Gilberto Lopez

P ACL Rangers

Age 23 RHP 6'1" / 175 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	ROKDSL Rangers R…	11	8	49	3.12	2.53	27.2%	7.3%	—	K 18.5% · BB 9.1% · FIP 3.58
2026	22	ROKTEX	13	0	24	8.25	5.31	20.9%	10.4%	—	K 14.2% · BB 13.0% · FIP 6.89
2027PROJ	23	MLBTEX	50	0	52	5.24	5.24	17.1%	12.1%	-0.4
2028PROJ43% MLB	24	MLBTEX	22	0	23	5.06	5.00	18.3%	11.1%	-0.1
2029PROJ66% MLB	25	MLBTEX	34	0	36	4.91	4.85	19.1%	10.5%	-0.1

Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control45Command45

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsOrlando Ortiz-Mayr (age 24) · Jarret Whorff (age 24) · Danny Kirwin (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 133125vR 116

ERA5.24

FIP5.24

K%17.1%

BB%12.1%

K-BB%5.0%

Proj IP52

Value2027 · WAR

Runs saved vs league avg · 52 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL4545

CMD4545

K†4045

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)
2024	20	ROK MLE	DSL Rangers Blue	10	0	32	150	39	20	2	0%	3.2	17.7%	16.7%	1.0%	1.8%	4.73	4.69	—
2024	20	ROK MLE	DSL Rangers Blue	10	0	32	150	39	20	2	0%	3.2	17.7%	16.7%	1.0%	1.8%	4.73	4.69	—
2024	20	ROK RAW	DSL Rangers Blue	10	0	32	150	39	20	2	0%	3.2	26.0%	13.3%	12.7%	1.3%	4.73	3.35	—
2025	21	ROK MLE	DSL Rangers Red	11	8	49	206	56	15	3	73%	4.5	18.5%	9.1%	9.4%	1.6%	3.12	3.58	—
2025	21	ROK MLE	DSL Rangers Red	11	8	49	206	56	15	3	73%	4.5	18.5%	9.1%	9.4%	1.6%	3.12	3.58	—
2025	21	ROK RAW	DSL Rangers Red	11	8	49	206	56	15	3	73%	4.5	27.2%	7.3%	19.9%	1.5%	3.12	2.53	—
2026	22	ROK MLE	ACL Rangers	13	0	24	115	24	12	5	0%	1.8	14.2%	13.0%	1.1%	6.1%	8.25	6.89	—
2026	22	ROK MLE	ACL Rangers	13	0	24	115	24	12	5	0%	1.8	14.2%	13.0%	1.1%	6.1%	8.25	6.89	—
2026	22	ROK RAW	ACL Rangers	13	0	24	115	24	12	5	0%	1.8	20.9%	10.4%	10.4%	4.3%	8.25	5.31	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	TEX	50	0	52	220	37	27	7	0%	1.0	17.1%	12.1%	5.0%	3.0%	5.24	5.24	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	TEX	51	0	54	227	41	25	7	0%	1.1	18.3%	11.1%	7.2%	3.0%	5.06	5.00	-0.3
2029	25	MLB MLE	TEX	52	0	54	230	44	24	7	0%	1.0	19.1%	10.5%	8.5%	3.0%	4.91	4.85	-0.2
2028	24	MLB CTX	TEX	22	0	23	97	18	11	3	0%	1.0	18.3%	11.1%	7.2%	3.0%	5.06	5.00	-0.1
2029	25	MLB CTX	TEX	34	0	36	152	29	16	5	0%	1.1	19.1%	10.5%	8.5%	3.0%	4.91	4.85	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		56	0	59	249	47	27	7	0%	1.1	18.8%	10.8%	8.0%	3.0%	4.97	4.53	+0.0
/ 200 IP	—	RAW		190	0	200	844	159	92	24	0%	1.1	18.8%	10.8%	8.0%	3.0%	4.97	4.53	+0.1
Career	—	MLE		34	8	105	471	81	59	13	24%	3.1	17.2%	12.5%	4.7%	2.8%	4.78	4.74	-0.5
/ 200 IP	—	MLE		65	15	200	894	154	112	25	24%	3.1	17.2%	12.5%	4.7%	2.8%	4.78	4.74	-0.9

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
Gilberto Lopez (OGILVIE)	—	—	5.24	17.1%	12.1%	3.0%	—	4.92	18.7%	7.9%	108	-0.32	—	—	—
Orlando Ortiz-Mayr R 2022 · 4.61 FIP	24	SU	4.61	21.0%	13.2%	2.9%	.341	4.74	15.7%	4.0%	343	+0.13	3.65	492	85
Jarret Whorff R 2023 · 4.24 FIP	24	SW	4.24	19.5%	14.2%	1.8%	.287	4.34	19.4%	10.8%	193	+0.10	3.88	257	85
Danny Kirwin R 2024 · 4.19 FIP	24	SW	4.19	17.9%	9.9%	2.4%	.262	5.33	16.8%	4.6%	91	+1.14	4.16	161	84
Blake Quinn R 2017 · 5.41 FIP	23	SW	5.41	16.9%	15.3%	3.3%	.328	4.42	17.1%	3.3%	48	-0.99	4.42	122	84
Billy Corcoran R 2023 · 4.20 FIP	23	SW	4.20	19.5%	10.0%	2.7%	.308	5.26	16.4%	8.7%	208	+1.06	4.20	277	84
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	84
Conor Steinbaugh R 2024 · 4.74 FIP	25	SU	4.74	16.0%	9.9%	3.2%	.281	6.29	15.0%	2.1%	44	+1.55	4.74	111	84
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	83
Ben Anderson R 2021 · 4.84 FIP	23	SW	4.84	19.8%	9.4%	4.0%	.309	4.02	16.2%	7.7%	147	-0.82	3.80	399	83
Victor Santos R 2001 · 4.97 FIP	24	SW	4.97	15.5%	13.4%	2.7%	.231	4.38	16.4%	7.4%	206	-0.59	4.09	602	83
Jhonny Polanco R 2015 · 4.75 FIP	23	SW	4.75	18.9%	14.2%	2.6%	.283	4.06	21.3%	5.7%	48	-0.69	4.06	116	83
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	83
Paulshawn Pasqualotto R 2024 · 4.84 FIP	23	SW	4.84	15.6%	9.5%	3.4%	.354	3.77	20.2%	10.8%	111	-1.07	3.73	186	83
Dylan Cumming R 2023 · 4.11 FIP	24	SW	4.11	16.0%	10.7%	1.8%	.311	4.31	18.4%	9.4%	314	+0.20	3.75	406	83
Tyler Wehrle R 2023 · 4.06 FIP	23	SU	4.06	15.8%	10.5%	1.8%	.300	5.42	15.1%	3.4%	60	+1.36	4.06	141	83
Ryan Vogelsong R 2001 · 5.34 FIP	24	SU	5.34	14.6%	11.6%	3.7%	.287	4.78	14.9%	5.7%	155	-0.56	3.14	1,184	83
Nate Adcock R 2011 · 4.17 FIP	23	SU	4.17	13.6%	8.7%	2.0%	.289	4.39	14.9%	7.5%	35	+0.22	3.84	137	82
Kyle Smith R 2016 · 5.05 FIP	23	SW	5.05	14.7%	8.7%	3.8%	.326	3.31	15.2%	9.5%	76	-1.74	3.31	159	82
Joan Gregorio R 2015 · 4.29 FIP	23	SW	4.29	18.0%	10.2%	2.6%	.269	4.18	21.1%	11.1%	208	-0.11	3.69	301	82
Kelvis Valerio R 2015 · 4.53 FIP	23	SU	4.53	12.9%	10.3%	2.2%	.312	4.18	11.4%	4.0%	190	-0.35	4.14	266	82

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	0.8	54	18.2%	11.2%	1.17	5.07
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Mike Matthews ('05)	1.2	61	16.3%	11.3%	1.07	4.54
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*