Carlos Vidal

PosCF

B/TL/L

Born1995-11-29

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

ALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	19	ROKPulaski Yanke…	281	.303/.391/.492	9	16	75	—	.220/.290/.350
2017	21	ATB	274	.308/.359/.387	1	5	77	—	.270/.308/.336
2018	22	ATB	312	.244/.336/.381	3	5	59	—	.208/.267/.324

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	18	ROK	DSL Yankees 2	—	278	219	80	13	7	1	42	32	10	13	12	365	487	502	989	137	422	12	15	432	88	—	—	—	—	—	—
2015	19	ROK	Pulaski Yankees	—	281	244	74	15	2	9	29	44	6	16	5	303	391	492	882	189	339	16	10	389	75	—	—	—	—	—	—
2017	21	A	Charleston RiverDogs	—	274	253	78	13	2	1	17	42	3	5	5	308	359	387	746	79	367	15	6	336	77	—	—	—	—	—	—
2018	22	A	Charleston RiverDogs	—	312	270	66	16	6	3	35	56	2	5	4	244	336	381	717	137	293	18	11	319	59	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	18	ROK MLE	DSL Yankees 2	—	278	232	59	9	5	1	29	39	10	13	12	254	362	349	711	95	280	14	10	298	88	—	—	—	—	—	—
2015	19	ROK MLE	Pulaski Yankees	—	281	254	56	10	1	7	19	62	6	16	5	220	290	350	641	130	260	22	7	279	75	—	—	—	—	—	—
2017	21	A MLE	Charleston RiverDogs	—	274	259	70	10	2	1	11	59	3	5	5	270	308	336	644	66	346	22	4	282	77	—	—	—	—	—	—
2018	22	A MLE	Charleston RiverDogs	—	312	284	59	14	5	3	21	76	2	5	4	208	267	324	591	116	259	24	7	256	59	—	—	—	—	—	—
2014	18	ROK MLE	DSL Yankees 2	—	278	232	59	9	5	1	29	39	10	13	12	254	362	349	711	95	301	14	10	298	88	—	—	—	—	—	—
2014	18	ROK RAW	DSL Yankees 2	—	278	219	80	13	7	1	42	32	10	13	12	365	487	502	989	137	422	12	15	432	88	—	—	—	—	—	—
2015	19	ROK MLE	Pulaski Yankees	—	281	254	56	10	1	7	19	62	6	16	5	220	290	350	641	130	263	22	7	279	75	—	—	—	—	—	—
2015	19	ROK RAW	Pulaski Yankees	—	281	244	74	15	2	9	29	44	6	16	5	303	391	492	882	189	339	16	10	389	75	—	—	—	—	—	—
2017	21	A MLE	Charleston RiverDogs	—	274	259	70	10	2	1	11	59	3	5	5	270	308	336	644	66	347	22	4	282	77	—	—	—	—	—	—
2017	21	A RAW	Charleston RiverDogs	—	274	253	78	13	2	1	17	42	3	5	5	308	359	387	746	79	367	15	6	336	77	—	—	—	—	—	—
2018	22	A MLE	Charleston RiverDogs	—	312	284	59	14	5	3	21	76	2	5	4	208	267	324	591	116	268	24	7	256	59	—	—	—	—	—	—
2018	22	A RAW	Charleston RiverDogs	—	312	270	66	16	6	3	35	56	2	5	4	244	336	381	717	137	293	18	11	319	59	—	—	—	—	—	—
2014	18	ROK MLE	DSL Yankees 2	—	278	237	59	9	5	1	29	39	10	13	12	249	362	342	703	93	280	14	10	298	88	—	—	—	—	—	—
2015	19	ROK MLE	Pulaski Yankees	—	281	254	56	10	1	7	19	62	6	16	5	220	290	350	641	130	260	22	7	279	75	—	—	—	—	—	—
2017	21	A MLE	Charleston RiverDogs	—	274	258	70	10	2	1	11	59	3	5	5	271	308	337	645	66	346	22	4	282	77	—	—	—	—	—	—
2018	22	A MLE	Charleston RiverDogs	—	312	286	59	14	5	3	21	76	2	5	4	206	267	322	589	115	259	24	7	256	59	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1145	1029	244	43	13	12	80	236	21	39	26	237	305	339	644	102	295	21	7	278	74	-35	-3	+0	+4	+25	-0.9
/ 162G	—	MLE		—	650	584	138	24	7	7	45	134	12	22	15	236	304	337	641	101	294	21	7	278	74	-20	-2	+0	+2	+14	-0.5

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.

2018 ACharleston RiverDogs · 312 PAwOBA .315 → .256 (−59)K% 17.9% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.95%	÷0.991	×1.340	—	—	24.27%
BB% (unintentional) /PA	11.22%	÷1.092	×0.660	—	×0.990	6.71%
HBP% /PA	0.64%	—	×0.770	—	×0.990	0.49%
Singles /BIP	19.16%	÷1.020	×0.920	×1.014	×0.990	17.34%
Doubles /BIP	7.48%	÷0.961	×0.820	×1.014	×0.990	6.40%
Triples /BIP	2.80%	÷1.150	×0.940	×1.014	×0.990	2.30%
Home runs /BIP	1.40%	÷0.811	×0.820	—	×0.990	1.40%

Factors used: league row SAL. Park (home-season share, regressed): HR 62, 1B 104, 2B 92, 3B 130, K 98, BB 118 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .315 → .256; ISO .137 → .120; BABIP .293 → .259. 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 ACharleston RiverDogs · 274 PAwOBA .328 → .282 (−46)K% 15.3% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.33%	÷0.958	×1.340	—	—	21.43%
BB% (unintentional) /PA	6.20%	÷1.051	×0.660	—	—	3.90%
HBP% /PA	1.09%	—	×0.770	—	—	0.84%
Singles /BIP	29.38%	÷0.978	×0.920	×1.025	—	28.33%
Doubles /BIP	6.16%	÷1.010	×0.820	×1.025	—	5.13%
Triples /BIP	0.95%	÷0.900	×0.940	×1.025	—	1.02%
Home runs /BIP	0.47%	÷0.945	×0.820	—	—	0.41%

Factors used: league row SAL. Park (home-season share, regressed): HR 89, 1B 96, 2B 102, 3B 80, K 92, BB 110 — 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 ×1.025.

Result: wOBA .328 → .282; ISO .079 → .067; BABIP .367 → .346. 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 ROKPulaski Yankees · 281 PAwOBA .380 → .279 (−101)K% 15.7% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.66%	÷1.000	×1.420	—	—	22.23%
BB% (unintentional) /PA	10.32%	÷1.000	×0.640	—	×0.995	6.57%
HBP% /PA	2.14%	—	×0.740	—	×0.995	1.57%
Singles /BIP	24.00%	÷1.000	×0.840	×0.959	×0.995	19.24%
Doubles /BIP	7.50%	÷1.000	×0.740	×0.959	×0.995	5.30%
Triples /BIP	1.00%	÷1.000	×0.740	×0.959	×0.995	0.71%
Home runs /BIP	4.50%	÷1.000	×0.800	—	×0.995	3.58%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.959.

Result: wOBA .380 → .279; ISO .189 → .140; BABIP .339 → .260. 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 DSLDSL Yankees 2 · 278 PAwOBA .422 → .298 (−124)K% 11.5% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.51%	÷1.000	×1.220	—	—	14.04%
BB% (unintentional) /PA	14.75%	÷1.000	×0.700	—	×0.995	10.27%
HBP% /PA	3.60%	—	×0.700	—	×0.995	2.51%
Singles /BIP	31.55%	÷1.000	×0.680	×1.013	×0.995	21.63%
Doubles /BIP	6.95%	÷1.000	×0.600	×1.013	×0.995	4.21%
Triples /BIP	3.74%	÷1.000	×0.600	×1.013	×0.995	2.26%
Home runs /BIP	0.53%	÷1.000	×0.470	—	×0.995	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 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 ×1.013.

Result: wOBA .422 → .298; ISO .137 → .088; BABIP .422 → .280. 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).