Josh Tate — OGILVIE

Josh TateCF Greensboro Grasshoppers

Age 22 R/R 5'10" / 178 lbs A+ HR -15%K -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION447 act + 9 ros · stats below = ROS only

showingROS

wRC+†69

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP312

ISO94

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · ContractCON 34 / POW 39

Toolsscout grade

CONTACT34

scouting grade only

POWER39

scouting grade only

EYE49

scouting grade only

SPEED62

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-1	$1M	—	—	—
2034	Arb-2	$1M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.0M

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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2025	21	A	Bradenton Marauders	—	70	63	15	2	2	0	4	13	1	2	1	238	294	333	627	95	288	19	6	275	73	-2	+0	—	—	+2	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Bradenton Marauders	—	70	64	13	2	2	0	3	18	1	2	1	203	250	297	547	94	249	26	4	223	37	-5	+0	—	—	+2	-0.4
2025	21	A MLE	Bradenton Marauders	—	70	64	13	2	2	0	3	18	1	2	1	203	250	297	547	94	271	26	4	223	37	—	—	—	—	—	—
2025	21	A RAW	Bradenton Marauders	—	70	63	15	2	2	0	4	13	1	2	1	238	294	333	627	95	288	19	6	275	37	—	—	—	—	—	—
2025	21	A MLE	Bradenton Marauders	—	70	66	13	2	2	0	3	18	1	2	1	197	250	288	538	91	249	26	4	223	37	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	Bradenton Marauders	—	70	66	13	2	2	0	3	18	1	2	1	197	250	288	538	91	249	26	4	223	37	—	—	—	—	—	—
YTD	22	A+ MLE	PIT	—	447	405	96	15	4	5	30	150	4	29	13	237	296	331	627	94	358	34	7	273	71	-15	+1	+0	+2	+10	-0.4
▸ 2026 season
YTD	22	A RAW	PIT	—	214	187	53	4	2	2	21	51	2	16	5	283	362	358	720	75	378	24	10	324	71	—	—	—	—	—	—
YTD	22	A+ RAW	PIT	—	233	205	58	14	3	4	22	58	2	13	8	283	358	439	797	156	370	25	9	350	71	—	—	—	—	—	—
ROS	22	A+ MLE	PIT	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		314	33	11	270	69	-0	+0	+0	+0	+0	-0.0
TOT	22	A+ MLE	PIT	—	456	413	97	15	4	5	31	153	4	29	13	235	295	327	622	92	355	34	7	273	71	-16	+1	+0	+2	+10	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	PIT	35%	336	307	70	12	3	5	23	97	3	10	4	228	288	336	624	107	312	29	7	280	76	-10	+0	+0	+1	+7	-0.1
2028	24	MLB MLE	PIT	46%	410	374	86	15	3	7	29	116	4	13	5	230	292	342	635	112	312	28	7	287	81	-9	+1	+0	+1	+9	0.2
2029	25	MLB MLE	PIT	52%	440	401	92	16	3	8	32	123	4	13	6	229	293	344	637	115	311	28	7	291	83	-9	+0	+0	+2	+10	0.3
2030	26	MLB MLE	PIT	54%	458	417	97	17	3	9	34	127	4	14	6	233	297	353	649	120	310	28	7	293	84	-9	+0	+0	+2	+10	0.3
2031	27	MLB MLE	PIT	54%	461	420	97	17	3	9	34	128	4	14	6	231	295	350	645	119	310	28	7	293	84	-9	+0	+0	+2	+10	0.4
2032	28	MLB MLE	PIT	54%	459	417	96	17	3	9	35	128	4	13	6	230	296	350	646	120	309	28	8	292	84	-9	+0	-1	+2	+10	0.2
2033	29	MLB MLE	PIT	53%	449	408	94	16	3	9	34	126	4	12	5	230	296	350	646	120	309	28	8	290	82	-9	+0	-1	+2	+10	0.1
2034	30	MLB MLE	PIT	52%	439	399	91	16	3	8	33	125	4	11	4	228	294	343	637	115	307	28	8	287	80	-10	+1	-2	+2	+10	-0.1
2027	23	MLB CTX	PIT	35%	116	106	24	4	1	2	8	34	1	4	1	226	287	340	627	113	310	29	7	270	76	-3	+0	+0	+0	+3	0.0
2028	24	MLB CTX	PIT	46%	190	172	39	7	1	3	14	54	2	6	2	227	293	331	624	105	309	28	7	277	81	-4	+0	+0	+1	+4	0.1
2029	25	MLB CTX	PIT	52%	227	206	47	8	2	4	17	63	2	7	3	228	293	345	638	117	309	28	7	280	83	-5	+0	+0	+1	+5	0.1
2030	26	MLB CTX	PIT	54%	248	226	52	9	2	5	18	69	2	8	3	230	293	354	647	124	308	28	7	282	84	-5	+0	+0	+1	+5	0.2
2031	27	MLB CTX	PIT	54%	250	227	53	9	2	5	19	70	2	8	3	233	298	357	655	123	308	28	8	282	84	-5	+0	+0	+1	+5	0.2
2032	28	MLB CTX	PIT	54%	249	226	52	9	2	5	19	70	2	7	3	230	296	354	650	124	307	28	8	281	84	-5	+0	-0	+1	+5	0.1
2033	29	MLB CTX	PIT	53%	238	216	50	9	2	4	18	67	2	6	3	231	297	347	644	116	306	28	8	279	82	-5	+0	-1	+1	+5	0.0
2034	30	MLB CTX	PIT	52%	230	208	47	8	2	4	18	65	2	6	2	226	294	341	635	115	305	28	8	276	80	-5	+0	-1	+1	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1748	1587	364	63	14	32	131	492	15	52	20	229	294	347	641	118	310	28	7	279	81	-37	+2	-2	+6	+38	0.8
/ 162G	—	A+C		—	650	590	135	23	5	12	49	183	6	19	7	229	295	346	641	117	309	28	8	279	81	-14	+1	-1	+2	+14	0.3
Career	—	MLE		—	3531	3215	737	128	26	64	258	991	32	102	43	229	293	345	638	116	309	28	7	288	81	-74	+3	-4	+12	+75	1.3
/ 162G	—	MLE		—	650	592	137	24	5	12	47	182	6	19	8	231	294	350	644	118	312	28	7	288	81	-14	+1	-1	+2	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#3Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#4Dustin 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
#5Hernán Pérezlast yr '19 career totals — 6 seasons, 1,811 PA	2.7	1,811	45	69	252	281	387	-0	+12	3.7	3.7
/162	664	16	25	-0.0	+4.5	1.3	pk7: 4
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.6	1,750	33	51	232	294	351	-10	+0	0.3	0.3
/162	664	13	19	-4.0	+0.0	0.1	pk7: 0

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
Josh Tate (OGILVIE)	22	29→34	34→39	57→62	49	221/280/313	93	314	2	7	30%	7%	69	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Manuel Hilario 2014 · A	22	44	40→45	57→55	47	209/283/310	101	272	6	18	24%	8%	70	-0.8	206/261/285	79	284	5	10	28%	6%	55	-1.9	167/216/208	41	224	4	10	26%	4%	19	-0.8
✕Melvin Santana 2014 · A	22	42	37→45	51→50	45	200/253/283	83	254	3	11	22%	6%	51	-2.2	203/251/281	78	279	3	11	27%	6%	50	-2.3	195/231/264	69	262	0	19	24%	4%	37	-0.6
✕Lane Adams 2012 · A	22	43→46	40→45	54→60	39	205/258/297	92	300	6	12	33%	6%	57	-1.8	220/269/328	108	296	10	19	28%	6%	68	-1.0	227/280/350	123	310	14	36	30%	6%	74	-0.4
✕Stuart Fairchild 2018 · A	22	47→42	38→50	51→55	43	226/289/307	81	288	6	11	23%	6%	71	-0.8	211/276/320	109	294	9	11	29%	6%	69	-0.9	218/314/364	146	281	15	27	26%	9%	91	+0.4
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	299	7	14	36%	7%	53	-2.1	205/306/320	115	292	11	13	31%	10%	82	-0.0	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Franklin Rollin 2018 · A	22	46	40→45	54→55	40	224/262/318	94	276	6	18	21%	4%	62	-1.4	201/248/285	84	259	7	15	24%	5%	50	-2.3	185/237/257	72	234	6	17	23%	5%	37	-1.4
✕David Kandilas 2013 · A	22	45→44	41→45	55	44	217/272/324	108	278	7	15	24%	6%	68	-1.0	211/273/304	93	280	7	17	26%	7%	64	-1.3	204/269/291	87	271	7	20	26%	7%	57	-1.2
✕Kristopher Negrón 2008 · A	22	42→50	37→45	55	43	202/266/271	69	272	4	18	26%	6%	54	-2.0	225/286/321	96	289	7	20	23%	6%	73	-0.6	226/289/352	126	323	14	14	32%	7%	78	-0.2
✕Adonis Pacheco 2013 · A	22	45	39→50	57→55	45	213/271/312	99	277	4	16	24%	7%	65	-1.2	204/258/296	92	260	5	11	22%	6%	56	-1.9	160/206/240	80	191	3	9	17%	6%	22	-1.2
✕Charcer Burks 2017 · A	22	40→46	39→40	52→50	43	196/262/287	92	272	6	17	29%	7%	57	-1.8	205/277/295	90	285	7	14	28%	8%	64	-1.3	201/275/282	81	279	6	14	28%	8%	59	-1.4
✕Luke Williams 2019 · A	22	40→44	38→45	50→65	41	197/248/266	70	256	6	15	25%	5%	46	-2.6	206/264/300	94	275	7	19	26%	7%	60	-1.6	222/284/339	116	307	11	42	29%	7%	74	-0.3
✕Kyle Nevin 2023 · A	21	41→38	40	52→50	39	198/250/294	96	274	6	10	29%	5%	53	-2.1	216/274/318	102	332	9	10	35%	7%	68	-1.0	210/271/306	96	328	9	12	36%	7%	61	-0.9
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/268/264	67	279	4	12	29%	8%	53	-2.1	210/306/281	71	297	4	26	28%	9%	73	-0.6	226/338/275	49	304	3	35	23%	10%	81	-0.0
✕Estarlin Martinez 2014 · A	22	44	40	52→50	43	213/265/304	91	274	7	14	25%	6%	61	-1.5	229/277/295	66	302	3	12	24%	6%	62	-1.4	239/285/288	49	314	1	11	23%	5%	61	-0.8
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Luis Castro 2018 · A	22	45→42	41→50	49→45	41	216/264/321	105	268	7	11	22%	4%	65	-1.2	228/308/368	140	306	15	9	29%	7%	93	+0.8	203/292/345	142	285	17	8	33%	8%	81	-0.0
✕Troy Stokes Jr. 2017 · A	21	44→38	39→50	55	45	208/278/297	89	275	6	19	25%	7%	65	-1.2	201/273/331	130	270	13	18	29%	7%	71	-0.8	188/266/323	135	254	14	19	30%	8%	65	-1.0
✕Zack Larson 2015 · A	21	46→36	39→45	52→50	40	220/273/303	83	294	6	11	27%	5%	64	-1.3	194/250/257	63	268	2	10	27%	6%	45	-2.7	169/228/214	45	235	0	12	26%	6%	26	-3.1
✕Erlin Cerda 2016 · A	22	45	35→40	53→55	47	208/277/280	72	264	1	14	20%	7%	60	-1.6	198/248/268	70	295	2	9	32%	5%	46	-2.6	164/198/208	44	258	0	8	35%	4%	9	-1.2
✕Hoy Park 2018 · A	22	43→49	39→45	58→55	46	205/275/296	91	274	6	17	26%	8%	63	-1.3	223/300/306	83	296	5	16	24%	9%	75	-0.5	228/317/324	96	297	8	17	24%	11%	83	+0.0

Career Stats + Projections

Career Comps

Career Path Comps