Jose Gonzalez

OF ACL Dodgers

Age 22 L/R 6'2" / 180 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKDSL LAD Bauti…	149	.266/.459/.422	2	8	62	—	.165/.318/.248
2025	20	ROKDSL LAD Mega	177	.240/.454/.472	5	15	64	—	.138/.316/.246
2026	21	A/ROKLAD	198	.228/.381/.424	5	6	44	—	.146/.259/.279
2027PROJMLE	22	MLBLAD	308	.190/.280/.295	5	6	65	-0.2
2028PROJ34% MLB	23	MLBLAD	54	.191/.280/.302	1	1	69	-0.1

Next 2 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.0M2031Ext$0.0M2032Ext$0.0M2033Ext$0.9M2034Ext$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

ISO79

Chase%79

BB%74

wRC+62

Speed59

wOBA51

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsLoidel Chapelli (age 22) · Brian Pointer (age 22) · Eddinson Paulino (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 115 proj PA

wRC+†65

AVG/OBP/SLG.188 / .277 / .292

PA115

HR2

K%31

BB%10

ISO105

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 35 / POW 45

Toolsscout grade

CONTACT35

scouting grade only

POWER45

scouting grade only

EYE60

scouting grade only

SPEED60

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	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
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		$0.0M	+$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)
2023	18	ROK	DSL LAD Bautista	—	111	88	16	3	0	1	20	27	1	6	3	182	339	250	589	68	242	24	18	284	14	—	—	—	—	—	—
2024	19	ROK	DSL LAD Bautista	—	149	109	29	5	3	2	34	27	5	8	5	266	459	422	881	156	333	18	23	403	62	—	—	—	—	—	—
2025	20	ROK	DSL LAD Mega	—	177	125	30	8	3	5	43	41	6	15	2	240	454	472	926	232	305	23	24	410	64	—	—	—	—	—	—
2026	21	A	Ontario Tower Buzzers	—	19	18	4	0	1	1	1	7	0	1	0	222	263	500	763	278	300	37	5	326	38	—	—	—	—	—	—
2026	21	ROK	ACL Dodgers	—	179	140	32	8	3	4	34	55	4	5	4	229	393	414	808	186	341	31	19	366	45	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL LAD Bautista	—	111	94	10	2	0	0	14	33	1	6	3	106	229	128	357	21	155	30	13	189	14	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Bautista	—	149	121	20	3	2	1	22	33	5	8	5	165	318	248	566	83	205	22	15	260	62	—	—	—	—	—	—
2025	20	ROK MLE	DSL LAD Mega	—	177	138	19	5	2	2	30	52	6	15	2	138	316	246	562	109	178	29	17	263	64	—	—	—	—	—	—
2026	21	A MLE	Ontario Tower Buzzers	—	19	18	3	0	1	1	1	10	0	1	0	167	211	444	655	278	274	53	5	224	38	—	—	—	—	—	—
2026	21	ROK MLE	ACL Dodgers	—	179	153	22	5	2	3	21	79	4	5	4	144	264	261	525	118	257	44	12	235	45	—	—	—	—	—	—
2023	18	ROK MLE	DSL LAD Bautista	—	111	94	10	2	0	0	14	33	1	6	3	106	229	128	357	21	159	30	13	189	14	—	—	—	—	—	—
2023	18	ROK RAW	DSL LAD Bautista	—	111	88	16	3	0	1	20	27	1	6	3	182	339	250	589	68	242	24	18	284	14	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Bautista	—	149	121	20	3	2	1	22	33	5	8	5	165	318	248	566	83	216	22	15	260	62	—	—	—	—	—	—
2024	19	ROK RAW	DSL LAD Bautista	—	149	109	29	5	3	2	34	27	5	8	5	266	459	422	881	156	333	18	23	403	62	—	—	—	—	—	—
2025	20	ROK MLE	DSL LAD Mega	—	177	138	19	5	2	2	30	52	6	15	2	138	316	246	562	109	195	29	17	263	64	—	—	—	—	—	—
2025	20	ROK RAW	DSL LAD Mega	—	177	125	30	8	3	5	43	41	6	15	2	240	454	472	926	232	305	23	24	410	64	—	—	—	—	—	—
2026	21	ROK MLE	2 teams	—	198	172	25	5	3	3	21	89	4	6	4	145	254	262	515	116	272	45	11	234	44	—	—	—	—	—	—
2026	21	ROK RAW	2 teams	—	198	158	36	8	4	5	35	62	4	6	4	228	381	424	805	196	337	31	18	362	44	—	—	—	—	—	—
2023	18	ROK MLE	DSL LAD Bautista	—	111	95	10	2	0	0	14	33	1	6	3	105	229	126	356	21	155	30	13	189	14	—	—	—	—	—	—
2024	19	ROK MLE	DSL LAD Bautista	—	149	121	20	3	2	1	22	33	5	8	5	165	318	248	566	83	205	22	15	260	62	—	—	—	—	—	—
2025	20	ROK MLE	DSL LAD Mega	—	177	139	19	5	2	2	30	52	6	15	2	137	316	245	561	108	178	29	17	263	64	—	—	—	—	—	—
2026	21	ROK MLE	2 teams	—	198	171	25	5	3	3	21	89	4	6	4	146	254	263	517	117	259	45	11	234	44	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	DSL LAD Bautista	—	149	121	20	3	2	1	22	33	5	8	5	165	318	248	566	83	205	22	15	260	62	—	—	—	—	—	—
2025	20	ROK MLE	DSL LAD Mega	—	177	139	19	5	2	2	30	52	6	15	2	137	316	245	561	108	178	29	17	263	64	—	—	—	—	—	—
2026	21	ROK MLE	2 teams	—	198	171	25	5	3	3	21	89	4	6	4	146	254	263	517	117	259	45	11	234	44	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	LAD	0%	308	271	52	9	3	5	30	97	4	6	2	190	280	295	574	105	272	31	10	264	65	-13	+0	+0	-2	+7	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	LAD	34%	156	138	27	5	1	3	15	48	2	3	1	195	284	308	592	113	274	31	10	271	69	-6	+0	+0	-1	+3	-0.3
2028	23	MLB CTX	LAD	34%	54	48	9	2	0	1	5	17	1	1	0	191	280	302	582	110	267	31	9	267	69	-2	+0	+0	-0	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	54	48	9	2	0	1	5	17	1	1	0	188	278	292	569	104	267	31	9	267	54	-2	+0	+0	-0	+1	-0.1
/ 162G	—	A+C		—	650	578	108	24	0	12	60	205	12	12	0	187	277	291	568	104	266	32	9	267	54	-24	+2	+0	-4	+14	-1.1
Career	—	MLE		—	906	765	121	24	9	11	113	291	19	40	16	158	282	256	538	98	233	32	12	249	54	-11	+0	+0	-2	+6	-0.6
/ 162G	—	MLE		—	650	549	86	17	6	8	81	209	14	29	11	157	281	253	534	97	231	32	12	249	54	-25	+0	+0	-4	+14	-1.5

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 ROKACL Dodgers · 179 PAwOBA .360 → .235 (−124)K% 30.7% → 44.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.73%	÷1.000	×1.440	—	—	44.25%
BB% (unintentional) /PA	18.99%	÷1.000	×0.620	—	×0.985	11.60%
HBP% /PA	2.23%	—	×0.720	—	×0.985	1.58%
Singles /BIP	20.00%	÷1.000	×0.820	×0.990	×0.985	16.00%
Doubles /BIP	9.41%	÷1.000	×0.720	×0.990	×0.985	6.61%
Triples /BIP	3.53%	÷1.000	×0.720	×0.990	×0.985	2.48%
Home runs /BIP	4.71%	÷1.000	×0.780	—	×0.985	3.62%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .360 → .235; ISO .186 → .122; BABIP .341 → .257. 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 AOntario Tower Buzzers · 19 PAwOBA .317 → .224 (−93)K% 36.8% → 50.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.84%	÷1.000	×1.360	—	—	50.11%
BB% (unintentional) /PA	5.26%	÷1.000	×0.690	—	×1.015	3.69%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	18.18%	÷1.000	×0.920	—	×1.015	16.98%
Doubles /BIP	0.00%	÷1.000	×0.830	—	×1.015	0.00%
Triples /BIP	9.09%	÷1.000	×0.910	—	×1.015	8.40%
Home runs /BIP	9.09%	÷1.000	×0.800	—	×1.015	7.38%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average).

Result: wOBA .317 → .224; ISO .278 → .190; BABIP .300 → .274. 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 LAD Mega · 177 PAwOBA .408 → .263 (−146)K% 23.2% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.16%	÷0.957	×1.220	—	—	29.54%
BB% (unintentional) /PA	24.29%	÷1.000	×0.700	—	×0.985	16.75%
HBP% /PA	3.39%	—	×0.700	—	×0.985	2.34%
Singles /BIP	16.67%	÷0.985	×0.680	×0.950	×0.985	10.76%
Doubles /BIP	9.52%	÷1.050	×0.600	×0.950	×0.985	5.09%
Triples /BIP	3.57%	÷0.988	×0.600	×0.950	×0.985	2.03%
Home runs /BIP	5.95%	÷1.011	×0.470	—	×0.985	2.72%

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 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 ×0.950.

Result: wOBA .408 → .263; ISO .232 → .126; BABIP .305 → .178. 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 · 149 PAwOBA .395 → .260 (−135)K% 18.1% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.12%	÷0.994	×1.220	—	—	22.25%
BB% (unintentional) /PA	22.15%	÷1.051	×0.700	—	×0.995	14.68%
HBP% /PA	3.36%	—	×0.700	—	×0.995	2.34%
Singles /BIP	23.17%	÷0.998	×0.680	×0.958	×0.995	15.04%
Doubles /BIP	6.10%	÷0.963	×0.600	×0.958	×0.995	3.62%
Triples /BIP	3.66%	÷1.150	×0.600	×0.958	×0.995	1.82%
Home runs /BIP	2.44%	÷1.059	×0.470	—	×0.995	1.08%

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 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 ×0.958.

Result: wOBA .395 → .260; ISO .156 → .087; BABIP .333 → .205. 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 · 111 PAwOBA .283 → .189 (−93)K% 24.3% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.32%	÷0.999	×1.220	—	—	29.72%
BB% (unintentional) /PA	18.02%	÷0.980	×0.700	—	×1.008	12.96%
HBP% /PA	0.90%	—	×0.700	—	×1.008	0.64%
Singles /BIP	19.67%	÷1.003	×0.680	×0.967	×1.008	13.00%
Doubles /BIP	4.92%	÷0.990	×0.600	×0.967	×1.008	2.90%
Triples /BIP	0.00%	÷0.969	×0.600	×0.967	×1.008	0.00%
Home runs /BIP	1.64%	÷1.319	×0.470	—	×1.008	0.59%

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 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 ×0.967.

Result: wOBA .283 → .189; ISO .068 → .033; BABIP .242 → .155. 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).

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
Jose Gonzalez (OGILVIE)	22	35	45	60	60	188/277/292	104	272	2	2	31%	10%	65	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Loidel Chapelli 2024 · A	22	39→36	43→45	56→55	46	196/271/312	116	271	10	18	30%	8%	65	-1.2	196/259/284	88	300	7	17	34%	7%	54	-2.0	176/233/238	63	279	4	20	36%	6%	31	-2.0
✕Brian Pointer 2014 · A	22	39→41	42→45	51→50	40	189/265/296	107	289	9	13	36%	7%	61	-1.5	210/285/338	128	315	13	12	35%	8%	77	-0.3	209/287/345	136	311	14	12	35%	9%	76	-0.3
✕Eddinson Paulino 2024 · A	22	42	46→50	54→50	43	210/273/349	139	282	12	17	29%	7%	75	-0.5	202/261/322	120	278	12	13	30%	6%	64	-1.3	186/244/297	111	257	12	11	31%	6%	49	-1.3
✕Isaiah Greene 2024 · A	22	41→42	38→40	56→55	50	187/286/268	81	306	5	19	36%	12%	62	-1.4	198/272/294	96	312	7	14	35%	9%	62	-1.4	155/236/258	102	239	4	15	34%	10%	37	-0.6
✕Cole Roederer 2022 · A	22	42→33	40→45	50	44	200/275/295	95	300	7	13	34%	8%	63	-1.3	203/269/320	117	297	12	11	34%	7%	67	-1.1	183/257/295	112	268	12	11	34%	8%	56	-1.1
✕Kai Murphy 2023 · A	22	45→41	39→40	53→50	44	214/272/300	87	294	6	12	28%	7%	63	-1.4	209/271/293	84	302	6	10	31%	7%	61	-1.5	197/269/263	66	263	5	11	25%	8%	51	-1.3
✕Iverson Leonardo 2023 · A	21	37	44→45	49→50	40	186/254/299	114	273	12	9	35%	7%	57	-1.8	197/278/292	95	346	7	8	41%	8%	64	-1.3	149/272/225	76	351	3	4	50%	12%	46	-0.6
✕Wuilfredo Antunez 2024 · A	22	46→41	43→55	51→50	45	223/285/341	118	292	9	12	26%	7%	77	-0.3	212/261/361	149	283	14	14	29%	6%	73	-0.6	199/246/361	161	266	17	15	31%	5%	65	-0.8
✕Jacob Wetzel 2023 · A	23	39→34	43→45	50	47	194/280/301	107	268	12	10	30%	9%	68	-1.0	192/268/302	110	281	9	13	32%	9%	63	-1.4	180/256/297	117	269	7	16	33%	9%	55	-1.0
✕Ryan Aguilar 2017 · A	22	43→40	38→45	50	47	202/272/284	81	282	5	10	28%	9%	59	-1.6	181/248/257	76	283	6	7	35%	8%	45	-2.7	181/274/286	106	291	12	12	39%	10%	59	-1.1
✕Tavian Josenberger 2024 · A	22	47→37	38→45	52→65	49	218/295/297	79	313	5	15	30%	10%	71	-0.8	194/274/302	108	254	10	36	26%	10%	65	-1.2	179/267/286	107	233	11	44	27%	10%	57	-1.1
✕Tyler Callihan 2023 · A	23	43	42→45	53→55	42	213/262/322	108	277	9	14	26%	6%	63	-1.3	218/276/332	114	306	10	21	30%	7%	72	-0.7	213/281/334	121	303	14	24	32%	8%	71	-0.4
✕Daury Arias 2024 · A	22	38	40	50→45	48	188/270/276	88	252	8	9	27%	9%	58	-1.7	184/252/266	82	279	6	9	34%	7%	48	-2.5	118/186/167	49	192	4	10	38%	6%	-1	-2.0
✕Jonny Butler 2022 · A	23	43→33	40→50	51→55	43	207/268/296	89	302	7	9	32%	8%	61	-1.5	199/264/310	111	281	9	16	31%	7%	62	-1.4	179/252/293	114	245	10	19	30%	8%	52	-1.2
✕Nelson Medina 2023 · A	22	41	40→45	53→50	47	195/282/289	95	292	6	13	32%	10%	65	-1.2	176/236/261	85	335	6	13	46%	7%	40	-3.0	140/198/215	76	278	6	16	49%	6%	14	-1.7
✕River Town 2022 · A	23	43→38	37→40	54→50	43	202/278/275	73	283	3	12	28%	7%	61	-1.5	209/294/310	101	262	9	15	22%	8%	75	-0.5	204/297/299	95	251	9	15	21%	9%	72	-0.4
✕Gavin Cross 2024 · A	23	37→40	47→50	55	42	190/264/327	138	277	14	18	35%	8%	68	-1.0	203/255/336	133	283	15	23	32%	6%	65	-1.2	200/247/333	133	277	16	26	33%	5%	59	-1.3
✕Spencer Nivens 2024 · A	22	41→49	41→45	48→50	52	199/280/294	96	255	8	14	24%	10%	65	-1.2	208/277/334	126	276	13	11	28%	9%	73	-0.6	211/281/333	122	272	12	12	26%	9%	73	-0.5
✕Jake Fox 2024 · A	21	45→44	41→40	51→50	48	214/291/317	103	293	7	11	28%	9%	74	-0.5	206/285/303	97	281	6	12	26%	10%	69	-0.9	203/291/297	94	273	5	13	25%	11%	68	-0.5
✕Esteban González 2024 · A	21	43→45	41→45	56→55	41	205/280/306	101	298	7	18	31%	7%	68	-1.0	211/269/331	120	298	10	24	31%	6%	70	-0.9	203/264/330	127	285	12	27	31%	6%	65	-0.8