Jung Ho Kang

Pos3B

B/TR/R

Born1987-04-05

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	30	INTLAguilas Cibae…	96	.143/.226/.202	1	1	21	—
2018	31	AAA/A+PIT	71	.310/.420/.517	3	1	122	—	.282/.363/.436
2019	32	AAAPIT	31	.444/.516/.667	1	0	165	—	.393/.452/.607
2019	32	MLBPIT	185	.169/.223/.395	10	0	73	-0.2
2020	33	No MLB games played
2021	34	No MLB games played
2022	35	No MLB games played
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR -0.2

Contract

No contract data on file.

Skills · percentileStatcast 2016-2019

xwOBA73

Avg EV62

Barrel%57

Speed20

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)
2015	28	MLB	Pittsburgh Pirates	—	467	421	121	24	2	15	28	99	17	5	4	287	356	461	817	173	344	21	6	363	134	+19	-1	+2	+2	+10	3.3
2016	29	MLB	Pittsburgh Pirates	—	370	318	81	19	0	21	36	79	14	3	1	255	356	513	869	258	273	21	10	380	147	+21	+0	+4	+2	+8	3.5
2016	29	AAA	Indianapolis Indians	—	57	48	7	0	0	2	7	11	0	0	1	146	255	271	525	125	135	19	12	238	26	—	—	—	—	—	—
2017	30	INTL	Aguilas Cibaenas	—	96	84	12	2	0	1	8	31	1	1	0	143	226	202	428	60	200	32	8	199	21	—	—	—	—	—	—
2018	31	AAA	Indianapolis Indians	—	39	34	8	1	0	0	3	5	1	0	1	235	316	265	580	29	267	13	8	268	47	—	—	—	—	—	—
2018	31	A+	Bradenton Marauders	—	32	24	10	2	0	3	6	3	1	1	0	417	548	875	1.423	458	368	9	19	571	213	—	—	—	—	—	—
2019	32	MLB	Pittsburgh Pirates	—	185	172	29	7	1	10	11	60	1	0	0	169	223	395	618	227	184	32	6	269	73	-6	+0	-1	+1	+4	-0.2
2019	32	AAA	Indianapolis Indians	—	31	27	12	3	0	1	4	8	0	0	0	444	516	667	1.183	222	611	26	13	515	165	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1022	911	231	50	3	46	75	238	32	8	5	254	332	467	799	213	293	23	7	352	125	+30	-0	+5	+4	+22	6.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	28	MLB MLE	Pittsburgh Pirates	—	467	421	121	23	2	16	28	99	17	5	4	287	356	466	822	178	344	21	6	367	134	+19	-1	+2	+2	+10	3.3
2016	29	MLB MLE	Pittsburgh Pirates	—	370	319	82	18	0	23	35	79	14	3	1	257	356	530	886	273	273	21	9	385	147	+21	+0	+4	+2	+8	3.5
2016	29	AAA MLE	Indianapolis Indians	—	57	50	7	0	0	2	5	13	0	0	1	140	218	260	478	120	128	23	9	207	26	—	—	—	—	—	—
2018	31	AAA MLE	Indianapolis Indians	—	39	35	8	1	0	0	2	6	1	0	1	229	289	257	547	29	238	15	5	238	47	—	—	—	—	—	—
2018	31	A+ MLE	Bradenton Marauders	—	32	26	9	2	0	2	4	4	1	1	0	346	452	654	1.105	308	307	12	12	483	213	—	—	—	—	—	—
2019	32	MLB MLE	Pittsburgh Pirates	—	185	172	30	7	1	11	11	60	1	0	0	174	228	419	647	244	184	32	6	276	73	-6	+0	-1	+1	+4	-0.2
2019	32	AAA MLE	Indianapolis Indians	—	31	28	11	3	0	1	3	9	0	0	0	393	452	607	1.059	214	525	29	10	412	165	—	—	—	—	—	—
2015	28	MLB MLE	Pittsburgh Pirates	—	467	421	121	23	2	16	28	99	17	5	4	287	356	466	822	178	342	21	6	367	134	+19	-1	+2	+2	+10	3.3
2015	28	MLB RAW	Pittsburgh Pirates	—	467	421	121	24	2	15	28	99	17	5	4	287	356	461	817	173	344	21	6	363	134	+19	-1	+2	+2	+10	3.3
2016	29	MLB MLE	2 teams	—	427	369	89	18	0	25	40	92	14	3	2	241	338	493	831	252	250	22	9	362	131	+16	-0	+4	+2	+9	3.1
2016	29	MLB RAW	2 teams	—	427	366	88	19	0	23	43	90	14	3	2	240	343	481	824	240	253	21	10	361	131	+16	-0	+4	+2	+9	3.1
2017	30	INTL MLE	Aguilas Cibaenas	—	96	84	12	2	0	1	8	31	1	1	0	143	226	202	428	60	200	32	8	—	—	—	—	—	—	—	—
2017	30	INTL RAW	Aguilas Cibaenas	—	96	84	12	2	0	1	8	31	1	1	0	143	226	202	428	60	200	32	8	199	21	—	—	—	—	—	—
2018	31	AAA MLE	2 teams	—	71	60	16	3	0	2	7	10	2	1	1	267	362	417	779	150	280	14	10	348	122	—	—	—	—	—	—
2018	31	AAA RAW	2 teams	—	71	58	18	3	0	3	9	8	2	1	1	310	420	517	938	207	306	11	13	404	122	—	—	—	—	—	—
2019	32	MLB MLE	2 teams	—	216	200	40	9	1	12	14	69	1	0	0	200	256	435	691	235	233	32	6	296	86	-3	+0	-1	+1	+5	0.1
2019	32	MLB RAW	2 teams	—	216	199	41	10	1	11	15	68	1	0	0	206	265	432	697	226	248	31	7	304	86	-3	+0	-1	+1	+5	0.1
2015	28	MLB MLE	Pittsburgh Pirates	—	467	419	121	23	2	16	28	99	17	5	4	289	356	468	824	179	344	21	6	367	134	—	—	—	—	—	—
2016	29	MLB MLE	2 teams	—	427	370	89	18	0	25	40	92	14	3	2	241	338	492	830	251	253	22	9	362	131	—	—	—	—	—	—
2018	31	AAA MLE	2 teams	—	71	62	16	3	0	2	7	10	2	1	1	258	362	403	766	145	269	14	10	348	122	—	—	—	—	—	—
2019	32	MLB MLE	2 teams	—	216	199	40	9	1	12	14	69	1	0	0	201	256	437	693	236	233	32	6	296	86	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1022	911	231	50	3	46	75	238	32	8	5	254	332	467	799	213	293	23	7	352	106	+30	-0	+5	+4	+22	6.2
/ 162G	—	A+C		—	650	579	147	32	2	29	48	151	20	5	3	254	332	466	799	212	294	23	7	352	106	+19	-0	+3	+3	+14	3.9
Career	—	MLE		—	1277	1134	278	55	3	56	97	301	35	10	7	245	324	447	771	202	282	24	8	324	106	+30	-0	+5	+4	+22	6.2
/ 162G	—	MLE		—	650	577	142	28	2	29	49	153	18	5	4	246	325	452	777	206	282	24	8	324	106	+19	-0	+3	+3	+14	3.9

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 AAAIndianapolis Indians · 31 PAwOBA .501 → .412 (−89)K% 25.8% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.81%	÷1.013	×1.200	—	—	30.57%
BB% (unintentional) /PA	12.90%	÷1.010	×0.690	—	×0.952	8.39%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	42.11%	÷1.026	×0.930	—	×0.952	36.35%
Doubles /BIP	15.79%	÷0.901	×0.830	—	×0.952	13.85%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.952	0.00%
Home runs /BIP	5.26%	÷0.953	×0.840	—	×0.952	4.42%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 105, 2B 80, 3B 130, K 103, BB 102 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .501 → .412; ISO .222 → .190; BABIP .611 → .525. 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 AAAIndianapolis Indians · 39 PAwOBA .268 → .238 (−31)K% 12.8% → 14.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.82%	÷1.063	×1.200	—	—	14.47%
BB% (unintentional) /PA	7.69%	÷0.890	×0.690	—	×0.962	5.74%
HBP% /PA	2.56%	—	×0.940	—	×0.962	2.32%
Singles /BIP	24.14%	÷0.984	×0.930	—	×0.962	21.95%
Doubles /BIP	3.45%	÷1.040	×0.830	—	×0.962	2.65%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.962	0.00%
Home runs /BIP	0.00%	÷1.041	×0.840	—	×0.962	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 97, 2B 108, 3B 80, K 113, BB 78 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .268 → .238; ISO .029 → .024; BABIP .267 → .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).

2018 A+Bradenton Marauders · 32 PAwOBA .573 → .483 (−90)K% 9.4% → 13.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.38%	÷0.986	×1.420	—	—	13.50%
BB% (unintentional) /PA	18.75%	÷0.971	×0.750	—	×0.940	13.61%
HBP% /PA	3.12%	—	×0.930	—	×0.940	2.73%
Singles /BIP	23.81%	÷1.000	×0.920	—	×0.940	20.58%
Doubles /BIP	9.52%	÷1.058	×0.960	—	×0.940	8.12%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.940	0.00%
Home runs /BIP	14.29%	÷1.066	×0.880	—	×0.940	11.09%

Factors used: league row FSL. Park (home-season share, regressed): HR 113, 1B 100, 2B 112, 3B 80, K 97, BB 94 — applied at half strength. Age: age 31 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average).

Result: wOBA .573 → .483; ISO .458 → .387; BABIP .368 → .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).

2016 AAAIndianapolis Indians · 57 PAwOBA .241 → .207 (−34)K% 19.3% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.30%	÷1.015	×1.200	—	—	22.82%
BB% (unintentional) /PA	12.28%	÷1.054	×0.690	—	×0.982	7.89%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	13.51%	÷0.998	×0.930	×1.040	×0.982	12.87%
Doubles /BIP	0.00%	÷1.010	×0.830	×1.040	×0.982	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	×1.040	×0.982	0.00%
Home runs /BIP	5.41%	÷0.933	×0.840	—	×0.982	4.78%

Factors used: league row IL. Park (home-season share, regressed): HR 87, 1B 100, 2B 102, 3B 80, K 103, BB 111 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.

Result: wOBA .241 → .207; ISO .125 → .118; BABIP .135 → .128. 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 — .