Carlos Herrera

PosSS

B/TL/R

Born1996-09-23

Age (2027)30

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	24	AA/A+/INTL2 orgs	367	.253/.294/.398	7	18	47	—	.203/.236/.317
2022	25	INTLAguilas del Z…	100	.320/.340/.381	0	1	106	—
2023	26	INTLBravos de Mar…	37	.278/.278/.278	0	1	52	—

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)
2014	17	ROK	DSL Rockies	—	160	139	32	7	0	0	11	25	1	6	4	230	291	281	572	50	278	16	7	250	2	—	—	—	—	—	—
2015	18	ROK	DSL Rockies	—	57	53	18	2	0	0	2	11	2	10	2	340	386	377	763	38	429	19	4	349	36	—	—	—	—	—	—
2016	19	A	Asheville Tourists	—	548	504	120	25	7	7	21	115	2	10	11	238	271	357	628	119	294	21	4	269	34	—	—	—	—	—	—
2016	19	INTL	Tiburones de La Guaira	—	20	18	3	0	0	0	2	3	0	1	0	167	250	167	417		200	15	10	206	25	—	—	—	—	—	—
2017	20	A	Asheville Tourists	—	282	256	57	7	3	4	14	46	3	17	6	223	271	320	591	98	256	16	5	259	32	—	—	—	—	—	—
2018	21	A+	Lancaster JetHawks	—	448	399	111	21	8	6	25	103	3	15	11	278	326	416	742	138	356	23	6	314	48	—	—	—	—	—	—
2018	21	INTL	Tiburones de La Guaira	—	35	31	7	0	0	0	2	12	0	1	1	226	273	226	499		350	34	6	221	36	—	—	—	—	—	—
2019	22	AA	Hartford Yard Goats	—	178	162	33	10	3	1	9	46	2	2	2	204	254	321	575	117	274	26	5	251	23	—	—	—	—	—	—
2019	22	A+	Lancaster JetHawks	—	256	233	61	13	0	10	16	61	2	9	4	262	315	446	761	185	305	24	6	330	43	—	—	—	—	—	—
2020	23	INTL	Tiburones de La Guaira	—	52	47	7	2	0	0	5	13	0	1	0	149	231	191	422	43	206	25	10	203	24	—	—	—	—	—	—
2021	24	AA	Rocket City Trash Pandas	—	60	55	11	2	0	2	3	11	2	4	0	200	267	345	612	145	214	18	5	277	33	—	—	—	—	—	—
2021	24	A+	Tri-City Dust Devils	—	291	275	75	23	2	5	10	71	3	14	2	273	306	425	731	153	348	24	3	320	54	—	—	—	—	—	—
2021	24	INTL	Tiburones de La Guaira	—	16	14	1	0	0	0	2	4	0	0	0	71	188	71	259		100	25	12	144	-17	—	—	—	—	—	—
2022	25	INTL	Aguilas del Zulia	—	100	97	31	6	0	0	2	17	1	1	0	320	340	381	721	62	388	17	2	325	106	—	—	—	—	—	—
2023	26	INTL	Bravos de Margarita	—	37	36	10	0	0	0	0	9	0	1	0	278	278	278	556		370	24	0	245	52	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	17	ROK MLE	DSL Rockies	—	160	142	22	4	0	0	8	31	1	6	4	155	205	183	388	28	184	19	5	171	2	—	—	—	—	—	—
2015	18	ROK MLE	DSL Rockies	—	57	54	12	1	0	0	1	13	2	10	2	222	263	241	504	19	286	23	2	222	36	—	—	—	—	—	—
2016	19	A MLE	Asheville Tourists	—	548	511	105	16	7	5	14	159	2	10	11	205	230	294	523	88	272	29	3	219	34	—	—	—	—	—	—
2017	20	A MLE	Asheville Tourists	—	282	260	51	6	3	3	10	61	3	17	6	196	234	277	511	81	232	22	4	215	32	—	—	—	—	—	—
2018	21	A+ MLE	Lancaster JetHawks	—	448	408	90	16	5	3	16	147	3	15	11	221	255	306	562	86	305	33	4	239	48	—	—	—	—	—	—
2019	22	AA MLE	Hartford Yard Goats	—	178	165	28	7	3	1	6	56	2	2	2	170	208	267	475	97	236	31	3	202	23	—	—	—	—	—	—
2019	22	A+ MLE	Lancaster JetHawks	—	256	238	44	9	0	7	11	86	2	9	4	185	227	311	538	126	238	34	4	232	43	—	—	—	—	—	—
2021	24	AA MLE	Rocket City Trash Pandas	—	60	56	9	2	0	1	2	13	2	4	0	161	217	250	467	89	198	22	3	217	33	—	—	—	—	—	—
2021	24	A+ MLE	Tri-City Dust Devils	—	291	278	59	19	1	4	7	93	3	14	2	212	240	331	571	119	300	32	2	248	54	—	—	—	—	—	—
2014	17	ROK MLE	DSL Rockies	—	160	142	22	4	0	0	8	31	1	6	4	155	205	183	388	28	196	19	5	171	2	—	—	—	—	—	—
2014	17	ROK RAW	DSL Rockies	—	160	139	32	7	0	0	11	25	1	6	4	230	291	281	572	50	278	16	7	250	2	—	—	—	—	—	—
2015	18	ROK MLE	DSL Rockies	—	57	54	12	1	0	0	1	13	2	10	2	222	263	241	504	19	293	23	2	222	36	—	—	—	—	—	—
2015	18	ROK RAW	DSL Rockies	—	57	53	18	2	0	0	2	11	2	10	2	340	386	377	763	38	429	19	4	349	36	—	—	—	—	—	—
2016	19	A MLE	2 teams	—	568	530	110	17	8	5	15	165	2	11	11	208	232	298	530	91	290	29	3	219	34	—	—	—	—	—	—
2016	19	A RAW	2 teams	—	568	522	123	25	7	7	23	118	2	11	11	236	271	351	621	115	291	21	4	267	34	—	—	—	—	—	—
2017	20	A MLE	Asheville Tourists	—	282	260	51	6	3	3	10	61	3	17	6	196	234	277	511	81	244	22	4	215	32	—	—	—	—	—	—
2017	20	A RAW	Asheville Tourists	—	282	256	57	7	3	4	14	46	3	17	6	223	271	320	591	98	256	16	5	259	32	—	—	—	—	—	—
2018	21	A+ MLE	2 teams	—	483	440	98	17	6	4	17	158	3	16	12	223	257	316	572	93	331	33	4	239	48	—	—	—	—	—	—
2018	21	A+ RAW	2 teams	—	483	430	118	21	8	6	27	115	3	16	12	274	322	402	724	128	356	24	6	308	48	—	—	—	—	—	—
2019	22	A+ MLE	2 teams	—	434	403	71	16	3	7	17	142	4	11	6	176	217	283	500	107	245	33	4	220	35	—	—	—	—	—	—
2019	22	A+ RAW	2 teams	—	434	395	94	23	3	11	25	107	4	11	6	238	290	395	685	157	292	25	6	298	35	—	—	—	—	—	—
2020	23	INTL MLE	Tiburones de La Guaira	—	52	47	7	2	0	0	5	13	0	1	0	149	231	191	422	43	206	25	10	—	—	—	—	—	—	—	—
2020	23	INTL RAW	Tiburones de La Guaira	—	52	47	7	2	0	0	5	13	0	1	0	149	231	191	422	43	206	25	10	203	24	—	—	—	—	—	—
2021	24	A+ MLE	3 teams	—	367	350	73	22	1	6	9	111	5	18	2	209	239	329	568	120	285	30	2	243	50	—	—	—	—	—	—
2021	24	A+ RAW	3 teams	—	367	344	87	25	2	7	15	86	5	18	2	253	294	398	692	145	316	23	4	305	50	—	—	—	—	—	—
2022	25	INTL MLE	Aguilas del Zulia	—	100	97	31	6	0	0	2	17	1	1	0	320	340	381	721	62	388	17	2	—	—	—	—	—	—	—	—
2022	25	INTL RAW	Aguilas del Zulia	—	100	97	31	6	0	0	2	17	1	1	0	320	340	381	721	62	388	17	2	325	106	—	—	—	—	—	—
2023	26	INTL MLE	Bravos de Margarita	—	37	36	10	0	0	0	0	9	0	1	0	278	278	278	556		370	24	0	—	—	—	—	—	—	—	—
2023	26	INTL RAW	Bravos de Margarita	—	37	36	10	0	0	0	0	9	0	1	0	278	278	278	556		370	24	0	245	52	—	—	—	—	—	—
2014	17	ROK MLE	DSL Rockies	—	160	150	22	4	0	0	8	31	1	6	4	147	205	173	379	27	184	19	5	171	2	—	—	—	—	—	—
2015	18	ROK MLE	DSL Rockies	—	57	54	12	1	0	0	1	13	2	10	2	222	263	241	504	19	286	23	2	222	36	—	—	—	—	—	—
2016	19	A MLE	2 teams	—	568	546	110	17	8	5	15	165	2	11	11	201	232	289	522	88	272	29	3	219	34	—	—	—	—	—	—
2017	20	A MLE	Asheville Tourists	—	282	267	51	6	3	3	10	61	3	17	6	191	234	270	504	79	232	22	4	215	32	—	—	—	—	—	—
2018	21	A+ MLE	2 teams	—	483	460	98	17	6	4	17	158	3	16	12	213	257	302	559	89	305	33	4	239	48	—	—	—	—	—	—
2019	22	A+ MLE	2 teams	—	434	410	71	16	3	7	17	142	4	11	6	173	217	278	495	105	237	33	4	220	35	—	—	—	—	—	—
2021	24	A+ MLE	3 teams	—	367	350	73	22	1	6	9	111	5	18	2	209	239	329	568	120	283	30	2	243	50	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2540	2359	485	91	21	25	84	720	21	92	43	206	239	294	533	88	282	28	3	207	26	-224	+1	+0	+27	+55	-14.3
/ 162G	—	MLE		—	650	604	123	23	5	6	21	184	5	24	11	204	237	288	525	84	279	28	3	207	26	-57	+0	+0	+7	+14	-3.7

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.

2021 A+Tri-City Dust Devils · 291 PAwOBA .313 → .248 (−65)K% 24.4% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.40%	÷1.028	×1.350	—	—	32.03%
BB% (unintentional) /PA	3.44%	÷1.047	×0.710	—	×0.978	2.28%
HBP% /PA	1.03%	—	×0.810	—	×0.978	0.82%
Singles /BIP	22.06%	÷1.069	×0.910	×1.022	×0.978	18.77%
Doubles /BIP	11.27%	÷0.913	×0.830	×1.022	×0.978	10.24%
Triples /BIP	0.98%	÷1.150	×0.820	×1.022	×0.978	0.70%
Home runs /BIP	2.45%	÷0.923	×0.830	—	×0.978	2.16%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 114, 2B 83, 3B 130, K 106, BB 109 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .313 → .248; ISO .153 → .124; BABIP .348 → .300. 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).

2021 AARocket City Trash Pandas · 60 PAwOBA .270 → .217 (−52)K% 18.3% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.33%	÷1.018	×1.220	—	—	21.97%
BB% (unintentional) /PA	5.00%	÷0.992	×0.690	—	×0.998	3.47%
HBP% /PA	3.33%	—	×0.850	—	×0.998	2.83%
Singles /BIP	15.91%	÷0.985	×0.940	×0.995	×0.998	15.08%
Doubles /BIP	4.55%	÷0.947	×0.870	×0.995	×0.998	4.15%
Triples /BIP	0.00%	÷1.150	×0.920	×0.995	×0.998	0.00%
Home runs /BIP	4.55%	÷1.249	×0.780	—	×0.998	2.83%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 150, 1B 97, 2B 89, 3B 130, K 104, BB 98 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .270 → .217; ISO .145 → .099; BABIP .214 → .198. 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).

2019 A+Lancaster JetHawks · 256 PAwOBA .326 → .232 (−94)K% 23.8% → 33.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.83%	÷0.950	×1.340	—	—	33.61%
BB% (unintentional) /PA	5.86%	÷0.935	×0.710	—	×0.998	4.44%
HBP% /PA	0.78%	—	×0.790	—	×0.998	0.62%
Singles /BIP	22.09%	÷1.079	×0.910	×0.950	×0.998	17.67%
Doubles /BIP	7.56%	÷1.001	×0.820	×0.950	×0.998	5.87%
Triples /BIP	0.00%	÷1.065	×0.760	×0.950	×0.998	0.00%
Home runs /BIP	5.81%	÷1.278	×0.920	—	×0.998	4.18%

Factors used: league row CAL. Park (home-season share, regressed): HR 156, 1B 116, 2B 100, 3B 113, K 90, BB 87 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .326 → .232; ISO .185 → .124; BABIP .305 → .238. 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).

2019 AAHartford Yard Goats · 178 PAwOBA .247 → .202 (−45)K% 25.8% → 31.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.84%	÷1.007	×1.220	—	—	31.31%
BB% (unintentional) /PA	5.06%	÷1.042	×0.700	—	×1.027	3.49%
HBP% /PA	1.12%	—	×0.850	—	×1.027	0.98%
Singles /BIP	16.38%	÷1.029	×0.970	×0.950	×1.027	15.07%
Doubles /BIP	8.62%	÷1.178	×0.860	×0.950	×1.027	6.14%
Triples /BIP	2.59%	÷0.900	×0.950	×0.950	×1.027	2.66%
Home runs /BIP	0.86%	÷1.190	×0.780	—	×1.027	0.58%

Factors used: league row EL. Park (home-season share, regressed): HR 138, 1B 106, 2B 136, 3B 80, K 101, BB 108 — 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 .247 → .202; ISO .117 → .093; BABIP .274 → .236. 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+Lancaster JetHawks · 448 PAwOBA .308 → .239 (−70)K% 23.0% → 32.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.99%	÷0.938	×1.340	—	—	32.84%
BB% (unintentional) /PA	5.36%	÷1.073	×0.710	—	×1.012	3.59%
HBP% /PA	0.67%	—	×0.790	—	×1.012	0.54%
Singles /BIP	25.68%	÷1.007	×0.910	×0.988	×1.012	23.19%
Doubles /BIP	7.09%	÷1.025	×0.820	×0.988	×1.012	5.68%
Triples /BIP	2.70%	÷1.130	×0.760	×0.988	×1.012	1.82%
Home runs /BIP	2.03%	÷1.531	×0.920	—	×1.012	1.23%

Factors used: league row CAL. Park (home-season share, regressed): HR 206, 1B 101, 2B 105, 3B 126, K 88, BB 115 — 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 ×0.988.

Result: wOBA .308 → .239; ISO .138 → .092; BABIP .356 → .305. 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 AAsheville Tourists · 282 PAwOBA .253 → .215 (−38)K% 16.3% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.31%	÷1.018	×1.340	—	—	21.47%
BB% (unintentional) /PA	4.96%	÷0.987	×0.660	—	×1.015	3.37%
HBP% /PA	1.06%	—	×0.770	—	×1.015	0.83%
Singles /BIP	20.48%	÷1.048	×0.920	×1.031	×1.015	18.80%
Doubles /BIP	3.33%	÷1.085	×0.820	×1.031	×1.015	2.63%
Triples /BIP	1.43%	÷0.900	×0.940	×1.031	×1.015	1.56%
Home runs /BIP	1.90%	÷1.243	×0.820	—	×1.015	1.28%

Factors used: league row SAL. Park (home-season share, regressed): HR 149, 1B 110, 2B 117, 3B 80, K 104, BB 97 — 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 ×1.031.

Result: wOBA .253 → .215; ISO .098 → .078; BABIP .256 → .232. 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 AAsheville Tourists · 548 PAwOBA .263 → .219 (−43)K% 21.0% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.99%	÷0.969	×1.340	—	—	29.02%
BB% (unintentional) /PA	3.83%	÷0.987	×0.660	—	×1.030	2.64%
HBP% /PA	0.36%	—	×0.770	—	×1.030	0.29%
Singles /BIP	20.82%	÷0.964	×0.920	×1.011	×1.030	20.69%
Doubles /BIP	6.43%	÷1.267	×0.820	×1.011	×1.030	4.33%
Triples /BIP	1.80%	÷0.900	×0.940	×1.011	×1.030	1.96%
Home runs /BIP	1.80%	÷1.232	×0.820	—	×1.030	1.23%

Factors used: league row SAL. Park (home-season share, regressed): HR 146, 1B 93, 2B 153, 3B 80, K 94, BB 97 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .263 → .219; ISO .119 → .088; BABIP .294 → .272. 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 DSLDSL Rockies · 57 PAwOBA .340 → .222 (−118)K% 19.3% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.30%	÷1.000	×1.220	—	—	23.54%
BB% (unintentional) /PA	3.51%	÷1.000	×0.700	—	×0.995	2.44%
HBP% /PA	3.51%	—	×0.700	—	×0.995	2.44%
Singles /BIP	38.10%	÷1.000	×0.680	—	×0.995	25.78%
Doubles /BIP	4.76%	÷1.000	×0.600	—	×0.995	2.84%
Triples /BIP	0.00%	÷1.000	×0.600	—	×0.995	0.00%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL 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 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .340 → .222; ISO .038 → .022; BABIP .429 → .286. 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 — .