Jose King

PosSS

B/TL/R

Born1999-01-16

Age (2027)28

No MLB projection yet. Career stats below are historical.

Overview

A+LAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	20	ADET	193	.209/.284/.279	1	8	32	—	.181/.237/.243
2021	22	A+/ADET	312	.214/.275/.317	4	9	26	—	.171/.220/.251
2022	23	A+DET	210	.244/.284/.378	4	2	44	—	.204/.235/.321

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)
2016	17	ROK	DSL D-backs	—	274	240	84	7	4	0	21	36	2	21	3	350	407	412	819	62	406	13	8	356	62	—	—	—	—	—	—
2017	18	ROK	GCL Tigers West	—	169	158	48	3	3	0	9	49	2	10	11	304	349	361	710	57	440	29	5	322	37	—	—	—	—	—	—
2018	19	ROK	GCL Tigers West	—	95	86	27	2	3	2	4	21	4	5	4	314	372	477	849	163	397	22	4	373	61	—	—	—	—	—	—
2019	20	A	West Michigan Whitecaps	—	193	172	36	7	1	1	17	49	1	8	3	209	284	279	563	70	285	25	9	258	32	—	—	—	—	—	—
2021	22	A+	West Michigan Whitecaps	—	251	226	50	12	1	4	15	85	3	4	2	221	279	336	615	115	326	34	6	270	29	—	—	—	—	—	—
2021	22	A	Lakeland Flying Tigers	—	61	55	10	1	1	0	5	15	1	5	1	182	262	236	499	55	250	25	8	235	12	—	—	—	—	—	—
2022	23	A+	West Michigan Whitecaps	—	210	193	47	10	2	4	8	54	3	2	3	244	284	378	663	135	309	26	4	287	44	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	17	ROK MLE	DSL D-backs	—	274	247	64	5	3	0	14	44	2	21	3	259	304	304	608	45	292	16	5	260	62	—	—	—	—	—	—
2017	18	ROK MLE	GCL Tigers West	—	169	161	35	2	2	0	6	71	2	10	11	217	254	255	509	37	382	42	4	223	37	—	—	—	—	—	—
2018	19	ROK MLE	GCL Tigers West	—	95	88	19	1	2	1	2	30	4	5	4	216	266	307	573	91	313	32	2	258	61	—	—	—	—	—	—
2019	20	A MLE	West Michigan Whitecaps	—	193	177	32	6	1	1	12	63	1	8	3	181	237	243	480	62	266	33	6	216	32	—	—	—	—	—	—
2021	22	A+ MLE	West Michigan Whitecaps	—	251	230	40	9	1	3	11	120	3	4	2	174	221	261	482	87	309	48	4	211	29	—	—	—	—	—	—
2021	22	A MLE	Lakeland Flying Tigers	—	61	57	9	1	1	0	3	21	1	5	1	158	213	211	424	53	238	34	5	186	12	—	—	—	—	—	—
2022	23	A+ MLE	West Michigan Whitecaps	—	210	196	40	9	1	4	5	72	3	2	3	204	235	321	557	117	272	34	2	233	44	—	—	—	—	—	—
2016	17	ROK MLE	DSL D-backs	—	274	247	64	5	3	0	14	44	2	21	3	259	304	304	608	45	311	16	5	260	62	—	—	—	—	—	—
2016	17	ROK RAW	DSL D-backs	—	274	240	84	7	4	0	21	36	2	21	3	350	407	412	819	62	406	13	8	356	62	—	—	—	—	—	—
2017	18	ROK MLE	GCL Tigers West	—	169	161	35	2	2	0	6	71	2	10	11	217	254	255	509	37	389	42	4	223	37	—	—	—	—	—	—
2017	18	ROK RAW	GCL Tigers West	—	169	158	48	3	3	0	9	49	2	10	11	304	349	361	710	57	440	29	5	322	37	—	—	—	—	—	—
2018	19	ROK MLE	GCL Tigers West	—	95	88	19	1	2	1	2	30	4	5	4	216	266	307	573	91	316	32	2	258	61	—	—	—	—	—	—
2018	19	ROK RAW	GCL Tigers West	—	95	86	27	2	3	2	4	21	4	5	4	314	372	477	849	163	397	22	4	373	61	—	—	—	—	—	—
2019	20	A MLE	West Michigan Whitecaps	—	193	177	32	6	1	1	12	63	1	8	3	181	237	243	480	62	272	33	6	216	32	—	—	—	—	—	—
2019	20	A RAW	West Michigan Whitecaps	—	193	172	36	7	1	1	17	49	1	8	3	209	284	279	563	70	285	25	9	258	32	—	—	—	—	—	—
2021	22	A+ MLE	2 teams	—	312	287	49	10	2	3	14	140	4	9	3	171	220	251	471	80	311	45	4	206	26	—	—	—	—	—	—
2021	22	A+ RAW	2 teams	—	312	281	60	13	2	4	20	100	4	9	3	214	275	317	592	103	309	32	6	264	26	—	—	—	—	—	—
2022	23	A+ MLE	West Michigan Whitecaps	—	210	196	40	9	1	4	5	72	3	2	3	204	235	321	557	117	290	34	2	233	44	—	—	—	—	—	—
2022	23	A+ RAW	West Michigan Whitecaps	—	210	193	47	10	2	4	8	54	3	2	3	244	284	378	663	135	309	26	4	287	44	—	—	—	—	—	—
2016	17	ROK MLE	DSL D-backs	—	274	256	64	5	3	0	14	44	2	21	3	250	304	293	597	43	292	16	5	260	62	—	—	—	—	—	—
2017	18	ROK MLE	GCL Tigers West	—	169	159	35	2	2	0	6	71	2	10	11	220	254	258	512	38	382	42	4	223	37	—	—	—	—	—	—
2018	19	ROK MLE	GCL Tigers West	—	95	89	19	1	2	1	2	30	4	5	4	213	266	303	569	90	313	32	2	258	61	—	—	—	—	—	—
2019	20	A MLE	West Michigan Whitecaps	—	193	178	32	6	1	1	12	63	1	8	3	180	237	242	478	62	266	33	6	216	32	—	—	—	—	—	—
2021	22	A+ MLE	2 teams	—	312	291	49	10	2	3	14	140	4	9	3	168	220	247	467	79	295	45	4	206	26	—	—	—	—	—	—
2022	23	A+ MLE	West Michigan Whitecaps	—	210	200	40	9	1	4	5	72	3	2	3	200	235	315	550	115	272	34	2	233	44	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1253	1156	239	33	11	9	53	420	16	55	27	207	251	278	529	71	311	34	4	230	42	-87	+0	+0	+13	+27	-4.7
/ 162G	—	MLE		—	650	600	124	17	6	5	27	218	8	29	14	207	250	280	530	73	311	34	4	230	42	-45	+0	+0	+7	+14	-2.4

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 A+West Michigan Whitecaps · 210 PAwOBA .284 → .233 (−51)K% 25.7% → 34.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.71%	÷0.956	×1.270	—	—	34.14%
BB% (unintentional) /PA	3.81%	÷1.024	×0.710	—	×0.998	2.63%
HBP% /PA	1.43%	—	×0.790	—	×0.998	1.13%
Singles /BIP	22.30%	÷1.031	×0.920	×0.990	×0.998	19.65%
Doubles /BIP	7.19%	÷0.876	×0.810	×0.990	×0.998	6.57%
Triples /BIP	1.44%	÷1.150	×0.850	×0.990	×0.998	1.05%
Home runs /BIP	2.88%	÷0.847	×0.800	—	×0.998	2.71%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 69, 1B 106, 2B 75, 3B 130, K 91, BB 105 — 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 ×0.990.

Result: wOBA .284 → .233; ISO .135 → .114; BABIP .309 → .272. 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 A+West Michigan Whitecaps · 251 PAwOBA .268 → .211 (−56)K% 33.9% → 47.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.86%	÷0.959	×1.350	—	—	47.66%
BB% (unintentional) /PA	5.98%	÷1.000	×0.710	—	×1.012	4.29%
HBP% /PA	1.20%	—	×0.810	—	×1.012	0.98%
Singles /BIP	23.40%	÷1.001	×0.910	×1.044	×1.012	22.47%
Doubles /BIP	8.51%	÷0.935	×0.830	×1.044	×1.012	7.98%
Triples /BIP	0.71%	÷1.009	×0.820	×1.044	×1.012	0.61%
Home runs /BIP	2.84%	÷0.841	×0.830	—	×1.012	2.83%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 68, 1B 100, 2B 87, 3B 102, K 92, BB 100 — 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 ×1.044.

Result: wOBA .268 → .211; ISO .115 → .092; BABIP .326 → .309. 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 ALakeland Flying Tigers · 61 PAwOBA .230 → .186 (−44)K% 24.6% → 33.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.59%	÷0.988	×1.360	—	—	33.86%
BB% (unintentional) /PA	8.20%	÷1.017	×0.690	—	—	5.56%
HBP% /PA	1.64%	—	×0.780	—	—	1.28%
Singles /BIP	20.00%	÷1.002	×0.920	×1.050	—	19.28%
Doubles /BIP	2.50%	÷0.992	×0.830	×1.050	—	2.20%
Triples /BIP	2.50%	÷1.016	×0.910	×1.050	—	2.35%
Home runs /BIP	0.00%	÷0.937	×0.800	—	—	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 100, 2B 98, 3B 103, K 98, BB 103 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .230 → .186; ISO .055 → .045; BABIP .250 → .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).

2019 AWest Michigan Whitecaps · 193 PAwOBA .253 → .216 (−37)K% 25.4% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.39%	÷1.063	×1.360	—	—	32.49%
BB% (unintentional) /PA	8.81%	÷0.974	×0.690	—	×1.030	6.43%
HBP% /PA	0.52%	—	×0.780	—	×1.030	0.42%
Singles /BIP	21.95%	÷1.025	×0.920	×1.001	×1.030	20.32%
Doubles /BIP	5.69%	÷0.885	×0.830	×1.001	×1.030	5.50%
Triples /BIP	0.81%	÷0.904	×0.910	×1.001	×1.030	0.84%
Home runs /BIP	0.81%	÷0.895	×0.800	—	×1.030	0.75%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 105, 2B 77, 3B 81, K 113, BB 95 — 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 .253 → .216; ISO .070 → .064; BABIP .285 → .266. 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 ROKGCL Tigers West · 95 PAwOBA .363 → .258 (−105)K% 22.1% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.11%	÷1.000	×1.440	—	—	31.83%
BB% (unintentional) /PA	4.21%	÷1.000	×0.620	—	×1.008	2.63%
HBP% /PA	4.21%	—	×0.720	—	×1.008	3.05%
Singles /BIP	30.77%	÷1.000	×0.820	×0.985	×1.008	25.03%
Doubles /BIP	3.08%	÷1.000	×0.720	×0.985	×1.008	2.20%
Triples /BIP	4.62%	÷1.000	×0.720	×0.985	×1.008	3.30%
Home runs /BIP	3.08%	÷1.000	×0.780	—	×1.008	2.42%

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 ×0.985.

Result: wOBA .363 → .258; ISO .163 → .111; BABIP .397 → .313. 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 ROKGCL Tigers West · 169 PAwOBA .314 → .223 (−91)K% 29.0% → 41.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.99%	÷1.000	×1.440	—	—	41.75%
BB% (unintentional) /PA	5.33%	÷1.000	×0.620	—	×1.022	3.38%
HBP% /PA	1.18%	—	×0.720	—	×1.022	0.87%
Singles /BIP	38.53%	÷1.000	×0.820	×1.050	×1.022	33.92%
Doubles /BIP	2.75%	÷1.000	×0.720	×1.050	×1.022	2.13%
Triples /BIP	2.75%	÷1.000	×0.720	×1.050	×1.022	2.13%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×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 ×1.050.

Result: wOBA .314 → .223; ISO .057 → .037; BABIP .440 → .382. 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 DSLDSL D-backs · 274 PAwOBA .350 → .260 (−89)K% 13.1% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.14%	÷1.000	×1.220	—	—	16.03%
BB% (unintentional) /PA	7.30%	÷1.000	×0.700	—	×1.022	5.22%
HBP% /PA	0.73%	—	×0.700	—	×1.022	0.52%
Singles /BIP	35.78%	÷1.000	×0.680	×1.050	×1.022	26.12%
Doubles /BIP	3.43%	÷1.000	×0.600	×1.050	×1.022	2.21%
Triples /BIP	1.96%	÷1.000	×0.600	×1.050	×1.022	1.26%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.022	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 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .350 → .260; ISO .062 → .042; BABIP .406 → .292. 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).