Guillermo Batista

Guillermo BatistaSS DSL Tigers 1

Age 19 S/R 6'1" / 195 lbs ROK HR +5%H +3% Svc 0.0 · Ctrl thru 2037 peak 3.4 · 2033

wRC+†73

AVG/OBP/SLG.209 / .291 / .318

PA119

HR2

K%28

BB%9

MLB%0%

Scouting · now → future

HIT

33↗38

PWR

30↗35

SPD

48↗53

EYE

62↗67

trajectory · 10 yrs

3.4peak

2034

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	Ext / FA-deal	$0.9M	+3.2	$31M	+$30M
2033	Ext / FA-deal	$1.0M	+3.4	$33M	+$32M
2034	Ext / FA-deal	$1.0M	+3.4	$34M	+$33M
2035	Ext / FA-deal	$7M	+3.2	$33M	+$27M
2036	Ext / FA-deal	$10M	+3.0	$32M	+$22M
2037	Ext / FA-deal	$14M	+2.7	$30M	+$16M
Totals		$34M		$194M	+$160M

Career Projections (MLE)

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	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
2024	17	ROK	DSL Tigers 1	156	133	22	5	1	1	17	55	4	5	4	.165	.279	.241	.520	.075	.266	35	11	.230	34	-12	-1	+0	+2	+4	-0.6
2025	18	ROK	DSL Tigers 1	143	119	17	5	0	0	18	37	5	4	0	.143	.282	.185	.467	.042	.205	26	13	.235	38	-10	+1	+0	+2	+4	-0.4
▸ 2026 Season
2026	19	MLB	DET	119	106	22	4	1	2	11	34	1	2	1	.208	.288	.321	.609	.113	.285	29	9	.280	73	-4	+0	+0	+1	+3	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	20	MLB 11%	DET	206	180	40	7	1	5	21	55	3	4	1	.222	.314	.356	.669	.133	.293	27	10	.301	89	-3	+0	+0	+2	+6	0.6
2028	21	MLB 28%	DET	337	294	67	12	2	8	35	87	5	8	2	.228	.320	.364	.684	.136	.294	26	10	.312	97	-1	+1	+0	+4	+10	1.3
2029	22	MLB 48%	DET	432	376	89	16	3	12	47	108	6	10	2	.237	.331	.391	.722	.154	.294	25	11	.319	102	+1	+1	+0	+5	+12	2.0
2030	23	MLB 65%	DET	496	431	101	18	3	14	55	122	7	11	2	.234	.331	.387	.718	.153	.294	25	11	.325	107	+4	+1	+0	+5	+14	2.5
2031	24	MLB 82%	DET	537	464	111	20	3	16	61	130	7	12	2	.239	.336	.399	.735	.159	.295	24	11	.329	110	+6	+2	+0	+6	+15	2.9
2032	25	MLB	DET	561	483	116	21	3	17	65	135	8	12	2	.240	.340	.402	.742	.161	.295	24	12	.332	112	+8	+2	+0	+6	+16	3.2
2033	26	MLB	DET	574	494	119	21	3	18	67	138	8	12	2	.241	.341	.405	.746	.164	.296	24	12	.334	114	+9	+2	+0	+6	+16	3.4
2034	27	MLB	DET	578	496	119	21	3	18	69	140	8	12	2	.240	.342	.403	.745	.163	.296	24	12	.334	114	+9	+2	+0	+6	+16	3.4
2035	28	MLB	DET	575	493	117	21	3	17	69	140	8	11	2	.237	.340	.396	.736	.158	.296	24	12	.333	113	+8	+1	-1	+6	+16	3.2
2036	29	MLB	DET	567	486	116	21	3	17	68	140	8	11	1	.239	.342	.399	.741	.160	.295	25	12	.331	111	+7	+2	-1	+6	+16	3.0
2037	30	MLB	DET	557	477	112	20	3	16	67	139	8	10	1	.235	.339	.390	.729	.155	.293	25	12	.328	109	+6	+2	-2	+6	+16	2.7
2038	31	MLB	DET	543	466	108	19	3	15	65	138	7	9	0	.232	.335	.382	.717	.150	.292	25	12	.324	106	+4	+2	-3	+6	+15	2.4
2039	32	MLB	DET	525	450	103	18	3	14	63	136	7	8	0	.229	.333	.376	.708	.147	.290	26	12	.319	102	+1	+2	-4	+6	+15	2.0
2040	33	MLB	DET	496	428	95	17	2	13	59	132	6	8	0	.222	.325	.362	.687	.140	.289	27	12	.314	98	-1	+2	-4	+5	+14	1.6
2041	34	MLB	DET	449	387	85	15	2	11	53	123	6	7	0	.220	.323	.354	.677	.134	.287	27	12	.307	93	-3	+1	-5	+5	+13	1.1
2042	35	MLB	DET	395	341	72	12	2	9	46	112	5	7	0	.211	.314	.337	.651	.126	.285	28	12	.299	87	-6	+1	-6	+4	+11	0.6
2043	36	MLB	DET	335	289	60	10	2	7	39	99	4	6	0	.208	.310	.329	.639	.121	.282	30	12	.291	81	-7	+1	-6	+4	+9	0.1
2044	37	MLB	DET	270	234	46	8	1	5	31	82	3	5	0	.197	.299	.303	.602	.107	.278	30	11	.281	73	-8	+1	-7	+3	+8	-0.4
2045	38	MLB	DET	202	175	33	5	1	3	23	63	2	4	0	.189	.290	.280	.570	.091	.272	31	11	.270	65	-8	+1	-8	+2	+6	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			9053	7802	1770	316	48	238	1049	2345	126	178	24	.227	.328	.371	.699	.144	.291	26	12	.316	100	+0	+26	-46	+97	+257	34.1
/ 162G	—			650	560	127	23	3	17	75	168	9	13	2	.227	.327	.370	.697	.143	.291	26	12	.316	100	+0	+2	-3	+7	+18	2.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2024	17	ROK	DSL Tigers 1	156	122	28	7	1	1	28	38	4	5	4	.230	.390	.328	.717	.098	.318	24	18	.336	115	+3	-1	—	—	+4	0.7
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	153	+8	+1	—	—	+4	1.4

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	30→35	48→53	67	.209/.291/.318	.110	.285	2	2	28%	9%	73	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Bryan Rincon 2023 · A	19	43→42	45→40	53→65	45	.213/.281/.336	.123	.279	13	11	28%	8%	72	-0.2	.194/.288/.298	.104	.270	9	21	29%	10%	66	-0.6	.165/.260/.259	.093	.238	9	30	32%	10%	44	-1.1
✕Juan Matheus 2023 · A	19	42→46	41→40	50→55	53	.198/.304/.305	.107	.295	7	15	32%	12%	75	-0.0	.207/.301/.301	.094	.296	6	20	29%	11%	72	-0.2	.211/.291/.296	.085	.285	5	23	25%	9%	64	-0.5
★Geraldo Perdomo 2019 · A	19	46→56	36→45	53→55	55	.212/.301/.276	.064	.273	3	16	22%	11%	65	-0.7	.218/.304/.295	.077	.280	4	15	21%	9%	71	-0.3	.256/.355/.382	.126	.288	11	19	14%	12%	111	+2.2
✕Manuel Guzman 2014 · A	19	48	37→45	47→55	50	.226/.292/.301	.075	.272	4	14	18%	8%	66	-0.6	.220/.286/.278	.058	.274	2	18	19%	8%	58	-1.2	.238/.306/.305	.068	.287	4	15	17%	9%	69	-0.2
✕Juan Brito 2021 · A	19	47→48	41→50	53→45	48	.227/.287/.331	.103	.273	8	13	20%	7%	72	-0.2	.229/.306/.353	.124	.285	12	10	22%	9%	86	+0.8	.226/.311/.371	.145	.266	15	9	20%	10%	91	+1.0
✕Ramón Cabrera 2009 · A	19	44→54	40	51→40	49	.210/.275/.306	.096	.257	7	7	21%	8%	61	-1.0	.232/.280/.319	.087	.274	5	5	16%	6%	66	-0.6	.274/.327/.360	.086	.313	3	3	13%	7%	93	+0.9
●Adael Amador 2022 · A	19	45→54	41→50	45→55	47	.219/.281/.317	.098	.274	8	11	23%	8%	66	-0.6	.241/.317/.373	.132	.280	15	17	19%	9%	97	+1.5	.233/.312/.369	.136	.267	17	23	19%	9%	90	+0.8
✕Dalton Pompey 2012 · A	19	40→50	41→45	56→55	44	.195/.266/.289	.094	.272	9	17	30%	8%	53	-1.5	.217/.283/.315	.098	.299	7	21	28%	8%	66	-0.6	.253/.315/.362	.109	.325	7	28	23%	8%	88	+0.8
✕Shawn Zarraga 2009 · A	20	48	40	50→45	49	.226/.306/.321	.095	.306	6	7	26%	9%	79	+0.3	.222/.295/.296	.074	.304	5	6	26%	8%	67	-0.5	.272/.340/.355	.083	.316	4	2	14%	7%	101	+0.6
✕Ronarsy Ledesma 2012 · A	19	42	42→45	47→50	43	.205/.277/.309	.104	.271	9	8	27%	6%	64	-0.8	.224/.284/.326	.102	.290	5	11	24%	5%	70	-0.3	.226/.280/.337	.111	.291	6	11	23%	4%	69	-0.2
✕Carlos Rodriguez 2022 · A	19	40	40→45	46→45	47	.186/.285/.282	.096	.298	8	6	36%	11%	61	-1.0	.184/.262/.261	.077	.294	6	6	36%	9%	44	-2.1	.182/.268/.267	.085	.274	6	3	33%	10%	48	-0.6
●Angel Genao 2023 · A	19	45→55	37→45	52→50	47	.212/.286/.285	.072	.288	5	12	26%	8%	60	-1.0	.241/.293/.346	.105	.309	7	11	23%	6%	78	+0.2	.255/.302/.371	.117	.316	8	12	21%	6%	85	+0.5
✕Nelson Quiroz 2021 · A	19	44	37→40	47→40	45	.209/.268/.279	.070	.271	5	6	24%	7%	50	-1.7	.224/.289/.327	.103	.275	7	5	20%	8%	72	-0.2	.253/.306/.321	.068	.288	2	0	12%	6%	73	-0.0
●Edgar Quero 2022 · A	19	44→54	43→50	48→40	45	.202/.300/.317	.115	.331	10	6	38%	10%	76	+0.1	.235/.325/.382	.147	.300	16	5	25%	10%	103	+1.9	.239/.326/.387	.148	.293	17	4	23%	9%	102	+1.4
✕Jon Del Campo 2007 · A	19	43	38→45	45→55	46	.207/.270/.286	.079	.275	6	6	26%	8%	53	-1.5	.206/.258/.287	.081	.298	4	5	30%	6%	48	-1.9	.267/.300/.379	.112	.337	12	18	24%	3%	90	+0.6
●Leo Rivas 2017 · A	19	45→54	36→40	54→65	47	.209/.293/.283	.073	.289	3	20	26%	8%	63	-0.8	.203/.293/.281	.078	.289	4	14	28%	10%	63	-0.9	.238/.354/.331	.093	.320	9	44	25%	14%	100	+1.2
✕Carlos Jimenez 2022 · A	19	39→41	42→50	53→55	44	.191/.270/.293	.102	.283	10	11	34%	8%	56	-1.3	.199/.283/.318	.119	.317	11	15	37%	9%	69	-0.4	.216/.296/.349	.133	.314	15	19	33%	9%	78	+0.1
✕Ricardo Ferreira 2015 · A	20	48	36→40	54→60	50	.215/.310/.286	.072	.325	3	19	31%	11%	72	-0.2	.247/.324/.323	.076	.343	3	23	26%	9%	85	+0.7	.263/.336/.338	.075	.360	3	29	25%	9%	91	+0.5
✕Abraham Almonte 2008 · A	19	42→52	43→55	50→55	50	.207/.281/.314	.108	.268	10	19	26%	9%	66	-0.6	.206/.254/.302	.096	.271	7	19	26%	6%	50	-1.7	.232/.330/.424	.192	.279	22	11	24%	12%	111	+1.5
●Bo Naylor 2019 · A	19	44→43	39→55	52→50	46	.211/.278/.300	.089	.298	6	9	30%	8%	60	-1.0	.194/.251/.313	.119	.273	11	7	31%	7%	53	-1.5	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)