Isaiah Barkett — OGILVIE

Isaiah Barkett2B San Jose Giants

Age 22 R/R 5'10" / 191 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION383 act + 9 ros · stats below = ROS only

showingROS

wRC+†106

AVG/OBP/SLG.250 / .333 / .250

PA9

HR0

K%22

BB%11

BABIP299

ISO136

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$81M ctrl surplus

Tools · ContractCON 77 / POW 42

Toolsscout grade

CONTACT77

scouting grade only

POWER42

scouting grade only

EYE55

scouting grade only

SPEED59

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+1.7	$9M	+$9M
2032	Pre-Arb	$0.9M	+1.7	$9M	+$8M
2033	Pre-Arb	$1.0M	+1.5	$7M	+$7M
2034	Arb-1	$4M	+1.3	$6M	+$4M
2035	Arb-2	$6M	+1.1	$4M	+$2M
2036	Arb-3	$7M	+0.7	$1M	+$0.0M (cut)
Totals		$14M		$36M	+$29M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	22	A MLE	SF	—	383	343	98	20	2	6	30	43	4	19	8	286	350	408	758	122	310	11	8	326	106	+3	+1	+0	+1	+8	1.3
▸ 2026 season
YTD	22	A RAW	SF	—	341	293	97	23	2	5	39	28	3	18	7	331	415	474	889	143	350	8	11	391	106	—	—	—	—	—	—
YTD	22	A+ RAW	SF	—	42	37	11	1	0	1	4	4	1	1	1	297	381	405	786	108	312	10	10	358	106	—	—	—	—	—	—
ROS	22	A MLE	SF	0%	9	8	2	0	0	0	1	2	0	0	0	250	333	250	583		305	22	11	325	106	+0	+0	+0	+0	+0	0.0
TOT	22	A MLE	SF	—	392	351	100	20	2	6	31	45	4	19	8	285	350	405	754	120	310	11	8	326	106	+3	+1	+0	+1	+8	1.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	SF	48%	454	410	107	21	2	9	37	77	4	11	4	261	328	388	716	127	303	17	8	324	105	+3	+1	+0	+2	+10	1.5
2028	24	MLB MLE	SF	65%	490	442	118	23	3	11	40	84	5	12	4	267	335	407	742	140	303	17	8	326	107	+4	+1	+0	+2	+11	1.8
2029	25	MLB MLE	SF	73%	529	475	127	25	3	12	44	91	5	13	5	267	336	408	744	141	302	17	8	327	108	+5	+1	+0	+2	+11	1.9
2030	26	MLB MLE	SF	76%	571	514	135	26	3	13	47	99	5	14	5	263	330	401	731	138	302	17	8	328	108	+5	+1	+0	+2	+12	2.1
2031	27	MLB MLE	SF	76%	617	554	145	28	3	14	52	108	6	15	5	262	332	399	731	137	302	18	8	328	108	+6	+1	+0	+2	+13	2.3
2032	28	MLB MLE	SF	76%	623	559	147	29	3	14	53	110	6	15	5	263	333	401	734	138	301	18	9	327	107	+6	+1	-1	+2	+13	2.2
2033	29	MLB MLE	SF	74%	616	552	145	28	3	14	53	110	6	14	5	263	334	400	734	138	301	18	9	325	106	+5	+1	-1	+2	+13	2.0
2034	30	MLB MLE	SF	73%	606	543	141	27	3	13	52	109	6	13	5	260	331	392	723	133	300	18	9	323	104	+3	+1	-2	+2	+13	1.7
2035	31	MLB MLE	SF	73%	593	532	136	26	3	12	51	109	5	13	4	256	327	383	710	128	298	18	9	319	102	+1	+1	-3	+2	+13	1.5
2036	32	MLB MLE	SF	72%	575	516	130	25	2	11	49	108	5	12	4	252	323	372	695	120	295	19	9	313	98	-1	+1	-4	+2	+12	1.1
2037	33	MLB MLE	SF	72%	546	490	120	22	2	10	46	105	5	10	4	245	316	359	675	114	292	19	8	306	93	-4	+0	-4	+2	+12	0.6
2038	34	MLB MLE	SF	68%	498	449	108	19	2	9	42	99	4	9	3	241	311	352	663	111	286	20	8	297	87	-8	+1	-5	+2	+11	0.1
2027	23	MLB CTX	SF	48%	219	197	51	10	1	4	18	37	2	5	2	259	327	381	708	122	297	17	8	310	105	+1	+0	+0	+1	+5	0.7
2028	24	MLB CTX	SF	65%	318	286	74	14	2	6	26	55	3	8	3	259	327	385	712	126	297	17	8	312	107	+3	+0	+0	+1	+7	1.1
2029	25	MLB CTX	SF	73%	384	345	89	17	2	8	32	66	4	9	3	258	328	388	716	130	296	17	8	313	108	+4	+1	+0	+1	+8	1.4
2030	26	MLB CTX	SF	76%	435	392	101	20	2	9	36	76	4	11	4	258	326	388	714	130	296	17	8	314	108	+4	+1	+0	+2	+9	1.6
2031	27	MLB CTX	SF	76%	469	423	108	21	2	10	39	82	4	11	4	255	324	385	709	130	296	17	8	314	108	+5	+1	+0	+2	+10	1.7
2032	28	MLB CTX	SF	76%	474	426	109	21	2	10	40	84	5	11	4	256	327	385	712	129	296	18	8	313	107	+4	+1	-1	+2	+10	1.7
2033	29	MLB CTX	SF	74%	458	412	104	20	2	9	39	82	4	10	4	252	323	376	699	124	295	18	9	311	106	+3	+0	-1	+2	+10	1.5
2034	30	MLB CTX	SF	73%	444	399	101	19	2	9	38	80	4	10	3	253	324	378	703	125	294	18	9	309	104	+2	+1	-2	+2	+10	1.3
2035	31	MLB CTX	SF	73%	431	387	96	18	2	8	37	79	4	9	3	248	320	367	687	119	292	18	9	305	102	+1	+1	-2	+2	+9	1.1
2036	32	MLB CTX	SF	72%	416	374	92	17	2	8	35	78	4	8	3	246	317	366	684	120	290	19	8	300	98	-1	+0	-3	+1	+9	0.7
2037	33	MLB CTX	SF	72%	394	355	86	16	2	7	33	76	3	8	3	242	312	358	670	115	286	19	8	293	93	-3	+0	-3	+1	+9	0.4
2038	34	MLB CTX	SF	68%	337	303	70	12	1	5	28	67	3	6	2	231	302	327	629	96	281	20	8	285	87	-5	+0	-3	+1	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4779	4299	1081	205	22	93	401	862	44	106	38	251	322	374	696	123	293	18	8	307	103	+18	+6	-14	+17	+104	13.3
/ 162G	—	A+C		—	650	585	148	28	3	13	55	117	6	14	5	253	324	378	702	125	295	18	8	307	103	+2	+1	-2	+2	+14	1.8
Career	—	MLE		—	6727	6044	1561	299	32	142	567	1211	62	151	53	258	328	389	717	131	300	18	8	321	103	+25	+9	-20	+24	+146	18.7
/ 162G	—	MLE		—	650	584	151	29	3	14	55	117	6	15	5	259	329	390	719	132	300	18	8	321	103	+2	+1	-2	+2	+14	1.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ian Desmondlast yr '19 career totals — 11 seasons, 5,944 PA	9.0	5,944	181	181	263	315	427	+30	-4	25.8	25.0
/162	664	20	20	+3.3	-0.4	2.9	pk7: 24
#2Jason Kipnislast yr '20 career totals — 10 seasons, 4,984 PA	7.5	4,984	126	136	260	333	416	+18	-11	22.6	21.9
/162	664	17	18	+2.4	-1.4	3.0	pk7: 21
#3Kelly Johnsonlast yr '16 career totals — 11 seasons, 5,139 PA	7.7	5,139	155	87	251	330	422	+8	-3	22.3	21.3
/162	664	20	11	+1.0	-0.4	2.9	pk7: 20
#4Austin Jacksonlast yr '18 career totals — 9 seasons, 4,653 PA	7.0	4,653	65	114	273	333	396	+17	+13	19.5	19.5
/162	664	9	16	+2.4	+1.9	2.8	pk7: 19
#5Felipe Lopezlast yr '11 career totals — 11 seasons, 4,864 PA	7.3	4,864	90	124	264	333	391	+31	-19	17.7	18.1
/162	664	12	17	+4.2	-2.6	2.4	pk7: 19
#6César Hernándezlast yr '22 career totals — 10 seasons, 4,797 PA	7.2	4,797	71	91	267	341	375	+17	+1	17.8	18.1
/162	664	10	13	+2.4	+0.2	2.5	pk7: 18
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.7	5,097	109	113	259	325	391	+18	+9	17.8	15.1
/162	664	14	15	+2.4	+1.2	2.3	pk7: 12

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)	22	72→77	37→42	54→59	55	264/330/393	129	305	6	11	17%	8%	106	+0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Vaughn Grissom 2022 · A	21	53→62	42→45	54→55	49	253/325/364	110	312	9	12	21%	8%	97	+1.1	271/334/394	123	324	11	17	19%	7%	107	+1.9	270/336/389	118	323	11	18	19%	7%	104	+1.3
✕Devon Travis 2014 · A	23	58→62	46→50	53→50	48	285/338/420	135	322	13	13	16%	6%	115	+2.4	274/321/414	140	319	13	12	18%	6%	107	+1.8	280/323/427	147	327	14	10	18%	6%	109	+1.3
●Matt Duffy 2014 · A	23	51→61	44→45	53→50	50	251/310/372	122	289	12	16	18%	8%	93	+0.8	277/324/389	112	329	9	15	18%	6%	102	+1.5	283/337/387	104	329	9	12	16%	7%	104	+1.4
✕Osleivis Basabe 2023 · AA	22	57→62	40→45	56→50	46	270/315/373	103	320	5	17	17%	6%	95	+0.9	244/289/348	104	297	7	13	20%	5%	80	-0.2	230/276/336	106	279	9	11	21%	5%	70	-0.6
✕Josh Rutledge 2012 · A	23	56→60	45→50	54→50	42	270/319/404	134	344	11	12	24%	5%	104	+1.6	255/300/393	138	313	12	14	22%	5%	95	+0.9	252/299/388	136	308	12	13	22%	5%	91	+0.6
●Jon Jay 2007 · A	22	56→64	40→45	50	49	269/321/370	100	311	7	11	16%	6%	97	+1.1	256/306/364	108	301	9	13	18%	5%	90	+0.6	292/352/409	117	338	9	15	15%	6%	114	+2.0
✕Eric Fryer 2009 · A	23	53→62	44→45	51→50	44	256/308/380	123	325	10	10	24%	6%	95	+0.9	239/305/351	112	309	9	10	24%	7%	86	+0.3	233/307/341	108	301	9	10	24%	8%	82	+0.0
✕Iván De Jesús Jr. 2010 · AA	23	58→65	39→40	51→50	52	275/339/363	88	330	6	12	18%	8%	101	+1.4	243/287/325	82	304	6	7	21%	5%	74	-0.6	263/320/354	91	340	5	4	23%	6%	89	+0.3
●Adam Eaton 2011 · A	22	55→65	44→50	51→55	45	263/341/384	121	337	10	15	24%	7%	109	+2.0	279/356/393	114	336	8	23	18%	8%	116	+2.5	285/358/414	128	339	9	15	17%	8%	117	+2.8
●Angel Salome 2008 · A	22	53→63	45→50	47→45	44	263/296/393	130	302	12	5	18%	4%	93	+0.8	273/313/405	132	329	12	3	20%	5%	102	+1.5	280/324/416	135	339	12	1	20%	5%	107	+1.0
✕Chin-Lung Hu 2006 · A	22	57→61	42→45	51→50	44	276/307/384	108	301	8	16	12%	3%	95	+0.9	258/295/362	104	290	8	11	14%	5%	85	+0.2	267/297/374	108	298	8	11	13%	4%	84	+0.1
✕Tim Saunders 2013 · A	23	56	43→45	54→60	40	263/309/375	111	360	10	19	29%	6%	93	+0.8	208/265/301	93	326	7	22	36%	6%	61	-1.5	171/234/253	82	280	6	31	38%	6%	36	-1.1
●Otto Lopez 2021 · A	22	53→63	39→50	47→55	43	251/289/336	85	305	5	12	20%	5%	76	-0.4	258/307/349	91	325	4	17	21%	6%	86	+0.3	283/332/413	130	317	12	23	14%	6%	108	+1.8
●Yainer Diaz 2021 · A	22	52→60	45→60	50→40	43	255/292/378	123	296	12	5	18%	4%	88	+0.4	263/298/432	169	306	21	3	21%	4%	103	+1.6	280/313/466	185	314	24	1	19%	4%	114	+1.9
●Aaron Cunningham 2008 · AA	22	51→59	47→50	51→50	44	252/307/398	146	306	14	16	22%	6%	99	+1.2	253/309/395	142	326	13	13	25%	6%	99	+1.2	251/309/391	140	328	13	10	26%	6%	94	+0.7
✕Jose Aguilar 2013 · AAA	23	57→61	40→45	52→55	47	270/325/369	99	317	6	16	17%	6%	98	+1.2	277/331/381	104	319	7	16	15%	6%	103	+1.5	284/341/387	103	323	7	16	13%	6%	104	+1.0
●Austin Jackson 2009 · AA	22	51→61	42→50	52→55	43	242/292/352	110	321	8	17	26%	6%	82	-0.0	262/312/367	105	355	6	20	26%	6%	93	+0.8	273/344/423	150	348	13	13	23%	9%	115	+2.5
✕Brent Morel 2009 · A	22	51→57	43→50	54→50	45	251/298/360	109	298	11	12	20%	6%	86	+0.3	251/287/380	129	292	13	12	18%	5%	86	+0.3	253/289/383	129	290	13	11	17%	4%	85	+0.2
●Desmond Jennings 2009 · A	22	51→59	43→50	56→60	48	246/309/361	115	293	10	25	19%	7%	91	+0.6	256/321/380	124	304	9	34	18%	8%	99	+1.3	243/323/397	154	290	15	28	21%	9%	102	+1.5
●Starlin Castro 2012 · MLB	22	61→63	42→50	51→50	47	294/332/410	116	332	7	16	14%	5%	109	+2.0	275/316/404	129	316	11	14	16%	5%	102	+1.5	283/325/431	148	327	17	3	18%	5%	110	+2.0

Career Stats + Projections

Career Comps

Career Path Comps