Joseph Tailor — OGILVIE

Joseph Tailor2B FCL Marlins

Age 20 L/R 5'11" / 175 lbs ROK HR -4%BB +3% Svc 0.0 · Ctrl thru 2037 peak 2.1 · 2033

wRC+†71

AVG/OBP/SLG.206 / .282 / .327

PA98

HR2

K%30

BB%8

MLB%0%

Scouting · now → future

HIT

24↗29

PWR

40↗45

SPD

54↗59

EYE

42↗47

trajectory · 10 yrs

2.1peak

2033

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
2026	MiLB	still in minors · estimated debut 2032
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	Ext / FA-deal	$0.9M	+2.0	$19M	+$18M
2033	Ext / FA-deal	$1.0M	+2.1	$21M	+$20M
2034	Ext / FA-deal	$1.0M	+2.0	$20M	+$19M
2035	Ext / FA-deal	$4M	+1.8	$19M	+$15M
2036	Ext / FA-deal	$5M	+1.5	$16M	+$11M
2037	Ext / FA-deal	$6M	+1.3	$14M	+$8M
Totals		$18M		$109M	+$91M

Career Projections (MLE)

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	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
2023	17	ROK	DSL Miami	158	144	27	1	1	2	8	63	3	12	2	.188	.245	.250	.495	.062	.309	40	5	.207	17	-15	+2	+0	+1	+4	-0.8
2024	18	ROK	DSL Marlins	217	182	37	5	5	6	12	74	23	13	6	.203	.332	.385	.716	.181	.304	34	6	.302	89	-3	+0	+0	+1	+6	0.5
2025	19	ROK	FCL Marlins	115	103	9	1	0	0	7	43	5	8	4	.087	.183	.097	.280	.010	.150	37	6	.137	-37	-18	+0	+0	+0	+3	-1.4
▸ 2026 Season
2026	20	MLB	MIA	98	89	18	3	1	2	7	29	2	2	1	.202	.276	.326	.601	.124	.283	30	7	.278	71	-3	+0	+0	+0	+3	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	MIA	184	163	35	6	1	5	15	52	4	4	1	.215	.297	.356	.653	.141	.285	28	8	.294	83	-3	+0	+0	+1	+5	0.3
2028	22	MLB 28%	MIA	313	276	62	11	2	9	28	85	6	8	2	.225	.310	.377	.686	.152	.286	27	9	.305	91	-3	+1	+0	+1	+9	0.8
2029	23	MLB 48%	MIA	402	354	81	15	2	12	37	107	8	10	2	.229	.316	.384	.700	.155	.287	27	9	.311	97	-2	+1	+0	+1	+11	1.3
2030	24	MLB 62%	MIA	462	407	93	17	3	14	43	121	9	12	3	.229	.316	.388	.704	.160	.287	26	9	.316	100	-0	+1	+0	+2	+13	1.6
2031	25	MLB 80%	MIA	496	435	100	18	3	15	48	129	10	12	3	.230	.320	.389	.709	.159	.288	26	10	.319	102	+1	+1	+0	+2	+14	1.9
2032	26	MLB 94%	MIA	516	450	104	19	3	16	51	134	10	13	3	.231	.323	.393	.716	.162	.289	26	10	.321	104	+2	+1	+0	+2	+15	2.0
2033	27	MLB	MIA	524	457	105	19	3	16	52	136	10	13	3	.230	.322	.389	.711	.160	.289	26	10	.321	104	+2	+1	+0	+2	+15	2.1
2034	28	MLB	MIA	524	457	105	19	3	16	52	137	10	12	2	.230	.322	.389	.711	.160	.288	26	10	.320	103	+2	+2	-1	+2	+15	2.0
2035	29	MLB	MIA	517	450	103	18	3	16	52	137	10	12	2	.229	.322	.389	.711	.160	.287	26	10	.318	101	+1	+2	-1	+2	+15	1.8
2036	30	MLB	MIA	509	443	100	18	3	15	51	137	10	11	2	.226	.319	.381	.701	.156	.286	27	10	.314	99	-1	+1	-2	+2	+14	1.5
2037	31	MLB	MIA	496	434	96	17	2	15	50	135	9	10	1	.221	.314	.373	.688	.152	.284	27	10	.311	96	-2	+2	-3	+2	+14	1.3
2038	32	MLB	MIA	479	419	91	16	2	14	48	133	9	9	0	.217	.311	.365	.676	.148	.283	28	10	.306	92	-4	+2	-4	+2	+14	1.0
2039	33	MLB	MIA	450	394	84	15	2	12	45	128	8	8	0	.213	.306	.353	.659	.140	.281	28	10	.300	88	-6	+2	-4	+2	+13	0.6
2040	34	MLB	MIA	404	354	74	13	2	10	40	118	7	8	0	.209	.302	.342	.644	.133	.279	29	10	.294	83	-8	+2	-5	+1	+11	0.2
2041	35	MLB	MIA	350	307	63	11	2	8	34	106	6	7	0	.205	.297	.332	.629	.127	.277	30	10	.286	77	-9	+1	-6	+1	+10	-0.2
2042	36	MLB	MIA	291	256	50	9	1	6	28	91	5	6	0	.195	.287	.309	.596	.113	.274	31	10	.277	70	-10	+1	-6	+1	+8	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			7505	6574	1437	251	44	209	708	2095	164	190	37	.219	.310	.366	.676	.147	.285	28	9	.304	91	-78	+23	-31	+27	+213	15.6
/ 162G	—			650	569	125	22	4	18	61	181	14	16	3	.220	.310	.367	.677	.148	.287	28	9	.304	91	-7	+2	-3	+2	+18	1.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2023	17	ROK	DSL Miami	158	139	33	2	1	2	13	43	3	12	2	.237	.316	.309	.625	.072	.323	27	8	.285	76	-4	+2	—	—	+4	0.2
2024	18	ROK	DSL Marlins	217	175	49	9	7	7	19	52	23	13	6	.280	.419	.531	.951	.251	.362	24	9	.420	179	+19	+0	—	—	+6	2.6
2025	19	ROK	FCL Marlins	115	98	13	2	0	0	12	29	5	8	4	.133	.261	.153	.414	.020	.188	25	10	.214	22	-10	+0	—	—	+3	-0.7

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
Joseph Tailor (OGILVIE)	20	24→29	40→45	54→59	47	.206/.282/.327	.121	.283	2	2	30%	8%	71	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Jimenez 2023 · A	20	38→41	46→50	53→55	45	.189/.278/.319	.129	.289	14	15	37%	10%	67	-0.5	.210/.289/.331	.121	.326	12	16	36%	9%	74	-0.1	.216/.296/.349	.133	.314	15	19	33%	9%	78	+0.1
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	.188/.259/.305	.117	.281	12	9	36%	7%	55	-1.4	.194/.278/.291	.097	.346	7	8	42%	9%	59	-1.1	.146/.273/.221	.075	.359	3	4	52%	12%	39	-0.5
●Bo Naylor 2021 · A	21	41→43	44→55	50	43	.203/.259/.325	.122	.273	11	7	29%	7%	59	-1.1	.199/.278/.352	.153	.276	18	12	33%	9%	75	-0.0	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
✕Sean Coyle 2012 · A	20	38→36	49→50	53→50	42	.198/.271/.352	.155	.274	16	13	33%	7%	72	-0.2	.199/.257/.341	.142	.284	16	13	34%	6%	63	-0.8	.197/.258/.362	.165	.284	22	15	38%	7%	67	-0.3
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	45	.183/.271/.272	.089	.286	7	6	36%	10%	52	-1.6	.190/.265/.267	.077	.298	5	6	35%	9%	47	-1.9	.182/.268/.267	.085	.274	6	3	33%	10%	48	-0.6
✕Eddinson Paulino 2023 · A	21	44→41	46→45	56→50	44	.216/.282/.359	.144	.289	11	14	28%	8%	78	+0.2	.202/.260/.328	.126	.278	12	15	30%	6%	61	-1.0	.186/.241/.303	.118	.255	13	15	32%	6%	43	-1.4
✕Cole Roederer 2021 · A	21	38→33	43→45	51→50	43	.192/.259/.300	.108	.274	11	13	33%	8%	53	-1.5	.205/.268/.319	.114	.301	12	12	34%	7%	62	-0.9	.179/.252/.298	.118	.265	14	11	36%	8%	49	-1.0
✕Johan Mieses 2016 · A	21	41→32	45→55	53→50	39	.208/.253/.334	.126	.273	12	15	28%	5%	59	-1.1	.188/.236/.349	.161	.267	20	5	37%	5%	56	-1.3	.194/.269/.375	.181	.237	26	7	31%	7%	74	-0.0
✕Isan Díaz 2016 · A	20	43→40	46→55	48→45	41	.212/.271/.348	.137	.301	12	9	33%	7%	70	-0.3	.202/.271/.334	.132	.293	13	8	33%	8%	67	-0.5	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0
✕Bryan Rincon 2023 · A	19	43→42	45→40	53→65	45	.213/.281/.336	.123	.279	13	11	28%	8%	72	-0.2	.194/.288/.298	.104	.270	9	21	29%	10%	66	-0.6	.165/.260/.259	.093	.238	9	30	32%	10%	44	-1.1
✕Stephen Chapman 2006 · A	20	42→35	43→50	50	42	.211/.268/.322	.112	.281	11	11	28%	6%	63	-0.9	.201/.252/.336	.135	.283	14	11	33%	5%	59	-1.1	.183/.234/.333	.150	.263	17	11	36%	5%	50	-1.2
✕Travis Blankenhorn 2018 · A	21	42→43	45→55	54→50	40	.209/.270/.337	.128	.288	12	8	31%	6%	67	-0.5	.208/.259/.341	.133	.291	14	8	32%	5%	63	-0.8	.211/.283/.380	.168	.276	21	6	31%	8%	81	+0.3
✕Akil Baddoo 2019 · A	20	42→51	43→55	56→55	48	.206/.282/.325	.120	.283	9	13	29%	9%	69	-0.4	.212/.283/.340	.128	.306	11	16	32%	9%	73	-0.1	.232/.314/.375	.143	.300	15	24	26%	11%	91	+0.8
✕Kevin Padlo 2016 · A	20	39→40	46→55	50	46	.198/.273/.333	.136	.268	13	8	30%	8%	68	-0.5	.186/.271/.313	.127	.268	12	8	33%	10%	63	-0.9	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Bryan Ramos 2022 · A	20	40	45→50	49→50	41	.203/.270/.328	.125	.273	12	8	30%	6%	66	-0.6	.212/.271/.357	.145	.264	19	5	27%	6%	73	-0.1	.206/.264/.348	.141	.251	20	5	26%	6%	65	-0.5
✕Ravel Santana 2011 · A	19	43	46→50	51→55	47	.214/.294/.340	.125	.274	14	15	26%	8%	79	+0.3	.220/.281/.362	.142	.292	16	13	29%	7%	79	+0.3	.205/.253/.387	.182	.264	22	15	31%	6%	72	-0.1
✕Angel Ortiz 2022 · A	19	42→40	41→50	46→40	44	.207/.262/.297	.091	.272	9	9	27%	7%	53	-1.5	.205/.256/.301	.096	.278	8	7	27%	6%	51	-1.7	.210/.263/.325	.115	.276	10	3	27%	6%	59	-0.6
✕Brian Pointer 2012 · A	20	42→41	44→45	55→50	38	.205/.259/.326	.122	.303	11	10	35%	6%	59	-1.1	.187/.255/.299	.112	.286	10	12	36%	7%	52	-1.6	.192/.271/.313	.121	.285	12	13	34%	8%	58	-0.8
✕Jesus Valdez 2012 · A	20	42	43→45	51→40	44	.208/.261/.320	.113	.256	10	7	23%	6%	59	-1.1	.207/.259/.317	.110	.278	11	4	29%	5%	57	-1.2	.196/.246/.301	.106	.265	12	3	30%	5%	46	-1.1
✕Stryker Trahan 2014 · A	20	39→23	45→50	51→40	43	.196/.262/.320	.124	.273	12	6	32%	8%	59	-1.1	.167/.216/.292	.125	.268	14	3	42%	6%	33	-2.9	.143/.187/.264	.121	.228	15	2	44%	5%	11	-2.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)