Julian Leon

PosC

B/TR/R

Born1996-01-24

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

INTLPROSPECT

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	27	INTLMexico	69	.170/.353/.302	2	0	97	—
2024	28	INTLAguilas de Me…	105	.205/.320/.284	1	0	77	—
2025	29	INTLAguilas de Me…	142	.189/.331/.270	2	1	74	—

Contract

No contract data on file.

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)
2013	17	ROK	AZL Dodgers	—	94	81	20	3	1	3	7	21	3	0	1	247	330	420	749	173	283	22	7	325	53	—	—	—	—	—	—
2014	18	ROK	Ogden Raptors	—	264	223	74	14	1	12	31	53	6	1	1	332	427	565	992	233	383	20	12	429	102	—	—	—	—	—	—
2015	19	A	Great Lakes Loons	—	340	309	62	15	0	5	23	106	7	0	1	201	271	298	569	97	288	31	7	261	19	—	—	—	—	—	—
2016	20	A+	Rancho Cucamonga Quakes	—	237	220	49	12	0	8	13	87	3	0	1	223	275	386	662	164	325	37	5	294	27	—	—	—	—	—	—
2016	20	INTL	Naranjeros de Hermosillo	—	65	60	9	1	0	1	4	16	1	0	0	150	215	217	432	67	186	25	6	203	24	—	—	—	—	—	—
2017	21	A+	Inland Empire 66ers	—	53	46	9	1	0	1	6	18	0	0	0	196	288	283	571	87	286	34	11	262	26	—	—	—	—	—	—
2017	21	A	Burlington Bees	—	184	161	49	14	0	5	17	41	5	0	0	304	388	484	872	180	379	22	9	386	84	—	—	—	—	—	—
2017	21	INTL	Naranjeros de Hermosillo	—	32	28	7	1	0	0	3	10	1	0	0	250	344	286	629	36	389	31	9	298	88	—	—	—	—	—	—
2018	22	AAA	Salt Lake Bees	—	16	11	2	1	0	0	4	5	1	0	1	182	438	273	710	91	333	31	25	357	72	—	—	—	—	—	—
2018	22	A+	Inland Empire 66ers	—	255	201	44	8	0	11	40	70	9	0	1	219	372	423	795	204	264	27	16	354	83	—	—	—	—	—	—
2018	22	INTL	Naranjeros de Hermosillo	—	23	18	3	0	0	1	3	9	2	0	0	167	348	333	681	167	250	39	13	324	105	—	—	—	—	—	—
2019	23	AA	Mobile BayBears	—	261	213	38	10	0	5	37	89	7	0	0	178	319	296	615	117	270	34	14	287	30	—	—	—	—	—	—
2019	23	INTL	Naranjeros de Hermosillo	—	220	178	43	12	0	9	28	61	13	0	0	242	384	461	844	219	312	28	13	378	142	—	—	—	—	—	—
2020	24	INTL	Mexico	—	104	83	16	2	0	2	15	34	4	0	0	193	343	289	632	96	286	33	14	298	88	—	—	—	—	—	—
2021	25	INTL	Naranjeros de Hermosillo	—	149	127	25	4	0	0	14	39	6	1	0	197	306	228	534	31	278	26	9	257	60	—	—	—	—	—	—
2022	26	INTL	Naranjeros de Hermosillo	—	80	70	13	4	0	2	7	23	3	0	0	186	287	329	616	143	244	29	9	284	78	—	—	—	—	—	—
2023	27	INTL	Mexico	—	69	53	9	1	0	2	10	22	5	0	2	170	353	302	655	132	233	32	14	312	97	—	—	—	—	—	—
2024	28	INTL	Aguilas de Mexicali	—	105	88	18	4	0	1	11	40	4	0	0	205	320	284	604	80	362	38	10	282	77	—	—	—	—	—	—
2025	29	INTL	Aguilas de Mexicali	—	142	111	21	3	0	2	18	39	6	1	0	189	331	270	601	81	268	27	13	278	74	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	17	ROK MLE	AZL Dodgers	—	94	83	16	2	1	2	5	30	3	0	1	193	264	313	577	120	233	32	5	247	53	—	—	—	—	—	—
2014	18	ROK MLE	Ogden Raptors	—	264	235	59	10	1	9	19	76	6	1	1	251	323	417	740	166	318	29	7	319	102	—	—	—	—	—	—
2015	19	A MLE	Great Lakes Loons	—	340	316	49	11	0	4	16	139	7	0	1	155	212	228	440	73	254	41	5	196	19	—	—	—	—	—	—
2016	20	A+ MLE	Rancho Cucamonga Quakes	—	237	224	36	9	0	6	9	119	3	0	1	161	203	281	485	121	287	50	4	208	27	—	—	—	—	—	—
2017	21	A+ MLE	Inland Empire 66ers	—	53	48	8	1	0	1	4	25	0	0	0	167	231	250	481	83	276	47	8	207	26	—	—	—	—	—	—
2017	21	A MLE	Burlington Bees	—	184	165	38	9	0	3	13	56	5	0	0	230	306	339	645	109	328	30	7	293	84	—	—	—	—	—	—
2018	22	AAA MLE	Salt Lake Bees	—	16	12	2	1	0	0	3	6	1	0	1	167	375	250	625	83	284	38	19	274	72	—	—	—	—	—	—
2018	22	A+ MLE	Inland Empire 66ers	—	255	212	38	6	0	10	29	90	9	0	1	179	304	349	653	170	228	35	11	291	83	—	—	—	—	—	—
2019	23	AA MLE	Mobile BayBears	—	261	225	30	8	0	4	25	114	7	0	0	133	241	222	463	89	225	44	10	213	30	—	—	—	—	—	—
2013	17	ROK MLE	AZL Dodgers	—	94	83	16	2	1	2	5	30	3	0	1	193	264	313	577	120	259	32	5	247	53	—	—	—	—	—	—
2013	17	ROK RAW	AZL Dodgers	—	94	81	20	3	1	3	7	21	3	0	1	247	330	420	749	173	283	22	7	325	53	—	—	—	—	—	—
2014	18	ROK MLE	Ogden Raptors	—	264	235	59	10	1	9	19	76	6	1	1	251	323	417	740	166	325	29	7	319	102	—	—	—	—	—	—
2014	18	ROK RAW	Ogden Raptors	—	264	223	74	14	1	12	31	53	6	1	1	332	427	565	992	233	383	20	12	429	102	—	—	—	—	—	—
2015	19	A MLE	Great Lakes Loons	—	340	316	49	11	0	4	16	139	7	0	1	155	212	228	440	73	260	41	5	196	19	—	—	—	—	—	—
2015	19	A RAW	Great Lakes Loons	—	340	309	62	15	0	5	23	106	7	0	1	201	271	298	569	97	288	31	7	261	19	—	—	—	—	—	—
2016	20	A+ MLE	2 teams	—	302	285	45	11	0	8	12	152	4	0	1	158	203	281	483	123	294	50	4	208	27	—	—	—	—	—	—
2016	20	A+ RAW	2 teams	—	302	280	58	13	0	9	17	103	4	0	1	207	262	350	612	143	290	34	6	274	27	—	—	—	—	—	—
2017	21	A MLE	3 teams	—	269	241	53	11	0	5	20	92	6	0	0	220	296	328	624	108	329	34	7	274	71	—	—	—	—	—	—
2017	21	A RAW	3 teams	—	269	235	65	16	0	6	26	69	6	0	0	277	363	421	785	145	364	26	10	351	71	—	—	—	—	—	—
2018	22	A+ MLE	3 teams	—	294	242	43	7	0	11	35	104	12	0	2	178	311	343	654	165	242	35	12	290	82	—	—	—	—	—	—
2018	22	A+ RAW	3 teams	—	294	230	49	9	0	12	47	84	12	0	2	213	374	409	782	196	266	29	16	352	82	—	—	—	—	—	—
2019	23	AA MLE	2 teams	—	481	409	55	15	0	7	47	209	20	0	0	134	256	222	479	88	244	43	10	213	30	—	—	—	—	—	—
2019	23	AA RAW	2 teams	—	481	391	81	22	0	14	65	150	20	0	0	207	349	371	720	164	290	31	14	329	30	—	—	—	—	—	—
2020	24	INTL MLE	Mexico	—	104	83	16	2	0	2	15	34	4	0	0	193	343	289	632	96	286	33	14	—	—	—	—	—	—	—	—
2020	24	INTL RAW	Mexico	—	104	83	16	2	0	2	15	34	4	0	0	193	343	289	632	96	286	33	14	298	88	—	—	—	—	—	—
2021	25	INTL MLE	Naranjeros de Hermosillo	—	149	127	25	4	0	0	14	39	6	1	0	197	306	228	534	31	278	26	9	—	—	—	—	—	—	—	—
2021	25	INTL RAW	Naranjeros de Hermosillo	—	149	127	25	4	0	0	14	39	6	1	0	197	306	228	534	31	278	26	9	257	60	—	—	—	—	—	—
2022	26	INTL MLE	Naranjeros de Hermosillo	—	80	70	13	4	0	2	7	23	3	0	0	186	287	329	616	143	244	29	9	—	—	—	—	—	—	—	—
2022	26	INTL RAW	Naranjeros de Hermosillo	—	80	70	13	4	0	2	7	23	3	0	0	186	287	329	616	143	244	29	9	284	78	—	—	—	—	—	—
2023	27	INTL MLE	Mexico	—	69	53	9	1	0	2	10	22	5	0	2	170	353	302	655	132	233	32	14	—	—	—	—	—	—	—	—
2023	27	INTL RAW	Mexico	—	69	53	9	1	0	2	10	22	5	0	2	170	353	302	655	132	233	32	14	312	97	—	—	—	—	—	—
2024	28	INTL MLE	Aguilas de Mexicali	—	105	88	18	4	0	1	11	40	4	0	0	205	320	284	604	80	362	38	10	—	—	—	—	—	—	—	—
2024	28	INTL RAW	Aguilas de Mexicali	—	105	88	18	4	0	1	11	40	4	0	0	205	320	284	604	80	362	38	10	282	77	—	—	—	—	—	—
2025	29	INTL MLE	Aguilas de Mexicali	—	142	111	21	3	0	2	18	39	6	1	0	189	331	270	601	81	268	27	13	—	—	—	—	—	—	—	—
2025	29	INTL RAW	Aguilas de Mexicali	—	142	111	21	3	0	2	18	39	6	1	0	189	331	270	601	81	268	27	13	278	74	—	—	—	—	—	—
2013	17	ROK MLE	AZL Dodgers	—	94	86	16	2	1	2	5	30	3	0	1	186	264	302	566	116	233	32	5	247	53	—	—	—	—	—	—
2014	18	ROK MLE	Ogden Raptors	—	264	237	59	10	1	9	19	76	6	1	1	249	323	414	737	165	318	29	7	319	102	—	—	—	—	—	—
2015	19	A MLE	Great Lakes Loons	—	340	314	49	11	0	4	16	139	7	0	1	156	212	229	442	73	254	41	5	196	19	—	—	—	—	—	—
2016	20	A+ MLE	2 teams	—	302	283	45	11	0	8	12	152	4	0	1	159	203	283	485	124	287	50	4	208	27	—	—	—	—	—	—
2017	21	A MLE	3 teams	—	269	241	53	11	0	5	20	92	6	0	0	220	296	328	624	108	316	34	7	274	71	—	—	—	—	—	—
2018	22	A+ MLE	3 teams	—	294	245	43	7	0	11	35	104	12	0	2	176	311	339	650	163	231	35	12	290	82	—	—	—	—	—	—
2019	23	AA MLE	2 teams	—	481	411	55	15	0	7	47	209	20	0	0	134	256	221	478	88	225	43	10	213	30	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2693	2343	422	85	2	55	229	999	86	3	8	180	277	289	566	108	279	37	9	185	11	-284	-3	+0	+48	+58	-18.4
/ 162G	—	MLE		—	650	566	102	21	0	13	55	241	21	1	2	180	277	286	563	106	280	37	8	185	11	-69	-1	+0	+12	+14	-4.4

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.

2019 AAMobile BayBears · 261 PAwOBA .284 → .213 (−71)K% 34.1% → 43.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.10%	÷0.956	×1.220	—	—	43.53%
BB% (unintentional) /PA	14.18%	÷1.020	×0.680	—	×1.027	9.71%
HBP% /PA	2.68%	—	×0.840	—	×1.027	2.31%
Singles /BIP	18.55%	÷1.066	×0.920	×0.950	×1.027	15.62%
Doubles /BIP	8.06%	÷1.054	×0.910	×0.950	×1.027	6.79%
Triples /BIP	0.00%	÷0.902	×0.880	×0.950	×1.027	0.00%
Home runs /BIP	4.03%	÷1.050	×0.800	—	×1.027	3.16%

Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 113, 2B 111, 3B 80, K 91, BB 104 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .284 → .213; ISO .117 → .089; BABIP .270 → .225. 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).

2018 A+Inland Empire 66ers · 255 PAwOBA .352 → .291 (−61)K% 27.5% → 35.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.45%	÷1.044	×1.340	—	—	35.25%
BB% (unintentional) /PA	15.69%	÷0.986	×0.710	—	×1.012	11.44%
HBP% /PA	3.53%	—	×0.790	—	×1.012	2.82%
Singles /BIP	19.08%	÷0.977	×0.910	×0.965	×1.012	17.37%
Doubles /BIP	6.11%	÷1.087	×0.820	×0.965	×1.012	4.50%
Triples /BIP	0.00%	÷0.978	×0.760	×0.965	×1.012	0.00%
Home runs /BIP	8.40%	÷0.978	×0.920	—	×1.012	7.99%

Factors used: league row CAL. Park (home-season share, regressed): HR 96, 1B 95, 2B 117, 3B 96, K 109, BB 97 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .352 → .291; ISO .204 → .182; BABIP .264 → .228. 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).

2018 AAASalt Lake Bees · 16 PAwOBA .350 → .274 (−76)K% 31.2% → 40.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.25%	÷1.003	×1.290	—	—	40.20%
BB% (unintentional) /PA	25.00%	÷1.068	×0.710	—	×1.050	17.44%
HBP% /PA	6.25%	—	×0.980	—	×1.050	6.43%
Singles /BIP	16.67%	÷1.064	×0.900	—	×1.050	14.80%
Doubles /BIP	16.67%	÷1.045	×0.810	—	×1.050	13.56%
Triples /BIP	0.00%	÷0.969	×0.810	—	×1.050	0.00%
Home runs /BIP	0.00%	÷0.958	×0.780	—	×1.050	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 113, 2B 109, 3B 94, K 101, BB 114 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average).

Result: wOBA .350 → .274; ISO .091 → .071; BABIP .333 → .284. 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).

2017 ABurlington Bees · 184 PAwOBA .378 → .293 (−86)K% 22.3% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.28%	÷0.998	×1.360	—	—	30.38%
BB% (unintentional) /PA	9.24%	÷0.884	×0.690	—	×1.015	7.32%
HBP% /PA	2.72%	—	×0.780	—	×1.015	2.15%
Singles /BIP	25.00%	÷0.960	×0.920	×0.980	×1.015	23.83%
Doubles /BIP	11.67%	÷1.166	×0.830	×0.980	×1.015	8.26%
Triples /BIP	0.00%	÷0.900	×0.910	×0.980	×1.015	0.00%
Home runs /BIP	4.17%	÷1.105	×0.800	—	×1.015	3.06%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 92, 2B 133, 3B 80, K 100, BB 77 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .378 → .293; ISO .180 → .120; BABIP .379 → .328. 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).

2017 A+Inland Empire 66ers · 53 PAwOBA .261 → .207 (−54)K% 34.0% → 46.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.96%	÷0.975	×1.340	—	—	46.69%
BB% (unintentional) /PA	11.32%	÷1.003	×0.710	—	×1.027	8.23%
HBP% /PA	0.00%	—	×0.790	—	×1.027	0.00%
Singles /BIP	25.00%	÷0.955	×0.910	—	×1.027	24.46%
Doubles /BIP	3.57%	÷0.891	×0.820	—	×1.027	3.38%
Triples /BIP	0.00%	÷1.150	×0.760	—	×1.027	0.00%
Home runs /BIP	3.57%	÷1.008	×0.920	—	×1.027	3.35%

Factors used: league row CAL. Park (home-season share, regressed): HR 102, 1B 91, 2B 78, 3B 130, K 95, BB 101 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .261 → .207; ISO .087 → .070; BABIP .286 → .276. 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).

2016 A+Rancho Cucamonga Quakes · 237 PAwOBA .287 → .208 (−79)K% 36.7% → 50.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.71%	÷0.979	×1.340	—	—	50.23%
BB% (unintentional) /PA	5.49%	÷1.046	×0.710	—	×1.042	3.88%
HBP% /PA	1.27%	—	×0.790	—	×1.042	1.04%
Singles /BIP	21.80%	÷1.043	×0.910	×0.975	×1.042	19.34%
Doubles /BIP	9.02%	÷0.938	×0.820	×0.975	×1.042	8.01%
Triples /BIP	0.00%	÷1.142	×0.760	×0.975	×1.042	0.00%
Home runs /BIP	6.02%	÷1.003	×0.920	—	×1.042	5.75%

Factors used: league row CAL. Park (home-season share, regressed): HR 101, 1B 109, 2B 88, 3B 128, K 96, BB 109 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .287 → .208; ISO .164 → .122; BABIP .325 → .287. 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).

2015 AGreat Lakes Loons · 340 PAwOBA .255 → .196 (−58)K% 31.2% → 40.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.18%	÷1.039	×1.360	—	—	40.80%
BB% (unintentional) /PA	6.76%	÷1.028	×0.690	—	×1.045	4.75%
HBP% /PA	2.06%	—	×0.780	—	×1.045	1.68%
Singles /BIP	20.69%	÷1.028	×0.920	×0.971	×1.045	18.79%
Doubles /BIP	7.39%	÷1.026	×0.830	×0.971	×1.045	6.06%
Triples /BIP	0.00%	÷0.978	×0.910	×0.971	×1.045	0.00%
Home runs /BIP	2.46%	÷0.894	×0.800	—	×1.045	2.30%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 106, 2B 105, 3B 96, K 108, BB 106 — 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 ×0.971.

Result: wOBA .255 → .196; ISO .097 → .075; BABIP .288 → .254. 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).

2014 ROKOgden Raptors · 264 PAwOBA .424 → .319 (−104)K% 20.1% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.08%	÷1.000	×1.440	—	—	28.91%
BB% (unintentional) /PA	11.74%	÷1.000	×0.610	—	×1.022	7.32%
HBP% /PA	2.27%	—	×0.720	—	×1.022	1.67%
Singles /BIP	27.65%	÷1.000	×0.820	×1.039	×1.022	24.08%
Doubles /BIP	8.24%	÷1.000	×0.720	×1.039	×1.022	6.30%
Triples /BIP	0.59%	÷1.000	×0.720	×1.039	×1.022	0.45%
Home runs /BIP	7.06%	÷1.000	×0.750	—	×1.022	5.41%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .424 → .319; ISO .233 → .172; BABIP .383 → .318. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .