Angel Gonzalez

OF DSL Brewers Blue

Age 20 L/R 5'10" / 171 lbs ROK HR +10%K +6% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1544ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Brewers 2	125	.179/.371/.242	1	9	32	—	.139/.298/.198
2025	18	ROKDSL Brewers B…	140	.252/.420/.402	1	13	53	—	.150/.304/.221
2026	19	ROKDSL Brewers B…	175	.276/.459/.386	2	18	65	—	.181/.335/.246
2027PROJMLE	20	MLBMIL	285	.220/.309/.309	3	7	78	0.0
2028PROJ34% MLB	21	MLBMIL	48	.221/.310/.319	1	1	83	-0.0
2029PROJ48% MLB	22	MLBMIL	114	.225/.313/.331	2	3	87	0.0

Next 3 projected WAR 0.0Projected 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%86

BB%85

Whiff%85

Speed82

wOBA77

K%77

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

CompsFranchy Cordero (age 19) · Jean Carlos Sio (age 20) · Dalton Kelly (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 91 proj PA

wRC+†78

AVG/OBP/SLG.218 / .306 / .306

PA91

HR1

K%25

BB%9

ISO89

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · ContractCON 61 / POW 36

Toolsscout grade

CONTACT61

scouting grade only

POWER36

scouting grade only

EYE71

scouting grade only

SPEED65

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	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.6M	—	—	—
2037	Arb-2	$0.4M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.5M

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)
2024	17	ROK	DSL Brewers 2	—	125	95	17	1	1	1	22	23	7	9	2	179	371	242	613	63	222	18	18	305	32	—	—	—	—	—	—
2025	18	ROK	DSL Brewers Blue	—	140	107	27	9	2	1	21	23	10	13	6	252	420	402	822	150	306	16	15	375	53	—	—	—	—	—	—
2026	19	ROK	DSL Brewers Blue	—	175	127	35	6	1	2	37	28	6	18	1	276	459	386	845	110	324	16	21	384	65	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Brewers 2	—	125	101	14	1	1	1	16	28	7	9	2	139	298	198	496	59	156	22	13	215	32	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Blue	—	140	113	17	6	1	0	15	27	10	13	6	150	304	221	526	71	181	19	11	247	53	—	—	—	—	—	—
2026	19	ROK MLE	DSL Brewers Blue	—	175	138	25	4	1	1	26	34	6	18	1	181	335	246	582	65	202	19	15	265	65	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 2	—	125	101	14	1	1	1	16	28	7	9	2	139	298	198	496	59	178	22	13	215	32	—	—	—	—	—	—
2024	17	ROK RAW	DSL Brewers 2	—	125	95	17	1	1	1	22	23	7	9	2	179	371	242	613	63	222	18	18	305	32	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Blue	—	140	113	17	6	1	0	15	27	10	13	6	150	304	221	526	71	193	19	11	247	53	—	—	—	—	—	—
2025	18	ROK RAW	DSL Brewers Blue	—	140	107	27	9	2	1	21	23	10	13	6	252	420	402	822	150	306	16	15	375	53	—	—	—	—	—	—
2026	19	ROK MLE	DSL Brewers Blue	—	175	138	25	4	1	1	26	34	6	18	1	181	335	246	582	65	222	19	15	265	65	—	—	—	—	—	—
2026	19	ROK RAW	DSL Brewers Blue	—	175	127	35	6	1	2	37	28	6	18	1	276	459	386	845	110	324	16	21	384	65	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 2	—	125	101	14	1	1	1	16	28	7	9	2	139	298	198	496	59	156	22	13	215	32	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Blue	—	140	114	17	6	1	0	15	27	10	13	6	149	304	219	524	70	181	19	11	247	53	—	—	—	—	—	—
2026	19	ROK MLE	DSL Brewers Blue	—	175	141	25	4	1	1	26	34	6	18	1	177	335	241	576	64	202	19	15	265	65	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Brewers 2	—	125	101	14	1	1	1	16	28	7	9	2	139	298	198	496	59	156	22	13	215	32	—	—	—	—	—	—
2025	18	ROK MLE	DSL Brewers Blue	—	140	114	17	6	1	0	15	27	10	13	6	149	304	219	524	70	181	19	11	247	53	—	—	—	—	—	—
2026	19	ROK MLE	DSL Brewers Blue	—	175	141	25	4	1	1	26	34	6	18	1	177	335	241	576	64	202	19	15	265	65	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	MIL	0%	285	251	56	10	2	3	27	70	5	7	1	220	309	309	618	89	292	25	9	284	78	-7	+1	+0	-2	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	MIL	34%	140	123	28	5	1	2	13	34	3	4	1	224	313	323	636	99	293	24	9	291	83	-3	+0	+0	-1	+3	-0.0
2029	22	MLB MLE	MIL	48%	235	207	47	8	2	3	22	57	4	6	1	228	315	335	650	107	294	24	9	296	87	-4	+1	+0	-1	+5	0.1
2030	23	MLB MLE	MIL	54%	330	290	67	12	3	5	31	79	6	9	2	230	317	343	661	113	295	24	9	300	89	-4	+1	+0	-2	+7	0.2
2031	24	MLB MLE	MIL	55%	396	349	81	14	3	7	37	94	7	11	2	232	319	350	669	118	295	24	9	303	91	-4	+1	+0	-2	+9	0.4
2032	25	MLB MLE	MIL	56%	434	382	89	16	3	8	41	103	8	12	2	233	319	355	674	121	295	24	9	305	93	-4	+2	+0	-3	+9	0.5
2033	26	MLB MLE	MIL	56%	453	400	92	16	3	8	42	107	8	12	3	233	319	355	674	122	295	24	9	305	93	-4	+1	+0	-3	+10	0.4
2034	27	MLB MLE	MIL	55%	461	407	94	17	3	8	43	110	8	12	3	232	318	352	670	120	295	24	9	304	92	-5	+1	+0	-3	+10	0.4
2035	28	MLB MLE	MIL	55%	460	406	93	16	3	8	43	111	8	11	2	230	316	348	664	117	294	24	9	301	90	-6	+1	-1	-3	+10	0.2
2036	29	MLB MLE	MIL	53%	452	400	91	16	3	8	42	110	7	10	2	228	313	341	654	113	292	24	9	297	87	-7	+1	-1	-3	+10	0.0
2037	30	MLB MLE	MIL	53%	441	390	87	15	3	7	41	109	7	10	2	225	310	333	643	108	291	25	9	293	84	-8	+1	-2	-3	+10	-0.2
2028	21	MLB CTX	MIL	34%	48	42	10	2	0	1	5	12	1	1	0	221	310	319	630	98	288	25	10	288	83	-1	+0	+0	-0	+1	-0.0
2029	22	MLB CTX	MIL	48%	114	100	23	4	1	2	11	27	2	3	1	225	313	331	644	106	289	24	10	294	87	-2	+0	+0	-1	+2	0.0
2030	23	MLB CTX	MIL	54%	179	157	35	6	1	3	17	43	3	5	1	228	315	340	655	113	290	24	9	298	89	-2	+1	+0	-1	+4	0.1
2031	24	MLB CTX	MIL	55%	219	192	44	7	2	4	21	52	4	6	1	230	316	347	664	118	291	24	10	301	91	-2	+1	+0	-1	+5	0.2
2032	25	MLB CTX	MIL	56%	243	214	50	8	2	5	23	58	4	7	1	231	317	352	669	121	291	24	9	303	93	-2	+1	+0	-1	+5	0.3
2033	26	MLB CTX	MIL	56%	255	225	52	9	2	5	24	60	4	7	1	231	317	353	669	122	290	24	9	303	93	-2	+1	+0	-2	+6	0.3
2034	27	MLB CTX	MIL	55%	255	225	52	9	2	5	24	61	4	7	1	230	316	350	666	120	290	24	9	302	92	-3	+1	+0	-2	+6	0.3
2035	28	MLB CTX	MIL	55%	252	222	51	8	2	5	24	61	4	6	1	228	314	345	659	117	289	24	10	299	90	-3	+1	-0	-2	+5	0.1
2036	29	MLB CTX	MIL	53%	241	213	48	8	2	4	22	59	4	6	1	225	311	339	650	113	288	24	9	295	87	-4	+1	-1	-1	+5	0.0
2037	30	MLB CTX	MIL	53%	232	205	46	7	2	4	21	57	4	5	1	222	308	330	638	108	286	25	9	291	84	-4	+1	-1	-1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2038	1795	411	68	16	38	192	490	34	53	9	229	315	348	663	119	292	24	9	299	85	-25	+7	-2	-12	+44	1.2
/ 162G	—	A+C		—	650	572	131	22	5	12	61	156	11	17	3	229	315	348	663	119	292	24	9	299	85	-8	+2	-1	-4	+14	0.4
Career	—	MLE		—	4333	3786	843	149	31	67	421	1025	91	139	29	223	315	331	647	109	285	24	10	294	85	-50	+12	-4	-23	+84	1.9
/ 162G	—	MLE		—	650	568	126	22	5	10	63	154	14	21	4	222	315	331	646	109	284	24	10	294	85	-8	+2	-1	-4	+14	0.3

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 Brewers Blue · 175 PAwOBA .387 → .265 (−122)K% 16.0% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.00%	÷1.000	×1.220	—	—	19.52%
BB% (unintentional) /PA	21.14%	÷1.000	×0.700	—	×0.995	14.73%
HBP% /PA	3.43%	—	×0.700	—	×0.995	2.39%
Singles /BIP	26.26%	÷1.000	×0.680	×0.950	×0.995	16.88%
Doubles /BIP	6.06%	÷1.000	×0.600	×0.950	×0.995	3.44%
Triples /BIP	1.01%	÷1.000	×0.600	×0.950	×0.995	0.57%
Home runs /BIP	2.02%	÷1.000	×0.470	—	×0.995	0.94%

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 ×0.950.

Result: wOBA .387 → .265; ISO .110 → .065; BABIP .324 → .202. 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 Brewers Blue · 140 PAwOBA .371 → .247 (−124)K% 16.4% → 19.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.43%	÷1.052	×1.220	—	—	19.04%
BB% (unintentional) /PA	15.00%	÷0.984	×0.700	—	×1.008	10.75%
HBP% /PA	7.14%	—	×0.700	—	×1.008	5.04%
Singles /BIP	17.86%	÷1.051	×0.680	×0.950	×1.008	11.05%
Doubles /BIP	10.71%	÷1.017	×0.600	×0.950	×1.008	6.05%
Triples /BIP	2.38%	÷1.042	×0.600	×0.950	×1.008	1.31%
Home runs /BIP	1.19%	÷1.042	×0.470	—	×1.008	0.54%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 110, 2B 103, 3B 108, K 110, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .371 → .247; ISO .150 → .088; BABIP .306 → .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).

2024 DSLDSL Brewers 2 · 125 PAwOBA .301 → .215 (−86)K% 18.4% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.40%	÷0.989	×1.220	—	—	22.70%
BB% (unintentional) /PA	17.60%	÷1.012	×0.700	—	×1.022	12.45%
HBP% /PA	5.60%	—	×0.700	—	×1.022	4.01%
Singles /BIP	19.44%	÷0.989	×0.680	×1.022	×1.022	13.97%
Doubles /BIP	1.39%	÷0.968	×0.600	×1.022	×1.022	0.90%
Triples /BIP	1.39%	÷1.150	×0.600	×1.022	×1.022	0.76%
Home runs /BIP	1.39%	÷0.808	×0.470	—	×1.022	0.83%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 62, 1B 98, 2B 94, 3B 130, K 98, BB 102 — 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 ×1.022.

Result: wOBA .301 → .215; ISO .063 → .039; BABIP .222 → .156. 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
#1Willie Harrislast yr '11 career totals — 10 seasons, 2,743 PA	4.1	2,743	39	106	241	331	351	-11	-2	5.3	6.2
/162	664	9	26	-2.7	-0.5	1.3	pk7: 7
#2Gabe Grosslast yr '10 career totals — 7 seasons, 1,682 PA	2.5	1,682	40	22	239	330	385	-14	+11	5.1	5.1
/162	664	16	9	-5.7	+4.4	2.0	pk7: 5
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Darren Bragg'94-'04 * career totals — 10 seasons, 2,835 PA	4.3	2,835	46	56	243*	324*	368*	-18	+2	2.5	3.8
/162	664	11	13	-4.1	+0.4	0.6	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.2	2,130	36	55	231	313	346	-13	+0	2.5	2.4
/162	664	11	17	-4.0	+0.0	0.8	pk7: 2
#5Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	2.4	1,616	31	13	245*	309*	381*	-9	-1	1.4	1.4
/162	664	13	5	-3.6	-0.6	0.6	pk7: 1
#6James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	2.7	1,795	18	109	235*	314*	329*	-11	-0	0.7	1.0
/162	664	7	40	-4.2	-0.1	0.3	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
Angel Gonzalez (OGILVIE)	20	56→61	31→36	60→65	71	218/306/306	88	292	1	2	25%	9%	78	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Franchy Cordero 2014 · A	19	44→54	38→55	58→50	41	207/265/293	86	304	5	13	32%	7%	58	-1.7	208/250/287	79	323	5	13	35%	5%	51	-2.3	250/293/418	168	373	15	17	35%	5%	94	+0.7
✕Jean Carlos Sio 2024 · A	20	41→51	36→45	51→50	51	192/268/258	66	238	4	13	20%	9%	52	-2.2	221/300/315	94	287	8	11	24%	8%	78	-0.3	224/303/331	107	289	11	12	25%	8%	79	-0.2
✕Dalton Kelly 2016 · A	21	43→53	36→45	58→50	44	189/277/263	74	328	2	14	39%	10%	57	-1.8	237/307/343	106	333	6	12	28%	8%	86	+0.3	238/320/344	106	328	8	13	27%	9%	88	+0.4
✕Eury Pérez 2009 · A	19	44→54	36→40	54→65	51	204/286/265	61	255	3	20	20%	8%	61	-1.5	257/302/327	70	316	4	28	19%	5%	79	-0.2	300/333/376	75	363	4	37	18%	3%	96	+0.8
✕Alberto Rodriguez 2021 · A	20	42→52	38→50	52→50	44	203/259/282	79	268	5	14	25%	7%	53	-2.1	228/290/353	125	327	10	8	31%	7%	82	-0.0	228/292/360	132	326	11	7	31%	7%	81	-0.1
✕Carlos Rodríguez 2022 · A	21	49→59	36→40	50→55	44	227/280/296	68	311	2	14	26%	7%	64	-1.3	245/301/329	84	310	4	15	21%	7%	80	-0.2	265/323/349	84	315	3	16	16%	7%	89	+0.3
✕Jacob Robson 2017 · A	22	45→55	36→45	54→55	45	209/271/278	69	293	2	18	28%	8%	57	-1.8	244/301/336	92	360	6	16	31%	7%	81	-0.1	252/321/371	119	382	10	22	33%	9%	94	+0.7
●Ezequiel Carrera 2008 · A	21	48→58	35→45	51→60	46	224/281/285	61	280	2	17	20%	6%	62	-1.4	258/320/343	85	331	4	21	22%	7%	90	+0.6	279/339/344	65	344	2	32	18%	7%	94	+0.7
✕Ismael Munguia 2019 · A	20	47→55	37→45	50→55	45	222/264/302	80	261	3	7	16%	5%	59	-1.7	247/284/335	88	284	4	10	14%	4%	74	-0.5	266/321/371	105	293	10	20	12%	5%	95	+0.6
✕Jake Shaffer 2009 · A	21	43→53	38→45	52→45	42	207/257/288	81	283	5	15	28%	6%	54	-2.0	250/282/362	112	317	9	7	23%	4%	80	-0.2	265/295/386	122	329	9	6	22%	3%	87	+0.3
✕Rudy Martin Jr. 2017 · A	21	44	38→45	58→65	42	203/275/285	82	317	4	20	34%	8%	61	-1.5	196/259/288	92	324	7	29	39%	7%	56	-1.9	220/296/327	107	310	12	41	30%	9%	75	-0.2
✕Jean Ramirez 2021 · A	20	45→49	36→40	54→65	50	211/270/271	60	246	4	23	16%	7%	55	-1.9	208/277/288	80	302	6	25	31%	8%	62	-1.4	211/278/286	75	307	7	32	31%	8%	59	-0.8
✕Travis Jankowski 2013 · A	22	50→60	37→40	53→65	40	236/271/315	79	305	4	17	24%	4%	65	-1.2	253/305/322	69	324	2	35	21%	7%	79	-0.2	268/334/344	76	339	3	37	20%	8%	94	+0.5
✕Darrell Ceciliani 2011 · A	21	43→53	38→45	52→55	41	206/263/283	77	275	6	13	26%	6%	55	-1.9	236/292/325	89	318	5	16	26%	6%	76	-0.4	259/299/367	108	345	9	26	26%	4%	86	+0.2
✕Carlos Jimenez 2022 · A	19	36→44	39→50	53→55	48	177/265/262	85	249	7	11	30%	9%	53	-2.1	194/283/299	105	299	9	16	34%	10%	68	-1.0	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Xavier Avery 2010 · A	20	49→57	36→45	54→55	35	226/261/293	67	328	2	17	31%	4%	55	-1.9	240/287/328	88	339	5	23	29%	6%	74	-0.5	251/302/345	94	339	7	27	27%	6%	80	-0.1
✕Taylor Trammell 2017 · A	19	47→48	37→55	55	39	218/270/298	80	323	4	18	32%	6%	61	-1.5	216/285/315	99	312	8	20	31%	8%	72	-0.7	213/300/386	173	283	21	17	31%	10%	93	+0.5
✕James Adduci 2006 · A	21	48→58	38→45	51→60	44	226/277/311	85	297	4	8	24%	6%	67	-1.1	232/281/307	75	331	4	12	29%	6%	67	-1.1	248/303/356	107	313	10	27	23%	7%	85	+0.2
●Ruben Sosa 2013 · A	22	47→54	35→45	56→60	47	218/281/281	63	291	2	20	24%	8%	61	-1.5	229/286/318	89	327	4	29	29%	7%	72	-0.7	269/335/371	102	339	5	31	21%	7%	99	+0.8
✕Leody Taveras 2019 · A	20	46→55	38→50	50→55	43	221/264/300	78	281	5	12	23%	6%	59	-1.7	221/273/323	102	301	8	19	27%	7%	68	-1.0	251/301/382	131	311	12	20	23%	7%	92	+0.7

Angel Gonzalez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps