Steven Madero — OGILVIE

Steven MaderoC FCL Tigers

Age 19 L/R 6'2" / 175 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION168 act + 17 ros · stats below = ROS only

showingROS

wRC+†61

AVG/OBP/SLG.188 / .235 / .250

PA17

HR0

K%29

BB%6

BABIP257

ISO62

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$23M ctrl surplus

Tools · ContractCON 38 / POW 49

Toolsscout grade

CONTACT38

scouting grade only

POWER49

scouting grade only

EYE48

scouting grade only

SPEED48

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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$2M	+0.5	$1M	+$0.1M
2036	Arb-2	$3M	+0.4	$0.7M	+$0.0M (cut)
2037	Arb-3	$4M	+0.3	$0.5M	+$0.0M (cut)
Totals		$5M		$6M	+$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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2024	17	ROK	DSL Tigers 2	—	146	120	34	5	0	3	18	30	2	1	2	283	386	400	786	117	337	21	12	344	119	+3	-1	—	—	+3	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tigers 2	—	146	126	27	4	0	2	12	44	2	1	2	214	293	294	587	79	268	30	8	260	62	-7	-1	—	—	+3	-0.4
2024	17	ROK MLE	DSL Tigers 2	—	146	126	27	4	0	2	12	44	2	1	2	214	293	294	587	79	294	30	8	260	62	—	—	—	—	—	—
2024	17	ROK RAW	DSL Tigers 2	—	146	120	34	5	0	3	18	30	2	1	2	283	386	400	786	117	337	21	12	344	62	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 2	—	146	131	27	4	0	2	12	44	2	1	2	206	293	282	575	76	268	30	8	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Tigers 2	—	146	131	27	4	0	2	12	44	2	1	2	206	293	282	575	76	268	30	8	260	62	—	—	—	—	—	—
YTD	19	ROK MLE	DET	—	168	157	28	6	0	5	7	52	2	0	0	178	223	312	535	134	225	31	4	235	45	-11	+0	+0	+3	+4	-0.4
▸ 2026 season
YTD	19	ROK RAW	DET	—	168	151	40	10	0	7	12	36	2	0	0	265	325	470	795	205	300	21	7	346	45	—	—	—	—	—	—
ROS	19	ROK MLE	DET	0%	17	16	3	1	0	0	1	5	0	0	0	188	235	250	485	62	262	29	6	258	61	-1	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	DET	—	185	173	31	7	0	5	8	57	2	0	0	179	224	306	530	127	230	31	4	237	47	-12	+0	+0	+3	+4	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	DET	34%	230	212	44	8	1	6	14	63	2	3	1	208	263	340	603	132	267	27	6	270	69	-8	+0	+0	+4	+5	0.1
2028	21	MLB MLE	DET	48%	356	326	69	13	1	9	23	95	4	5	2	212	272	340	612	129	270	27	6	278	74	-11	+0	+0	+6	+8	0.4
2029	22	MLB MLE	DET	54%	446	408	89	17	2	12	30	117	5	7	3	218	280	358	638	140	272	26	7	283	78	-12	+0	+0	+8	+10	0.6
2030	23	MLB MLE	DET	57%	505	460	101	19	2	14	34	131	6	9	3	220	282	361	643	141	273	26	7	286	80	-12	+1	+0	+9	+11	0.9
2031	24	MLB MLE	DET	57%	520	474	105	20	2	15	35	135	6	9	3	222	283	367	651	146	274	26	7	288	81	-12	+1	+0	+9	+11	1.0
2032	25	MLB MLE	DET	57%	520	474	105	20	2	15	35	135	6	9	3	222	283	367	651	146	274	26	7	289	82	-11	+1	+0	+9	+11	1.0
2033	26	MLB MLE	DET	56%	520	474	105	20	2	15	35	135	6	9	3	222	283	367	651	146	273	26	7	289	82	-11	+1	+0	+9	+11	1.0
2034	27	MLB MLE	DET	55%	520	473	105	20	2	15	36	135	6	9	3	222	285	368	653	146	273	26	7	289	82	-11	+1	+0	+9	+11	1.0
2035	28	MLB MLE	DET	55%	520	473	104	19	2	15	36	136	6	9	3	220	283	364	647	144	273	26	7	288	81	-12	+1	-1	+9	+11	0.9
2036	29	MLB MLE	DET	58%	520	472	102	19	2	14	37	137	6	9	3	216	282	354	635	138	272	26	7	286	80	-13	+1	-1	+9	+11	0.7
2037	30	MLB MLE	DET	55%	520	472	102	19	2	14	37	138	6	8	3	216	282	354	635	138	270	27	7	283	78	-14	+0	-2	+9	+11	0.5
2038	31	MLB MLE	DET	58%	504	457	98	18	2	13	36	135	6	8	3	214	281	348	628	133	268	27	7	279	75	-15	+0	-3	+9	+11	0.3
2039	32	MLB MLE	DET	60%	489	447	93	17	2	12	34	133	5	7	3	208	272	336	607	128	265	27	7	274	71	-17	+0	-4	+9	+11	-0.1
2027	20	MLB CTX	DET	34%	79	73	15	3	0	2	5	22	1	1	0	205	266	329	595	123	262	28	6	258	69	-3	+0	+0	+1	+2	0.0
2028	21	MLB CTX	DET	48%	172	157	33	6	1	4	11	46	2	3	1	210	271	338	608	127	265	27	6	265	74	-5	+0	+0	+3	+4	0.2
2029	22	MLB CTX	DET	54%	242	221	47	9	1	6	16	64	3	4	1	213	275	344	619	131	267	26	7	270	78	-6	+0	+0	+4	+5	0.4
2030	23	MLB CTX	DET	57%	286	262	56	10	1	8	19	74	3	5	2	214	275	351	626	137	268	26	7	273	80	-7	+0	+0	+5	+6	0.5
2031	24	MLB CTX	DET	57%	294	269	58	11	1	8	20	76	3	5	2	216	277	353	631	138	269	26	7	274	81	-7	+0	+0	+5	+6	0.5
2032	25	MLB CTX	DET	57%	294	269	58	11	1	8	20	76	3	5	2	216	277	353	631	138	269	26	7	275	82	-6	+0	+0	+5	+6	0.5
2033	26	MLB CTX	DET	56%	294	269	58	11	1	8	20	76	3	5	2	216	277	353	631	138	269	26	7	275	82	-6	+0	+0	+5	+6	0.6
2034	27	MLB CTX	DET	55%	288	263	56	10	1	8	20	75	3	5	2	213	276	350	626	137	268	26	7	275	82	-6	+0	+0	+5	+6	0.5
2035	28	MLB CTX	DET	55%	285	260	56	10	1	8	20	74	3	5	2	215	279	354	633	138	268	26	7	274	81	-6	+0	-0	+5	+6	0.5
2036	29	MLB CTX	DET	58%	302	274	59	11	1	8	21	79	4	5	2	215	281	350	631	135	267	26	7	272	80	-7	+0	-1	+5	+7	0.4
2037	30	MLB CTX	DET	55%	288	263	55	10	1	7	20	77	3	5	2	209	273	335	607	125	266	27	7	270	78	-8	+0	-1	+5	+6	0.3
2038	31	MLB CTX	DET	58%	294	268	55	10	1	7	21	79	3	5	2	205	271	328	599	123	263	27	7	266	75	-9	+0	-2	+5	+6	0.2
2039	32	MLB CTX	DET	60%	296	270	55	10	1	7	21	81	3	4	2	204	269	326	595	122	260	27	7	261	71	-10	+0	-2	+5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3414	3118	661	122	12	89	234	899	37	57	22	212	275	344	619	132	267	26	7	271	78	-87	+3	-6	+61	+74	4.5
/ 162G	—	A+C		—	650	594	125	23	2	17	45	171	7	11	4	210	274	342	616	131	265	26	7	271	78	-17	+0	-1	+12	+14	0.9
Career	—	MLE		—	6333	5764	1252	234	24	171	435	1674	72	102	38	217	280	355	636	138	273	26	7	284	78	-159	+6	-10	+110	+134	8.2
/ 162G	—	MLE		—	650	592	128	24	2	18	45	172	7	10	4	216	280	355	634	139	271	26	7	284	78	-17	+1	-1	+12	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Miguel Olivolast yr '13 career totals — 11 seasons, 3,947 PA	5.9	3,947	144	53	241	275	417	+70	+53	19.1	18.9
/162	664	24	9	+11.9	+8.8	3.2	pk7: 19
#2Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#3John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#4Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#5Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.3	3,548	96	59	218	278	356	+63	+32	7.1	6.0
/162	664	18	11	+11.9	+6.0	1.3	pk7: 5
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4

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
Steven Madero (OGILVIE)	19	33→38	44→49	43→48	48	200/255/316	116	262	3	1	28%	6%	61	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Bryan Rincon 2023 · A	19	42→44	45	53→55	45	210/278/331	121	275	12	11	28%	8%	73	-0.6	192/286/292	100	274	9	22	30%	11%	68	-1.0	183/281/318	135	255	15	31	32%	11%	70	-0.5
✕Angel Ortiz 2022 · A	19	42	41→50	46→45	44	206/261/295	89	268	9	9	26%	7%	57	-1.8	207/258/303	96	280	7	7	27%	6%	58	-1.7	218/275/359	140	283	14	8	27%	7%	76	-0.3
✕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
✕Randel Alcantara 2016 · A	19	44	41→45	46→45	43	211/283/321	110	282	7	6	26%	6%	73	-0.6	197/255/304	107	263	9	6	27%	5%	58	-1.7	132/175/242	109	157	14	3	27%	3%	12	-1.3
●Óscar Hernández 2011 · A	18	40	44→50	48→40	43	200/263/313	114	250	11	5	25%	6%	63	-1.3	236/308/404	168	278	21	4	23%	7%	101	+1.4	221/281/376	155	266	19	2	24%	5%	85	+0.1
✕Isan Díaz 2016 · A	20	44→41	46→55	48→45	41	215/274/356	141	304	13	9	32%	7%	76	-0.4	201/270/333	132	296	13	8	34%	8%	70	-0.8	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Miguel Palma 2021 · A	19	42	41→45	48→40	42	201/285/303	102	283	9	11	30%	7%	70	-0.8	215/292/337	122	284	13	5	27%	8%	80	-0.2	215/282/336	121	275	14	2	26%	7%	74	-0.2
✕Samuel Zavala 2023 · A	19	43→44	47→45	48→50	45	213/280/355	142	293	13	10	31%	8%	79	-0.2	192/286/304	112	288	12	12	34%	11%	71	-0.8	189/288/289	99	265	11	12	30%	11%	65	-1.0
✕Miguel Amaya 2019 · A	20	43→41	43→50	48→40	44	212/277/322	110	267	11	4	25%	6%	70	-0.8	210/288/334	124	267	13	4	25%	8%	78	-0.3	212/319/354	142	290	16	3	30%	10%	93	+0.3
✕Jeter Downs 2018 · A	20	42→40	43→50	47→55	47	208/276/316	107	257	11	9	23%	7%	68	-1.0	211/277/351	140	270	15	17	27%	7%	78	-0.3	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Jeferson Quero 2023 · A	20	46→45	44→50	49→45	41	225/274/342	117	290	12	9	26%	6%	73	-0.6	226/282/358	132	276	15	7	23%	7%	80	-0.1	215/277/344	129	257	16	4	23%	7%	73	-0.4
✕John Drennen 2006 · A	19	39→49	47→45	47→45	42	202/261/332	130	256	15	8	28%	6%	67	-1.1	220/278/321	101	286	9	6	25%	6%	70	-0.8	243/293/365	122	288	8	1	18%	6%	83	+0.1
✕Gleider Figuereo 2023 · A	19	38→36	46→45	53→45	43	194/261/322	128	260	13	8	30%	7%	64	-1.3	181/240/291	110	277	13	6	38%	6%	49	-2.4	171/234/297	126	236	17	6	35%	7%	46	-2.1
✕Matthew Sweeney 2007 · A	19	48→40	44→50	54→45	46	231/295/357	127	283	10	6	22%	7%	84	+0.2	223/274/366	143	278	15	5	25%	6%	79	-0.2	206/259/340	134	268	14	3	28%	6%	66	-0.7
✕René Pinto 2016 · A	19	44	42→55	49→40	43	217/263/331	114	262	9	7	21%	5%	66	-1.1	223/265/332	109	283	9	4	24%	5%	68	-1.0	232/273/330	99	296	7	1	23%	5%	69	-0.4
✕Hoy Park 2016 · A	20	40→49	41→45	47→55	46	196/269/296	99	264	8	11	28%	8%	61	-1.5	204/280/290	86	281	5	16	27%	8%	63	-1.3	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Rio Ruiz 2014 · A	20	44→52	44→50	50→40	45	215/270/339	125	281	10	8	27%	7%	71	-0.8	232/297/337	105	300	8	4	23%	9%	80	-0.1	218/284/357	138	259	16	3	22%	8%	79	-0.1
✕Jesús Báez 2023 · A	18	39→40	44→55	44→45	43	197/263/310	113	267	13	9	30%	8%	63	-1.4	199/261/321	122	254	13	9	26%	7%	64	-1.3	217/271/392	175	242	26	8	23%	6%	83	+0.1
✕Bo Naylor 2019 · A	19	44→43	39→55	52→50	46	210/278/299	89	296	6	9	30%	8%	65	-1.2	190/247/308	118	273	11	8	33%	7%	55	-1.9	213/305/387	174	267	21	12	27%	11%	94	+0.7
✕Samuel Basallo 2023 · A	18	41→49	44→55	48→45	40	207/262/315	108	280	13	4	30%	6%	63	-1.4	232/288/385	153	298	18	7	27%	7%	88	+0.5	229/288/395	166	286	21	6	27%	7%	88	+0.4

Career Stats + Projections

Career Comps

Career Path Comps