕Jobduan Morales 2014 · A	23	37	37→40	49→40	42	180/245/252	72	276	5	4	35%	8%	42	-2.9	199/259/286	87	302	7	5	34%	7%	55	-2.0	195/254/288	94	300	7	3	35%	7%	53	-1.0
✕Franklin Navarro 2016 · A	21	39	36→40	45→40	38	188/224/252	65	248	4	5	26%	4%	32	-3.6	205/240/287	82	288	6	4	30%	4%	47	-2.5	194/228/253	59	309	4	0	37%	4%	32	-0.8
✕Raymel Flores 2017 · A	22	41	37→45	46→50	37	197/248/270	72	300	5	10	34%	6%	46	-2.6	188/240/252	64	289	3	11	34%	5%	39	-3.1	159/210/201	42	247	0	13	33%	5%	13	-1.3
✕Taylor Gushue 2016 · A	22	40	39→45	45→30	39	197/240/286	89	262	6	4	27%	4%	47	-2.5	189/238/296	107	255	12	2	30%	5%	49	-2.4	199/260/327	128	276	15	0	32%	7%	64	-0.6
✕Alex Hall 2021 · A	22	41	38→45	49→40	36	198/238/277	79	290	5	7	32%	5%	44	-2.8	179/239/271	92	311	7	4	42%	7%	44	-2.8	155/223/255	100	253	10	1	41%	7%	33	-1.4
✕Joseph Rosa 2019 · A	22	40→44	37→40	45→50	41	192/249/259	67	277	6	14	32%	6%	45	-2.7	206/271/295	89	295	7	11	30%	7%	61	-1.5	205/280/300	95	298	7	14	31%	8%	64	-0.8
✕Gerard Hall 2011 · A	23	41→39	37→40	49→50	44	196/256/272	76	277	4	12	29%	7%	50	-2.3	214/268/301	87	306	3	10	29%	7%	61	-1.5	225/275/316	91	323	0	8	28%	6%	64	-0.7
✕David Masters 2015 · A	22	39→37	36→45	47→40	40	183/249/251	68	277	3	8	33%	7%	43	-2.8	179/238/250	71	242	6	4	27%	6%	38	-3.2	192/262/321	129	263	16	1	32%	7%	61	-0.6
✕J.C. Millan 2018 · A	22	40	37→40	45→30	36	194/235/270	76	278	4	8	31%	4%	41	-3.0	218/265/312	94	270	8	6	22%	6%	63	-1.4	223/270/312	90	261	9	4	18%	6%	61	-0.6
✕Matt Pagnozzi 2006 · AA	23	38	37→40	45→40	41	181/243/253	71	264	4	7	31%	7%	41	-3.0	191/243/270	79	272	5	4	30%	5%	45	-2.7	210/276/290	80	290	6	0	28%	7%	60	-0.7
✕Justin Twine 2018 · A	22	36→32	37→40	47→50	31	177/217/248	70	278	4	7	37%	3%	30	-3.8	212/252/296	84	302	6	10	30%	4%	53	-2.1	214/250/302	88	318	6	14	33%	3%	53	-1.2
✕Arquímedes Gamboa 2021 · AA	23	38→45	36→40	51→50	45	181/256/249	69	269	4	15	32%	9%	45	-2.7	201/280/295	94	290	8	14	30%	10%	65	-1.2	199/285/288	89	292	7	15	31%	10%	63	-0.8
✕Josue Huma 2022 · A	22	42	39→40	51→50	45	203/272/286	83	280	6	10	28%	8%	59	-1.6	211/267/295	84	281	7	9	26%	7%	59	-1.6	222/267/298	76	279	8	8	23%	6%	56	-0.9
✕Terry Serrano 2009 · A	22	41	36→30	51→55	45	194/254/257	63	262	3	15	26%	7%	46	-2.6	209/290/282	73	320	3	15	32%	10%	65	-1.2	204/311/268	64	327	2	21	33%	13%	68	-0.5

Career Stats + Projections

Career Comps

Career Path Comps