Troy Stokes Jr.

PosLF

B/TR/R

Born1996-02-02

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	23	AAASD	381	.233/.345/.385	9	14	60	—	.182/.271/.292
2021	25	AAAMIL	239	.188/.297/.309	4	9	45	—	.164/.251/.252
2021	25	MLBPIT	20	.111/.200/.167	0	1	7	-0.4
2023	27	INTLAguilas de Me…	63	.173/.306/.269	1	0	70	—
2024	28	No MLB games played
2025	29	No MLB games played
2026	30	No MLB games played

Last 3 seasons WAR -0.4

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)
2014	18	ROK	AZL Brewers	—	207	172	45	10	1	0	24	47	5	19	3	262	368	331	700	70	352	23	12	317	40	—	—	—	—	—	—
2015	19	ROK	Helena Brewers	—	271	226	61	12	2	5	33	50	9	26	6	270	384	407	791	137	327	18	12	357	55	—	—	—	—	—	—
2016	20	A	Wisconsin Timber Rattlers	—	366	314	84	20	4	4	36	62	10	20	4	268	361	395	756	127	319	17	10	338	71	—	—	—	—	—	—
2017	21	AA	Biloxi Shuckers	—	153	135	34	9	0	6	16	34	1	9	3	252	336	452	787	200	292	22	10	347	71	—	—	—	—	—	—
2017	21	A+	Carolina Mudcats	—	426	364	91	19	5	14	47	77	7	22	9	250	347	445	792	195	278	18	11	346	77	—	—	—	—	—	—
2018	22	AA	Biloxi Shuckers	—	551	467	109	23	6	19	65	147	15	19	2	233	346	430	776	197	295	27	12	345	75	—	—	—	—	—	—
2018	22	INTL	Tigres de Aragua	—	110	94	28	2	0	4	13	18	2	7	0	298	394	447	841	149	329	16	12	376	140	—	—	—	—	—	—
2019	23	AAA	San Antonio Missions	—	381	322	75	22	0	9	47	87	8	14	3	233	345	385	730	152	287	23	12	329	60	—	—	—	—	—	—
2021	25	MLB	Pittsburgh Pirates	—	20	18	2	1	0	0	1	5	1	1	0	111	200	167	367	56	154	25	5	181	7	-2	+0	+0	-3	+0	-0.4
2021	25	AAA	Nashville Sounds	—	239	207	39	7	3	4	27	56	5	9	2	188	297	309	606	121	238	23	11	282	45	—	—	—	—	—	—
2023	27	INTL	Aguilas de Mexicali	—	63	52	9	2	0	1	8	17	2	0	3	173	306	269	576	96	235	27	13	272	70	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	20	18	2	1	0	0	1	5	1	1	0	111	200	167	367	56	154	25	5	181	9	-2	+0	+0	-3	+0	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	18	ROK MLE	AZL Brewers	—	207	181	35	7	1	0	15	68	5	19	3	193	274	243	517	50	279	33	7	228	40	—	—	—	—	—	—
2015	19	ROK MLE	Helena Brewers	—	271	239	46	8	1	4	20	72	9	26	6	192	280	285	564	92	254	27	7	250	55	—	—	—	—	—	—
2016	20	A MLE	Wisconsin Timber Rattlers	—	366	324	72	17	3	3	26	82	10	20	4	222	300	321	621	99	279	22	7	273	71	—	—	—	—	—	—
2017	21	AA MLE	Biloxi Shuckers	—	153	140	31	9	0	4	11	43	1	9	3	221	283	371	654	150	275	28	7	273	71	—	—	—	—	—	—
2017	21	A+ MLE	Carolina Mudcats	—	426	381	80	15	4	13	30	110	7	22	9	210	280	373	653	163	247	26	7	282	77	—	—	—	—	—	—
2018	22	AA MLE	Biloxi Shuckers	—	551	485	94	21	5	14	47	192	15	19	2	194	285	344	630	151	280	35	9	279	75	—	—	—	—	—	—
2019	23	AAA MLE	San Antonio Missions	—	381	336	61	16	0	7	33	115	8	14	3	182	271	292	562	110	245	30	9	257	60	—	—	—	—	—	—
2021	25	MLB MLE	Pittsburgh Pirates	—	20	18	2	1	0	0	1	5	1	1	0	111	200	167	367	56	154	25	5	179	7	-2	+0	+0	-3	+0	-0.4
2021	25	AAA MLE	Nashville Sounds	—	239	214	35	6	2	3	20	66	5	9	2	164	251	252	503	89	222	28	8	234	45	—	—	—	—	—	—
2014	18	ROK MLE	AZL Brewers	—	207	181	35	7	1	0	15	68	5	19	3	193	274	243	517	50	302	33	7	228	40	—	—	—	—	—	—
2014	18	ROK RAW	AZL Brewers	—	207	172	45	10	1	0	24	47	5	19	3	262	368	331	700	70	352	23	12	317	40	—	—	—	—	—	—
2015	19	ROK MLE	Helena Brewers	—	271	239	46	8	1	4	20	72	9	26	6	192	280	285	564	92	258	27	7	250	55	—	—	—	—	—	—
2015	19	ROK RAW	Helena Brewers	—	271	226	61	12	2	5	33	50	9	26	6	270	384	407	791	137	327	18	12	357	55	—	—	—	—	—	—
2016	20	A MLE	Wisconsin Timber Rattlers	—	366	324	72	17	3	3	26	82	10	20	4	222	300	321	621	99	285	22	7	273	71	—	—	—	—	—	—
2016	20	A RAW	Wisconsin Timber Rattlers	—	366	314	84	20	4	4	36	62	10	20	4	268	361	395	756	127	319	17	10	338	71	—	—	—	—	—	—
2017	21	A+ MLE	2 teams	—	579	521	110	23	4	17	41	154	8	31	12	211	279	369	647	157	262	27	7	280	75	—	—	—	—	—	—
2017	21	A+ RAW	2 teams	—	579	499	125	28	5	20	63	111	8	31	12	251	344	447	791	196	282	19	11	347	75	—	—	—	—	—	—
2018	22	AA MLE	2 teams	—	661	583	114	26	7	16	56	231	17	26	2	196	285	346	632	151	287	35	8	279	75	—	—	—	—	—	—
2018	22	AA RAW	2 teams	—	661	561	137	25	6	23	78	165	17	26	2	244	354	433	787	189	302	25	12	350	75	—	—	—	—	—	—
2019	23	AAA MLE	San Antonio Missions	—	381	336	61	16	0	7	33	115	8	14	3	182	271	292	562	110	248	30	9	257	60	—	—	—	—	—	—
2019	23	AAA RAW	San Antonio Missions	—	381	322	75	22	0	9	47	87	8	14	3	233	345	385	730	152	287	23	12	329	60	—	—	—	—	—	—
2021	25	AAA MLE	2 teams	—	259	232	37	7	2	3	21	71	6	10	2	159	247	246	493	86	215	27	8	230	42	—	—	—	—	—	—
2021	25	AAA RAW	2 teams	—	259	225	41	8	3	4	28	61	6	10	2	182	290	298	587	116	231	24	11	274	42	—	—	—	—	—	—
2023	27	INTL MLE	Aguilas de Mexicali	—	63	52	9	2	0	1	8	17	2	0	3	173	306	269	576	96	235	27	13	—	—	—	—	—	—	—	—
2023	27	INTL RAW	Aguilas de Mexicali	—	63	52	9	2	0	1	8	17	2	0	3	173	306	269	576	96	235	27	13	272	70	—	—	—	—	—	—
2014	18	ROK MLE	AZL Brewers	—	207	185	35	7	1	0	15	68	5	19	3	189	274	238	511	49	279	33	7	228	40	—	—	—	—	—	—
2015	19	ROK MLE	Helena Brewers	—	271	240	46	8	1	4	20	72	9	26	6	192	280	283	563	92	254	27	7	250	55	—	—	—	—	—	—
2016	20	A MLE	Wisconsin Timber Rattlers	—	366	327	72	17	3	3	26	82	10	20	4	220	300	318	618	98	279	22	7	273	71	—	—	—	—	—	—
2017	21	A+ MLE	2 teams	—	579	525	110	23	4	17	41	154	8	31	12	210	279	366	645	156	254	27	7	280	75	—	—	—	—	—	—
2018	22	AA MLE	2 teams	—	661	583	114	26	7	16	56	231	17	26	2	196	285	346	632	151	280	35	8	279	75	—	—	—	—	—	—
2019	23	AAA MLE	San Antonio Missions	—	381	337	61	16	0	7	33	115	8	14	3	181	271	291	561	110	245	30	9	257	60	—	—	—	—	—	—
2021	25	AAA MLE	2 teams	—	259	230	37	7	2	3	21	71	6	10	2	161	247	248	495	87	217	27	8	230	42	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	20	18	2	1	0	0	1	5	1	1	0	111	200	167	367	56	154	25	5	181	61	-2	+0	+0	-3	+0	-0.4
/ 162G	—	A+C		—	650	585	64	32	0	0	32	162	32	32	0	109	197	164	361	55	151	25	5	181	61	-71	+6	+14	-90	+14	-12.8
Career	—	MLE		—	2787	2468	484	106	18	51	220	810	65	146	35	196	279	316	595	120	266	29	8	258	61	-2	+0	+0	-3	+0	-0.4
/ 162G	—	MLE		—	650	576	113	25	4	12	51	189	15	34	8	196	279	316	595	120	266	29	8	258	61	-71	+6	+14	-90	+14	-12.8

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.

2021 AAANashville Sounds · 239 PAwOBA .275 → .234 (−41)K% 23.4% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.43%	÷1.024	×1.200	—	—	27.46%
BB% (unintentional) /PA	11.30%	÷0.946	×0.690	—	×1.033	8.51%
HBP% /PA	2.09%	—	×0.940	—	×1.033	2.03%
Singles /BIP	16.56%	÷0.966	×0.930	×0.991	×1.033	16.32%
Doubles /BIP	4.64%	÷1.030	×0.830	×0.991	×1.033	3.83%
Triples /BIP	1.99%	÷1.150	×0.920	×0.991	×1.033	1.63%
Home runs /BIP	2.65%	÷0.915	×0.700	—	×1.033	2.09%

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 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 ×0.991.

Result: wOBA .275 → .234; ISO .121 → .096; BABIP .238 → .222. 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 AAASan Antonio Missions · 381 PAwOBA .325 → .257 (−67)K% 22.8% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.83%	÷0.979	×1.290	—	—	30.07%
BB% (unintentional) /PA	12.34%	÷1.055	×0.710	—	×1.050	8.72%
HBP% /PA	2.10%	—	×0.980	—	×1.050	2.16%
Singles /BIP	18.72%	÷0.995	×0.900	×0.950	×1.050	16.90%
Doubles /BIP	9.36%	÷1.045	×0.810	×0.950	×1.050	7.24%
Triples /BIP	0.00%	÷0.930	×0.810	×0.950	×1.050	0.00%
Home runs /BIP	3.83%	÷0.977	×0.780	—	×1.050	3.21%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 99, 2B 109, 3B 86, K 96, BB 111 — 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 ×0.950.

Result: wOBA .325 → .257; ISO .152 → .118; BABIP .287 → .245. 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 AABiloxi Shuckers · 551 PAwOBA .338 → .279 (−60)K% 26.7% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.68%	÷0.933	×1.220	—	—	34.88%
BB% (unintentional) /PA	11.62%	÷0.964	×0.680	—	×1.042	8.53%
HBP% /PA	2.72%	—	×0.840	—	×1.042	2.38%
Singles /BIP	19.06%	÷0.967	×0.920	×0.960	×1.042	18.13%
Doubles /BIP	7.19%	÷0.918	×0.910	×0.960	×1.042	7.13%
Triples /BIP	1.88%	÷0.900	×0.880	×0.960	×1.042	1.83%
Home runs /BIP	5.94%	÷1.078	×0.800	—	×1.042	4.59%

Factors used: league row SL. Park (home-season share, regressed): HR 116, 1B 93, 2B 84, 3B 80, K 87, BB 93 — 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 ×0.960.

Result: wOBA .338 → .279; ISO .197 → .157; BABIP .295 → .280. 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+Carolina Mudcats · 426 PAwOBA .339 → .282 (−57)K% 18.1% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.08%	÷0.990	×1.420	—	—	25.93%
BB% (unintentional) /PA	10.56%	÷0.973	×0.630	—	×1.027	7.02%
HBP% /PA	1.64%	—	×0.860	—	×1.027	1.45%
Singles /BIP	18.47%	÷1.004	×0.940	×0.966	×1.027	17.16%
Doubles /BIP	6.62%	÷1.034	×0.830	×0.966	×1.027	5.28%
Triples /BIP	1.74%	÷0.944	×0.800	×0.966	×1.027	1.47%
Home runs /BIP	4.88%	÷0.959	×0.900	—	×1.027	4.70%

Factors used: league row CAR. Park (home-season share, regressed): HR 92, 1B 101, 2B 107, 3B 89, K 98, BB 95 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .339 → .282; ISO .195 → .171; BABIP .278 → .247. 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 AABiloxi Shuckers · 153 PAwOBA .340 → .273 (−67)K% 22.2% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.959	×1.220	—	—	28.27%
BB% (unintentional) /PA	10.46%	÷1.035	×0.680	—	×1.050	7.22%
HBP% /PA	0.65%	—	×0.840	—	×1.050	0.58%
Singles /BIP	18.81%	÷0.986	×0.920	×0.976	×1.050	17.98%
Doubles /BIP	8.91%	÷0.946	×0.910	×0.976	×1.050	8.79%
Triples /BIP	0.00%	÷0.915	×0.880	×0.976	×1.050	0.00%
Home runs /BIP	5.94%	÷1.393	×0.800	—	×1.050	3.58%

Factors used: league row SL. Park (home-season share, regressed): HR 179, 1B 97, 2B 89, 3B 83, K 92, BB 107 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .340 → .273; ISO .200 → .142; BABIP .292 → .275. 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 AWisconsin Timber Rattlers · 366 PAwOBA .332 → .273 (−59)K% 16.9% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.94%	÷1.022	×1.360	—	—	22.54%
BB% (unintentional) /PA	9.84%	÷0.985	×0.690	—	×1.030	7.10%
HBP% /PA	2.73%	—	×0.780	—	×1.030	2.20%
Singles /BIP	22.22%	÷1.023	×0.920	×0.962	×1.030	19.80%
Doubles /BIP	7.94%	÷0.953	×0.830	×0.962	×1.030	6.85%
Triples /BIP	1.59%	÷1.150	×0.910	×0.962	×1.030	1.24%
Home runs /BIP	1.59%	÷1.161	×0.800	—	×1.030	1.13%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 105, 2B 91, 3B 130, K 104, BB 97 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .332 → .273; ISO .127 → .101; BABIP .319 → .279. 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 ROKHelena Brewers · 271 PAwOBA .347 → .250 (−97)K% 18.5% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.45%	÷1.000	×1.440	—	—	26.57%
BB% (unintentional) /PA	11.81%	÷1.000	×0.610	—	×1.008	7.26%
HBP% /PA	3.32%	—	×0.720	—	×1.008	2.41%
Singles /BIP	23.86%	÷1.000	×0.820	×0.975	×1.008	19.23%
Doubles /BIP	6.82%	÷1.000	×0.720	×0.975	×1.008	4.82%
Triples /BIP	1.14%	÷1.000	×0.720	×0.975	×1.008	0.80%
Home runs /BIP	2.84%	÷1.000	×0.750	—	×1.008	2.15%

Factors used: league row PIO. 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 ×0.975.

Result: wOBA .347 → .250; ISO .137 → .098; BABIP .327 → .254. 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 ROKAZL Brewers · 207 PAwOBA .314 → .228 (−87)K% 22.7% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.71%	÷1.000	×1.440	—	—	32.70%
BB% (unintentional) /PA	11.59%	÷1.000	×0.620	—	×1.022	7.35%
HBP% /PA	2.42%	—	×0.720	—	×1.022	1.78%
Singles /BIP	27.20%	÷1.000	×0.820	×0.975	×1.022	22.24%
Doubles /BIP	8.00%	÷1.000	×0.720	×0.975	×1.022	5.74%
Triples /BIP	0.80%	÷1.000	×0.720	×0.975	×1.022	0.57%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.022	0.00%

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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .314 → .228; ISO .070 → .048; BABIP .352 → .279. 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 — .