Aldo Leija

P ACL Padres

Age 23 RHP 6'2" / 160 lbs ROK peak 0.2 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	19	ROKSD	2	2	3	0.00	1.43	36.4%	9.1%	—	K 36.4% · BB 9.1% · FIP 1.18
2024	20	ROKSD	13	3	22	4.57	3.70	28.0%	14.0%	—	K 19.0% · BB 17.5% · FIP 5.56
2027PROJ	23	MLBSD	2	2	13	4.60	4.60	23.1%	11.2%	0.0
2028PROJ43% MLB	24	MLBSD	2	2	9	4.48	4.42	23.7%	10.3%	0.1

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

Contract

No contract data on file.

CompsCasey Legumina (age 24) · Ray Gaither (age 24) · Colin Fields (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121112vR 104

ERA4.60

FIP4.60

K%23.1%

BB%11.2%

K-BB%11.9%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 IP

Grades · Contract

Scouting Grades

K†5555

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 industry-standard fWAR.

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)
2022	18	ROK MLE	DSL Padres	12	12	43	169	54	8	3	100%	3.6	21.7%	5.9%	15.8%	2.5%	1.87	3.41	—
2022	18	ROK RAW	DSL Padres	12	12	43	169	54	8	3	100%	3.6	32.0%	4.7%	27.2%	1.8%	1.87	2.06	—
2023	19	ROK MLE	ACL Padres	2	2	3	11	4	1	0	100%	1.5	36.4%	9.1%	27.3%	0.0%	0.00	1.18	—
2023	19	ROK RAW	ACL Padres	2	2	3	11	4	1	0	100%	1.5	36.4%	9.1%	27.3%	0.0%	0.00	1.43	—
2024	20	ROK MLE	ACL Padres	13	3	22	93	26	13	2	23%	1.7	19.0%	17.5%	1.5%	3.4%	4.57	5.56	—
2024	20	ROK MLE	ACL Padres	13	3	22	93	26	13	2	23%	1.7	19.0%	17.5%	1.5%	3.4%	4.57	5.56	—
2024	20	ROK RAW	ACL Padres	13	3	22	93	26	13	2	23%	1.7	28.0%	14.0%	14.0%	2.2%	4.57	3.70	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	SD	2	2	13	55	13	6	2	100%	6.5	23.1%	11.2%	11.9%	3.0%	4.60	4.60	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	SD	4	4	20	84	20	9	3	100%	5.0	23.7%	10.3%	13.4%	3.0%	4.48	4.42	+0.1
2028	24	MLB CTX	SD	2	2	9	38	9	4	1	100%	4.5	23.7%	10.3%	13.4%	3.0%	4.48	4.42	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	9	36	9	4	1	100%	4.3	23.7%	10.3%	13.4%	3.0%	4.48	4.04	+0.1
/ 200 IP	—	RAW		36	36	200	844	211	94	23	100%	5.6	23.7%	10.3%	13.4%	3.0%	4.48	4.04	+2.0
Career	—	MLE		27	17	68	273	58	27	7	63%	2.5	21.4%	10.0%	11.4%	2.7%	2.65	4.06	+0.1
/ 200 IP	—	MLE		79	50	200	803	172	80	22	63%	2.5	21.4%	10.0%	11.4%	2.7%	2.65	4.06	+1.1

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
Aldo Leija (OGILVIE)	—	—	4.60	23.1%	11.2%	3.0%	—	4.42	23.7%	13.4%	20	-0.18	—	—	—
Casey Legumina R 2021 · 4.08 FIP	24	SP-	4.08	23.3%	9.3%	3.2%	.260	4.33	20.2%	11.3%	189	+0.25	3.54	355	82
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.34	18.3%	5.8%	123	-0.51	3.84	164	82
Colin Fields R 2023 · 3.62 FIP	23	SP-	3.62	20.5%	10.3%	1.7%	.246	3.86	22.0%	13.3%	208	+0.24	2.87	254	80
Hunter Gregory R 2022 · 3.90 FIP	23	SP-	3.90	21.2%	8.7%	2.7%	.374	4.56	20.4%	7.9%	188	+0.66	3.84	249	79
Mitch Neunborn R 2023 · 3.65 FIP	26	SP-	3.65	24.5%	9.5%	2.6%	.232	5.11	17.6%	6.7%	206	+1.46	3.65	248	79
Jared Ruxer R 2015 · 4.16 FIP	23	SP-	4.16	17.3%	10.6%	2.1%	.333	4.29	14.9%	7.5%	240	+0.13	3.39	270	77
Nathanael Santiago R 2015 · 3.44 FIP	25	SP-	3.44	20.3%	11.4%	1.1%	.286	3.58	23.2%	10.9%	71	+0.14	2.49	138	77
Drew Rasmussen R 2019 · 3.64 FIP	24	SP-	3.64	24.6%	12.6%	1.9%	.312	3.21	22.7%	16.2%	237	-0.43	1.21	694	75
Ryan Jennings R 2023 · 3.43 FIP	24	SP-	3.43	23.4%	11.9%	1.5%	.316	4.31	22.9%	10.2%	109	+0.88	3.43	142	75
Keagan Gillies R 2022 · 5.68 FIP	24	SP-	5.68	17.2%	11.3%	4.7%	.370	3.54	23.5%	13.9%	142	-2.14	2.93	177	74
Noah Skirrow R 2021 · 4.55 FIP	23	SP-	4.55	18.4%	11.5%	2.8%	.306	4.71	16.1%	6.1%	316	+0.16	3.97	371	74
Alfredo Figaro R 2009 · 4.98 FIP	25	SP-	4.98	19.3%	12.0%	3.6%	.370	4.42	7.2%	-1.5%	15	-0.56	3.75	143	73
Michael Knorr R 2023 · 4.30 FIP	23	SP-	4.30	23.6%	11.1%	3.3%	.312	5.15	22.0%	9.5%	123	+0.85	4.30	181	73
Ryan Atkinson R 2016 · 4.58 FIP	23	SP-	4.58	18.4%	11.3%	2.9%	.315	4.48	21.6%	9.0%	305	-0.10	4.14	338	73
River Ryan R 2022 · 3.69 FIP	23	SP	3.69	26.1%	12.2%	2.3%	.321	3.88	20.3%	9.2%	134	+0.19	2.44	223	73
Blair Henley R 2021 · 5.02 FIP	24	SP-	5.02	20.8%	12.2%	3.9%	.450	4.51	17.7%	5.4%	170	-0.51	3.97	187	73
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	73
Andrew Quezada R 2021 · 4.40 FIP	24	SP-	4.40	18.1%	8.1%	3.3%	.312	4.86	14.6%	6.1%	291	+0.46	4.40	412	73
Patrick Halligan R 2023 · 4.43 FIP	23	SW	4.43	18.8%	11.6%	2.6%	.330	3.80	25.1%	15.0%	175	-0.63	2.47	305	73
John Matthews R 2021 · 4.87 FIP	23	SW	4.87	18.6%	10.4%	3.7%	.351	4.75	15.5%	1.6%	145	-0.12	4.51	213	72