Jecsua Liborius

P Ontario Tower Buzzers

Age 22 RHP 6'1" / 190 lbs A peak 0.1 · 2031

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKLAD	14	13	9.95	5.07	17.6%	23.0%	—	K 11.9% · BB 28.7% · FIP 5.73
2026	21	ALAD	45	53	4.44	3.31	35.2%	15.7%	—	K 26.1% · BB 18.5% · FIP 4.79
2027PROJ	22	MLBLAD	25	26	5.37	5.37	24.2%	18.3%	-0.2
2028PROJ49% MLB	23	MLBLAD	23	24	5.07	4.94	24.8%	15.5%	-0.1
2029PROJ70% MLB	24	MLBLAD	33	35	4.80	4.65	25.3%	13.6%	-0.0

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 -0 / P90 1, comp-based) · star 1% · didn't stick 93%

CompsSaul Teran (age 22) · CJ Weins (age 23) · Isaac Gallegos (age 21)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 135127vR 119

ERA5.37

FIP5.37

K%24.2%

BB%18.3%

K-BB%5.9%

Proj IP26

Value2027 · WAR

Runs saved vs league avg · 26 IP

Grades · Contract

Scouting Grades

K†6060

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)
2023	18	ROK MLE	DSL LAD Bautista	15	0	19	93	19	11	1	0%	1.2	13.9%	14.8%	-0.9%	1.1%	4.82	4.43	—
2023	18	ROK RAW	DSL LAD Bautista	15	0	19	93	19	11	1	0%	1.2	20.4%	11.8%	8.6%	1.1%	4.82	3.53	—
2024	19	ROK MLE	DSL LAD Mega	17	0	24	112	20	17	1	0%	1.4	12.1%	19.0%	-6.8%	1.1%	3.75	5.10	—
2024	19	ROK MLE	DSL LAD Mega	17	0	24	112	20	17	1	0%	1.4	12.1%	19.0%	-6.8%	1.1%	3.75	5.10	—
2024	19	ROK RAW	DSL LAD Mega	17	0	24	112	20	17	1	0%	1.4	17.9%	15.2%	2.7%	0.9%	3.75	4.10	—
2025	20	ROK MLE	ACL Dodgers	14	0	13	74	13	17	0	0%	0.9	11.9%	28.7%	-16.8%	0.0%	9.95	5.73	—
2025	20	ROK MLE	ACL Dodgers	14	0	13	74	13	17	0	0%	0.9	11.9%	28.7%	-16.8%	0.0%	9.95	5.73	—
2025	20	ROK RAW	ACL Dodgers	14	0	13	74	13	17	0	0%	0.9	17.6%	23.0%	-5.4%	0.0%	9.95	5.07	—
2026	21	A MLE	Ontario Tower Buzzers	45	0	53	230	81	36	5	0%	1.2	26.1%	18.5%	7.6%	2.8%	4.44	4.79	—
2026	21	A MLE	Ontario Tower Buzzers	45	0	53	230	81	36	5	0%	1.2	26.1%	18.5%	7.6%	2.8%	4.44	4.79	—
2026	21	A RAW	Ontario Tower Buzzers	45	0	53	230	81	36	5	0%	1.2	35.2%	15.7%	19.6%	2.2%	4.44	3.31	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	LAD	25	0	26	110	27	20	3	0%	1.0	24.2%	18.3%	5.9%	2.9%	5.37	5.37	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	LAD	47	0	49	208	52	32	6	0%	1.0	24.8%	15.5%	9.3%	2.9%	5.07	4.94	-0.2
2029	24	MLB MLE	LAD	48	0	50	213	54	29	6	0%	1.1	25.3%	13.6%	11.6%	2.9%	4.80	4.65	-0.1
2030	25	MLB MLE	LAD	49	0	51	215	55	27	6	0%	1.0	25.5%	12.4%	13.2%	2.9%	4.60	4.47	+0.0
2031	26	MLB MLE	LAD	49	0	51	215	55	26	6	0%	1.0	25.7%	12.3%	13.4%	2.9%	4.50	4.44	+0.1
2028	23	MLB CTX	LAD	23	0	24	101	25	16	3	0%	1.0	24.8%	15.5%	9.3%	2.9%	5.07	4.94	-0.1
2029	24	MLB CTX	LAD	33	0	35	148	37	20	4	0%	1.1	25.3%	13.6%	11.6%	2.9%	4.80	4.65	-0.0
2030	25	MLB CTX	LAD	39	0	41	173	44	21	5	0%	1.1	25.5%	12.4%	13.2%	2.9%	4.60	4.47	+0.0
2031	26	MLB CTX	LAD	43	0	45	190	49	23	5	0%	1.0	25.7%	12.3%	13.4%	2.9%	4.50	4.44	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		138	0	145	613	156	81	18	0%	1.1	25.4%	13.2%	12.2%	2.9%	4.70	4.20	+0.6
/ 200 IP	—	RAW		190	0	200	844	215	111	25	0%	1.0	25.4%	13.2%	12.2%	2.9%	4.70	4.20	+0.8
Career	—	MLE		91	0	108	509	95	99	9	0%	1.2	18.7%	19.4%	-0.7%	1.7%	5.00	4.93	-0.2
/ 200 IP	—	MLE		169	0	200	943	176	183	16	0%	1.2	18.7%	19.4%	-0.7%	1.7%	5.00	4.93	-0.2

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
Jecsua Liborius (OGILVIE)	—	—	5.37	24.2%	18.3%	2.9%	—	4.68	25.2%	11.4%	151	-0.69	—	—	—
Saul Teran R 2024 · 5.21 FIP	22	SU	5.21	22.4%	18.8%	2.9%	.279	4.40	20.1%	10.7%	84	-0.81	2.28	166	90
CJ Weins R 2024 · 4.55 FIP	23	SU	4.55	24.7%	15.9%	2.8%	.276	5.77	16.2%	-4.4%	76	+1.22	4.55	117	89
Isaac Gallegos R 2024 · 4.40 FIP	21	SU	4.40	22.9%	17.8%	1.8%	.267	3.09	19.9%	10.5%	106	-1.31	2.89	125	88
Zane Russell R 2024 · 4.95 FIP	24	SU	4.95	22.7%	18.3%	2.6%	.314	5.36	18.2%	6.7%	71	+0.41	4.63	108	88
Konnor Ash R 2022 · 4.57 FIP	23	SU	4.57	22.2%	17.0%	2.2%	.340	3.56	22.4%	8.7%	87	-1.01	2.11	127	88
Gabriel Ponce R 2021 · 4.62 FIP	22	SU	4.62	24.4%	16.2%	2.8%	.328	4.53	22.5%	7.8%	110	-0.09	4.45	161	88
Luis Ramirez R 2015 · 4.68 FIP	23	SU	4.68	23.1%	15.9%	2.8%	.278	3.71	24.0%	11.4%	53	-0.97	3.71	104	88
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	88
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	88
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	87
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.56	176	87
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	87
Jonathan Teaney R 2018 · 4.77 FIP	22	SU	4.77	22.5%	19.8%	1.9%	.328	5.65	16.4%	0.7%	55	+0.88	4.77	108	87
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	86
Marcus Crescentini R 2015 · 5.80 FIP	22	SU	5.80	21.8%	21.9%	3.2%	.365	3.95	23.3%	11.6%	123	-1.85	2.74	150	85
Matt Brill R 2018 · 4.90 FIP	23	SU	4.90	20.8%	16.3%	2.7%	.248	3.89	19.4%	4.9%	60	-1.01	3.73	161	85
Samuel Carpio R 2024 · 4.20 FIP	21	SU	4.20	21.2%	15.3%	1.7%	.300	5.36	21.6%	-3.4%	112	+1.16	4.20	134	85
Craig Schlitter R 2016 · 4.53 FIP	24	SU	4.53	22.7%	15.4%	2.5%	.298	4.67	14.7%	4.2%	171	+0.14	4.25	222	85
Antonio Knowles R 2022 · 4.28 FIP	22	SU	4.28	22.8%	19.4%	1.2%	.286	4.39	22.0%	8.8%	158	+0.11	3.24	223	85
José Mesa Jr. R 2016 · 5.41 FIP	22	SU	5.41	22.4%	17.2%	3.7%	.311	4.00	22.8%	9.6%	113	-1.41	3.33	176	85

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	1.1	46	25.2%	14.0%	1.12	4.81
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*