Harold Gonzalez

SS DSL LAD Mega

Age 20 R/R 5'10" / 175 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1230ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	16	ROKDSL LAD Bauti…	162	.240/.410/.272	0	9	43	—	.157/.298/.179
2024	17	ROKDSL LAD Bauti…	131	.235/.419/.316	1	8	47	—	.151/.302/.179
2025	18	ROKDSL LAD Mega	177	.257/.420/.353	2	11	47	—	.163/.293/.218
2027PROJMLE	20	MLBLAD	287	.206/.292/.280	2	6	66	0.0
2028PROJ34% MLB	21	MLBLAD	26	.207/.293/.288	0	1	71	0.0
2029PROJ48% MLB	22	MLBLAD	81	.211/.296/.301	1	2	75	0.1

Next 3 projected WAR 0.1Projected 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 2025 Rk

Whiff%91

BB%90

Chase%87

Z-Con%87

K%78

wOBA72

CompsLuis Hidalgo (age 21) · Reginald Lampe (age 20) · Luis Tejada (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 50 proj PA

wRC+†66

AVG/OBP/SLG.205 / .290 / .278

PA50

HR0

K%25

BB%10

ISO74

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · ContractCON 40 / POW 25

Toolsscout grade

CONTACT40

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED55

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	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2035	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2036	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-2	$1M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$1M

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)
2023	16	ROK	DSL LAD Bautista	—	162	125	30	4	0	0	34	20	2	9	3	240	410	272	682	32	286	12	21	332	43	—	—	—	—	—	—
2024	17	ROK	DSL LAD Bautista	—	131	98	23	5	0	1	25	23	6	8	4	235	419	316	735	82	293	18	19	349	47	—	—	—	—	—	—
2025	18	ROK	DSL LAD Mega	—	177	136	35	5	1	2	37	28	1	11	2	257	420	353	772	96	303	16	21	357	47	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	16	ROK MLE	DSL LAD Bautista	—	162	134	21	3	0	0	25	24	2	9	3	157	298	179	477	22	189	15	15	232	43	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Bautista	—	131	106	16	3	0	0	17	28	6	8	4	151	302	179	482	28	194	21	13	238	47	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	177	147	24	3	1	1	26	36	1	11	2	163	293	218	511	54	191	20	15	238	47	—	—	—	—	—	—
2023	16	ROK MLE	DSL LAD Bautista	—	162	134	21	3	0	0	25	24	2	9	3	157	298	179	477	22	191	15	15	232	43	—	—	—	—	—	—
2023	16	ROK RAW	DSL LAD Bautista	—	162	125	30	4	0	0	34	20	2	9	3	240	410	272	682	32	286	12	21	332	43	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Bautista	—	131	106	16	3	0	0	17	28	6	8	4	151	302	179	482	28	203	21	13	238	47	—	—	—	—	—	—
2024	17	ROK RAW	DSL LAD Bautista	—	131	98	23	5	0	1	25	23	6	8	4	235	419	316	735	82	293	18	19	349	47	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	177	147	24	3	1	1	26	36	1	11	2	163	293	218	511	54	204	20	15	238	47	—	—	—	—	—	—
2025	18	ROK RAW	DSL LAD Mega	—	177	136	35	5	1	2	37	28	1	11	2	257	420	353	772	96	303	16	21	357	47	—	—	—	—	—	—
2023	16	ROK MLE	DSL LAD Bautista	—	162	134	21	3	0	0	25	24	2	9	3	157	298	179	477	22	189	15	15	232	43	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Bautista	—	131	107	16	3	0	0	17	28	6	8	4	150	302	178	480	28	194	21	13	238	47	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	177	148	24	3	1	1	26	36	1	11	2	162	293	216	509	54	191	20	15	238	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL LAD Bautista	—	131	107	16	3	0	0	17	28	6	8	4	150	302	178	480	28	194	21	13	238	47	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	177	148	24	3	1	1	26	36	1	11	2	162	293	216	509	54	191	20	15	238	47	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	LAD	0%	287	255	53	9	2	2	27	70	3	6	1	206	292	280	573	74	274	24	9	265	66	-12	+1	+0	+3	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	LAD	34%	77	69	14	2	0	1	7	19	1	2	0	211	297	295	592	84	276	25	9	273	71	-3	+0	+0	+1	+2	0.0
2029	22	MLB MLE	LAD	48%	167	147	31	5	1	2	16	40	2	4	1	215	300	307	607	93	277	24	10	279	75	-5	+0	+0	+2	+4	0.1
2030	23	MLB MLE	LAD	54%	265	235	52	9	2	4	25	63	3	6	1	218	303	317	620	99	279	24	9	283	78	-7	+1	+0	+3	+6	0.2
2031	24	MLB MLE	LAD	55%	352	312	69	12	2	6	33	84	4	8	2	221	305	326	630	105	281	24	9	287	81	-8	+1	+0	+4	+8	0.4
2032	25	MLB MLE	LAD	56%	404	358	79	13	2	7	38	96	5	9	2	223	306	332	638	109	281	24	9	290	82	-8	+1	+0	+4	+9	0.6
2033	26	MLB MLE	LAD	60%	436	387	86	14	3	8	41	103	5	9	2	223	306	332	639	110	281	24	9	290	83	-9	+1	+0	+5	+9	0.6
2034	27	MLB MLE	LAD	62%	450	399	89	15	3	8	43	107	5	9	2	222	305	330	635	108	281	24	10	289	82	-10	+1	+0	+5	+10	0.6
2035	28	MLB MLE	LAD	63%	453	402	88	15	3	7	43	109	5	9	2	220	303	325	629	106	280	24	9	286	80	-11	+1	-1	+5	+10	0.4
2036	29	MLB MLE	LAD	64%	447	397	86	14	3	7	42	109	5	8	2	218	301	319	620	102	279	24	9	283	78	-12	+1	-1	+5	+10	0.2
2037	30	MLB MLE	LAD	65%	438	389	83	14	2	6	41	108	5	7	2	215	297	312	609	97	277	25	9	279	75	-13	+1	-2	+5	+9	-0.1
2028	21	MLB CTX	LAD	34%	26	24	5	1	0	0	2	6	0	1	0	207	293	288	581	81	269	23	8	269	71	-1	+0	+0	+0	+1	0.0
2029	22	MLB CTX	LAD	48%	81	72	14	2	0	1	8	19	1	2	0	211	296	301	597	90	271	23	10	275	75	-2	+0	+0	+1	+2	0.1
2030	23	MLB CTX	LAD	54%	144	127	27	4	1	2	14	34	2	3	1	214	299	311	610	97	273	24	10	280	78	-4	+0	+0	+2	+3	0.1
2031	24	MLB CTX	LAD	55%	195	172	37	6	1	3	19	46	2	4	1	217	301	320	621	103	274	24	10	284	81	-4	+0	+0	+2	+4	0.2
2032	25	MLB CTX	LAD	56%	226	200	43	7	1	4	21	53	3	5	1	219	303	326	628	107	275	23	9	286	82	-5	+1	+0	+2	+5	0.3
2033	26	MLB CTX	LAD	60%	262	232	50	8	1	5	25	62	3	6	1	219	303	327	629	108	275	24	10	287	83	-5	+1	+0	+3	+6	0.4
2034	27	MLB CTX	LAD	62%	279	247	54	9	1	5	27	66	3	6	1	218	302	324	626	107	274	24	10	285	82	-6	+1	+0	+3	+6	0.4
2035	28	MLB CTX	LAD	63%	286	254	55	9	1	5	27	69	3	5	1	216	300	320	619	104	274	24	9	283	80	-7	+1	-0	+3	+6	0.3
2036	29	MLB CTX	LAD	64%	285	253	54	9	1	5	27	69	3	5	1	214	297	314	611	100	273	24	9	279	78	-8	+1	-1	+3	+6	0.1
2037	30	MLB CTX	LAD	65%	285	253	53	9	1	4	27	70	3	5	1	211	294	306	600	95	271	25	9	275	75	-9	+1	-1	+3	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2069	1834	392	64	8	34	197	494	23	42	8	214	298	313	611	99	272	24	10	282	75	-51	+5	-3	+22	+45	1.9
/ 162G	—	A+C		—	650	576	124	20	3	11	62	155	7	13	3	215	299	318	617	102	274	24	10	282	75	-16	+2	-1	+7	+14	0.6
Career	—	MLE		—	4009	3526	747	124	22	57	402	938	50	100	25	212	301	308	609	96	270	23	10	279	75	-88	+8	-4	+38	+77	3.1
/ 162G	—	MLE		—	650	572	121	20	4	9	65	152	8	16	4	212	301	308	608	96	271	23	10	279	75	-16	+1	-1	+7	+14	0.6

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.

2025 DSLDSL LAD Mega · 177 PAwOBA .355 → .238 (−117)K% 15.8% → 20.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.82%	÷0.957	×1.220	—	—	20.17%
BB% (unintentional) /PA	20.90%	÷1.000	×0.700	—	×0.995	14.56%
HBP% /PA	0.56%	—	×0.700	—	×0.995	0.39%
Singles /BIP	25.00%	÷0.985	×0.680	×0.956	×0.995	16.41%
Doubles /BIP	4.63%	÷1.050	×0.600	×0.956	×0.995	2.51%
Triples /BIP	0.93%	÷0.988	×0.600	×0.956	×0.995	0.53%
Home runs /BIP	1.85%	÷1.011	×0.470	—	×0.995	0.86%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 97, 2B 110, 3B 98, K 91, 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 ×0.956.

Result: wOBA .355 → .238; ISO .096 → .052; BABIP .303 → .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).

2024 DSLDSL LAD Bautista · 131 PAwOBA .344 → .238 (−107)K% 17.6% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.56%	÷0.994	×1.220	—	—	21.56%
BB% (unintentional) /PA	19.08%	÷1.051	×0.700	—	×1.008	12.81%
HBP% /PA	4.58%	—	×0.700	—	×1.008	3.23%
Singles /BIP	22.67%	÷0.998	×0.680	×0.990	×1.008	15.41%
Doubles /BIP	6.67%	÷0.963	×0.600	×0.990	×1.008	4.15%
Triples /BIP	0.00%	÷1.150	×0.600	×0.990	×1.008	0.00%
Home runs /BIP	1.33%	÷1.059	×0.470	—	×1.008	0.60%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 100, 2B 92, 3B 130, K 99, BB 110 — 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 ×0.990.

Result: wOBA .344 → .238; ISO .082 → .050; BABIP .293 → .194. 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 LAD Bautista · 162 PAwOBA .326 → .232 (−94)K% 12.3% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.35%	÷0.999	×1.220	—	—	15.08%
BB% (unintentional) /PA	20.99%	÷0.980	×0.700	—	×1.022	15.33%
HBP% /PA	1.23%	—	×0.700	—	×1.022	0.88%
Singles /BIP	24.76%	÷1.003	×0.680	×0.967	×1.022	16.61%
Doubles /BIP	3.81%	÷0.990	×0.600	×0.967	×1.022	2.28%
Triples /BIP	0.00%	÷0.969	×0.600	×0.967	×1.022	0.00%
Home runs /BIP	0.00%	÷1.319	×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 164, 1B 101, 2B 98, 3B 94, K 100, BB 96 — 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 ×0.967.

Result: wOBA .326 → .232; ISO .032 → .020; BABIP .286 → .189. 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
#1Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#2Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#3Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#4Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.2	2,118	33	42	220	300	324	+23	+21	3.3	3.1
/162	664	10	13	+7.1	+6.6	1.0	pk7: 3
#5Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
#6Ryan 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

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
Harold Gonzalez (OGILVIE)	20	40	25	55	60	205/290/278	73	274	0	1	25%	10%	66	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Hidalgo 2017 · A	21	34	40→45	47→45	46	171/237/257	86	202	9	12	21%	6%	40	-3.0	218/268/334	116	259	12	8	20%	5%	70	-0.9	255/297/374	119	283	12	8	14%	4%	87	+0.2
✕Reginald Lampe 2010 · A	20	39	35→45	43→55	43	184/245/246	62	257	2	7	28%	7%	40	-3.0	195/257/282	87	248	6	9	23%	6%	53	-2.1	182/247/269	87	229	7	10	23%	6%	45	-0.9
✕Luis Tejada 2014 · A	21	41→44	36→45	52→50	38	195/236/262	67	270	3	13	28%	4%	40	-3.1	210/252/296	86	278	7	9	26%	4%	54	-2.0	216/264/322	106	271	10	7	23%	5%	62	-0.8
✕Jose Rojas 2013 · A	20	38	36→40	47→45	51	178/246/248	69	217	3	3	18%	8%	41	-3.0	187/249/274	87	219	6	4	17%	7%	49	-2.4	170/239/257	87	193	6	4	15%	7%	41	-1.1
✕Jose Paniagua 2015 · A	21	35	38→45	50→55	46	171/238/253	82	230	5	12	27%	8%	40	-3.1	191/242/280	89	274	7	8	31%	6%	47	-2.6	177/211/272	96	252	10	2	33%	3%	30	-1.1
✕Alexander Simon 2012 · A	19	40→50	34→40	49→50	45	186/244/244	58	249	1	12	24%	7%	39	-3.1	210/261/283	73	294	3	11	28%	6%	54	-2.0	224/267/299	74	321	3	10	30%	5%	57	-1.0
✕Gabriel Moncada 2021 · A	19	40→41	35→45	45→40	43	190/242/250	60	255	2	6	25%	6%	40	-3.1	206/288/306	100	297	8	4	31%	9%	72	-0.7	196/281/311	115	285	11	2	33%	9%	68	-0.5
✕Felix Munoz 2011 · A	19	40→50	35→40	48→30	52	181/246/237	56	207	3	4	14%	8%	39	-3.1	208/253/272	64	255	3	4	19%	6%	49	-2.4	230/272/321	91	274	8	1	19%	5%	65	-0.8
✕Luis Pimentel 2010 · A	21	40	37→40	45→50	51	182/243/250	68	200	5	8	12%	7%	40	-3.0	211/262/294	83	262	6	6	21%	5%	57	-1.8	226/267/303	77	286	8	2	23%	4%	60	-0.4
✕Michael Soto 2010 · A	18	37	36→40	48→45	45	180/242/245	64	244	4	7	27%	7%	39	-3.1	178/244/266	88	252	8	5	31%	8%	45	-2.7	186/246/296	110	248	11	4	29%	7%	52	-0.8
✕Jhimmy Lopez 2013 · A	20	38	38→40	43→40	37	187/237/268	81	268	5	4	31%	5%	42	-2.9	190/245/268	78	303	5	5	36%	6%	45	-2.7	123/184/161	37	214	4	0	42%	6%	-4	-1.1
✕Jhoan Herrera 2015 · A	20	39	35→40	44→30	45	186/251/244	57	246	2	3	24%	7%	42	-2.9	198/249/280	82	287	5	3	31%	6%	49	-2.4	188/234/273	85	275	5	1	32%	5%	39	-1.1
✕Gerlis Rodriguez 2008 · A	20	38	38→40	45→50	43	187/240/260	73	240	6	7	25%	6%	41	-3.0	198/243/267	69	241	4	8	19%	5%	44	-2.8	194/235/255	61	229	3	9	17%	5%	36	-1.3
✕Elvin Polanco 2007 · A	20	33→41	39→45	44→40	45	167/245/243	76	223	7	5	28%	8%	41	-3.0	209/252/309	100	275	10	4	27%	5%	57	-1.8	214/245/308	94	284	10	2	28%	3%	52	-1.2
✕Joel Diaz 2017 · A	21	40	38→40	43→40	40	193/234/270	76	242	6	5	23%	4%	41	-3.0	205/249/270	65	281	3	5	26%	5%	47	-2.6	201/246/253	52	281	1	3	28%	5%	39	-1.2
✕Brian Navarreto 2015 · A	20	34	41→45	48→30	36	176/226/276	100	264	9	5	36%	5%	40	-3.0	180/220/246	66	250	5	2	29%	4%	30	-3.8	197/246/311	114	243	14	1	25%	5%	53	-0.7
✕Gerardo Carrizalez 2014 · A	19	39	36→30	50→45	42	187/246/253	66	256	3	7	27%	6%	42	-2.9	170/234/225	55	227	2	7	24%	7%	32	-3.7	139/207/177	39	182	1	6	23%	7%	11	-1.9
✕Gino Moranci 2009 · A	19	39	35→30	50→45	39	186/245/249	63	283	2	6	33%	6%	40	-3.0	183/248/235	52	254	2	5	26%	8%	39	-3.1	167/237/202	35	225	1	4	24%	8%	25	-1.3
✕Kevin Berard 2011 · A	19	44	37→30	50→55	35	204/250/275	71	332	4	8	38%	5%	48	-2.5	196/252/257	61	305	3	13	34%	6%	45	-2.7	207/275/256	49	302	2	18	30%	6%	53	-0.7
✕Steven Mateo 2011 · A	18	40	35→30	41→50	39	190/241/249	59	283	2	5	32%	6%	39	-3.1	185/271/249	64	267	3	7	29%	9%	52	-2.2	190/285/259	69	264	3	8	26%	11%	58	-0.6

Harold Gonzalez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps