Carlos Torres

PosCF

B/TR/R

Born1992-10-01

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

ALAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	21	ROKJohnson City …	177	.218/.259/.285	1	2	4	—	.167/.195/.220
2015	22	ROKGCL Cardinals	114	.235/.304/.373	2	3	19	—	.142/.188/.208
2016	23	A/ROK2 orgs	222	.264/.301/.332	1	2	39	—	.218/.246/.275

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)
2011	18	ROK	DSL Cardinals	—	65	57	13	3	0	1	7	9	1	1	0	228	323	333	656	105	255	14	11	303	19	—	—	—	—	—	—
2012	19	ROK	DSL Cardinals	—	283	229	59	9	1	1	37	45	11	11	4	258	386	319	705	61	315	16	13	327	34	—	—	—	—	—	—
2013	20	ROK	GCL Cardinals	—	162	147	33	3	1	4	10	35	1	6	3	224	278	340	619	116	261	22	6	272	17	—	—	—	—	—	—
2014	21	ROK	Johnson City Cardinals	—	177	165	36	6	1	1	8	34	1	2	3	218	259	285	543	67	265	19	5	243	4	—	—	—	—	—	—
2015	22	ROK	GCL Cardinals	—	114	102	24	4	2	2	9	24	1	3	1	235	304	373	676	137	282	21	8	298	19	—	—	—	—	—	—
2016	23	A	Peoria Chiefs	—	196	183	49	9	1	1	9	33	2	1	3	268	309	344	654	77	322	17	5	293	46	—	—	—	—	—	—
2016	23	ROK	Johnson City Cardinals	—	26	25	6	0	0	0	0	7	0	1	0	240	240	240	480		316	27	0	209	-12	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	18	ROK MLE	DSL Cardinals	—	65	59	8	2	0	0	5	11	1	1	0	136	215	169	385	34	174	17	8	197	19	—	—	—	—	—	—
2012	19	ROK MLE	DSL Cardinals	—	283	241	41	6	1	0	25	55	11	11	4	170	278	203	481	33	205	19	9	219	34	—	—	—	—	—	—
2013	20	ROK MLE	GCL Cardinals	—	162	151	25	2	1	3	6	50	1	6	3	166	203	252	454	86	206	31	4	193	17	—	—	—	—	—	—
2014	21	ROK MLE	Johnson City Cardinals	—	177	168	28	4	1	1	5	48	1	2	3	167	195	220	416	54	211	27	3	174	4	—	—	—	—	—	—
2015	22	ROK MLE	GCL Cardinals	—	114	106	15	2	1	1	5	35	1	3	1	142	188	208	395	66	204	31	4	197	19	—	—	—	—	—	—
2016	23	A MLE	Peoria Chiefs	—	196	186	42	7	1	1	6	44	2	1	3	226	258	290	548	65	285	22	3	236	46	—	—	—	—	—	—
2016	23	ROK MLE	Johnson City Cardinals	—	26	25	4	0	0	0	0	10	0	1	0	160	160	160	320		252	38	0	151	-12	—	—	—	—	—	—
2011	18	ROK MLE	DSL Cardinals	—	65	59	8	2	0	0	5	11	1	1	0	136	215	169	385	34	167	17	8	197	19	—	—	—	—	—	—
2011	18	ROK RAW	DSL Cardinals	—	65	57	13	3	0	1	7	9	1	1	0	228	323	333	656	105	255	14	11	303	19	—	—	—	—	—	—
2012	19	ROK MLE	DSL Cardinals	—	283	241	41	6	1	0	25	55	11	11	4	170	278	203	481	33	219	19	9	219	34	—	—	—	—	—	—
2012	19	ROK RAW	DSL Cardinals	—	283	229	59	9	1	1	37	45	11	11	4	258	386	319	705	61	315	16	13	327	34	—	—	—	—	—	—
2013	20	ROK MLE	GCL Cardinals	—	162	151	25	2	1	3	6	50	1	6	3	166	203	252	454	86	218	31	4	193	17	—	—	—	—	—	—
2013	20	ROK RAW	GCL Cardinals	—	162	147	33	3	1	4	10	35	1	6	3	224	278	340	619	116	261	22	6	272	17	—	—	—	—	—	—
2014	21	ROK MLE	Johnson City Cardinals	—	177	168	28	4	1	1	5	48	1	2	3	167	195	220	416	54	223	27	3	174	4	—	—	—	—	—	—
2014	21	ROK RAW	Johnson City Cardinals	—	177	165	36	6	1	1	8	34	1	2	3	218	259	285	543	67	265	19	5	243	4	—	—	—	—	—	—
2015	22	ROK MLE	GCL Cardinals	—	114	106	15	2	1	1	5	35	1	3	1	142	188	208	395	66	194	31	4	197	19	—	—	—	—	—	—
2015	22	ROK RAW	GCL Cardinals	—	114	102	24	4	2	2	9	24	1	3	1	235	304	373	676	137	282	21	8	298	19	—	—	—	—	—	—
2016	23	A MLE	2 teams	—	222	211	46	7	1	1	6	53	2	2	3	218	247	275	521	57	285	24	3	226	39	—	—	—	—	—	—
2016	23	A RAW	2 teams	—	222	208	55	9	1	1	9	40	2	2	3	264	301	332	633	67	321	18	4	283	39	—	—	—	—	—	—
2011	18	ROK MLE	DSL Cardinals	—	65	59	8	2	0	0	5	11	1	1	0	136	215	169	385	34	174	17	8	197	19	—	—	—	—	—	—
2012	19	ROK MLE	DSL Cardinals	—	283	245	41	6	1	0	25	55	11	11	4	167	278	200	478	33	205	19	9	219	34	—	—	—	—	—	—
2013	20	ROK MLE	GCL Cardinals	—	162	154	25	2	1	3	6	50	1	6	3	162	203	247	449	84	206	31	4	193	17	—	—	—	—	—	—
2014	21	ROK MLE	Johnson City Cardinals	—	177	169	28	4	1	1	5	48	1	2	3	166	195	219	414	53	211	27	3	174	4	—	—	—	—	—	—
2015	22	ROK MLE	GCL Cardinals	—	114	107	15	2	1	1	5	35	1	3	1	140	188	206	393	65	204	31	4	197	19	—	—	—	—	—	—
2016	23	A MLE	2 teams	—	222	212	46	7	1	1	6	53	2	2	3	217	247	274	520	57	281	24	3	226	39	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1023	936	163	23	5	6	52	252	17	25	14	174	231	229	459	54	229	25	5	205	25	-92	-1	+0	+4	+22	-6.8
/ 162G	—	MLE		—	650	595	104	15	3	4	33	160	11	16	9	175	232	230	462	55	229	25	5	205	25	-58	-0	+0	+2	+14	-4.3

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.

2016 APeoria Chiefs · 196 PAwOBA .285 → .236 (−49)K% 16.8% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.84%	÷1.033	×1.360	—	—	22.16%
BB% (unintentional) /PA	4.59%	÷0.938	×0.690	—	×0.980	3.31%
HBP% /PA	1.02%	—	×0.780	—	×0.980	0.78%
Singles /BIP	25.33%	÷0.999	×0.920	×1.003	×0.980	22.93%
Doubles /BIP	6.00%	÷1.000	×0.830	×1.003	×0.980	4.90%
Triples /BIP	0.67%	÷1.029	×0.910	×1.003	×0.980	0.58%
Home runs /BIP	0.67%	÷1.066	×0.800	—	×0.980	0.49%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 100, 2B 100, 3B 106, K 107, BB 88 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .285 → .236; ISO .077 → .059; BABIP .322 → .285. 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 ROKJohnson City Cardinals · 26 PAwOBA .211 → .151 (−60)K% 26.9% → 38.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.92%	÷1.000	×1.420	—	—	38.23%
BB% (unintentional) /PA	0.00%	÷1.000	×0.640	—	×0.955	0.00%
HBP% /PA	0.00%	—	×0.740	—	×0.955	0.00%
Singles /BIP	33.33%	÷1.000	×0.840	—	×0.955	26.74%
Doubles /BIP	0.00%	÷1.000	×0.740	—	×0.955	0.00%
Triples /BIP	0.00%	÷1.000	×0.740	—	×0.955	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×0.955	0.00%

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 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .211 → .151; ISO .000 → .000; BABIP .316 → .252. 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 ROKGCL Cardinals · 114 PAwOBA .296 → .197 (−99)K% 21.1% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷1.000	×1.440	—	—	30.32%
BB% (unintentional) /PA	7.89%	÷1.000	×0.620	—	×0.965	4.72%
HBP% /PA	0.88%	—	×0.720	—	×0.965	0.61%
Singles /BIP	20.51%	÷1.000	×0.820	×0.951	×0.965	15.44%
Doubles /BIP	5.13%	÷1.000	×0.720	×0.951	×0.965	3.39%
Triples /BIP	2.56%	÷1.000	×0.720	×0.951	×0.965	1.69%
Home runs /BIP	2.56%	÷1.000	×0.780	—	×0.965	1.93%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.

Result: wOBA .296 → .197; ISO .137 → .090; BABIP .282 → .204. 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 ROKJohnson City Cardinals · 177 PAwOBA .240 → .174 (−65)K% 19.2% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.21%	÷1.000	×1.420	—	—	27.28%
BB% (unintentional) /PA	4.52%	÷1.000	×0.640	—	×0.975	2.82%
HBP% /PA	0.56%	—	×0.740	—	×0.975	0.41%
Singles /BIP	21.37%	÷1.000	×0.840	×0.999	×0.975	17.49%
Doubles /BIP	4.58%	÷1.000	×0.740	×0.999	×0.975	3.30%
Triples /BIP	0.76%	÷1.000	×0.740	×0.999	×0.975	0.55%
Home runs /BIP	0.76%	÷1.000	×0.800	—	×0.975	0.60%

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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .240 → .174; ISO .067 → .046; BABIP .265 → .211. 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 ROKGCL Cardinals · 162 PAwOBA .270 → .193 (−77)K% 21.6% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.60%	÷1.000	×1.440	—	—	31.11%
BB% (unintentional) /PA	6.17%	÷1.000	×0.620	—	×0.985	3.77%
HBP% /PA	0.62%	—	×0.720	—	×0.985	0.44%
Singles /BIP	22.32%	÷1.000	×0.820	×1.004	×0.985	18.09%
Doubles /BIP	2.68%	÷1.000	×0.720	×1.004	×0.985	1.91%
Triples /BIP	0.89%	÷1.000	×0.720	×1.004	×0.985	0.64%
Home runs /BIP	3.57%	÷1.000	×0.780	—	×0.985	2.74%

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 ×1.004.

Result: wOBA .270 → .193; ISO .116 → .081; BABIP .261 → .206. 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).

2012 DSLDSL Cardinals · 283 PAwOBA .320 → .219 (−101)K% 15.9% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.90%	÷1.000	×1.220	—	—	19.40%
BB% (unintentional) /PA	12.72%	÷1.000	×0.700	—	×0.985	8.77%
HBP% /PA	3.89%	—	×0.700	—	×0.985	2.68%
Singles /BIP	26.09%	÷1.000	×0.680	×0.995	×0.985	17.39%
Doubles /BIP	4.89%	÷1.000	×0.600	×0.995	×0.985	2.88%
Triples /BIP	0.54%	÷1.000	×0.600	×0.995	×0.985	0.32%
Home runs /BIP	0.54%	÷1.000	×0.470	—	×0.985	0.25%

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 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 ×0.995.

Result: wOBA .320 → .219; ISO .061 → .037; BABIP .315 → .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).

2011 DSLDSL Cardinals · 65 PAwOBA .296 → .197 (−98)K% 13.8% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.85%	÷1.000	×1.220	—	—	16.89%
BB% (unintentional) /PA	10.77%	÷1.000	×0.700	—	×0.995	7.50%
HBP% /PA	1.54%	—	×0.700	—	×0.995	1.07%
Singles /BIP	18.75%	÷1.000	×0.680	×1.047	×0.995	13.28%
Doubles /BIP	6.25%	÷1.000	×0.600	×1.047	×0.995	3.91%
Triples /BIP	0.00%	÷1.000	×0.600	×1.047	×0.995	0.00%
Home runs /BIP	2.08%	÷1.000	×0.470	—	×0.995	0.97%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.047.

Result: wOBA .296 → .197; ISO .105 → .058; BABIP .255 → .174. 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).