Carlos Soto

PosC

B/TL/R

Born1999-04-27

Age (2027)28

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	MLE AVG/OBP/SLG
2022	23	A+/INTL2 orgs	284	.223/.335/.345	4	0	67	—	.146/.239/.242
2023	24	INTLCaneros de lo…	141	.242/.345/.400	3	0	111	—
2025	26	INTLCaneros de lo…	128	.212/.339/.337	3	1	92	—

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)
2016	17	ROK	DSL Cardinals	—	127	99	30	6	0	1	25	17	1	0	0	303	448	394	842	91	349	13	20	384	64	—	—	—	—	—	—
2017	18	ROK	GCL Cardinals	—	125	113	27	2	0	0	11	20	1	0	0	239	312	257	569	18	290	16	9	269	20	—	—	—	—	—	—
2018	19	ROK	GCL Cardinals	—	166	138	35	9	0	5	21	35	3	0	1	254	364	428	792	174	294	21	13	348	54	—	—	—	—	—	—
2019	20	A	Peoria Chiefs	—	78	69	14	1	0	1	6	18	2	0	0	203	286	261	547	58	255	23	8	255	25	—	—	—	—	—	—
2019	20	INTL	Caneros de los Mochis	—	111	97	18	4	0	0	12	35	2	1	2	186	288	227	515	41	290	32	11	249	55	—	—	—	—	—	—
2020	21	INTL	Caneros de los Mochis	—	43	41	7	0	0	0	1	13	1	0	0	171	209	171	380		250	30	2	181	8	—	—	—	—	—	—
2021	22	A	Palm Beach Cardinals	—	322	264	60	15	2	8	52	73	3	0	1	227	361	390	751	163	280	23	16	339	63	—	—	—	—	—	—
2021	22	INTL	Sultanes de Monterrey	—	67	53	14	4	0	2	12	20	1	1	0	264	409	453	862	189	375	30	18	383	145	—	—	—	—	—	—
2022	23	A+	Peoria Chiefs	—	179	149	27	11	0	3	26	52	1	0	1	181	307	315	622	134	250	29	15	285	37	—	—	—	—	—	—
2022	23	INTL	Sultanes de Monterrey	—	105	89	26	6	0	1	11	20	2	0	0	292	382	393	776	101	362	19	10	344	119	—	—	—	—	—	—
2023	24	INTL	Caneros de los Mochis	—	141	120	29	8	1	3	18	23	1	0	0	242	345	400	745	158	271	16	13	332	111	—	—	—	—	—	—
2025	26	INTL	Caneros de los Mochis	—	128	104	22	4	0	3	19	17	1	1	0	212	339	337	675	125	218	13	15	304	92	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	17	ROK MLE	DSL Cardinals	—	127	106	21	4	0	1	18	21	1	0	0	198	320	264	584	66	224	17	14	263	64	—	—	—	—	—	—
2017	18	ROK MLE	GCL Cardinals	—	125	118	21	1	0	0	6	29	1	0	0	178	224	186	410	8	244	23	5	198	20	—	—	—	—	—	—
2018	19	ROK MLE	GCL Cardinals	—	166	146	26	6	0	4	13	50	3	0	1	178	259	301	561	123	222	30	8	248	54	—	—	—	—	—	—
2019	20	A MLE	Peoria Chiefs	—	78	72	13	1	0	1	3	24	2	0	0	181	234	236	470	56	238	31	4	205	25	—	—	—	—	—	—
2021	22	A MLE	Palm Beach Cardinals	—	322	283	52	12	2	7	33	96	3	0	1	184	276	314	590	131	240	30	10	262	63	—	—	—	—	—	—
2022	23	A+ MLE	Peoria Chiefs	—	179	157	23	9	0	2	18	62	1	0	1	146	239	242	481	96	216	35	10	223	37	—	—	—	—	—	—
2016	17	ROK MLE	DSL Cardinals	—	127	106	21	4	0	1	18	21	1	0	0	198	320	264	584	66	233	17	14	263	64	—	—	—	—	—	—
2016	17	ROK RAW	DSL Cardinals	—	127	99	30	6	0	1	25	17	1	0	0	303	448	394	842	91	349	13	20	384	64	—	—	—	—	—	—
2017	18	ROK MLE	GCL Cardinals	—	125	118	21	1	0	0	6	29	1	0	0	178	224	186	410	8	236	23	5	198	20	—	—	—	—	—	—
2017	18	ROK RAW	GCL Cardinals	—	125	113	27	2	0	0	11	20	1	0	0	239	312	257	569	18	290	16	9	269	20	—	—	—	—	—	—
2018	19	ROK MLE	GCL Cardinals	—	166	146	26	6	0	4	13	50	3	0	1	178	259	301	561	123	229	30	8	248	54	—	—	—	—	—	—
2018	19	ROK RAW	GCL Cardinals	—	166	138	35	9	0	5	21	35	3	0	1	254	364	428	792	174	294	21	13	348	54	—	—	—	—	—	—
2019	20	INTL MLE	2 teams	—	189	176	31	2	0	2	8	57	4	1	2	176	229	222	450	45	246	30	4	205	25	—	—	—	—	—	—
2019	20	INTL RAW	2 teams	—	189	166	32	5	0	1	18	53	4	1	2	193	287	241	528	48	274	28	10	251	25	—	—	—	—	—	—
2020	21	INTL MLE	Caneros de los Mochis	—	43	41	7	0	0	0	1	13	1	0	0	171	209	171	380		250	30	2	—	—	—	—	—	—	—	—
2020	21	INTL RAW	Caneros de los Mochis	—	43	41	7	0	0	0	1	13	1	0	0	171	209	171	380		250	30	2	181	8	—	—	—	—	—	—
2021	22	A MLE	2 teams	—	389	341	62	15	2	8	40	116	4	1	1	182	275	308	583	126	244	30	10	262	63	—	—	—	—	—	—
2021	22	A RAW	2 teams	—	389	317	74	19	2	10	64	93	4	1	1	233	369	401	769	167	294	24	16	347	63	—	—	—	—	—	—
2022	23	A+ MLE	2 teams	—	284	247	37	15	0	3	28	99	3	0	1	150	245	247	492	97	230	35	10	223	37	—	—	—	—	—	—
2022	23	A+ RAW	2 teams	—	284	238	53	17	0	4	37	72	3	0	1	223	335	345	679	122	297	25	13	307	37	—	—	—	—	—	—
2023	24	INTL MLE	Caneros de los Mochis	—	141	120	29	8	1	3	18	23	1	0	0	242	345	400	745	158	271	16	13	—	—	—	—	—	—	—	—
2023	24	INTL RAW	Caneros de los Mochis	—	141	120	29	8	1	3	18	23	1	0	0	242	345	400	745	158	271	16	13	332	111	—	—	—	—	—	—
2025	26	INTL MLE	Caneros de los Mochis	—	128	104	22	4	0	3	19	17	1	1	0	212	339	337	675	125	218	13	15	—	—	—	—	—	—	—	—
2025	26	INTL RAW	Caneros de los Mochis	—	128	104	22	4	0	3	19	17	1	1	0	212	339	337	675	125	218	13	15	304	92	—	—	—	—	—	—
2016	17	ROK MLE	DSL Cardinals	—	127	107	21	4	0	1	18	21	1	0	0	196	320	262	582	65	224	17	14	263	64	—	—	—	—	—	—
2017	18	ROK MLE	GCL Cardinals	—	125	117	21	1	0	0	6	29	1	0	0	179	224	188	412	9	244	23	5	198	20	—	—	—	—	—	—
2018	19	ROK MLE	GCL Cardinals	—	166	149	26	6	0	4	13	50	3	0	1	174	259	295	555	121	222	30	8	248	54	—	—	—	—	—	—
2019	20	INTL MLE	2 teams	—	189	175	31	2	0	2	8	57	4	1	2	177	229	223	452	46	238	30	4	205	25	—	—	—	—	—	—
2021	22	A MLE	2 teams	—	389	342	62	15	2	8	40	116	4	1	1	181	275	307	582	126	240	30	10	262	63	—	—	—	—	—	—
2022	23	A+ MLE	2 teams	—	284	251	37	15	0	3	28	99	3	0	1	147	245	243	488	96	216	35	10	223	37	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1592	1399	256	55	3	24	151	425	19	3	5	183	272	278	550	95	239	27	9	191	15	-161	-1	+0	+28	+34	-10.1
/ 162G	—	MLE		—	650	571	104	22	1	10	62	174	8	1	2	182	272	277	549	95	238	27	10	191	15	-66	-1	+0	+12	+14	-4.1

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.

2022 A+Peoria Chiefs · 179 PAwOBA .279 → .223 (−56)K% 29.1% → 34.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.05%	÷1.064	×1.270	—	—	34.67%
BB% (unintentional) /PA	13.97%	÷0.992	×0.710	—	×0.998	9.97%
HBP% /PA	0.56%	—	×0.790	—	×0.998	0.44%
Singles /BIP	13.40%	÷1.012	×0.920	×1.008	×0.998	12.25%
Doubles /BIP	11.34%	÷0.989	×0.810	×1.008	×0.998	9.34%
Triples /BIP	0.00%	÷0.929	×0.850	×1.008	×0.998	0.00%
Home runs /BIP	3.09%	÷1.114	×0.800	—	×0.998	2.22%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 123, 1B 102, 2B 98, 3B 86, K 113, BB 98 — 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 ×1.008.

Result: wOBA .279 → .223; ISO .134 → .106; BABIP .250 → .216. 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 APalm Beach Cardinals · 322 PAwOBA .334 → .262 (−73)K% 22.7% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.67%	÷1.034	×1.360	—	—	29.81%
BB% (unintentional) /PA	16.15%	÷1.071	×0.690	—	—	10.40%
HBP% /PA	0.93%	—	×0.780	—	—	0.73%
Singles /BIP	18.32%	÷1.037	×0.920	×0.993	—	16.13%
Doubles /BIP	7.85%	÷1.014	×0.830	×0.993	—	6.38%
Triples /BIP	1.05%	÷1.000	×0.910	×0.993	—	0.95%
Home runs /BIP	4.19%	÷0.924	×0.800	—	—	3.63%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 107, 2B 103, 3B 100, K 107, BB 114 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .334 → .262; ISO .163 → .138; BABIP .280 → .240. 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 APeoria Chiefs · 78 PAwOBA .246 → .205 (−41)K% 23.1% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷1.033	×1.360	—	—	30.38%
BB% (unintentional) /PA	6.41%	÷1.073	×0.690	—	×1.030	4.25%
HBP% /PA	2.56%	—	×0.780	—	×1.030	2.06%
Singles /BIP	23.53%	÷0.996	×0.920	—	×1.030	22.39%
Doubles /BIP	1.96%	÷1.103	×0.830	—	×1.030	1.52%
Triples /BIP	0.00%	÷1.010	×0.910	—	×1.030	0.00%
Home runs /BIP	1.96%	÷1.105	×0.800	—	×1.030	1.46%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 99, 2B 121, 3B 102, K 107, BB 115 — 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).

Result: wOBA .246 → .205; ISO .058 → .042; BABIP .255 → .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).

2018 ROKGCL Cardinals · 166 PAwOBA .348 → .248 (−100)K% 21.1% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.08%	÷1.000	×1.440	—	—	30.36%
BB% (unintentional) /PA	12.65%	÷1.000	×0.620	—	×1.008	7.90%
HBP% /PA	1.81%	—	×0.720	—	×1.008	1.31%
Singles /BIP	20.39%	÷1.000	×0.820	×0.960	×1.008	16.17%
Doubles /BIP	8.74%	÷1.000	×0.720	×0.960	×1.008	6.08%
Triples /BIP	0.00%	÷1.000	×0.720	×0.960	×1.008	0.00%
Home runs /BIP	4.85%	÷1.000	×0.780	—	×1.008	3.81%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .348 → .248; ISO .174 → .127; BABIP .294 → .222. 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 ROKGCL Cardinals · 125 PAwOBA .259 → .198 (−61)K% 16.0% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.00%	÷1.000	×1.440	—	—	23.04%
BB% (unintentional) /PA	8.00%	÷1.000	×0.620	—	×1.022	5.07%
HBP% /PA	0.80%	—	×0.720	—	×1.022	0.59%
Singles /BIP	26.88%	÷1.000	×0.820	×1.010	×1.022	22.77%
Doubles /BIP	2.15%	÷1.000	×0.720	×1.010	×1.022	1.60%
Triples /BIP	0.00%	÷1.000	×0.720	×1.010	×1.022	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.022	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 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 ×1.010.

Result: wOBA .259 → .198; ISO .018 → .013; BABIP .290 → .244. 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 DSLDSL Cardinals · 127 PAwOBA .381 → .263 (−119)K% 13.4% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.39%	÷1.000	×1.220	—	—	16.33%
BB% (unintentional) /PA	19.69%	÷1.000	×0.700	—	×1.022	14.09%
HBP% /PA	0.79%	—	×0.700	—	×1.022	0.56%
Singles /BIP	28.05%	÷1.000	×0.680	×0.950	×1.022	18.53%
Doubles /BIP	7.32%	÷1.000	×0.600	×0.950	×1.022	4.26%
Triples /BIP	0.00%	÷1.000	×0.600	×0.950	×1.022	0.00%
Home runs /BIP	1.22%	÷1.000	×0.470	—	×1.022	0.59%

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 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .381 → .263; ISO .091 → .053; BABIP .349 → .224. 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 — .