Josuar Gonzalez

SS San Jose Giants

Age 19 S/R 5'10" / 178 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2035

Overview

APROSPECTMiLBFA 2036

OGV OFP50OGV rank#41ETA2028MLB%10%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Giants Bl…	228	.288/.404/.455	4	33	53	—	.181/.268/.270
2026	18	A/ROKSF	275	.351/.454/.544	5	21	128	—	.293/.369/.442
2027PROJ10% MLB	19	MLBSF	16	.228/.301/.347	0	0	87	0.0
2028PROJ53% MLB	20	MLBSF	120	.233/.308/.364	2	3	94	0.4
2029PROJ68% MLB	21	MLBSF	234	.237/.312/.377	5	7	99	1.0

Next 3 projected WAR 1.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$7M2034Arb-2$11M+1

Skills · percentileMiLB Statcast 2026 A

wOBA96

wRC+94

Speed92

Z-Con%87

ISO84

K%74

Career WAR0.0 WAR median (P10 -0.2 / P90 40, comp-based) · star 10% · didn't stick 66%

CompsRicky Cabrera (age 19) · Alen Hanson (age 20) · Royce Lewis (age 19)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†87

AVG/OBP/SLG.228 / .301 / .347

PA16

HR0

K%25

BB%6

BABIP288

ISO67

MLB%10%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$69M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+1.5	$10M	+$9M
2031	Pre-Arb	$0.9M	+1.8	$11M	+$10M
2032	Pre-Arb	$0.9M	+2.1	$12M	+$11M
2033	Arb-1	$7M	+2.2	$11M	+$8M
2034	Arb-2	$11M	+2.2	$10M	+$5M
2035	Arb-3	$17M	+2.1	$9M	+$2M
Totals		$38M		$62M	+$44M

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)
2025	17	ROK	DSL Giants Black	—	228	191	55	10	5	4	37	36	0	33	5	288	404	455	859	168	338	16	16	384	53	—	—	—	—	—	—
2026	18	A	San Jose Giants	—	153	129	46	6	6	3	21	30	1	13	4	357	450	566	1.016	209	439	20	14	438	148	—	—	—	—	—	—
2026	18	ROK	ACL Giants	—	122	99	34	7	2	2	20	25	1	8	2	343	458	515	973	172	432	20	16	425	103	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Giants Black	—	228	204	37	6	3	2	24	44	0	33	5	181	268	270	537	88	224	19	11	247	53	—	—	—	—	—	—
2026	18	A MLE	San Jose Giants	—	153	135	43	5	6	2	15	41	1	13	4	319	391	489	880	170	434	27	10	387	148	—	—	—	—	—	—
2026	18	ROK MLE	ACL Giants	—	122	107	28	5	1	2	12	36	1	8	2	262	342	383	725	121	360	30	10	320	103	—	—	—	—	—	—
2025	17	ROK MLE	DSL Giants Black	—	228	204	37	6	3	2	24	44	0	33	5	181	268	270	537	88	222	19	11	247	53	—	—	—	—	—	—
2025	17	ROK RAW	DSL Giants Black	—	228	191	55	10	5	4	37	36	0	33	5	288	404	455	859	168	338	16	16	384	53	—	—	—	—	—	—
2026	18	A MLE	2 teams	—	275	241	72	11	7	4	28	77	2	21	6	299	376	452	829	154	415	28	10	357	128	—	—	—	—	—	—
2026	18	A RAW	2 teams	—	275	228	80	13	8	5	41	55	2	21	6	351	454	544	998	193	436	20	15	433	128	—	—	—	—	—	—
2025	17	ROK MLE	DSL Giants Black	—	228	202	37	6	3	2	24	44	0	33	5	183	268	272	540	89	224	19	11	247	53	—	—	—	—	—	—
2026	18	A MLE	2 teams	—	275	243	72	11	7	4	28	77	2	21	6	296	376	449	825	152	401	28	10	357	128	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Giants Black	—	228	202	37	6	3	2	24	44	0	33	5	183	268	272	540	89	224	19	11	247	53	—	—	—	—	—	—
2026	18	A MLE	2 teams	—	275	243	72	11	7	4	28	77	2	21	6	296	376	449	825	152	401	28	10	357	128	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	SF	10%	385	346	80	14	4	7	33	91	3	10	2	232	305	356	660	124	292	24	9	297	87	-6	+1	+3	+4	+8	0.6
▸ 2027 — real world (MLB)
2027	19	MLB CTX	SF	10%	16	15	3	1	0	0	1	4	0	0	0	228	301	347	648	120	288	25	6	292	87	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	SF	53%	226	202	47	8	2	5	20	53	2	6	2	237	312	374	685	137	294	23	9	307	94	-2	+0	+2	+2	+5	0.8
2029	21	MLB MLE	SF	68%	345	308	75	13	4	8	31	79	3	10	3	241	316	388	704	147	295	23	9	314	99	-1	+1	+3	+4	+7	1.4
2030	22	MLB MLE	SF	73%	431	386	93	16	4	11	38	98	4	12	3	244	320	398	717	154	296	23	9	319	102	+1	+1	+4	+5	+9	2.0
2031	23	MLB MLE	SF	75%	486	435	107	18	5	14	43	110	5	14	4	246	322	405	726	158	296	23	9	323	105	+3	+1	+4	+5	+11	2.5
2032	24	MLB MLE	SF	74%	521	464	115	20	5	15	47	117	5	14	4	248	323	409	732	162	297	22	9	325	106	+4	+1	+5	+6	+11	2.8
2033	25	MLB MLE	SF	73%	542	483	120	21	5	16	49	122	5	15	4	248	324	412	735	163	297	23	9	326	107	+5	+1	+5	+6	+12	2.9
2034	26	MLB MLE	SF	73%	552	492	122	21	5	16	50	124	5	15	4	248	324	412	736	164	297	22	9	327	107	+5	+1	+6	+6	+12	3.0
2035	27	MLB MLE	SF	72%	552	492	122	21	5	16	50	125	5	15	4	247	323	410	733	163	297	23	9	325	106	+4	+1	+6	+6	+12	3.0
2036	28	MLB MLE	SF	71%	547	488	120	20	5	16	49	125	5	13	4	246	321	405	727	160	296	23	9	323	105	+3	+1	+5	+6	+12	2.7
2037	29	MLB MLE	SF	69%	534	476	117	20	5	15	48	123	5	12	4	243	318	400	718	156	295	23	9	319	102	+1	+1	+4	+6	+12	2.4
2038	30	MLB MLE	SF	68%	522	467	113	19	5	14	46	122	4	11	4	241	315	392	707	152	293	23	9	315	99	-0	+1	+3	+6	+11	2.1
2039	31	MLB MLE	SF	68%	504	451	106	18	4	13	44	120	4	9	4	237	310	383	693	146	291	24	9	309	95	-3	+0	+2	+5	+11	1.6
2040	32	MLB MLE	SF	67%	482	433	101	17	4	12	42	117	4	8	5	232	305	370	675	139	287	24	9	302	90	-5	-0	+1	+5	+10	1.1
2041	33	MLB MLE	SF	67%	447	403	90	14	4	10	38	111	3	7	7	225	297	356	653	130	283	25	9	293	84	-8	-1	+0	+5	+10	0.5
2042	34	MLB MLE	SF	63%	390	353	77	12	3	8	32	100	2	5	10	218	288	338	626	121	277	26	8	282	77	-11	-3	-1	+4	+8	-0.2
2028	20	MLB CTX	SF	53%	120	107	24	4	1	2	11	28	1	3	1	233	308	364	672	131	290	23	9	301	94	-1	+0	+1	+1	+3	0.4
2029	21	MLB CTX	SF	68%	234	209	49	9	2	5	21	54	2	7	2	237	312	377	689	140	291	23	9	308	99	-0	+1	+2	+3	+5	1.0
2030	22	MLB CTX	SF	73%	314	280	68	12	3	8	28	71	3	9	2	239	315	386	702	147	292	23	9	313	102	+1	+1	+3	+3	+7	1.5
2031	23	MLB CTX	SF	75%	362	323	78	14	4	9	32	82	4	10	3	241	317	393	710	151	292	23	9	316	105	+2	+1	+3	+4	+8	1.8
2032	24	MLB CTX	SF	74%	384	343	84	15	4	10	34	86	4	11	3	243	319	397	716	154	293	22	9	319	106	+3	+1	+4	+4	+8	2.1
2033	25	MLB CTX	SF	73%	398	355	87	15	4	11	36	89	4	11	3	243	319	399	719	156	293	22	9	320	107	+3	+1	+4	+4	+9	2.2
2034	26	MLB CTX	SF	73%	405	362	88	15	4	11	36	91	4	11	3	244	320	400	720	156	293	22	9	320	107	+3	+1	+4	+4	+9	2.2
2035	27	MLB CTX	SF	72%	397	354	86	15	4	11	36	90	4	10	3	243	319	398	716	155	292	23	9	319	106	+3	+1	+4	+4	+9	2.1
2036	28	MLB CTX	SF	71%	389	347	84	15	4	10	35	89	4	10	3	241	317	393	710	152	292	23	9	316	105	+2	+1	+3	+4	+8	1.9
2037	29	MLB CTX	SF	69%	370	331	79	14	3	10	33	85	3	8	3	239	314	388	702	149	291	23	9	313	102	+1	+0	+3	+4	+8	1.6
2038	30	MLB CTX	SF	68%	356	318	75	13	3	9	32	83	3	8	3	236	311	381	692	145	289	23	9	309	99	-0	+0	+2	+4	+8	1.4
2039	31	MLB CTX	SF	68%	341	305	71	12	3	8	30	81	3	6	3	232	306	372	678	139	287	24	9	303	95	-2	+0	+2	+4	+7	1.1
2040	32	MLB CTX	SF	67%	325	292	66	11	3	7	28	79	2	5	4	227	301	360	661	133	283	24	9	296	90	-4	-1	+1	+3	+7	0.7
2041	33	MLB CTX	SF	67%	301	270	59	10	2	6	26	75	2	5	5	221	293	346	639	125	279	25	9	288	84	-6	-1	+0	+3	+7	0.3
2042	34	MLB CTX	SF	63%	245	221	47	7	2	5	20	63	2	3	7	214	285	329	614	115	273	26	8	277	77	-7	-2	-1	+3	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4941	4417	1045	181	46	122	438	1146	45	117	48	237	312	381	693	145	291	23	9	310	99	-1	+4	+35	+53	+107	20.2
/ 162G	—	A+C		—	650	581	138	24	6	16	58	151	6	15	6	238	314	382	696	145	292	23	9	310	99	-0	+1	+5	+7	+14	2.7
Career	—	MLE		—	7748	6926	1668	281	77	198	693	1806	64	224	78	241	316	389	705	149	296	23	9	314	99	-7	+7	+50	+78	+157	29.1
/ 162G	—	MLE		—	650	581	140	24	6	17	58	152	5	19	7	241	315	391	706	150	296	23	9	314	99	-1	+1	+4	+7	+14	2.6

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.

2026 ASan Jose Giants · 153 PAwOBA .433 → .387 (−46)K% 19.6% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.61%	÷1.000	×1.360	—	—	26.67%
BB% (unintentional) /PA	13.73%	÷1.000	×0.690	—	×1.045	9.90%
HBP% /PA	0.65%	—	×0.780	—	×1.045	0.53%
Singles /BIP	31.31%	÷1.000	×0.920	×1.050	×1.045	31.61%
Doubles /BIP	6.06%	÷1.000	×0.830	×1.050	×1.045	5.52%
Triples /BIP	6.06%	÷1.000	×0.910	×1.050	×1.045	6.05%
Home runs /BIP	3.03%	÷1.000	×0.800	—	×1.045	2.53%

Factors used: level-wide A 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 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .433 → .387; ISO .209 → .188; BABIP .439 → .434. 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).

2026 ROKACL Giants · 122 PAwOBA .422 → .320 (−102)K% 20.5% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.49%	÷1.000	×1.440	—	—	29.51%
BB% (unintentional) /PA	16.39%	÷1.000	×0.620	—	×1.008	10.24%
HBP% /PA	0.82%	—	×0.720	—	×1.008	0.59%
Singles /BIP	31.08%	÷1.000	×0.820	×1.050	×1.008	26.96%
Doubles /BIP	9.46%	÷1.000	×0.720	×1.050	×1.008	7.20%
Triples /BIP	2.70%	÷1.000	×0.720	×1.050	×1.008	2.06%
Home runs /BIP	2.70%	÷1.000	×0.780	—	×1.008	2.12%

Factors used: level-wide ROK 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 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .422 → .320; ISO .172 → .130; BABIP .432 → .360. 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 Black · 228 PAwOBA .375 → .247 (−128)K% 15.8% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷1.007	×1.220	—	—	19.14%
BB% (unintentional) /PA	16.23%	÷1.075	×0.700	—	×1.008	10.64%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	23.23%	÷1.014	×0.680	×1.026	×1.008	16.09%
Doubles /BIP	6.45%	÷1.014	×0.600	×1.026	×1.008	3.95%
Triples /BIP	3.23%	÷0.974	×0.600	×1.026	×1.008	2.05%
Home runs /BIP	2.58%	÷1.022	×0.470	—	×1.008	1.20%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 103, 2B 103, 3B 95, K 101, BB 115 — 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 ×1.026.

Result: wOBA .375 → .247; ISO .168 → .098; BABIP .338 → .224. 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
#1Jose Valentin'92-'07 * career totals — 15 seasons, 6,317 PA	9.5	6,317	249	136	233*	309*	433*	+53	+78	31.1	27.3
/162	664	26	14	+5.6	+8.2	3.3	pk7: 24
#2Gene Alley'63-'73 * career totals — 11 seasons, 4,332 PA	6.5	4,332	55	63	254*	314*	386*	+42	+84	22.6	21.9
/162	664	8	10	+6.4	+12.9	3.5	pk7: 21
#3Freddy Galvislast yr '21 career totals — 10 seasons, 4,238 PA	6.4	4,238	109	57	246	292	387	+42	+68	18.0	17.6
/162	664	17	9	+6.6	+10.6	2.8	pk7: 17
#4Ivan de Jesus'74-'88 * career totals — 10 seasons, 5,193 PA	7.8	5,193	21	194	248*	320*	350*	+55	+68	16.1	16.8
/162	664	3	25	+7.0	+8.7	2.1	pk7: 18
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.5	4,957	134	117	242	313	395	+51	+48	19.3	16.2
/162	664	18	16	+6.9	+6.4	2.6	pk7: 13
#5Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#6Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12

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
Josuar Gonzalez (OGILVIE)	19	—	—	—	—	229/302/353	123	292	3	4	24%	9%	87	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ricky Cabrera 2024 · A	19	48→44	40→45	57→60	43	224/310/324	99	311	7	18	28%	7%	84	+0.1	216/282/315	99	309	8	12	31%	6%	71	-0.8	213/277/319	106	299	10	14	30%	5%	67	-0.8
✕Alen Hanson 2013 · A	20	49→53	46→50	56→60	45	241/296/389	148	299	11	20	23%	7%	92	+0.7	244/285/377	133	308	10	22	23%	5%	84	+0.2	253/288/390	138	302	12	30	20%	4%	87	+0.3
●Royce Lewis 2018 · A	19	46→51	41→60	55→50	47	222/293/320	98	273	8	16	21%	7%	76	-0.4	223/272/331	108	291	10	16	26%	6%	70	-0.9	262/323/475	213	304	29	14	24%	8%	123	+1.4
●Evan Carter 2022 · A	19	47→55	43→50	52→55	56	220/331/337	117	299	9	18	27%	12%	95	+0.9	240/325/389	149	310	14	20	25%	10%	103	+1.6	241/329/398	157	310	15	21	25%	10%	104	+1.1
●Aaron Hicks 2009 · A	19	48→56	42→60	55	47	232/291/342	110	296	8	12	24%	8%	79	-0.2	221/297/329	108	307	7	12	27%	10%	79	-0.2	245/355/445	200	277	25	11	21%	14%	128	+2.3
✕Aron Estrada 2024 · A	19	47→54	41→50	52→55	54	220/310/327	107	272	6	9	20%	10%	84	+0.2	247/301/365	118	304	11	21	22%	6%	88	+0.5	258/306/387	130	312	14	21	21%	5%	93	+0.7
✕Edwin Arroyo 2023 · A	19	48→58	47→45	55→50	40	230/290/370	140	327	13	14	32%	6%	86	+0.3	233/286/359	126	312	10	16	27%	6%	82	-0.0	244/294/361	117	313	9	15	24%	5%	83	+0.1
✕Pedro Ramírez 2023 · A	19	50→57	40→45	53→55	44	237/287/335	98	286	6	14	19%	5%	76	-0.4	245/302/345	100	311	7	14	22%	7%	84	+0.1	265/318/375	110	323	9	22	20%	6%	95	+0.8
✕Luke Adams 2023 · A	19	50→39	41→50	55	45	232/308/333	101	332	7	18	30%	8%	84	+0.2	200/335/326	126	277	12	20	29%	12%	95	+1.0	200/355/358	159	246	17	19	24%	12%	108	+1.1
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
●Bryan Rincon 2023 · A	19	42→47	45	53→55	45	210/280/332	122	276	12	11	28%	8%	74	-0.6	194/285/295	101	272	9	22	29%	10%	68	-1.0	192/290/337	145	263	17	31	32%	11%	77	-0.2
●Xavier Edwards 2019 · A	19	53→63	37→40	56→60	50	245/308/320	75	309	3	18	21%	8%	80	-0.2	257/303/319	62	306	1	19	15%	6%	77	-0.3	308/366/390	82	353	4	36	13%	8%	116	+2.2
✕Addison Russell 2013 · A	19	55→52	47→55	59→50	43	262/316/407	145	351	12	16	28%	7%	103	+1.6	243/307/405	162	320	16	12	28%	7%	101	+1.4	236/301/401	165	290	19	5	25%	7%	99	+1.1
✕Leo Rivas 2018 · A	20	47→56	37→40	56→65	55	217/314/292	75	284	3	19	23%	11%	78	-0.3	191/275/274	83	293	5	10	33%	10%	59	-1.7	244/357/336	92	322	8	44	24%	14%	103	+1.0
✕Walker Jenkins 2024 · A	19	53	45→50	53→55	45	257/305/391	134	308	11	11	20%	6%	95	+1.0	245/323/376	131	300	11	17	21%	9%	99	+1.3	248/332/390	141	301	14	20	21%	10%	103	+1.0
✕Juan Brito 2021 · A	19	45→50	39→50	53→45	49	213/277/301	88	254	6	13	18%	7%	65	-1.2	229/306/349	120	287	11	10	22%	9%	87	+0.4	231/317/370	139	276	13	9	20%	10%	94	+0.8
●Eduardo Quintero 2024 · A	18	46→54	40→45	58→60	53	216/306/324	108	273	5	19	21%	10%	82	-0.0	225/320/342	117	312	9	25	28%	11%	91	+0.7	231/334/361	130	321	12	30	28%	12%	99	+1.0
●Jurickson Profar 2012 · A	19	51→55	46→55	53→50	51	245/315/399	154	285	10	14	18%	8%	101	+1.4	242/307/374	132	286	11	11	19%	8%	93	+0.8	259/353/423	164	286	18	7	16%	11%	123	+2.7
✕Kevyn Castillo 2024 · A	19	49→46	38→50	54→55	53	227/310/317	91	295	4	19	23%	10%	81	-0.1	232/306/336	104	327	8	14	29%	9%	84	+0.1	232/311/351	119	315	11	14	28%	9%	86	+0.2
●Josue De Paula 2024 · A	19	52→54	38→50	51→55	52	242/326/327	85	316	5	14	23%	10%	89	+0.5	236/331/360	124	307	12	20	25%	12%	99	+1.3	241/338/391	150	298	16	24	23%	12%	106	+1.5

Josuar Gonzalez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps