Ariel Sandoval

PosRF

B/TR/R

Born1995-11-06

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	22	AClinton Lumbe…	525	.242/.314/.409	18	14	36	—	.168/.224/.277
2019	23	A+Modesto Nuts	385	.239/.292/.380	6	13	31	—	.173/.214/.280
2022	26	INTLPanama	24	.227/.292/.500	1	0	118	—

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)
2013	17	ROK	DSL Dodgers	—	265	243	62	7	2	0	15	39	1	19	12	255	301	300	602	45	301	15	6	269	8	—	—	—	—	—	—
2014	18	ROK	AZL Dodgers	—	150	140	31	7	1	2	7	29	0	6	0	221	259	329	587	107	266	19	5	258	13	—	—	—	—	—	—
2015	19	ROK	AZL Dodgers	—	206	200	65	11	2	8	3	49	1	10	4	325	338	520	858	195	396	24	1	372	49	—	—	—	—	—	—
2016	20	A+	Rancho Cucamonga Quakes	—	206	188	43	9	2	3	11	59	4	5	1	229	286	346	631	117	312	29	5	281	30	—	—	—	—	—	—
2016	20	A	Great Lakes Loons	—	310	287	70	20	3	11	15	77	4	9	8	244	290	449	739	206	292	25	5	321	56	—	—	—	—	—	—
2017	21	A+	Rancho Cucamonga Quakes	—	210	192	41	7	0	8	17	75	1	4	3	214	281	375	656	161	303	36	8	294	20	—	—	—	—	—	—
2018	22	A	Clinton LumberKings	—	525	472	114	19	3	18	47	173	3	14	7	242	314	409	723	167	338	33	9	321	36	—	—	—	—	—	—
2019	23	A+	Modesto Nuts	—	385	355	85	26	3	6	24	108	3	13	3	239	292	380	673	141	326	28	6	298	31	—	—	—	—	—	—
2022	26	INTL	Panama	—	24	22	5	3	0	1	2	6	0	0	0	227	292	500	792	273	267	25	8	343	118	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	17	ROK MLE	DSL Dodgers	—	265	247	42	4	1	0	11	48	1	19	12	170	208	194	403	24	203	18	4	180	8	—	—	—	—	—	—
2014	18	ROK MLE	AZL Dodgers	—	150	143	24	5	1	1	4	42	0	6	0	168	190	238	428	70	219	28	3	187	13	—	—	—	—	—	—
2015	19	ROK MLE	AZL Dodgers	—	206	201	43	7	1	5	2	71	1	10	4	214	225	333	559	119	296	34	1	241	49	—	—	—	—	—	—
2016	20	A+ MLE	Rancho Cucamonga Quakes	—	206	191	34	7	1	3	8	81	4	5	1	178	227	272	499	94	274	39	4	213	30	—	—	—	—	—	—
2016	20	A MLE	Great Lakes Loons	—	310	293	58	16	3	8	10	106	4	9	8	198	235	355	589	157	265	34	3	251	56	—	—	—	—	—	—
2017	21	A+ MLE	Rancho Cucamonga Quakes	—	210	198	29	4	0	6	11	102	1	4	3	146	195	258	453	111	256	49	5	198	20	—	—	—	—	—	—
2018	22	A MLE	Clinton LumberKings	—	525	488	82	13	2	12	32	237	3	14	7	168	224	277	501	109	287	45	6	222	36	—	—	—	—	—	—
2019	23	A+ MLE	Modesto Nuts	—	385	364	63	17	2	6	16	148	3	13	3	173	214	280	494	107	264	38	4	214	31	—	—	—	—	—	—
2013	17	ROK MLE	DSL Dodgers	—	265	247	42	4	1	0	11	48	1	19	12	170	208	194	403	24	209	18	4	180	8	—	—	—	—	—	—
2013	17	ROK RAW	DSL Dodgers	—	265	243	62	7	2	0	15	39	1	19	12	255	301	300	602	45	301	15	6	269	8	—	—	—	—	—	—
2014	18	ROK MLE	AZL Dodgers	—	150	143	24	5	1	1	4	42	0	6	0	168	190	238	428	70	230	28	3	187	13	—	—	—	—	—	—
2014	18	ROK RAW	AZL Dodgers	—	150	140	31	7	1	2	7	29	0	6	0	221	259	329	587	107	266	19	5	258	13	—	—	—	—	—	—
2015	19	ROK MLE	AZL Dodgers	—	206	201	43	7	1	5	2	71	1	10	4	214	225	333	559	119	302	34	1	241	49	—	—	—	—	—	—
2015	19	ROK RAW	AZL Dodgers	—	206	200	65	11	2	8	3	49	1	10	4	325	338	520	858	195	396	24	1	372	49	—	—	—	—	—	—
2016	20	A MLE	2 teams	—	516	485	92	23	4	11	17	186	8	14	9	190	229	322	551	132	276	36	3	236	46	—	—	—	—	—	—
2016	20	A RAW	2 teams	—	516	475	113	29	5	14	26	136	8	14	9	238	288	408	697	171	300	26	5	305	46	—	—	—	—	—	—
2017	21	A+ MLE	Rancho Cucamonga Quakes	—	210	198	29	4	0	6	11	102	1	4	3	146	195	258	453	111	256	49	5	198	20	—	—	—	—	—	—
2017	21	A+ RAW	Rancho Cucamonga Quakes	—	210	192	41	7	0	8	17	75	1	4	3	214	281	375	656	161	303	36	8	294	20	—	—	—	—	—	—
2018	22	A MLE	Clinton LumberKings	—	525	487	82	13	2	12	32	237	3	14	7	168	224	277	501	109	290	45	6	222	36	—	—	—	—	—	—
2018	22	A RAW	Clinton LumberKings	—	525	472	114	19	3	18	47	173	3	14	7	242	314	409	723	167	338	33	9	321	36	—	—	—	—	—	—
2019	23	A+ MLE	Modesto Nuts	—	385	364	63	17	2	6	16	148	3	13	3	173	214	280	494	107	270	38	4	214	31	—	—	—	—	—	—
2019	23	A+ RAW	Modesto Nuts	—	385	355	85	26	3	6	24	108	3	13	3	239	292	380	673	141	326	28	6	298	31	—	—	—	—	—	—
2022	26	INTL MLE	Panama	—	24	22	5	3	0	1	2	6	0	0	0	227	292	500	792	273	267	25	8	—	—	—	—	—	—	—	—
2022	26	INTL RAW	Panama	—	24	22	5	3	0	1	2	6	0	0	0	227	292	500	792	273	267	25	8	343	118	—	—	—	—	—	—
2013	17	ROK MLE	DSL Dodgers	—	265	251	42	4	1	0	11	48	1	19	12	167	208	191	400	24	203	18	4	180	8	—	—	—	—	—	—
2014	18	ROK MLE	AZL Dodgers	—	150	145	24	5	1	1	4	42	0	6	0	166	190	234	425	69	219	28	3	187	13	—	—	—	—	—	—
2015	19	ROK MLE	AZL Dodgers	—	206	201	43	7	1	5	2	71	1	10	4	214	225	333	559	119	296	34	1	241	49	—	—	—	—	—	—
2016	20	A MLE	2 teams	—	516	486	92	23	4	11	17	186	8	14	9	189	229	321	550	132	269	36	3	236	46	—	—	—	—	—	—
2017	21	A+ MLE	Rancho Cucamonga Quakes	—	210	196	29	4	0	6	11	102	1	4	3	148	195	260	455	112	256	49	5	198	20	—	—	—	—	—	—
2018	22	A MLE	Clinton LumberKings	—	525	485	82	13	2	12	32	237	3	14	7	169	224	278	502	109	287	45	6	222	36	—	—	—	—	—	—
2019	23	A+ MLE	Modesto Nuts	—	385	363	63	17	2	6	16	148	3	13	3	174	214	281	495	107	264	38	4	214	31	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2281	2147	380	76	11	42	95	840	17	80	38	177	218	281	499	104	265	37	4	214	31	-188	+1	+0	-24	+49	-16.5
/ 162G	—	MLE		—	650	612	109	22	3	12	27	239	5	23	11	178	219	283	502	105	266	37	4	214	31	-54	+0	+0	-7	+14	-4.7

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.

2019 A+Modesto Nuts · 385 PAwOBA .291 → .214 (−77)K% 28.1% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.05%	÷0.976	×1.340	—	—	38.51%
BB% (unintentional) /PA	6.23%	÷1.052	×0.710	—	×0.988	4.15%
HBP% /PA	0.78%	—	×0.790	—	×0.988	0.61%
Singles /BIP	20.24%	÷1.005	×0.910	×0.950	×0.988	17.20%
Doubles /BIP	10.53%	÷1.050	×0.820	×0.950	×0.988	7.72%
Triples /BIP	1.21%	÷1.022	×0.760	×0.950	×0.988	0.85%
Home runs /BIP	2.43%	÷0.768	×0.920	—	×0.988	2.88%

Factors used: league row CAL. Park (home-season share, regressed): HR 54, 1B 101, 2B 110, 3B 104, K 95, BB 110 — 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 ×0.950.

Result: wOBA .291 → .214; ISO .141 → .111; BABIP .326 → .264. 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 AClinton LumberKings · 525 PAwOBA .314 → .222 (−92)K% 33.0% → 45.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.95%	÷0.990	×1.360	—	—	45.25%
BB% (unintentional) /PA	8.76%	÷0.998	×0.690	—	×0.990	6.00%
HBP% /PA	0.57%	—	×0.780	—	×0.990	0.44%
Singles /BIP	24.75%	÷0.989	×0.920	×0.950	×0.990	21.65%
Doubles /BIP	6.35%	÷0.969	×0.830	×0.950	×0.990	5.12%
Triples /BIP	1.00%	÷0.900	×0.910	×0.950	×0.990	0.95%
Home runs /BIP	6.02%	÷1.013	×0.800	—	×0.990	4.71%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 98, 2B 94, 3B 80, K 98, BB 100 — 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 ×0.950.

Result: wOBA .314 → .222; ISO .167 → .114; BABIP .338 → .287. 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+Rancho Cucamonga Quakes · 210 PAwOBA .286 → .198 (−88)K% 35.7% → 48.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.71%	÷0.990	×1.340	—	—	48.36%
BB% (unintentional) /PA	8.10%	÷1.099	×0.710	—	×1.012	5.29%
HBP% /PA	0.48%	—	×0.790	—	×1.012	0.38%
Singles /BIP	22.22%	÷1.006	×0.910	×0.964	×1.012	19.61%
Doubles /BIP	5.98%	÷1.064	×0.820	×0.964	×1.012	4.50%
Triples /BIP	0.00%	÷1.150	×0.760	×0.964	×1.012	0.00%
Home runs /BIP	6.84%	÷1.085	×0.920	—	×1.012	5.87%

Factors used: league row CAL. Park (home-season share, regressed): HR 117, 1B 101, 2B 113, 3B 130, K 98, BB 120 — 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 ×0.964.

Result: wOBA .286 → .198; ISO .161 → .111; BABIP .303 → .256. 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 AGreat Lakes Loons · 310 PAwOBA .313 → .251 (−62)K% 24.8% → 34.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.84%	÷0.990	×1.360	—	—	34.11%
BB% (unintentional) /PA	4.52%	÷1.011	×0.690	—	×1.015	3.13%
HBP% /PA	1.29%	—	×0.780	—	×1.015	1.02%
Singles /BIP	17.14%	÷0.977	×0.920	×0.982	×1.015	16.08%
Doubles /BIP	9.52%	÷0.961	×0.830	×0.982	×1.015	8.19%
Triples /BIP	1.43%	÷0.900	×0.910	×0.982	×1.015	1.44%
Home runs /BIP	5.24%	÷0.960	×0.800	—	×1.015	4.43%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 95, 2B 92, 3B 80, K 98, BB 102 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .313 → .251; ISO .206 → .163; BABIP .292 → .265. 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 A+Rancho Cucamonga Quakes · 206 PAwOBA .276 → .213 (−63)K% 28.6% → 39.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.64%	÷0.979	×1.340	—	—	39.19%
BB% (unintentional) /PA	5.34%	÷1.046	×0.710	—	×1.027	3.72%
HBP% /PA	1.94%	—	×0.790	—	×1.027	1.58%
Singles /BIP	22.48%	÷1.043	×0.910	×0.994	×1.027	20.02%
Doubles /BIP	6.98%	÷0.938	×0.820	×0.994	×1.027	6.22%
Triples /BIP	1.55%	÷1.142	×0.760	×0.994	×1.027	1.05%
Home runs /BIP	2.33%	÷1.003	×0.920	—	×1.027	2.19%

Factors used: league row CAL. Park (home-season share, regressed): HR 101, 1B 109, 2B 88, 3B 128, K 96, BB 109 — 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 ×0.994.

Result: wOBA .276 → .213; ISO .117 → .091; BABIP .312 → .274. 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 ROKAZL Dodgers · 206 PAwOBA .363 → .241 (−122)K% 23.8% → 34.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.79%	÷1.000	×1.440	—	—	34.25%
BB% (unintentional) /PA	1.46%	÷1.000	×0.620	—	×0.995	0.90%
HBP% /PA	0.49%	—	×0.720	—	×0.995	0.35%
Singles /BIP	29.14%	÷1.000	×0.820	×0.955	×0.995	22.71%
Doubles /BIP	7.28%	÷1.000	×0.720	×0.955	×0.995	4.99%
Triples /BIP	1.32%	÷1.000	×0.720	×0.955	×0.995	0.91%
Home runs /BIP	5.30%	÷1.000	×0.780	—	×0.995	4.11%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .363 → .241; ISO .195 → .127; BABIP .396 → .296. 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).

2014 ROKAZL Dodgers · 150 PAwOBA .251 → .187 (−64)K% 19.3% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.33%	÷1.000	×1.440	—	—	27.84%
BB% (unintentional) /PA	4.67%	÷1.000	×0.620	—	×1.008	2.92%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	18.92%	÷1.000	×0.820	×1.035	×1.008	16.18%
Doubles /BIP	6.31%	÷1.000	×0.720	×1.035	×1.008	4.74%
Triples /BIP	0.90%	÷1.000	×0.720	×1.035	×1.008	0.68%
Home runs /BIP	1.80%	÷1.000	×0.780	—	×1.008	1.42%

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 ×1.035.

Result: wOBA .251 → .187; ISO .107 → .077; BABIP .266 → .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).

2013 DSLDSL Dodgers · 265 PAwOBA .265 → .180 (−84)K% 14.7% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.72%	÷1.000	×1.220	—	—	17.95%
BB% (unintentional) /PA	5.66%	÷1.000	×0.700	—	×1.008	3.99%
HBP% /PA	0.38%	—	×0.700	—	×1.008	0.27%
Singles /BIP	25.98%	÷1.000	×0.680	×1.002	×1.008	17.84%
Doubles /BIP	3.43%	÷1.000	×0.600	×1.002	×1.008	2.08%
Triples /BIP	0.98%	÷1.000	×0.600	×1.002	×1.008	0.59%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.008	0.00%

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 ×1.002.

Result: wOBA .265 → .180; ISO .045 → .028; BABIP .301 → .203. 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 — .