Carlos Dominguez

PosOF

B/TR/R

Born1999-10-11

Age (2027)27

No MLB projection yet. Career stats below are historical.

Overview

ALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	21	ROKNYM	164	.262/.348/.531	10	7	39	—	.155/.238/.318
2022	22	ANYM	444	.233/.325/.426	20	22	27	—	.141/.219/.261
2023	23	ANYM	170	.211/.310/.374	5	4	17	—	.132/.214/.224

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 A

Max EV81

Speed74

Z-Con%50

BB%33

Chase%24

Whiff%23

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)
2019	19	ROK	DSL Mets 2	—	253	207	55	13	5	6	18	63	24	15	6	266	390	464	853	198	345	25	7	377	43	—	—	—	—	—	—
2021	21	ROK	FCL Mets	—	164	145	38	7	1	10	9	57	10	7	3	262	348	531	879	269	359	35	5	385	39	—	—	—	—	—	—
2022	22	A	St. Lucie Mets	—	444	390	91	15	0	20	37	173	16	22	10	233	325	426	751	192	359	39	8	336	27	—	—	—	—	—	—
2023	23	A	St. Lucie Mets	—	170	147	31	5	2	5	16	57	5	4	3	211	310	374	684	163	299	34	9	306	17	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	19	ROK MLE	DSL Mets 2	—	253	213	33	7	3	3	12	77	24	15	6	155	277	258	535	103	206	30	5	232	43	—	—	—	—	—	—
2021	21	ROK MLE	FCL Mets	—	164	148	23	4	1	6	6	82	10	7	3	155	238	318	555	162	248	50	4	226	39	—	—	—	—	—	—
2022	22	A MLE	St. Lucie Mets	—	444	403	57	9	0	13	24	246	16	22	10	141	219	261	480	119	289	55	5	208	27	—	—	—	—	—	—
2023	23	A MLE	St. Lucie Mets	—	170	152	20	3	1	3	11	82	5	4	3	132	214	224	438	92	234	48	6	193	17	—	—	—	—	—	—
2019	19	ROK MLE	DSL Mets 2	—	253	213	33	7	3	3	12	77	24	15	6	155	277	258	535	103	219	30	5	232	43	—	—	—	—	—	—
2019	19	ROK RAW	DSL Mets 2	—	253	207	55	13	5	6	18	63	24	15	6	266	390	464	853	198	345	25	7	377	43	—	—	—	—	—	—
2021	21	ROK MLE	FCL Mets	—	164	148	23	4	1	6	6	82	10	7	3	155	238	318	555	162	283	50	4	226	39	—	—	—	—	—	—
2021	21	ROK RAW	FCL Mets	—	164	145	38	7	1	10	9	57	10	7	3	262	348	531	879	269	359	35	5	385	39	—	—	—	—	—	—
2022	22	A MLE	St. Lucie Mets	—	444	403	57	9	0	13	24	246	16	22	10	141	219	261	480	119	303	55	5	208	27	—	—	—	—	—	—
2022	22	A RAW	St. Lucie Mets	—	444	390	91	15	0	20	37	173	16	22	10	233	325	426	751	192	359	39	8	336	27	—	—	—	—	—	—
2023	23	A MLE	St. Lucie Mets	—	170	152	20	3	1	3	11	82	5	4	3	132	214	224	438	92	246	48	6	193	17	—	—	—	—	—	—
2023	23	A RAW	St. Lucie Mets	—	170	147	31	5	2	5	16	57	5	4	3	211	310	374	684	163	299	34	9	306	17	—	—	—	—	—	—
2019	19	ROK MLE	DSL Mets 2	—	253	215	33	7	3	3	12	77	24	15	6	153	277	256	533	102	206	30	5	232	43	—	—	—	—	—	—
2021	21	ROK MLE	FCL Mets	—	164	147	23	4	1	6	6	82	10	7	3	156	238	320	558	163	248	50	4	226	39	—	—	—	—	—	—
2022	22	A MLE	St. Lucie Mets	—	444	401	57	9	0	13	24	246	16	22	10	142	219	262	481	120	289	55	5	208	27	—	—	—	—	—	—
2023	23	A MLE	St. Lucie Mets	—	170	152	20	3	1	3	11	82	5	4	3	132	214	224	438	92	234	48	6	193	17	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1031	916	133	23	5	25	53	487	55	48	22	145	235	263	498	118	263	47	5	214	31	-84	+1	+0	-6	+22	-6.9
/ 162G	—	MLE		—	650	577	84	15	3	16	33	307	35	30	14	146	235	265	500	120	264	47	5	214	31	-53	+0	+0	-4	+14	-4.4

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.

2023 ASt. Lucie Mets · 170 PAwOBA .302 → .193 (−109)K% 33.5% → 48.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.53%	÷0.947	×1.360	—	—	48.16%
BB% (unintentional) /PA	9.41%	÷0.977	×0.690	—	×0.980	6.51%
HBP% /PA	2.94%	—	×0.780	—	×0.980	2.25%
Singles /BIP	21.11%	÷1.054	×0.920	×0.953	×0.980	17.21%
Doubles /BIP	5.56%	÷0.987	×0.830	×0.953	×0.980	4.36%
Triples /BIP	2.22%	÷1.150	×0.910	×0.953	×0.980	1.64%
Home runs /BIP	5.56%	÷1.274	×0.800	—	×0.980	3.42%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 155, 1B 111, 2B 97, 3B 130, K 89, BB 95 — 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 ×0.953.

Result: wOBA .302 → .193; ISO .163 → .089; BABIP .299 → .234. 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).

2022 ASt. Lucie Mets · 444 PAwOBA .328 → .208 (−120)K% 39.0% → 55.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.96%	÷0.959	×1.360	—	—	55.28%
BB% (unintentional) /PA	8.33%	÷1.081	×0.690	—	×0.990	5.27%
HBP% /PA	3.60%	—	×0.780	—	×0.990	2.78%
Singles /BIP	25.81%	÷1.052	×0.920	×0.960	×0.990	21.44%
Doubles /BIP	6.91%	÷0.999	×0.830	×0.960	×0.990	5.45%
Triples /BIP	0.00%	÷0.900	×0.910	×0.960	×0.990	0.00%
Home runs /BIP	9.22%	÷0.949	×0.800	—	×0.990	7.69%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 110, 2B 100, 3B 80, K 92, BB 116 — 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 ×0.960.

Result: wOBA .328 → .208; ISO .192 → .119; BABIP .359 → .289. 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 ROKFCL Mets · 164 PAwOBA .374 → .226 (−148)K% 34.8% → 49.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.76%	÷1.004	×1.440	—	—	49.86%
BB% (unintentional) /PA	5.49%	÷0.950	×0.620	—	×0.975	3.49%
HBP% /PA	6.10%	—	×0.720	—	×0.975	4.28%
Singles /BIP	22.73%	÷1.040	×0.820	×0.950	×0.975	16.59%
Doubles /BIP	7.95%	÷1.013	×0.720	×0.950	×0.975	5.23%
Triples /BIP	1.14%	÷1.000	×0.720	×0.950	×0.975	0.76%
Home runs /BIP	11.36%	÷0.958	×0.780	—	×0.975	9.02%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 108, 2B 103, 3B 100, K 101, BB 90 — 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 ×0.950.

Result: wOBA .374 → .226; ISO .269 → .162; BABIP .359 → .248. 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 DSLDSL Mets 2 · 253 PAwOBA .374 → .232 (−142)K% 24.9% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.90%	÷1.000	×1.220	—	—	30.38%
BB% (unintentional) /PA	7.11%	÷1.000	×0.700	—	×0.985	4.91%
HBP% /PA	9.49%	—	×0.700	—	×0.985	6.54%
Singles /BIP	21.53%	÷1.000	×0.680	×0.950	×0.985	13.70%
Doubles /BIP	9.03%	÷1.000	×0.600	×0.950	×0.985	5.07%
Triples /BIP	3.47%	÷1.000	×0.600	×0.950	×0.985	1.95%
Home runs /BIP	4.17%	÷1.000	×0.470	—	×0.985	1.93%

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 ×0.950.

Result: wOBA .374 → .232; ISO .198 → .105; BABIP .345 → .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).