Diego Gonzalez

C DSL Cubs Blue

Age 20 R/R 5'10" / 170 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1072ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Cubs Blue	93	.208/.330/.273	1	4	15	—	.138/.242/.188
2025	18	ROKDSL Cubs Red	92	.238/.461/.286	0	3	63	—	.162/.360/.191
2026	19	ROKDSL Cubs Blue	98	.240/.418/.360	2	0	51	—	.150/.306/.212
2027PROJMLE	20	MLBCHC	208	.210/.294/.285	2	2	68	0.0
2028PROJ34% MLB	21	MLBCHC	37	.217/.300/.305	0	0	73	0.0
2029PROJ48% MLB	22	MLBCHC	95	.221/.304/.319	1	1	78	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

Chase%94

Z-Con%85

K%80

Whiff%74

wOBA66

BB%64

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

CompsLuis Torrens (age 20) · Eddys Leonard (age 20) · Carlos Cauro (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 53 proj PA

wRC+†68

AVG/OBP/SLG.208 / .291 / .282

PA53

HR0

K%26

BB%8

ISO75

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$22M ctrl surplus

Tools · Contract

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	+0.6	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2035	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2036	Arb-1	$2M	+0.4	$0.8M	+$0.1M
2037	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2038	Arb-3	$0.6M	—	—	—
Totals		$5M		$5M	+$3M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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 Cubs Blue	—	93	77	16	2	0	1	12	20	2	4	0	208	330	273	602	65	259	22	13	282	15	—	—	—	—	—	—
2025	18	ROK	DSL Cubs Red	—	92	63	15	3	0	0	15	19	11	3	0	238	461	286	746	48	319	21	16	362	63	—	—	—	—	—	—
2026	19	ROK	DSL Cubs Blue	—	98	75	18	3	0	2	17	15	6	0	1	240	418	360	778	120	276	15	17	368	51	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Cubs Blue	—	93	80	11	1	0	1	9	25	2	4	0	138	242	188	429	50	168	27	10	191	15	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cubs Red	—	92	68	11	2	0	0	10	24	11	3	0	162	360	191	551	29	213	26	11	262	63	—	—	—	—	—	—
2026	19	ROK MLE	DSL Cubs Blue	—	98	80	12	2	0	1	12	18	6	0	1	150	306	212	519	62	181	18	12	244	51	—	—	—	—	—	—
2024	17	ROK MLE	DSL Cubs Blue	—	93	80	11	1	0	1	9	25	2	4	0	138	242	188	429	50	179	27	10	191	15	—	—	—	—	—	—
2024	17	ROK RAW	DSL Cubs Blue	—	93	77	16	2	0	1	12	20	2	4	0	208	330	273	602	65	259	22	13	282	15	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cubs Red	—	92	68	11	2	0	0	10	24	11	3	0	162	360	191	551	29	234	26	11	262	63	—	—	—	—	—	—
2025	18	ROK RAW	DSL Cubs Red	—	92	63	15	3	0	0	15	19	11	3	0	238	461	286	746	48	319	21	16	362	63	—	—	—	—	—	—
2026	19	ROK MLE	DSL Cubs Blue	—	98	80	12	2	0	1	12	18	6	0	1	150	306	212	519	62	180	18	12	244	51	—	—	—	—	—	—
2026	19	ROK RAW	DSL Cubs Blue	—	98	75	18	3	0	2	17	15	6	0	1	240	418	360	778	120	276	15	17	368	51	—	—	—	—	—	—
2024	17	ROK MLE	DSL Cubs Blue	—	93	82	11	1	0	1	9	25	2	4	0	134	242	183	425	49	168	27	10	191	15	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cubs Red	—	92	71	11	2	0	0	10	24	11	3	0	155	360	183	543	28	213	26	11	262	63	—	—	—	—	—	—
2026	19	ROK MLE	DSL Cubs Blue	—	98	80	12	2	0	1	12	18	6	0	1	150	306	212	519	62	181	18	12	244	51	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Cubs Blue	—	93	82	11	1	0	1	9	25	2	4	0	134	242	183	425	49	168	27	10	191	15	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cubs Red	—	92	71	11	2	0	0	10	24	11	3	0	155	360	183	543	28	213	26	11	262	63	—	—	—	—	—	—
2026	19	ROK MLE	DSL Cubs Blue	—	98	80	12	2	0	1	12	18	6	0	1	150	306	212	519	62	181	18	12	244	51	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	CHC	0%	208	184	39	6	1	2	17	55	5	2	1	210	294	285	579	75	285	26	8	268	68	-8	+0	+0	+4	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	CHC	34%	107	95	20	3	1	1	9	28	2	1	0	215	299	302	600	87	287	26	8	276	73	-3	+0	+0	+2	+2	0.1
2029	22	MLB MLE	CHC	48%	196	174	38	6	1	3	16	50	4	2	1	219	302	316	618	97	288	26	8	283	78	-5	+0	+0	+4	+4	0.3
2030	23	MLB MLE	CHC	54%	291	259	58	9	2	5	24	74	6	2	1	222	305	328	633	105	289	25	8	289	82	-6	+0	+0	+5	+6	0.5
2031	24	MLB MLE	CHC	55%	369	327	74	12	2	7	31	93	8	3	1	226	308	338	646	113	291	25	8	293	85	-7	+0	+0	+7	+8	0.8
2032	25	MLB MLE	CHC	56%	412	365	83	14	2	8	35	103	9	3	1	228	309	346	655	118	291	25	8	297	87	-6	+0	+0	+7	+9	1.0
2033	26	MLB MLE	CHC	56%	437	388	87	14	2	9	37	109	9	3	1	228	310	349	658	121	291	25	8	298	88	-6	+0	+0	+8	+9	1.1
2034	27	MLB MLE	CHC	55%	445	395	89	15	2	9	38	112	9	3	1	227	309	346	654	119	290	25	9	297	87	-7	+0	+0	+8	+10	1.1
2035	28	MLB MLE	CHC	55%	445	395	88	14	2	9	38	113	9	3	2	225	307	341	648	116	289	25	9	294	85	-8	-0	-1	+8	+10	0.9
2036	29	MLB MLE	CHC	53%	440	391	86	14	2	8	37	113	9	3	2	222	304	335	638	112	288	26	8	290	82	-9	-0	-1	+8	+10	0.7
2037	30	MLB MLE	CHC	53%	431	384	85	14	2	8	36	112	8	3	4	219	300	327	626	107	286	26	8	285	79	-11	-1	-2	+8	+9	0.3
2038	31	MLB MLE	CHC	52%	396	352	76	12	2	7	33	105	8	2	15	215	295	316	611	102	282	27	8	279	75	-12	-6	-3	+7	+9	-0.5
2028	21	MLB CTX	CHC	34%	37	33	6	1	0	0	3	10	1	0	0	217	300	305	606	89	290	27	8	278	73	-1	+0	+0	+1	+1	0.0
2029	22	MLB CTX	CHC	48%	95	85	19	3	1	1	8	24	2	1	0	221	304	319	623	98	292	25	8	285	78	-3	+0	+0	+2	+2	0.1
2030	23	MLB CTX	CHC	54%	158	141	32	5	1	3	13	40	3	1	0	224	307	331	638	106	293	25	8	290	82	-3	+0	+0	+3	+3	0.3
2031	24	MLB CTX	CHC	55%	205	182	41	7	1	4	17	52	4	2	1	227	309	341	650	113	294	25	8	295	85	-4	+0	+0	+4	+4	0.4
2032	25	MLB CTX	CHC	56%	231	205	46	8	1	4	19	58	5	2	1	229	311	348	659	119	294	25	8	298	87	-4	+0	+0	+4	+5	0.6
2033	26	MLB CTX	CHC	56%	246	218	50	8	2	5	21	62	5	2	1	230	311	351	662	121	294	25	9	299	88	-4	+0	+0	+4	+5	0.6
2034	27	MLB CTX	CHC	55%	246	218	50	8	2	5	21	62	5	2	1	228	310	348	658	119	293	25	9	298	87	-4	+0	+0	+4	+5	0.6
2035	28	MLB CTX	CHC	55%	244	216	49	8	1	5	21	62	5	2	1	226	308	343	651	117	292	25	9	295	85	-4	+0	-0	+4	+5	0.5
2036	29	MLB CTX	CHC	53%	235	208	46	8	1	4	20	60	5	2	1	224	305	337	642	113	291	26	9	291	82	-5	+0	-1	+4	+5	0.4
2037	30	MLB CTX	CHC	53%	227	202	44	7	1	4	19	59	4	1	2	221	301	328	630	108	288	26	8	287	79	-6	-1	-1	+4	+5	0.2
2038	31	MLB CTX	CHC	52%	206	183	39	6	1	3	17	54	4	1	8	216	296	318	615	102	285	26	8	281	75	-6	-3	-1	+4	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2130	1891	422	69	12	38	179	543	43	16	16	223	305	333	637	109	291	25	8	292	80	-43	-3	-4	+38	+46	3.5
/ 162G	—	A+C		—	650	577	129	21	4	12	55	166	13	5	5	224	305	336	642	113	291	26	8	292	80	-13	-1	-1	+12	+14	1.1
Career	—	MLE		—	4305	3801	828	134	20	76	369	1093	101	36	30	218	304	324	628	106	283	25	9	287	80	-83	-6	-7	+72	+87	6.5
/ 162G	—	MLE		—	650	574	124	20	3	11	56	165	15	5	5	216	303	319	622	103	281	25	9	287	80	-13	-1	-1	+12	+14	1.0

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 Cubs Blue · 98 PAwOBA .360 → .244 (−116)K% 15.3% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.31%	÷1.000	×1.220	—	—	18.67%
BB% (unintentional) /PA	17.35%	÷1.000	×0.700	—	×0.995	12.08%
HBP% /PA	6.12%	—	×0.700	—	×0.995	4.26%
Singles /BIP	21.67%	÷1.000	×0.680	×1.011	×0.995	14.82%
Doubles /BIP	5.00%	÷1.000	×0.600	×1.011	×0.995	3.02%
Triples /BIP	0.00%	÷1.000	×0.600	×1.011	×0.995	0.00%
Home runs /BIP	3.33%	÷1.000	×0.470	—	×0.995	1.56%

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 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 ×1.011.

Result: wOBA .360 → .244; ISO .120 → .065; BABIP .276 → .181. 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 Cubs Red · 92 PAwOBA .366 → .262 (−104)K% 20.7% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.65%	÷0.966	×1.220	—	—	26.08%
BB% (unintentional) /PA	16.30%	÷1.036	×0.700	—	×1.008	11.10%
HBP% /PA	11.96%	—	×0.700	—	×1.008	8.43%
Singles /BIP	27.27%	÷0.981	×0.680	×0.977	×1.008	18.60%
Doubles /BIP	6.82%	÷1.012	×0.600	×0.977	×1.008	3.98%
Triples /BIP	0.00%	÷1.150	×0.600	×0.977	×1.008	0.00%
Home runs /BIP	0.00%	÷0.876	×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 75, 1B 96, 2B 102, 3B 130, K 93, BB 107 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .366 → .262; ISO .048 → .032; BABIP .319 → .213. 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 Cubs Blue · 93 PAwOBA .282 → .191 (−91)K% 21.5% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.51%	÷0.976	×1.220	—	—	26.87%
BB% (unintentional) /PA	12.90%	÷0.968	×0.700	—	×1.022	9.54%
HBP% /PA	2.15%	—	×0.700	—	×1.022	1.54%
Singles /BIP	22.81%	÷1.008	×0.680	×0.965	×1.022	15.18%
Doubles /BIP	3.51%	÷1.028	×0.600	×0.965	×1.022	2.02%
Triples /BIP	0.00%	÷0.963	×0.600	×0.965	×1.022	0.00%
Home runs /BIP	1.75%	÷0.911	×0.470	—	×1.022	0.93%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 102, 2B 106, 3B 93, K 95, BB 94 — 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 ×0.965.

Result: wOBA .282 → .191; ISO .065 → .036; BABIP .259 → .168. 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
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#3Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.3	2,182	41	16	224	302	336	+39	+28	5.0	4.8
/162	664	12	5	+11.9	+8.5	1.5	pk7: 4
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 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
Diego Gonzalez (OGILVIE)	20	—	—	—	—	208/291/282	74	285	0	1	26%	8%	68	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Torrens 2016 · A	20	43→49	39→50	49→40	45	207/279/288	81	285	6	6	28%	8%	63	-1.3	212/273/295	83	270	6	4	22%	7%	62	-1.4	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Eddys Leonard 2021 · A	20	42→47	39→50	45→50	45	198/273/287	89	286	6	8	31%	8%	61	-1.5	229/297/377	148	305	16	5	29%	7%	91	+0.6	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕Carlos Cauro 2024 · A	19	40	40	46→45	49	193/286/282	89	274	7	4	30%	10%	65	-1.2	204/280/311	107	300	11	5	33%	8%	70	-0.9	198/280/293	95	285	12	5	32%	8%	65	-0.4
✕Chris Suero 2024 · A	20	41→38	41→45	50→55	50	196/295/291	95	281	8	8	31%	10%	71	-0.8	193/290/309	116	280	12	20	33%	10%	74	-0.6	181/287/307	126	264	14	27	34%	10%	70	-0.7
✕Andres Melendez 2021 · A	20	43	37→50	46→40	46	206/267/283	78	262	4	5	22%	7%	57	-1.8	213/291/333	120	335	11	5	36%	9%	78	-0.3	196/288/335	139	309	13	2	37%	11%	76	-0.2
✕Carlos Rodriguez 2023 · A	20	37	39→45	47→45	49	178/272/261	83	262	6	6	32%	10%	55	-1.9	190/264/264	74	295	5	6	34%	9%	52	-2.2	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Wilfredo Rodriguez 2014 · A	20	48	39→40	47→50	44	231/276/323	91	287	5	5	21%	6%	69	-0.9	235/273/310	75	276	5	6	16%	4%	64	-1.3	240/274/305	65	276	5	5	15%	4%	63	-0.7
✕Christian Cerda 2023 · A	20	40	39→45	50→40	53	189/279/278	88	244	6	9	23%	10%	61	-1.5	198/297/302	104	263	10	4	26%	12%	74	-0.5	187/288/292	105	240	12	2	26%	12%	67	-0.7
✕Clayton Campbell 2024 · A	20	38→44	41→45	49→45	44	182/275/289	108	287	8	6	36%	9%	63	-1.3	183/257/268	85	265	7	6	32%	8%	51	-2.3	180/250/259	79	256	8	5	31%	7%	45	-1.4
✕Blake Ochoa 2007 · A	21	45	40→45	46→40	44	215/280/307	92	280	6	5	24%	6%	68	-1.0	215/267/309	94	279	7	4	24%	6%	63	-1.4	229/292/365	137	275	15	2	22%	7%	85	+0.1
✕Leo Jiménez 2021 · A	20	44→52	37→45	50→45	46	210/269/289	79	269	4	6	23%	7%	59	-1.7	240/354/332	92	308	6	8	22%	10%	103	+1.5	236/342/334	98	302	8	8	22%	9%	97	+0.6
✕Tucker Mitchell 2022 · A	21	42	40→50	51→45	39	201/262/292	91	296	7	7	33%	6%	57	-1.8	195/270/308	113	293	13	8	36%	7%	65	-1.2	180/256/294	114	253	15	7	34%	7%	55	-0.8
✕Jacob Amaya 2018 · A	19	44→47	39→45	48→45	46	211/280/295	84	285	6	8	27%	8%	65	-1.2	225/304/318	93	298	6	8	24%	10%	79	-0.2	218/291/330	112	279	11	6	25%	9%	75	-0.4
✕Tomás Nido 2015 · A	21	44→45	39→45	49→30	43	213/268/301	88	286	6	7	27%	6%	61	-1.5	234/265/337	103	307	9	2	26%	4%	68	-1.0	244/279/354	110	291	9	0	19%	4%	75	-0.3
✕Luis Caicuto 2024 · A	21	48	37→45	46→50	46	223/294/301	78	298	4	6	25%	8%	72	-0.7	210/278/278	68	274	4	6	23%	6%	61	-1.5	197/271/279	82	244	7	8	21%	7%	57	-0.7
✕Darrien Miller 2021 · A	20	42	36→45	47→45	43	198/274/269	70	273	3	8	27%	6%	57	-1.8	204/306/321	117	276	13	6	29%	9%	82	+0.0	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Adrián Sugastey 2023 · A	20	46	38→40	49→40	44	219/277/296	76	279	6	3	23%	6%	63	-1.3	222/263/311	89	272	7	4	20%	5%	61	-1.5	225/265/311	86	256	8	3	15%	4%	60	-0.7
✕Oswaldo Linares 2023 · A	20	39	38→40	48→40	56	186/292/260	74	232	6	6	21%	11%	63	-1.3	186/285/262	76	274	6	4	31%	11%	61	-1.5	167/269/232	65	254	5	2	33%	11%	47	-0.9
✕Johanfran Garcia 2024 · A	19	41	40→50	49→45	42	199/270/291	93	282	8	6	31%	7%	61	-1.5	219/276/349	130	326	16	5	36%	6%	76	-0.4	218/265/369	151	318	23	4	38%	5%	74	-0.3

Diego Gonzalez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps