Sheldon Neuse

Pos3B

B/TR/R

Born1994-12-10

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	24	AAAOAK	560	.317/.391/.550	27	3	93	—	.240/.301/.396
2019	24	MLBOakland Athle…	61	.250/.300/.304	0	0	69	0.2
2021	26	AAAOklahoma City…	349	.293/.357/.478	13	6	95	—	.266/.313/.406
2021	26	MLBLAD	66	.169/.182/.323	3	1	35	-0.2
2022	27	AAAOAK	113	.398/.414/.611	5	2	138	—	.358/.369/.505
2022	27	MLBOakland Athle…	293	.214/.273/.288	4	6	63	-0.9
2023	28	No MLB games played
2024	29	No MLB games played
2025	30	No MLB games played
2026	31	No MLB games played

Last 3 seasons WAR -0.9

Contract

No contract data on file.

Skills · percentileStatcast 2019-2022

Avg EV52

Speed27

Barrel%25

xwOBA11

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)
2017	22	AA	Midland RockHounds	—	75	67	25	4	0	0	6	21	1	0	0	373	432	433	865	60	532	28	8	387	86	—	—	—	—	—	—
2017	22	A+	Stockton Ports	—	94	83	32	3	0	7	9	25	2	2	0	386	457	675	1.132	289	490	27	10	490	124	—	—	—	—	—	—
2017	22	A	Hagerstown Suns	—	321	292	85	19	3	9	25	66	2	12	5	291	351	469	820	178	347	21	8	361	78	—	—	—	—	—	—
2017	22	INTL	Mesa Solar Sox	—	93	86	27	7	0	5	7	16	0	0	0	314	366	570	935	256	338	17	8	407	162	—	—	—	—	—	—
2018	23	AAA	Nashville Sounds	—	537	499	131	26	3	5	32	172	0	4	1	263	307	357	664	94	385	32	6	296	47	—	—	—	—	—	—
2019	24	MLB	Oakland Athletics	—	61	56	14	3	0	0	4	19	0	0	0	250	300	304	604	54	368	31	7	272	69	-2	+0	+1	+2	+1	0.2
2019	24	AAA	Las Vegas Aviators	—	560	498	158	31	2	27	56	132	4	3	3	317	391	550	941	233	384	24	10	411	93	—	—	—	—	—	—
2021	26	MLB	Los Angeles Dodgers	—	66	65	11	1	0	3	1	26	0	1	1	169	182	323	505	154	222	39	2	221	35	-5	-0	+0	+1	+1	-0.2
2021	26	AAA	Oklahoma City Dodgers	—	349	314	92	13	3	13	29	84	2	6	0	293	357	478	834	185	357	24	8	365	95	—	—	—	—	—	—
2022	27	MLB	Oakland Athletics	—	293	271	58	4	2	4	20	80	2	6	1	214	273	288	561	74	289	27	7	258	63	-13	+1	-5	+1	+6	-0.9
2022	27	AAA	Las Vegas Aviators	—	113	108	43	6	1	5	3	22	0	2	0	398	414	611	1.026	213	458	19	3	441	138	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	420	392	83	8	2	7	25	125	2	7	2	212	263	296	558	84	291	30	6	254	58	-21	+1	-3	+5	+9	-1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2017	22	AA MLE	Midland RockHounds	—	75	69	19	3	0	0	4	27	1	0	0	275	324	319	643	43	444	36	5	296	86	—	—	—	—	—	—
2017	22	A+ MLE	Stockton Ports	—	94	86	25	2	0	4	6	33	2	2	0	291	351	453	805	163	429	35	6	352	124	—	—	—	—	—	—
2017	22	A MLE	Hagerstown Suns	—	321	303	73	13	3	8	14	88	2	12	5	241	279	383	662	142	307	27	4	284	78	—	—	—	—	—	—
2018	23	AAA MLE	Nashville Sounds	—	537	507	110	21	2	4	24	211	0	4	1	217	252	290	542	73	348	39	4	238	47	—	—	—	—	—	—
2019	24	MLB MLE	Oakland Athletics	—	61	56	14	3	0	0	4	19	0	0	0	250	300	304	604	54	368	31	7	271	69	-2	+0	+1	+2	+1	0.2
2019	24	AAA MLE	Las Vegas Aviators	—	560	513	123	24	1	18	41	172	4	3	3	240	301	396	697	156	322	31	7	306	93	—	—	—	—	—	—
2021	26	MLB MLE	Los Angeles Dodgers	—	66	65	11	1	0	3	1	26	0	1	1	169	182	323	505	154	222	39	2	219	35	-5	-0	+0	+1	+1	-0.2
2021	26	AAA MLE	Oklahoma City Dodgers	—	349	323	86	12	3	9	20	101	2	6	0	266	313	406	719	139	345	29	6	308	95	—	—	—	—	—	—
2022	27	MLB MLE	Oakland Athletics	—	293	271	58	4	2	4	20	80	2	6	1	214	273	288	561	74	289	27	7	261	63	-13	+1	-5	+1	+6	-0.9
2022	27	AAA MLE	Las Vegas Aviators	—	113	109	39	5	1	3	2	26	0	2	0	358	369	505	874	147	422	23	2	372	138	—	—	—	—	—	—
2017	22	A MLE	4 teams	—	583	547	139	22	3	14	28	176	5	14	5	254	297	382	679	128	347	30	5	299	88	—	—	—	—	—	—
2017	22	A RAW	4 teams	—	583	528	169	33	3	21	47	128	5	14	5	320	381	513	894	193	387	22	8	392	88	—	—	—	—	—	—
2018	23	AAA MLE	Nashville Sounds	—	537	507	110	21	2	4	24	211	0	4	1	217	252	290	542	73	357	39	4	238	47	—	—	—	—	—	—
2018	23	AAA RAW	Nashville Sounds	—	537	499	131	26	3	5	32	172	0	4	1	263	307	357	664	94	385	32	6	296	47	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	621	569	137	27	1	18	45	191	4	3	3	241	301	387	688	146	328	31	7	303	91	—	—	—	—	—	—
2019	24	AAA RAW	2 teams	—	621	554	172	34	2	27	60	151	4	3	3	310	382	525	907	215	383	24	10	397	91	—	—	—	—	—	—
2021	26	AAA MLE	2 teams	—	415	388	97	13	3	12	21	127	2	7	1	250	292	392	684	142	336	31	5	294	85	—	—	—	—	—	—
2021	26	AAA RAW	2 teams	—	415	379	103	14	3	16	30	110	2	7	1	272	328	451	780	179	339	27	7	342	85	—	—	—	—	—	—
2022	27	MLB MLE	2 teams	—	406	380	98	9	3	8	22	106	2	8	1	258	302	361	663	103	336	26	5	292	84	-8	+1	-5	+1	+9	-0.1
2022	27	MLB RAW	2 teams	—	406	379	101	10	3	9	23	102	2	8	1	266	312	380	692	113	341	25	6	309	84	-8	+1	-5	+1	+9	-0.1
2017	22	A MLE	4 teams	—	583	545	139	22	3	14	28	176	5	14	5	255	297	383	680	128	351	30	5	299	88	—	—	—	—	—	—
2018	23	AAA MLE	Nashville Sounds	—	537	508	110	21	2	4	24	211	0	4	1	217	252	289	542	73	348	39	4	238	47	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	621	567	137	27	1	18	45	191	4	3	3	242	301	388	689	146	327	31	7	303	91	—	—	—	—	—	—
2021	26	AAA MLE	2 teams	—	415	389	97	13	3	12	21	127	2	7	1	249	292	391	683	141	325	31	5	294	85	—	—	—	—	—	—
2022	27	MLB MLE	2 teams	—	406	379	98	9	3	8	22	106	2	8	1	259	302	361	663	103	326	26	5	292	84	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	420	392	83	8	2	7	25	125	2	7	2	212	263	296	558	84	291	30	6	254	79	-21	+1	-3	+5	+9	-1.0
/ 162G	—	A+C		—	650	607	128	12	3	11	39	193	3	11	3	211	262	295	557	84	289	30	6	254	79	-32	+1	-5	+8	+14	-1.5
Career	—	MLE		—	2562	2391	581	92	12	56	140	811	13	36	11	243	289	362	650	119	341	32	5	285	79	-21	+1	-3	+5	+9	-1.0
/ 162G	—	MLE		—	650	607	147	23	3	14	36	206	3	9	3	242	288	359	647	117	340	32	6	285	79	-32	+1	-5	+8	+14	-1.5

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.

2022 AAALas Vegas Aviators · 113 PAwOBA .436 → .372 (−64)K% 19.5% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.47%	÷1.009	×1.200	—	—	23.15%
BB% (unintentional) /PA	2.65%	÷0.992	×0.690	—	×0.992	1.83%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	36.05%	÷0.995	×0.930	×1.043	×0.992	34.85%
Doubles /BIP	6.98%	÷1.088	×0.830	×1.043	×0.992	5.51%
Triples /BIP	1.16%	÷0.900	×0.970	×1.043	×0.992	1.30%
Home runs /BIP	5.81%	÷1.075	×0.700	—	×0.992	3.75%

Factors used: league row International League. Park (home-season share, regressed): HR 115, 1B 99, 2B 118, 3B 80, K 102, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .436 → .372; ISO .213 → .152; BABIP .458 → .422. 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 AAAOklahoma City Dodgers · 349 PAwOBA .359 → .308 (−51)K% 24.1% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.07%	÷0.994	×1.200	—	—	29.05%
BB% (unintentional) /PA	8.31%	÷1.015	×0.690	—	×1.003	5.67%
HBP% /PA	0.57%	—	×0.940	—	×1.003	0.54%
Singles /BIP	27.39%	÷0.958	×0.930	×1.024	×1.003	27.31%
Doubles /BIP	5.65%	÷0.941	×0.830	×1.024	×1.003	5.12%
Triples /BIP	1.30%	÷0.900	×0.920	×1.024	×1.003	1.37%
Home runs /BIP	5.65%	÷1.016	×0.700	—	×1.003	3.91%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 92, 2B 88, 3B 80, K 99, BB 103 — 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 ×1.024.

Result: wOBA .359 → .308; ISO .185 → .141; BABIP .357 → .345. 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 AAALas Vegas Aviators · 560 PAwOBA .400 → .306 (−95)K% 23.6% → 30.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.57%	÷0.990	×1.290	—	—	30.70%
BB% (unintentional) /PA	9.82%	÷0.985	×0.710	—	×1.033	7.31%
HBP% /PA	0.71%	—	×0.980	—	×1.033	0.72%
Singles /BIP	26.78%	÷1.018	×0.900	×0.950	×1.033	23.23%
Doubles /BIP	8.47%	÷0.951	×0.810	×0.950	×1.033	7.08%
Triples /BIP	0.55%	÷1.102	×0.810	×0.950	×1.033	0.39%
Home runs /BIP	7.38%	÷1.119	×0.780	—	×1.033	5.31%

Factors used: league row PCL. Park (home-season share, regressed): HR 124, 1B 104, 2B 90, 3B 120, K 98, BB 97 — 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 ×0.950.

Result: wOBA .400 → .306; ISO .233 → .164; BABIP .384 → .322. 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 AAANashville Sounds · 537 PAwOBA .290 → .238 (−52)K% 32.0% → 39.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.03%	÷1.055	×1.290	—	—	39.15%
BB% (unintentional) /PA	5.77%	÷0.966	×0.710	—	×1.048	4.45%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	29.66%	÷0.986	×0.900	×0.962	×1.048	27.31%
Doubles /BIP	7.95%	÷0.937	×0.810	×0.962	×1.048	6.93%
Triples /BIP	0.92%	÷1.150	×0.810	×0.962	×1.048	0.65%
Home runs /BIP	1.53%	÷0.988	×0.780	—	×1.048	1.26%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 87, 3B 130, K 111, BB 93 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .290 → .238; ISO .094 → .073; BABIP .385 → .348. 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 AHagerstown Suns · 321 PAwOBA .352 → .284 (−68)K% 20.6% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.56%	÷1.009	×1.340	—	—	27.31%
BB% (unintentional) /PA	7.48%	÷1.101	×0.660	—	×0.990	4.44%
HBP% /PA	0.62%	—	×0.770	—	×0.990	0.47%
Singles /BIP	23.89%	÷0.986	×0.920	×1.025	×0.990	22.61%
Doubles /BIP	8.41%	÷1.156	×0.820	×1.025	×0.990	6.05%
Triples /BIP	1.33%	÷1.043	×0.940	×1.025	×0.990	1.21%
Home runs /BIP	3.98%	÷0.909	×0.820	—	×0.990	3.56%

Factors used: league row SAL. Park (home-season share, regressed): HR 82, 1B 97, 2B 131, 3B 109, K 102, BB 120 — 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 ×1.025.

Result: wOBA .352 → .284; ISO .178 → .143; BABIP .347 → .307. 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 A+Stockton Ports · 94 PAwOBA .476 → .352 (−125)K% 26.6% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.60%	÷1.010	×1.340	—	—	35.29%
BB% (unintentional) /PA	9.57%	÷1.115	×0.710	—	×0.998	6.08%
HBP% /PA	2.13%	—	×0.790	—	×0.998	1.68%
Singles /BIP	37.93%	÷0.979	×0.910	—	×0.998	35.17%
Doubles /BIP	5.17%	÷0.972	×0.820	—	×0.998	4.35%
Triples /BIP	0.00%	÷0.900	×0.760	—	×0.998	0.00%
Home runs /BIP	12.07%	÷1.397	×0.920	—	×0.998	7.93%

Factors used: league row CAL. Park (home-season share, regressed): HR 179, 1B 96, 2B 94, 3B 80, K 102, BB 123 — 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).

Result: wOBA .476 → .352; ISO .289 → .182; BABIP .490 → .429. 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 AAMidland RockHounds · 75 PAwOBA .379 → .296 (−83)K% 28.0% → 36.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.00%	÷0.939	×1.220	—	—	36.40%
BB% (unintentional) /PA	6.67%	÷0.990	×0.700	—	×1.027	4.84%
HBP% /PA	1.33%	—	×0.870	—	×1.027	1.19%
Singles /BIP	45.65%	÷1.142	×0.920	—	×1.027	37.78%
Doubles /BIP	8.70%	÷0.987	×0.840	—	×1.027	7.60%
Triples /BIP	0.00%	÷0.977	×0.940	—	×1.027	0.00%
Home runs /BIP	0.00%	÷0.862	×0.800	—	×1.027	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 72, 1B 128, 2B 97, 3B 95, K 88, BB 98 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .379 → .296; ISO .060 → .049; BABIP .532 → .444. 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 — .