Luis Carpio

Pos2B

B/TR/R

Born1997-07-11

Age (2027)30

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	22	AA/A+/INTL2 orgs	418	.274/.354/.369	4	4	76	—	.249/.317/.333
2021	24	AANYM	341	.249/.326/.384	7	6	54	—	.200/.259/.298
2022	25	AADET	274	.218/.301/.300	2	8	37	—	.183/.246/.251

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 Mets 2	—	250	209	49	9	1	1	33	33	4	12	4	234	350	301	651	67	271	13	13	302	26	—	—	—	—	—	—
2015	18	ROK	Kingsport Mets	—	207	181	55	10	0	0	17	34	5	9	7	304	379	359	738	55	364	16	8	334	57	—	—	—	—	—	—
2016	19	ROK	GCL Mets	—	34	31	9	1	1	0	1	11	2	0	0	290	353	387	740	97	450	32	3	335	30	—	—	—	—	—	—
2017	20	A	Columbia Fireflies	—	535	474	110	18	3	3	53	95	2	17	5	232	312	302	614	70	280	18	10	281	47	—	—	—	—	—	—
2018	21	A+	St. Lucie Mets	—	436	389	85	21	0	12	40	80	1	8	9	219	293	365	658	147	241	18	9	293	48	—	—	—	—	—	—
2019	22	AA	Binghamton Rumble Ponies	—	276	243	64	15	0	3	28	49	3	2	6	263	347	362	709	99	319	18	10	322	76	—	—	—	—	—	—
2019	22	A+	St. Lucie Mets	—	106	94	31	4	1	1	10	15	1	2	3	330	400	426	826	96	380	14	9	370	82	—	—	—	—	—	—
2019	22	INTL	Scottsdale Scorpions	—	36	32	6	2	0	0	4	8	0	0	1	188	278	250	528	62	250	22	11	249	55	—	—	—	—	—	—
2021	24	AA	Binghamton Rumble Ponies	—	341	305	76	20	0	7	33	89	2	6	5	249	326	384	710	134	329	26	10	320	54	—	—	—	—	—	—
2022	25	AA	Erie SeaWolves	—	274	243	53	14	0	2	27	67	2	8	1	218	301	300	602	82	290	24	10	277	37	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	17	ROK MLE	DSL Mets 2	—	250	218	34	6	1	0	24	40	4	12	4	156	252	193	445	37	181	16	10	207	26	—	—	—	—	—	—
2015	18	ROK MLE	Kingsport Mets	—	207	187	43	7	0	0	11	48	5	9	7	230	291	267	558	37	293	23	5	252	57	—	—	—	—	—	—
2016	19	ROK MLE	GCL Mets	—	34	31	7	1	1	0	1	16	2	0	0	226	294	323	617	97	362	47	3	212	30	—	—	—	—	—	—
2017	20	A MLE	Columbia Fireflies	—	535	490	101	15	3	3	37	123	2	17	5	206	265	267	532	61	261	23	7	238	47	—	—	—	—	—	—
2018	21	A+ MLE	St. Lucie Mets	—	436	396	70	19	0	9	33	117	1	8	9	177	242	293	535	116	216	27	8	239	48	—	—	—	—	—	—
2019	22	AA MLE	Binghamton Rumble Ponies	—	276	249	60	14	0	2	22	55	3	2	6	241	310	321	632	80	295	20	8	280	76	—	—	—	—	—	—
2019	22	A+ MLE	St. Lucie Mets	—	106	96	26	4	1	1	8	23	1	2	3	271	333	365	698	94	323	22	8	290	82	—	—	—	—	—	—
2021	24	AA MLE	Binghamton Rumble Ponies	—	341	315	63	16	0	5	23	107	2	6	5	200	259	298	557	98	281	31	7	248	54	—	—	—	—	—	—
2022	25	AA MLE	Erie SeaWolves	—	274	251	46	11	0	2	19	82	2	8	1	183	246	251	497	68	258	30	7	223	37	—	—	—	—	—	—
2014	17	ROK MLE	DSL Mets 2	—	250	218	34	6	1	0	24	40	4	12	4	156	252	193	445	37	189	16	10	207	26	—	—	—	—	—	—
2014	17	ROK RAW	DSL Mets 2	—	250	209	49	9	1	1	33	33	4	12	4	234	350	301	651	67	271	13	13	302	26	—	—	—	—	—	—
2015	18	ROK MLE	Kingsport Mets	—	207	187	43	7	0	0	11	48	5	9	7	230	291	267	558	37	301	23	5	252	57	—	—	—	—	—	—
2015	18	ROK RAW	Kingsport Mets	—	207	181	55	10	0	0	17	34	5	9	7	304	379	359	738	55	364	16	8	334	57	—	—	—	—	—	—
2016	19	ROK MLE	GCL Mets	—	34	31	7	1	1	0	1	16	2	0	0	226	294	323	617	97	467	47	3	212	30	—	—	—	—	—	—
2016	19	ROK RAW	GCL Mets	—	34	31	9	1	1	0	1	11	2	0	0	290	353	387	740	97	450	32	3	335	30	—	—	—	—	—	—
2017	20	A MLE	Columbia Fireflies	—	535	490	101	15	3	3	37	123	2	17	5	206	265	267	532	61	265	23	7	238	47	—	—	—	—	—	—
2017	20	A RAW	Columbia Fireflies	—	535	474	110	18	3	3	53	95	2	17	5	232	312	302	614	70	280	18	10	281	47	—	—	—	—	—	—
2018	21	A+ MLE	St. Lucie Mets	—	436	396	70	19	0	9	33	117	1	8	9	177	242	293	535	116	221	27	8	239	48	—	—	—	—	—	—
2018	21	A+ RAW	St. Lucie Mets	—	436	389	85	21	0	12	40	80	1	8	9	219	293	365	658	147	241	18	9	293	48	—	—	—	—	—	—
2019	22	AA MLE	3 teams	—	418	379	92	19	1	3	32	86	4	4	10	243	308	322	630	79	306	21	8	283	78	—	—	—	—	—	—
2019	22	AA RAW	3 teams	—	418	369	101	21	1	4	42	72	4	4	10	274	354	369	723	95	330	17	10	328	78	—	—	—	—	—	—
2021	24	AA MLE	Binghamton Rumble Ponies	—	341	315	63	16	0	5	23	107	2	6	5	200	259	298	557	98	284	31	7	248	54	—	—	—	—	—	—
2021	24	AA RAW	Binghamton Rumble Ponies	—	341	305	76	20	0	7	33	89	2	6	5	249	326	384	710	134	329	26	10	320	54	—	—	—	—	—	—
2022	25	AA MLE	Erie SeaWolves	—	274	251	46	11	0	2	19	82	2	8	1	183	246	251	497	68	260	30	7	223	37	—	—	—	—	—	—
2022	25	AA RAW	Erie SeaWolves	—	274	243	53	14	0	2	27	67	2	8	1	218	301	300	602	82	290	24	10	277	37	—	—	—	—	—	—
2014	17	ROK MLE	DSL Mets 2	—	250	220	34	6	1	0	24	40	4	12	4	155	252	191	443	36	181	16	10	207	26	—	—	—	—	—	—
2015	18	ROK MLE	Kingsport Mets	—	207	189	43	7	0	0	11	48	5	9	7	228	291	265	555	37	293	23	5	252	57	—	—	—	—	—	—
2016	19	ROK MLE	GCL Mets	—	34	31	7	1	1	0	1	16	2	0	0	226	294	323	617	97	362	47	3	212	30	—	—	—	—	—	—
2017	20	A MLE	Columbia Fireflies	—	535	491	101	15	3	3	37	123	2	17	5	206	265	267	531	61	261	23	7	238	47	—	—	—	—	—	—
2018	21	A+ MLE	St. Lucie Mets	—	436	399	70	19	0	9	33	117	1	8	9	175	242	291	533	115	216	27	8	239	48	—	—	—	—	—	—
2019	22	AA MLE	3 teams	—	418	379	92	19	1	3	32	86	4	4	10	243	308	322	630	79	303	21	8	283	78	—	—	—	—	—	—
2021	24	AA MLE	Binghamton Rumble Ponies	—	341	313	63	16	0	5	23	107	2	6	5	201	259	300	559	99	281	31	7	248	54	—	—	—	—	—	—
2022	25	AA MLE	Erie SeaWolves	—	274	251	46	11	0	2	19	82	2	8	1	183	246	251	497	68	258	30	7	223	37	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2495	2267	456	94	6	22	180	619	22	64	41	201	267	277	544	76	263	25	7	243	51	-146	-4	+0	+9	+54	-8.9
/ 162G	—	MLE		—	650	591	119	24	2	6	47	161	6	17	11	201	267	279	547	78	263	25	7	243	51	-38	-1	+0	+2	+14	-2.3

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.

2022 AAErie SeaWolves · 274 PAwOBA .272 → .223 (−49)K% 24.5% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.45%	÷0.995	×1.220	—	—	29.97%
BB% (unintentional) /PA	9.85%	÷0.992	×0.700	—	×0.998	6.94%
HBP% /PA	0.73%	—	×0.850	—	×0.998	0.62%
Singles /BIP	21.02%	÷1.042	×0.970	×0.993	×0.998	19.40%
Doubles /BIP	7.95%	÷1.042	×0.860	×0.993	×0.998	6.50%
Triples /BIP	0.00%	÷0.900	×0.950	×0.993	×0.998	0.00%
Home runs /BIP	1.14%	÷0.926	×0.780	—	×0.998	0.95%

Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 108, 2B 108, 3B 80, K 99, 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 ×0.993.

Result: wOBA .272 → .223; ISO .082 → .066; BABIP .290 → .258. 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 AABinghamton Rumble Ponies · 341 PAwOBA .313 → .248 (−65)K% 26.1% → 31.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.10%	÷1.017	×1.220	—	—	31.30%
BB% (unintentional) /PA	9.68%	÷1.018	×0.690	—	×1.012	6.64%
HBP% /PA	0.59%	—	×0.850	—	×1.012	0.50%
Singles /BIP	22.69%	÷1.045	×0.940	×0.969	×1.012	20.01%
Doubles /BIP	9.26%	÷1.053	×0.870	×0.969	×1.012	7.50%
Triples /BIP	0.00%	÷1.060	×0.920	×0.969	×1.012	0.00%
Home runs /BIP	3.24%	÷0.995	×0.780	—	×1.012	2.57%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 109, 2B 111, 3B 112, K 103, BB 104 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .313 → .248; ISO .134 → .105; BABIP .329 → .281. 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 AABinghamton Rumble Ponies · 276 PAwOBA .314 → .280 (−34)K% 17.8% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.75%	÷1.083	×1.220	—	—	19.99%
BB% (unintentional) /PA	10.14%	÷0.942	×0.700	—	×1.042	7.86%
HBP% /PA	1.09%	—	×0.850	—	×1.042	0.96%
Singles /BIP	23.71%	÷1.026	×0.970	×0.950	×1.042	22.20%
Doubles /BIP	7.73%	÷0.945	×0.860	×0.950	×1.042	6.97%
Triples /BIP	0.00%	÷0.900	×0.950	×0.950	×1.042	0.00%
Home runs /BIP	1.55%	÷1.012	×0.780	—	×1.042	1.24%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 105, 2B 89, 3B 80, K 117, BB 88 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .314 → .280; ISO .099 → .086; BABIP .319 → .295. 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+St. Lucie Mets · 106 PAwOBA .364 → .290 (−74)K% 14.2% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.15%	÷0.917	×1.420	—	—	21.91%
BB% (unintentional) /PA	9.43%	÷0.975	×0.750	—	×1.012	7.34%
HBP% /PA	0.94%	—	×0.930	—	×1.012	0.89%
Singles /BIP	31.65%	÷1.048	×0.920	×0.950	×1.012	26.72%
Doubles /BIP	5.06%	÷0.978	×0.960	×0.950	×1.012	4.78%
Triples /BIP	1.27%	÷1.062	×0.810	×0.950	×1.012	0.93%
Home runs /BIP	1.27%	÷1.122	×0.880	—	×1.012	1.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 124, 1B 110, 2B 96, 3B 112, K 83, BB 95 — 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 ×0.950.

Result: wOBA .364 → .290; ISO .096 → .076; BABIP .380 → .323. 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+St. Lucie Mets · 436 PAwOBA .288 → .239 (−49)K% 18.3% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.35%	÷0.967	×1.420	—	—	26.95%
BB% (unintentional) /PA	8.94%	÷0.907	×0.750	—	×1.027	7.60%
HBP% /PA	0.23%	—	×0.930	—	×1.027	0.22%
Singles /BIP	16.83%	÷1.022	×0.920	×0.950	×1.027	14.78%
Doubles /BIP	6.80%	÷0.964	×0.960	×0.950	×1.027	6.60%
Triples /BIP	0.00%	÷0.900	×0.810	×0.950	×1.027	0.00%
Home runs /BIP	3.88%	÷1.074	×0.880	—	×1.027	3.27%

Factors used: league row FSL. Park (home-season share, regressed): HR 115, 1B 104, 2B 93, 3B 80, K 93, BB 81 — applied at half strength. Age: age 21 vs a level average of 22.8 → +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 .288 → .239; ISO .147 → .120; BABIP .241 → .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).

2017 AColumbia Fireflies · 535 PAwOBA .278 → .238 (−39)K% 17.8% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.76%	÷1.037	×1.340	—	—	22.95%
BB% (unintentional) /PA	9.91%	÷0.981	×0.660	—	×1.030	6.86%
HBP% /PA	0.37%	—	×0.770	—	×1.030	0.30%
Singles /BIP	22.69%	÷1.009	×0.920	×1.001	×1.030	21.35%
Doubles /BIP	4.75%	÷0.976	×0.820	×1.001	×1.030	4.12%
Triples /BIP	0.79%	÷0.900	×0.940	×1.001	×1.030	0.85%
Home runs /BIP	0.79%	÷0.995	×0.820	—	×1.030	0.67%

Factors used: league row SAL. Park (home-season share, regressed): HR 99, 1B 102, 2B 95, 3B 80, K 107, BB 96 — 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 ×1.001.

Result: wOBA .278 → .238; ISO .070 → .062; BABIP .280 → .261. 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 ROKGCL Mets · 34 PAwOBA .327 → .212 (−115)K% 32.4% → 46.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.35%	÷1.000	×1.440	—	—	46.59%
BB% (unintentional) /PA	2.94%	÷1.000	×0.620	—	×1.008	1.84%
HBP% /PA	5.88%	—	×0.720	—	×1.008	4.27%
Singles /BIP	35.00%	÷1.000	×0.820	—	×1.008	28.92%
Doubles /BIP	5.00%	÷1.000	×0.720	—	×1.008	3.63%
Triples /BIP	5.00%	÷1.000	×0.720	—	×1.008	3.63%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.008	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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .327 → .212; ISO .097 → .056; BABIP .450 → .362. 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 ROKKingsport Mets · 207 PAwOBA .332 → .252 (−80)K% 16.4% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.43%	÷1.000	×1.420	—	—	23.32%
BB% (unintentional) /PA	8.21%	÷1.000	×0.640	—	×1.022	5.37%
HBP% /PA	2.42%	—	×0.740	—	×1.022	1.83%
Singles /BIP	30.61%	÷1.000	×0.840	×0.958	×1.022	25.19%
Doubles /BIP	6.80%	÷1.000	×0.740	×0.958	×1.022	4.93%
Triples /BIP	0.00%	÷1.000	×0.740	×0.958	×1.022	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×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 ×0.958.

Result: wOBA .332 → .252; ISO .055 → .039; BABIP .364 → .293. 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 — .