Donny Sands

PosC

B/TR/R

Born1996-05-16

Age (2027)31

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
2023	27	AAA/AADET	390	.230/.322/.360	6	1	55	—	.201/.268/.300
2024	28	AAASF	56	.176/.250/.196	0	0	6	—	.170/.214/.189
2025	29	INTLTucson Baseba…	48	.068/.146/.068	0	0	-36	—

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2024 AAA

Chase%79

Whiff%69

Z-Con%39

BB%38

Max EV30

K%26

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)
2015	19	A	Charleston RiverDogs	—	30	29	9	1	0	0	1	5	0	0	1	310	333	345	678	34	375	17	3	307	57	—	—	—	—	—	—
2015	19	ROK	GCL Yankees1	—	190	162	50	9	0	0	24	15	3	7	4	309	407	364	772	56	338	8	13	356	76	—	—	—	—	—	—
2016	20	ROK	Pulaski Yankees	—	122	112	32	4	0	2	7	13	1	2	0	286	333	375	708	89	303	11	6	315	54	—	—	—	—	—	—
2017	21	A+	Tampa Yankees	—	68	62	19	5	0	2	5	10	0	1	1	306	358	484	842	177	333	15	7	367	97	—	—	—	—	—	—
2017	21	A	Charleston RiverDogs	—	314	286	77	17	0	2	21	53	3	0	5	269	326	350	675	80	321	17	7	304	58	—	—	—	—	—	—
2018	22	A+	Tampa Tarpons	—	94	86	23	5	0	0	5	22	2	0	0	267	323	326	648	58	354	23	5	294	49	—	—	—	—	—	—
2019	23	A+	Tampa Tarpons	—	247	226	50	12	1	2	18	51	2	0	1	221	285	310	594	88	276	21	7	271	25	—	—	—	—	—	—
2019	23	INTL	Surprise Saguaros	—	62	54	11	3	0	1	8	12	0	0	0	204	306	315	621	111	244	19	13	288	81	—	—	—	—	—	—
2021	25	AAA	Scranton/Wilkes-Barre RailRiders	—	165	147	40	6	0	8	16	32	0	0	1	272	344	476	820	204	294	19	10	358	90	—	—	—	—	—	—
2021	25	AA	Somerset Patriots	—	215	194	49	10	0	10	16	25	3	2	0	253	319	459	778	206	242	12	7	341	76	—	—	—	—	—	—
2022	26	AAA	Lehigh Valley IronPigs	—	242	201	62	9	0	5	38	44	0	1	0	308	418	428	846	119	368	18	16	380	99	—	—	—	—	—	—
2023	27	AAA	Toledo Mud Hens	—	371	320	72	24	1	5	45	74	1	1	2	225	322	353	676	128	272	20	12	305	56	—	—	—	—	—	—
2023	27	AA	Erie SeaWolves	—	19	19	6	0	0	1	0	8	0	0	0	316	316	474	789	158	500	42	0	348	44	—	—	—	—	—	—
2024	28	AAA	Sacramento River Cats	—	56	51	9	1	0	0	5	16	0	0	0	176	250	196	446	20	257	29	9	215	6	—	—	—	—	—	—
2025	29	INTL	Tucson Baseball Team	—	48	44	3	0	0	0	3	19	1	0	0	68	146	68	214		120	40	6	115	-36	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	19	A MLE	Charleston RiverDogs	—	30	29	8	1	0	0	1	7	0	0	1	276	300	310	610	34	347	23	3	253	57	—	—	—	—	—	—
2015	19	ROK MLE	GCL Yankees1	—	190	171	44	7	0	0	15	22	3	7	4	257	328	298	626	41	287	12	8	280	76	—	—	—	—	—	—
2016	20	ROK MLE	Pulaski Yankees	—	122	114	27	3	0	2	5	18	1	2	0	237	275	316	591	79	251	15	4	248	54	—	—	—	—	—	—
2017	21	A+ MLE	Tampa Yankees	—	68	63	17	5	0	2	4	15	0	1	1	270	313	444	758	175	303	22	6	312	97	—	—	—	—	—	—
2017	21	A MLE	Charleston RiverDogs	—	314	293	70	14	0	2	14	74	3	0	5	239	281	307	588	68	301	24	4	254	58	—	—	—	—	—	—
2018	22	A+ MLE	Tampa Tarpons	—	94	87	19	5	0	0	4	31	2	0	0	218	269	276	545	57	326	33	4	240	49	—	—	—	—	—	—
2019	23	A+ MLE	Tampa Tarpons	—	247	231	39	10	1	2	13	73	2	0	1	169	220	247	466	78	234	30	5	205	25	—	—	—	—	—	—
2021	25	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	165	151	38	6	0	5	12	39	0	0	1	252	307	391	697	139	293	24	7	301	90	—	—	—	—	—	—
2021	25	AA MLE	Somerset Patriots	—	215	199	45	10	0	8	11	30	3	2	0	226	277	397	674	171	219	14	5	281	76	—	—	—	—	—	—
2022	26	AAA MLE	Lehigh Valley IronPigs	—	242	215	59	8	0	4	24	54	0	1	0	274	347	367	715	93	337	22	10	315	99	—	—	—	—	—	—
2023	27	AAA MLE	Toledo Mud Hens	—	371	334	66	18	1	4	31	89	1	1	2	198	268	293	561	96	248	24	8	251	56	—	—	—	—	—	—
2023	27	AA MLE	Erie SeaWolves	—	19	19	5	0	0	1	0	10	0	0	0	263	263	421	684	158	461	53	0	233	44	—	—	—	—	—	—
2024	28	AAA MLE	Sacramento River Cats	—	56	53	9	1	0	0	3	18	0	0	0	170	214	189	403	19	238	32	5	177	6	—	—	—	—	—	—
2015	19	ROK MLE	2 teams	—	220	200	52	8	0	0	16	29	3	7	5	260	324	300	624	40	302	13	7	276	73	—	—	—	—	—	—
2015	19	ROK RAW	2 teams	—	220	191	59	10	0	0	25	20	3	7	5	309	397	361	759	52	343	9	11	349	73	—	—	—	—	—	—
2016	20	ROK MLE	Pulaski Yankees	—	122	114	27	3	0	2	5	18	1	2	0	237	275	316	591	79	260	15	4	248	54	—	—	—	—	—	—
2016	20	ROK RAW	Pulaski Yankees	—	122	112	32	4	0	2	7	13	1	2	0	286	333	375	708	89	303	11	6	315	54	—	—	—	—	—	—
2017	21	A MLE	2 teams	—	382	357	85	18	0	3	17	89	3	1	6	238	279	314	592	76	305	23	4	264	65	—	—	—	—	—	—
2017	21	A RAW	2 teams	—	382	348	96	22	0	4	26	63	3	1	6	276	332	374	705	98	323	16	7	315	65	—	—	—	—	—	—
2018	22	A+ MLE	Tampa Tarpons	—	94	87	19	5	0	0	4	31	2	0	0	218	269	276	545	57	333	33	4	240	49	—	—	—	—	—	—
2018	22	A+ RAW	Tampa Tarpons	—	94	86	23	5	0	0	5	22	2	0	0	267	323	326	648	58	354	23	5	294	49	—	—	—	—	—	—
2019	23	A+ MLE	2 teams	—	309	290	48	13	1	2	16	91	2	0	1	166	214	238	452	72	232	29	5	205	25	—	—	—	—	—	—
2019	23	A+ RAW	2 teams	—	309	280	61	15	1	3	26	63	2	0	1	218	289	311	600	93	270	20	8	274	25	—	—	—	—	—	—
2021	25	AA MLE	2 teams	—	380	351	82	15	0	13	22	68	3	2	1	234	285	387	672	154	252	18	6	290	82	—	—	—	—	—	—
2021	25	AA RAW	2 teams	—	380	341	89	16	0	18	32	57	3	2	1	261	330	466	796	205	263	15	8	348	82	—	—	—	—	—	—
2022	26	AAA MLE	Lehigh Valley IronPigs	—	242	215	59	8	0	4	24	54	0	1	0	274	347	367	715	93	344	22	10	315	99	—	—	—	—	—	—
2022	26	AAA RAW	Lehigh Valley IronPigs	—	242	201	62	9	0	5	38	44	0	1	0	308	418	428	846	119	368	18	16	380	99	—	—	—	—	—	—
2023	27	AAA MLE	2 teams	—	390	353	71	18	1	5	31	100	1	1	2	201	268	300	568	99	261	26	8	250	55	—	—	—	—	—	—
2023	27	AAA RAW	2 teams	—	390	339	78	24	1	6	45	82	1	1	2	230	322	360	682	130	281	21	12	307	55	—	—	—	—	—	—
2024	28	AAA MLE	Sacramento River Cats	—	56	53	9	1	0	0	3	18	0	0	0	170	214	189	403	19	257	32	5	177	6	—	—	—	—	—	—
2024	28	AAA RAW	Sacramento River Cats	—	56	51	9	1	0	0	5	16	0	0	0	176	250	196	446	20	257	29	9	215	6	—	—	—	—	—	—
2025	29	INTL MLE	Tucson Baseball Team	—	48	44	3	0	0	0	3	19	1	0	0	68	146	68	214		120	40	6	—	—	—	—	—	—	—	—
2025	29	INTL RAW	Tucson Baseball Team	—	48	44	3	0	0	0	3	19	1	0	0	68	146	68	214		120	40	6	115	-36	—	—	—	—	—	—
2015	19	ROK MLE	2 teams	—	220	199	52	8	0	0	16	29	3	7	5	261	324	302	626	40	295	13	7	276	73	—	—	—	—	—	—
2016	20	ROK MLE	Pulaski Yankees	—	122	115	27	3	0	2	5	18	1	2	0	235	275	313	588	78	251	15	4	248	54	—	—	—	—	—	—
2017	21	A MLE	2 teams	—	382	359	85	18	0	3	17	89	3	1	6	237	279	312	590	75	301	23	4	264	65	—	—	—	—	—	—
2018	22	A+ MLE	Tampa Tarpons	—	94	88	19	5	0	0	4	31	2	0	0	216	269	273	542	57	326	33	4	240	49	—	—	—	—	—	—
2019	23	A+ MLE	2 teams	—	309	288	48	13	1	2	16	91	2	0	1	167	214	240	454	73	234	29	5	205	25	—	—	—	—	—	—
2021	25	AA MLE	2 teams	—	380	352	82	15	0	13	22	68	3	2	1	233	285	386	671	153	251	18	6	290	82	—	—	—	—	—	—
2022	26	AAA MLE	Lehigh Valley IronPigs	—	242	216	59	8	0	4	24	54	0	1	0	273	347	366	713	93	337	22	10	315	99	—	—	—	—	—	—
2023	27	AAA MLE	2 teams	—	390	355	71	18	1	5	31	100	1	1	2	200	268	299	566	99	258	26	8	250	55	—	—	—	—	—	—
2024	28	AAA MLE	Sacramento River Cats	—	56	53	9	1	0	0	3	18	0	0	0	170	214	189	403	19	238	32	5	177	6	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	28	AAA MLE	Sacramento River Cats	—	56	53	9	1	0	0	3	18	0	0	0	170	214	189	403	19	238	32	5	177	6	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2243	2064	455	89	2	29	141	517	16	14	15	220	276	308	583	87	277	23	6	255	59	-110	-3	+0	+40	+49	-2.5
/ 162G	—	MLE		—	650	598	132	26	1	8	41	150	5	4	4	221	276	308	584	87	278	23	6	255	59	-32	-1	+0	+12	+14	-0.7

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 AAASacramento River Cats · 56 PAwOBA .210 → .177 (−33)K% 28.6% → 31.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷1.081	×1.200	—	—	31.71%
BB% (unintentional) /PA	8.93%	÷1.032	×0.690	—	×0.992	5.92%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	22.86%	÷0.976	×0.930	—	×0.992	21.60%
Doubles /BIP	2.86%	÷1.052	×0.830	—	×0.992	2.24%
Triples /BIP	0.00%	÷1.091	×0.970	—	×0.992	0.00%
Home runs /BIP	0.00%	÷1.010	×0.700	—	×0.992	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 95, 2B 110, 3B 118, K 116, BB 106 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average).

Result: wOBA .210 → .177; ISO .020 → .015; BABIP .257 → .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).

2023 AAAToledo Mud Hens · 371 PAwOBA .301 → .251 (−50)K% 19.9% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.95%	÷0.995	×1.200	—	—	24.05%
BB% (unintentional) /PA	12.13%	÷1.006	×0.690	—	×1.003	8.35%
HBP% /PA	0.27%	—	×0.940	—	×1.003	0.25%
Singles /BIP	17.07%	÷0.965	×0.930	×1.042	×1.003	17.20%
Doubles /BIP	9.76%	÷1.156	×0.830	×1.042	×1.003	7.32%
Triples /BIP	0.41%	÷1.150	×0.970	×1.042	×1.003	0.36%
Home runs /BIP	2.03%	÷0.901	×0.700	—	×1.003	1.58%

Factors used: league row International League. Park (home-season share, regressed): HR 80, 1B 93, 2B 131, 3B 130, K 99, BB 101 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.042.

Result: wOBA .301 → .251; ISO .128 → .100; BABIP .272 → .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).

2023 AAErie SeaWolves · 19 PAwOBA .337 → .233 (−105)K% 42.1% → 54.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	42.11%	÷0.944	×1.220	—	—	54.44%
BB% (unintentional) /PA	0.00%	÷1.063	×0.700	—	×0.978	0.00%
HBP% /PA	0.00%	—	×0.850	—	×0.978	0.00%
Singles /BIP	45.45%	÷1.002	×0.970	—	×0.978	43.03%
Doubles /BIP	0.00%	÷0.924	×0.860	—	×0.978	0.00%
Triples /BIP	0.00%	÷1.145	×0.950	—	×0.978	0.00%
Home runs /BIP	9.09%	÷1.055	×0.780	—	×0.978	6.57%

Factors used: league row EL. Park (home-season share, regressed): HR 111, 1B 100, 2B 85, 3B 129, K 89, BB 113 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .337 → .233; ISO .158 → .090; BABIP .500 → .461. 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 AAALehigh Valley IronPigs · 242 PAwOBA .374 → .315 (−58)K% 18.2% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷0.970	×1.200	—	—	22.50%
BB% (unintentional) /PA	15.29%	÷1.067	×0.690	—	×1.018	10.07%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	30.57%	÷1.007	×0.930	×1.004	×1.018	28.85%
Doubles /BIP	5.73%	÷1.018	×0.830	×1.004	×1.018	4.77%
Triples /BIP	0.00%	÷0.900	×0.970	×1.004	×1.018	0.00%
Home runs /BIP	3.18%	÷1.039	×0.700	—	×1.018	2.18%

Factors used: league row International League. Park (home-season share, regressed): HR 108, 1B 101, 2B 104, 3B 80, K 94, BB 113 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .374 → .315; ISO .119 → .092; BABIP .368 → .337. 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 AASomerset Patriots · 215 PAwOBA .334 → .281 (−53)K% 11.6% → 13.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.63%	÷1.024	×1.220	—	—	13.86%
BB% (unintentional) /PA	7.44%	÷1.036	×0.690	—	×0.998	4.95%
HBP% /PA	1.40%	—	×0.850	—	×0.998	1.18%
Singles /BIP	17.16%	÷1.008	×0.940	×0.980	×0.998	15.66%
Doubles /BIP	5.92%	÷0.905	×0.870	×0.980	×0.998	5.56%
Triples /BIP	0.00%	÷0.900	×0.920	×0.980	×0.998	0.00%
Home runs /BIP	5.92%	÷1.053	×0.780	—	×0.998	4.37%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 102, 2B 81, 3B 80, K 105, BB 107 — 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 ×0.980.

Result: wOBA .334 → .281; ISO .206 → .166; BABIP .242 → .219. 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 AAAScranton/Wilkes-Barre RailRiders · 165 PAwOBA .352 → .301 (−52)K% 19.4% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.39%	÷0.993	×1.200	—	—	23.43%
BB% (unintentional) /PA	9.70%	÷0.973	×0.690	—	×1.033	7.10%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	22.61%	÷0.974	×0.930	×1.048	×1.033	23.36%
Doubles /BIP	5.22%	÷0.915	×0.830	×1.048	×1.033	5.12%
Triples /BIP	0.00%	÷1.150	×0.920	×1.048	×1.033	0.00%
Home runs /BIP	6.96%	÷1.149	×0.700	—	×1.033	4.38%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 130, 1B 95, 2B 83, 3B 130, K 99, BB 95 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .352 → .301; ISO .204 → .142; BABIP .294 → .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).

2019 A+Tampa Tarpons · 247 PAwOBA .265 → .205 (−60)K% 20.6% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.65%	÷0.989	×1.420	—	—	29.64%
BB% (unintentional) /PA	7.29%	÷1.055	×0.750	—	×0.998	5.17%
HBP% /PA	0.81%	—	×0.930	—	×0.998	0.75%
Singles /BIP	20.00%	÷1.072	×0.920	×0.950	×0.998	16.27%
Doubles /BIP	6.86%	÷0.954	×0.960	×0.950	×0.998	6.54%
Triples /BIP	0.57%	÷0.900	×0.810	×0.950	×0.998	0.49%
Home runs /BIP	1.14%	÷0.960	×0.880	—	×0.998	1.05%

Factors used: league row FSL. Park (home-season share, regressed): HR 92, 1B 114, 2B 91, 3B 80, K 98, BB 111 — 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 ×0.950.

Result: wOBA .265 → .205; ISO .088 → .075; BABIP .276 → .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).

2018 A+Tampa Tarpons · 94 PAwOBA .290 → .240 (−50)K% 23.4% → 33.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.40%	÷1.004	×1.420	—	—	33.09%
BB% (unintentional) /PA	5.32%	÷1.015	×0.750	—	×1.012	3.98%
HBP% /PA	2.13%	—	×0.930	—	×1.012	2.00%
Singles /BIP	28.12%	÷1.003	×0.920	×0.957	×1.012	24.99%
Doubles /BIP	7.81%	÷0.891	×0.960	×0.957	×1.012	8.15%
Triples /BIP	0.00%	÷0.983	×0.810	×0.957	×1.012	0.00%
Home runs /BIP	0.00%	÷1.205	×0.880	—	×1.012	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 141, 1B 101, 2B 78, 3B 97, K 101, BB 103 — 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 ×0.957.

Result: wOBA .290 → .240; ISO .058 → .054; BABIP .354 → .326. 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 — .