Leo German

PosCF

B/TR/R

Born1993-01-10

Age (2027)34

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	30	INTLVenados de Ma…	129	.182/.286/.236	0	5	52	—
2024	31	INTLVenados de Ma…	58	.231/.286/.346	1	2	72	—
2025	32	INTLVenados de Ma…	156	.181/.242/.290	2	2	43	—

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.

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	20	AAA	Sultanes de Monterrey	—	63	57	14	2	1	1	2	17	2	3	2	246	295	368	664	123	325	27	3	289	59	—	—	—	—	—	—
2014	21	AAA	Sultanes de Monterrey	—	112	99	24	3	0	2	6	20	4	4	1	242	312	333	645	91	282	18	5	289	64	—	—	—	—	—	—
2014	21	INTL	Aguilas de Mexicali	—	44	38	6	0	0	0	5	11	0	0	0	158	256	158	414		214	25	11	203	23	—	—	—	—	—	—
2015	22	AAA	Sultanes de Monterrey	—	100	85	17	1	1	1	8	19	3	7	1	200	292	271	562	71	242	19	8	254	51	—	—	—	—	—	—
2015	22	INTL	Aguilas de Mexicali	—	188	171	47	5	2	0	7	43	3	8	9	275	315	327	642	53	364	23	4	282	77	—	—	—	—	—	—
2016	23	AAA	Sultanes de Monterrey	—	155	142	45	9	3	3	7	31	2	13	1	317	358	486	844	169	389	20	5	362	105	—	—	—	—	—	—
2016	23	INTL	Aguilas de Mexicali	—	56	49	8	0	0	0	5	18	1	1	1	163	255	163	418		258	32	9	205	25	—	—	—	—	—	—
2017	24	AAA	Sultanes de Monterrey	—	395	358	111	16	1	0	20	76	5	23	9	310	355	360	715	50	391	19	5	316	91	—	—	—	—	—	—
2017	24	INTL	Aguilas de Mexicali	—	134	125	41	7	3	0	6	25	1	3	4	328	364	432	796	104	406	19	4	349	123	—	—	—	—	—	—
2018	25	INTL	Aguilas de Mexicali	—	46	45	8	1	0	0	0	14	0	0	1	178	178	200	378	22	258	30	0	166	-2	—	—	—	—	—	—
2019	26	AAA	Tecos de los Dos Laredos	—	420	379	122	20	3	10	27	75	6	7	16	322	376	470	846	148	380	18	6	369	94	—	—	—	—	—	—
2019	26	INTL	Algodoneros de Guasave	—	168	156	35	3	3	1	9	41	2	8	6	224	275	301	577	77	298	24	5	261	63	—	—	—	—	—	—
2020	27	INTL	Algodoneros de Guasave	—	213	189	48	4	2	4	14	51	5	6	4	254	322	360	682	106	324	24	7	303	91	—	—	—	—	—	—
2021	28	INTL	Venados de Mazatlan	—	273	233	69	14	2	1	24	45	2	7	5	296	367	386	753	90	358	16	9	324	106	—	—	—	—	—	—
2022	29	INTL	Venados de Mazatlan	—	194	173	34	0	2	2	12	35	6	9	4	197	272	254	527	58	234	18	6	244	51	—	—	—	—	—	—
2023	30	INTL	Venados de Mazatlan	—	129	110	20	4	1	0	14	21	2	5	4	182	286	236	522	55	222	16	11	245	52	—	—	—	—	—	—
2024	31	INTL	Venados de Mazatlan	—	58	52	12	3	0	1	4	13	0	2	0	231	286	346	632	115	289	22	7	275	72	—	—	—	—	—	—
2025	32	INTL	Venados de Mazatlan	—	156	138	25	7	1	2	9	22	2	2	1	181	242	290	531	109	198	14	6	231	43	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	20	AAA MLE	Sultanes de Monterrey	—	63	57	14	2	1	1	2	20	2	3	2	246	295	368	664	123	304	32	3	255	59	—	—	—	—	—	—
2014	21	AAA MLE	Sultanes de Monterrey	—	112	101	24	3	0	2	4	25	4	4	1	238	294	327	620	89	279	22	4	263	64	—	—	—	—	—	—
2015	22	AAA MLE	Sultanes de Monterrey	—	100	87	18	1	1	1	6	22	3	7	1	207	281	276	557	69	249	22	6	243	51	—	—	—	—	—	—
2016	23	AAA MLE	Sultanes de Monterrey	—	155	145	42	8	3	2	4	39	2	13	1	290	318	428	745	138	381	25	3	324	105	—	—	—	—	—	—
2017	24	AAA MLE	Sultanes de Monterrey	—	395	365	114	15	1	0	13	96	5	23	9	312	345	359	704	47	401	24	3	302	91	—	—	—	—	—	—
2019	26	AAA MLE	Tecos de los Dos Laredos	—	420	388	109	15	2	8	18	91	6	7	16	281	323	392	715	111	339	22	4	307	94	—	—	—	—	—	—
2013	20	AAA MLE	Sultanes de Monterrey	—	63	57	14	2	1	1	2	20	2	3	2	246	295	368	664	123	351	32	3	255	59	—	—	—	—	—	—
2013	20	AAA RAW	Sultanes de Monterrey	—	63	57	14	2	1	1	2	17	2	3	2	246	295	368	664	123	325	27	3	289	59	—	—	—	—	—	—
2014	21	AAA MLE	2 teams	—	156	142	33	4	0	2	6	35	4	4	1	232	283	303	586	70	290	22	4	263	64	—	—	—	—	—	—
2014	21	AAA RAW	2 teams	—	156	137	30	3	0	2	11	31	4	4	1	219	296	285	581	66	264	20	7	264	64	—	—	—	—	—	—
2015	22	INTL MLE	2 teams	—	288	254	52	3	3	2	17	63	6	15	10	205	271	264	535	59	262	22	6	243	51	—	—	—	—	—	—
2015	22	INTL RAW	2 teams	—	288	256	64	6	3	1	15	62	6	15	10	250	307	309	615	59	323	22	5	272	51	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	211	197	59	11	5	3	6	53	3	14	2	299	330	452	782	152	397	25	3	324	105	—	—	—	—	—	—
2016	23	AAA RAW	2 teams	—	211	191	53	9	3	3	12	49	3	14	2	277	330	403	733	126	360	23	6	320	105	—	—	—	—	—	—
2017	24	AAA MLE	2 teams	—	529	492	152	20	1	0	17	129	6	26	13	309	340	354	693	45	415	24	3	302	91	—	—	—	—	—	—
2017	24	AAA RAW	2 teams	—	529	483	152	23	4	0	26	101	6	26	13	315	357	379	736	64	395	19	5	325	91	—	—	—	—	—	—
2018	25	INTL MLE	Aguilas de Mexicali	—	46	45	8	1	0	0	0	14	0	0	1	178	178	200	378	22	258	30	0	—	—	—	—	—	—	—	—
2018	25	INTL RAW	Aguilas de Mexicali	—	46	45	8	1	0	0	0	14	0	0	1	178	178	200	378	22	258	30	0	166	-2	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	588	546	153	21	3	11	25	127	8	15	22	280	321	390	711	110	347	22	4	307	94	—	—	—	—	—	—
2019	26	AAA RAW	2 teams	—	588	535	157	23	6	11	36	116	8	15	22	293	347	421	768	127	357	20	6	338	94	—	—	—	—	—	—
2020	27	INTL MLE	Algodoneros de Guasave	—	213	189	48	4	2	4	14	51	5	6	4	254	322	360	682	106	324	24	7	—	—	—	—	—	—	—	—
2020	27	INTL RAW	Algodoneros de Guasave	—	213	189	48	4	2	4	14	51	5	6	4	254	322	360	682	106	324	24	7	303	91	—	—	—	—	—	—
2021	28	INTL MLE	Venados de Mazatlan	—	273	233	69	14	2	1	24	45	2	7	5	296	367	386	753	90	358	16	9	—	—	—	—	—	—	—	—
2021	28	INTL RAW	Venados de Mazatlan	—	273	233	69	14	2	1	24	45	2	7	5	296	367	386	753	90	358	16	9	324	106	—	—	—	—	—	—
2022	29	INTL MLE	Venados de Mazatlan	—	194	173	34	0	2	2	12	35	6	9	4	197	272	254	527	58	234	18	6	—	—	—	—	—	—	—	—
2022	29	INTL RAW	Venados de Mazatlan	—	194	173	34	0	2	2	12	35	6	9	4	197	272	254	527	58	234	18	6	244	51	—	—	—	—	—	—
2023	30	INTL MLE	Venados de Mazatlan	—	129	110	20	4	1	0	14	21	2	5	4	182	286	236	522	55	222	16	11	—	—	—	—	—	—	—	—
2023	30	INTL RAW	Venados de Mazatlan	—	129	110	20	4	1	0	14	21	2	5	4	182	286	236	522	55	222	16	11	245	52	—	—	—	—	—	—
2024	31	INTL MLE	Venados de Mazatlan	—	58	52	12	3	0	1	4	13	0	2	0	231	286	346	632	115	289	22	7	—	—	—	—	—	—	—	—
2024	31	INTL RAW	Venados de Mazatlan	—	58	52	12	3	0	1	4	13	0	2	0	231	286	346	632	115	289	22	7	275	72	—	—	—	—	—	—
2025	32	INTL MLE	Venados de Mazatlan	—	156	138	25	7	1	2	9	22	2	2	1	181	242	290	531	109	198	14	6	—	—	—	—	—	—	—	—
2025	32	INTL RAW	Venados de Mazatlan	—	156	138	25	7	1	2	9	22	2	2	1	181	242	290	531	109	198	14	6	231	43	—	—	—	—	—	—
2013	20	AAA MLE	Sultanes de Monterrey	—	63	59	14	2	1	1	2	20	2	3	2	237	295	356	651	119	304	32	3	255	59	—	—	—	—	—	—
2014	21	AAA MLE	2 teams	—	156	145	33	4	0	2	6	35	4	4	1	228	283	297	579	69	279	22	4	263	64	—	—	—	—	—	—
2015	22	INTL MLE	2 teams	—	288	263	52	3	3	2	17	63	6	15	10	198	271	255	526	57	249	22	6	243	51	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	211	200	59	11	5	3	6	53	3	14	2	295	330	445	775	150	381	25	3	324	105	—	—	—	—	—	—
2017	24	AAA MLE	2 teams	—	529	501	152	20	1	0	17	129	6	26	13	303	340	347	687	44	401	24	3	302	91	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	588	550	153	21	3	11	25	127	8	15	22	278	321	387	709	109	339	22	4	307	94	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2904	2628	679	94	21	29	150	628	46	108	69	258	310	343	653	85	327	22	5	184	11	-308	-6	+0	+10	+63	-24.5
/ 162G	—	MLE		—	650	588	152	21	5	6	34	141	10	24	15	259	310	342	652	83	328	22	5	184	11	-69	-1	+0	+2	+14	-5.5

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.

2019 AAATecos de los Dos Laredos · 420 PAwOBA .359 → .307 (−53)K% 17.9% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.86%	÷0.994	×1.200	—	—	21.56%
BB% (unintentional) /PA	6.19%	÷1.019	×0.690	—	×1.018	4.27%
HBP% /PA	1.43%	—	×0.940	—	×1.018	1.37%
Singles /BIP	29.28%	÷0.956	×0.930	×0.950	×1.018	27.56%
Doubles /BIP	6.58%	÷1.103	×0.830	×0.950	×1.018	4.79%
Triples /BIP	0.99%	÷1.150	×0.920	×0.950	×1.018	0.76%
Home runs /BIP	3.29%	÷0.919	×0.700	—	×1.018	2.55%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 91, 2B 120, 3B 130, K 99, BB 104 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .359 → .307; ISO .148 → .113; BABIP .380 → .339. 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 AAASultanes de Monterrey · 395 PAwOBA .308 → .302 (−7)K% 19.2% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.24%	÷0.946	×1.200	—	—	24.40%
BB% (unintentional) /PA	4.81%	÷1.060	×0.690	—	×1.048	3.28%
HBP% /PA	1.27%	—	×0.940	—	×1.048	1.25%
Singles /BIP	33.33%	÷0.978	×0.930	×1.050	×1.048	34.89%
Doubles /BIP	5.67%	÷0.992	×0.830	×1.050	×1.048	5.22%
Triples /BIP	0.35%	÷1.150	×0.920	×1.050	×1.048	0.31%
Home runs /BIP	0.00%	÷1.043	×0.700	—	×1.048	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 96, 2B 98, 3B 130, K 89, BB 112 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .308 → .302; ISO .050 → .046; BABIP .391 → .401. 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 AAASultanes de Monterrey · 155 PAwOBA .352 → .324 (−29)K% 20.0% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.961	×1.200	—	—	24.97%
BB% (unintentional) /PA	4.52%	÷1.118	×0.690	—	×1.050	2.93%
HBP% /PA	1.29%	—	×0.940	—	×1.050	1.27%
Singles /BIP	27.03%	÷1.036	×0.930	×1.050	×1.050	26.74%
Doubles /BIP	8.11%	÷0.979	×0.830	×1.050	×1.050	7.58%
Triples /BIP	2.70%	÷0.900	×0.920	×1.050	×1.050	3.05%
Home runs /BIP	2.70%	÷1.051	×0.700	—	×1.050	1.89%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 107, 2B 96, 3B 80, K 92, BB 124 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .352 → .324; ISO .169 → .149; BABIP .389 → .381. 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 AAASultanes de Monterrey · 100 PAwOBA .251 → .243 (−8)K% 19.0% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.00%	÷1.042	×1.200	—	—	21.87%
BB% (unintentional) /PA	8.00%	÷0.964	×0.690	—	×1.050	6.01%
HBP% /PA	3.00%	—	×0.940	—	×1.050	2.96%
Singles /BIP	21.21%	÷0.977	×0.930	×1.050	×1.050	22.25%
Doubles /BIP	1.52%	÷1.018	×0.830	×1.050	×1.050	1.36%
Triples /BIP	1.52%	÷1.150	×0.920	×1.050	×1.050	1.34%
Home runs /BIP	1.52%	÷0.986	×0.700	—	×1.050	1.13%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 97, 1B 95, 2B 104, 3B 130, K 108, BB 93 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .251 → .243; ISO .071 → .060; BABIP .242 → .249. 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 AAASultanes de Monterrey · 112 PAwOBA .284 → .263 (−20)K% 17.9% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.86%	÷0.961	×1.200	—	—	22.29%
BB% (unintentional) /PA	5.36%	÷1.030	×0.690	—	×1.050	3.77%
HBP% /PA	3.57%	—	×0.940	—	×1.050	3.52%
Singles /BIP	24.05%	÷0.999	×0.930	×1.029	×1.050	24.20%
Doubles /BIP	3.80%	÷0.963	×0.830	×1.029	×1.050	3.54%
Triples /BIP	0.00%	÷0.900	×0.920	×1.029	×1.050	0.00%
Home runs /BIP	2.53%	÷0.917	×0.700	—	×1.050	2.03%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 100, 2B 93, 3B 80, K 92, BB 106 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .284 → .263; ISO .091 → .077; BABIP .282 → .279. 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).

2013 AAASultanes de Monterrey · 63 PAwOBA .285 → .255 (−31)K% 27.0% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.98%	÷1.039	×1.200	—	—	31.16%
BB% (unintentional) /PA	3.17%	÷0.952	×0.690	—	×1.050	2.41%
HBP% /PA	3.17%	—	×0.940	—	×1.050	3.13%
Singles /BIP	25.00%	÷0.991	×0.930	—	×1.050	24.64%
Doubles /BIP	5.00%	÷1.140	×0.830	—	×1.050	3.82%
Triples /BIP	2.50%	÷1.150	×0.920	—	×1.050	2.10%
Home runs /BIP	2.50%	÷1.011	×0.700	—	×1.050	1.82%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 98, 2B 128, 3B 130, K 108, BB 90 — applied at half strength. Age: age 20 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (7.2 yr younger than average).

Result: wOBA .285 → .255; ISO .123 → .094; BABIP .325 → .304. 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 — .