Isiah Gilliam

PosOF

B/TS/R

Born1996-07-23

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

INTLPROSPECT

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	27	AAA/AASEA	523	.276/.394/.501	25	25	104	—	.236/.321/.424
2024	28	AAASEA	139	.222/.396/.435	4	6	78	—	.178/.302/.314
2025	29	INTLAlgodoneros d…	25	.100/.280/.100	0	0	30	—

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2024 AAA

BB%98

Max EV95

Chase%88

Speed84

K%16

Whiff%8

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)
2015	19	ROK	GCL Yankees2	—	153	135	40	11	1	1	15	23	0	2	2	296	367	415	781	119	342	15	10	345	65	—	—	—	—	—	—
2016	20	ROK	Pulaski Yankees	—	239	218	52	14	0	10	17	64	3	3	0	239	303	440	743	202	290	27	7	327	35	—	—	—	—	—	—
2017	21	A	Charleston RiverDogs	—	511	444	122	33	4	15	55	111	5	9	5	275	361	468	830	194	329	22	11	363	80	—	—	—	—	—	—
2018	22	A+	Tampa Tarpons	—	520	474	123	22	2	13	36	151	4	4	5	259	317	397	714	137	348	29	7	316	49	—	—	—	—	—	—
2019	23	AA	Trenton Thunder	—	177	161	29	5	1	9	13	61	2	0	2	180	250	391	641	211	217	34	7	282	29	—	—	—	—	—	—
2019	23	A+	Tampa Tarpons	—	281	249	67	15	0	8	29	93	3	13	6	269	352	426	778	157	399	33	10	349	48	—	—	—	—	—	—
2021	25	AA	Somerset Patriots	—	383	328	77	22	1	11	47	116	4	26	10	235	338	409	746	174	322	30	12	333	72	—	—	—	—	—	—
2021	25	INTL	Indios de Mayaguez	—	56	43	13	3	0	1	12	13	0	2	3	302	455	442	896	140	414	23	21	401	157	—	—	—	—	—	—
2022	26	AAA	Louisville Bats	—	180	158	40	10	3	6	20	58	1	4	0	253	341	468	809	215	358	32	11	355	67	—	—	—	—	—	—
2022	26	AA	Chattanooga Lookouts	—	263	229	66	14	1	12	29	84	4	9	1	288	378	515	893	227	403	32	11	392	88	—	—	—	—	—	—
2022	26	INTL	Tomateros de Culiacan	—	116	100	20	8	1	2	15	24	0	4	3	200	304	360	664	160	240	21	13	299	88	—	—	—	—	—	—
2023	27	AAA	Tacoma Rainiers	—	101	83	21	4	0	3	15	25	3	3	2	253	386	410	796	157	327	25	15	364	84	—	—	—	—	—	—
2023	27	AA	Arkansas Travelers	—	422	352	99	17	1	22	62	136	5	22	5	281	396	523	919	241	391	32	15	402	109	—	—	—	—	—	—
2024	28	AAA	Tacoma Rainiers	—	139	108	24	9	1	4	31	44	0	6	3	222	396	435	831	213	333	32	22	375	78	—	—	—	—	—	—
2025	29	INTL	Algodoneros de Guasave	—	25	20	2	0	0	0	5	7	0	0	0	100	280	100	380		154	28	20	212	30	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	19	ROK MLE	GCL Yankees2	—	153	141	33	8	1	1	9	33	0	2	2	234	280	326	606	92	284	22	6	265	65	—	—	—	—	—	—
2016	20	ROK MLE	Pulaski Yankees	—	239	225	37	9	0	7	10	91	3	3	0	164	210	298	508	133	228	38	4	220	35	—	—	—	—	—	—
2017	21	A MLE	Charleston RiverDogs	—	511	464	104	25	4	13	35	155	5	9	5	224	286	379	665	155	293	30	7	286	80	—	—	—	—	—	—
2018	22	A+ MLE	Tampa Tarpons	—	520	485	96	20	1	8	25	214	4	4	5	198	243	293	536	95	322	41	5	240	49	—	—	—	—	—	—
2019	23	AA MLE	Trenton Thunder	—	177	165	24	4	1	7	9	78	2	0	2	145	199	309	508	164	197	44	5	211	29	—	—	—	—	—	—
2019	23	A+ MLE	Tampa Tarpons	—	281	257	45	11	0	6	21	133	3	13	6	175	246	288	533	113	337	47	7	239	48	—	—	—	—	—	—
2021	25	AA MLE	Somerset Patriots	—	383	344	70	21	1	8	31	138	4	26	10	203	277	340	617	137	304	36	8	274	72	—	—	—	—	—	—
2022	26	AAA MLE	Louisville Bats	—	180	164	33	8	3	3	14	73	1	4	0	201	268	341	610	140	329	41	8	267	67	—	—	—	—	—	—
2022	26	AA MLE	Chattanooga Lookouts	—	263	240	54	11	1	9	18	102	4	9	1	225	290	392	682	167	344	39	7	299	88	—	—	—	—	—	—
2023	27	AAA MLE	Tacoma Rainiers	—	101	88	20	4	0	2	10	29	3	3	2	227	327	341	668	114	307	29	10	292	84	—	—	—	—	—	—
2023	27	AA MLE	Arkansas Travelers	—	422	374	89	15	1	20	40	160	5	22	5	238	320	444	764	206	340	38	9	329	109	—	—	—	—	—	—
2024	28	AAA MLE	Tacoma Rainiers	—	139	118	21	8	1	2	21	53	0	6	3	178	302	314	616	136	297	38	15	284	78	—	—	—	—	—	—
2015	19	ROK MLE	GCL Yankees2	—	153	141	33	8	1	1	9	33	0	2	2	234	280	326	606	92	291	22	6	265	65	—	—	—	—	—	—
2015	19	ROK RAW	GCL Yankees2	—	153	135	40	11	1	1	15	23	0	2	2	296	367	415	781	119	342	15	10	345	65	—	—	—	—	—	—
2016	20	ROK MLE	Pulaski Yankees	—	239	225	37	9	0	7	10	91	3	3	0	164	210	298	508	133	234	38	4	220	35	—	—	—	—	—	—
2016	20	ROK RAW	Pulaski Yankees	—	239	218	52	14	0	10	17	64	3	3	0	239	303	440	743	202	290	27	7	327	35	—	—	—	—	—	—
2017	21	A MLE	Charleston RiverDogs	—	511	464	104	25	4	13	35	155	5	9	5	224	286	379	665	155	300	30	7	286	80	—	—	—	—	—	—
2017	21	A RAW	Charleston RiverDogs	—	511	444	122	33	4	15	55	111	5	9	5	275	361	468	830	194	329	22	11	363	80	—	—	—	—	—	—
2018	22	A+ MLE	Tampa Tarpons	—	520	485	96	20	1	8	25	214	4	4	5	198	243	293	536	95	327	41	5	240	49	—	—	—	—	—	—
2018	22	A+ RAW	Tampa Tarpons	—	520	474	123	22	2	13	36	151	4	4	5	259	317	397	714	137	348	29	7	316	49	—	—	—	—	—	—
2019	23	A+ MLE	2 teams	—	458	422	68	15	1	12	30	211	5	13	8	161	225	287	512	126	280	46	7	228	41	—	—	—	—	—	—
2019	23	A+ RAW	2 teams	—	458	410	96	20	1	17	42	154	5	13	8	234	313	412	725	178	329	34	9	323	41	—	—	—	—	—	—
2021	25	AA MLE	2 teams	—	439	394	80	24	1	9	36	158	4	28	13	203	276	338	614	135	307	36	8	274	72	—	—	—	—	—	—
2021	25	AA RAW	2 teams	—	439	371	90	25	1	12	59	129	4	28	13	243	353	412	765	170	333	29	13	341	72	—	—	—	—	—	—
2022	26	AA MLE	3 teams	—	559	511	111	24	5	16	40	220	5	17	4	217	281	378	658	160	342	39	7	286	80	—	—	—	—	—	—
2022	26	AA RAW	3 teams	—	559	487	126	32	5	20	64	166	5	17	4	259	351	468	819	209	349	30	11	361	80	—	—	—	—	—	—
2023	27	AA MLE	2 teams	—	523	462	108	18	1	22	50	189	8	25	7	234	319	420	739	186	339	36	10	322	104	—	—	—	—	—	—
2023	27	AA RAW	2 teams	—	523	435	120	21	1	25	77	161	8	25	7	276	394	501	895	225	377	31	15	394	104	—	—	—	—	—	—
2024	28	AAA MLE	Tacoma Rainiers	—	139	118	21	8	1	2	21	53	0	6	3	178	302	314	616	136	302	38	15	284	78	—	—	—	—	—	—
2024	28	AAA RAW	Tacoma Rainiers	—	139	108	24	9	1	4	31	44	0	6	3	222	396	435	831	213	333	32	22	375	78	—	—	—	—	—	—
2025	29	INTL MLE	Algodoneros de Guasave	—	25	20	2	0	0	0	5	7	0	0	0	100	280	100	380		154	28	20	—	—	—	—	—	—	—	—
2025	29	INTL RAW	Algodoneros de Guasave	—	25	20	2	0	0	0	5	7	0	0	0	100	280	100	380		154	28	20	212	30	—	—	—	—	—	—
2015	19	ROK MLE	GCL Yankees2	—	153	143	33	8	1	1	9	33	0	2	2	231	280	322	602	91	284	22	6	265	65	—	—	—	—	—	—
2016	20	ROK MLE	Pulaski Yankees	—	239	224	37	9	0	7	10	91	3	3	0	165	210	299	509	134	228	38	4	220	35	—	—	—	—	—	—
2017	21	A MLE	Charleston RiverDogs	—	511	466	104	25	4	13	35	155	5	9	5	223	286	378	663	155	293	30	7	286	80	—	—	—	—	—	—
2018	22	A+ MLE	Tampa Tarpons	—	520	486	96	20	1	8	25	214	4	4	5	198	243	292	535	95	322	41	5	240	49	—	—	—	—	—	—
2019	23	A+ MLE	2 teams	—	458	420	68	15	1	12	30	211	5	13	8	162	225	288	513	126	283	46	7	228	41	—	—	—	—	—	—
2021	25	AA MLE	2 teams	—	439	396	80	24	1	9	36	158	4	28	13	202	276	336	612	134	304	36	8	274	72	—	—	—	—	—	—
2022	26	AA MLE	3 teams	—	559	509	111	24	5	16	40	220	5	17	4	218	281	379	660	161	338	39	7	286	80	—	—	—	—	—	—
2023	27	AA MLE	2 teams	—	523	460	108	18	1	22	50	189	8	25	7	235	319	422	741	187	334	36	10	322	104	—	—	—	—	—	—
2024	28	AAA MLE	Tacoma Rainiers	—	139	117	21	8	1	2	21	53	0	6	3	179	302	316	618	137	297	38	15	284	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	28	AAA MLE	Tacoma Rainiers	—	139	117	21	8	1	2	21	53	0	6	3	179	302	316	618	137	297	38	15	284	78	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3566	3242	660	151	15	90	261	1331	34	107	47	204	270	343	613	139	308	37	7	268	68	-137	+3	+0	-21	+77	-8.0
/ 162G	—	MLE		—	650	591	121	28	3	16	48	243	6	20	9	205	271	343	615	139	312	37	7	268	68	-25	+0	+0	-4	+14	-1.5

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.

2024 AAATacoma Rainiers · 139 PAwOBA .367 → .284 (−82)K% 31.7% → 37.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.65%	÷1.004	×1.200	—	—	37.85%
BB% (unintentional) /PA	22.30%	÷1.011	×0.690	—	×0.992	15.10%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	15.62%	÷1.010	×0.930	×1.043	×0.992	14.89%
Doubles /BIP	14.06%	÷1.014	×0.830	×1.043	×0.992	11.91%
Triples /BIP	1.56%	÷0.900	×0.970	×1.043	×0.992	1.74%
Home runs /BIP	6.25%	÷1.142	×0.700	—	×0.992	3.80%

Factors used: league row International League. Park (home-season share, regressed): HR 128, 1B 102, 2B 103, 3B 80, K 101, BB 102 — 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 ×1.043.

Result: wOBA .367 → .284; ISO .213 → .162; BABIP .333 → .297. 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).

2023 AAArkansas Travelers · 422 PAwOBA .393 → .329 (−64)K% 32.2% → 37.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.23%	÷1.041	×1.220	—	—	37.78%
BB% (unintentional) /PA	14.45%	÷1.046	×0.700	—	×0.978	9.46%
HBP% /PA	1.18%	—	×0.870	—	×0.978	1.01%
Singles /BIP	27.31%	÷1.033	×0.920	×1.016	×0.978	24.18%
Doubles /BIP	7.87%	÷0.983	×0.840	×1.016	×0.978	6.68%
Triples /BIP	0.46%	÷1.103	×0.940	×1.016	×0.978	0.39%
Home runs /BIP	10.19%	÷0.853	×0.800	—	×0.978	9.34%

Factors used: league row TL. Park (home-season share, regressed): HR 71, 1B 107, 2B 97, 3B 121, K 108, BB 109 — 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 ×1.016.

Result: wOBA .393 → .329; ISO .241 → .220; BABIP .391 → .340. 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).

2023 AAATacoma Rainiers · 101 PAwOBA .355 → .292 (−63)K% 24.8% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.75%	÷1.024	×1.200	—	—	29.01%
BB% (unintentional) /PA	14.85%	÷1.013	×0.690	—	×1.003	10.15%
HBP% /PA	2.97%	—	×0.940	—	×1.003	2.80%
Singles /BIP	24.14%	÷0.989	×0.930	×1.029	×1.003	23.43%
Doubles /BIP	6.90%	÷0.940	×0.830	×1.029	×1.003	6.28%
Triples /BIP	0.00%	÷0.900	×0.970	×1.029	×1.003	0.00%
Home runs /BIP	5.17%	÷1.157	×0.700	—	×1.003	3.14%

Factors used: league row International League. Park (home-season share, regressed): HR 131, 1B 98, 2B 88, 3B 80, K 105, BB 103 — 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 ×1.029.

Result: wOBA .355 → .292; ISO .157 → .111; BABIP .327 → .307. 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).

2022 AAChattanooga Lookouts · 263 PAwOBA .382 → .299 (−82)K% 31.9% → 38.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.94%	÷1.010	×1.220	—	—	38.58%
BB% (unintentional) /PA	10.65%	÷1.019	×0.680	—	×0.988	7.02%
HBP% /PA	1.52%	—	×0.840	—	×0.988	1.26%
Singles /BIP	26.90%	÷1.002	×0.920	×0.980	×0.988	23.90%
Doubles /BIP	9.66%	÷1.084	×0.910	×0.980	×0.988	7.84%
Triples /BIP	0.69%	÷0.912	×0.880	×0.980	×0.988	0.64%
Home runs /BIP	8.28%	÷0.990	×0.800	—	×0.988	6.60%

Factors used: league row SL. Park (home-season share, regressed): HR 98, 1B 100, 2B 117, 3B 82, K 102, BB 104 — 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 ×0.980.

Result: wOBA .382 → .299; ISO .227 → .177; BABIP .403 → .344. 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).

2022 AAALouisville Bats · 180 PAwOBA .347 → .267 (−81)K% 32.2% → 40.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.22%	÷0.958	×1.200	—	—	40.38%
BB% (unintentional) /PA	11.11%	÷1.023	×0.690	—	×1.018	7.63%
HBP% /PA	0.56%	—	×0.940	—	×1.018	0.53%
Singles /BIP	21.00%	÷0.996	×0.930	×1.003	×1.018	20.02%
Doubles /BIP	10.00%	÷0.955	×0.830	×1.003	×1.018	8.87%
Triples /BIP	3.00%	÷0.900	×0.970	×1.003	×1.018	3.30%
Home runs /BIP	6.00%	÷1.282	×0.700	—	×1.018	3.34%

Factors used: league row International League. Park (home-season share, regressed): HR 156, 1B 99, 2B 91, 3B 80, K 92, BB 105 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .347 → .267; ISO .215 → .149; BABIP .358 → .329. 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 AASomerset Patriots · 383 PAwOBA .328 → .274 (−54)K% 30.3% → 36.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.29%	÷1.024	×1.220	—	—	36.10%
BB% (unintentional) /PA	12.27%	÷1.036	×0.690	—	×0.998	8.15%
HBP% /PA	1.04%	—	×0.850	—	×0.998	0.89%
Singles /BIP	20.28%	÷1.008	×0.940	×1.016	×0.998	19.18%
Doubles /BIP	10.38%	÷0.905	×0.870	×1.016	×0.998	10.12%
Triples /BIP	0.47%	÷0.900	×0.920	×1.016	×0.998	0.49%
Home runs /BIP	5.19%	÷1.053	×0.780	—	×0.998	3.83%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 102, 2B 81, 3B 80, K 105, BB 107 — 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 ×1.016.

Result: wOBA .328 → .274; ISO .174 → .145; BABIP .322 → .304. 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 A+Tampa Tarpons · 281 PAwOBA .340 → .239 (−101)K% 33.1% → 47.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.10%	÷0.989	×1.420	—	—	47.51%
BB% (unintentional) /PA	10.32%	÷1.055	×0.750	—	×0.998	7.32%
HBP% /PA	1.07%	—	×0.930	—	×0.998	0.99%
Singles /BIP	28.21%	÷1.072	×0.920	×0.950	×0.998	22.94%
Doubles /BIP	9.62%	÷0.954	×0.960	×0.950	×0.998	9.18%
Triples /BIP	0.00%	÷0.900	×0.810	×0.950	×0.998	0.00%
Home runs /BIP	5.13%	÷0.960	×0.880	—	×0.998	4.69%

Factors used: league row FSL. Park (home-season share, regressed): HR 92, 1B 114, 2B 91, 3B 80, K 98, BB 111 — 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 ×0.950.

Result: wOBA .340 → .239; ISO .157 → .116; BABIP .399 → .337. 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 AATrenton Thunder · 177 PAwOBA .276 → .211 (−65)K% 34.5% → 44.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.46%	÷0.956	×1.220	—	—	43.98%
BB% (unintentional) /PA	7.34%	÷0.999	×0.700	—	×1.027	5.29%
HBP% /PA	1.13%	—	×0.850	—	×1.027	0.99%
Singles /BIP	14.00%	÷0.984	×0.970	×0.950	×1.027	13.47%
Doubles /BIP	5.00%	÷1.040	×0.860	×0.950	×1.027	4.03%
Triples /BIP	1.00%	÷0.937	×0.950	×0.950	×1.027	0.99%
Home runs /BIP	9.00%	÷0.960	×0.780	—	×1.027	7.51%

Factors used: league row EL. Park (home-season share, regressed): HR 92, 1B 97, 2B 108, 3B 87, K 91, BB 100 — 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 ×0.950.

Result: wOBA .276 → .211; ISO .211 → .156; BABIP .217 → .197. 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 — .