Nelson Medina

PosCF

B/TR/R

Born2000-09-14

Age (2027)26

No MLB projection yet. Career stats below are historical.

Overview

A+LAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	21	ROKNYY	54	.311/.426/.622	2	2	68	—	.188/.278/.354
2023	22	AAA/A/INTL3 orgs	276	.238/.338/.402	7	11	59	—	.197/.261/.322
2024	23	A+NYY	173	.115/.198/.147	0	8	-46	—	.074/.128/.099

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2024 A+

Speed91

Chase%46

BB%29

Whiff%9

ISO7

Z-Con%6

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)
2018	17	ROK	DSL Yankees	—	245	201	41	10	5	1	38	89	6	12	9	204	347	318	665	114	360	36	16	312	19	—	—	—	—	—	—
2019	18	ROK	GCL Yankees West	—	141	122	24	5	2	3	15	32	3	5	2	197	300	344	644	148	239	23	11	292	18	—	—	—	—	—	—
2021	20	ROK	DSL Yankees 2	—	142	108	26	8	1	1	29	28	2	13	2	241	410	361	771	120	305	20	20	353	40	—	—	—	—	—	—
2022	21	ROK	FCL Yankees	—	54	45	14	2	3	2	7	17	2	2	1	311	426	622	1.048	311	462	31	13	449	68	—	—	—	—	—	—
2023	22	AAA	Scranton/Wilkes-Barre RailRiders	—	47	45	7	0	1	0	2	15	0	2	1	156	191	200	391	44	233	32	4	180	-14	—	—	—	—	—	—
2023	22	A	Tampa Tarpons	—	192	163	45	9	3	6	27	58	1	8	3	276	382	479	861	202	390	30	14	380	74	—	—	—	—	—	—
2023	22	INTL	Mesa Solar Sox	—	37	31	5	1	0	1	6	17	0	1	0	161	297	290	588	129	308	46	16	277	74	—	—	—	—	—	—
2024	23	A+	Hudson Valley Renegades	—	173	156	18	3	1	0	14	74	2	8	0	115	198	147	345	32	217	43	8	170	-46	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	17	ROK MLE	DSL Yankees	—	245	212	25	6	3	0	27	109	6	12	9	118	237	175	411	57	233	44	11	196	19	—	—	—	—	—	—
2019	18	ROK MLE	GCL Yankees West	—	141	128	16	3	1	2	9	46	3	5	2	125	200	211	411	86	178	33	6	195	18	—	—	—	—	—	—
2021	20	ROK MLE	DSL Yankees 2	—	142	118	17	5	1	0	19	36	2	13	2	144	273	203	477	59	184	25	13	228	40	—	—	—	—	—	—
2022	21	ROK MLE	FCL Yankees	—	54	48	9	1	2	1	4	25	2	2	1	188	278	354	632	167	338	46	7	268	68	—	—	—	—	—	—
2023	22	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	47	46	6	0	1	0	1	18	0	2	1	130	149	174	323	43	222	38	2	148	-14	—	—	—	—	—	—
2023	22	A MLE	Tampa Tarpons	—	192	173	37	7	3	4	17	81	1	8	3	214	288	358	646	145	355	42	9	277	74	—	—	—	—	—	—
2024	23	A+ MLE	Hudson Valley Renegades	—	173	162	12	2	1	0	8	102	2	8	0	74	128	99	227	25	180	59	5	100	-46	—	—	—	—	—	—
2018	17	ROK MLE	DSL Yankees	—	245	212	25	6	3	0	27	109	6	12	9	118	237	175	411	57	243	44	11	196	19	—	—	—	—	—	—
2018	17	ROK RAW	DSL Yankees	—	245	201	41	10	5	1	38	89	6	12	9	204	347	318	665	114	360	36	16	312	19	—	—	—	—	—	—
2019	18	ROK MLE	GCL Yankees West	—	141	128	16	3	1	2	9	46	3	5	2	125	200	211	411	86	173	33	6	195	18	—	—	—	—	—	—
2019	18	ROK RAW	GCL Yankees West	—	141	122	24	5	2	3	15	32	3	5	2	197	300	344	644	148	239	23	11	292	18	—	—	—	—	—	—
2021	20	ROK MLE	DSL Yankees 2	—	142	118	17	5	1	0	19	36	2	13	2	144	273	203	477	59	200	25	13	228	40	—	—	—	—	—	—
2021	20	ROK RAW	DSL Yankees 2	—	142	108	26	8	1	1	29	28	2	13	2	241	410	361	771	120	305	20	20	353	40	—	—	—	—	—	—
2022	21	ROK MLE	FCL Yankees	—	54	48	9	1	2	1	4	25	2	2	1	188	278	354	632	167	364	46	7	268	68	—	—	—	—	—	—
2022	21	ROK RAW	FCL Yankees	—	54	45	14	2	3	2	7	17	2	2	1	311	426	622	1.048	311	462	31	13	449	68	—	—	—	—	—	—
2023	22	A MLE	3 teams	—	276	253	49	8	4	5	21	114	1	11	4	194	258	316	574	123	326	41	8	252	56	—	—	—	—	—	—
2023	22	A RAW	3 teams	—	276	239	57	10	4	7	35	90	1	11	4	238	338	402	740	163	350	33	13	332	56	—	—	—	—	—	—
2024	23	A+ MLE	Hudson Valley Renegades	—	173	162	12	2	1	0	8	102	2	8	0	74	128	99	227	25	197	59	5	100	-46	—	—	—	—	—	—
2024	23	A+ RAW	Hudson Valley Renegades	—	173	156	18	3	1	0	14	74	2	8	0	115	198	147	345	32	217	43	8	170	-46	—	—	—	—	—	—
2018	17	ROK MLE	DSL Yankees	—	245	210	25	6	3	0	27	109	6	12	9	119	237	176	413	57	233	44	11	196	19	—	—	—	—	—	—
2019	18	ROK MLE	GCL Yankees West	—	141	128	16	3	1	2	9	46	3	5	2	125	200	211	411	86	178	33	6	195	18	—	—	—	—	—	—
2021	20	ROK MLE	DSL Yankees 2	—	142	120	17	5	1	0	19	36	2	13	2	142	273	200	473	58	184	25	13	228	40	—	—	—	—	—	—
2022	21	ROK MLE	FCL Yankees	—	54	48	9	1	2	1	4	25	2	2	1	188	278	354	632	167	338	46	7	268	68	—	—	—	—	—	—
2023	22	A MLE	3 teams	—	276	252	49	8	4	5	21	114	1	11	4	194	258	317	576	123	329	41	8	252	56	—	—	—	—	—	—
2024	23	A+ MLE	Hudson Valley Renegades	—	173	161	12	2	1	0	8	102	2	8	0	75	128	99	227	25	180	59	5	100	-46	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	23	A+ MLE	Hudson Valley Renegades	—	173	161	12	2	1	0	8	102	2	8	0	75	128	99	227	25	180	59	5	100	-46	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1031	921	128	25	12	8	88	432	16	51	18	139	226	218	445	79	246	42	9	203	23	-94	+3	+0	+4	+22	-6.6
/ 162G	—	MLE		—	650	581	81	16	8	5	55	272	10	32	11	139	226	220	446	81	247	42	8	203	23	-59	+2	+0	+2	+14	-4.2

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.

2024 A+Hudson Valley Renegades · 173 PAwOBA .167 → .100 (−67)K% 42.8% → 59.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	42.77%	÷0.946	×1.310	—	—	59.22%
BB% (unintentional) /PA	8.09%	÷1.099	×0.600	—	×0.988	4.37%
HBP% /PA	1.16%	—	×0.770	—	×0.988	0.88%
Singles /BIP	17.07%	÷1.025	×0.870	×1.009	×0.988	14.44%
Doubles /BIP	3.66%	÷1.070	×0.780	×1.009	×0.988	2.66%
Triples /BIP	1.22%	÷0.900	×0.850	×1.009	×0.988	1.15%
Home runs /BIP	0.00%	÷1.032	×0.880	—	×0.988	0.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 106, 1B 105, 2B 114, 3B 80, K 89, BB 120 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .167 → .100; ISO .032 → .020; BABIP .217 → .180. 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).

2023 ATampa Tarpons · 192 PAwOBA .370 → .277 (−94)K% 30.2% → 42.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.21%	÷0.975	×1.360	—	—	42.15%
BB% (unintentional) /PA	13.54%	÷1.079	×0.690	—	×0.990	8.57%
HBP% /PA	0.52%	—	×0.780	—	×0.990	0.40%
Singles /BIP	25.71%	÷0.987	×0.920	×1.018	×0.990	24.14%
Doubles /BIP	8.57%	÷0.972	×0.830	×1.018	×0.990	7.38%
Triples /BIP	2.86%	÷0.900	×0.910	×1.018	×0.990	2.91%
Home runs /BIP	5.71%	÷1.086	×0.800	—	×0.990	4.17%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 97, 2B 94, 3B 80, K 95, 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 ×1.018.

Result: wOBA .370 → .277; ISO .202 → .148; BABIP .390 → .355. 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).

2023 AAAScranton/Wilkes-Barre RailRiders · 47 PAwOBA .175 → .148 (−27)K% 31.9% → 38.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.91%	÷0.998	×1.200	—	—	38.39%
BB% (unintentional) /PA	4.26%	÷1.059	×0.690	—	×1.050	2.91%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	20.00%	÷1.029	×0.930	—	×1.050	18.97%
Doubles /BIP	0.00%	÷0.903	×0.830	—	×1.050	0.00%
Triples /BIP	3.33%	÷1.048	×0.970	—	×1.050	3.24%
Home runs /BIP	0.00%	÷1.017	×0.700	—	×1.050	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 106, 2B 81, 3B 110, K 100, BB 112 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average).

Result: wOBA .175 → .148; ISO .044 → .040; BABIP .233 → .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).

2022 ROKFCL Yankees · 54 PAwOBA .438 → .268 (−169)K% 31.5% → 45.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.48%	÷0.990	×1.440	—	—	45.78%
BB% (unintentional) /PA	12.96%	÷1.026	×0.620	—	×0.975	7.64%
HBP% /PA	3.70%	—	×0.720	—	×0.975	2.60%
Singles /BIP	25.00%	÷0.983	×0.820	—	×0.975	20.34%
Doubles /BIP	7.14%	÷0.974	×0.720	—	×0.975	5.15%
Triples /BIP	10.71%	÷1.150	×0.720	—	×0.975	6.54%
Home runs /BIP	7.14%	÷1.066	×0.780	—	×0.975	5.10%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 97, 2B 95, 3B 130, K 98, BB 105 — 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).

Result: wOBA .438 → .268; ISO .311 → .177; BABIP .462 → .338. 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 DSLDSL Yankees 2 · 142 PAwOBA .353 → .228 (−125)K% 19.7% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.72%	÷0.964	×1.220	—	—	24.96%
BB% (unintentional) /PA	20.42%	÷1.038	×0.700	—	×0.975	13.43%
HBP% /PA	1.41%	—	×0.700	—	×0.975	0.96%
Singles /BIP	20.00%	÷1.033	×0.680	×0.986	×0.975	12.67%
Doubles /BIP	10.00%	÷1.033	×0.600	×0.986	×0.975	5.59%
Triples /BIP	1.25%	÷0.977	×0.600	×0.986	×0.975	0.74%
Home runs /BIP	1.25%	÷1.063	×0.470	—	×0.975	0.54%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 107, 2B 107, 3B 95, K 93, BB 108 — applied at half strength. Age: age 21 vs a level average of 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .353 → .228; ISO .120 → .069; BABIP .305 → .184. 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 ROKGCL Yankees West · 141 PAwOBA .287 → .195 (−92)K% 22.7% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.70%	÷1.000	×1.440	—	—	32.68%
BB% (unintentional) /PA	10.64%	÷1.000	×0.620	—	×1.008	6.65%
HBP% /PA	2.13%	—	×0.720	—	×1.008	1.54%
Singles /BIP	15.56%	÷1.000	×0.820	×0.950	×1.008	12.21%
Doubles /BIP	5.56%	÷1.000	×0.720	×0.950	×1.008	3.83%
Triples /BIP	2.22%	÷1.000	×0.720	×0.950	×1.008	1.53%
Home runs /BIP	3.33%	÷1.000	×0.780	—	×1.008	2.62%

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 ×0.950.

Result: wOBA .287 → .195; ISO .148 → .101; BABIP .239 → .178. 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 DSLDSL Yankees · 245 PAwOBA .306 → .196 (−110)K% 36.3% → 44.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.33%	÷1.000	×1.220	—	—	44.32%
BB% (unintentional) /PA	15.51%	÷1.000	×0.700	—	×1.008	10.94%
HBP% /PA	2.45%	—	×0.700	—	×1.008	1.73%
Singles /BIP	22.32%	÷1.000	×0.680	×0.993	×1.008	15.19%
Doubles /BIP	8.93%	÷1.000	×0.600	×0.993	×1.008	5.36%
Triples /BIP	4.46%	÷1.000	×0.600	×0.993	×1.008	2.68%
Home runs /BIP	0.89%	÷1.000	×0.470	—	×1.008	0.42%

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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .306 → .196; ISO .114 → .063; BABIP .360 → .233. 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 — .