Steven Madero

C FCL Tigers

Age 20 L/R 6'2" / 175 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#892ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Tigers 2	146	.283/.386/.400	3	1	47	—	.176/.264/.224
2026	19	ROKDET	168	.265/.325/.470	7	0	45	—	.178/.223/.312
2027PROJMLE	20	MLBDET	278	.214/.272/.314	4	1	65	0.0
2028PROJ34% MLB	21	MLBDET	47	.214/.275/.321	1	0	71	0.0
2029PROJ48% MLB	22	MLBDET	112	.218/.279/.332	2	0	75	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

ISO84

K%49

wRC+46

Whiff%37

wOBA35

Z-Con%32

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsJoe Mack (age 21) · Carlos Soto (age 20) · Creed Willems (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 87 proj PA

wRC+†65

AVG/OBP/SLG.212 / .270 / .312

PA87

HR1

K%28

BB%6

ISO101

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2036	Arb-1	$1M	+0.3	$0.6M	+$0.1M
2037	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2038	Arb-3	$1.0M	—	—	—
Totals		$4M		$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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 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 1-3 WAR low.

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	47	—	—	—	—	—	—
2026	19	ROK	FCL Tigers	—	168	151	40	10	0	7	12	36	2	0	0	265	325	470	795	205	300	21	7	346	45	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tigers 2	—	146	125	22	3	0	1	13	37	2	1	2	176	264	224	488	48	222	25	9	237	47	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	168	157	28	6	0	5	7	52	2	0	0	178	223	312	535	134	221	31	4	234	45	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 2	—	146	125	22	3	0	1	13	37	2	1	2	176	264	224	488	48	228	25	9	237	47	—	—	—	—	—	—
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	47	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	168	157	28	6	0	5	7	52	2	0	0	178	223	312	535	134	225	31	4	234	45	—	—	—	—	—	—
2026	19	ROK RAW	FCL Tigers	—	168	151	40	10	0	7	12	36	2	0	0	265	325	470	795	205	300	21	7	346	45	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 2	—	146	130	22	3	0	1	13	37	2	1	2	169	264	215	480	46	222	25	9	237	47	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	168	157	28	6	0	5	7	52	2	0	0	178	223	312	535	134	221	31	4	234	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Tigers 2	—	146	130	22	3	0	1	13	37	2	1	2	169	264	215	480	46	222	25	9	237	47	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	168	157	28	6	0	5	7	52	2	0	0	178	223	312	535	134	221	31	4	234	45	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	DET	0%	278	255	55	10	2	4	18	77	3	1	0	214	272	314	587	101	285	28	6	265	65	-11	+0	+0	+5	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	DET	34%	137	126	27	5	1	2	9	37	1	0	0	218	278	328	606	110	287	27	7	273	71	-5	+0	+0	+2	+3	0.1
2029	22	MLB MLE	DET	48%	231	211	47	8	1	5	16	62	2	0	0	221	283	339	622	118	288	27	7	279	75	-7	+0	+0	+4	+5	0.2
2030	23	MLB MLE	DET	54%	326	297	67	12	2	7	23	87	3	0	0	225	287	349	635	124	289	27	7	285	79	-8	+0	+0	+6	+7	0.5
2031	24	MLB MLE	DET	55%	393	358	81	14	2	9	28	104	4	0	0	227	290	356	646	129	290	26	7	289	82	-9	+0	+0	+7	+9	0.7
2032	25	MLB MLE	DET	56%	432	394	90	16	2	11	31	113	4	0	0	229	292	362	653	133	291	26	7	292	84	-8	+0	+0	+8	+9	0.9
2033	26	MLB MLE	DET	56%	445	406	92	16	2	11	32	116	4	0	0	229	292	363	655	134	290	26	7	293	84	-8	+0	+0	+8	+10	0.9
2034	27	MLB MLE	DET	55%	445	406	92	16	2	11	32	117	4	0	0	228	291	360	651	133	290	26	7	291	83	-9	+0	+0	+8	+10	0.9
2035	28	MLB MLE	DET	55%	445	406	92	16	2	11	32	118	4	0	0	226	289	356	645	130	289	27	7	289	81	-10	+0	-1	+8	+10	0.7
2036	29	MLB MLE	DET	53%	445	406	90	16	2	10	32	119	4	0	0	223	286	349	635	126	287	27	7	285	79	-11	+0	-1	+8	+10	0.5
2037	30	MLB MLE	DET	57%	440	402	89	16	2	10	31	119	4	0	0	220	282	342	624	121	285	27	7	280	76	-13	+0	-2	+8	+10	0.3
2038	31	MLB MLE	DET	60%	406	372	81	14	2	9	28	112	3	0	0	216	277	332	609	116	282	28	7	274	72	-14	+0	-3	+7	+9	-0.1
2028	21	MLB CTX	DET	34%	47	44	10	2	0	1	3	13	0	0	0	214	275	321	596	107	282	28	6	269	71	-2	+0	+0	+1	+1	0.0
2029	22	MLB CTX	DET	48%	112	102	23	4	1	2	8	30	1	0	0	218	279	332	611	114	283	27	7	275	75	-3	+0	+0	+2	+2	0.1
2030	23	MLB CTX	DET	54%	177	161	36	6	1	4	12	47	2	0	0	221	283	341	623	120	285	27	7	280	79	-4	+0	+0	+3	+4	0.3
2031	24	MLB CTX	DET	55%	218	199	44	8	1	5	15	57	2	0	0	223	286	348	634	125	286	26	7	284	82	-5	+0	+0	+4	+5	0.4
2032	25	MLB CTX	DET	56%	242	221	50	9	1	6	17	63	2	0	0	225	288	353	641	128	286	26	7	287	84	-5	+0	+0	+4	+5	0.5
2033	26	MLB CTX	DET	56%	250	227	51	9	1	6	18	65	3	0	0	225	288	354	643	130	286	26	7	288	84	-5	+0	+0	+4	+5	0.5
2034	27	MLB CTX	DET	55%	246	224	50	9	1	6	18	65	2	0	0	224	287	352	639	128	285	26	7	286	83	-5	+0	+0	+4	+5	0.5
2035	28	MLB CTX	DET	55%	244	223	50	9	1	6	17	65	2	0	0	222	285	347	633	125	284	27	7	284	81	-5	+0	-0	+4	+5	0.4
2036	29	MLB CTX	DET	53%	238	217	47	8	1	5	17	64	2	0	0	219	282	341	624	122	283	27	7	280	79	-6	+0	-1	+4	+5	0.3
2037	30	MLB CTX	DET	57%	251	229	50	9	1	5	18	68	2	0	0	216	279	334	612	117	281	27	7	275	76	-7	+0	-1	+4	+5	0.1
2038	31	MLB CTX	DET	60%	242	221	47	8	1	5	17	66	2	0	0	212	274	324	598	112	277	27	7	269	72	-8	+0	-2	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2267	2068	458	81	10	51	160	603	20	0	0	221	284	344	628	123	286	27	7	281	77	-55	+0	-4	+40	+49	3.1
/ 162G	—	A+C		—	650	593	132	23	3	15	46	173	6	0	0	223	286	347	633	125	287	27	7	281	77	-16	+0	-1	+12	+14	0.9
Career	—	MLE		—	4546	4146	914	161	20	103	320	1217	42	1	2	220	283	343	627	123	284	27	7	282	77	-105	+0	-7	+76	+92	5.7
/ 162G	—	MLE		—	650	593	131	23	3	15	46	174	6	0	0	221	284	346	630	125	284	27	7	282	77	-16	+0	-1	+12	+14	0.9

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKFCL Tigers · 168 PAwOBA .340 → .234 (−106)K% 21.4% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷1.000	×1.440	—	—	30.86%
BB% (unintentional) /PA	7.14%	÷1.000	×0.620	—	×0.995	4.41%
HBP% /PA	1.19%	—	×0.720	—	×0.995	0.85%
Singles /BIP	20.00%	÷1.000	×0.820	×0.950	×0.995	15.50%
Doubles /BIP	8.70%	÷1.000	×0.720	×0.950	×0.995	5.92%
Triples /BIP	0.00%	÷1.000	×0.720	×0.950	×0.995	0.00%
Home runs /BIP	6.09%	÷1.000	×0.780	—	×0.995	4.72%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .340 → .234; ISO .205 → .143; BABIP .300 → .221. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL Tigers 2 · 146 PAwOBA .347 → .237 (−111)K% 20.5% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.55%	÷0.986	×1.220	—	—	25.42%
BB% (unintentional) /PA	12.33%	÷0.973	×0.700	—	×1.008	8.94%
HBP% /PA	1.37%	—	×0.700	—	×1.008	0.97%
Singles /BIP	28.89%	÷0.995	×0.680	×0.983	×1.008	19.56%
Doubles /BIP	5.56%	÷0.951	×0.600	×0.983	×1.008	3.47%
Triples /BIP	0.00%	÷1.135	×0.600	×0.983	×1.008	0.00%
Home runs /BIP	3.33%	÷0.995	×0.470	—	×1.008	1.59%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 99, 2B 90, 3B 127, K 97, BB 95 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .347 → .237; ISO .117 → .065; BABIP .337 → .222. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rod 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
#2Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#3Scott Servais'91-'01 * career totals — 9 seasons, 2,778 PA	4.2	2,778	63	3	235*	296*	373*	+49	+0	6.5	6.9
/162	664	15	1	+11.7	+0.1	1.6	pk7: 7
#4Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.5	2,354	54	1	225	284	351	+42	+28	4.8	4.4
/162	664	15	0	+11.9	+7.9	1.3	pk7: 4
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	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)	20	—	—	—	—	212/270/312	100	285	1	0	28%	6%	65	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Joe Mack 2024 · A	21	41→44	39→55	45	43	198/267/273	75	282	8	2	31%	8%	55	-1.9	218/280/363	145	290	18	5	30%	7%	81	-0.1	220/283/384	165	281	22	4	29%	7%	86	+0.2
✕Carlos Soto 2019 · A	20	40	40→45	43→30	46	198/266/283	86	263	8	3	27%	8%	57	-1.8	200/267/297	97	281	9	4	30%	7%	61	-1.5	168/258/285	117	236	11	0	32%	10%	54	-0.8
✕Creed Willems 2023 · A	20	37→45	40→50	48→30	35	182/242/277	95	274	7	4	35%	5%	47	-2.6	193/255/332	139	255	17	3	31%	6%	65	-1.2	210/277/346	136	255	18	1	25%	7%	76	-0.3
✕Robert Lopez 2024 · A	20	41	40→45	47→45	42	199/261/293	94	286	8	4	32%	7%	57	-1.8	199/268/282	83	298	7	5	33%	8%	57	-1.8	174/254/236	62	263	5	4	33%	9%	40	-1.0
✕Carlos Rodriguez 2023 · A	20	37	39→45	47→45	49	178/272/261	83	262	6	6	32%	10%	55	-1.9	190/264/264	74	295	5	6	34%	9%	52	-2.2	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Izaac Pacheco 2023 · A	20	41→40	42→50	47→45	42	201/260/306	105	290	10	8	33%	7%	59	-1.6	187/250/307	120	297	13	5	39%	7%	57	-1.8	185/263/344	159	294	20	3	41%	9%	69	-0.6
✕Rodolfo Castro 2019 · A	20	39→42	44→55	47→50	37	198/240/315	117	272	11	5	31%	5%	54	-2.0	203/245/352	149	282	17	6	33%	5%	65	-1.2	211/274/367	156	276	20	7	30%	7%	79	-0.2
✕Yasmil Bucce 2024 · A	19	41	38→55	49→40	44	194/265/274	79	279	5	4	30%	8%	55	-2.0	199/299/306	107	308	10	4	35%	11%	76	-0.4	192/301/328	137	300	16	2	37%	12%	79	-0.1
✕Shed Long Jr. 2016 · A	20	44→50	42→50	44→50	43	216/269/322	106	282	10	6	27%	6%	66	-1.1	235/294/368	133	322	13	11	29%	7%	87	+0.4	238/300/387	148	320	15	11	29%	7%	91	+0.5
✕Yu Chang 2016 · A	20	41→47	42→50	45	38	205/254/311	106	279	10	6	30%	5%	59	-1.7	206/263/350	144	289	15	8	33%	6%	72	-0.7	217/278/367	150	284	17	4	29%	7%	81	-0.0
✕Deivy Grullón 2016 · A	20	41→45	42→55	47→30	35	202/240/301	99	280	9	2	31%	4%	51	-2.3	225/262/344	119	307	13	2	30%	5%	69	-0.9	236/277/397	161	310	22	0	31%	5%	85	+0.2
✕Rodolfo Durán 2018 · A	20	43	41→50	46→45	39	212/254/309	97	284	9	6	28%	5%	57	-1.8	212/248/354	142	283	18	3	31%	4%	66	-1.1	229/272/378	149	281	17	3	25%	5%	78	-0.2
✕Alejandro Flores 2016 · A	20	36	39→50	45→40	43	179/246/260	81	255	6	5	31%	8%	45	-2.7	204/264/306	102	299	8	6	32%	7%	61	-1.5	206/261/337	132	279	11	4	29%	6%	64	-0.6
✕Agustín Ramírez 2022 · A	20	36→46	43→55	43→55	40	184/244/295	111	273	10	4	35%	7%	51	-2.2	225/286/365	140	284	15	12	25%	7%	84	+0.1	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Angel Ortiz 2024 · A	21	40→45	39→50	47→45	40	197/244/283	86	268	6	8	28%	6%	48	-2.5	228/285/354	126	301	11	6	26%	7%	80	-0.1	227/286/370	143	294	13	8	26%	7%	82	+0.0
✕Ben Rortvedt 2018 · A	20	41	38→45	48→40	42	200/250/274	73	255	5	3	23%	5%	49	-2.4	218/274/316	98	288	8	3	26%	6%	68	-1.0	201/288/304	103	283	11	2	30%	10%	70	-0.3
✕Sammy Hernandez 2024 · A	20	37	43→40	51→50	40	188/254/301	113	262	11	5	31%	6%	57	-1.8	203/291/298	95	270	8	9	26%	9%	71	-0.8	201/300/298	97	262	9	13	24%	10%	72	-0.4
✕Ryan Mount 2007 · A	20	42	42→50	49→50	42	206/265/309	102	291	10	8	32%	7%	62	-1.4	224/270/342	118	294	12	11	27%	6%	72	-0.7	242/286/380	138	297	15	8	23%	5%	85	+0.1
✕Anthony Seigler 2019 · A	20	45→40	38→45	48→55	50	214/284/293	79	268	6	5	22%	8%	66	-1.1	196/276/274	78	288	5	5	30%	9%	59	-1.7	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Randy Florentino 2021 · A	21	42	39→45	42→45	49	199/281/287	88	284	6	6	30%	10%	64	-1.3	180/242/262	82	268	8	5	34%	7%	43	-2.8	183/231/259	76	238	8	4	26%	5%	37	-1.0

Steven Madero

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps