Luis Alexander Basabe

PosCF

B/TS/R

Born1996-08-26

Age (2027)30

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2020	23	MLBSF	18	.143/.333/.143	0	2	60	0.1
2021	24	AA/ROK/INTL3 orgs	242	.223/.368/.386	5	7	82	—	.185/.282/.281
2022	25	AAACWS	26	.080/.115/.160	0	0	-56	—	.080/.115/.160
2023	26	No MLB games played
2024	27	No MLB games played
2025	28	No MLB games played
2026	29	No MLB games played

Last 3 seasons WAR 0.1

Contract

No contract data on file.

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. 2027 = full-season projection (no games played yet). 2028+ 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)
2013	16	ROK	DSL Red Sox	—	268	209	47	13	2	1	49	58	6	18	5	225	386	321	707	96	305	22	18	331	36	—	—	—	—	—	—
2014	17	ROK	GCL Red Sox	—	307	253	68	12	11	1	43	59	4	15	6	269	383	415	798	146	337	19	14	352	58	—	—	—	—	—	—
2016	19	A+	Salem Red Sox	—	23	22	8	2	1	0	1	3	0	0	0	364	391	545	937	182	421	13	4	409	108	—	—	—	—	—	—
2016	19	A	Greenville Drive	—	451	403	104	24	8	12	40	116	2	25	5	258	328	447	775	189	330	26	9	338	70	—	—	—	—	—	—
2017	20	A+	Winston-Salem Dash	—	435	375	83	12	5	5	49	104	6	17	6	221	321	320	641	99	292	24	11	294	35	—	—	—	—	—	—
2017	20	INTL	Leones del Caracas	—	19	17	3	1	0	0	2	5	0	0	1	176	263	235	498	59	250	26	11	236	46	—	—	—	—	—	—
2018	21	AA	Birmingham Barons	—	270	231	58	9	3	6	30	76	2	9	4	251	342	394	736	143	344	28	11	324	65	—	—	—	—	—	—
2018	21	A+	Winston-Salem Dash	—	245	207	55	12	5	9	34	64	1	7	8	266	372	502	874	237	341	26	14	379	72	—	—	—	—	—	—
2018	21	INTL	Glendale Desert Dogs	—	63	50	9	0	0	0	12	16	0	4	1	180	339	180	519		257	25	19	262	64	—	—	—	—	—	—
2019	22	AA	Birmingham Barons	—	291	256	63	12	1	3	29	85	1	9	4	246	325	336	661	90	355	29	10	298	50	—	—	—	—	—	—
2019	22	A	Kannapolis Intimidators	—	24	20	6	0	1	0	4	7	0	1	1	300	417	400	817	100	462	29	17	372	78	—	—	—	—	—	—
2020	23	MLB	San Francisco Giants	—	18	14	2	0	0	0	4	5	0	2	0	143	333	143	476		222	28	22	256	60	-1	+0	+1	-0	+0	0.1
2021	24	AA	Richmond Flying Squirrels	—	83	68	14	3	0	2	15	26	0	5	0	206	349	338	688	132	300	31	18	321	53	—	—	—	—	—	—
2021	24	ROK	ACL Giants Black	—	34	27	10	3	0	1	6	11	1	0	0	370	500	593	1.093	222	600	32	18	479	70	—	—	—	—	—	—
2021	24	INTL	Aguilas del Zulia	—	125	102	20	3	4	2	22	29	1	2	2	196	344	363	707	167	254	23	18	324	105	—	—	—	—	—	—
2022	25	AAA	Charlotte Knights	—	26	25	2	0	1	0	1	15	0	0	0	80	115	160	275	80	200	58	4	124	-56	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	18	14	2	0	0	0	4	5	0	2	0	143	333	143	476		222	28	22	256	59	-1	+0	+1	-0	+0	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	16	ROK MLE	DSL Red Sox	—	268	223	32	8	1	1	35	71	6	18	5	143	277	202	478	58	194	26	13	222	36	—	—	—	—	—	—
2014	17	ROK MLE	GCL Red Sox	—	307	269	52	8	8	1	27	85	4	15	6	193	277	294	570	100	262	28	9	254	58	—	—	—	—	—	—
2016	19	A+ MLE	Salem Red Sox	—	23	22	8	2	1	0	1	4	0	0	0	364	391	545	937	182	384	17	4	328	108	—	—	—	—	—	—
2016	19	A MLE	Greenville Drive	—	451	417	91	21	6	10	26	150	2	25	5	218	267	369	637	151	302	33	6	271	70	—	—	—	—	—	—
2017	20	A+ MLE	Winston-Salem Dash	—	435	396	70	9	4	3	28	153	6	17	6	177	242	242	484	66	271	35	6	220	35	—	—	—	—	—	—
2018	21	AA MLE	Birmingham Barons	—	270	239	49	8	2	5	22	92	2	9	4	205	278	318	596	113	295	34	8	264	65	—	—	—	—	—	—
2018	21	A+ MLE	Winston-Salem Dash	—	245	220	43	9	3	7	21	98	1	7	8	195	269	359	628	164	308	40	9	275	72	—	—	—	—	—	—
2019	22	AA MLE	Birmingham Barons	—	291	264	54	10	1	2	21	103	1	9	4	205	266	273	538	68	316	35	7	242	50	—	—	—	—	—	—
2019	22	A MLE	Kannapolis Intimidators	—	24	21	5	0	1	0	3	10	0	1	1	238	333	333	667	95	425	42	12	284	78	—	—	—	—	—	—
2020	23	MLB MLE	San Francisco Giants	—	18	14	2	0	0	0	4	5	0	2	0	143	333	143	476		222	28	22	257	60	-1	+0	+1	-0	+0	0.1
2021	24	AA MLE	Richmond Flying Squirrels	—	83	74	13	2	0	2	9	32	0	5	0	176	265	284	549	108	275	39	11	246	53	—	—	—	—	—	—
2021	24	ROK MLE	ACL Giants Black	—	34	29	6	2	0	0	4	17	1	0	0	207	324	276	599	69	425	50	12	272	70	—	—	—	—	—	—
2022	25	AAA MLE	Charlotte Knights	—	26	25	2	0	1	0	1	18	0	0	0	80	115	160	275	80	204	69	4	85	-56	—	—	—	—	—	—
2013	16	ROK MLE	DSL Red Sox	—	268	223	32	8	1	1	35	71	6	18	5	143	277	202	478	58	204	26	13	222	36	—	—	—	—	—	—
2013	16	ROK RAW	DSL Red Sox	—	268	209	47	13	2	1	49	58	6	18	5	225	386	321	707	96	305	22	18	331	36	—	—	—	—	—	—
2014	17	ROK MLE	GCL Red Sox	—	307	269	52	8	8	1	27	85	4	15	6	193	277	294	570	100	270	28	9	254	58	—	—	—	—	—	—
2014	17	ROK RAW	GCL Red Sox	—	307	253	68	12	11	1	43	59	4	15	6	269	383	415	798	146	337	19	14	352	58	—	—	—	—	—	—
2016	19	A MLE	2 teams	—	474	439	97	22	7	10	27	155	2	25	5	221	269	371	641	150	313	33	6	274	71	—	—	—	—	—	—
2016	19	A RAW	2 teams	—	474	425	112	26	9	12	41	119	2	25	5	264	331	452	783	188	336	25	9	341	71	—	—	—	—	—	—
2017	20	A+ MLE	2 teams	—	454	414	72	9	4	3	29	159	6	17	7	174	238	237	475	63	273	35	6	220	35	—	—	—	—	—	—
2017	20	A+ RAW	2 teams	—	454	392	86	13	5	5	51	109	6	17	7	219	318	316	635	97	290	24	11	291	35	—	—	—	—	—	—
2018	21	AA MLE	3 teams	—	578	516	105	20	6	14	48	213	3	20	13	203	275	347	622	143	311	37	8	269	68	—	—	—	—	—	—
2018	21	AA RAW	3 teams	—	578	488	122	21	8	15	76	156	3	20	13	250	354	418	773	168	333	27	13	341	68	—	—	—	—	—	—
2019	22	AA MLE	2 teams	—	315	286	59	10	2	2	23	113	1	10	5	206	268	276	544	70	331	36	7	245	52	—	—	—	—	—	—
2019	22	AA RAW	2 teams	—	315	276	69	12	2	3	33	92	1	10	5	250	332	341	673	91	363	29	10	304	52	—	—	—	—	—	—
2020	23	MLB MLE	San Francisco Giants	—	18	14	2	0	0	0	4	5	0	2	0	143	333	143	476		222	28	22	257	60	-1	+0	+1	-0	+0	0.1
2020	23	MLB RAW	San Francisco Giants	—	18	14	2	0	0	0	4	5	0	2	0	143	333	143	476		222	28	22	256	60	-1	+0	+1	-0	+0	0.1
2021	24	INTL MLE	3 teams	—	242	214	39	8	0	5	26	100	2	7	2	182	277	290	567	107	312	41	11	254	58	—	—	—	—	—	—
2021	24	INTL RAW	3 teams	—	242	197	44	9	4	5	43	66	2	7	2	223	368	386	754	162	310	27	18	345	58	—	—	—	—	—	—
2022	25	AAA MLE	Charlotte Knights	—	26	25	2	0	1	0	1	18	0	0	0	80	115	160	275	80	286	69	4	85	-56	—	—	—	—	—	—
2022	25	AAA RAW	Charlotte Knights	—	26	25	2	0	1	0	1	15	0	0	0	80	115	160	275	80	200	58	4	124	-56	—	—	—	—	—	—
2013	16	ROK MLE	DSL Red Sox	—	268	225	32	8	1	1	35	71	6	18	5	142	277	200	477	58	194	26	13	222	36	—	—	—	—	—	—
2014	17	ROK MLE	GCL Red Sox	—	307	273	52	8	8	1	27	85	4	15	6	190	277	289	566	99	262	28	9	254	58	—	—	—	—	—	—
2016	19	A MLE	2 teams	—	474	442	97	22	7	10	27	155	2	25	5	219	269	369	638	149	306	33	6	274	71	—	—	—	—	—	—
2017	20	A+ MLE	2 teams	—	454	416	72	9	4	3	29	159	6	17	7	173	238	236	474	62	271	35	6	220	35	—	—	—	—	—	—
2018	21	AA MLE	3 teams	—	578	522	105	20	6	14	48	213	3	20	13	201	275	343	618	142	301	37	8	269	68	—	—	—	—	—	—
2019	22	AA MLE	2 teams	—	315	288	59	10	2	2	23	113	1	10	5	205	268	274	542	69	324	36	7	245	52	—	—	—	—	—	—
2020	23	MLB MLE	San Francisco Giants	—	18	14	2	0	0	0	4	5	0	2	0	143	333	143	476		222	28	22	257	60	—	—	—	—	—	—
2021	24	INTL MLE	3 teams	—	242	212	39	8	0	5	26	100	2	7	2	184	277	292	569	108	319	41	11	254	58	—	—	—	—	—	—
2022	25	AAA MLE	Charlotte Knights	—	26	25	2	0	1	0	1	18	0	0	0	80	115	160	275	80	204	69	4	85	-56	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	18	14	2	0	0	0	4	5	0	2	0	143	333	143	476		222	28	22	256	55	-1	+0	+1	-0	+0	0.1
/ 162G	—	A+C		—	650	506	72	0	0	0	144	181	0	72	0	142	332	142	475		222	28	22	256	55	-32	+14	+30	-7	+14	2.1
Career	—	MLE		—	2682	2400	460	85	29	36	220	919	24	114	43	192	266	296	563	105	290	34	8	249	55	-1	+0	+1	-0	+0	0.1
/ 162G	—	MLE		—	650	582	112	21	7	9	53	223	6	28	10	192	267	299	566	107	291	34	8	249	55	-32	+14	+30	-7	+14	2.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2022 AAACharlotte Knights · 26 PAwOBA .121 → .085 (−35)K% 57.7% → 71.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	57.69%	÷0.975	×1.200	—	—	71.04%
BB% (unintentional) /PA	3.85%	÷1.028	×0.690	—	×1.018	2.63%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	10.00%	÷1.003	×0.930	—	×1.018	9.44%
Doubles /BIP	0.00%	÷1.028	×0.830	—	×1.018	0.00%
Triples /BIP	10.00%	÷0.900	×0.970	—	×1.018	10.97%
Home runs /BIP	0.00%	÷1.421	×0.700	—	×1.018	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 184, 1B 101, 2B 106, 3B 80, K 95, BB 106 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).

Result: wOBA .121 → .085; ISO .080 → .060; BABIP .200 → .204. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AARichmond Flying Squirrels · 83 PAwOBA .313 → .246 (−68)K% 31.3% → 38.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.33%	÷1.004	×1.220	—	—	38.07%
BB% (unintentional) /PA	18.07%	÷1.134	×0.690	—	×0.998	10.97%
HBP% /PA	0.00%	—	×0.850	—	×0.998	0.00%
Singles /BIP	21.43%	÷0.970	×0.940	—	×0.998	20.73%
Doubles /BIP	7.14%	÷1.098	×0.870	—	×0.998	5.65%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.998	0.00%
Home runs /BIP	4.76%	÷0.923	×0.780	—	×0.998	4.02%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 94, 2B 120, 3B 130, K 101, BB 127 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .313 → .246; ISO .132 → .110; BABIP .300 → .275. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 ROKACL Giants Black · 34 PAwOBA .467 → .272 (−195)K% 32.4% → 49.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.35%	÷0.950	×1.440	—	—	49.01%
BB% (unintentional) /PA	17.65%	÷0.958	×0.620	—	×0.945	10.79%
HBP% /PA	2.94%	—	×0.720	—	×0.945	2.00%
Singles /BIP	37.50%	÷1.003	×0.820	—	×0.945	28.97%
Doubles /BIP	18.75%	÷1.069	×0.720	—	×0.945	11.93%
Triples /BIP	0.00%	÷1.045	×0.720	—	×0.945	0.00%
Home runs /BIP	6.25%	÷1.222	×0.780	—	×0.945	3.77%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 144, 1B 101, 2B 114, 3B 109, K 90, BB 92 — applied at half strength. Age: age 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .467 → .272; ISO .222 → .112; BABIP .600 → .425. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AABirmingham Barons · 291 PAwOBA .290 → .242 (−48)K% 29.2% → 35.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.21%	÷1.007	×1.220	—	—	35.38%
BB% (unintentional) /PA	9.62%	÷0.929	×0.680	—	×1.027	7.23%
HBP% /PA	0.34%	—	×0.840	—	×1.027	0.30%
Singles /BIP	27.49%	÷0.998	×0.920	×0.950	×1.027	24.71%
Doubles /BIP	7.02%	÷1.009	×0.910	×0.950	×1.027	6.17%
Triples /BIP	0.58%	÷1.150	×0.880	×0.950	×1.027	0.44%
Home runs /BIP	1.75%	÷0.993	×0.800	—	×1.027	1.45%

Factors used: league row SL. Park (home-season share, regressed): HR 99, 1B 100, 2B 102, 3B 130, K 101, BB 86 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .290 → .242; ISO .090 → .074; BABIP .355 → .316. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AKannapolis Intimidators · 24 PAwOBA .364 → .284 (−80)K% 29.2% → 39.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.17%	÷0.982	×1.340	—	—	39.79%
BB% (unintentional) /PA	16.67%	÷1.031	×0.660	—	×0.990	10.56%
HBP% /PA	0.00%	—	×0.770	—	×0.990	0.00%
Singles /BIP	38.46%	÷0.998	×0.920	—	×0.990	35.12%
Doubles /BIP	0.00%	÷1.038	×0.820	—	×0.990	0.00%
Triples /BIP	7.69%	÷0.969	×0.940	—	×0.990	7.39%
Home runs /BIP	0.00%	÷0.849	×0.820	—	×0.990	0.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 70, 1B 100, 2B 108, 3B 94, K 96, BB 106 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average).

Result: wOBA .364 → .284; ISO .100 → .088; BABIP .462 → .425. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 AABirmingham Barons · 270 PAwOBA .318 → .264 (−54)K% 28.1% → 34.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.15%	÷1.006	×1.220	—	—	34.12%
BB% (unintentional) /PA	11.11%	÷0.954	×0.680	—	×1.042	8.25%
HBP% /PA	0.74%	—	×0.840	—	×1.042	0.65%
Singles /BIP	25.81%	÷1.069	×0.920	×0.951	×1.042	22.00%
Doubles /BIP	5.81%	÷0.969	×0.910	×0.951	×1.042	5.40%
Triples /BIP	1.94%	÷1.150	×0.880	×0.951	×1.042	1.47%
Home runs /BIP	3.87%	÷0.949	×0.800	—	×1.042	3.40%

Factors used: league row SL. Park (home-season share, regressed): HR 90, 1B 114, 2B 94, 3B 130, K 101, BB 91 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.

Result: wOBA .318 → .264; ISO .143 → .123; BABIP .344 → .295. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 A+Winston-Salem Dash · 245 PAwOBA .371 → .275 (−96)K% 26.1% → 40.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.12%	÷0.928	×1.420	—	—	39.97%
BB% (unintentional) /PA	13.88%	÷1.049	×0.630	—	×1.012	8.43%
HBP% /PA	0.41%	—	×0.860	—	×1.012	0.36%
Singles /BIP	20.28%	÷0.984	×0.940	×0.991	×1.012	19.44%
Doubles /BIP	8.39%	÷0.939	×0.830	×0.991	×1.012	7.44%
Triples /BIP	3.50%	÷1.150	×0.800	×0.991	×1.012	2.44%
Home runs /BIP	6.29%	÷1.014	×0.900	—	×1.012	5.65%

Factors used: league row CAR. Park (home-season share, regressed): HR 103, 1B 97, 2B 88, 3B 130, K 86, BB 110 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .371 → .275; ISO .237 → .178; BABIP .341 → .308. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 A+Winston-Salem Dash · 435 PAwOBA .283 → .220 (−63)K% 23.9% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.91%	÷0.966	×1.420	—	—	35.13%
BB% (unintentional) /PA	10.34%	÷1.046	×0.630	—	×1.027	6.40%
HBP% /PA	1.38%	—	×0.860	—	×1.027	1.22%
Singles /BIP	22.51%	÷0.999	×0.940	×0.998	×1.027	21.69%
Doubles /BIP	4.43%	÷1.080	×0.830	×0.998	×1.027	3.48%
Triples /BIP	1.85%	÷0.902	×0.800	×0.998	×1.027	1.68%
Home runs /BIP	1.85%	÷1.275	×0.900	—	×1.027	1.34%

Factors used: league row CAR. Park (home-season share, regressed): HR 155, 1B 100, 2B 116, 3B 80, K 93, BB 109 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .283 → .220; ISO .099 → .072; BABIP .292 → .271. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .