Diego Villegas — OGILVIE

Diego VillegasCF DSL Giants Black

Age 22 L/L 5'10" / 170 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION197 act + 18 ros · stats below = ROS only

showingROS

wRC+†65

AVG/OBP/SLG.125 / .222 / .125

PA18

HR0

K%28

BB%11

BABIP264

ISO85

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · ContractCON 44 / POW 36

Toolsscout grade

CONTACT44

scouting grade only

POWER36

scouting grade only

EYE70

scouting grade only

SPEED50

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	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.3M	+$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)
2021	17	ROK	DSL Giants Black	—	124	99	20	3	1	0	23	21	2	2	2	202	363	253	615	51	256	17	19	302	91	-1	-0	—	—	+3	0.1
2022	18	ROK	DSL Giants Black	—	34	25	6	2	0	0	8	7	1	0	1	240	441	320	761	80	333	21	24	368	135	+1	-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	99	380	19	16	373	139	+5	-1	—	—	+2	0.7
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	149	+7	+0	—	—	+3	1.0
2025	21	ROK	DSL Giants Orange	—	74	52	12	2	0	0	18	13	4	0	0	231	459	269	729	38	308	18	24	366	134	+3	+0	—	—	+2	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Giants Black	—	124	110	17	2	1	0	12	30	2	2	2	155	250	191	441	36	217	24	10	213	30	-10	-0	—	—	+3	-0.8
2022	18	ROK MLE	DSL Giants Black	—	34	28	4	1	0	0	5	10	1	0	1	143	294	179	473	36	257	29	15	254	58	-2	-0	—	—	+1	-0.1
2023	19	ROK MLE	DSL Giants Black	—	112	98	23	5	1	0	11	30	2	1	3	235	324	306	630	71	316	27	10	277	74	-4	-1	—	—	+2	-0.2
2024	20	ROK MLE	DSL Giants Orange	—	121	103	24	2	1	2	15	39	2	2	0	233	342	330	672	97	335	32	12	292	84	-2	+0	—	—	+3	0.1
2025	21	ROK MLE	DSL Giants Orange	—	74	59	11	2	0	0	11	19	4	0	0	186	351	220	572	34	251	26	15	263	64	-3	+0	—	—	+2	-0.2
2021	17	ROK MLE	DSL Giants Black	—	124	110	17	2	1	0	12	30	2	2	2	155	250	191	441	36	212	24	10	213	30	—	—	—	—	—	—
2021	17	ROK RAW	DSL Giants Black	—	124	99	20	3	1	0	23	21	2	2	2	202	363	253	615	51	256	17	19	302	30	—	—	—	—	—	—
2022	18	ROK MLE	DSL Giants Black	—	34	28	4	1	0	0	5	10	1	0	1	143	294	179	473	36	222	29	15	254	58	—	—	—	—	—	—
2022	18	ROK RAW	DSL Giants Black	—	34	25	6	2	0	0	8	7	1	0	1	240	441	320	761	80	333	21	24	368	58	—	—	—	—	—	—
2023	19	ROK MLE	DSL Giants Black	—	112	98	23	5	1	0	11	30	2	1	3	235	324	306	630	71	333	27	10	277	74	—	—	—	—	—	—
2023	19	ROK RAW	DSL Giants Black	—	112	91	27	7	1	0	18	21	2	1	3	297	423	396	819	99	380	19	16	373	74	—	—	—	—	—	—
2024	20	ROK MLE	DSL Giants Orange	—	121	103	24	2	1	2	15	39	2	2	0	233	342	330	672	97	349	32	12	292	84	—	—	—	—	—	—
2024	20	ROK RAW	DSL Giants Orange	—	121	95	28	3	1	2	23	27	2	2	0	295	442	411	852	116	388	22	19	389	84	—	—	—	—	—	—
2025	21	ROK MLE	DSL Giants Orange	—	74	59	11	2	0	0	11	19	4	0	0	186	351	220	572	34	275	26	15	263	64	—	—	—	—	—	—
2025	21	ROK RAW	DSL Giants Orange	—	74	52	12	2	0	0	18	13	4	0	0	231	459	269	729	38	308	18	24	366	64	—	—	—	—	—	—
2021	17	ROK MLE	DSL Giants Black	—	124	109	17	2	1	0	12	30	2	2	2	156	250	193	443	37	217	24	10	213	30	—	—	—	—	—	—
2022	18	ROK MLE	DSL Giants Black	—	34	28	4	1	0	0	5	10	1	0	1	143	294	179	473	36	257	29	15	254	58	—	—	—	—	—	—
2023	19	ROK MLE	DSL Giants Black	—	112	98	23	5	1	0	11	30	2	1	3	235	324	306	630	71	316	27	10	277	74	—	—	—	—	—	—
2024	20	ROK MLE	DSL Giants Orange	—	121	103	24	2	1	2	15	39	2	2	0	233	342	330	672	97	335	32	12	292	84	—	—	—	—	—	—
2025	21	ROK MLE	DSL Giants Orange	—	74	59	11	2	0	0	11	19	4	0	0	186	351	220	572	34	251	26	15	263	64	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	DSL Giants Black	—	112	98	23	5	1	0	11	30	2	1	3	235	324	306	630	71	316	27	10	277	74	—	—	—	—	—	—
2024	20	ROK MLE	DSL Giants Orange	—	121	103	24	2	1	2	15	39	2	2	0	233	342	330	672	97	335	32	12	292	84	—	—	—	—	—	—
2025	21	ROK MLE	DSL Giants Orange	—	74	59	11	2	0	0	11	19	4	0	0	186	351	220	572	34	251	26	15	263	64	—	—	—	—	—	—
YTD	22	ROK MLE	SF	—	197	169	29	3	0	0	24	50	3	4	2	172	286	189	475	18	242	25	12	229	41	-14	+0	+0	+1	+4	-0.9
▸ 2026 season
YTD	22	ROK RAW	SF	—	197	154	34	4	0	0	39	35	3	4	2	221	388	247	635	26	283	18	20	313	41	—	—	—	—	—	—
ROS	22	ROK MLE	SF	0%	18	16	2	0	0	0	2	5	0	0	0	125	222	125	347		269	28	11	264	65	-1	+0	+0	+0	+0	-0.0
TOT	22	ROK MLE	SF	—	215	185	31	3	0	0	26	55	3	4	2	168	280	184	464	16	237	26	12	232	43	-15	+0	+0	+1	+5	-0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	SF	34%	217	188	39	6	1	3	24	55	3	3	1	207	307	298	605	90	274	25	11	276	73	-7	+0	+0	+1	+5	-0.1
2028	24	MLB MLE	SF	46%	320	279	59	10	1	5	34	80	4	5	2	211	306	308	614	97	276	25	11	283	78	-8	+0	+0	+1	+7	-0.0
2029	25	MLB MLE	SF	52%	380	332	72	12	2	6	41	94	4	7	2	217	310	319	630	102	277	25	11	288	81	-9	+1	+0	+1	+8	0.2
2030	26	MLB MLE	SF	54%	418	365	79	13	2	7	45	103	5	7	3	216	311	321	631	104	277	25	11	290	82	-9	+0	+0	+1	+9	0.2
2031	27	MLB MLE	SF	54%	434	379	83	14	2	8	47	107	5	8	3	219	313	330	643	111	277	25	11	290	82	-9	+0	+0	+2	+9	0.2
2032	28	MLB MLE	SF	54%	442	386	84	14	2	8	48	110	5	8	3	218	312	326	638	109	277	25	11	289	82	-10	+0	-1	+2	+10	0.1
2033	29	MLB MLE	SF	53%	438	382	81	13	2	7	48	109	5	8	3	212	308	312	620	99	276	25	11	287	81	-10	+0	-1	+2	+9	-0.0
2027	23	MLB CTX	SF	34%	75	66	13	2	0	1	8	19	1	1	0	197	293	273	566	76	269	25	11	263	73	-2	+0	+0	+0	+2	-0.0
2028	24	MLB CTX	SF	46%	148	129	27	4	1	2	16	37	2	2	1	209	306	302	608	93	271	25	11	270	78	-4	+0	+0	+1	+3	-0.0
2029	25	MLB CTX	SF	52%	196	171	36	6	1	3	21	48	2	3	1	211	304	310	614	99	272	24	11	274	81	-4	+0	+0	+1	+4	0.1
2030	26	MLB CTX	SF	54%	227	198	42	7	1	4	24	56	3	4	1	212	307	318	625	106	272	25	11	276	82	-5	+0	+0	+1	+5	0.1
2031	27	MLB CTX	SF	54%	235	205	43	7	1	4	25	58	3	4	2	210	305	312	617	102	272	25	11	276	82	-5	+0	+0	+1	+5	0.1
2032	28	MLB CTX	SF	54%	240	209	44	7	1	4	26	60	3	4	2	211	307	311	618	100	272	25	11	275	82	-5	+0	-0	+1	+5	0.1
2033	29	MLB CTX	SF	53%	233	202	43	7	1	4	26	58	3	4	1	213	312	317	629	104	271	25	11	273	81	-5	+0	-1	+1	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1354	1180	248	40	6	22	146	336	17	22	8	210	306	310	616	100	273	25	11	273	78	-31	+1	-1	+5	+29	0.3
/ 162G	—	A+C		—	650	566	119	19	3	11	70	161	8	11	4	210	305	313	618	102	272	25	11	273	78	-15	+1	-1	+2	+14	0.2
Career	—	MLE		—	3132	2725	578	94	15	46	343	791	42	51	23	212	310	308	618	96	280	25	11	283	78	-62	+2	-2	+10	+58	0.5
/ 162G	—	MLE		—	650	566	121	20	3	10	71	164	9	11	5	214	311	313	624	99	281	25	11	283	78	-15	+1	-1	+2	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jack Hannahanlast yr '14 career totals — 7 seasons, 1,867 PA	2.8	1,867	29	6	232	315	348	+6	+29	6.2	6.2
/162	664	10	2	+2.0	+10.4	2.2	pk7: 6
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#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
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.2	1,457	24	25	215	307	316	+5	+10	1.3	1.3
/162	664	11	12	+2.4	+4.6	0.6	pk7: 1
#6Nick 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

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	39→44	31→36	45→50	70	196/296/260	64	269	1	2	26%	11%	65	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Miguel Arrendell 2010 · A	22	44	37→30	48→50	56	206/306/277	71	269	4	11	23%	12%	72	-0.7	212/277/294	82	278	6	9	24%	8%	63	-1.3	209/267/286	77	266	6	10	23%	7%	55	-0.8
✕Javi Vaz 2023 · A	22	46→50	40	47→55	51	219/289/316	97	268	7	10	20%	8%	73	-0.6	227/300/321	94	256	7	18	14%	9%	78	-0.3	225/301/310	85	251	6	20	13%	9%	73	-0.5
✕Anthony Seigler 2021 · A	22	42→39	37→45	49→55	47	200/278/275	74	283	5	6	29%	9%	60	-1.6	192/289/299	107	272	9	9	30%	11%	70	-0.8	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/268/264	67	279	4	12	29%	8%	53	-2.1	210/306/281	71	297	4	26	28%	9%	73	-0.6	226/338/275	49	304	3	35	23%	10%	81	-0.0
✕Jace Jung 2023 · A	22	44→42	39→50	50→40	50	208/292/300	92	296	6	7	29%	10%	71	-0.8	215/300/370	155	288	18	4	30%	10%	90	+0.6	208/298/364	156	272	18	3	29%	11%	86	+0.3
✕Justin Jacobs 2018 · A	22	50	38→40	46→50	48	232/305/312	80	312	5	9	25%	8%	78	-0.3	207/271/288	81	324	6	5	35%	7%	60	-1.6	179/244/250	71	294	6	1	39%	7%	38	-1.5
✕Josh Alley 2007 · A	23	45	37→40	45→50	58	211/301/282	72	255	5	10	18%	11%	71	-0.8	235/317/322	87	290	5	10	19%	11%	84	+0.2	258/342/352	94	313	4	10	17%	11%	98	+0.6
✕Casey Turgeon 2016 · A	23	45	37→40	50→45	53	210/297/285	75	261	4	9	20%	10%	70	-0.9	208/293/302	94	266	7	7	23%	10%	72	-0.7	199/289/298	99	252	9	5	23%	10%	68	-0.5
✕Greg Cullen 2019 · A	22	47→44	38→40	46→40	49	221/285/307	86	269	5	3	19%	8%	69	-0.9	219/305/319	100	284	8	3	24%	9%	80	-0.1	230/333/323	93	312	9	4	26%	12%	90	+0.2
✕Luis González 2018 · A	22	42→52	39→45	45→50	49	201/275/292	90	266	5	5	25%	9%	62	-1.4	226/279/340	114	290	10	9	24%	6%	74	-0.5	231/309/344	113	297	12	22	25%	9%	84	+0.1
✕Andrew Kachel 2023 · A	22	47	37→45	50	49	223/285/296	73	275	4	8	20%	8%	66	-1.1	208/279/301	93	326	7	11	35%	8%	66	-1.1	197/273/286	90	312	8	12	36%	8%	58	-0.9
✕Jose Constanza 2006 · A	22	47→57	37→40	48→60	51	222/294/293	71	286	5	9	23%	9%	70	-0.9	254/308/324	70	327	3	24	21%	7%	81	-0.1	286/332/342	56	333	1	37	14%	6%	90	+0.5
✕Jake Thomas 2016 · A	23	44	39→30	49→50	47	210/289/293	83	281	7	8	26%	8%	68	-1.0	206/288/273	67	306	2	8	30%	10%	63	-1.3	200/292/257	57	304	1	8	30%	11%	59	-0.8
✕Michael Swinson 2012 · A	22	44	38→40	46→50	50	210/278/291	82	266	5	9	22%	8%	63	-1.4	197/256/269	72	274	4	11	27%	7%	49	-2.4	165/228/222	57	263	0	17	34%	7%	26	-1.1
✕Jamodrick McGruder 2014 · A	22	40→44	37→40	52→50	47	193/261/259	66	255	5	10	25%	8%	50	-2.3	212/286/308	96	275	7	10	23%	9%	70	-0.8	208/289/307	99	266	6	10	22%	10%	68	-0.7
✕Miles Mastrobuoni 2018 · A	22	46→56	37→45	49→60	48	220/278/292	73	277	5	13	22%	8%	63	-1.4	239/298/310	71	316	4	12	24%	8%	74	-0.5	252/316/360	107	324	8	21	23%	8%	89	+0.4
✕Jeisson Rosario 2021 · A	21	45→49	37→45	48→50	50	208/294/277	69	299	4	10	29%	10%	66	-1.1	208/289/302	94	299	8	12	30%	10%	70	-0.8	202/293/306	104	288	10	12	30%	11%	70	-0.5
✕Josh Johnson 2008 · A	22	46→49	36→45	45→50	54	217/298/285	69	278	3	9	22%	10%	70	-0.9	228/308/305	77	295	4	10	22%	10%	78	-0.3	244/312/343	100	289	8	16	17%	9%	85	+0.1
✕John Schultz 2012 · A	23	47	36→40	50→45	48	216/290/285	69	295	2	7	26%	9%	66	-1.1	233/295/312	79	305	4	6	23%	8%	74	-0.6	261/321/336	74	327	5	5	20%	8%	85	+0.1
✕Vimael Machín 2016 · A	22	40→50	37→45	49→50	47	193/254/262	69	248	4	7	23%	8%	47	-2.5	224/285/313	89	284	8	6	22%	8%	70	-0.8	241/308/341	100	286	7	3	17%	8%	85	+0.2

Career Stats + Projections

Career Comps

Career Path Comps