Luis Maracara

P Lake Elsinore Storm

Age 19 RHP 6'0" / 175 lbs A peak 0.1 · 2028

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	16	ROKDSL Padres Go…	11	10	45	3.18	2.44	27.1%	8.3%	—	K 18.4% · BB 10.4% · FIP 3.75
2025	17	ROKSD	12	4	32	9.19	4.15	25.2%	18.4%	—	K 17.1% · BB 23.0% · FIP 5.50
2026	18	MIX2 levels	17	15	45	6.75	4.73	28.2%	12.0%	—	K 20.2% · BB 14.3% · FIP 6.40
2027PROJ	19	MLBSD	—	—	0	5.37	5.37	20.9%	15.2%	—
2028PROJ49% MLB	20	MLBSD	3	3	17	5.13	5.03	21.5%	13.3%	0.1

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.2 / P90 2.9, comp-based) · star 1% · didn't stick 87%

CompsJharold Clemente (age 20) · Daniel Corniel (age 19) · Moises Castillo (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 135127vR 119

ERA5.37

FIP5.37

K%20.9%

BB%15.2%

K-BB%5.6%

Proj IP25

Value2027 · WAR

Runs saved vs league avg · 25 IP

Grades · Contract

Scouting Grades

K†5050

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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 WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2024	16	ROK MLE	DSL Padres Gold	11	10	45	192	52	16	2	91%	4.1	18.4%	10.4%	8.0%	1.6%	3.18	3.75	—
2024	16	ROK MLE	DSL Padres Gold	11	10	45	192	52	16	2	91%	4.1	18.4%	10.4%	8.0%	1.6%	3.18	3.75	—
2024	16	ROK RAW	DSL Padres Gold	11	10	45	192	52	16	2	91%	4.1	27.1%	8.3%	18.8%	1.0%	3.18	2.44	—
2025	17	ROK MLE	ACL Padres	12	4	32	163	41	30	2	33%	2.7	17.1%	23.0%	-5.9%	1.7%	9.19	5.50	—
2025	17	ROK MLE	ACL Padres	12	4	32	163	41	30	2	33%	2.7	17.1%	23.0%	-5.9%	1.7%	9.19	5.50	—
2025	17	ROK RAW	ACL Padres	12	4	32	163	41	30	2	33%	2.7	25.2%	18.4%	6.7%	1.2%	9.19	4.15	—
2026	18	MIX MLE	2 levels	17	15	45	209	59	25	9	88%	2.7	20.2%	14.3%	5.9%	5.8%	6.75	6.40	—
2026	18	MIX MLE	2 levels	17	15	45	209	59	25	9	88%	2.7	20.2%	14.3%	5.9%	5.8%	6.75	6.40	—
2026	18	MIX RAW	2 levels	17	15	45	209	59	25	9	88%	2.7	28.2%	12.0%	16.3%	4.3%	6.75	4.73	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	19	MLB	SD	—	—	0	—	—	—	—	—	—	20.9%	15.2%	5.6%	3.1%	5.37	5.37	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	20	MLB MLE	SD	6	6	36	150	32	20	5	100%	5.9	21.5%	13.3%	8.2%	3.1%	5.13	5.03	+0.2
2028	20	MLB CTX	SD	3	3	17	72	15	10	2	100%	5.7	21.5%	13.3%	8.2%	3.1%	5.13	5.03	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		4	4	17	74	16	10	2	100%	4.4	21.5%	13.3%	8.2%	3.1%	5.13	4.65	+0.2
/ 200 IP	—	RAW		43	43	200	844	183	115	23	100%	4.6	21.5%	13.3%	8.2%	3.1%	5.13	4.65	+1.7
Career	—	MLE		40	29	123	564	106	87	18	72%	3.1	18.7%	15.5%	3.2%	3.2%	6.07	5.24	+0.2
/ 200 IP	—	MLE		65	47	200	917	172	142	29	73%	3.1	18.7%	15.5%	3.2%	3.2%	6.07	5.24	+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 ALake Elsinore Storm · 29 IPFIP 4.37 → 5.80 (+1.43)K% 27.1% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.07%	—	×0.740	20.03%
BB% (unintentional) /BF	15.04%	—	×1.180	17.74%
HR / BF /BF	3.01%	÷1.000	×1.300	3.91%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 4.37 → 5.80, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2026 ROKACL Padres · 17 IPFIP 4.99 → 7.46 (+2.47)K% 30.3% → 20.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.26%	—	×0.680	20.58%
BB% (unintentional) /BF	6.58%	—	×1.250	8.22%
HR / BF /BF	6.58%	÷1.000	×1.400	9.21%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 4.99 → 7.46, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 ROKACL Padres · 32 IPFIP 3.98 → 5.50 (+1.52)K% 25.2% → 17.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.15%	—	×0.680	17.10%
BB% (unintentional) /BF	18.40%	—	×1.250	23.01%
HR / BF /BF	1.23%	÷1.018	×1.400	1.69%

Result: FIP 3.98 → 5.50, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ROKDSL Padres Gold · 45 IPFIP 2.44 → 3.75 (+1.31)K% 27.1% → 18.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.08%	—	×0.680	18.42%
BB% (unintentional) /BF	8.33%	—	×1.250	10.42%
HR / BF /BF	1.04%	÷0.909	×1.400	1.61%

Result: FIP 2.44 → 3.75, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Luis Maracara (OGILVIE)	—	—	5.37	20.9%	15.2%	3.1%	—	5.03	21.5%	8.2%	36	-0.34	—	—	—
Jharold Clemente R 2023 · 4.97 FIP	20	SP	4.97	17.5%	13.6%	3.0%	.258	5.11	13.3%	4.3%	92	+0.14	4.09	116	85
Daniel Corniel R 2023 · 5.15 FIP	19	SP-	5.15	20.3%	17.1%	2.9%	.364	4.37	15.7%	3.2%	140	-0.78	3.50	218	85
Moises Castillo R 2024 · 4.58 FIP	19	SP-	4.58	18.1%	11.7%	2.8%	.269	4.06	19.4%	4.9%	67	-0.52	3.76	104	85
Reibyn Corona R 2021 · 5.02 FIP	19	SP-	5.02	17.0%	13.1%	3.1%	.290	5.53	14.5%	1.7%	63	+0.51	4.48	190	85
Adam Bates R 2024 · 5.12 FIP	18	SP-	5.12	16.2%	14.1%	2.9%	.358	6.39	13.0%	-7.2%	146	+1.27	5.12	183	82
Bryan Polanco R 2022 · 5.18 FIP	20	SP-	5.18	18.2%	14.3%	3.3%	.248	5.58	13.0%	1.2%	243	+0.40	5.18	374	82
Janser Lara R 2016 · 5.61 FIP	19	SP-	5.61	20.1%	17.3%	3.7%	.354	5.04	17.9%	4.8%	118	-0.57	2.84	220	82
Junior Mieses R 2019 · 4.87 FIP	19	SP-	4.87	19.9%	19.2%	1.9%	.296	6.10	18.9%	-1.2%	134	+1.23	4.87	236	81
Gabe Bierman R 2021 · 4.80 FIP	21	SP-	4.80	21.3%	11.8%	3.6%	.277	4.51	16.2%	4.0%	187	-0.29	4.03	328	81
Tahnaj Thomas R 2018 · 5.06 FIP	19	SP-	5.06	23.0%	15.6%	3.5%	.268	6.04	17.0%	2.7%	61	+0.98	3.81	214	81
Lisandro Almonte R 2021 · 4.89 FIP	19	SP-	4.89	16.3%	16.4%	2.0%	.298	4.93	19.6%	4.9%	78	+0.04	3.81	128	81
Biembenido Brito R 2022 · 4.64 FIP	19	SP	4.64	24.7%	18.5%	2.3%	.301	5.37	18.7%	-1.3%	91	+0.73	3.58	130	80
Edgar Isea R 2022 · 5.51 FIP	19	SP-	5.51	19.3%	20.3%	2.7%	.371	5.19	21.4%	-4.1%	98	-0.32	4.50	162	80
Eddy Peralta R 2023 · 4.65 FIP	20	SP-	4.65	22.0%	19.8%	1.6%	.342	3.96	21.0%	1.7%	86	-0.69	3.73	117	80
Luis Hernandez R 2022 · 4.94 FIP	21	SP	4.94	16.7%	14.0%	2.7%	.311	5.62	21.4%	4.1%	64	+0.68	4.09	109	80
Cristian Aray R 2024 · 4.99 FIP	17	SP-	4.99	14.8%	11.8%	3.0%	.272	4.48	13.0%	-2.3%	72	-0.51	4.44	104	79
Wilian Bormie R 2023 · 5.84 FIP	22	SP-	5.84	21.6%	20.4%	3.6%	.275	4.13	23.2%	9.3%	203	-1.71	3.51	226	79
Marco Jimenez R 2022 · 5.27 FIP	22	SP-	5.27	19.6%	17.7%	2.9%	.372	3.89	18.3%	6.7%	148	-1.38	3.36	183	79
Jefferson Jean R 2024 · 6.45 FIP	19	SP-	6.45	18.3%	21.5%	4.0%	.311	4.79	16.9%	-0.3%	87	-1.66	4.79	132	79
Cristian Hernandez R 2024 · 4.39 FIP	19	SP	4.39	23.5%	19.9%	1.4%	.269	5.41	18.1%	2.6%	62	+1.02	4.39	116	79

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.3	30	21.3%	14.1%	1.20	5.23
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*