Isaiah Barkett

2B San Jose Giants

Age 23 R/R 5'10" / 191 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#446ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	22	A+/ASF	383	.327/.411/.467	6	19	105	—	.286/.350/.399
2027PROJMLE	23	MLBSF	493	.249/.315/.374	9	11	95	0.6
2028PROJ38% MLB	24	MLBSF	120	.246/.313/.370	2	3	97	0.3
2029PROJ55% MLB	25	MLBSF	205	.246/.314/.372	4	5	98	0.5

Next 3 projected WAR 1.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

Whiff%99

K%98

Z-Con%68

wRC+67

wOBA62

Chase%45

Career WAR0.0 WAR median (P10 -0.4 / P90 0.2, comp-based) · star 0% · didn't stick 94%

CompsIván De Jesús Jr. (age 23) · Osleivis Basabe (age 23) · Jesus Rodriguez (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†95

AVG/OBP/SLG.247 / .313 / .371

PA210

HR4

SB5

K%21

BB%8

ISO125

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$24M ctrl surplus

Tools · ContractCON 77 / POW 41

Toolsscout grade

CONTACT77

scouting grade only

POWER41

scouting grade only

EYE54

scouting grade only

SPEED59

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$0.6M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$2M

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)
2026	22	A+	Eugene Emeralds	—	42	37	11	1	0	1	4	4	1	1	1	297	381	405	786	108	312	10	10	358	86	—	—	—	—	—	—
2026	22	A	San Jose Giants	—	341	293	97	23	2	5	39	28	3	18	7	331	415	474	889	143	350	8	11	391	107	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	22	A+ MLE	Eugene Emeralds	—	42	38	10	1	0	1	3	5	1	1	1	263	333	368	702	105	280	12	7	295	86	—	—	—	—	—	—
2026	22	A MLE	San Jose Giants	—	341	305	88	19	2	4	27	38	3	18	7	289	352	403	756	115	307	11	8	327	107	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	383	344	98	20	2	5	29	44	4	19	8	285	347	398	746	113	312	11	8	323	105	—	—	—	—	—	—
2026	22	A RAW	2 teams	—	383	330	108	24	2	6	43	32	4	19	8	327	411	467	878	139	346	8	11	387	105	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	383	347	98	20	2	5	29	44	4	19	8	282	347	395	742	112	304	11	8	323	105	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	22	A MLE	2 teams	—	383	347	98	20	2	5	29	44	4	19	8	282	347	395	742	112	304	11	8	323	105	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	SF	0%	493	447	110	21	3	9	38	104	5	11	3	249	315	374	689	125	303	21	8	309	95	-3	+1	+0	+2	+11	0.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	SF	38%	317	286	72	14	2	6	25	67	3	7	2	251	317	379	696	128	303	21	8	311	97	-1	+1	+0	+1	+7	0.8
2029	25	MLB MLE	SF	55%	370	334	84	16	2	8	29	78	4	9	3	251	318	382	699	131	303	21	8	312	98	-1	+1	+0	+1	+8	0.9
2030	26	MLB MLE	SF	64%	399	360	90	17	2	9	32	84	4	9	3	250	318	383	700	132	302	21	8	313	98	-1	+1	+0	+1	+9	1.0
2031	27	MLB MLE	SF	66%	412	372	93	18	2	9	33	88	4	9	3	249	317	381	698	132	301	21	8	312	97	-1	+1	+0	+1	+9	1.0
2032	28	MLB MLE	SF	67%	414	374	93	18	2	9	33	89	4	9	3	247	315	378	693	131	300	21	8	310	96	-2	+1	-1	+1	+9	0.9
2033	29	MLB MLE	SF	66%	408	368	89	17	2	8	33	89	4	8	3	245	313	372	684	127	299	22	8	306	94	-3	+0	-1	+1	+9	0.6
2034	30	MLB MLE	SF	65%	398	361	88	17	2	8	31	88	3	8	3	242	309	364	673	122	297	22	8	302	91	-4	+0	-2	+1	+9	0.4
2035	31	MLB MLE	SF	65%	382	346	83	16	2	7	30	86	3	6	4	238	304	354	659	116	295	23	8	296	87	-6	-0	-3	+1	+8	0.0
2028	24	MLB CTX	SF	38%	120	109	27	5	1	2	9	25	1	3	1	246	313	370	683	123	299	21	8	306	97	-0	+0	+0	+0	+3	0.3
2029	25	MLB CTX	SF	55%	205	185	45	9	1	4	16	43	2	5	1	246	314	372	686	126	299	21	8	307	98	-1	+1	+0	+1	+4	0.5
2030	26	MLB CTX	SF	64%	254	230	57	11	2	5	20	54	2	6	2	246	314	373	687	127	298	21	8	308	98	-1	+0	+0	+1	+6	0.6
2031	27	MLB CTX	SF	66%	271	244	60	12	2	5	22	58	3	6	2	245	313	372	685	127	297	21	8	307	97	-1	+0	+0	+1	+6	0.7
2032	28	MLB CTX	SF	67%	276	249	61	12	2	5	22	60	3	6	2	243	311	369	680	126	296	22	8	305	96	-1	+0	-0	+1	+6	0.6
2033	29	MLB CTX	SF	66%	268	243	57	11	1	5	21	59	2	5	2	241	309	363	672	122	295	22	8	301	94	-2	+0	-1	+1	+6	0.4
2034	30	MLB CTX	SF	65%	259	235	56	11	1	5	20	58	2	5	2	238	305	355	661	117	294	22	8	297	91	-3	+0	-1	+1	+6	0.3
2035	31	MLB CTX	SF	65%	247	224	52	10	1	4	19	56	2	4	2	234	301	346	647	112	291	23	8	291	87	-4	+0	-2	+1	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1900	1719	415	81	11	35	149	413	17	40	14	241	308	362	671	121	297	22	8	302	96	-13	+2	-5	+7	+41	3.4
/ 162G	—	A+C		—	650	588	143	28	4	12	51	141	6	14	5	243	310	366	676	122	299	22	8	302	96	-4	+1	-2	+2	+14	1.2
Career	—	MLE		—	3693	3335	837	162	19	73	291	757	35	89	33	251	318	377	694	126	303	20	8	310	96	-22	+4	-7	+12	+72	6.0
/ 162G	—	MLE		—	650	587	148	29	3	13	51	133	6	16	6	252	318	378	697	126	303	20	8	310	96	-4	+1	-1	+2	+14	1.2

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.

2026 ASan Jose Giants · 341 PAwOBA .384 → .327 (−57)K% 8.2% → 11.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.21%	÷1.000	×1.360	—	—	11.17%
BB% (unintentional) /PA	11.44%	÷1.000	×0.690	—	×0.990	7.81%
HBP% /PA	0.88%	—	×0.780	—	×0.990	0.68%
Singles /BIP	25.28%	÷1.000	×0.920	×0.993	×0.990	22.86%
Doubles /BIP	8.68%	÷1.000	×0.830	×0.993	×0.990	7.08%
Triples /BIP	0.75%	÷1.000	×0.910	×0.993	×0.990	0.67%
Home runs /BIP	1.89%	÷1.000	×0.800	—	×0.990	1.49%

Factors used: level-wide A 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 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .384 → .327; ISO .143 → .121; BABIP .350 → .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).

2026 A+Eugene Emeralds · 42 PAwOBA .349 → .295 (−53)K% 9.5% → 12.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.52%	÷1.000	×1.350	—	—	12.86%
BB% (unintentional) /PA	9.52%	÷1.000	×0.710	—	×0.998	6.75%
HBP% /PA	2.38%	—	×0.810	—	×0.998	1.92%
Singles /BIP	27.27%	÷1.000	×0.910	—	×0.998	24.77%
Doubles /BIP	3.03%	÷1.000	×0.830	—	×0.998	2.51%
Triples /BIP	0.00%	÷1.000	×0.820	—	×0.998	0.00%
Home runs /BIP	3.03%	÷1.000	×0.830	—	×0.998	2.51%

Factors used: level-wide A+ 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 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .349 → .295; ISO .108 → .089; BABIP .312 → .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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Kevin Newmanlast yr '25 career totals — 8 seasons, 2,343 PA	3.5	2,343	28	47	259	300	355	+20	+8	5.1	5.5
/162	664	8	13	+5.7	+2.2	1.5	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.2	2,110	43	44	248	311	375	+8	+6	5.5	5.2
/162	664	14	14	+2.4	+1.9	1.7	pk7: 5
#2Ed Spiezio'64-'72 * career totals — 7 seasons, 1,716 PA	2.6	1,716	39	16	238*	304*	389*	+5	+8	4.7	4.9
/162	664	15	6	+1.9	+3.3	1.8	pk7: 5
#3Brent Gates'93-'99 * career totals — 7 seasons, 2,625 PA	4.0	2,625	25	18	253*	313*	350*	+8	+11	4.2	4.2
/162	664	6	5	+2.0	+2.8	1.1	pk7: 4
#4Pat Kelly'91-'99 * career totals — 8 seasons, 2,235 PA	3.4	2,235	36	61	242*	299*	375*	+6	+11	3.7	3.8
/162	664	11	18	+1.7	+3.2	1.1	pk7: 4
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#6Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Isaiah Barkett (OGILVIE)	23	72→77	36→41	54→59	54	247/313/371	124	303	4	5	21%	8%	95	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Iván De Jesús Jr. 2010 · AA	23	60→68	40→45	51→50	52	283/349/376	93	340	7	12	18%	9%	108	+1.9	252/298/338	86	316	6	7	21%	6%	80	-0.1	264/317/362	99	347	5	4	24%	7%	92	+0.5
✕Osleivis Basabe 2024 · MLB	23	57→62	40→45	54→50	45	269/315/377	108	325	5	16	18%	6%	95	+1.0	238/287/350	112	284	10	12	19%	5%	80	-0.2	226/278/337	111	262	12	11	18%	5%	71	-0.5
✕Jesus Rodriguez 2024 · A	22	52→61	43→45	53→50	48	249/311/362	113	301	9	14	20%	7%	91	+0.7	256/314/367	111	304	10	14	18%	7%	94	+0.9	261/323/368	107	303	10	16	17%	7%	95	+0.6
✕Josh Rutledge 2012 · A	23	57→61	45→50	54→50	42	272/322/407	135	347	11	12	24%	6%	106	+1.8	258/302/398	140	317	13	14	22%	5%	97	+1.1	255/301/392	138	311	12	13	22%	5%	95	+0.8
✕Tyler Pastornicky 2013 · MLB	23	54→64	41→45	51→60	47	259/301/362	103	295	8	17	15%	6%	87	+0.4	256/298/340	84	302	6	12	16%	5%	81	-0.1	261/303/330	69	307	4	10	15%	5%	77	-0.2
✕Vaughn Grissom 2024 · MLB	23	60→65	46→50	53→55	49	288/351/425	137	338	12	16	18%	7%	120	+2.8	248/313/367	119	299	12	12	20%	7%	94	+0.9	231/299/346	114	276	13	9	20%	7%	83	+0.1
●Chase Meidroth 2024 · AA	23	52→58	43→40	52→50	53	249/341/361	113	320	11	12	24%	10%	103	+1.6	259/348/358	99	312	9	12	18%	11%	105	+1.7	263/352/365	101	313	10	11	17%	11%	107	+1.8
✕Ronny Cedeno 2006 · MLB	23	59→60	46→45	51→50	47	290/332/416	126	324	13	16	15%	5%	112	+2.2	263/298/377	114	311	11	11	18%	4%	89	+0.5	253/297/377	125	295	14	9	19%	5%	89	+0.3
●Otto Lopez 2023 · AAA	24	58→64	40→50	55	46	272/327/373	101	339	5	18	20%	6%	99	+1.3	260/308/366	106	311	8	19	18%	6%	91	+0.7	283/332/413	131	317	12	23	14%	6%	111	+2.1
✕Juan Lagares 2012 · AA	23	57→66	42→45	54→50	38	275/299/388	113	339	8	15	21%	3%	92	+0.7	265/300/372	107	333	6	14	21%	4%	88	+0.5	268/306/375	107	324	7	13	19%	4%	93	+0.5
●Matt Duffy 2014 · A	23	51→61	45	53→50	50	251/311/373	122	290	12	16	18%	8%	94	+0.9	281/327/393	112	334	9	15	18%	6%	104	+1.6	289/335/400	111	340	8	14	17%	6%	109	+1.6
✕Darell Hernaiz 2024 · AAA	22	54→61	42→45	53→50	45	261/309/370	109	313	9	16	20%	6%	92	+0.7	255/314/351	96	300	7	12	17%	7%	90	+0.6	251/319/333	81	294	5	12	15%	8%	86	+0.2
✕Eric Fryer 2009 · A	23	53→61	44→45	51→50	44	254/305/376	122	322	10	10	24%	6%	93	+0.8	237/302/348	111	306	9	10	24%	7%	85	+0.2	231/304/340	108	298	9	10	24%	8%	81	-0.0
✕Tyson Gillies 2012 · AA	23	55→65	42→45	53→55	45	263/321/369	106	327	8	19	22%	6%	97	+1.1	240/289/348	108	317	7	14	26%	5%	80	-0.2	238/284/344	107	316	7	15	26%	4%	73	-0.3
●Kevin Newman 2017 · AA	23	58→63	39→45	49→50	51	275/329/364	89	303	5	11	11%	7%	98	+1.2	264/303/356	92	300	6	15	13%	5%	86	+0.3	275/318/374	99	308	8	18	13%	5%	95	+0.7
✕Ke'Bryan Hayes 2020 · AAA	23	51→57	43→50	53→50	47	245/305/369	123	304	9	13	22%	7%	91	+0.6	254/314/393	139	316	13	14	22%	8%	100	+1.3	255/311/393	138	311	13	16	21%	7%	99	+1.0
✕Mauricio Dubón 2017 · AA	23	57→61	39→50	56→55	45	269/310/362	94	318	5	20	17%	5%	90	+0.6	253/290/362	109	299	10	22	18%	5%	83	+0.1	259/304/392	134	294	16	11	18%	5%	94	+0.6
✕Garin Cecchini 2014 · AA	23	59→65	41→45	56→55	52	277/349/390	113	352	6	21	22%	9%	112	+2.2	237/296/331	94	310	7	13	24%	7%	79	-0.2	221/273/302	81	286	7	12	24%	6%	61	-1.2
●Devon Travis 2014 · A	23	58→62	46→50	53→50	48	286/339/422	136	324	13	13	16%	6%	116	+2.5	278/326/420	142	324	13	12	18%	6%	110	+2.1	285/329/434	149	334	14	10	18%	6%	114	+1.5
●Sal Frelick 2023 · AAA	23	59→63	43→45	55	49	283/338/405	122	325	9	19	16%	7%	111	+2.1	265/330/368	103	306	7	19	15%	8%	99	+1.3	265/334/362	96	304	7	20	14%	8%	100	+1.1

Isaiah Barkett

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps