Zach Green

Pos3B

B/TR/R

Born1994-03-07

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	25	AAASF	297	.282/.384/.659	25	1	99	—	.198/.286/.450
2019	25	MLBSF	16	.143/.250/.214	0	0	38	0.0
2021	27	AAAMIL	378	.214/.313/.407	15	0	52	—	.169/.249/.305
2022	28	AAASEA	378	.227/.296/.460	18	1	57	—	.186/.237/.350
2023	29	No MLB games played
2024	30	No MLB games played
2025	31	No MLB games played
2026	32	No MLB games played

Last 3 seasons WAR 0.0

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)
2012	18	ROK	GCL Phillies	—	183	169	48	13	1	3	8	43	5	2	2	284	335	426	761	142	363	23	4	338	44	—	—	—	—	—	—
2014	20	A	Lakewood BlueClaws	—	358	328	88	22	2	6	24	65	1	7	1	268	320	402	723	134	313	18	7	318	73	—	—	—	—	—	—
2015	21	A+	Clearwater Threshers	—	111	104	18	2	0	1	6	28	0	0	0	173	218	221	439	48	224	25	5	202	-5	—	—	—	—	—	—
2016	22	A+	Clearwater Threshers	—	394	354	93	24	0	12	20	110	15	0	1	263	329	432	761	169	343	28	5	336	65	—	—	—	—	—	—
2017	23	AA	Reading Fightin Phils	—	51	45	10	2	0	1	3	20	2	0	0	222	300	333	633	111	360	39	6	285	42	—	—	—	—	—	—
2017	23	A+	Clearwater Threshers	—	152	140	31	7	1	5	7	51	4	0	0	221	278	393	671	171	306	34	5	297	33	—	—	—	—	—	—
2017	23	ROK	GCL Phillies	—	17	13	4	1	0	3	3	4	0	0	0	308	438	1.077	1.514	769	143	24	18	566	178	—	—	—	—	—	—
2017	23	INTL	Glendale Desert Dogs	—	68	62	16	4	0	2	4	20	2	0	0	258	324	419	743	161	350	29	6	332	111	—	—	—	—	—	—
2018	24	AAA	Lehigh Valley IronPigs	—	138	125	31	12	1	3	10	49	2	0	2	248	314	432	746	184	378	36	7	328	60	—	—	—	—	—	—
2018	24	AA	Reading Fightin Phils	—	312	277	81	23	1	17	28	80	7	1	0	292	372	567	939	274	356	26	9	408	93	—	—	—	—	—	—
2019	25	MLB	San Francisco Giants	—	16	14	2	1	0	0	2	6	0	0	0	143	250	214	464	71	250	38	12	224	38	-1	+0	+0	+1	+0	0.0
2019	25	AAA	Sacramento River Cats	—	297	252	71	18	1	25	39	99	3	1	0	282	384	659	1.043	377	351	33	13	440	99	—	—	—	—	—	—
2021	27	AAA	Nashville Sounds	—	378	327	70	18	0	15	40	148	7	0	1	214	313	407	720	193	327	39	11	320	52	—	—	—	—	—	—
2022	28	AAA	Tacoma Rainiers	—	378	339	77	23	1	18	28	113	5	1	0	227	296	460	756	233	276	30	7	327	57	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	16	14	2	1	0	0	2	6	0	0	0	143	250	214	464	71	250	38	12	224	38	-1	+0	+0	+1	+0	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	18	ROK MLE	GCL Phillies	—	183	172	35	9	1	2	5	62	5	2	2	203	247	302	550	99	291	34	3	233	44	—	—	—	—	—	—
2014	20	A MLE	Lakewood BlueClaws	—	358	335	81	19	2	5	17	85	1	7	1	242	280	355	636	113	295	24	5	276	73	—	—	—	—	—	—
2015	21	A+ MLE	Clearwater Threshers	—	111	105	15	2	0	1	5	42	0	0	0	143	182	190	372	48	217	38	5	161	-5	—	—	—	—	—	—
2016	22	A+ MLE	Clearwater Threshers	—	394	359	73	20	0	9	15	158	15	0	1	203	265	334	599	131	319	40	4	264	65	—	—	—	—	—	—
2017	23	AA MLE	Reading Fightin Phils	—	51	46	9	2	0	1	2	24	2	0	0	196	260	304	564	109	341	47	4	231	42	—	—	—	—	—	—
2017	23	A+ MLE	Clearwater Threshers	—	152	142	23	6	1	3	5	71	4	0	0	162	212	282	494	120	281	47	3	217	33	—	—	—	—	—	—
2017	23	ROK MLE	GCL Phillies	—	17	14	3	1	0	2	2	6	0	0	0	214	312	714	1.027	500	90	35	12	431	178	—	—	—	—	—	—
2018	24	AAA MLE	Lehigh Valley IronPigs	—	138	127	24	9	1	2	8	61	2	0	2	189	248	323	571	134	339	44	6	257	60	—	—	—	—	—	—
2018	24	AA MLE	Reading Fightin Phils	—	312	285	66	17	1	11	20	96	7	1	0	232	298	414	712	182	306	31	6	306	93	—	—	—	—	—	—
2019	25	MLB MLE	San Francisco Giants	—	16	14	2	1	0	0	2	6	0	0	0	143	250	214	464	71	250	38	12	225	38	-1	+0	+0	+1	+0	0.0
2019	25	AAA MLE	Sacramento River Cats	—	297	262	52	13	1	17	29	132	3	1	0	198	286	450	736	252	290	44	10	314	99	—	—	—	—	—	—
2021	27	AAA MLE	Nashville Sounds	—	378	338	57	13	0	11	29	174	7	0	1	169	249	305	553	136	283	46	8	245	52	—	—	—	—	—	—
2022	28	AAA MLE	Tacoma Rainiers	—	378	349	65	22	1	11	18	133	5	1	0	186	237	350	586	163	249	35	5	252	57	—	—	—	—	—	—
2012	18	ROK MLE	GCL Phillies	—	183	172	35	9	1	2	5	62	5	2	2	203	247	302	550	99	303	34	3	233	44	—	—	—	—	—	—
2012	18	ROK RAW	GCL Phillies	—	183	169	48	13	1	3	8	43	5	2	2	284	335	426	761	142	363	23	4	338	44	—	—	—	—	—	—
2014	20	A MLE	Lakewood BlueClaws	—	358	335	81	19	2	5	17	85	1	7	1	242	280	355	636	113	304	24	5	276	73	—	—	—	—	—	—
2014	20	A RAW	Lakewood BlueClaws	—	358	328	88	22	2	6	24	65	1	7	1	268	320	402	723	134	313	18	7	318	73	—	—	—	—	—	—
2015	21	A+ MLE	Clearwater Threshers	—	111	105	15	2	0	1	5	42	0	0	0	143	182	190	372	48	222	38	5	161	-5	—	—	—	—	—	—
2015	21	A+ RAW	Clearwater Threshers	—	111	104	18	2	0	1	6	28	0	0	0	173	218	221	439	48	224	25	5	202	-5	—	—	—	—	—	—
2016	22	A+ MLE	Clearwater Threshers	—	394	359	73	20	0	9	15	158	15	0	1	203	265	334	599	131	327	40	4	264	65	—	—	—	—	—	—
2016	22	A+ RAW	Clearwater Threshers	—	394	354	93	24	0	12	20	110	15	0	1	263	329	432	761	169	343	28	5	336	65	—	—	—	—	—	—
2017	23	A+ MLE	4 teams	—	288	265	45	11	1	8	12	132	8	0	0	170	228	309	538	140	289	46	4	237	46	—	—	—	—	—	—
2017	23	A+ RAW	4 teams	—	288	260	61	14	1	11	17	95	8	0	0	235	302	423	725	188	318	33	6	319	46	—	—	—	—	—	—
2018	24	AA MLE	2 teams	—	450	413	92	26	2	14	27	157	9	1	2	223	285	397	682	174	321	35	6	291	83	—	—	—	—	—	—
2018	24	AA RAW	2 teams	—	450	402	112	35	2	20	38	129	9	1	2	279	354	525	879	246	362	29	8	384	83	—	—	—	—	—	—
2019	25	AAA MLE	2 teams	—	313	276	54	14	1	17	31	138	3	1	0	196	284	438	722	243	298	44	10	309	96	—	—	—	—	—	—
2019	25	AAA RAW	2 teams	—	313	266	73	19	1	25	41	105	3	1	0	274	377	635	1.013	361	345	34	13	429	96	—	—	—	—	—	—
2021	27	AAA MLE	Nashville Sounds	—	378	338	57	13	0	11	29	174	7	0	1	169	249	305	553	136	293	46	8	245	52	—	—	—	—	—	—
2021	27	AAA RAW	Nashville Sounds	—	378	327	70	18	0	15	40	148	7	0	1	214	313	407	720	193	327	39	11	320	52	—	—	—	—	—	—
2022	28	AAA MLE	Tacoma Rainiers	—	378	349	65	22	1	11	18	133	5	1	0	186	237	350	586	163	256	35	5	252	57	—	—	—	—	—	—
2022	28	AAA RAW	Tacoma Rainiers	—	378	339	77	23	1	18	28	113	5	1	0	227	296	460	756	233	276	30	7	327	57	—	—	—	—	—	—
2012	18	ROK MLE	GCL Phillies	—	183	171	35	9	1	2	5	62	5	2	2	205	247	304	551	99	291	34	3	233	44	—	—	—	—	—	—
2014	20	A MLE	Lakewood BlueClaws	—	358	337	81	19	2	5	17	85	1	7	1	240	280	353	634	113	295	24	5	276	73	—	—	—	—	—	—
2015	21	A+ MLE	Clearwater Threshers	—	111	105	15	2	0	1	5	42	0	0	0	143	182	190	372	48	217	38	5	161	-5	—	—	—	—	—	—
2016	22	A+ MLE	Clearwater Threshers	—	394	361	73	20	0	9	15	158	15	0	1	202	265	332	597	130	319	40	4	264	65	—	—	—	—	—	—
2017	23	A+ MLE	4 teams	—	288	266	45	11	1	8	12	132	8	0	0	169	228	308	536	139	280	46	4	237	46	—	—	—	—	—	—
2018	24	AA MLE	2 teams	—	450	411	92	26	2	14	27	157	9	1	2	224	285	399	684	175	316	35	6	291	83	—	—	—	—	—	—
2019	25	AAA MLE	2 teams	—	313	276	54	14	1	17	31	138	3	1	0	196	284	438	722	243	288	44	10	309	96	—	—	—	—	—	—
2021	27	AAA MLE	Nashville Sounds	—	378	339	57	13	0	11	29	174	7	0	1	168	249	304	552	136	283	46	8	245	52	—	—	—	—	—	—
2022	28	AAA MLE	Tacoma Rainiers	—	378	352	65	22	1	11	18	133	5	1	0	185	237	347	583	162	249	35	5	252	57	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	16	14	2	1	0	0	2	6	0	0	0	143	250	214	464	71	250	38	12	224	63	-1	+0	+0	+1	+0	0.0
/ 162G	—	A+C		—	650	569	82	41	0	0	81	244	0	0	0	144	251	216	467	72	252	38	12	224	63	-48	+0	+6	+45	+14	1.8
Career	—	MLE		—	2853	2612	517	136	8	78	159	1081	53	12	7	198	258	346	604	148	296	38	6	262	63	-1	+0	+0	+1	+0	0.0
/ 162G	—	MLE		—	650	595	118	31	2	18	36	246	12	3	2	198	258	348	606	150	297	38	6	262	63	-48	+0	+6	+45	+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.

2022 AAATacoma Rainiers · 378 PAwOBA .323 → .252 (−70)K% 29.9% → 35.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.89%	÷1.020	×1.200	—	—	35.19%
BB% (unintentional) /PA	7.41%	÷1.048	×0.690	—	×0.992	4.84%
HBP% /PA	1.32%	—	×0.940	—	×0.992	1.23%
Singles /BIP	15.49%	÷1.013	×0.930	×0.992	×0.992	13.99%
Doubles /BIP	10.18%	÷0.839	×0.830	×0.992	×0.992	9.91%
Triples /BIP	0.44%	÷0.902	×0.970	×0.992	×0.992	0.47%
Home runs /BIP	7.96%	÷1.144	×0.700	—	×0.992	4.84%

Factors used: league row International League. Park (home-season share, regressed): HR 129, 1B 103, 2B 68, 3B 80, K 104, BB 110 — 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 ×0.992.

Result: wOBA .323 → .252; ISO .233 → .166; BABIP .276 → .249. 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 AAANashville Sounds · 378 PAwOBA .315 → .245 (−69)K% 39.2% → 45.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	39.15%	÷1.024	×1.200	—	—	45.89%
BB% (unintentional) /PA	10.58%	÷0.946	×0.690	—	×1.003	7.74%
HBP% /PA	1.85%	—	×0.940	—	×1.003	1.75%
Singles /BIP	20.67%	÷0.966	×0.930	×0.966	×1.003	19.27%
Doubles /BIP	10.06%	÷1.030	×0.830	×0.966	×1.003	7.85%
Triples /BIP	0.00%	÷1.150	×0.920	×0.966	×1.003	0.00%
Home runs /BIP	8.38%	÷0.915	×0.700	—	×1.003	6.43%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 93, 2B 106, 3B 130, K 105, BB 89 — 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 ×0.966.

Result: wOBA .315 → .245; ISO .193 → .140; BABIP .327 → .283. 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 AAASacramento River Cats · 297 PAwOBA .431 → .314 (−117)K% 33.3% → 44.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.971	×1.290	—	—	44.27%
BB% (unintentional) /PA	12.79%	÷0.980	×0.710	—	×1.033	9.57%
HBP% /PA	1.01%	—	×0.980	—	×1.033	1.02%
Singles /BIP	17.65%	÷0.982	×0.900	×0.950	×1.033	15.87%
Doubles /BIP	11.76%	÷0.981	×0.810	×0.950	×1.033	9.54%
Triples /BIP	0.65%	÷1.008	×0.810	×0.950	×1.033	0.52%
Home runs /BIP	16.34%	÷1.027	×0.780	—	×1.033	12.82%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 96, 2B 96, 3B 102, K 94, BB 96 — 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 ×0.950.

Result: wOBA .431 → .314; ISO .377 → .261; BABIP .351 → .290. 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 AAReading Fightin Phils · 312 PAwOBA .396 → .306 (−90)K% 25.6% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.64%	÷1.015	×1.220	—	—	30.82%
BB% (unintentional) /PA	8.65%	÷0.978	×0.700	—	×1.012	6.27%
HBP% /PA	2.24%	—	×0.850	—	×1.012	1.93%
Singles /BIP	20.30%	÷0.964	×0.970	×0.950	×1.012	19.65%
Doubles /BIP	11.68%	÷1.101	×0.860	×0.950	×1.012	8.77%
Triples /BIP	0.51%	÷1.150	×0.950	×0.950	×1.012	0.40%
Home runs /BIP	8.63%	÷1.164	×0.780	—	×1.012	5.85%

Factors used: league row EL. Park (home-season share, regressed): HR 133, 1B 93, 2B 120, 3B 130, K 103, 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 ×0.950.

Result: wOBA .396 → .306; ISO .274 → .186; BABIP .356 → .306. 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 AAALehigh Valley IronPigs · 138 PAwOBA .322 → .257 (−65)K% 35.5% → 44.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.51%	÷0.962	×1.200	—	—	44.28%
BB% (unintentional) /PA	7.25%	÷0.932	×0.690	—	×1.048	5.62%
HBP% /PA	1.45%	—	×0.940	—	×1.048	1.43%
Singles /BIP	19.74%	÷1.000	×0.930	×0.950	×1.048	18.28%
Doubles /BIP	15.79%	÷0.971	×0.830	×0.950	×1.048	13.43%
Triples /BIP	1.32%	÷0.900	×0.970	×0.950	×1.048	1.41%
Home runs /BIP	3.95%	÷0.954	×0.840	—	×1.048	3.64%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 100, 2B 94, 3B 80, K 92, BB 86 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .322 → .257; ISO .184 → .146; BABIP .378 → .339. 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+Clearwater Threshers · 152 PAwOBA .290 → .217 (−74)K% 33.6% → 46.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.55%	÷1.016	×1.420	—	—	46.90%
BB% (unintentional) /PA	4.61%	÷0.998	×0.750	—	×0.998	3.45%
HBP% /PA	2.63%	—	×0.930	—	×0.998	2.44%
Singles /BIP	20.22%	÷0.989	×0.920	×0.973	×0.998	18.26%
Doubles /BIP	7.87%	÷0.907	×0.960	×0.973	×0.998	8.08%
Triples /BIP	1.12%	÷1.002	×0.810	×0.973	×0.998	0.88%
Home runs /BIP	5.62%	÷1.058	×0.880	—	×0.998	4.66%

Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 98, 2B 82, 3B 100, K 103, BB 100 — 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 ×0.973.

Result: wOBA .290 → .217; ISO .171 → .122; BABIP .306 → .281. 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 AAReading Fightin Phils · 51 PAwOBA .283 → .231 (−52)K% 39.2% → 47.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	39.22%	÷1.012	×1.220	—	—	47.27%
BB% (unintentional) /PA	5.88%	÷1.045	×0.700	—	×1.027	4.05%
HBP% /PA	3.92%	—	×0.850	—	×1.027	3.42%
Singles /BIP	28.00%	÷1.013	×0.970	—	×1.027	27.55%
Doubles /BIP	8.00%	÷0.986	×0.860	—	×1.027	7.16%
Triples /BIP	0.00%	÷1.063	×0.950	—	×1.027	0.00%
Home runs /BIP	4.00%	÷1.220	×0.780	—	×1.027	2.63%

Factors used: league row EL. Park (home-season share, regressed): HR 144, 1B 103, 2B 97, 3B 113, K 102, BB 109 — 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).

Result: wOBA .283 → .231; ISO .111 → .077; BABIP .360 → .341. 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 Phillies · 17 PAwOBA .583 → .431 (−152)K% 23.5% → 33.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.000	×1.440	—	—	33.88%
BB% (unintentional) /PA	17.65%	÷1.000	×0.620	—	×0.965	10.56%
HBP% /PA	0.00%	—	×0.720	—	×0.965	0.00%
Singles /BIP	0.00%	÷1.000	×0.820	—	×0.965	0.00%
Doubles /BIP	11.11%	÷1.000	×0.720	—	×0.965	7.72%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.965	0.00%
Home runs /BIP	33.33%	÷1.000	×0.780	—	×0.965	25.09%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .583 → .431; ISO .769 → .603; BABIP .143 → .090. 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 — .