Luis Toribio — OGILVIE

Luis ToribioSS Richmond Flying Squirrels

Age 25 L/R 6'1" / 185 lbs AA HR -15%H -3% Svc 0.0 · Ctrl thru 2034

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 197 proj PA

wRC+†61

AVG/OBP/SLG.184 / .257 / .307

PA16

HR0

K%34

BB%8

ISO125

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 20 / POW 44

Toolsscout grade

CONTACT20

scouting grade only

POWER44

scouting grade only

EYE49

scouting grade only

SPEED42

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
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
Totals		$0.0M		$-1M	+$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)
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	159	+19	+0	—	—	+6	2.6
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	158	+16	-1	—	—	+5	2.0
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	106	+3	+0	—	—	+9	1.2
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	108	+4	+0	—	—	+9	1.4
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	116	+8	+0	—	—	+9	1.7
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	95	-1	-1	—	—	+5	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	17	ROK MLE	DSL Giants	—	274	235	44	9	1	8	31	89	7	4	1	187	300	336	637	149	248	32	11	275	72	-9	+0	—	—	+6	-0.3
2019	18	ROK MLE	AZL Giants Orange	—	234	202	40	10	2	2	28	78	2	4	5	198	302	297	599	99	297	33	12	271	70	-8	-1	—	—	+5	-0.5
2021	20	A MLE	San Jose Giants	—	408	367	67	16	1	5	36	160	2	2	1	183	259	272	532	90	299	39	9	239	48	-25	+0	—	—	+9	-1.7
2022	21	A+ MLE	Eugene Emeralds	—	437	397	57	13	1	13	33	209	4	0	0	144	217	280	496	136	239	48	8	218	34	-34	+0	—	—	+9	-2.6
2023	22	A+ MLE	Eugene Emeralds	—	412	374	63	13	1	12	34	154	1	1	0	168	240	305	544	136	236	37	8	239	48	-26	+0	—	—	+9	-1.7
2024	23	AA MLE	Richmond Flying Squirrels	—	239	214	36	6	2	6	19	107	3	0	2	168	246	299	545	131	279	45	8	235	45	-16	-1	—	—	+5	-1.1
2018	17	ROK MLE	DSL Giants	—	274	235	44	9	1	8	31	89	7	4	1	187	300	336	637	149	259	32	11	275	72	—	—	—	—	—	—
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	72	—	—	—	—	—	—
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	271	70	—	—	—	—	—	—
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	70	—	—	—	—	—	—
2021	20	A MLE	San Jose Giants	—	408	367	67	16	1	5	36	160	2	2	1	183	259	272	532	90	304	39	9	239	48	—	—	—	—	—	—
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	48	—	—	—	—	—	—
2022	21	A+ MLE	Eugene Emeralds	—	437	397	57	13	1	13	33	209	4	0	0	144	217	280	496	136	247	48	8	218	34	—	—	—	—	—	—
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	34	—	—	—	—	—	—
2023	22	A+ MLE	Eugene Emeralds	—	412	374	63	13	1	12	34	154	1	1	0	168	240	305	544	136	243	37	8	239	48	—	—	—	—	—	—
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	48	—	—	—	—	—	—
2024	23	AA MLE	Richmond Flying Squirrels	—	239	214	36	6	2	6	19	107	3	0	2	168	246	299	545	131	291	45	8	235	45	—	—	—	—	—	—
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	45	—	—	—	—	—	—
2018	17	ROK MLE	DSL Giants	—	274	234	44	9	1	8	31	89	7	4	1	188	300	338	638	150	248	32	11	275	72	—	—	—	—	—	—
2019	18	ROK MLE	AZL Giants Orange	—	234	202	40	10	2	2	28	78	2	4	5	198	302	297	599	99	297	33	12	271	70	—	—	—	—	—	—
2021	20	A MLE	San Jose Giants	—	408	367	67	16	1	5	36	160	2	2	1	183	259	272	532	90	299	39	9	239	48	—	—	—	—	—	—
2022	21	A+ MLE	Eugene Emeralds	—	437	397	57	13	1	13	33	209	4	0	0	144	217	280	496	136	239	48	8	218	34	—	—	—	—	—	—
2023	22	A+ MLE	Eugene Emeralds	—	412	374	63	13	1	12	34	154	1	1	0	168	240	305	544	136	236	37	8	239	48	—	—	—	—	—	—
2024	23	AA MLE	Richmond Flying Squirrels	—	239	215	36	6	2	6	19	107	3	0	2	167	246	298	543	130	279	45	8	235	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	A+ MLE	Eugene Emeralds	—	412	374	63	13	1	12	34	154	1	1	0	168	240	305	544	136	236	37	8	239	48	—	—	—	—	—	—
2024	23	AA MLE	Richmond Flying Squirrels	—	239	215	36	6	2	6	19	107	3	0	2	167	246	298	543	130	279	45	8	235	45	—	—	—	—	—	—
▸ 2026 season
2026	25	MLB MLE	SF	2%	16	15	3	1	0	0	1	5	0	0	0	200	250	267	517	67	260	31	6	258	61	-1	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	SF	31%	250	225	43	8	1	6	21	81	2	3	1	191	266	316	582	124	264	32	8	266	66	-10	+0	+0	+3	+5	-0.2
2028	27	MLB MLE	SF	42%	307	275	53	10	1	8	26	97	3	4	1	193	270	324	593	131	266	32	8	270	69	-11	+0	+0	+3	+7	-0.1
2029	28	MLB MLE	SF	48%	343	308	61	12	1	9	29	108	3	4	2	198	274	331	605	133	267	31	8	272	70	-12	+0	-1	+4	+7	-0.2
2030	29	MLB MLE	SF	49%	359	322	64	12	2	9	31	113	3	4	1	199	275	332	608	134	267	31	9	272	70	-13	+0	-1	+4	+8	-0.2
2031	30	MLB MLE	SF	50%	369	331	64	12	1	9	32	117	3	4	1	193	270	317	588	124	266	32	9	269	68	-14	+0	-2	+4	+8	-0.4
2027	26	MLB CTX	SF	31%	78	71	13	3	0	2	6	25	1	1	0	183	256	310	566	127	259	32	8	252	66	-3	+0	+0	+1	+2	-0.0
2028	27	MLB CTX	SF	42%	129	116	22	4	1	3	11	41	1	2	1	190	266	319	585	129	261	32	9	257	69	-5	+0	+0	+1	+3	-0.1
2029	28	MLB CTX	SF	48%	164	147	28	5	1	4	14	51	2	2	1	190	270	320	590	129	262	31	9	259	70	-6	+0	-0	+2	+4	-0.1
2030	29	MLB CTX	SF	49%	177	158	31	6	1	4	15	56	2	2	1	196	274	323	597	127	262	32	8	258	70	-6	+0	-1	+2	+4	-0.1
2031	30	MLB CTX	SF	50%	185	165	32	6	1	4	16	58	2	2	1	194	273	315	588	121	261	31	9	256	68	-7	+0	-1	+2	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	733	657	126	24	4	17	62	231	8	9	4	192	270	318	588	126	264	32	8	257	59	-27	+0	-2	+8	+16	-0.5
/ 162G	—	A+C		—	650	583	112	21	4	15	55	205	7	8	4	192	270	319	589	127	264	32	8	257	59	-24	+0	-2	+7	+14	-0.5
Career	—	MLE		—	3648	3265	595	122	14	87	321	1318	33	30	15	182	262	308	570	126	270	36	9	255	59	-61	+1	-4	+18	+36	-1.1
/ 162G	—	MLE		—	650	582	106	22	2	16	57	235	6	5	3	182	262	309	571	127	269	36	9	255	59	-24	+1	-2	+7	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#3Adam 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
#4Ryan 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
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.1	737	18	9	196	270	328	+8	+6	0.1	0.1
/162	664	17	8	+7.1	+5.4	0.1	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
Luis Toribio (OGILVIE)	25	20	44	42	49	184/257/307	123	260	5	3	34%	8%	61	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ben Rortvedt 2023 · MLB	25	38	46→45	46→40	39	196/258/318	122	283	14	4	35%	7%	63	-1.4	207/287/317	110	285	12	5	29%	9%	74	-0.6	195/283/285	90	265	9	2	28%	9%	64	-0.6
✕Tristan Gray 2021 · AA	25	38→35	48→50	37→40	45	201/269/345	144	250	16	5	26%	8%	73	-0.6	193/247/339	146	271	18	5	35%	6%	63	-1.4	198/254/329	130	265	15	3	30%	6%	62	-0.9
✕Andy Yerzy 2023 · AA	25	35	49→50	49→40	45	189/272/334	145	258	18	5	33%	9%	72	-0.7	198/270/321	123	274	14	7	31%	8%	68	-1.0	141/208/218	76	221	10	2	39%	7%	18	-1.3
✕Will Robertson 2023 · AA	25	38→41	46→50	39→45	38	193/255/322	130	282	13	4	35%	6%	63	-1.4	199/260/350	151	283	17	6	34%	7%	71	-0.8	194/259/348	154	271	18	5	34%	7%	68	-0.7
✕John Whittleman 2012 · AA	25	35→43	48→50	43→45	48	188/264/331	143	245	16	3	30%	9%	68	-1.0	199/285/349	150	287	17	5	34%	11%	80	-0.2	172/279/328	156	250	17	1	36%	13%	73	-0.4
✕Taylor Gushue 2019 · AA	25	35	45	42→30	40	185/241/301	117	246	14	2	31%	6%	52	-2.2	212/260/339	127	292	14	3	31%	6%	68	-1.0	199/260/327	128	276	15	0	32%	7%	64	-0.6
✕Quincy McAfee 2023 · AA	25	39	42→45	42→45	46	191/280/293	102	262	10	6	29%	9%	65	-1.2	199/277/327	128	250	14	10	25%	7%	72	-0.7	186/267/323	137	222	16	12	24%	7%	65	-0.7
✕Davis Wendzel 2023 · AAA	26	34→28	49→50	43→40	42	187/252/323	136	248	18	5	32%	7%	62	-1.4	195/274/335	140	245	18	5	28%	8%	73	-0.6	196/273/324	129	231	14	4	22%	7%	68	-0.5
✕Nick Quintana 2023 · AA	25	38→40	43→45	42→45	48	191/276/299	108	261	11	5	30%	10%	65	-1.2	196/278/300	104	279	9	7	31%	9%	66	-1.1	110/223/191	81	162	7	0	33%	9%	22	-1.0
✕Jose Brizuela 2018 · A	25	43→39	46→50	41→45	41	214/276/340	126	302	13	5	32%	7%	74	-0.6	212/261/316	104	293	11	6	30%	6%	62	-1.4	169/202/247	78	217	11	0	28%	4%	22	-0.9
✕Justin Toerner 2022 · AAA	25	40	43→40	45→50	44	196/281/302	106	288	11	8	34%	9%	68	-1.0	189/284/296	107	281	11	11	34%	10%	68	-1.0	162/272/259	97	241	10	12	34%	11%	55	-0.9
✕Aaron Antonini 2023 · AA	25	37	43→40	46→45	45	187/273/288	101	243	12	5	27%	8%	62	-1.4	210/288/330	120	290	13	9	31%	7%	77	-0.3	183/273/312	129	276	14	8	36%	7%	66	-0.3
✕Eric Jagielo 2017 · AA	25	41→36	44→45	47→30	39	202/265/317	115	293	12	2	34%	6%	65	-1.2	184/246/276	92	267	9	3	33%	6%	49	-2.4	163/227/246	83	235	8	1	32%	6%	32	-2.4
✕Colton Shaver 2021 · AA	25	37→32	50	43→30	42	197/270/347	150	277	18	3	34%	8%	74	-0.5	187/272/322	135	339	16	5	46%	8%	70	-0.9	134/247/270	135	231	20	0	48%	10%	47	-1.1
✕Trevor Schwecke 2023 · AAA	25	39	43→45	41→50	39	194/254/302	108	288	10	6	35%	6%	57	-1.8	221/278/332	111	314	9	14	31%	6%	72	-0.7	228/287/337	109	320	8	17	29%	6%	75	-0.3
✕Mitch Walding 2018 · AA	25	39→45	47→50	43→40	41	197/266/332	135	300	15	4	38%	8%	69	-0.9	196/289/336	140	328	16	4	41%	11%	79	-0.2	179/279/313	134	320	16	3	44%	11%	68	-0.5
✕Michael Burgess 2014 · AA	25	38→42	46→50	43→45	43	197/254/326	129	253	14	2	28%	7%	63	-1.4	218/261/366	148	281	14	6	27%	5%	74	-0.6	247/281/441	194	300	19	6	24%	4%	99	+0.8
✕Jared Walker 2021 · AA	25	39→32	49→55	47→45	38	192/276/337	145	309	17	7	41%	8%	75	-0.5	188/268/302	114	400	12	11	51%	8%	63	-1.3	98/201/187	90	256	12	12	61%	9%	11	-1.3
✕Patrick Dorrian 2022 · AAA	26	40→38	47→50	47→45	42	202/270/337	135	297	15	6	36%	8%	71	-0.8	191/257/327	136	288	16	6	37%	8%	64	-1.3	171/238/297	126	254	16	5	38%	7%	47	-1.5
✕Jameson Fisher 2019 · AA	25	40→37	41→45	42→45	42	194/266/293	98	285	8	6	33%	8%	60	-1.6	200/265/302	102	296	9	6	33%	7%	61	-1.5	201/263/307	106	288	10	4	32%	7%	60	-1.2

Career Stats + Projections

Career Comps

Career Path Comps