Ronny Lopez

P ACL Cubs

Age 24 RHP 6'1" / 185 lbs ROK peak 0.1 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	20	ROKDSL Cubs Red	14	4	36	5.75	4.04	22.2%	16.5%	—	K 15.1% · BB 20.6% · FIP 5.33
2024	21	ROKDSL Cubs Blue	10	4	25	1.78	2.78	31.8%	18.7%	—	K 21.6% · BB 23.4% · FIP 4.23
2025	22	MIX2 levels	16	13	59	6.83	4.41	14.8%	14.5%	—	K 10.3% · BB 17.6% · FIP 5.35
2026	23	No MLB games played
2027PROJ	24	MLBCHC	—	—	0	5.66	5.66	17.2%	16.2%	—
2028PROJ43% MLB	25	MLBCHC	3	3	18	5.37	5.27	18.8%	14.1%	0.0
2029PROJ66% MLB	26	MLBCHC	4	4	25	5.20	5.14	19.7%	13.7%	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsZach Linginfelter (age 24) · Drew Conover (age 23) · Holt Jones (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 141133vR 124

ERA5.66

FIP5.66

K%17.2%

BB%16.2%

K-BB%1.1%

Proj IP36

Value2027 · WAR

Runs saved vs league avg · 36 IP

Grades · Contract

Scouting Grades

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 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)
2023	20	ROK MLE	DSL Cubs Red	14	4	36	158	35	26	2	29%	2.6	15.1%	20.6%	-5.5%	1.6%	5.75	5.33	—
2023	20	ROK RAW	DSL Cubs Red	14	4	36	158	35	26	2	29%	2.6	22.2%	16.5%	5.7%	1.3%	5.75	4.04	—
2024	21	ROK MLE	DSL Cubs Blue	10	4	25	107	34	20	0	40%	2.5	21.6%	23.4%	-1.8%	0.0%	1.78	4.23	—
2024	21	ROK MLE	DSL Cubs Blue	10	4	25	107	34	20	0	40%	2.5	21.6%	23.4%	-1.8%	0.0%	1.78	4.23	—
2024	21	ROK RAW	DSL Cubs Blue	10	4	25	107	34	20	0	40%	2.5	31.8%	18.7%	13.1%	0.0%	1.78	2.78	—
2025	22	MIX MLE	2 levels	16	13	59	283	42	41	3	81%	3.7	10.3%	17.6%	-7.2%	1.6%	6.83	5.35	—
2025	22	MIX MLE	2 levels	16	13	59	283	42	41	3	81%	3.7	10.3%	17.6%	-7.2%	1.6%	6.83	5.35	—
2025	22	MIX RAW	2 levels	16	13	59	283	42	41	3	81%	3.7	14.8%	14.5%	0.4%	1.1%	6.83	4.41	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	CHC	—	—	0	—	—	—	—	—	—	17.2%	16.2%	1.1%	2.9%	5.66	5.66	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	CHC	7	7	41	173	33	24	5	100%	5.9	18.8%	14.1%	4.7%	2.9%	5.37	5.27	+0.1
2029	26	MLB MLE	CHC	6	6	38	160	31	22	5	100%	6.3	19.7%	13.7%	6.0%	2.9%	5.20	5.14	+0.1
2030	27	MLB MLE	CHC	6	6	36	152	30	21	5	100%	6.0	19.9%	13.5%	6.3%	3.0%	5.15	5.14	+0.1
2031	28	MLB MLE	CHC	6	6	34	144	29	20	4	100%	5.7	19.8%	13.6%	6.2%	3.1%	5.18	5.20	+0.1
2028	25	MLB CTX	CHC	3	3	18	76	14	11	2	100%	6.0	18.8%	14.1%	4.7%	2.9%	5.37	5.27	+0.0
2029	26	MLB CTX	CHC	4	4	25	106	21	14	3	100%	6.2	19.7%	13.7%	6.0%	2.9%	5.20	5.14	+0.1
2030	27	MLB CTX	CHC	5	5	28	118	23	16	3	100%	5.6	19.9%	13.5%	6.3%	3.0%	5.15	5.14	+0.1
2031	28	MLB CTX	CHC	5	5	29	122	24	17	4	100%	5.8	19.8%	13.6%	6.2%	3.1%	5.18	5.20	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		17	17	99	419	82	57	12	100%	5.8	19.6%	13.7%	5.9%	3.0%	5.21	4.80	+0.7
/ 200 IP	—	RAW		33	33	200	844	165	115	24	100%	6.0	19.6%	13.7%	5.9%	3.0%	5.21	4.80	+1.4
Career	—	MLE		40	21	121	548	76	107	7	52%	3.0	13.9%	19.6%	-5.7%	1.3%	5.44	5.13	+0.4
/ 200 IP	—	MLE		66	35	200	908	126	178	12	52%	3.0	13.9%	19.6%	-5.7%	1.3%	5.44	5.13	+0.5

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.

2025 ROKACL Cubs · 32 IPFIP 3.80 → 5.15 (+1.35)K% 19.1% → 13.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.11%	—	×0.680	12.99%
BB% (unintentional) /BF	12.74%	—	×1.250	15.92%
HR / BF /BF	1.27%	÷0.868	×1.400	2.05%

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 74).

Result: FIP 3.80 → 5.15, 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 AMyrtle Beach Pelicans · 27 IPFIP 4.84 → 5.61 (+0.77)K% 9.5% → 7.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	9.52%	—	×0.740	7.05%
BB% (unintentional) /BF	16.67%	—	×1.180	19.67%
HR / BF /BF	0.79%	÷0.925	×1.300	1.12%

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 85).

Result: FIP 4.84 → 5.61, 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 Cubs Blue · 25 IPFIP 2.78 → 4.23 (+1.45)K% 31.8% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.78%	—	×0.680	21.61%
BB% (unintentional) /BF	18.69%	—	×1.250	23.36%
HR / BF /BF	0.00%	÷0.911	×1.400	0.00%

Result: FIP 2.78 → 4.23, 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).

2023 ROKDSL Cubs Red · 36 IPFIP 4.01 → 5.33 (+1.32)K% 22.2% → 15.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.15%	—	×0.680	15.06%
BB% (unintentional) /BF	16.46%	—	×1.250	20.57%
HR / BF /BF	1.27%	÷1.090	×1.400	1.63%

Result: FIP 4.01 → 5.33, 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
Ronny Lopez (OGILVIE)	—	—	5.66	17.2%	16.2%	2.9%	—	5.19	19.4%	5.7%	115	-0.47	—	—	—
Zach Linginfelter R 2021 · 5.53 FIP	24	SP-	5.53	19.1%	16.0%	3.7%	.295	5.01	18.8%	-0.6%	46	-0.52	3.62	109	87
Drew Conover R 2024 · 6.25 FIP	23	SW	6.25	15.6%	29.8%	1.3%	.272	5.19	12.6%	-3.4%	106	-1.06	4.49	145	81
Holt Jones R 2023 · 5.06 FIP	24	SP-	5.06	16.1%	17.9%	1.9%	.285	4.33	21.4%	7.0%	173	-0.73	4.21	254	81
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	79
Kyle Larsen R 2024 · 5.54 FIP	21	SP-	5.54	15.8%	17.9%	2.8%	.274	4.95	19.9%	6.2%	83	-0.59	4.83	143	79
Eriq Swan R 2024 · 4.85 FIP	22	SP-	4.85	19.7%	17.3%	2.2%	.371	5.28	19.7%	0.9%	109	+0.43	4.85	132	77
Jonathan Hughes R 2021 · 4.60 FIP	24	SP-	4.60	12.9%	12.5%	1.8%	.351	3.79	16.5%	6.2%	146	-0.81	3.44	219	77
Wirkin Estevez R 2016 · 5.39 FIP	24	SW	5.39	10.7%	13.4%	2.7%	.316	4.46	12.3%	3.5%	179	-0.93	4.37	238	77
Carlos Torres R 2009 · 5.24 FIP	26	SP-	5.24	16.9%	11.5%	3.9%	.284	3.59	18.2%	7.3%	67	-1.65	2.89	604	77
Luis Martinez-Gomez R 2024 · 5.22 FIP	21	SP-	5.22	13.9%	15.4%	2.5%	.237	4.69	20.8%	6.1%	105	-0.53	3.76	133	77
David Rodriguez R 2024 · 4.50 FIP	22	SP-	4.50	13.5%	11.7%	1.9%	.316	3.85	16.9%	9.9%	125	-0.65	3.80	184	76
Nick Gallagher R 2019 · 4.56 FIP	23	SP-	4.56	22.0%	17.9%	1.9%	.274	5.02	21.0%	7.0%	73	+0.46	4.10	196	76
Jeff Manship R 2009 · 4.69 FIP	24	SW	4.69	14.4%	10.3%	2.7%	.330	4.23	14.9%	9.5%	51	-0.46	2.83	250	76
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	76
Jacob Cravey R 2024 · 5.15 FIP	22	SP-	5.15	14.4%	18.0%	1.8%	.333	5.84	14.7%	1.0%	124	+0.69	4.97	208	76
Orlando Gonzalez R 2024 · 6.34 FIP	21	SP-	6.34	13.8%	18.8%	3.7%	.155	4.18	18.9%	4.9%	71	-2.16	3.83	114	76
Lucas Harrell R 2010 · 4.65 FIP	25	SW	4.65	12.6%	13.4%	1.7%	.372	4.24	15.1%	5.1%	365	-0.41	2.81	541	75
Ted Stuka R 2021 · 5.72 FIP	24	SW	5.72	12.4%	23.4%	1.3%	.262	6.22	15.9%	-13.1%	41	+0.50	5.36	105	74
Alex Makarewich R 2024 · 6.15 FIP	22	SP-	6.15	19.7%	26.7%	2.4%	.425	5.15	26.4%	-3.3%	83	-1.00	4.26	110	74
Jeff Niemann R 2008 · 5.04 FIP	25	SW	5.04	18.4%	10.5%	4.0%	.294	4.16	17.4%	10.3%	490	-0.88	2.96	544	74

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	0.9	37	19.1%	14.2%	1.14	5.31
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*