Luis Toribio

PosSS

B/TL/R

Born2000-09-28

Age (2027)26

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	21	A+SF	437	.209/.311/.429	21	0	47	—	.156/.237/.304
2023	22	A+SF	412	.232/.335/.432	17	1	59	—	.179/.259/.320
2024	23	AASF	239	.209/.309/.383	8	0	49	—	.173/.250/.304

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)
2018	17	ROK	DSL Giants	—	274	215	58	13	1	10	51	62	7	4	1	270	425	479	904	209	333	23	19	404	57	—	—	—	—	—	—
2019	18	ROK	AZL Giants Orange	—	234	185	55	15	3	3	45	54	2	4	5	297	440	459	899	162	400	23	19	402	71	—	—	—	—	—	—
2021	20	A	San Jose Giants	—	408	340	78	20	1	7	63	113	2	2	1	229	353	356	709	126	320	28	15	325	50	—	—	—	—	—	—
2022	21	A+	Eugene Emeralds	—	437	378	79	18	1	21	52	154	4	0	0	209	311	429	740	220	282	35	12	327	47	—	—	—	—	—	—
2023	22	A+	Eugene Emeralds	—	412	354	82	18	1	17	54	112	1	1	0	232	335	432	767	201	286	27	13	340	59	—	—	—	—	—	—
2024	23	AA	Richmond Flying Squirrels	—	239	206	43	8	2	8	27	90	3	0	2	209	309	383	693	175	318	38	11	309	49	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	17	ROK MLE	DSL Giants	—	274	231	37	8	1	5	35	76	7	4	1	160	289	268	558	108	203	28	13	252	57	—	—	—	—	—	—
2019	18	ROK MLE	AZL Giants Orange	—	234	202	40	10	2	2	28	78	2	4	5	198	302	297	599	99	299	33	12	273	71	—	—	—	—	—	—
2021	20	A MLE	San Jose Giants	—	408	366	68	16	1	5	37	160	2	2	1	186	264	276	540	90	303	39	9	242	50	—	—	—	—	—	—
2022	21	A+ MLE	Eugene Emeralds	—	437	392	61	14	1	14	38	202	4	0	0	156	237	304	541	148	256	46	9	237	47	—	—	—	—	—	—
2023	22	A+ MLE	Eugene Emeralds	—	412	369	66	14	1	12	39	148	1	1	0	179	259	320	579	141	250	36	9	255	59	—	—	—	—	—	—
2024	23	AA MLE	Richmond Flying Squirrels	—	239	214	37	6	2	6	19	107	3	0	2	173	250	304	554	131	289	45	8	241	49	—	—	—	—	—	—
2018	17	ROK MLE	DSL Giants	—	274	231	37	8	1	5	35	76	7	4	1	160	289	268	558	108	212	28	13	252	57	—	—	—	—	—	—
2018	17	ROK RAW	DSL Giants	—	274	215	58	13	1	10	51	62	7	4	1	270	425	479	904	209	333	23	19	404	57	—	—	—	—	—	—
2019	18	ROK MLE	AZL Giants Orange	—	234	202	40	10	2	2	28	78	2	4	5	198	302	297	599	99	306	33	12	273	71	—	—	—	—	—	—
2019	18	ROK RAW	AZL Giants Orange	—	234	185	55	15	3	3	45	54	2	4	5	297	440	459	899	162	400	23	19	402	71	—	—	—	—	—	—
2021	20	A MLE	San Jose Giants	—	408	366	68	16	1	5	37	160	2	2	1	186	264	276	540	90	310	39	9	242	50	—	—	—	—	—	—
2021	20	A RAW	San Jose Giants	—	408	340	78	20	1	7	63	113	2	2	1	229	353	356	709	126	320	28	15	325	50	—	—	—	—	—	—
2022	21	A+ MLE	Eugene Emeralds	—	437	392	61	14	1	14	38	202	4	0	0	156	237	304	541	148	263	46	9	237	47	—	—	—	—	—	—
2022	21	A+ RAW	Eugene Emeralds	—	437	378	79	18	1	21	52	154	4	0	0	209	311	429	740	220	282	35	12	327	47	—	—	—	—	—	—
2023	22	A+ MLE	Eugene Emeralds	—	412	369	66	14	1	12	39	148	1	1	0	179	259	320	579	141	256	36	9	255	59	—	—	—	—	—	—
2023	22	A+ RAW	Eugene Emeralds	—	412	354	82	18	1	17	54	112	1	1	0	232	335	432	767	201	286	27	13	340	59	—	—	—	—	—	—
2024	23	AA MLE	Richmond Flying Squirrels	—	239	214	37	6	2	6	19	107	3	0	2	173	250	304	554	131	301	45	8	241	49	—	—	—	—	—	—
2024	23	AA RAW	Richmond Flying Squirrels	—	239	206	43	8	2	8	27	90	3	0	2	209	309	383	693	175	318	38	11	309	49	—	—	—	—	—	—
2018	17	ROK MLE	DSL Giants	—	274	230	37	8	1	5	35	76	7	4	1	161	289	270	559	109	203	28	13	252	57	—	—	—	—	—	—
2019	18	ROK MLE	AZL Giants Orange	—	234	202	40	10	2	2	28	78	2	4	5	198	302	297	599	99	299	33	12	273	71	—	—	—	—	—	—
2021	20	A MLE	San Jose Giants	—	408	366	68	16	1	5	37	160	2	2	1	186	264	276	540	90	303	39	9	242	50	—	—	—	—	—	—
2022	21	A+ MLE	Eugene Emeralds	—	437	392	61	14	1	14	38	202	4	0	0	156	237	304	541	148	256	46	9	237	47	—	—	—	—	—	—
2023	22	A+ MLE	Eugene Emeralds	—	412	369	66	14	1	12	39	148	1	1	0	179	259	320	579	141	250	36	9	255	59	—	—	—	—	—	—
2024	23	AA MLE	Richmond Flying Squirrels	—	239	215	37	6	2	6	19	107	3	0	2	172	250	302	552	130	289	45	8	241	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	23	AA MLE	Richmond Flying Squirrels	—	239	215	37	6	2	6	19	107	3	0	2	172	250	302	552	130	289	45	8	241	49	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2004	1774	309	68	8	44	196	771	19	11	9	174	263	296	559	122	273	38	10	248	54	-109	-1	+0	+21	+43	-4.6
/ 162G	—	MLE		—	650	575	100	22	3	14	64	250	6	4	3	174	264	296	559	122	273	38	10	248	54	-35	-0	+0	+7	+14	-1.5

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.

2024 AARichmond Flying Squirrels · 239 PAwOBA .303 → .241 (−63)K% 37.7% → 44.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.66%	÷1.025	×1.220	—	—	44.83%
BB% (unintentional) /PA	11.30%	÷0.988	×0.700	—	×1.012	8.10%
HBP% /PA	1.26%	—	×0.850	—	×1.012	1.08%
Singles /BIP	21.55%	÷0.999	×0.970	×0.984	×1.012	20.84%
Doubles /BIP	6.90%	÷1.110	×0.860	×0.984	×1.012	5.33%
Triples /BIP	1.72%	÷0.900	×0.950	×0.984	×1.012	1.81%
Home runs /BIP	6.90%	÷1.062	×0.780	—	×1.012	5.13%

Factors used: league row EL. Park (home-season share, regressed): HR 112, 1B 100, 2B 122, 3B 80, K 105, BB 98 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.

Result: wOBA .303 → .241; ISO .175 → .130; BABIP .318 → .289. 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).

2023 A+Eugene Emeralds · 412 PAwOBA .332 → .255 (−77)K% 27.2% → 35.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.18%	÷1.021	×1.350	—	—	35.94%
BB% (unintentional) /PA	12.86%	÷0.975	×0.710	—	×0.998	9.35%
HBP% /PA	0.24%	—	×0.810	—	×0.998	0.20%
Singles /BIP	19.01%	÷1.047	×0.910	×1.043	×0.998	17.20%
Doubles /BIP	7.44%	÷1.031	×0.830	×1.043	×0.998	6.24%
Triples /BIP	0.41%	÷0.900	×0.820	×1.043	×0.998	0.39%
Home runs /BIP	7.02%	÷1.076	×0.830	—	×0.998	5.41%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 109, 2B 106, 3B 80, K 104, BB 95 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .332 → .255; ISO .201 → .147; BABIP .286 → .250. 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).

2022 A+Eugene Emeralds · 437 PAwOBA .320 → .237 (−83)K% 35.2% → 46.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.24%	÷1.029	×1.350	—	—	46.22%
BB% (unintentional) /PA	11.67%	÷0.978	×0.710	—	×1.012	8.58%
HBP% /PA	0.92%	—	×0.810	—	×1.012	0.75%
Singles /BIP	17.41%	÷0.989	×0.910	×1.022	×1.012	16.57%
Doubles /BIP	8.04%	÷0.953	×0.830	×1.022	×1.012	7.24%
Triples /BIP	0.45%	÷0.930	×0.820	×1.022	×1.012	0.41%
Home runs /BIP	9.38%	÷1.120	×0.830	—	×1.012	7.03%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 98, 2B 91, 3B 86, K 106, BB 96 — 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 ×1.022.

Result: wOBA .320 → .237; ISO .220 → .150; BABIP .282 → .256. 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 ASan Jose Giants · 408 PAwOBA .319 → .242 (−76)K% 27.7% → 39.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.70%	÷0.959	×1.360	—	—	39.26%
BB% (unintentional) /PA	15.44%	÷1.203	×0.690	—	×1.015	8.99%
HBP% /PA	0.49%	—	×0.780	—	×1.015	0.39%
Singles /BIP	22.03%	÷0.977	×0.920	×1.039	×1.015	21.88%
Doubles /BIP	8.81%	÷1.014	×0.830	×1.039	×1.015	7.61%
Triples /BIP	0.44%	÷1.098	×0.910	×1.039	×1.015	0.39%
Home runs /BIP	3.08%	÷1.008	×0.800	—	×1.015	2.49%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 95, 2B 103, 3B 120, K 92, BB 141 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .319 → .242; ISO .126 → .098; BABIP .320 → .303. 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 ROKAZL Giants Orange · 234 PAwOBA .396 → .273 (−123)K% 23.1% → 33.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷1.000	×1.440	—	—	33.23%
BB% (unintentional) /PA	19.23%	÷1.000	×0.620	—	×1.008	12.01%
HBP% /PA	0.85%	—	×0.720	—	×1.008	0.62%
Singles /BIP	25.95%	÷1.000	×0.820	×0.950	×1.008	20.37%
Doubles /BIP	11.45%	÷1.000	×0.720	×0.950	×1.008	7.89%
Triples /BIP	2.29%	÷1.000	×0.720	×0.950	×1.008	1.58%
Home runs /BIP	2.29%	÷1.000	×0.780	—	×1.008	1.80%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .396 → .273; ISO .162 → .113; BABIP .400 → .299. 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 DSLDSL Giants · 274 PAwOBA .394 → .252 (−143)K% 22.6% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.63%	÷1.000	×1.220	—	—	27.61%
BB% (unintentional) /PA	18.25%	÷1.000	×0.700	—	×1.008	12.87%
HBP% /PA	2.55%	—	×0.700	—	×1.008	1.80%
Singles /BIP	22.22%	÷1.000	×0.680	×0.954	×1.008	14.52%
Doubles /BIP	8.50%	÷1.000	×0.600	×0.954	×1.008	4.90%
Triples /BIP	0.65%	÷1.000	×0.600	×0.954	×1.008	0.38%
Home runs /BIP	6.54%	÷1.000	×0.470	—	×1.008	3.09%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.954.

Result: wOBA .394 → .252; ISO .209 → .110; BABIP .333 → .203. 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).