Leonardo Pineda

OF FCL Rays

Age 20 R/R 5'11" / 185 lbs ROK HR -6%H +4% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Tampa Bay	196	.253/.379/.364	2	12	39	—	.158/.262/.222
2025	18	ROK/INTL2 orgs	299	.229/.341/.308	3	9	60	—	.122/.228/.144
2026	19	ROKTB	106	.169/.396/.299	2	4	43	—	.126/.283/.230
2027PROJMLE	20	MLBTB	216	.183/.266/.256	2	4	50	-0.2
2028PROJ34% MLB	21	MLBTB	38	.191/.274/.276	0	1	57	-0.1

Next 2 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.0M2031Ext$0.0M2032Ext$0.0M2033Ext$0.9M2034Ext$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

BB%93

Speed63

ISO57

wRC+47

wOBA42

K%32

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsSteven Mateo (age 20) · Adalfi Almonte (age 20) · Ismael Alcantara (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 56 proj PA

wRC+†50

AVG/OBP/SLG.181 / .264 / .253

PA56

HR0

K%29

BB%9

ISO73

MLB%0%

Value2027 · 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 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	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
2038	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. 2027 = full-season projection (no games played yet). 2028+ 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	39	—	—	—	—	—	—
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	9	—	—	—	—	—	—
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	—	—	—	—	—	—
2026	19	ROK	FCL Rays	—	106	77	13	2	1	2	26	27	3	4	1	169	396	299	695	130	229	25	25	339	43	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tampa Bay	—	196	171	27	6	1	1	22	54	2	12	4	158	262	222	484	64	222	28	11	226	39	—	—	—	—	—	—
2025	18	ROK MLE	FCL Rays	—	161	139	17	3	0	0	14	69	5	5	3	122	228	144	372	22	226	43	9	181	9	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	106	87	11	1	1	2	16	39	3	4	1	126	283	230	513	103	185	37	15	232	43	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tampa Bay	—	196	171	27	6	1	1	22	54	2	12	4	158	262	222	484	64	222	28	11	226	39	—	—	—	—	—	—
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	39	—	—	—	—	—	—
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	181	9	—	—	—	—	—	—
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	9	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	106	87	11	1	1	2	16	39	3	4	1	126	283	230	513	103	196	37	15	232	43	—	—	—	—	—	—
2026	19	ROK RAW	FCL Rays	—	106	77	13	2	1	2	26	27	3	4	1	169	396	299	695	130	229	25	25	339	43	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tampa Bay	—	196	170	27	6	1	1	22	54	2	12	4	159	262	224	485	65	222	28	11	226	39	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	299	266	32	6	0	0	26	128	5	9	6	120	213	143	356	23	226	43	9	181	9	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	106	86	11	1	1	2	16	39	3	4	1	128	283	233	516	105	185	37	15	232	43	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Tampa Bay	—	196	170	27	6	1	1	22	54	2	12	4	159	262	224	485	65	222	28	11	226	39	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	299	266	32	6	0	0	26	128	5	9	6	120	213	143	356	23	226	43	9	181	9	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	106	86	11	1	1	2	16	39	3	4	1	128	283	233	516	105	185	37	15	232	43	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TB	0%	216	192	36	7	1	2	19	62	3	4	1	183	266	256	521	73	257	29	9	243	50	-13	+0	+0	-1	+5	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TB	34%	110	98	18	3	1	1	10	31	1	2	1	189	272	275	547	85	260	28	9	253	57	-6	+0	+0	-1	+2	-0.4
2028	21	MLB CTX	TB	34%	38	35	6	1	0	0	3	11	0	1	0	191	274	276	550	84	263	29	8	254	57	-2	+0	+0	-0	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	38	35	6	1	0	0	3	11	0	1	0	171	237	200	437	29	250	29	8	254	31	-2	+0	+0	-0	+1	-0.1
/ 162G	—	A+C		—	650	599	103	17	0	0	51	188	0	17	0	172	237	200	437	28	251	29	8	254	31	-33	+3	+0	-4	+14	-2.0
Career	—	MLE		—	767	671	97	18	3	4	79	268	12	28	12	145	247	198	445	54	231	35	10	214	31	-9	+0	+0	-1	+4	-0.6
/ 162G	—	MLE		—	650	569	82	15	3	3	67	227	10	24	10	144	246	197	443	53	231	35	10	214	31	-35	+1	+0	-4	+14	-2.4

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 Rays · 106 PAwOBA .332 → .232 (−101)K% 25.5% → 36.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.47%	÷1.000	×1.440	—	—	36.68%
BB% (unintentional) /PA	24.53%	÷1.000	×0.620	—	×1.008	15.32%
HBP% /PA	2.83%	—	×0.720	—	×1.008	2.05%
Singles /BIP	16.00%	÷1.000	×0.820	×1.020	×1.008	13.48%
Doubles /BIP	4.00%	÷1.000	×0.720	×1.020	×1.008	2.96%
Triples /BIP	2.00%	÷1.000	×0.720	×1.020	×1.008	1.48%
Home runs /BIP	4.00%	÷1.000	×0.780	—	×1.008	3.14%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .332 → .232; ISO .130 → .097; BABIP .229 → .185. 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).

2025 ROKFCL Rays · 161 PAwOBA .262 → .181 (−81)K% 29.2% → 42.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.19%	÷0.985	×1.440	—	—	42.68%
BB% (unintentional) /PA	13.66%	÷0.991	×0.620	—	×1.022	8.74%
HBP% /PA	3.11%	—	×0.720	—	×1.022	2.29%
Singles /BIP	22.62%	÷1.018	×0.820	×1.015	×1.022	18.90%
Doubles /BIP	5.95%	÷1.026	×0.720	×1.015	×1.022	4.33%
Triples /BIP	0.00%	÷1.150	×0.720	×1.015	×1.022	0.00%
Home runs /BIP	0.00%	÷0.809	×0.780	—	×1.022	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 62, 1B 104, 2B 105, 3B 130, K 97, BB 98 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .262 → .181; ISO .038 → .025; BABIP .279 → .226. 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 Tampa Bay · 196 PAwOBA .336 → .226 (−110)K% 21.9% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.94%	÷0.975	×1.220	—	—	27.46%
BB% (unintentional) /PA	15.82%	÷1.011	×0.700	—	×1.022	11.20%
HBP% /PA	1.02%	—	×0.700	—	×1.022	0.73%
Singles /BIP	23.53%	÷0.963	×0.680	×0.965	×1.022	16.40%
Doubles /BIP	8.40%	÷0.945	×0.600	×0.965	×1.022	5.27%
Triples /BIP	0.84%	÷0.900	×0.600	×0.965	×1.022	0.55%
Home runs /BIP	1.68%	÷0.982	×0.470	—	×1.022	0.82%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 93, 2B 89, 3B 80, K 95, BB 102 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .336 → .226; ISO .111 → .065; BABIP .331 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

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)	20	20	20	45	50	181/264/253	72	257	0	1	29%	9%	50	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Steven Mateo 2013 · A	20	38	35→30	45→50	47	180/265/239	59	261	3	6	30%	9%	47	-2.5	196/279/265	69	283	3	8	28%	10%	58	-1.7	192/270/254	63	279	2	6	29%	9%	49	-0.9
✕Adalfi Almonte 2016 · A	20	37	36→30	44→50	53	174/281/241	67	234	3	11	25%	10%	55	-1.9	195/296/266	71	282	4	12	29%	10%	66	-1.1	148/299/193	45	231	3	23	31%	13%	52	-0.4
✕Ismael Alcantara 2019 · A	20	36→30	38→45	50	43	177/250/254	77	257	5	13	32%	7%	45	-2.7	207/272/309	102	322	8	15	36%	7%	65	-1.2	191/253/307	116	283	12	16	35%	6%	55	-0.9
✕Luis Gomez 2006 · A	20	38	36→30	46→45	47	183/260/244	61	261	3	9	29%	9%	46	-2.6	190/245/244	54	251	2	7	23%	6%	39	-3.1	202/252/249	46	268	0	9	23%	5%	41	-1.4
✕Stanley Martinez 2017 · A	20	37	36→40	48→50	49	177/259/243	66	236	3	10	25%	9%	46	-2.6	201/272/288	87	266	7	7	25%	7%	61	-1.5	191/264/271	80	248	7	5	24%	7%	53	-0.7
✕Enger Castellano 2023 · A	20	31	36→30	45→50	48	153/254/220	67	236	3	9	33%	10%	40	-3.0	185/251/259	74	282	4	10	33%	7%	46	-2.6	167/193/220	53	254	3	13	34%	2%	11	-0.9
✕Ricardo Rosario 2023 · A	20	39	36→40	50→55	44	186/249/258	71	249	3	12	26%	7%	45	-2.7	204/271/288	84	283	7	19	28%	7%	60	-1.6	202/282/289	86	263	10	29	26%	8%	63	-0.7
✕Misael Urbina 2022 · A	20	37→32	39→40	51→50	49	180/260/269	89	230	6	13	24%	8%	53	-2.1	179/254/271	92	260	6	10	31%	8%	50	-2.3	166/253/247	81	240	5	8	30%	10%	42	-1.7
✕Dennys Riera 2024 · A	19	31	36→40	48→50	42	157/222/222	65	212	4	6	27%	6%	27	-4.0	171/249/237	66	229	3	7	25%	6%	41	-3.0	156/245/214	58	204	3	7	23%	6%	36	-0.9
✕Luis Sanchez 2008 · A	21	37	36→30	45→40	45	179/256/239	60	261	4	7	31%	8%	44	-2.8	203/263/257	54	283	2	4	27%	7%	49	-2.4	198/256/242	45	274	1	2	26%	7%	41	-1.4
✕Kenny Hart 2010 · A	20	39	36→40	48→50	45	186/264/252	67	256	3	6	27%	7%	50	-2.3	191/282/272	81	245	5	11	23%	8%	61	-1.5	167/274/245	79	204	6	15	20%	8%	53	-0.6
✕Eduardo Urbina 2008 · A	20	38	35→30	44→50	45	180/246/236	56	237	3	8	24%	7%	39	-3.1	194/267/260	66	258	4	8	24%	7%	53	-2.1	163/252/206	43	209	3	7	22%	8%	36	-1.0
✕Jesus Rojas 2006 · A	20	38	35→30	45	46	179/243/232	53	230	3	7	22%	7%	36	-3.3	209/277/287	78	265	6	5	22%	8%	62	-1.4	215/288/295	80	268	7	3	21%	9%	68	-0.4
✕Luis Rubio 2022 · A	20	37	34→30	44→45	43	175/249/228	53	281	2	7	36%	9%	38	-3.2	183/251/238	55	283	2	8	33%	8%	41	-3.0	157/234/187	30	233	0	8	30%	8%	21	-1.0
✕Miguel Moreno 2009 · A	19	36	37→30	42→40	52	171/273/237	65	238	5	5	28%	11%	51	-2.2	189/277/252	63	258	4	5	25%	10%	55	-2.0	153/253/179	26	205	2	3	23%	11%	28	-1.2
✕Victor Duarte 2022 · A	21	38	38→30	48→45	42	185/249/264	79	253	5	7	28%	6%	47	-2.6	199/274/279	80	289	6	6	31%	7%	59	-1.6	182/251/245	63	250	5	11	28%	7%	41	-0.8
✕Willy Diaz 2015 · A	21	33	35→40	45→40	50	160/258/217	57	223	3	5	27%	10%	41	-3.0	176/256/247	71	278	4	4	35%	8%	46	-2.6	168/246/241	74	269	4	2	36%	8%	39	-1.1
✕Miguel Alfonzo 2007 · A	19	35	35→40	46→50	44	169/241/227	58	243	3	9	30%	8%	35	-3.4	198/272/274	76	309	6	10	35%	7%	58	-1.7	196/275/270	74	322	7	9	38%	7%	56	-0.8
✕Carlos Pacheco 2019 · A	20	33	38→40	45→50	42	164/238/238	74	255	6	9	36%	8%	36	-3.3	186/243/271	85	320	7	9	41%	7%	45	-2.7	155/211/244	89	272	9	10	44%	6%	26	-1.3
✕Richard Rodriguez 2012 · A	19	38	35→30	48→50	47	182/254/242	60	245	3	12	26%	8%	43	-2.8	189/250/229	40	228	1	14	16%	7%	38	-3.2	191/256/205	14	227	0	12	15%	8%	33	-1.1