Diego Villegas — OGILVIE

Diego VillegasCF DSL Giants Orange

Age 22 L/L 5'10" / 170 lbs ROK BB -3% Svc 0.0 · Ctrl thru 2037 peak 1.2 · 2031

wRC+†67

AVG/OBP/SLG.211 / .283 / .313

PA70

HR1

K%28

BB%8

MLB%0%

trajectory · 10 yrs

1.2peak

2031

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	+1.1	$11M	+$10M
2033	Ext / FA-deal	$1.0M	+0.9	$4M	+$3M
2034	Ext / FA-deal	$1.0M	+0.7	$4M	+$3M
2035	Ext / FA-deal	$1M	+0.5	$3M	+$2M
2036	Ext / FA-deal	$0.7M	+0.2	$1M	+$0.4M
2037	Ext / FA-deal	$0.6M	—	—	—
Totals		$5M		$22M	+$16M

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
2021	17	ROK	DSL Giants Black	124	113	19	3	1	0	9	29	2	2	2	.168	.242	.212	.454	.044	.226	23	7	.207	17	-12	-0	+0	+0	+4	-0.8
2022	18	ROK	DSL Giants Black	34	28	4	1	0	0	5	10	1	0	1	.143	.294	.179	.473	.036	.222	29	15	.253	52	-2	-0	+0	+0	+1	-0.1
2023	19	ROK	DSL Giants Black	112	98	23	5	1	0	11	29	2	1	3	.235	.324	.306	.630	.071	.329	26	10	.279	72	-4	-1	+0	+0	+3	-0.1
2024	20	ROK	DSL Giants Orange	121	103	24	2	1	2	15	39	2	2	0	.233	.342	.330	.672	.097	.349	32	12	.300	88	-2	+0	+0	+0	+3	0.3
2025	21	ROK	DSL Giants Orange	74	58	10	2	0	0	12	20	4	0	0	.172	.351	.207	.558	.034	.263	27	16	.265	61	-3	+0	+0	+0	+2	-0.1
▸ 2026 Season
2026	22	MLB	SF	70	63	12	2	0	1	6	20	1	1	0	.190	.271	.270	.541	.079	.288	29	9	.273	67	-3	+0	+0	+0	+2	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	SF	145	130	29	5	1	3	12	39	2	2	1	.223	.299	.346	.645	.123	.290	27	8	.288	79	-3	+0	+0	+1	+4	0.1
2028	24	MLB 26%	SF	266	238	54	10	2	6	23	70	3	4	1	.227	.303	.361	.664	.134	.291	26	9	.298	86	-4	+0	+0	+1	+8	0.5
2029	25	MLB 43%	SF	343	306	71	13	2	9	30	89	4	5	1	.232	.309	.376	.685	.144	.292	26	9	.305	91	-3	+1	+0	+1	+10	0.8
2030	26	MLB 58%	SF	394	350	82	15	2	11	36	102	5	6	1	.234	.315	.383	.697	.149	.293	26	9	.308	94	-3	+1	+0	+1	+11	1.1
2031	27	MLB 76%	SF	419	373	85	15	2	11	38	109	5	6	1	.228	.308	.367	.675	.139	.293	26	9	.308	94	-3	+1	+0	+1	+12	1.2
2032	28	MLB 84%	SF	431	383	88	16	2	12	40	113	5	6	1	.230	.311	.376	.687	.146	.293	26	9	.307	93	-3	+1	-1	+2	+12	1.1
2033	29	MLB 90%	SF	432	384	87	16	2	11	40	115	5	5	1	.227	.308	.365	.672	.138	.292	27	9	.305	92	-4	+1	-1	+2	+12	0.9
2034	30	MLB	SF	429	381	85	15	2	11	40	115	5	4	0	.223	.305	.360	.665	.136	.290	27	9	.302	89	-5	+1	-2	+2	+12	0.7
2035	31	MLB	SF	419	372	83	15	2	10	39	114	5	2	0	.223	.305	.355	.660	.132	.289	27	9	.298	86	-6	+0	-3	+1	+12	0.5
2036	32	MLB	SF	403	359	79	14	2	10	37	112	4	0	0	.220	.300	.354	.654	.134	.287	28	9	.293	83	-8	+0	-4	+1	+11	0.2
2037	33	MLB	SF	375	333	72	13	2	8	35	107	4	0	0	.216	.298	.339	.638	.123	.286	29	9	.288	79	-9	+0	-4	+1	+11	-0.1
2038	34	MLB	SF	331	295	63	11	2	7	30	97	3	0	0	.214	.293	.336	.628	.122	.284	29	9	.282	74	-10	+0	-5	+1	+9	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			4922	4367	970	173	26	112	458	1329	62	46	13	.222	.305	.351	.655	.128	.291	27	9	.296	84	-87	+4	-20	+18	+139	5.6
/ 162G	—			650	577	128	23	3	15	60	176	8	6	2	.222	.303	.350	.653	.128	.290	27	9	.296	84	-11	+0	-3	+2	+18	0.7

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
2021	17	ROK	DSL Giants Black	124	99	20	3	1	0	23	21	2	2	2	.202	.363	.253	.615	.051	.256	17	19	.302	89	-1	-0	—	—	+4	0.2
2022	18	ROK	DSL Giants Black	34	25	6	2	0	0	8	7	1	0	1	.240	.441	.320	.761	.080	.333	21	24	.368	140	+2	-0	—	—	+1	0.2
2023	19	ROK	DSL Giants Black	112	91	27	7	1	0	18	21	2	1	3	.297	.423	.396	.819	.099	.380	19	16	.373	144	+6	-1	—	—	+3	0.8
2024	20	ROK	DSL Giants Orange	121	95	28	3	1	2	23	27	2	2	0	.295	.442	.411	.852	.116	.388	22	19	.389	156	+8	+0	—	—	+3	1.2
2025	21	ROK	DSL Giants Orange	74	52	12	2	0	0	18	13	4	0	0	.231	.459	.269	.729	.038	.308	18	24	.366	139	+3	+0	—	—	+2	0.5

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
Diego Villegas (OGILVIE)	22	—	—	—	—	.211/.283/.313	.102	.288	1	1	28%	8%	67	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Parker Meadows 2022 · A	22	37→47	41→55	44→55	41	.185/.244/.280	.095	.257	9	9	31%	7%	41	-2.3	.218/.280/.374	.156	.279	17	16	27%	7%	82	+0.5	.225/.292/.400	.175	.278	20	21	26%	8%	91	+1.1
✕Daniel Schneemann 2019 · A	22	39→49	40→50	50	43	.189/.254/.283	.094	.277	7	6	33%	8%	46	-2.0	.211/.272/.298	.087	.290	7	8	28%	7%	57	-1.2	.226/.305/.377	.151	.297	15	13	28%	10%	89	+0.7
✕Chris Meyers 2022 · A	23	41→46	42→50	51→40	45	.201/.269/.304	.103	.264	9	11	26%	7%	59	-1.1	.222/.280/.362	.140	.293	16	7	29%	6%	79	+0.3	.226/.286/.378	.152	.294	19	3	29%	6%	82	+0.3
✕Ashton McGee 2021 · A	22	41	39→50	50→40	41	.194/.258/.283	.089	.288	5	5	33%	7%	48	-1.9	.206/.290/.322	.116	.364	11	3	42%	10%	72	-0.2	.191/.284/.307	.117	.346	12	2	44%	11%	63	-0.4
✕Adrian Del Castillo 2023 · A	23	36→45	43→55	52→40	41	.184/.246/.294	.110	.257	10	7	32%	7%	46	-2.0	.210/.280/.351	.141	.289	15	4	31%	8%	76	+0.0	.218/.292/.382	.164	.293	19	1	31%	9%	86	+0.5
✕Akil Baddoo 2021 · A	22	41→51	43→55	55	44	.198/.268/.314	.116	.295	9	14	34%	8%	60	-1.0	.234/.308/.374	.140	.313	14	21	27%	10%	92	+1.2	.232/.314/.375	.143	.300	15	24	26%	11%	91	+0.8
●Ryan Schimpf 2011 · A	23	39	43→60	52→45	39	.192/.257/.314	.121	.284	9	10	34%	6%	56	-1.3	.198/.273/.355	.157	.273	17	7	32%	8%	74	-0.1	.201/.284/.419	.218	.235	28	2	28%	9%	91	+0.9
✕Addison Barger 2021 · A	21	39→46	39→55	49→45	44	.191/.262/.281	.090	.258	6	5	27%	7%	50	-1.8	.216/.278/.376	.160	.319	19	7	36%	7%	81	+0.4	.220/.291/.385	.165	.272	18	6	25%	8%	84	+0.5
✕Carlos Guzman 2008 · A	22	40→48	43→50	53→50	44	.197/.278/.309	.112	.288	11	9	33%	8%	64	-0.8	.221/.269/.333	.112	.308	12	9	31%	6%	65	-0.7	.235/.287/.332	.097	.308	10	3	26%	6%	70	-0.2
✕Travis Blankenhorn 2019 · A	22	40→43	45→55	51→50	38	.201/.261/.328	.127	.288	11	7	33%	6%	61	-1.0	.215/.262/.357	.142	.295	16	9	32%	5%	69	-0.4	.211/.283/.380	.168	.276	21	6	31%	8%	81	+0.3
✕Enmanuel Valdez 2021 · A	22	39→46	42→60	46→45	40	.197/.250/.302	.104	.268	10	9	30%	6%	50	-1.8	.217/.274/.390	.173	.270	22	8	28%	7%	83	+0.6	.224/.290/.404	.180	.268	24	8	26%	8%	90	+0.8
✕Christopher Familia 2022 · A	22	43	38→55	48→45	43	.202/.271/.290	.088	.281	5	10	28%	7%	56	-1.3	.214/.281/.369	.155	.272	19	5	28%	7%	81	+0.4	.207/.271/.391	.184	.253	26	2	30%	6%	78	+0.1
✕Tirso Ornelas 2022 · A	22	40→50	38→50	48→45	44	.191/.257/.275	.084	.274	5	5	31%	8%	46	-2.0	.236/.295/.354	.118	.303	11	6	25%	7%	82	+0.5	.245/.303/.373	.128	.302	14	7	23%	7%	87	+0.8
✕Mike Papi 2015 · A	22	39→47	41→45	50→45	50	.193/.270/.290	.097	.251	9	7	26%	9%	56	-1.3	.198/.278/.306	.108	.280	9	6	30%	9%	63	-0.8	.211/.294/.337	.126	.280	14	4	28%	10%	76	+0.1
●Nick Dunn 2019 · A	22	43→53	39→45	47→40	40	.208/.263/.294	.086	.271	7	8	26%	5%	53	-1.5	.205/.250/.287	.082	.254	6	5	21%	5%	45	-2.1	.263/.330/.370	.108	.289	9	3	12%	8%	97	+1.2
✕Kyle Kubitza 2013 · A	23	40→50	41→50	49→50	43	.194/.262/.301	.107	.286	7	11	33%	8%	54	-1.4	.214/.288/.342	.128	.327	9	10	34%	9%	76	+0.0	.219/.294/.350	.131	.334	9	10	34%	9%	79	+0.3
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	.188/.259/.305	.117	.281	12	9	36%	7%	55	-1.4	.194/.278/.291	.097	.346	7	8	42%	9%	59	-1.1	.146/.273/.221	.075	.359	3	4	52%	12%	39	-0.5
✕Brian O'Grady 2015 · A	23	40→39	43→60	53→50	47	.198/.263/.312	.114	.259	9	8	26%	8%	57	-1.2	.192/.274/.305	.113	.267	10	14	30%	10%	61	-1.0	.210/.274/.401	.191	.276	23	15	32%	7%	84	+0.5
✕Mike Daniel 2007 · A	22	39→49	42→45	48→50	42	.193/.256/.293	.100	.274	10	11	32%	7%	50	-1.8	.232/.283/.346	.114	.314	11	14	28%	6%	74	-0.1	.239/.288/.351	.112	.317	11	15	27%	6%	75	+0.0
●Jack Suwinski 2019 · A	21	40→41	41→60	47→50	41	.198/.255/.292	.094	.272	8	6	29%	6%	49	-1.8	.193/.259/.320	.127	.287	14	6	35%	8%	59	-1.1	.210/.307/.421	.211	.281	28	10	34%	11%	102	+1.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)