Leonardo Pineda — OGILVIE

Leonardo PinedaOF FCL Rays

Age 19 R/R 5'11" / 185 lbs ROK HR +6%H +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION106 act + 12 ros · stats below = ROS only

showingROS

wRC+†51

AVG/OBP/SLG.091 / .167 / .091

PA12

HR0

K%33

BB%8

BABIP256

ISO72

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 20 / POW 20

Toolsscout grade

CONTACT20

scouting grade only

POWER20

scouting grade only

EYE50

scouting grade only

SPEED45

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	Ext	beyond projection horizon · no WAR estimate
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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)
2024	17	ROK	DSL Tampa Bay	—	196	162	41	10	1	2	31	43	2	12	4	253	379	364	744	111	331	22	16	342	118	+4	+1	—	—	+4	0.9
2025	18	ROK	FCL Rays	—	161	131	24	5	0	0	22	47	5	5	3	183	323	221	544	38	279	29	14	265	65	-7	-0	—	—	+3	-0.3
2025	18	INTL	Perth Heat	—	138	122	34	6	0	3	16	35	0	4	3	279	362	402	764	123	369	25	12	346	120	+3	-0	—	—	+3	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tampa Bay	—	196	174	31	7	1	1	19	64	2	12	4	178	267	247	514	69	263	33	10	236	46	-13	+1	—	—	+4	-0.8
2025	18	ROK MLE	FCL Rays	—	161	139	17	3	0	0	14	69	5	5	3	122	228	144	372	22	221	43	9	178	7	-18	-0	—	—	+3	-1.5
2024	17	ROK MLE	DSL Tampa Bay	—	196	174	31	7	1	1	19	64	2	12	4	178	267	247	514	69	273	33	10	236	46	—	—	—	—	—	—
2024	17	ROK RAW	DSL Tampa Bay	—	196	162	41	10	1	2	31	43	2	12	4	253	379	364	744	111	331	22	16	342	46	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	299	265	32	6	0	0	26	128	5	9	6	121	213	143	356	23	230	43	9	178	7	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	299	253	58	11	0	3	38	82	5	9	6	229	341	308	650	79	324	27	13	302	7	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tampa Bay	—	196	173	31	7	1	1	19	64	2	12	4	179	267	249	515	69	263	33	10	236	46	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	299	266	32	6	0	0	26	128	5	9	6	120	213	143	356	23	221	43	9	178	7	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Tampa Bay	—	196	173	31	7	1	1	19	64	2	12	4	179	267	249	515	69	263	33	10	236	46	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	299	266	32	6	0	0	26	128	5	9	6	120	213	143	356	23	221	43	9	178	7	—	—	—	—	—	—
YTD	19	ROK MLE	TB	—	106	87	11	1	1	2	16	39	3	4	1	126	283	230	513	103	196	37	15	230	42	-7	+0	+0	-1	+2	-0.5
▸ 2026 season
YTD	19	ROK RAW	TB	—	106	77	13	2	1	2	26	27	3	4	1	169	396	299	695	130	229	25	25	339	42	—	—	—	—	—	—
ROS	19	ROK MLE	TB	0%	12	11	1	0	0	0	1	4	0	0	0	91	167	91	258		248	33	8	244	51	-1	+0	+0	-0	+0	-0.1
TOT	19	ROK MLE	TB	—	118	98	12	1	1	2	17	43	3	4	1	122	271	214	485	92	189	36	14	231	43	-8	+0	+0	-1	+3	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	TB	34%	220	193	36	7	1	3	22	63	3	4	1	187	280	280	560	93	254	29	10	256	60	-11	+0	+0	-1	+5	-0.7
2027	20	MLB CTX	TB	34%	76	68	12	2	0	1	7	22	1	1	0	176	263	250	513	74	262	29	9	252	60	-4	+0	+0	-0	+2	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	76	68	12	2	0	1	7	22	1	1	0	176	263	250	513	74	244	29	9	252	34	-4	+0	+0	-0	+2	-0.2
/ 162G	—	A+C		—	650	582	103	17	0	9	60	188	9	9	0	177	265	253	517	76	244	29	9	252	34	-31	+2	+0	-4	+14	-2.0
Career	—	MLE		—	727	643	100	20	2	4	68	259	10	25	11	156	247	212	458	56	250	36	9	218	34	-11	+0	+0	-1	+5	-0.7
/ 162G	—	MLE		—	650	575	90	18	2	4	61	232	9	22	10	157	248	216	464	59	251	36	9	218	34	-32	+1	+0	-4	+14	-2.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.3	210	2	3	186	267	265	-1	+0	-0.7	-0.3
/162	664	6	11	-4.0	+0.0	-2.1	pk7: 0
#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
Leonardo Pineda (OGILVIE)	19	20	20	45	50	173/266/248	76	248	1	3	30%	10%	51	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Ubiera 2016 · A	19	39	34→30	43→50	43	184/257/236	51	267	2	9	29%	7%	43	-2.8	187/256/240	53	255	1	9	25%	7%	43	-2.8	169/245/206	37	226	0	10	23%	7%	30	-1.1
✕Cesar Guillen 2008 · A	19	39	35→40	44→50	49	186/261/244	57	247	3	11	24%	8%	47	-2.6	233/287/312	79	272	4	13	15%	6%	71	-0.8	246/294/334	89	278	6	14	13%	6%	78	-0.1
✕Jose Sanabria 2022 · A	19	39	36→30	44→50	42	183/260/245	62	273	3	10	32%	7%	47	-2.5	202/275/260	58	305	3	10	31%	8%	55	-1.9	194/267/240	47	293	2	11	32%	9%	46	-1.2
✕Roimer Bolivar 2019 · A	19	39	35→30	45→50	41	188/255/241	53	258	4	12	27%	6%	44	-2.8	208/291/287	79	289	5	12	27%	8%	68	-1.0	192/293/280	88	280	6	14	30%	9%	67	-0.3
✕Yan Olmo 2010 · A	19	39	35→30	46→55	38	186/243/245	60	251	2	9	26%	4%	40	-3.1	204/262/267	63	269	4	13	25%	5%	51	-2.2	204/264/252	48	262	5	18	23%	5%	46	-0.8
✕Jhonny Gomez 2009 · A	19	40	35→30	41→40	48	190/268/248	58	261	3	7	27%	9%	50	-2.3	217/287/275	58	285	3	6	23%	8%	63	-1.4	224/293/270	46	289	2	4	21%	7%	62	-0.6
✕Eduardo Urbina 2007 · A	19	38	35→40	42→50	39	184/237/242	57	259	4	7	29%	5%	36	-3.4	204/271/275	71	283	5	8	28%	7%	57	-1.8	202/277/268	66	276	5	9	26%	7%	58	-0.7
✕Edwin Fuentes 2014 · A	19	41	33→30	49→50	47	191/258/236	45	249	1	10	23%	7%	43	-2.8	184/233/247	63	239	3	7	23%	5%	36	-3.4	143/181/197	54	175	3	3	20%	3%	5	-1.6
✕Luis Hernandez 2018 · A	19	39	33→30	42→50	47	182/272/225	43	263	1	7	28%	9%	47	-2.5	191/258/243	52	265	2	8	26%	7%	45	-2.7	170/232/194	24	228	0	10	24%	6%	22	-1.7
✕Luis Carlos Diaz 2018 · A	18	36	34→30	41→45	53	167/267/218	51	215	1	7	21%	10%	45	-2.7	191/282/256	65	248	3	7	22%	10%	58	-1.7	173/283/223	51	216	2	5	19%	12%	52	-0.9
✕Oswill Lartiguez 2012 · A	19	41	34→30	45→50	46	193/262/247	54	254	2	12	24%	7%	47	-2.5	203/252/263	60	272	2	9	25%	6%	46	-2.6	220/237/267	48	291	0	10	24%	2%	38	-0.6
✕Estarlyn Morales 2012 · A	19	39→40	36→40	44→50	47	185/252/254	69	236	4	7	22%	7%	45	-2.7	200/259/287	87	252	7	10	22%	7%	55	-2.0	199/257/294	95	251	8	13	23%	7%	55	-0.8
✕Warling Vicente 2018 · A	19	41	35→30	45→55	45	193/267/250	58	282	2	12	30%	8%	50	-2.3	200/267/257	57	318	2	13	34%	7%	51	-2.3	207/267/252	46	328	0	19	34%	5%	48	-1.1
✕Jose Cabello 2016 · A	19	38	34→30	44→45	43	180/243/231	51	244	2	4	26%	6%	36	-3.3	203/281/264	61	261	3	6	21%	8%	59	-1.7	205/287/242	38	250	0	5	16%	8%	55	-0.7
✕Angelberth Montilla 2008 · A	19	37	34→30	44→55	42	174/251/230	56	259	1	10	31%	7%	40	-3.1	199/254/263	64	268	3	16	25%	6%	47	-2.5	200/250/259	58	264	3	20	24%	5%	43	-1.0
✕Yeuris Ramirez 2018 · A	19	36	37→40	46→50	43	170/272/245	75	268	5	9	35%	8%	53	-2.1	177/263/273	96	284	8	9	38%	7%	55	-1.9	147/225/231	84	286	8	19	48%	6%	29	-1.2
✕Romer Cuadrado 2017 · A	19	38→35	39→40	45	41	185/253/265	81	284	6	8	35%	8%	48	-2.5	202/259/295	93	321	8	7	37%	6%	57	-1.8	197/252/288	92	310	8	5	37%	6%	50	-1.6
✕Antonio Tovar 2015 · A	19	42	34→30	47→45	51	195/277/250	55	259	1	11	23%	10%	54	-2.0	211/271/275	64	268	4	9	21%	7%	56	-1.9	211/265/267	56	261	4	8	20%	6%	49	-0.9
✕Miguel Alfonzo 2007 · A	19	37	36→40	46→50	41	176/244/239	63	271	3	9	34%	7%	38	-3.2	198/270/274	76	314	6	10	36%	7%	57	-1.8	192/269/265	73	315	7	9	38%	7%	53	-0.9
✕Joshua Magee 2011 · A	19	40	36→30	47→55	40	192/236/254	62	259	3	9	27%	5%	38	-3.2	208/256/278	70	278	4	14	25%	5%	51	-2.2	215/265/273	58	282	4	20	24%	5%	53	-0.7

Career Stats + Projections

Career Comps

Career Path Comps