Zack Cox

Pos3B

B/TL/R

Born1989-05-09

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	25	AAANew Orleans Z…	344	.282/.345/.436	8	2	81	—	.249/.295/.374
2015	26	AAA/AA2 orgs	425	.304/.371/.411	5	0	80	—	.262/.310/.350
2017	28	AADET	313	.281/.358/.361	3	1	71	—	.253/.306/.316

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	21	ROK	GCL Cardinals	—	17	15	6	1	0	0	1	3	1	0	0	400	471	467	937	67	500	18	6	426	91	—	—	—	—	—	—
2010	21	INTL	Surprise Rafters	—	75	65	17	4	1	2	8	21	0	0	1	262	342	446	789	185	341	28	11	341	117	—	—	—	—	—	—
2011	22	AA	Springfield Cardinals	—	389	352	103	19	0	10	29	69	6	0	1	293	357	432	788	139	338	18	7	352	92	—	—	—	—	—	—
2011	22	A+	Palm Beach Cardinals	—	180	164	55	8	0	3	11	29	2	2	2	335	384	439	823	104	388	16	6	364	102	—	—	—	—	—	—
2012	23	AAA	Memphis Redbirds	—	316	299	76	23	0	9	12	63	5	1	0	254	294	421	716	167	295	20	4	317	70	—	—	—	—	—	—
2012	23	AA	Jacksonville Suns	—	106	95	24	6	1	1	10	27	0	0	0	253	324	368	692	116	338	25	9	310	68	—	—	—	—	—	—
2013	24	AA	Jacksonville Suns	—	325	283	76	15	2	3	38	68	2	2	0	269	359	367	727	99	341	21	12	330	79	—	—	—	—	—	—
2014	25	AAA	New Orleans Zephyrs	—	344	312	88	18	3	8	29	65	1	2	0	282	345	436	781	154	333	19	8	346	81	—	—	—	—	—	—
2015	26	AAA	New Orleans Zephyrs	—	56	55	11	5	0	1	1	17	0	0	0	200	214	345	560	145	270	30	2	245	9	—	—	—	—	—	—
2015	26	AA	Jacksonville Suns	—	369	327	105	19	1	4	38	80	2	0	1	321	395	422	817	101	412	22	10	368	91	—	—	—	—	—	—
2017	28	AA	Erie SeaWolves	—	313	274	77	13	0	3	30	70	3	1	0	281	358	361	720	80	357	22	10	324	71	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	21	ROK MLE	GCL Cardinals	—	17	15	5	1	0	0	1	4	1	0	0	333	412	400	812	67	396	24	6	302	91	—	—	—	—	—	—
2011	22	AA MLE	Springfield Cardinals	—	389	360	96	15	0	8	21	84	6	0	1	267	318	375	693	108	323	22	5	304	92	—	—	—	—	—	—
2011	22	A+ MLE	Palm Beach Cardinals	—	180	167	50	7	0	3	8	42	2	2	2	299	339	395	734	96	369	23	4	319	102	—	—	—	—	—	—
2012	23	AAA MLE	Memphis Redbirds	—	316	304	69	21	0	7	7	79	5	1	0	227	256	365	621	138	286	25	2	272	70	—	—	—	—	—	—
2012	23	AA MLE	Jacksonville Suns	—	106	98	23	6	1	1	7	34	0	0	0	235	286	347	633	112	331	32	7	269	68	—	—	—	—	—	—
2013	24	AA MLE	Jacksonville Suns	—	325	296	73	14	2	2	25	81	2	2	0	247	310	328	637	81	324	25	8	285	79	—	—	—	—	—	—
2014	25	AAA MLE	New Orleans Zephyrs	—	344	321	80	16	3	6	20	83	1	2	0	249	295	374	669	125	313	24	6	288	81	—	—	—	—	—	—
2015	26	AAA MLE	New Orleans Zephyrs	—	56	55	9	4	0	1	1	22	0	0	0	164	179	291	469	127	237	39	2	181	9	—	—	—	—	—	—
2015	26	AA MLE	Jacksonville Suns	—	369	340	94	17	1	3	25	101	2	0	1	276	330	359	689	82	377	27	7	303	91	—	—	—	—	—	—
2017	28	AA MLE	Erie SeaWolves	—	313	285	72	12	0	2	19	88	3	1	0	253	306	316	622	63	333	28	6	273	71	—	—	—	—	—	—
2010	21	INTL MLE	2 teams	—	92	86	25	4	0	0	3	23	1	0	1	291	322	337	659	47	385	25	3	302	91	—	—	—	—	—	—
2010	21	INTL RAW	2 teams	—	92	80	23	5	1	2	9	24	1	0	1	287	367	450	817	163	375	26	10	356	91	—	—	—	—	—	—
2011	22	AA MLE	2 teams	—	569	527	146	23	0	11	29	126	8	2	3	277	324	383	708	106	343	22	5	309	95	—	—	—	—	—	—
2011	22	AA RAW	2 teams	—	569	516	158	27	0	13	40	98	8	2	3	306	365	434	799	128	355	17	7	356	95	—	—	—	—	—	—
2012	23	AAA MLE	2 teams	—	422	402	93	27	1	8	14	112	5	1	0	231	266	363	629	132	300	27	3	271	70	—	—	—	—	—	—
2012	23	AAA RAW	2 teams	—	422	394	100	29	1	10	22	90	5	1	0	254	302	409	710	155	305	21	5	315	70	—	—	—	—	—	—
2013	24	AA MLE	Jacksonville Suns	—	325	296	73	14	2	2	25	81	2	2	0	247	310	328	637	81	330	25	8	285	79	—	—	—	—	—	—
2013	24	AA RAW	Jacksonville Suns	—	325	283	76	15	2	3	38	68	2	2	0	269	359	367	727	99	341	21	12	330	79	—	—	—	—	—	—
2014	25	AAA MLE	New Orleans Zephyrs	—	344	321	80	16	3	6	20	83	1	2	0	249	295	374	669	125	318	24	6	288	81	—	—	—	—	—	—
2014	25	AAA RAW	New Orleans Zephyrs	—	344	312	88	18	3	8	29	65	1	2	0	282	345	436	781	154	333	19	8	346	81	—	—	—	—	—	—
2015	26	AA MLE	2 teams	—	425	395	102	20	1	4	26	123	2	0	1	258	307	344	652	86	363	29	6	287	80	—	—	—	—	—	—
2015	26	AA RAW	2 teams	—	425	382	116	24	1	5	39	97	2	0	1	304	371	411	782	107	394	23	9	351	80	—	—	—	—	—	—
2017	28	AA MLE	Erie SeaWolves	—	313	285	72	12	0	2	19	88	3	1	0	253	306	316	622	63	348	28	6	273	71	—	—	—	—	—	—
2017	28	AA RAW	Erie SeaWolves	—	313	274	77	13	0	3	30	70	3	1	0	281	358	361	720	80	357	22	10	324	71	—	—	—	—	—	—
2010	21	INTL MLE	2 teams	—	92	88	25	4	0	0	3	23	1	0	1	284	322	330	652	45	396	25	3	302	91	—	—	—	—	—	—
2011	22	AA MLE	2 teams	—	569	527	146	23	0	11	29	126	8	2	3	277	324	383	708	106	338	22	5	309	95	—	—	—	—	—	—
2012	23	AAA MLE	2 teams	—	422	400	93	27	1	8	14	112	5	1	0	233	266	365	631	132	297	27	3	271	70	—	—	—	—	—	—
2013	24	AA MLE	Jacksonville Suns	—	325	295	73	14	2	2	25	81	2	2	0	247	310	329	638	81	324	25	8	285	79	—	—	—	—	—	—
2014	25	AAA MLE	New Orleans Zephyrs	—	344	320	80	16	3	6	20	83	1	2	0	250	295	375	670	125	313	24	6	288	81	—	—	—	—	—	—
2015	26	AA MLE	2 teams	—	425	394	102	20	1	4	26	123	2	0	1	259	307	345	653	86	359	29	6	287	80	—	—	—	—	—	—
2017	28	AA MLE	Erie SeaWolves	—	313	288	72	12	0	2	19	88	3	1	0	250	306	312	619	62	333	28	6	273	71	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2490	2312	591	116	7	33	136	636	22	8	5	256	303	355	658	99	336	26	5	288	81	-56	-0	+0	+9	+54	0.6
/ 162G	—	MLE		—	650	604	155	30	2	9	36	166	6	2	1	257	306	358	664	101	336	26	6	288	81	-15	+0	+0	+2	+14	0.2

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.

2017 AAErie SeaWolves · 313 PAwOBA .322 → .273 (−48)K% 22.4% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.36%	÷0.973	×1.220	—	—	28.04%
BB% (unintentional) /PA	9.58%	÷1.059	×0.700	—	×0.968	6.13%
HBP% /PA	0.96%	—	×0.850	—	×0.968	0.79%
Singles /BIP	29.90%	÷1.020	×0.970	×1.027	×0.968	28.26%
Doubles /BIP	6.37%	÷0.944	×0.860	×1.027	×0.968	5.77%
Triples /BIP	0.00%	÷1.094	×0.950	×1.027	×0.968	0.00%
Home runs /BIP	1.47%	÷1.259	×0.780	—	×0.968	0.88%

Factors used: league row EL. Park (home-season share, regressed): HR 152, 1B 104, 2B 89, 3B 119, K 95, BB 112 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .322 → .273; ISO .080 → .062; BABIP .357 → .333. 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 AAJacksonville Suns · 369 PAwOBA .360 → .303 (−57)K% 21.7% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.68%	÷0.964	×1.220	—	—	27.44%
BB% (unintentional) /PA	10.30%	÷1.017	×0.680	—	×0.988	6.80%
HBP% /PA	0.54%	—	×0.840	—	×0.988	0.45%
Singles /BIP	32.79%	÷0.990	×0.920	×1.005	×0.988	30.26%
Doubles /BIP	7.69%	÷1.012	×0.910	×1.005	×0.988	6.87%
Triples /BIP	0.40%	÷0.900	×0.880	×1.005	×0.988	0.39%
Home runs /BIP	1.62%	÷0.973	×0.800	—	×0.988	1.32%

Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 98, 2B 102, 3B 80, K 93, BB 103 — 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 ×1.005.

Result: wOBA .360 → .303; ISO .101 → .085; BABIP .412 → .377. 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 AAANew Orleans Zephyrs · 56 PAwOBA .238 → .181 (−57)K% 30.4% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.36%	÷1.016	×1.290	—	—	38.54%
BB% (unintentional) /PA	1.79%	÷0.997	×0.710	—	×1.018	1.29%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	13.16%	÷0.969	×0.900	—	×1.018	12.44%
Doubles /BIP	13.16%	÷1.012	×0.810	—	×1.018	10.72%
Triples /BIP	0.00%	÷0.985	×0.810	—	×1.018	0.00%
Home runs /BIP	2.63%	÷0.975	×0.780	—	×1.018	2.14%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 94, 2B 102, 3B 97, K 103, BB 99 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).

Result: wOBA .238 → .181; ISO .145 → .105; BABIP .270 → .237. 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 AAANew Orleans Zephyrs · 344 PAwOBA .336 → .288 (−47)K% 18.9% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.90%	÷1.008	×1.290	—	—	24.18%
BB% (unintentional) /PA	7.85%	÷1.007	×0.710	—	×1.033	5.72%
HBP% /PA	0.29%	—	×0.980	—	×1.033	0.29%
Singles /BIP	23.89%	÷0.980	×0.900	×1.009	×1.033	22.86%
Doubles /BIP	7.29%	÷0.923	×0.810	×1.009	×1.033	6.66%
Triples /BIP	1.21%	÷0.900	×0.810	×1.009	×1.033	1.14%
Home runs /BIP	3.24%	÷1.098	×0.780	—	×1.033	2.38%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 96, 2B 85, 3B 80, K 102, BB 101 — 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 ×1.009.

Result: wOBA .336 → .288; ISO .154 → .124; BABIP .333 → .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).

2013 AAJacksonville Suns · 325 PAwOBA .322 → .285 (−37)K% 20.9% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.92%	÷1.024	×1.220	—	—	24.93%
BB% (unintentional) /PA	11.08%	÷0.980	×0.680	—	×1.012	7.78%
HBP% /PA	0.62%	—	×0.840	—	×1.012	0.52%
Singles /BIP	26.05%	÷0.986	×0.920	×1.022	×1.012	25.15%
Doubles /BIP	6.98%	÷1.029	×0.910	×1.022	×1.012	6.38%
Triples /BIP	0.93%	÷1.082	×0.880	×1.022	×1.012	0.78%
Home runs /BIP	1.40%	÷1.036	×0.800	—	×1.012	1.09%

Factors used: league row SL. Park (home-season share, regressed): HR 107, 1B 97, 2B 106, 3B 116, K 105, BB 96 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .322 → .285; ISO .099 → .086; BABIP .341 → .324. 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).

2012 AAAMemphis Redbirds · 316 PAwOBA .305 → .272 (−33)K% 19.9% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.94%	÷1.033	×1.290	—	—	24.89%
BB% (unintentional) /PA	3.16%	÷1.014	×0.710	—	×1.050	2.33%
HBP% /PA	1.58%	—	×0.980	—	×1.050	1.63%
Singles /BIP	18.64%	÷0.985	×0.900	×1.029	×1.050	18.42%
Doubles /BIP	9.75%	÷0.916	×0.810	×1.029	×1.050	9.32%
Triples /BIP	0.00%	÷1.150	×0.810	×1.029	×1.050	0.00%
Home runs /BIP	3.81%	÷0.993	×0.780	—	×1.050	3.15%

Factors used: league row PCL. Park (home-season share, regressed): HR 99, 1B 97, 2B 83, 3B 130, K 107, BB 103 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .305 → .272; ISO .167 → .141; BABIP .295 → .286. 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).

2012 AAJacksonville Suns · 106 PAwOBA .305 → .269 (−36)K% 25.5% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.47%	÷0.976	×1.220	—	—	31.84%
BB% (unintentional) /PA	9.43%	÷0.997	×0.680	—	×1.027	6.61%
HBP% /PA	0.00%	—	×0.840	—	×1.027	0.00%
Singles /BIP	23.53%	÷1.007	×0.920	×1.050	×1.027	23.17%
Doubles /BIP	8.82%	÷0.995	×0.910	×1.050	×1.027	8.70%
Triples /BIP	1.47%	÷1.078	×0.880	×1.050	×1.027	1.29%
Home runs /BIP	1.47%	÷0.896	×0.800	—	×1.027	1.35%

Factors used: league row SL. Park (home-season share, regressed): HR 79, 1B 102, 2B 99, 3B 116, K 95, BB 99 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .305 → .269; ISO .116 → .105; BABIP .338 → .331. 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).

2011 AASpringfield Cardinals · 389 PAwOBA .343 → .304 (−39)K% 17.7% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.74%	÷1.002	×1.220	—	—	21.60%
BB% (unintentional) /PA	7.20%	÷0.973	×0.700	—	×1.042	5.39%
HBP% /PA	1.54%	—	×0.870	—	×1.042	1.40%
Singles /BIP	26.15%	÷0.988	×0.920	×1.031	×1.042	26.15%
Doubles /BIP	6.71%	÷1.110	×0.840	×1.031	×1.042	5.46%
Triples /BIP	0.00%	÷0.994	×0.940	×1.031	×1.042	0.00%
Home runs /BIP	3.53%	÷1.030	×0.800	—	×1.042	2.86%

Factors used: league row TL. Park (home-season share, regressed): HR 106, 1B 98, 2B 122, 3B 99, K 100, BB 95 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .343 → .304; ISO .139 → .111; BABIP .338 → .323. 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).