Diego Villegas

CF DSL Giants Black

Age 23 L/L 5'10" / 170 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2378ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	ROKDSL Giants Or…	121	.295/.442/.411	2	2	68	—	.206/.325/.275
2025	21	ROKDSL Giants Or…	74	.231/.459/.269	0	0	57	—	.140/.338/.158
2026	22	ROKDSL Giants Bl…	197	.221/.388/.247	0	4	31	—	.150/.276/.168
2027PROJMLE	23	MLBSF	307	.208/.296/.280	2	4	67	-0.1
2028PROJ30% MLB	24	MLBSF	42	.209/.296/.288	0	1	71	-0.0
2029PROJ44% MLB	25	MLBSF	88	.212/.298/.298	1	1	75	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Z-Con%88

Whiff%87

Chase%84

BB%79

K%68

wOBA35

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsCaden Connor (age 23) · Nick Shaw (age 23) · Jeff Rowland (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 104 proj PA

wRC+†67

AVG/OBP/SLG.206 / .294 / .277

PA104

HR1

K%27

BB%10

ISO72

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 56 / POW 33

Toolsscout grade

CONTACT56

scouting grade only

POWER33

scouting grade only

EYE76

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1.0M	+$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. 2027 = full-season projection (no games played yet). 2028+ 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	26	—	—	—	—	—	—
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	55	—	—	—	—	—	—
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	61	—	—	—	—	—	—
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	68	—	—	—	—	—	—
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	57	—	—	—	—	—	—
2026	22	ROK	DSL Giants Black	—	197	154	34	4	0	0	39	35	3	4	2	221	388	247	635	26	283	18	20	313	31	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Giants Black	—	124	108	16	2	1	0	14	25	2	2	2	148	258	185	443	37	184	20	11	207	26	—	—	—	—	—	—
2022	18	ROK MLE	DSL Giants Black	—	34	27	4	1	0	0	6	9	1	0	1	148	324	185	509	37	215	26	18	250	55	—	—	—	—	—	—
2023	19	ROK MLE	DSL Giants Black	—	112	96	19	4	1	0	13	25	2	1	3	198	306	260	567	63	261	22	12	258	61	—	—	—	—	—	—
2024	20	ROK MLE	DSL Giants Orange	—	121	102	21	2	1	1	16	33	2	2	0	206	325	275	600	69	271	27	13	269	68	—	—	—	—	—	—
2025	21	ROK MLE	DSL Giants Orange	—	74	57	8	1	0	0	13	16	4	0	0	140	338	158	496	18	203	22	18	253	57	—	—	—	—	—	—
2026	22	ROK MLE	DSL Giants Black	—	197	167	25	3	0	0	26	43	3	4	2	150	276	168	443	18	191	22	13	214	31	—	—	—	—	—	—
2021	17	ROK MLE	DSL Giants Black	—	124	108	16	2	1	0	14	25	2	2	2	148	258	185	443	37	193	20	11	207	26	—	—	—	—	—	—
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	26	—	—	—	—	—	—
2022	18	ROK MLE	DSL Giants Black	—	34	27	4	1	0	0	6	9	1	0	1	148	324	185	509	37	222	26	18	250	55	—	—	—	—	—	—
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	55	—	—	—	—	—	—
2023	19	ROK MLE	DSL Giants Black	—	112	96	19	4	1	0	13	25	2	1	3	198	306	260	567	63	264	22	12	258	61	—	—	—	—	—	—
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	61	—	—	—	—	—	—
2024	20	ROK MLE	DSL Giants Orange	—	121	102	21	2	1	1	16	33	2	2	0	206	325	275	600	69	290	27	13	269	68	—	—	—	—	—	—
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	68	—	—	—	—	—	—
2025	21	ROK MLE	DSL Giants Orange	—	74	57	8	1	0	0	13	16	4	0	0	140	338	158	496	18	195	22	18	253	57	—	—	—	—	—	—
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	57	—	—	—	—	—	—
2026	22	ROK MLE	DSL Giants Black	—	197	167	25	3	0	0	26	43	3	4	2	150	276	168	443	18	200	22	13	214	31	—	—	—	—	—	—
2026	22	ROK RAW	DSL Giants Black	—	197	154	34	4	0	0	39	35	3	4	2	221	388	247	635	26	283	18	20	313	31	—	—	—	—	—	—
2021	17	ROK MLE	DSL Giants Black	—	124	107	16	2	1	0	14	25	2	2	2	150	258	187	445	37	184	20	11	207	26	—	—	—	—	—	—
2022	18	ROK MLE	DSL Giants Black	—	34	27	4	1	0	0	6	9	1	0	1	148	324	185	509	37	215	26	18	250	55	—	—	—	—	—	—
2023	19	ROK MLE	DSL Giants Black	—	112	96	19	4	1	0	13	25	2	1	3	198	306	260	567	63	261	22	12	258	61	—	—	—	—	—	—
2024	20	ROK MLE	DSL Giants Orange	—	121	102	21	2	1	1	16	33	2	2	0	206	325	275	600	69	271	27	13	269	68	—	—	—	—	—	—
2025	21	ROK MLE	DSL Giants Orange	—	74	57	8	1	0	0	13	16	4	0	0	140	338	158	496	18	203	22	18	253	57	—	—	—	—	—	—
2026	22	ROK MLE	DSL Giants Black	—	197	166	25	3	0	0	26	43	3	4	2	151	276	169	444	18	191	22	13	214	31	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	ROK MLE	DSL Giants Orange	—	121	102	21	2	1	1	16	33	2	2	0	206	325	275	600	69	271	27	13	269	68	—	—	—	—	—	—
2025	21	ROK MLE	DSL Giants Orange	—	74	57	8	1	0	0	13	16	4	0	0	140	338	158	496	18	203	22	18	253	57	—	—	—	—	—	—
2026	22	ROK MLE	DSL Giants Black	—	197	166	25	3	0	0	26	43	3	4	2	151	276	169	444	18	191	22	13	214	31	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	SF	0%	307	271	57	9	2	2	30	84	3	4	2	208	296	280	576	72	288	27	10	267	67	-12	+0	+0	+1	+7	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	SF	30%	138	121	26	4	1	1	14	37	2	2	1	212	299	294	593	82	289	27	10	274	71	-5	+0	+0	+0	+3	-0.1
2029	25	MLB MLE	SF	44%	199	176	38	6	1	3	19	53	2	3	1	215	301	305	606	90	290	27	10	279	75	-6	+0	+0	+1	+4	-0.1
2030	26	MLB MLE	SF	51%	255	225	49	8	1	4	25	67	3	4	2	217	303	313	616	96	290	26	10	282	77	-7	+0	+0	+1	+6	-0.1
2031	27	MLB MLE	SF	52%	291	258	56	9	2	4	28	77	3	5	2	218	303	315	618	98	289	26	10	283	78	-8	+0	+0	+1	+6	-0.0
2032	28	MLB MLE	SF	53%	311	275	61	10	2	5	30	82	3	5	2	217	302	315	617	98	289	26	10	282	77	-8	+0	-1	+1	+7	-0.1
2033	29	MLB MLE	SF	53%	315	279	60	10	2	4	30	84	3	4	2	215	299	309	609	94	288	27	10	279	75	-9	+0	-1	+1	+7	-0.3
2034	30	MLB MLE	SF	52%	312	276	59	9	2	4	30	84	3	4	3	212	296	302	598	90	286	27	10	275	72	-10	-0	-2	+1	+7	-0.5
2028	24	MLB CTX	SF	30%	42	38	7	1	0	0	4	11	0	1	0	209	296	288	584	79	285	26	10	270	71	-1	+0	+0	+0	+1	-0.0
2029	25	MLB CTX	SF	44%	88	78	17	3	1	1	9	23	1	1	1	212	298	298	596	86	286	26	10	275	75	-3	-0	+0	+0	+2	-0.1
2030	26	MLB CTX	SF	51%	129	114	25	4	1	2	13	34	1	2	1	214	300	306	605	92	286	26	10	278	77	-4	+0	+0	+0	+3	-0.0
2031	27	MLB CTX	SF	52%	152	134	29	5	1	2	15	40	2	3	1	214	300	308	607	94	285	26	10	279	78	-4	+0	+0	+1	+3	-0.0
2032	28	MLB CTX	SF	53%	166	147	31	5	1	2	16	44	2	3	1	214	299	308	607	94	285	27	10	278	77	-4	+0	-0	+1	+4	-0.0
2033	29	MLB CTX	SF	53%	165	146	31	5	1	2	16	44	2	2	1	212	296	302	598	91	284	27	10	275	75	-5	+0	-1	+1	+4	-0.2
2034	30	MLB CTX	SF	52%	163	144	31	5	1	2	16	44	2	2	1	209	293	295	588	86	282	27	10	271	72	-5	+0	-1	+1	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	905	801	171	28	6	11	89	240	10	14	6	213	300	305	605	91	288	27	10	276	67	-27	+0	-2	+3	+20	-0.6
/ 162G	—	A+C		—	650	575	122	20	4	8	64	172	7	10	4	212	299	303	601	90	286	26	10	276	67	-19	+0	-2	+2	+14	-0.4
Career	—	MLE		—	2587	2259	462	72	15	27	274	663	34	37	22	205	300	286	585	81	275	26	11	268	67	-58	+0	-4	+7	+42	-1.4
/ 162G	—	MLE		—	650	568	116	18	4	7	69	167	9	9	6	204	301	287	588	83	274	26	11	268	67	-19	+0	-1	+2	+14	-0.5

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 DSLDSL Giants Black · 197 PAwOBA .308 → .214 (−95)K% 17.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.77%	÷1.000	×1.220	—	—	21.68%
BB% (unintentional) /PA	19.80%	÷1.000	×0.700	—	×0.965	13.37%
HBP% /PA	1.52%	—	×0.700	—	×0.965	1.03%
Singles /BIP	25.21%	÷1.000	×0.680	×1.041	×0.965	17.23%
Doubles /BIP	3.36%	÷1.000	×0.600	×1.041	×0.965	2.03%
Triples /BIP	0.00%	÷1.000	×0.600	×1.041	×0.965	0.00%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×0.965	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 18.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.

Result: wOBA .308 → .214; ISO .026 → .017; BABIP .283 → .191. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Giants Orange · 74 PAwOBA .359 → .253 (−106)K% 17.6% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.57%	÷0.972	×1.220	—	—	22.05%
BB% (unintentional) /PA	24.32%	÷0.974	×0.700	—	×0.975	17.05%
HBP% /PA	5.41%	—	×0.700	—	×0.975	3.69%
Singles /BIP	25.64%	÷0.995	×0.680	—	×0.975	17.08%
Doubles /BIP	5.13%	÷0.933	×0.600	—	×0.975	3.22%
Triples /BIP	0.00%	÷0.900	×0.600	—	×0.975	0.00%
Home runs /BIP	0.00%	÷0.963	×0.470	—	×0.975	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 99, 2B 87, 3B 80, K 94, BB 95 — applied at half strength. Age: age 21 vs a level average of 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .359 → .253; ISO .038 → .026; BABIP .308 → .203. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL Giants Orange · 121 PAwOBA .383 → .269 (−114)K% 22.3% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.31%	÷1.001	×1.220	—	—	27.21%
BB% (unintentional) /PA	19.01%	÷0.982	×0.700	—	×0.985	13.34%
HBP% /PA	1.65%	—	×0.700	—	×0.985	1.14%
Singles /BIP	32.35%	÷0.972	×0.680	×1.050	×0.985	23.40%
Doubles /BIP	4.41%	÷0.982	×0.600	×1.050	×0.985	2.79%
Triples /BIP	1.47%	÷0.971	×0.600	×1.050	×0.985	0.94%
Home runs /BIP	2.94%	÷0.914	×0.470	—	×0.985	1.49%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 94, 2B 96, 3B 94, K 100, BB 96 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .383 → .269; ISO .116 → .068; BABIP .388 → .271. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 DSLDSL Giants Black · 112 PAwOBA .368 → .258 (−110)K% 18.8% → 22.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.020	×1.220	—	—	22.43%
BB% (unintentional) /PA	16.07%	÷1.002	×0.700	—	×0.995	11.17%
HBP% /PA	1.79%	—	×0.700	—	×0.995	1.24%
Singles /BIP	27.14%	÷0.970	×0.680	×1.040	×0.995	19.69%
Doubles /BIP	10.00%	÷1.028	×0.600	×1.040	×0.995	6.04%
Triples /BIP	1.43%	÷1.150	×0.600	×1.040	×0.995	0.77%
Home runs /BIP	0.00%	÷1.118	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 94, 2B 106, 3B 130, K 104, BB 100 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.

Result: wOBA .368 → .258; ISO .099 → .061; BABIP .380 → .261. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 DSLDSL Giants Black · 34 PAwOBA .360 → .250 (−110)K% 20.6% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.59%	÷1.000	×1.220	—	—	25.12%
BB% (unintentional) /PA	23.53%	÷0.986	×0.700	—	×1.008	16.83%
HBP% /PA	2.94%	—	×0.700	—	×1.008	2.07%
Singles /BIP	22.22%	÷1.011	×0.680	—	×1.008	15.06%
Doubles /BIP	11.11%	÷1.035	×0.600	—	×1.008	6.49%
Triples /BIP	0.00%	÷1.000	×0.600	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.074	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 102, 2B 107, 3B 100, K 100, BB 97 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .360 → .250; ISO .080 → .049; BABIP .333 → .215. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 DSLDSL Giants Black · 124 PAwOBA .293 → .207 (−86)K% 16.9% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.94%	÷1.015	×1.220	—	—	20.36%
BB% (unintentional) /PA	17.74%	÷1.127	×0.700	—	×1.022	11.27%
HBP% /PA	1.61%	—	×0.700	—	×1.022	1.15%
Singles /BIP	20.51%	÷0.998	×0.680	×1.050	×1.022	15.01%
Doubles /BIP	3.85%	÷0.989	×0.600	×1.050	×1.022	2.50%
Triples /BIP	1.28%	÷0.949	×0.600	×1.050	×1.022	0.87%
Home runs /BIP	0.00%	÷1.050	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 100, 2B 98, 3B 90, K 103, BB 125 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .293 → .207; ISO .051 → .036; BABIP .256 → .184. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Ruben Rivera'95-'03 * career totals — 7 seasons, 1,818 PA	2.7	1,818	64	50	206*	292*	376*	-1	+20	4.0	4.0
/162	664	23	18	-0.3	+7.2	1.5	pk7: 4
#3Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	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
#5Damon Buford'93-'01 * career totals — 8 seasons, 2,072 PA	3.1	2,072	54	56	230*	296*	371*	-1	-2	0.2	0.8
/162	664	17	18	-0.4	-0.5	0.1	pk7: 1
#6Rick Bosetti'76-'82 * career totals — 5 seasons, 1,656 PA	2.5	1,656	17	30	243*	286*	358*	+3	+16	0.6	0.6
/162	664	7	12	+1.4	+6.5	0.2	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.5	1,009	13	15	216	298	308	+4	+10	0.0	0.2
/162	664	9	10	+2.4	+6.6	0.0	pk7: 0

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)	23	51→56	28→33	45→50	76	206/294/277	71	288	1	1	27%	10%	67	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Caden Connor 2024 · A	23	43→53	37→40	49→50	45	201/273/278	77	300	4	6	32%	9%	58	-1.7	237/296/330	93	301	7	8	22%	7%	78	-0.3	240/299/330	91	298	8	11	21%	7%	78	-0.2
✕Nick Shaw 2012 · A	23	49→56	36→40	49→45	52	225/301/296	71	287	2	8	21%	9%	73	-0.6	223/295/288	65	285	3	7	21%	9%	69	-0.9	220/297/266	46	289	0	7	21%	9%	63	-0.7
✕Jeff Rowland 2011 · A	23	49	37→40	48→45	48	228/301/306	79	323	4	8	29%	9%	75	-0.5	214/284/311	97	334	8	8	35%	8%	70	-0.9	192/268/286	94	312	8	8	38%	8%	55	-1.0
✕Matthew Wood 2024 · A	23	45	37→45	46→45	54	214/299/282	68	265	5	5	20%	10%	70	-0.9	211/297/307	96	251	9	6	19%	10%	75	-0.5	205/299/321	116	233	13	6	17%	10%	78	-0.2
✕Sherman Johnson 2013 · A	23	45→49	39→45	52→50	53	213/301/306	94	282	6	9	25%	11%	76	-0.4	219/297/329	110	279	8	12	23%	9%	79	-0.2	210/291/324	114	260	9	14	22%	10%	73	-0.6
✕Antonio DeJesus 2009 · A	23	53	35→40	47→50	52	239/329/295	56	323	2	12	24%	10%	84	+0.1	217/308/298	81	287	4	11	23%	8%	77	-0.3	197/297/287	90	260	3	12	23%	8%	68	-0.4
✕Casey Turgeon 2016 · A	23	44	37→40	50→45	53	208/295/282	74	259	4	9	20%	9%	68	-1.0	206/291/299	93	263	7	7	23%	9%	70	-0.8	195/285/293	98	247	9	5	23%	10%	65	-0.6
✕Braiden Ward 2022 · A	23	48	37→40	47→70	46	223/310/298	75	312	4	10	28%	8%	78	-0.3	219/314/300	81	314	5	44	30%	6%	80	-0.1	233/320/331	98	311	5	64	24%	6%	85	+0.2
✕Josh Alley 2007 · A	23	45	37→40	45→50	58	210/300/281	71	253	5	10	18%	11%	70	-0.9	233/315/319	86	287	5	10	19%	11%	83	+0.1	254/338/347	93	307	4	10	17%	11%	96	+0.5
✕Michael DeJesus 2006 · A	23	43→51	36→30	50→45	50	198/283/264	67	286	3	11	30%	10%	59	-1.6	222/296/282	60	275	4	7	19%	9%	68	-1.0	226/303/283	56	275	4	5	17%	10%	68	-0.7
✕Whitney Robbins 2008 · A	23	44→52	37→40	51→30	52	208/296/282	74	272	4	6	23%	10%	69	-0.9	227/296/324	97	284	8	3	21%	8%	78	-0.3	238/304/343	105	293	9	0	21%	8%	83	+0.1
✕Nate Mondou 2018 · A	23	49→55	36→45	49→50	45	228/283/302	74	303	3	11	25%	7%	67	-1.1	221/285/301	80	283	5	8	22%	7%	68	-1.0	224/298/333	109	278	9	3	22%	8%	79	-0.2
✕Brad McElroy 2009 · A	23	44→54	38→40	54→55	49	209/283/293	84	262	5	10	21%	8%	65	-1.2	221/290/317	96	293	6	18	25%	8%	74	-0.6	229/296/327	98	299	6	23	24%	7%	75	-0.3
✕Bryce Windham 2021 · A	24	48	36→40	49→50	53	224/301/300	75	289	3	7	22%	10%	74	-0.6	217/288/302	85	269	6	6	20%	9%	70	-0.9	215/288/293	78	265	5	6	20%	9%	66	-0.5
✕John Schultz 2012 · A	23	46	36→40	49→45	48	213/286/281	69	291	2	7	26%	8%	63	-1.3	231/293/310	79	302	4	6	23%	8%	72	-0.7	259/318/333	74	324	5	5	20%	8%	84	+0.1
✕Justin Jacobs 2018 · A	22	49	38→40	46→50	48	229/301/308	79	307	5	9	25%	8%	75	-0.5	205/269/286	81	321	6	5	35%	7%	59	-1.7	177/241/247	70	291	6	1	39%	6%	37	-1.6
✕Clark Elliott 2024 · A	23	42→40	36→45	51→50	49	196/281/257	61	262	4	12	25%	9%	57	-1.8	207/307/309	102	286	9	13	28%	10%	80	-0.2	198/314/306	108	278	10	16	29%	12%	80	-0.1
✕Chase Calabuig 2019 · A	23	46→56	35→40	48→45	45	215/274/283	68	286	2	7	24%	7%	59	-1.6	217/290/288	71	293	5	6	25%	9%	67	-1.1	237/299/340	103	277	9	3	17%	7%	78	-0.1
✕L.T. Tolbert 2019 · A	23	45→53	37→40	45→40	48	211/267/285	75	256	4	6	19%	7%	57	-1.8	237/283/319	82	290	6	5	19%	5%	70	-0.8	253/295/329	76	303	6	3	18%	4%	76	-0.3
✕Jacob Gonzalez 2024 · A	22	44→45	38→45	46→50	51	208/290/285	76	270	6	6	24%	9%	67	-1.1	218/275/329	111	256	11	12	19%	6%	71	-0.8	220/279/347	127	253	14	13	19%	6%	75	-0.4

Diego Villegas

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps