John Taylor — OGILVIE

John Taylor3B Round Rock Express

Age 25 L/R 5'11" / 200 lbs AAA HR +15%BB +5% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION531 act + 9 ros · stats below = ROS only

showingROS

wRC+†88

AVG/OBP/SLG—

PA1

HR0

K%22

BB%11

BABIP303

ISO97

MLB%10%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

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

Tools · ContractCON 45 / POW 30

Toolsscout grade

CONTACT45

scouting grade only

POWER30

scouting grade only

EYE40

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2031	Arb-1	$1M	+0.1	$0.3M	+$0.0M (cut)
2032	Arb-2	$1M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$4M	+$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. 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	24	A+	Hub City Spartanburgers	—	223	199	51	11	1	2	20	46	4	7	3	256	336	352	688	95	325	21	9	315	99	-0	+0	—	—	+5	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	24	A+ MLE	Hub City Spartanburgers	—	223	206	44	10	1	1	13	60	4	7	3	214	274	286	560	73	294	27	6	248	54	-12	+0	—	—	+5	-0.7
2025	24	A+ MLE	Hub City Spartanburgers	—	223	206	44	10	1	1	13	60	4	7	3	214	274	286	560	73	297	27	6	248	54	—	—	—	—	—	—
2025	24	A+ RAW	Hub City Spartanburgers	—	223	199	51	11	1	2	20	46	4	7	3	256	336	352	688	95	325	21	9	315	54	—	—	—	—	—	—
2025	24	A+ MLE	Hub City Spartanburgers	—	223	204	44	10	1	1	13	60	4	7	3	216	274	289	563	74	294	27	6	248	54	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	24	A+ MLE	Hub City Spartanburgers	—	223	204	44	10	1	1	13	60	4	7	3	216	274	289	563	74	294	27	6	248	54	—	—	—	—	—	—
YTD	25	AAA MLE	TEX	—	531	451	105	17	3	10	60	145	13	19	6	233	340	350	690	118	316	27	11	311	97	-2	+1	+0	+2	+12	1.3
▸ 2026 season
YTD	25	AA RAW	TEX	—	183	143	46	8	1	6	32	41	5	3	1	322	461	517	979	196	404	22	17	429	97	—	—	—	—	—	—
YTD	25	AAA RAW	TEX	—	348	282	69	12	3	7	54	74	8	16	5	245	381	383	764	138	305	21	16	347	97	—	—	—	—	—	—
ROS	25	AAA MLE	TEX	10%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		301	22	11	298	88	-0	+0	+0	+0	+0	0.0
▸ 2026 season — projected rest
ROS	25	MLB CTX	TEX	10%	1	1	0	0	0	0	0	0	0	0	0						303	0	0	285	88	-0	+0	+0	+0	+0	0.0
FULL	25	MLB A+C	TEX	—	1	1	0	0	0	0	0	0	0	0	0							0	0	285	97	-0	+0	+0	+0	+0	0.0
TOT	25	AAA MLE	TEX	—	540	459	106	17	3	10	61	147	13	19	6	231	338	346	684	115	313	27	11	311	97	-2	+1	+0	+2	+12	1.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	TEX	35%	552	480	108	19	3	10	56	147	11	14	4	225	320	340	660	115	301	27	10	301	90	-7	+1	+0	+2	+12	0.8
2028	27	MLB MLE	TEX	44%	567	494	111	20	3	10	57	149	11	13	4	225	319	338	657	113	300	26	10	302	91	-6	+1	+0	+2	+12	0.9
2029	28	MLB MLE	TEX	49%	572	498	113	20	3	11	58	150	11	12	4	227	321	345	666	118	299	26	10	302	91	-6	+1	-1	+2	+12	0.8
2030	29	MLB MLE	TEX	50%	571	497	112	20	3	11	58	151	11	11	4	225	320	344	664	119	297	26	10	301	90	-7	+1	-1	+2	+12	0.7
2031	30	MLB MLE	TEX	51%	380	332	74	13	2	7	38	101	7	7	2	223	316	337	653	114	296	27	10	298	88	-6	+1	-2	+1	+8	0.3
2032	31	MLB MLE	TEX	51%	368	321	71	13	2	6	37	99	7	6	2	221	315	330	645	109	293	27	10	294	85	-7	+0	-3	+1	+8	0.0
2027	26	MLB CTX	TEX	35%	192	167	39	7	1	4	19	51	4	5	2	234	326	359	686	126	303	27	10	290	90	-2	+0	+0	+1	+4	0.3
2028	27	MLB CTX	TEX	44%	250	218	50	9	1	5	25	66	5	6	2	229	323	349	671	119	302	26	10	292	91	-3	+0	+0	+1	+5	0.4
2029	28	MLB CTX	TEX	49%	280	245	56	10	1	6	28	74	5	6	2	229	320	351	671	122	301	26	10	292	91	-3	+0	-0	+1	+6	0.4
2030	29	MLB CTX	TEX	50%	285	249	56	10	1	6	29	75	5	5	2	225	318	345	663	120	300	26	10	291	90	-3	+0	-1	+1	+6	0.3
2031	30	MLB CTX	TEX	51%	192	167	38	7	1	4	19	51	4	3	1	228	321	353	674	126	298	27	10	288	88	-3	+0	-1	+1	+4	0.1
2032	31	MLB CTX	TEX	51%	188	164	36	6	1	3	19	51	3	3	1	220	312	323	635	104	295	27	10	284	85	-3	+0	-1	+1	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1388	1211	275	49	6	28	139	368	26	28	10	227	320	347	667	120	301	27	10	290	87	-18	+2	-4	+5	+30	1.6
/ 162G	—	A+C		—	650	567	129	23	3	13	65	172	12	13	5	228	320	347	667	120	301	26	10	290	87	-8	+1	-2	+2	+14	0.7
Career	—	MLE		—	3242	2836	634	115	17	56	318	859	62	70	23	224	315	335	651	112	298	26	10	297	87	-39	+5	-7	+11	+65	3.6
/ 162G	—	MLE		—	650	569	126	23	3	11	64	172	12	14	5	221	313	330	644	109	296	26	10	297	87	-8	+1	-2	+2	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#2Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#3Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#4Tony 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
#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
#6Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.1	1,410	26	29	225	315	341	+5	+2	2.6	2.6
/162	664	12	14	+2.4	+0.7	1.2	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
John Taylor (OGILVIE)	25	45	30	50	40	221/317/327	106	301	4	7	27%	10%	88	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hoy Park 2021 · AA	25	48→49	38→45	51→55	50	227/301/311	84	298	5	16	24%	9%	76	-0.4	221/303/338	117	295	12	16	27%	10%	84	+0.1	215/302/326	111	288	12	18	27%	10%	79	-0.2
✕Terrin Vavra 2022 · AA	25	48	43→45	49→50	49	230/305/350	120	299	10	12	25%	9%	87	+0.4	248/322/349	101	326	7	10	24%	9%	93	+0.8	251/326/342	91	332	6	8	24%	9%	89	+0.2
✕Kyle Mottice 2021 · A	25	51	36→30	52→55	51	234/337/301	66	283	3	19	17%	8%	89	+0.5	228/289/309	81	290	5	14	22%	6%	71	-0.8	243/296/294	52	301	0	21	18%	6%	65	-0.3
✕Roy Morales 2021 · A	26	47	38→30	51→45	46	224/287/306	82	283	5	10	22%	7%	70	-0.9	262/323/334	72	312	5	8	16%	7%	89	+0.5	282/345/343	61	332	4	7	15%	7%	96	+0.5
✕Yoel Yanqui 2021 · A	25	46→52	40	50	43	221/276/319	97	303	7	13	28%	7%	68	-1.0	214/278/323	109	306	10	9	31%	8%	70	-0.8	200/268/304	104	282	11	6	31%	8%	59	-0.8
✕Kevin Taylor 2016 · A	25	46→56	42→40	47→40	47	226/286/329	103	277	10	8	22%	7%	74	-0.5	253/314/341	88	299	6	3	17%	8%	88	+0.4	255/312/329	74	299	5	2	15%	7%	82	+0.0
✕Miles Mastrobuoni 2021 · AA	25	52→57	38→45	46→60	47	244/300/321	77	319	5	13	24%	8%	77	-0.3	250/309/356	106	324	8	17	23%	8%	88	+0.5	252/316/360	107	324	8	21	23%	8%	89	+0.4
✕Austin Krum 2011 · AA	25	48→50	38→40	49→50	48	226/291/305	79	287	5	12	22%	8%	71	-0.8	228/289/304	76	294	4	18	22%	7%	70	-0.9	233/293/297	65	302	2	23	22%	7%	68	-1.0
✕Damon Sublett 2011 · AA	25	46→49	41→45	47→50	49	216/296/321	105	306	6	8	29%	10%	77	-0.3	222/296/328	106	325	7	8	30%	9%	78	-0.3	245/318/369	124	369	5	2	32%	10%	93	+0.3
✕Kevin Kaczmarski 2017 · A	25	52→55	39→40	53→50	45	246/296/352	106	310	4	12	21%	6%	83	+0.1	243/306/323	80	317	3	11	23%	7%	80	-0.1	246/315/312	66	322	3	12	22%	8%	80	-0.1
✕Adam Melker 2013 · AA	25	48	39→40	46→50	43	231/283/314	83	300	7	9	25%	6%	70	-0.9	235/280/327	92	296	9	12	23%	5%	72	-0.7	238/281/323	85	296	9	13	22%	4%	68	-0.5
✕Jeff Duncan 2004 · MLB	25	44→47	41→45	50→60	51	213/297/306	93	275	9	13	24%	10%	74	-0.5	225/295/327	102	291	9	18	24%	8%	78	-0.3	232/299/312	80	302	7	21	24%	7%	74	-0.3
✕Mitchell Tolman 2019 · A	25	45→47	40→45	46→50	47	213/291/303	89	294	7	10	28%	9%	71	-0.8	214/282/312	98	298	8	9	29%	7%	70	-0.9	217/287/331	114	285	10	8	26%	7%	73	-0.4
✕Tucker Bradley 2022 · A	24	48→53	41→45	54→50	46	227/299/335	107	310	8	11	28%	8%	81	-0.1	243/306/369	126	316	11	15	25%	8%	91	+0.7	250/313/384	134	318	12	17	24%	8%	95	+0.6
✕Jack Dunn 2022 · A	25	50→48	38→40	53→55	47	235/298/314	79	300	6	15	23%	7%	76	-0.4	222/305/297	75	290	6	18	23%	10%	75	-0.5	213/306/284	71	274	6	21	22%	10%	71	-0.6
✕John Mora 2018 · AAA	25	47→50	38→40	47→50	45	223/281/308	85	291	4	11	24%	7%	68	-1.0	213/268/306	93	291	6	9	27%	6%	62	-1.4	200/254/302	102	272	6	5	27%	6%	54	-1.3
✕Austin Davidson 2018 · A	25	44→43	41→45	46→45	46	215/278/318	103	271	8	7	23%	7%	70	-0.9	222/283/336	114	279	9	6	23%	7%	75	-0.5	221/284/341	121	270	10	3	21%	7%	74	-0.3
✕Jonathan Johnson 2015 · A	26	46→52	38→40	56→50	53	215/300/298	83	269	4	15	20%	10%	74	-0.6	231/318/320	89	271	6	15	16%	10%	85	+0.2	233/326/316	83	271	5	16	15%	10%	85	+0.2
✕Junior Sosa 2016 · AA	25	47	39→30	49→55	45	225/275/314	88	282	6	10	22%	6%	66	-1.1	227/293/288	61	305	3	10	24%	8%	68	-1.0	229/300/256	27	311	0	9	24%	9%	60	-0.9
✕Davis Bradshaw 2023 · AA	25	55	36→40	48→50	44	258/312/328	70	321	3	13	20%	5%	83	+0.1	253/307/329	76	327	5	10	23%	5%	82	-0.0	272/323/345	74	355	5	3	23%	4%	88	+0.3

Career Stats + Projections

Career Comps

Career Path Comps