Josh Stephen

PosLF

B/TL/L

Born1997-09-22

Age (2027)29

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	20	ALakewood Blue…	337	.242/.290/.347	4	4	46	—	.212/.248/.297
2019	21	AA/INTL2 orgs	442	.269/.340/.467	12	7	79	—	.225/.279/.385
2021	23	AAPHI	370	.208/.310/.344	8	5	43	—	.176/.255/.274

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	18	ROK	GCL Phillies	—	184	162	41	7	3	2	18	39	3	6	6	253	339	370	709	117	322	21	10	321	41	—	—	—	—	—	—
2018	20	A	Lakewood BlueClaws	—	337	314	76	17	2	4	19	71	2	4	1	242	290	347	637	105	299	21	6	285	46	—	—	—	—	—	—
2019	21	AA	Reading Fightin Phils	—	403	362	98	29	6	12	39	110	1	7	6	271	343	483	827	213	357	27	10	362	79	—	—	—	—	—	—
2019	21	INTL	Scottsdale Scorpions	—	39	36	9	0	1	0	3	7	0	0	0	250	308	306	613	56	310	18	8	281	76	—	—	—	—	—	—
2021	23	AA	Reading Fightin Phils	—	370	317	66	15	2	8	42	87	5	5	3	208	310	344	654	136	254	24	11	295	43	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	18	ROK MLE	GCL Phillies	—	184	169	31	5	2	1	11	56	3	6	6	183	246	254	500	71	268	30	6	229	41	—	—	—	—	—	—
2018	20	A MLE	Lakewood BlueClaws	—	337	320	68	14	2	3	13	97	2	4	1	212	248	297	545	84	287	29	4	236	46	—	—	—	—	—	—
2019	21	AA MLE	Reading Fightin Phils	—	403	374	84	24	6	8	27	135	1	7	6	225	279	385	664	160	322	33	7	285	79	—	—	—	—	—	—
2021	23	AA MLE	Reading Fightin Phils	—	370	329	58	13	2	5	30	108	5	5	3	176	255	274	529	97	227	29	8	232	43	—	—	—	—	—	—
2016	18	ROK MLE	GCL Phillies	—	184	169	31	5	2	1	11	56	3	6	6	183	246	254	500	71	268	30	6	229	41	—	—	—	—	—	—
2016	18	ROK RAW	GCL Phillies	—	184	162	41	7	3	2	18	39	3	6	6	253	339	370	709	117	322	21	10	321	41	—	—	—	—	—	—
2018	20	A MLE	Lakewood BlueClaws	—	337	320	68	14	2	3	13	97	2	4	1	212	248	297	545	84	293	29	4	236	46	—	—	—	—	—	—
2018	20	A RAW	Lakewood BlueClaws	—	337	314	76	17	2	4	19	71	2	4	1	242	290	347	637	105	299	21	6	285	46	—	—	—	—	—	—
2019	21	AA MLE	2 teams	—	442	410	91	26	6	9	30	148	1	7	6	222	277	380	657	159	323	33	7	285	79	—	—	—	—	—	—
2019	21	AA RAW	2 teams	—	442	398	107	29	7	12	42	117	1	7	6	269	340	467	807	198	352	26	10	355	79	—	—	—	—	—	—
2021	23	AA MLE	Reading Fightin Phils	—	370	329	58	13	2	5	30	108	5	5	3	176	255	274	529	97	239	29	8	232	43	—	—	—	—	—	—
2021	23	AA RAW	Reading Fightin Phils	—	370	317	66	15	2	8	42	87	5	5	3	208	310	344	654	136	254	24	11	295	43	—	—	—	—	—	—
2016	18	ROK MLE	GCL Phillies	—	184	168	31	5	2	1	11	56	3	6	6	185	246	256	502	71	268	30	6	229	41	—	—	—	—	—	—
2018	20	A MLE	Lakewood BlueClaws	—	337	319	68	14	2	3	13	97	2	4	1	213	248	298	546	85	287	29	4	236	46	—	—	—	—	—	—
2019	21	AA MLE	2 teams	—	442	408	91	26	6	9	30	148	1	7	6	223	277	382	659	159	322	33	7	285	79	—	—	—	—	—	—
2021	23	AA MLE	Reading Fightin Phils	—	370	332	58	13	2	5	30	108	5	5	3	175	255	271	527	96	227	29	8	232	43	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1333	1228	248	58	12	18	84	409	11	22	16	202	259	313	572	111	284	31	6	250	55	-71	-2	+0	-14	+29	-5.9
/ 162G	—	MLE		—	650	599	121	28	6	9	41	199	5	11	8	202	259	314	572	112	284	31	6	250	55	-34	-1	+0	-7	+14	-2.9

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.

2021 AAReading Fightin Phils · 370 PAwOBA .293 → .232 (−60)K% 23.5% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.51%	÷0.985	×1.220	—	—	29.12%
BB% (unintentional) /PA	11.35%	÷0.989	×0.690	—	×1.012	8.02%
HBP% /PA	1.35%	—	×0.850	—	×1.012	1.16%
Singles /BIP	17.83%	÷0.989	×0.940	×0.968	×1.012	16.60%
Doubles /BIP	6.52%	÷0.993	×0.870	×0.968	×1.012	5.60%
Triples /BIP	0.87%	÷1.150	×0.920	×0.968	×1.012	0.68%
Home runs /BIP	3.48%	÷1.344	×0.780	—	×1.012	2.04%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 169, 1B 98, 2B 99, 3B 130, K 97, BB 98 — 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 ×0.968.

Result: wOBA .293 → .232; ISO .136 → .094; BABIP .254 → .227. 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 AAReading Fightin Phils · 403 PAwOBA .352 → .285 (−67)K% 27.3% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.30%	÷0.995	×1.220	—	—	33.47%
BB% (unintentional) /PA	9.18%	÷0.978	×0.700	—	×1.042	6.85%
HBP% /PA	0.25%	—	×0.850	—	×1.042	0.22%
Singles /BIP	20.24%	÷1.023	×0.970	×0.950	×1.042	18.99%
Doubles /BIP	11.51%	÷0.980	×0.860	×0.950	×1.042	9.99%
Triples /BIP	2.38%	÷0.959	×0.950	×0.950	×1.042	2.33%
Home runs /BIP	4.76%	÷1.182	×0.780	—	×1.042	3.27%

Factors used: league row EL. Park (home-season share, regressed): HR 136, 1B 105, 2B 96, 3B 92, K 99, BB 96 — 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 ×0.950.

Result: wOBA .352 → .285; ISO .213 → .162; BABIP .357 → .322. 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 ALakewood BlueClaws · 337 PAwOBA .279 → .236 (−43)K% 21.1% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.07%	÷0.976	×1.340	—	—	28.94%
BB% (unintentional) /PA	5.64%	÷0.987	×0.660	—	×1.015	3.83%
HBP% /PA	0.59%	—	×0.770	—	×1.015	0.46%
Singles /BIP	21.81%	÷0.960	×0.920	×1.028	×1.015	21.80%
Doubles /BIP	7.00%	÷0.992	×0.820	×1.028	×1.015	6.03%
Triples /BIP	0.82%	÷1.086	×0.940	×1.028	×1.015	0.74%
Home runs /BIP	1.65%	÷0.966	×0.820	—	×1.015	1.42%

Factors used: league row SAL. Park (home-season share, regressed): HR 93, 1B 92, 2B 98, 3B 117, K 95, BB 97 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .279 → .236; ISO .105 → .084; BABIP .299 → .287. 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 ROKGCL Phillies · 184 PAwOBA .313 → .229 (−84)K% 21.2% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.20%	÷1.000	×1.440	—	—	30.52%
BB% (unintentional) /PA	9.78%	÷1.000	×0.620	—	×1.008	6.11%
HBP% /PA	1.63%	—	×0.720	—	×1.008	1.18%
Singles /BIP	23.58%	÷1.000	×0.820	×1.041	×1.008	20.27%
Doubles /BIP	5.69%	÷1.000	×0.720	×1.041	×1.008	4.30%
Triples /BIP	2.44%	÷1.000	×0.720	×1.041	×1.008	1.84%
Home runs /BIP	1.63%	÷1.000	×0.780	—	×1.008	1.28%

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 ×1.041.

Result: wOBA .313 → .229; ISO .117 → .083; BABIP .322 → .268. 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 — .