Joey Wong

PosSS

B/TL/R

Born1988-04-12

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	28	AAA/INTL2 orgs	493	.217/.322/.299	2	4	52	—	.193/.273/.245
2017	29	AAA/AASEA	515	.239/.360/.291	3	0	60	—	.220/.306/.267
2018	30	AANYM	113	.213/.339/.362	3	0	58	—	.180/.268/.290

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)
2010	22	A	Asheville Tourists	—	319	273	61	15	0	3	27	57	3	4	3	223	300	311	612	88	267	18	8	268	32	—	—	—	—	—	—
2011	23	A	Asheville Tourists	—	412	360	103	20	3	6	27	61	11	8	9	286	353	408	762	122	329	15	7	332	62	—	—	—	—	—	—
2012	24	A+	Modesto Nuts	—	100	89	22	3	1	1	6	14	3	0	2	247	316	337	653	90	280	14	6	293	58	—	—	—	—	—	—
2012	24	A	Asheville Tourists	—	61	56	14	0	4	0	4	11	0	2	2	250	300	393	693	143	311	18	7	300	50	—	—	—	—	—	—
2013	25	AA	Tulsa Drillers	—	318	279	67	17	1	2	18	55	8	2	4	240	305	330	635	90	291	17	6	279	53	—	—	—	—	—	—
2013	25	INTL	Perth Heat	—	198	169	49	8	1	2	20	20	5	7	5	290	381	385	766	95	320	10	10	344	119	—	—	—	—	—	—
2014	26	AA	Tulsa Drillers	—	287	258	57	13	2	1	24	54	0	5	1	221	287	298	586	78	273	19	8	264	38	—	—	—	—	—	—
2014	26	INTL	Perth Heat	—	221	183	55	4	4	2	32	25	0	9	2	301	403	399	802	98	333	11	14	357	127	—	—	—	—	—	—
2015	27	AAA	Albuquerque Isotopes	—	65	61	12	3	2	0	2	15	0	1	0	197	222	311	534	115	255	23	3	228	9	—	—	—	—	—	—
2015	27	AA	New Britain Rock Cats	—	190	164	47	11	0	0	15	24	3	3	2	287	357	354	711	67	336	13	8	312	79	—	—	—	—	—	—
2016	28	AAA	Albuquerque Isotopes	—	312	258	60	11	2	1	42	52	3	1	1	233	345	302	648	70	284	17	13	297	45	—	—	—	—	—	—
2016	28	INTL	Perth Heat	—	181	157	30	11	1	1	17	27	3	3	3	191	282	293	575	102	221	15	9	261	63	—	—	—	—	—	—
2017	29	AAA	Tacoma Rainiers	—	42	36	8	1	0	1	6	6	0	0	0	222	333	333	667	111	241	14	14	309	53	—	—	—	—	—	—
2017	29	AA	Arkansas Travelers	—	473	390	94	10	1	2	66	79	8	0	1	241	362	287	649	46	295	17	14	304	61	—	—	—	—	—	—
2018	30	AA	Binghamton Rumble Ponies	—	113	94	20	5	0	3	16	26	2	0	0	213	339	362	701	149	262	23	14	320	58	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	22	A MLE	Asheville Tourists	—	319	285	56	13	0	2	15	80	3	4	3	196	244	263	507	67	238	25	5	216	32	—	—	—	—	—	—
2011	23	A MLE	Asheville Tourists	—	412	372	89	13	3	4	16	87	11	8	9	239	291	323	613	83	285	21	4	260	62	—	—	—	—	—	—
2012	24	A+ MLE	Modesto Nuts	—	100	91	21	3	1	1	4	19	3	0	2	231	286	319	604	88	257	19	4	254	58	—	—	—	—	—	—
2012	24	A MLE	Asheville Tourists	—	61	58	12	0	3	0	2	16	0	2	2	207	233	310	544	103	285	26	3	242	50	—	—	—	—	—	—
2013	25	AA MLE	Tulsa Drillers	—	318	286	64	17	1	1	11	67	8	2	4	224	272	301	573	77	270	21	3	247	53	—	—	—	—	—	—
2014	26	AA MLE	Tulsa Drillers	—	287	266	53	10	2	1	16	66	0	5	1	199	245	263	508	64	253	23	6	225	38	—	—	—	—	—	—
2015	27	AAA MLE	Albuquerque Isotopes	—	65	62	10	2	2	0	1	20	0	1	0	161	175	258	433	97	223	31	2	182	9	—	—	—	—	—	—
2015	27	AA MLE	New Britain Rock Cats	—	190	168	47	10	0	0	11	30	3	3	2	280	335	339	674	60	318	16	6	285	79	—	—	—	—	—	—
2016	28	AAA MLE	Albuquerque Isotopes	—	312	274	53	9	1	1	27	71	3	1	1	193	273	245	518	51	246	23	9	235	45	—	—	—	—	—	—
2017	29	AAA MLE	Tacoma Rainiers	—	42	38	7	1	0	1	4	8	0	0	0	184	262	289	551	105	213	19	10	247	53	—	—	—	—	—	—
2017	29	AA MLE	Arkansas Travelers	—	473	412	92	9	1	2	44	99	8	0	1	223	310	265	575	41	276	21	9	258	61	—	—	—	—	—	—
2018	30	AA MLE	Binghamton Rumble Ponies	—	113	100	18	5	0	2	10	32	2	0	0	180	268	290	558	110	242	28	9	254	58	—	—	—	—	—	—
2010	22	A MLE	Asheville Tourists	—	319	285	56	13	0	2	15	80	3	4	3	196	244	263	507	67	261	25	5	216	32	—	—	—	—	—	—
2010	22	A RAW	Asheville Tourists	—	319	273	61	15	0	3	27	57	3	4	3	223	300	311	612	88	267	18	8	268	32	—	—	—	—	—	—
2011	23	A MLE	Asheville Tourists	—	412	372	89	13	3	4	16	87	11	8	9	239	291	323	613	83	300	21	4	260	62	—	—	—	—	—	—
2011	23	A RAW	Asheville Tourists	—	412	360	103	20	3	6	27	61	11	8	9	286	353	408	762	122	329	15	7	332	62	—	—	—	—	—	—
2012	24	A+ MLE	2 teams	—	161	148	33	3	4	1	7	34	3	2	4	223	272	318	590	95	281	21	4	249	55	—	—	—	—	—	—
2012	24	A+ RAW	2 teams	—	161	145	36	3	5	1	10	25	3	2	4	248	310	359	669	110	292	16	6	296	55	—	—	—	—	—	—
2013	25	AA MLE	2 teams	—	516	467	104	28	1	2	19	109	13	9	9	223	273	300	572	77	286	21	4	247	53	—	—	—	—	—	—
2013	25	AA RAW	2 teams	—	516	448	116	25	2	4	38	75	13	9	9	259	335	350	685	92	303	15	7	304	53	—	—	—	—	—	—
2014	26	AA MLE	2 teams	—	508	470	95	19	4	2	28	117	0	14	3	202	247	272	519	70	261	23	6	225	38	—	—	—	—	—	—
2014	26	AA RAW	2 teams	—	508	441	112	17	6	3	56	79	0	14	3	254	337	340	677	86	299	16	11	304	38	—	—	—	—	—	—
2015	27	AA MLE	2 teams	—	255	230	57	12	2	0	12	50	3	4	2	248	294	317	611	70	315	20	5	259	61	—	—	—	—	—	—
2015	27	AA RAW	2 teams	—	255	225	59	14	2	0	17	39	3	4	2	262	322	342	665	80	316	15	7	291	61	—	—	—	—	—	—
2016	28	AAA MLE	2 teams	—	493	433	84	14	2	1	42	112	6	4	4	194	274	242	517	48	255	23	9	235	45	—	—	—	—	—	—
2016	28	AAA RAW	2 teams	—	493	415	90	22	3	2	59	79	6	4	4	217	322	299	621	82	260	16	12	284	45	—	—	—	—	—	—
2017	29	AA MLE	2 teams	—	515	450	98	10	1	2	48	106	8	0	1	218	304	258	562	40	278	21	9	257	60	—	—	—	—	—	—
2017	29	AA RAW	2 teams	—	515	426	102	11	1	3	72	85	8	0	1	239	360	291	651	52	290	17	14	305	60	—	—	—	—	—	—
2018	30	AA MLE	Binghamton Rumble Ponies	—	113	100	18	5	0	2	10	32	2	0	0	180	268	290	558	110	242	28	9	254	58	—	—	—	—	—	—
2018	30	AA RAW	Binghamton Rumble Ponies	—	113	94	20	5	0	3	16	26	2	0	0	213	339	362	701	149	262	23	14	320	58	—	—	—	—	—	—
2010	22	A MLE	Asheville Tourists	—	319	298	56	13	0	2	15	80	3	4	3	188	244	252	496	64	238	25	5	216	32	—	—	—	—	—	—
2011	23	A MLE	Asheville Tourists	—	412	382	89	13	3	4	16	87	11	8	9	233	291	314	605	81	285	21	4	260	62	—	—	—	—	—	—
2012	24	A+ MLE	2 teams	—	161	150	33	3	4	1	7	34	3	2	4	220	272	313	585	93	268	21	4	249	55	—	—	—	—	—	—
2013	25	AA MLE	2 teams	—	516	479	104	28	1	2	19	109	13	9	9	217	273	292	565	75	270	21	4	247	53	—	—	—	—	—	—
2014	26	AA MLE	2 teams	—	508	475	95	19	4	2	28	117	0	14	3	200	247	269	516	69	253	23	6	225	38	—	—	—	—	—	—
2015	27	AA MLE	2 teams	—	255	238	57	12	2	0	12	50	3	4	2	239	294	307	601	67	294	20	5	259	61	—	—	—	—	—	—
2016	28	AAA MLE	2 teams	—	493	442	84	14	2	1	42	112	6	4	4	190	274	238	512	48	246	23	9	235	45	—	—	—	—	—	—
2017	29	AA MLE	2 teams	—	515	454	98	10	1	2	48	106	8	0	1	216	304	256	560	40	271	21	9	257	60	—	—	—	—	—	—
2018	30	AA MLE	Binghamton Rumble Ponies	—	113	100	18	5	0	2	10	32	2	0	0	180	268	290	558	110	242	28	9	254	58	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3292	2955	634	117	17	16	197	727	49	45	35	215	275	282	557	67	277	22	6	243	51	-193	-5	+0	+35	+71	-9.3
/ 162G	—	MLE		—	650	583	125	23	3	3	39	144	10	9	7	214	275	280	555	65	277	22	6	243	51	-38	-1	+0	+7	+14	-1.8

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.

2018 AABinghamton Rumble Ponies · 113 PAwOBA .312 → .254 (−58)K% 23.0% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.01%	÷0.992	×1.220	—	—	28.30%
BB% (unintentional) /PA	14.16%	÷1.028	×0.700	—	×0.948	9.14%
HBP% /PA	1.77%	—	×0.850	—	×0.948	1.43%
Singles /BIP	17.65%	÷1.009	×0.970	×1.033	×0.948	16.62%
Doubles /BIP	7.35%	÷0.906	×0.860	×1.033	×0.948	6.84%
Triples /BIP	0.00%	÷1.134	×0.950	×1.033	×0.948	0.00%
Home runs /BIP	4.41%	÷1.013	×0.780	—	×0.948	3.22%

Factors used: league row EL. Park (home-season share, regressed): HR 103, 1B 102, 2B 81, 3B 127, K 98, BB 106 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .312 → .254; ISO .149 → .121; BABIP .262 → .242. 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 AAArkansas Travelers · 473 PAwOBA .299 → .258 (−42)K% 16.7% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.70%	÷0.973	×1.220	—	—	20.94%
BB% (unintentional) /PA	13.95%	÷1.005	×0.700	—	×0.958	9.31%
HBP% /PA	1.69%	—	×0.870	—	×0.958	1.41%
Singles /BIP	26.05%	÷0.974	×0.920	×1.050	×0.958	24.76%
Doubles /BIP	3.22%	÷0.993	×0.840	×1.050	×0.958	2.74%
Triples /BIP	0.32%	÷1.150	×0.940	×1.050	×0.958	0.26%
Home runs /BIP	0.64%	÷1.024	×0.800	—	×0.958	0.48%

Factors used: league row TL. Park (home-season share, regressed): HR 105, 1B 95, 2B 99, 3B 130, K 95, BB 101 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .299 → .258; ISO .046 → .039; BABIP .295 → .276. 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 AAATacoma Rainiers · 42 PAwOBA .302 → .247 (−55)K% 14.3% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.028	×1.290	—	—	17.92%
BB% (unintentional) /PA	14.29%	÷0.979	×0.710	—	×0.982	10.17%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	20.00%	÷0.978	×0.900	—	×0.982	18.08%
Doubles /BIP	3.33%	÷0.988	×0.810	—	×0.982	2.68%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.982	0.00%
Home runs /BIP	3.33%	÷0.963	×0.780	—	×0.982	2.65%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 98, 3B 80, K 106, BB 96 — 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).

Result: wOBA .302 → .247; ISO .111 → .089; BABIP .241 → .213. 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 AAAAlbuquerque Isotopes · 312 PAwOBA .291 → .235 (−56)K% 16.7% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.948	×1.290	—	—	22.67%
BB% (unintentional) /PA	13.14%	÷1.083	×0.710	—	×0.992	8.55%
HBP% /PA	0.96%	—	×0.980	—	×0.992	0.93%
Singles /BIP	22.33%	÷1.032	×0.900	×1.033	×0.992	19.97%
Doubles /BIP	5.34%	÷1.050	×0.810	×1.033	×0.992	4.22%
Triples /BIP	0.97%	÷1.150	×0.810	×1.033	×0.992	0.70%
Home runs /BIP	0.49%	÷1.202	×0.780	—	×0.992	0.31%

Factors used: league row PCL. Park (home-season share, regressed): HR 140, 1B 106, 2B 110, 3B 130, K 90, BB 117 — 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 ×1.033.

Result: wOBA .291 → .235; ISO .070 → .054; BABIP .284 → .246. 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 AANew Britain Rock Cats · 190 PAwOBA .305 → .285 (−20)K% 12.6% → 15.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.63%	÷0.974	×1.220	—	—	15.82%
BB% (unintentional) /PA	7.89%	÷0.935	×0.700	—	×0.978	5.78%
HBP% /PA	1.58%	—	×0.850	—	×0.978	1.31%
Singles /BIP	25.71%	÷1.024	×0.970	×1.050	×0.978	25.01%
Doubles /BIP	7.86%	÷1.016	×0.860	×1.050	×0.978	6.83%
Triples /BIP	0.00%	÷0.900	×0.950	×1.050	×0.978	0.00%
Home runs /BIP	0.00%	÷1.133	×0.780	—	×0.978	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 127, 1B 105, 2B 103, 3B 80, K 95, BB 87 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .305 → .285; ISO .067 → .061; BABIP .336 → .318. 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 AAAAlbuquerque Isotopes · 65 PAwOBA .225 → .182 (−43)K% 23.1% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷0.960	×1.290	—	—	31.01%
BB% (unintentional) /PA	3.08%	÷1.056	×0.710	—	×1.003	2.07%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	15.22%	÷1.010	×0.900	×1.024	×1.003	13.93%
Doubles /BIP	6.52%	÷1.075	×0.810	×1.024	×1.003	5.04%
Triples /BIP	4.35%	÷0.933	×0.810	×1.024	×1.003	3.87%
Home runs /BIP	0.00%	÷1.105	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 121, 1B 102, 2B 115, 3B 87, K 92, BB 111 — 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 .225 → .182; ISO .115 → .091; BABIP .255 → .223. 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 AATulsa Drillers · 287 PAwOBA .260 → .225 (−35)K% 18.8% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.82%	÷0.998	×1.220	—	—	23.00%
BB% (unintentional) /PA	8.36%	÷1.038	×0.700	—	×0.988	5.57%
HBP% /PA	0.00%	—	×0.870	—	×0.988	0.00%
Singles /BIP	20.10%	÷0.995	×0.920	×1.050	×0.988	19.29%
Doubles /BIP	6.37%	÷1.087	×0.840	×1.050	×0.988	5.11%
Triples /BIP	0.98%	÷0.901	×0.940	×1.050	×0.988	1.06%
Home runs /BIP	0.49%	÷0.894	×0.800	—	×0.988	0.43%

Factors used: league row TL. Park (home-season share, regressed): HR 79, 1B 99, 2B 117, 3B 80, K 100, BB 108 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .260 → .225; ISO .078 → .068; BABIP .273 → .253. 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 AATulsa Drillers · 318 PAwOBA .270 → .247 (−23)K% 17.3% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.30%	÷0.999	×1.220	—	—	21.12%
BB% (unintentional) /PA	5.03%	÷0.967	×0.700	—	×0.998	3.64%
HBP% /PA	2.52%	—	×0.870	—	×0.998	2.18%
Singles /BIP	20.98%	÷1.049	×0.920	×1.050	×0.998	19.29%
Doubles /BIP	7.59%	÷0.911	×0.840	×1.050	×0.998	7.33%
Triples /BIP	0.45%	÷1.150	×0.940	×1.050	×0.998	0.38%
Home runs /BIP	0.89%	÷1.239	×0.800	—	×0.998	0.58%

Factors used: league row TL. Park (home-season share, regressed): HR 148, 1B 110, 2B 82, 3B 130, K 100, BB 93 — 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 ×1.050.

Result: wOBA .270 → .247; ISO .090 → .082; BABIP .291 → .270. 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 — .