Wanderlin Padilla

Wanderlin PadillaIF DSL Marlins

Age 18 R/R 5'10" / 155 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION158 act + 14 ros · stats below = ROS only

showingROS

wRC+†84

AVG/OBP/SLG.167 / .286 / .167

PA14

HR0

K%21

BB%14

BABIP246

ISO101

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$32M ctrl surplus

Tools · ContractCON 68 / POW 41

Toolsscout grade

CONTACT68

scouting grade only

POWER41

scouting grade only

EYE80

scouting grade only

SPEED54

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	+0.8	$2M	+$2M
2033	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2035	Arb-1	$4M	+0.8	$2M	+$0.2M
2036	Arb-2	$6M	+0.7	$1M	+$0.0M (cut)
2037	Arb-3	$7M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$10M	+$5M

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	17	ROK	DSL Miami	—	75	54	10	1	0	0	17	9	3	3	3	185	405	204	609	19	217	12	23	313	98	-0	-1	—	—	+2	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Miami	—	75	60	9	1	0	0	11	12	3	3	3	150	311	167	477	17	173	16	15	230	42	-5	-1	—	—	+2	-0.4
2025	17	ROK MLE	DSL Miami	—	75	60	9	1	0	0	11	12	3	3	3	150	311	167	477	17	184	16	15	230	42	—	—	—	—	—	—
2025	17	ROK RAW	DSL Miami	—	75	54	10	1	0	0	17	9	3	3	3	185	405	204	609	19	217	12	23	313	42	—	—	—	—	—	—
2025	17	ROK MLE	DSL Miami	—	75	61	9	1	0	0	11	12	3	3	3	148	311	164	475	16	173	16	15	230	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Miami	—	75	61	9	1	0	0	11	12	3	3	3	148	311	164	475	16	173	16	15	230	42	—	—	—	—	—	—
YTD	18	ROK MLE	MIA	—	158	125	16	2	0	3	27	24	4	6	0	128	301	216	517	88	130	15	17	237	47	-10	+1	+0	+0	+3	-0.6
▸ 2026 season
YTD	18	ROK RAW	MIA	—	158	109	17	2	0	3	43	17	4	6	0	156	410	257	667	101	154	11	27	333	47	—	—	—	—	—	—
ROS	18	ROK MLE	MIA	0%	14	12	2	0	0	0	2	3	0	0	0	167	286	167	452		253	21	14	292	84	-0	+0	+0	+0	+0	0.0
TOT	18	ROK MLE	MIA	—	172	137	18	2	0	3	29	27	4	6	0	131	300	212	512	80	138	16	17	241	50	-10	+1	+0	+0	+4	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	MIA	34%	218	186	39	6	1	4	27	45	3	4	1	210	319	317	637	108	257	21	12	298	88	-3	+0	+0	+0	+5	0.2
2028	20	MLB MLE	MIA	48%	351	299	65	10	2	7	43	71	6	7	1	217	328	334	662	117	262	20	12	304	92	-4	+1	+0	+0	+8	0.5
2029	21	MLB MLE	MIA	54%	450	384	85	14	2	9	55	91	8	9	2	221	331	339	670	117	264	20	12	308	94	-3	+1	+0	+0	+10	0.8
2030	22	MLB MLE	MIA	57%	520	443	100	16	3	11	63	104	9	11	2	226	334	350	684	124	265	20	12	310	96	-2	+1	+0	+0	+11	1.0
2031	23	MLB MLE	MIA	58%	567	483	109	18	3	12	69	113	10	12	2	226	335	350	684	124	266	20	12	312	97	-2	+2	+0	+0	+12	1.2
2032	24	MLB MLE	MIA	57%	597	510	115	19	3	13	72	119	10	13	2	225	333	351	684	125	267	20	12	313	98	-1	+2	+0	+0	+13	1.4
2033	25	MLB MLE	MIA	57%	614	523	119	19	3	14	75	122	11	13	2	228	337	356	692	128	267	20	12	314	99	-1	+2	+0	+0	+13	1.4
2034	26	MLB MLE	MIA	57%	623	531	121	20	3	14	76	123	11	13	3	228	337	356	693	128	267	20	12	314	99	-1	+1	+0	+0	+13	1.4
2035	27	MLB MLE	MIA	55%	623	530	120	19	3	14	77	124	11	13	3	226	337	353	689	126	267	20	12	314	99	-1	+1	+0	+0	+13	1.4
2036	28	MLB MLE	MIA	55%	619	526	119	19	3	14	77	124	11	13	2	226	337	354	691	127	266	20	12	313	98	-1	+2	-1	+0	+13	1.3
2037	29	MLB MLE	MIA	53%	609	517	116	19	3	13	76	123	11	12	2	224	336	348	684	124	266	20	12	311	97	-2	+2	-1	+0	+13	1.1
2038	30	MLB MLE	MIA	53%	598	509	113	18	3	12	74	122	10	12	2	222	332	340	672	118	265	20	12	309	95	-3	+2	-2	+0	+13	0.9
2039	31	MLB MLE	MIA	57%	584	496	108	17	2	12	73	121	10	11	2	218	330	333	663	115	262	21	12	305	92	-5	+1	-3	+0	+13	0.6
2040	32	MLB MLE	MIA	54%	566	481	103	16	2	11	70	120	10	10	2	214	326	324	651	110	260	21	12	300	89	-7	+1	-4	+0	+12	0.3
2041	33	MLB MLE	MIA	58%	536	456	96	14	2	10	66	116	9	9	2	211	322	316	638	105	256	22	12	293	85	-10	+1	-4	+0	+12	-0.1
2027	19	MLB CTX	MIA	34%	75	65	13	2	0	1	9	15	1	1	0	200	307	277	584	77	251	20	12	280	88	-1	+0	+0	+0	+2	0.1
2028	20	MLB CTX	MIA	48%	170	144	31	5	1	3	21	35	3	3	1	215	327	326	654	111	255	21	12	285	92	-2	+0	+0	+0	+4	0.2
2029	21	MLB CTX	MIA	54%	244	208	45	7	1	5	30	49	4	5	1	216	326	332	658	115	257	20	12	288	94	-2	+1	+0	+0	+5	0.4
2030	22	MLB CTX	MIA	57%	294	252	55	9	1	6	35	59	5	6	1	218	325	333	659	115	258	20	12	291	96	-1	+1	+0	+0	+6	0.6
2031	23	MLB CTX	MIA	58%	326	278	61	9	2	7	39	65	6	7	1	219	328	342	670	122	259	20	12	292	97	-1	+1	+0	+0	+7	0.7
2032	24	MLB CTX	MIA	57%	340	290	64	10	2	7	41	68	6	7	1	221	329	341	671	121	260	20	12	294	98	-1	+1	+0	+0	+7	0.8
2033	25	MLB CTX	MIA	57%	348	297	65	10	2	7	42	69	6	7	1	219	328	337	664	118	260	20	12	294	99	-1	+1	+0	+0	+8	0.8
2034	26	MLB CTX	MIA	57%	353	301	66	10	2	7	43	70	6	7	1	219	329	336	664	116	260	20	12	294	99	-1	+1	+0	+0	+8	0.8
2035	27	MLB CTX	MIA	55%	346	294	65	10	2	7	43	69	6	7	1	221	332	340	672	119	260	20	12	294	99	-1	+1	+0	+0	+7	0.8
2036	28	MLB CTX	MIA	55%	340	289	64	10	2	7	42	68	6	7	1	221	332	343	675	121	259	20	12	294	98	-1	+1	-0	+0	+7	0.7
2037	29	MLB CTX	MIA	53%	326	276	60	9	1	7	41	66	6	7	1	217	331	333	665	116	259	20	13	292	97	-1	+1	-1	+0	+7	0.6
2038	30	MLB CTX	MIA	53%	315	268	57	9	1	6	39	65	5	6	1	213	324	321	645	108	258	21	12	289	95	-2	+1	-1	+0	+7	0.5
2039	31	MLB CTX	MIA	57%	330	280	59	9	1	6	41	69	6	6	1	211	324	314	638	104	256	21	12	286	92	-3	+1	-2	+0	+7	0.3
2040	32	MLB CTX	MIA	54%	308	262	55	8	1	6	38	65	5	6	1	210	321	317	638	107	253	21	12	281	89	-4	+1	-2	+0	+7	0.2
2041	33	MLB CTX	MIA	58%	310	264	54	8	1	5	38	67	5	5	1	205	316	299	615	95	250	22	12	275	85	-6	+1	-2	+0	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4425	3768	814	125	20	87	542	899	76	87	14	216	326	329	656	113	259	20	12	289	95	-26	+12	-8	+0	+96	7.5
/ 162G	—	A+C		—	650	553	119	18	3	13	80	132	11	13	2	215	326	329	655	114	257	20	12	289	95	-4	+2	-1	+0	+14	1.1
Career	—	MLE		—	8164	6946	1539	245	38	170	1006	1653	143	165	33	222	332	341	673	120	265	20	12	308	95	-48	+20	-15	+0	+175	13.5
/ 162G	—	MLE		—	650	553	123	20	3	14	80	132	11	13	3	222	332	345	677	123	266	20	12	308	95	-4	+2	-1	+0	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Aaron Hickslast yr '24 career totals — 12 seasons, 3,651 PA	5.5	3,651	109	71	231	330	383	+7	-9	11.8	12.4
/162	664	20	13	+1.3	-1.6	2.1	pk7: 13
#2Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#3Logan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.8	4,519	94	91	223	329	344	+0	+0	10.8	8.8
/162	664	14	13	+0.0	+0.0	1.6	pk7: 7
#4Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
#5Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#6Tony 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

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
Wanderlin Padilla (OGILVIE)	18	63→68	36→41	49→54	80	206/321/301	96	253	1	2	20%	13%	84	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Jackson Holliday 2023 · A	19	50→60	41→50	49→50	58	237/329/342	104	299	8	10	22%	12%	94	+0.9	248/333/382	134	332	12	14	26%	11%	104	+1.6	244/329/380	136	317	13	15	25%	11%	100	+1.3
●Andrés Giménez 2017 · A	18	52→60	40→50	48→55	57	247/331/355	109	280	6	11	14%	10%	98	+1.2	235/295/332	97	297	6	18	22%	5%	79	-0.2	260/325/413	154	312	16	25	21%	5%	105	+1.5
✕Osleivis Basabe 2019 · A	18	51→61	38→45	49→50	48	238/291/324	86	288	3	12	18%	7%	74	-0.5	234/279/310	76	290	3	12	19%	5%	66	-1.1	270/316/373	102	329	4	17	18%	5%	92	+0.5
✕Rubén Tejada 2008 · A	18	50→60	38→40	51→50	50	237/313/315	78	287	5	13	18%	8%	82	-0.0	227/281/295	68	274	3	9	17%	6%	65	-1.2	245/328/327	82	296	5	2	17%	9%	81	-0.0
✕Alexander Albertus 2023 · A	18	50	36→45	55→45	57	230/329/297	67	301	2	9	22%	12%	84	+0.2	231/325/325	94	288	8	10	21%	11%	89	+0.5	229/319/329	99	290	10	8	22%	11%	86	+0.1
✕Jose Tabata 2007 · A	18	52→61	40→45	51→55	43	249/302/344	96	311	7	16	22%	6%	84	+0.2	258/307/344	86	320	6	14	20%	5%	86	+0.3	278/334/376	98	321	6	26	14%	7%	101	+1.2
●Josue De Paula 2023 · A	18	51	43→50	50→55	51	244/315/357	114	300	9	14	21%	9%	92	+0.7	228/318/325	97	308	8	17	26%	11%	86	+0.3	228/320/369	141	283	16	24	24%	11%	94	+0.8
✕Hendry Mendez 2022 · A	18	49→56	39→45	51→45	51	232/296/328	96	272	5	7	16%	8%	78	-0.3	222/288/298	76	282	5	5	21%	8%	68	-1.0	258/330/364	106	310	10	6	19%	9%	97	+0.8
✕Ronald Torreyes 2011 · A	18	56→57	42→45	52→50	47	264/313/387	124	280	6	14	9%	4%	98	+1.2	263/306/357	94	284	5	11	9%	4%	88	+0.4	261/304/347	86	281	4	9	8%	4%	82	+0.0
✕Luis Santana 2018 · A	19	52	39→45	54→50	50	243/311/343	100	274	5	11	13%	7%	87	+0.4	246/316/336	90	288	6	9	16%	7%	88	+0.4	234/303/348	114	293	12	10	23%	6%	83	+0.0
✕Orlando Arcia 2013 · A	18	46→56	43→50	49→55	50	222/282/333	110	247	10	11	15%	7%	74	-0.5	240/282/329	89	279	5	16	15%	5%	72	-0.7	243/304/399	156	273	20	3	19%	8%	96	+0.7
✕Angel Genao 2022 · A	18	45→55	37→45	59→50	55	210/300/285	75	272	4	16	22%	11%	70	-0.8	230/288/322	92	306	6	11	25%	7%	74	-0.6	262/318/385	123	318	10	13	20%	7%	97	+0.9
●Moisés Ballesteros 2022 · A	18	45→55	40→50	50→40	52	216/294/311	95	269	7	8	22%	9%	74	-0.5	225/287/355	130	281	15	4	24%	8%	81	-0.1	255/314/382	127	304	14	3	20%	7%	96	+0.9
✕Carlos Sanchez 2023 · A	18	54→52	38→40	51→50	55	249/339/328	79	329	6	15	24%	11%	95	+0.9	210/307/287	77	354	4	12	36%	12%	74	-0.6	211/298/307	96	339	8	14	36%	11%	71	-0.6
✕Jesus Morelli 2009 · A	19	49	42→45	48→50	49	234/311/346	112	300	9	12	24%	8%	88	+0.5	220/282/290	70	304	4	10	27%	6%	64	-1.3	219/279/260	41	287	0	14	22%	6%	53	-0.5
✕Aron Estrada 2023 · A	18	54→53	44→45	47→55	51	257/334/386	129	322	9	7	22%	9%	105	+1.7	237/303/349	112	298	9	18	22%	7%	86	+0.3	246/293/372	126	299	14	21	22%	5%	85	+0.2
✕Dilson Herrera 2012 · A	18	46→56	39→50	50	47	218/290/315	98	283	4	13	23%	7%	74	-0.6	226/277/349	123	297	11	12	27%	6%	76	-0.4	254/305/388	134	310	14	13	22%	6%	92	+0.7
✕Nacho Alvarez Jr. 2023 · A	20	50→52	39→40	54→50	56	234/323/325	91	290	6	14	20%	11%	88	+0.4	239/315/327	88	307	7	14	23%	8%	86	+0.3	239/316/323	84	307	7	14	23%	8%	82	+0.0
✕Eduard Pinto 2013 · A	18	58	36→40	44→50	53	272/332/341	69	298	3	8	10%	7%	94	+0.9	235/280/300	65	269	2	5	13%	5%	65	-1.2	269/305/354	85	298	6	10	12%	4%	84	+0.1
✕Jaison Chourio 2023 · A	18	47→51	38→40	54→55	58	220/315/307	86	277	4	15	20%	12%	81	-0.1	224/315/307	83	317	4	21	27%	12%	81	-0.1	223/313/312	89	304	7	28	26%	11%	80	-0.1

Career Stats + Projections

Career Comps

Career Path Comps