Joseph Tailor — OGILVIE

Joseph Tailor2B FCL Marlins

Age 20 L/R 5'11" / 175 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION36 act + 8 ros · stats below = ROS only

showingROS

wRC+†61

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

PA8

HR0

K%25

BB%6

BABIP257

ISO100

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 29 / POW 44

Toolsscout grade

CONTACT29

scouting grade only

POWER44

scouting grade only

EYE47

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
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	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.2M	+$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)
2023	17	ROK	DSL Miami	—	158	139	33	2	1	2	13	43	3	12	2	237	316	309	625	72	323	27	8	285	79	-4	+2	—	—	+3	0.1
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	170	+18	+0	—	—	+5	2.4
2025	19	ROK	FCL Marlins	—	115	98	13	2	0	0	12	29	5	8	4	133	261	153	414	20	188	25	10	214	31	-9	+0	—	—	+2	-0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Miami	—	158	144	25	1	1	1	8	62	3	12	2	174	232	215	448	42	279	39	5	205	25	-14	+2	—	—	+3	-0.9
2024	18	ROK MLE	DSL Marlins	—	217	182	36	6	5	5	12	75	23	13	6	198	327	368	695	170	287	35	6	294	85	-4	+0	—	—	+5	0.1
2025	19	ROK MLE	FCL Marlins	—	115	103	9	1	0	0	7	42	5	8	4	87	183	97	280	10	148	37	6	140	-19	-16	+0	—	—	+2	-1.4
2023	17	ROK MLE	DSL Miami	—	158	144	25	1	1	1	8	62	3	12	2	174	232	215	448	42	289	39	5	205	25	—	—	—	—	—	—
2023	17	ROK RAW	DSL Miami	—	158	139	33	2	1	2	13	43	3	12	2	237	316	309	625	72	323	27	8	285	25	—	—	—	—	—	—
2024	18	ROK MLE	DSL Marlins	—	217	182	36	6	5	5	12	75	23	13	6	198	327	368	695	170	304	35	6	294	85	—	—	—	—	—	—
2024	18	ROK RAW	DSL Marlins	—	217	175	49	9	7	7	19	52	23	13	6	280	419	531	951	251	362	24	9	420	85	—	—	—	—	—	—
2025	19	ROK MLE	FCL Marlins	—	115	103	9	1	0	0	7	42	5	8	4	87	183	97	280	10	148	37	6	140	-19	—	—	—	—	—	—
2025	19	ROK RAW	FCL Marlins	—	115	98	13	2	0	0	12	29	5	8	4	133	261	153	414	20	188	25	10	214	-19	—	—	—	—	—	—
2023	17	ROK MLE	DSL Miami	—	158	146	25	1	1	1	8	62	3	12	2	171	232	212	445	41	279	39	5	205	25	—	—	—	—	—	—
2024	18	ROK MLE	DSL Marlins	—	217	180	36	6	5	5	12	75	23	13	6	200	327	372	699	172	287	35	6	294	85	—	—	—	—	—	—
2025	19	ROK MLE	FCL Marlins	—	115	102	9	1	0	0	7	42	5	8	4	88	183	98	281	10	148	37	6	140	-19	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Miami	—	158	146	25	1	1	1	8	62	3	12	2	171	232	212	445	41	279	39	5	205	25	—	—	—	—	—	—
2024	18	ROK MLE	DSL Marlins	—	217	180	36	6	5	5	12	75	23	13	6	200	327	372	699	172	287	35	6	294	85	—	—	—	—	—	—
2025	19	ROK MLE	FCL Marlins	—	115	102	9	1	0	0	7	42	5	8	4	88	183	98	281	10	148	37	6	140	-19	—	—	—	—	—	—
YTD	20	ROK MLE	MIA	—	36	32	5	0	1	1	2	14	2	0	1	156	250	312	562	156	235	39	6	200	22	-3	-0	+0	+0	+1	-0.3
▸ 2026 season
YTD	20	ROK RAW	MIA	—	36	31	6	0	1	1	3	10	2	0	1	194	306	355	660	161	250	28	8	302	22	—	—	—	—	—	—
ROS	20	ROK MLE	MIA	0%	8	8	1	0	0	0	0	2	0	0	0	125	125	125	250		264	25	0	258	61	-0	+0	+0	+0	+0	-0.0
TOT	20	ROK MLE	MIA	—	44	40	6	0	1	1	2	16	2	0	1	150	227	275	502	125	217	36	5	211	29	-4	-0	+0	+0	+1	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	MIA	34%	184	166	33	6	1	3	12	50	4	4	1	199	269	301	570	102	266	27	7	267	67	-7	+0	+0	+1	+4	-0.2
2028	22	MLB MLE	MIA	48%	313	282	58	10	2	6	21	83	7	7	2	206	277	319	597	113	269	27	7	275	72	-10	+1	+0	+1	+7	-0.2
2029	23	MLB MLE	MIA	54%	402	363	77	13	3	9	27	106	9	9	3	212	283	339	622	127	271	26	7	280	75	-12	+1	+0	+1	+9	-0.1
2030	24	MLB MLE	MIA	55%	462	417	89	15	4	10	32	120	10	11	4	213	285	341	626	127	272	26	7	283	77	-12	+1	+0	+2	+10	-0.0
2031	25	MLB MLE	MIA	56%	496	448	96	17	4	11	34	129	11	12	4	214	286	344	630	129	272	26	7	283	78	-13	+1	+0	+2	+11	0.0
2032	26	MLB MLE	MIA	56%	516	464	100	17	4	12	36	134	11	12	4	216	288	347	635	131	272	26	7	284	78	-13	+1	+0	+2	+11	0.0
2033	27	MLB MLE	MIA	55%	524	471	101	17	4	12	37	136	11	13	4	214	287	344	631	130	272	26	7	284	78	-14	+1	+0	+2	+11	0.1
2034	28	MLB MLE	MIA	55%	524	470	100	17	4	12	38	137	11	12	4	213	287	343	630	130	271	26	7	283	78	-14	+1	-1	+2	+11	-0.1
2035	29	MLB MLE	MIA	58%	517	464	98	17	4	11	37	136	11	12	4	211	285	336	621	125	270	26	7	281	76	-15	+1	-1	+2	+11	-0.2
2027	21	MLB CTX	MIA	34%	63	58	12	2	1	1	4	17	1	1	0	207	270	328	597	121	259	27	6	243	67	-2	+0	+0	+0	+1	-0.1
2028	22	MLB CTX	MIA	48%	152	138	28	5	1	3	10	40	3	3	1	203	272	319	590	116	262	26	7	252	72	-5	+0	+0	+1	+3	-0.1
2029	23	MLB CTX	MIA	54%	218	196	41	7	2	4	15	57	5	5	2	209	282	327	609	117	264	26	7	257	75	-6	+0	+0	+1	+5	-0.1
2030	24	MLB CTX	MIA	55%	256	230	48	8	2	5	18	67	6	6	2	209	283	326	610	117	265	26	7	260	77	-7	+0	+0	+1	+6	-0.0
2031	25	MLB CTX	MIA	56%	278	251	53	9	2	6	19	72	6	7	2	211	283	335	617	124	265	26	7	260	78	-7	+1	+0	+1	+6	0.0
2032	26	MLB CTX	MIA	56%	290	262	54	9	2	6	20	75	6	7	2	206	278	324	602	118	265	26	7	261	78	-8	+1	+0	+1	+6	0.0
2033	27	MLB CTX	MIA	55%	290	261	54	9	2	6	21	76	6	7	2	207	281	326	607	119	264	26	7	261	78	-8	+1	+0	+1	+6	0.0
2034	28	MLB CTX	MIA	55%	287	258	53	9	2	6	21	75	6	7	2	205	281	326	606	120	264	26	7	260	78	-8	+1	-0	+1	+6	-0.0
2035	29	MLB CTX	MIA	58%	300	269	55	9	2	6	22	79	6	7	2	204	279	320	599	115	263	26	7	258	76	-8	+1	-1	+1	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2134	1923	398	67	16	43	150	558	45	50	15	207	280	326	606	119	267	26	7	259	73	-59	+4	-1	+8	+46	-0.3
/ 162G	—	A+C		—	650	586	121	20	5	13	46	170	14	15	5	206	281	324	605	118	266	26	7	259	73	-18	+1	-0	+2	+14	-0.1
Career	—	MLE		—	4436	3982	823	137	36	92	301	1212	116	125	42	207	282	328	610	122	271	27	7	275	73	-111	+6	-2	+14	+85	-0.7
/ 162G	—	MLE		—	650	583	120	20	5	13	44	178	17	18	6	206	281	324	605	118	271	27	7	275	73	-18	+1	-0	+2	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#2Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.4	2,232	48	52	213	282	339	+8	+6	1.1	1.2
/162	664	14	15	+2.4	+1.8	0.3	pk7: 1
#5Nick 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
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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	39→44	54→59	47	195/264/298	103	264	2	2	28%	6%	61	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Valenzuela 2014 · A	20	41	37→45	53→45	46	193/250/268	75	240	4	9	21%	7%	47	-2.6	229/258/316	87	295	5	8	23%	4%	60	-1.6	262/284/362	100	318	5	7	19%	2%	77	-0.1
✕Jesus Valdez 2012 · A	20	41	43→45	51→40	44	206/259/320	115	251	11	7	23%	6%	63	-1.4	206/257/315	109	279	11	4	29%	5%	61	-1.5	195/245/301	106	265	12	3	30%	5%	52	-1.2
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Jefry Puente 2012 · A	20	35	37→45	55→50	47	170/258/247	77	249	3	11	30%	9%	47	-2.6	192/268/269	77	260	3	14	25%	8%	55	-2.0	163/244/219	56	209	0	27	20%	7%	32	-0.9
✕Johan Mieses 2015 · A	20	43→33	42→55	60→50	42	208/261/317	109	274	8	22	26%	6%	62	-1.4	194/241/346	152	272	18	8	35%	5%	63	-1.4	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Sandy Acevedo 2013 · A	20	41	41→45	50	40	196/269/296	100	293	8	11	34%	7%	61	-1.5	199/266/318	119	286	10	9	32%	7%	65	-1.2	149/220/307	158	194	15	9	31%	7%	43	-0.7
✕Victor Mesa Jr. 2022 · A	20	44	40→55	52→50	40	212/257/310	97	289	6	9	28%	5%	59	-1.7	208/259/315	107	277	10	9	27%	6%	61	-1.5	228/287/392	163	266	21	11	23%	7%	87	+0.2
✕Diomedes Del Rio 2018 · A	20	40	35→55	51→50	42	189/256/253	63	271	2	9	29%	6%	47	-2.6	207/272/316	109	294	5	9	29%	8%	66	-1.1	200/270/362	161	281	6	11	29%	8%	74	-0.2
✕David Calabrese 2023 · A	20	39	41→45	56→50	41	189/251/288	99	284	8	15	35%	7%	53	-2.1	182/253/293	111	267	12	13	34%	8%	55	-1.9	182/240/283	101	235	12	16	28%	7%	44	-1.3
✕Kody Eaves 2013 · A	20	41→42	39→45	56→50	41	200/251/288	89	269	5	8	27%	6%	52	-2.2	204/242/298	94	280	6	14	28%	4%	51	-2.3	185/243/302	117	253	10	7	30%	7%	50	-1.4
✕Darrien Miller 2021 · A	20	42→41	36→45	47→45	43	198/272/267	70	271	3	8	27%	6%	56	-1.9	199/300/314	115	273	13	6	30%	9%	79	-0.2	175/316/278	103	239	9	4	27%	12%	76	-0.2
✕Herman Armas 2007 · A	20	41	40→45	47→50	40	198/265/294	96	288	7	11	32%	6%	59	-1.6	218/287/329	111	286	11	9	26%	7%	76	-0.4	218/293/335	117	266	14	9	23%	8%	78	-0.2
✕Omar Lebron 2019 · A	20	39	41→40	49→55	45	192/265/289	97	247	9	15	26%	7%	59	-1.7	194/266/285	91	272	6	9	29%	7%	58	-1.7	150/240/231	81	213	3	9	28%	8%	35	-0.9
✕Ryan Mount 2007 · A	20	42	42→50	49→50	42	207/266/309	103	292	10	8	32%	7%	63	-1.4	223/268/340	117	293	12	11	27%	5%	70	-0.8	249/293/390	141	308	15	8	23%	5%	90	+0.2
✕Cole Roederer 2021 · A	21	38→32	43→45	51→50	42	190/258/298	108	281	10	12	34%	8%	57	-1.8	205/269/314	109	303	11	12	34%	7%	65	-1.2	180/254/288	108	265	12	11	34%	8%	53	-1.2
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Brainer Bonaci 2022 · A	20	40→44	39→45	53→50	43	195/254/284	89	269	5	13	28%	7%	53	-2.1	216/286/322	106	302	9	13	29%	9%	74	-0.6	216/290/325	109	297	11	14	29%	9%	73	-0.4
✕Janelfry Zorrilla 2011 · A	20	41	40→45	50	42	202/257/291	89	262	7	13	26%	6%	55	-2.0	224/279/352	128	280	13	10	24%	6%	78	-0.3	225/276/353	127	282	14	8	25%	5%	75	-0.2
✕Brian Pointer 2012 · A	20	41	44→45	56→50	38	203/257/327	124	300	11	10	35%	6%	63	-1.3	189/261/299	110	295	10	12	37%	7%	59	-1.6	194/274/314	120	289	11	13	34%	8%	65	-0.9
✕Gilbert Gomez 2012 · A	20	40→37	40	52→50	40	195/254/288	93	274	7	14	31%	6%	53	-2.1	201/272/277	76	304	4	8	32%	8%	58	-1.7	190/273/260	70	294	3	7	33%	10%	51	-1.4

Career Stats + Projections

Career Comps

Career Path Comps