Guillermo Batista

Guillermo BatistaSS FCL Tigers

Age 19 S/R 6'1" / 195 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION45 act + 11 ros · stats below = ROS only

showingROS

wRC+†72

AVG/OBP/SLG.100 / .182 / .100

PA11

HR0

K%27

BB%9

BABIP271

ISO91

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$28M ctrl surplus

Tools · ContractCON 38 / POW 36

Toolsscout grade

CONTACT38

scouting grade only

POWER36

scouting grade only

EYE68

scouting grade only

SPEED53

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.6	$1M	+$0.0M (cut)
2036	Arb-2	$5M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$6M	+0.4	$0.7M	+$0.0M (cut)
Totals		$3M		$8M	+$4M

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)
2024	17	ROK	DSL Tigers 1	—	156	122	28	7	1	1	28	38	4	5	4	230	390	328	717	98	318	24	18	336	113	+2	-1	—	—	+3	0.5
2025	18	ROK	DSL Tigers 1	—	143	106	26	7	0	3	31	25	5	4	0	245	437	396	833	151	291	17	22	385	146	+8	+1	—	—	+3	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tigers 1	—	156	133	22	5	1	1	17	55	4	5	4	165	279	241	520	75	248	35	11	231	42	-11	-1	—	—	+3	-0.8
2025	18	ROK MLE	DSL Tigers 1	—	143	118	19	5	0	1	19	36	5	4	0	161	303	229	532	68	213	25	13	245	52	-8	+1	—	—	+3	-0.4
2024	17	ROK MLE	DSL Tigers 1	—	156	133	22	5	1	1	17	55	4	5	4	165	279	241	520	75	266	35	11	231	42	—	—	—	—	—	—
2024	17	ROK RAW	DSL Tigers 1	—	156	122	28	7	1	1	28	38	4	5	4	230	390	328	717	98	318	24	18	336	42	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 1	—	143	118	19	5	0	1	19	36	5	4	0	161	303	229	532	68	220	25	13	245	52	—	—	—	—	—	—
2025	18	ROK RAW	DSL Tigers 1	—	143	106	26	7	0	3	31	25	5	4	0	245	437	396	833	151	291	17	22	385	52	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 1	—	156	134	22	5	1	1	17	55	4	5	4	164	279	239	518	75	248	35	11	231	42	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 1	—	143	118	19	5	0	1	19	36	5	4	0	161	303	229	532	68	213	25	13	245	52	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Tigers 1	—	156	134	22	5	1	1	17	55	4	5	4	164	279	239	518	75	248	35	11	231	42	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 1	—	143	118	19	5	0	1	19	36	5	4	0	161	303	229	532	68	213	25	13	245	52	—	—	—	—	—	—
YTD	19	ROK MLE	DET	—	45	39	8	3	1	1	6	13	0	3	0	205	311	410	721	205	280	29	13	297	87	-1	+1	+0	+0	+1	0.1
▸ 2026 season
YTD	19	ROK RAW	DET	—	45	35	10	4	1	1	10	9	0	3	0	286	444	543	987	257	360	20	22	432	87	—	—	—	—	—	—
ROS	19	ROK MLE	DET	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		276	27	9	274	72	-0	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	DET	—	56	49	9	3	1	1	7	16	0	3	0	184	286	347	633	163	250	29	12	292	84	-1	+1	+0	+1	+1	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	DET	34%	206	180	37	8	1	3	21	54	3	4	1	206	299	311	610	106	277	26	10	282	77	-6	+0	+0	+2	+4	0.2
2028	21	MLB MLE	DET	48%	337	296	63	13	2	6	34	87	4	7	2	213	302	331	633	118	280	26	10	290	82	-7	+1	+0	+4	+7	0.4
2029	22	MLB MLE	DET	54%	432	380	83	17	3	8	43	109	6	9	2	218	308	342	650	124	281	25	10	294	85	-8	+1	+0	+5	+9	0.8
2030	23	MLB MLE	DET	57%	496	438	96	20	3	10	49	125	6	10	2	219	306	347	653	128	282	25	10	297	87	-8	+1	+0	+5	+11	1.0
2031	24	MLB MLE	DET	57%	537	471	106	22	4	11	54	135	7	11	3	225	314	359	673	134	283	25	10	299	88	-7	+1	+0	+6	+12	1.1
2032	25	MLB MLE	DET	57%	561	493	109	22	4	11	56	140	7	12	3	221	309	349	658	128	283	25	10	299	89	-7	+1	+0	+6	+12	1.2
2033	26	MLB MLE	DET	56%	574	503	112	23	4	12	58	143	8	12	3	223	313	356	669	133	283	25	10	300	89	-8	+1	+0	+6	+12	1.3
2034	27	MLB MLE	DET	55%	578	506	112	23	4	12	59	145	8	12	3	221	312	354	666	132	283	25	10	300	89	-8	+1	+0	+6	+13	1.3
2035	28	MLB MLE	DET	55%	575	503	112	23	4	12	59	145	8	12	3	223	314	356	670	133	282	25	10	299	88	-8	+1	-1	+6	+12	1.1
2036	29	MLB MLE	DET	53%	567	496	109	22	4	11	59	144	7	11	3	220	311	347	658	127	282	25	10	297	87	-9	+1	-1	+6	+12	1.0
2037	30	MLB MLE	DET	53%	557	487	106	22	3	11	58	143	7	11	2	218	310	343	653	125	281	26	10	295	86	-10	+1	-2	+6	+12	0.8
2038	31	MLB MLE	DET	52%	543	475	102	21	3	10	56	141	7	10	2	215	307	335	641	120	279	26	10	291	83	-11	+1	-3	+6	+12	0.5
2039	32	MLB MLE	DET	52%	525	459	97	20	3	9	54	138	7	9	2	211	304	327	631	115	276	26	10	286	79	-13	+1	-4	+6	+11	0.2
2040	33	MLB MLE	DET	56%	496	436	89	18	3	8	51	133	6	8	2	204	296	314	610	110	272	27	10	279	75	-15	+1	-4	+5	+11	-0.2
2027	20	MLB CTX	DET	34%	71	63	14	3	1	1	7	19	1	1	0	222	310	349	659	127	273	27	10	269	77	-2	+0	+0	+1	+2	0.1
2028	21	MLB CTX	DET	48%	163	144	30	6	1	3	16	42	2	3	1	208	296	326	623	118	275	26	10	276	82	-3	+0	+0	+2	+4	0.2
2029	22	MLB CTX	DET	54%	234	206	44	9	2	4	23	59	3	5	1	214	302	335	637	121	276	25	10	280	85	-4	+1	+0	+3	+5	0.4
2030	23	MLB CTX	DET	57%	281	247	53	11	2	5	28	71	4	6	1	215	305	336	641	121	277	25	10	283	87	-4	+1	+0	+3	+6	0.6
2031	24	MLB CTX	DET	57%	304	267	58	12	2	6	30	76	4	6	1	217	306	345	650	127	278	25	10	285	88	-4	+1	+0	+3	+7	0.7
2032	25	MLB CTX	DET	57%	317	278	60	12	2	6	32	79	4	7	1	216	306	338	644	122	278	25	10	285	89	-4	+1	+0	+3	+7	0.7
2033	26	MLB CTX	DET	56%	324	284	62	13	2	6	33	81	4	7	2	218	308	342	650	123	278	25	10	285	89	-4	+1	+0	+3	+7	0.7
2034	27	MLB CTX	DET	55%	320	280	60	12	2	6	33	80	4	7	2	214	306	336	642	121	278	25	10	286	89	-4	+1	+0	+3	+7	0.7
2035	28	MLB CTX	DET	55%	316	277	60	12	2	6	32	80	4	6	1	217	307	339	646	123	278	25	10	285	88	-4	+1	-0	+3	+7	0.6
2036	29	MLB CTX	DET	53%	303	265	58	12	2	6	31	77	4	6	1	219	310	347	657	128	277	25	10	283	87	-5	+1	-1	+3	+7	0.5
2037	30	MLB CTX	DET	53%	293	257	54	11	2	5	30	75	4	6	1	210	302	327	629	117	276	26	10	281	86	-5	+1	-1	+3	+6	0.4
2038	31	MLB CTX	DET	52%	283	248	53	11	2	5	29	73	4	5	1	214	306	335	641	121	274	26	10	277	83	-6	+1	-1	+3	+6	0.3
2039	32	MLB CTX	DET	52%	272	239	49	10	2	4	28	72	3	5	1	205	296	314	610	109	271	26	10	272	79	-7	+1	-2	+3	+6	0.1
2040	33	MLB CTX	DET	56%	278	245	49	10	2	4	28	75	3	5	1	200	290	306	596	106	267	27	10	266	75	-8	+1	-2	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3759	3300	704	144	26	67	380	959	48	75	15	213	304	334	637	120	278	26	10	281	84	-65	+9	-8	+40	+81	5.9
/ 162G	—	A+C		—	650	571	122	25	4	12	66	166	8	13	3	214	304	335	638	121	278	26	10	281	84	-11	+2	-1	+7	+14	1.0
Career	—	MLE		—	7294	6384	1375	284	46	136	748	1876	100	147	37	215	307	338	646	123	281	26	10	292	84	-123	+14	-15	+75	+152	10.6
/ 162G	—	MLE		—	650	569	122	25	4	12	67	167	9	13	3	214	307	336	643	121	280	26	10	292	84	-11	+1	-1	+7	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#3Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#4Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#5Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.8	3,879	73	76	218	305	341	+42	+24	8.5	7.2
/162	664	12	13	+7.1	+4.1	1.5	pk7: 6
#6Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5

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
Guillermo Batista (OGILVIE)	19	33→38	31→36	48→53	68	201/290/302	101	276	1	3	27%	10%	72	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Perez 2023 · A	19	41	36→40	44→45	50	191/273/255	63	252	3	8	24%	9%	53	-2.1	201/307/293	92	271	5	6	25%	12%	76	-0.4	184/305/272	88	246	5	5	24%	13%	69	-0.3
✕Jorge Minyety 2010 · A	19	46	35→30	50	55	208/299/269	61	275	1	14	22%	11%	67	-1.1	215/285/280	65	301	2	9	27%	9%	63	-1.4	224/291/259	35	315	0	4	26%	9%	56	-0.4
✕Maick Collado 2022 · A	19	42	38→40	48→45	51	198/287/276	78	260	5	6	24%	10%	64	-1.3	216/293/291	75	279	5	7	22%	9%	69	-0.9	211/293/279	67	267	5	6	21%	9%	67	-0.5
✕Dayan Frias 2021 · A	19	42→41	36→40	49→55	54	196/284/265	69	257	2	11	23%	10%	60	-1.6	207/279/298	91	304	7	6	31%	8%	65	-1.2	202/277/297	95	295	8	6	32%	8%	63	-0.8
✕Bengie González 2009 · A	19	41→51	34→40	51→50	47	194/264/244	51	272	2	11	28%	8%	47	-2.5	207/258/252	45	280	1	12	25%	6%	46	-2.6	255/307/351	95	309	4	12	18%	7%	84	+0.1
✕Jeremy Arocho 2018 · A	19	43→45	38→30	53→60	41	203/260/286	83	285	4	12	29%	6%	55	-2.0	223/283/291	68	291	2	11	22%	7%	64	-1.3	223/334/268	45	305	1	34	23%	14%	77	-0.2
✕Jon Del Campo 2007 · A	19	43	38→45	45→55	46	205/268/282	77	271	6	5	26%	8%	57	-1.8	205/257/287	82	297	4	5	30%	6%	53	-2.1	267/298/376	109	332	10	18	22%	3%	90	+0.3
✕Dalton Pompey 2012 · A	19	39→49	41→45	56→55	45	193/266/287	94	270	9	17	30%	8%	58	-1.7	218/283/318	100	304	7	21	28%	8%	71	-0.8	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Ramón Cabrera 2009 · A	19	43→53	40	51→40	49	209/274/305	96	254	7	7	20%	8%	65	-1.2	237/285/325	88	280	4	5	16%	6%	73	-0.6	271/325/356	85	309	2	3	12%	7%	92	+0.6
✕Riley Unroe 2015 · A	19	39→48	37→45	47→55	46	188/255/261	74	254	4	8	27%	8%	48	-2.5	196/259/258	62	280	4	10	29%	7%	48	-2.5	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕Dervy Ventura 2023 · A	19	43→50	36→40	50→55	48	201/279/276	75	282	2	6	28%	9%	60	-1.6	217/294/306	89	287	6	14	24%	9%	73	-0.6	220/305/307	86	295	7	22	25%	10%	74	-0.3
✕Enmanuel Terrero 2022 · A	19	43	36→45	46→55	53	200/285/268	68	260	3	9	23%	10%	61	-1.5	217/295/305	88	312	7	14	30%	10%	73	-0.6	206/286/298	92	317	9	17	35%	10%	65	-0.5
✕Josh Johnson 2006 · A	20	43→49	39→45	48→50	50	203/280/297	94	266	5	9	24%	9%	65	-1.2	218/304/287	69	285	3	10	22%	11%	72	-0.7	244/312/343	100	289	8	16	17%	9%	85	+0.1
✕Angel Genao 2023 · A	19	45→55	37→45	51→50	46	211/284/282	71	293	4	12	28%	8%	63	-1.3	242/292/348	106	310	7	11	23%	6%	80	-0.1	262/318/385	123	318	10	13	20%	7%	97	+0.9
✕Junior Valera 2013 · A	20	42	36→40	51→60	45	196/266/265	69	275	2	10	28%	8%	53	-2.1	226/289/310	84	293	3	18	22%	8%	71	-0.8	245/308/338	94	307	3	28	20%	8%	80	-0.0
✕Michael Chirinos 2018 · A	18	41	37→40	51→55	50	193/251/266	73	225	4	11	16%	7%	47	-2.5	226/292/296	70	250	5	13	11%	8%	69	-0.9	236/307/298	61	253	5	16	8%	9%	76	-0.2
✕Rodolfo Penalo 2012 · A	19	43	36→40	47→65	48	203/270/269	66	256	4	16	21%	8%	55	-1.9	209/282/280	71	262	3	24	20%	8%	62	-1.4	212/299/273	61	273	1	34	20%	10%	63	-0.4
✕Kelvin Alarcon 2019 · A	20	43	35→30	48→55	51	200/292/258	58	284	3	8	28%	11%	62	-1.4	210/273/275	65	326	3	8	33%	7%	57	-1.8	203/265/239	35	320	0	8	34%	8%	43	-0.6
✕Pedro Ruiz 2011 · A	19	40	35→30	48→50	53	183/285/242	59	262	2	9	28%	11%	56	-1.9	209/289/266	57	311	2	11	30%	10%	61	-1.5	208/283/260	52	316	2	11	32%	9%	55	-1.0
✕Jose Acosta 2019 · A	19	39	37→45	53→55	47	185/259/257	72	250	4	14	26%	8%	49	-2.4	225/287/322	97	319	6	19	29%	7%	74	-0.6	203/263/320	117	308	11	21	36%	6%	62	-0.7

Career Stats + Projections

Career Comps

Career Path Comps